36 results on '"Maatz, H"'
Search Results
2. Pathogenic variants damage cell compositions and single cell transcription in cardiomyopathies
- Author
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Reichart, D, primary, Lindberg, E L, additional, Maatz, H, additional, Miranda, A, additional, Viveiros, A, additional, Shvetsov, N, additional, Lee, M, additional, Kanemaru, K, additional, Milting, H, additional, Noseda, M, additional, Oudit, G, additional, Heinig, M, additional, Seidman, J G, additional, Huebner, N, additional, and Seidman, C E, additional
- Published
- 2022
- Full Text
- View/download PDF
3. LifeTime and improving European healthcare through cell-based interceptive medicine
- Author
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Rajewsky, N., Almouzni, G., Gorski, S., Aerts, S., Amit, I., Bertero, M., Bock, C., Bredenoord, A., Cavalli, G., Chiocca, S., Clevers, H., Strooper, B., Eggert, A., Ellenberg, J., Fernández, X., Figlerowicz, M., Gasser, S., Hubner, N., Kjems, J., Knoblich, J., Krabbe, G., Lichter, P., Linnarsson, S., Marine, J., Marioni, J., Marti-Renom, M., Netea, M., Nickel, D., Nollmann, M., Novak, H., Parkinson, H., Piccolo, S., Pinheiro, I., Pombo, A., Popp, C., Reik, W., Roman-Roman, S., Rosenstiel, P., Schultze, J., Stegle, O., Tanay, A., Testa, G., Thanos, D., Theis, F., Torres-Padilla, M., Valencia, A., Vallot, C., van Oudenaarden, A., Vidal, M., Voet, T., Alberi, L., Alexander, S., Alexandrov, T., Arenas, E., Bagni, C., Balderas, R., Bandelli, A., Becher, B., Becker, M., Beerenwinkel, N., Benkirame, M., Beyer, M., Bickmore, W., Biessen, E., Blomberg, N., Blumcke, I., Bodenmiller, B., Borroni, B., Boumpas, D., Bourgeron, T., Bowers, S., Braeken, D., Brooksbank, C., Brose, N., Bruining, H., Bury, J., Caporale, N., Cattoretti, G., Chabane, N., Chneiweiss, H., Cook, S., Curatolo, P., de Jonge, M., Deplancke, B., de Witte, P., Dimmeler, S., Draganski, B., Drews, A., Dumbrava, C., Engelhardt, S., Gasser, T., Giamarellos-Bourboulis, E., Graff, C., Grün, D., Gut, I., Hansson, O., Henshall, D., Herland, A., Heutink, P., Heymans, S., Heyn, H., Huch, M., Huitinga, I., Jackowiak, P., Jongsma, K., Journot, L., Junker, J., Katz, S., Kehren, J., Kempa, S., Kirchhof, P., Klein, C., Koralewska, N., Korbel, J., Kühnemund, M., Lamond, A., Lauwers, E., Le Ber, I., Leinonen, V., Tobon, A., Lundberg, E., Lunkes, A., Maatz, H., Mann, M., Marelli, L., Matser, V., Matthews, P., Mechta-Grigoriou, F., Menon, R., Nielsen, A., Pagani, M., Pasterkamp, R., Pitkänen, A., Popescu, V., Pottier, C., Puisieux, A., Rademakers, R., Reiling, D., Reiner, O., Remondini, D., Ritchie, C., Rohrer, J., Saliba, A., Sanchez-Valle, R., Santosuosso, A., Sauter, A., Scheltema, R., Scheltens, P., Schiller, H., Schneider, A., Seibler, P., Sheehan-Rooney, K., Shields, D., Sleegers, K., Smit, A., Smith, K., Smolders, I., Synofzik, M., Tam, W., Teichmann, S., Thom, M., Turco, M., van Beusekom, H., Vandenberghe, R., den Hoecke, S., de Poel, I., van der Ven, A., van der Zee, J., van Lunzen, J., van Minnebruggen, G., Paesschen, W., van Swieten, J., van Vught, R., Verhage, M., Verstreken, P., Villa, C., Vogel, J., von Kalle, C., Walter, J., Weckhuysen, S., Weichert, W., Wood, L., Ziegler, A., Zipp, F., HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany., Medical Research Council (MRC), UK DRI Ltd, TWINCORE, Zentrum für experimentelle und klinische Infektionsforschung GmbH,Feodor-Lynen Str. 7, 30625 Hannover, Germany., Barcelona Supercomputing Center, LifeTime Community Working Groups, Cardiology, Neurology, Institut de génétique humaine (IGH), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Human genetics, Rajewsky N., Almouzni G., Gorski S.A., Aerts S., Amit I., Bertero M.G., Bock C., Bredenoord A.L., Cavalli G., Chiocca S., Clevers H., De Strooper B., Eggert A., Ellenberg J., Fernandez X.M., Figlerowicz M., Gasser S.M., Hubner N., Kjems J., Knoblich J.A., Krabbe G., Lichter P., Linnarsson S., Marine J.-C., Marioni J.C., Marti-Renom M.A., Netea M.G., Nickel D., Nollmann M., Novak H.R., Parkinson H., Piccolo S., Pinheiro I., Pombo A., Popp C., Reik W., Roman-Roman S., Rosenstiel P., Schultze J.L., Stegle O., Tanay A., Testa G., Thanos D., Theis F.J., Torres-Padilla M.-E., Valencia A., Vallot C., van Oudenaarden A., Vidal M., Voet T., Alberi L., Alexander S., Alexandrov T., Arenas E., Bagni C., Balderas R., Bandelli A., Becher B., Becker M., Beerenwinkel N., Benkirame M., Beyer M., Bickmore W., Biessen E.E.A.L., Blomberg N., Blumcke I., Bodenmiller B., Borroni B., Boumpas D.T., Bourgeron T., Bowers S., Braeken D., Brooksbank C., Brose N., Bruining H., Bury J., Caporale N., Cattoretti G., Chabane N., Chneiweiss H., Cook S.A., Curatolo P., de Jonge M.I., Deplancke B., de Witte P., Dimmeler S., Draganski B., Drews A., Dumbrava C., Engelhardt S., Gasser T., Giamarellos-Bourboulis E.J., Graff C., Grun D., Gut I., Hansson O., Henshall D.C., Herland A., Heutink P., Heymans S.R.B., Heyn H., Huch M., Huitinga I., Jackowiak P., Jongsma K.R., Journot L., Junker J.P., Katz S., Kehren J., Kempa S., Kirchhof P., Klein C., Koralewska N., Korbel J.O., Kuhnemund M., Lamond A.I., Lauwers E., Le Ber I., Leinonen V., Tobon A.L., Lundberg E., Lunkes A., Maatz H., Mann M., Marelli L., Matser V., Matthews P.M., Mechta-Grigoriou F., Menon R., Nielsen A.F., Pagani M., Pasterkamp R.J., Pitkanen A., Popescu V., Pottier C., Puisieux A., Rademakers R., Reiling D., Reiner O., Remondini D., Ritchie C., Rohrer J.D., Saliba A.-E., Sanchez-Valle R., Santosuosso A., Sauter A., Scheltema R.A., Scheltens P., Schiller H.B., Schneider A., Seibler P., Sheehan-Rooney K., Shields D., Sleegers K., Smit A.B., Smith K.G.C., Smolders I., Synofzik M., Tam W.L., Teichmann S., Thom M., Turco M.Y., van Beusekom H.M.M., Vandenberghe R., Van den Hoecke S., Van de Poel I., van der Ven A., van der Zee J., van Lunzen J., van Minnebruggen G., Van Paesschen W., van Swieten J., van Vught R., Verhage M., Verstreken P., Villa C.E., Vogel J., von Kalle C., Walter J., Weckhuysen S., Weichert W., Wood L., Ziegler A.-G., Zipp F., Center for Neurogenomics and Cognitive Research, Functional Genomics, Rajewsky, N, Almouzni, G, Gorski, S, Aerts, S, Amit, I, Bertero, M, Bock, C, Bredenoord, A, Cavalli, G, Chiocca, S, Clevers, H, De Strooper, B, Eggert, A, Ellenberg, J, Fernández, X, Figlerowicz, M, Gasser, S, Hubner, N, Kjems, J, Knoblich, J, Krabbe, G, Lichter, P, Linnarsson, S, Marine, J, Marioni, J, Marti-Renom, M, Netea, M, Nickel, D, Nollmann, M, Novak, H, Parkinson, H, Piccolo, S, Pinheiro, I, Pombo, A, Popp, C, Reik, W, Roman-Roman, S, Rosenstiel, P, Schultze, J, Stegle, O, Tanay, A, Testa, G, Thanos, D, Theis, F, Torres-Padilla, M, Valencia, A, Vallot, C, van Oudenaarden, A, Vidal, M, Voet, T, Cattoretti, G, Alliance for Modulation in Epilepsy, Pharmaceutical and Pharmacological Sciences, Experimental Pharmacology, RS: Carim - H02 Cardiomyopathy, MUMC+: MA Med Staf Spec Cardiologie (9), and Cardiologie
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0301 basic medicine ,Male ,Artificial intelligence ,Legislation, Medical ,[SDV]Life Sciences [q-bio] ,Molecular datasets ,lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4] ,Cell- and Tissue-Based Therapy ,Diseases ,LifeTime Community Working Groups ,Disease ,Biomarkers ,Systems biology ,Health data ,Pharmacology, Toxicology and Pharmaceutics(all) ,0302 clinical medicine ,Conjunts de dades ,ethics [Delivery of Health Care] ,Health care ,Pathology ,Medicine ,European healthcare ,BRAIN ,Single-cell multi-omics ,GENE-EXPRESSION ,Multidisciplinary ,methods [Medicine] ,Education, Medical ,Settore BIO/13 ,Intel.ligència artificial ,3. Good health ,ALZHEIMERS-DISEASE ,Europe ,Health ,Management system ,Perspective ,Female ,ddc:500 ,Single-Cell Analysis ,Biomarkers, Diseases, Systems biology ,Complex diseases ,Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC] ,medicine.medical_specialty ,General Science & Technology ,Cells ,MEDLINE ,cell-based interceptive medicine ,LifeTime Initiative ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Clinical datasets ,Artificial Intelligence ,REVEALS ,LifeTime Community ,standards [Medicine] ,Humans ,OMICS ,RECONSTRUCTION ,Intensive care medicine ,trends [Medicine] ,trends [Delivery of Health Care] ,business.industry ,Disease progression ,standards [Delivery of Health Care] ,methods [Delivery of Health Care] ,030104 developmental biology ,lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4] ,single cell, personalized therapy, machine learning, bioinformatics, systems biology, disease, cell-based interceptive medicine ,Early Diagnosis ,Cardiovascular and Metabolic Diseases ,Human medicine ,business ,Delivery of Health Care ,030217 neurology & neurosurgery ,Cell based - Abstract
Here we describe the LifeTime Initiative, which aims to track, understand and target human cells during the onset and progression of complex diseases, and to analyse their response to therapy at single-cell resolution. This mission will be implemented through the development, integration and application of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during the progression from health to disease. The analysis of large molecular and clinical datasets will identify molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. The timely detection and interception of disease embedded in an ethical and patient-centred vision will be achieved through interactions across academia, hospitals, patient associations, health data management systems and industry. The application of this strategy to key medical challenges in cancer, neurological and neuropsychiatric disorders, and infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade., The LifeTime initiative is an ambitious, multidisciplinary programme that aims to improve healthcare by tracking individual human cells during disease processes and responses to treatment in order to develop and implement cell-based interceptive medicine in Europe.
- Published
- 2020
4. Publisher Correction: LifeTime and improving European healthcare through cell-based interceptive medicine (Nature, (2020), 587, 7834, (377-386), 10.1038/s41586-020-2715-9)
- Author
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Rajewsky, N. Almouzni, G. Gorski, S.A. Aerts, S. Amit, I. Bertero, M.G. Bock, C. Bredenoord, A.L. Cavalli, G. Chiocca, S. Clevers, H. De Strooper, B. Eggert, A. Ellenberg, J. Fernández, X.M. Figlerowicz, M. Gasser, S.M. Hubner, N. Kjems, J. Knoblich, J.A. Krabbe, G. Lichter, P. Linnarsson, S. Marine, J.-C. Marioni, J.C. Marti-Renom, M.A. Netea, M.G. Nickel, D. Nollmann, M. Novak, H.R. Parkinson, H. Piccolo, S. Pinheiro, I. Pombo, A. Popp, C. Reik, W. Roman-Roman, S. Rosenstiel, P. Schultze, J.L. Stegle, O. Tanay, A. Testa, G. Thanos, D. Theis, F.J. Torres-Padilla, M.-E. Valencia, A. Vallot, C. van Oudenaarden, A. Vidal, M. Voet, T. Alberi, L. Alexander, S. Alexandrov, T. Arenas, E. Bagni, C. Balderas, R. Bandelli, A. Becher, B. Becker, M. Beerenwinkel, N. Benkirane, M. Beyer, M. Bickmore, W.A. Biessen, E.E.A.L. Blomberg, N. Blumcke, I. Bodenmiller, B. Borroni, B. Boumpas, D.T. Bourgeron, T. Bowers, S. Braeken, D. Brooksbank, C. Brose, N. Bruining, H. Bury, J. Caporale, N. Cattoretti, G. Chabane, N. Chneiweiss, H. Cook, S.A. Curatolo, P. de Jonge, M.I. Deplancke, B. de Witte, P. Dimmeler, S. Draganski, B. Drews, A. Dumbrava, C. Engelhardt, S. Gasser, T. Giamarellos-Bourboulis, E.J. Graff, C. Grün, D. Gut, I.G. Hansson, O. Henshall, D.C. Herland, A. Heutink, P. Heymans, S.R.B. Heyn, H. Huch, M. Huitinga, I. Jackowiak, P. Jongsma, K.R. Journot, L. Junker, J.P. Katz, S. Kehren, J. Kempa, S. Kirchhof, P. Klein, C. Koralewska, N. Korbel, J.O. Kühnemund, M. Lamond, A.I. Lauwers, E. Le Ber, I. Leinonen, V. López-Tobón, A. Lundberg, E. Lunkes, A. Maatz, H. Mann, M. Marelli, L. Matser, V. Matthews, P.M. Mechta-Grigoriou, F. Menon, R. Nielsen, A.F. Pagani, M. Pasterkamp, R.J. Pitkänen, A. Popescu, V. Pottier, C. Puisieux, A. Rademakers, R. Reiling, D. Reiner, O. Remondini, D. Ritchie, C. Rohrer, J.D. Saliba, A.-E. Sanchez-Valle, R. Santosuosso, A. Sauter, A. Scheltema, R.A. Scheltens, P. Schiller, H.B. Schneider, A. Seibler, P. Sheehan-Rooney, K. Shields, D.J. Sleegers, K. Smit, A.B. Smith, K.G.C. Smolders, I. Synofzik, M. Tam, W.L. Teichmann, S.A. Thom, M. Turco, M.Y. van Beusekom, H.M.M. Vandenberghe, R. Van den Hoecke, S. van de Poel, I. van der Ven, A. van der Zee, J. van Lunzen, J. van Minnebruggen, G. van Oudenaarden, A. Van Paesschen, W. van Swieten, J.C. van Vught, R. Verhage, M. Verstreken, P. Villa, C.E. Vogel, J. von Kalle, C. Walter, J. Weckhuysen, S. Weichert, W. Wood, L. Ziegler, A.-G. Zipp, F. LifeTime Community Working Groups
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ComputingMethodologies_DOCUMENTANDTEXTPROCESSING - Abstract
In this Perspective, owing to an error in the HTML, the surname of author Alejandro López-Tobón of the LifeTime Community Working Groups consortium was indexed as ‘Tobon’ rather than ‘López-Tobón’ and the accents were missing. The HTML version of the original Perspective has been corrected; the PDF and print versions were always correct. © 2021, The Author(s).
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- 2021
5. Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics
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Muus, C, Luecken, MD, Eraslan, G, Sikkema, L, Waghray, A, Heimberg, G, Kobayashi, Y, Vaishnav, ED, Subramanian, A, Smillie, C, Jagadeesh, KA, Duong, ET, Fiskin, E, Triglia, ET, Ansari, M, Cai, P, Lin, B, Buchanan, J, Chen, S, Shu, J, Haber, AL, Chung, H, Montoro, DT, Adams, T, Aliee, H, Allon, SJ, Andrusivova, Z, Angelidis, I, Ashenberg, O, Bassler, K, Bécavin, C, Benhar, I, Bergenstråhle, J, Bergenstråhle, L, Bolt, L, Braun, E, Bui, LT, Callori, S, Chaffin, M, Chichelnitskiy, E, Chiou, J, Conlon, TM, Cuoco, MS, Cuomo, ASE, Deprez, M, Duclos, G, Fine, D, Fischer, DS, Ghazanfar, S, Gillich, A, Giotti, B, Gould, J, Guo, M, Gutierrez, AJ, Habermann, AC, Harvey, T, He, P, Hou, X, Hu, L, Hu, Y, Jaiswal, A, Ji, L, Jiang, P, Kapellos, TS, Kuo, CS, Larsson, L, Leney-Greene, MA, Lim, K, Litviňuková, M, Ludwig, LS, Lukassen, S, Luo, W, Maatz, H, Madissoon, E, Mamanova, L, Manakongtreecheep, K, Leroy, S, Mayr, CH, Mbano, IM, McAdams, AM, Nabhan, AN, Nyquist, SK, Penland, L, Poirion, OB, Poli, S, Qi, CC, Queen, R, Reichart, D, Rosas, I, Schupp, JC, Shea, CV, Shi, X, Sinha, R, Sit, RV, Slowikowski, K, Slyper, M, Smith, NP, Sountoulidis, A, Strunz, M, Sullivan, TB, Muus, C, Luecken, MD, Eraslan, G, Sikkema, L, Waghray, A, Heimberg, G, Kobayashi, Y, Vaishnav, ED, Subramanian, A, Smillie, C, Jagadeesh, KA, Duong, ET, Fiskin, E, Triglia, ET, Ansari, M, Cai, P, Lin, B, Buchanan, J, Chen, S, Shu, J, Haber, AL, Chung, H, Montoro, DT, Adams, T, Aliee, H, Allon, SJ, Andrusivova, Z, Angelidis, I, Ashenberg, O, Bassler, K, Bécavin, C, Benhar, I, Bergenstråhle, J, Bergenstråhle, L, Bolt, L, Braun, E, Bui, LT, Callori, S, Chaffin, M, Chichelnitskiy, E, Chiou, J, Conlon, TM, Cuoco, MS, Cuomo, ASE, Deprez, M, Duclos, G, Fine, D, Fischer, DS, Ghazanfar, S, Gillich, A, Giotti, B, Gould, J, Guo, M, Gutierrez, AJ, Habermann, AC, Harvey, T, He, P, Hou, X, Hu, L, Hu, Y, Jaiswal, A, Ji, L, Jiang, P, Kapellos, TS, Kuo, CS, Larsson, L, Leney-Greene, MA, Lim, K, Litviňuková, M, Ludwig, LS, Lukassen, S, Luo, W, Maatz, H, Madissoon, E, Mamanova, L, Manakongtreecheep, K, Leroy, S, Mayr, CH, Mbano, IM, McAdams, AM, Nabhan, AN, Nyquist, SK, Penland, L, Poirion, OB, Poli, S, Qi, CC, Queen, R, Reichart, D, Rosas, I, Schupp, JC, Shea, CV, Shi, X, Sinha, R, Sit, RV, Slowikowski, K, Slyper, M, Smith, NP, Sountoulidis, A, Strunz, M, and Sullivan, TB
- Abstract
Angiotensin-converting enzyme 2 (ACE2) and accessory proteases (TMPRSS2 and CTSL) are needed for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cellular entry, and their expression may shed light on viral tropism and impact across the body. We assessed the cell-type-specific expression of ACE2, TMPRSS2 and CTSL across 107 single-cell RNA-sequencing studies from different tissues. ACE2, TMPRSS2 and CTSL are coexpressed in specific subsets of respiratory epithelial cells in the nasal passages, airways and alveoli, and in cells from other organs associated with coronavirus disease 2019 (COVID-19) transmission or pathology. We performed a meta-analysis of 31 lung single-cell RNA-sequencing studies with 1,320,896 cells from 377 nasal, airway and lung parenchyma samples from 228 individuals. This revealed cell-type-specific associations of age, sex and smoking with expression levels of ACE2, TMPRSS2 and CTSL. Expression of entry factors increased with age and in males, including in airway secretory cells and alveolar type 2 cells. Expression programs shared by ACE2+TMPRSS2+ cells in nasal, lung and gut tissues included genes that may mediate viral entry, key immune functions and epithelial–macrophage cross-talk, such as genes involved in the interleukin-6, interleukin-1, tumor necrosis factor and complement pathways. Cell-type-specific expression patterns may contribute to the pathogenesis of COVID-19, and our work highlights putative molecular pathways for therapeutic intervention.
- Published
- 2021
6. Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics
- Author
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Muus, C, Luecken, MD, Eraslan, G, Sikkema, L, Waghray, A, Heimberg, G, Kobayashi, Y, Vaishnav, ED, Subramanian, A, Smillie, C, Jagadeesh, KA, Duong, ET, Fiskin, E, Triglia, ET, Ansari, M, Cai, P, Lin, B, Buchanan, J, Chen, S, Shu, J, Haber, AL, Chung, H, Montoro, DT, Adams, T, Aliee, H, Allon, SJ, Andrusivova, Z, Angelidis, I, Ashenberg, O, Bassler, K, Bécavin, C, Benhar, I, Bergenstråhle, J, Bergenstråhle, L, Bolt, L, Braun, E, Bui, LT, Callori, S, Chaffin, M, Chichelnitskiy, E, Chiou, J, Conlon, TM, Cuoco, MS, Cuomo, ASE, Deprez, M, Duclos, G, Fine, D, Fischer, DS, Ghazanfar, S, Gillich, A, Giotti, B, Gould, J, Guo, M, Gutierrez, AJ, Habermann, AC, Harvey, T, He, P, Hou, X, Hu, L, Hu, Y, Jaiswal, A, Ji, L, Jiang, P, Kapellos, TS, Kuo, CS, Larsson, L, Leney-Greene, MA, Lim, K, Litviňuková, M, Ludwig, LS, Lukassen, S, Luo, W, Maatz, H, Madissoon, E, Mamanova, L, Manakongtreecheep, K, Leroy, S, Mayr, CH, Mbano, IM, McAdams, AM, Nabhan, AN, Nyquist, SK, Penland, L, Poirion, OB, Poli, S, Qi, C, Queen, R, Reichart, D, Rosas, I, Schupp, JC, Shea, CV, Shi, X, Sinha, R, Sit, RV, Slowikowski, K, Slyper, M, Smith, NP, Sountoulidis, A, Strunz, M, Sullivan, TB, Sun, D, Talavera-López, C, Tan, P, Tantivit, J, Travaglini, KJ, Tucker, NR, Vernon, KA, Wadsworth, MH, Waldman, J, Wang, X, Xu, K, Yan, W, Zhao, W, Ziegler, CGK, NHLBI LungMap Consortium, and Human Cell Atlas Lung Biological Network
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Adult ,Male ,Cathepsin L ,Immunology ,Respiratory System ,Datasets as Topic ,Humans ,Lung ,11 Medical and Health Sciences ,Aged ,Demography ,Aged, 80 and over ,SARS-CoV-2 ,Sequence Analysis, RNA ,Gene Expression Profiling ,Serine Endopeptidases ,COVID-19 ,respiratory system ,Middle Aged ,Virus Internalization ,Organ Specificity ,Alveolar Epithelial Cells ,Host-Pathogen Interactions ,Female ,Angiotensin-Converting Enzyme 2 ,Single-Cell Analysis - Abstract
Angiotensin-converting enzyme 2 (ACE2) and accessory proteases (TMPRSS2 and CTSL) are needed for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cellular entry, and their expression may shed light on viral tropism and impact across the body. We assessed the cell-type-specific expression of ACE2, TMPRSS2 and CTSL across 107 single-cell RNA-sequencing studies from different tissues. ACE2, TMPRSS2 and CTSL are coexpressed in specific subsets of respiratory epithelial cells in the nasal passages, airways and alveoli, and in cells from other organs associated with coronavirus disease 2019 (COVID-19) transmission or pathology. We performed a meta-analysis of 31 lung single-cell RNA-sequencing studies with 1,320,896 cells from 377 nasal, airway and lung parenchyma samples from 228 individuals. This revealed cell-type-specific associations of age, sex and smoking with expression levels of ACE2, TMPRSS2 and CTSL. Expression of entry factors increased with age and in males, including in airway secretory cells and alveolar type 2 cells. Expression programs shared by ACE2+TMPRSS2+ cells in nasal, lung and gut tissues included genes that may mediate viral entry, key immune functions and epithelial-macrophage cross-talk, such as genes involved in the interleukin-6, interleukin-1, tumor necrosis factor and complement pathways. Cell-type-specific expression patterns may contribute to the pathogenesis of COVID-19, and our work highlights putative molecular pathways for therapeutic intervention.
- Published
- 2020
7. SARS-CoV-2 Entry Factors are Highly Expressed in Nasal Epithelial Cells Together with Innate Immune Genes
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Sungnak, W., Huang, N., Becavin, C., Berg, M., Queen, R., Litvinukova, M., Talavera-Lopez, C., Maatz, H., Reichart, D., Sampaziotis, F., Worlock, K. B., Yoshida, M., Barnes, J. L., Banovich, N. E., Barbry, P., Brazma, A., Collin, J., Desai, T. J., Duong, T. E., Eickelberg, O., Falk, C., Farzan, M., Glass, I., Gupta, R. K., Haniffa, M., Horvath, P., Hubner, N., Hung, D., Kaminski, N., Krasnow, M., Kropski, J. A., Kuhnemund, M., Lako, M., Lee, H., Leroy, S., Linnarson, S., Lundeberg, J., Meyer, K. B., Miao, Z., Misharin, A. V., Nawijn, M. C., Nikolic, M. Z., Noseda, M., Ordovas-Montanes, J., Oudit, G. Y., Pe'Er, D., Powell, J., Quake, S., Rajagopal, J., Tata, P. R., Rawlins, E. L., Regev, A., Reyfman, P. A., Rozenblatt-Rosen, O., Saeb-Parsy, K., Samakovlis, C., Schiller, H. B., Schultze, J. L., Seibold, M. A., Seidman, C. E., Seidman, J. G., Shalek, A. K., Shepherd, D., Spence, J., Spira, A., Sun, X., Teichmann, S. A., Theis, F. J., Tsankov, A. M., Vallier, L., van den Berge, M., Whitsett, J., Xavier, R., Xu, Y., Zaragosi, L. -E., Zerti, D., Zhang, H., Zhang, K., Rojas, M., Figueiredo, F., Sungnak, Waradon [0000-0002-0136-4960], Bécavin, Christophe [0000-0003-1555-3153], Sampaziotis, Fotios [0000-0003-0812-7586], Yoshida, Masahiro [0000-0002-3521-5322], Apollo - University of Cambridge Repository, Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA), Institut de pharmacologie moléculaire et cellulaire (IPMC), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA), Groningen Research Institute for Asthma and COPD (GRIAC), and Institute for Molecular Medicine Finland
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PNEUMONIA ,0301 basic medicine ,TRANSMISSION ,viruses ,[SDV]Life Sciences [q-bio] ,Priming (immunology) ,PROTEIN ,CORONAVIRUS ,Biology ,medicine.disease_cause ,TMPRSS2 ,CHINA ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,HCA Lung Biological Network ,FUNCTIONAL RECEPTOR ,Viral entry ,medicine ,Receptor ,Gene ,ComputingMilieux_MISCELLANEOUS ,Coronavirus ,General Medicine ,3. Good health ,WUHAN ,030104 developmental biology ,030220 oncology & carcinogenesis ,Immunology ,Tissue tropism ,3111 Biomedicine - Abstract
The SARS-CoV-2 coronavirus, the etiologic agent responsible for COVID-19 coronavirus disease, is a global threat. To better understand viral tropism, we assessed the RNA expression of the coronavirus receptor, ACE2, as well as the viral S protein priming protease TMPRSS2 thought to govern viral entry in single-cell RNA-sequencing (scRNA-seq) datasets from healthy individuals generated by the Human Cell Atlas consortium. We found that ACE2, as well as the protease TMPRSS2, are differentially expressed in respiratory and gut epithelial cells. In-depth analysis of epithelial cells in the respiratory tree reveals that nasal epithelial cells, specifically goblet/secretory cells and ciliated cells, display the highest ACE2 expression of all the epithelial cells analyzed. The skewed expression of viral receptors/entry-associated proteins towards the upper airway may be correlated with enhanced transmissivity. Finally, we showed that many of the top genes associated with ACE2 airway epithelial expression are innate immune-associated, antiviral genes, highly enriched in the nasal epithelial cells. This association with immune pathways might have clinical implications for the course of infection and viral pathology, and highlights the specific significance of nasal epithelia in viral infection. Our findings underscore the importance of the availability of the Human Cell Atlas as a reference dataset. In this instance, analysis of the compendium of data points to a particularly relevant role for nasal goblet and ciliated cells as early viral targets and potential reservoirs of SARS-CoV-2 infection. This, in turn, serves as a biological framework for dissecting viral transmission and developing clinical strategies for prevention and therapy.
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- 2020
8. LifeTime and improving European healthcare through cell-based interceptive medicine
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Rajewsky, N. (Nikolaus), Almouzni, G. (Geneviève), Gorski, S.A. (Stanislaw A.), Aerts, S. (Stein), Amit, I. (Ido), Bertero, M.G. (Michela G.), Bock, C. (Christoph), Bredenoord, A.L. (Annelien L.), Cavalli, G. (Giacomo), Chiocca, S. (Susanna), Clevers, H.C. (Hans), Strooper, B. (Bart) de, Eggert, A. (Angelika), Ellenberg, J. (Jan), Fernández, X.M. (Xosé M.), Figlerowicz, M. (Marek), Gasser, S.M. (Susan M.), Hübner, N. (Norbert), Kjems, J. (Jørgen), Knoblich, J.A. (Jürgen A.), Krabbe, G. (Grietje), Lichter, P. (Peter), Linnarsson, S. (Sten), Marine, J.-C. (J.), Marioni, J. (John), Marti-Renom, M.A. (Marc A.), Netea, M.G. (Mihai), Nickel, D. (Dörthe), Nollmann, M. (Marcelo), Novak, H.R. (Halina R.), Parkinson, H. (Helen), Piccolo, S. (Stefano), Pinheiro, I. (Inês), Pombo, A. (Ana), Popp, C. (Christian), Reik, W. (Wolf), Roman-Roman, S. (Sergio), Rosenstiel, P. (Philip), Schultze, J.L. (Joachim), Stegle, O. (Oliver), Tanay, A. (Amos), Testa, G. (Giuseppe), Thanos, D. (Dimitris), Theis, F. (Fabian), Torres-Padilla, M.-E. (Maria-Elena), Valencia, A. (Alfonso), Vallot, C. (Céline), van Oudenaarden, A. (Alexander), Vidal, M. (Marie), Voet, T. (Thierry), Alberi, L. (Lavinia), Alexander, S. (Stephanie), Alexandrov, T. (Theodore), Arenas, E. (Ernest), Bagni, C. (Claudia), Balderas, R. (Robert), Bandelli, A. (Andrea), Becher, B. (Burkhard), Becker, M. (Matthias), Beerenwinkel, N. (Niko), Benkirame, M. (Monsef), Beyer, M. (Marc), Bickmore, W. (Wendy), Biessen, E.E.A.L. (Erik E.A.L.), Blomberg, N. (Niklas), Blumcke, I. (Ingmar), Bodenmiller, B. (Bernd), Borroni, B. (Barbara), Boumpas, D.T. (Dimitrios T.), Bourgeron, T. (Thomas), Bowers, S. (Sarion), Braeken, D. (Dries), Brooksbank, C. (Catherine), Brose, N. (Nils), Bruining, J. (Hans), Bury, J. (Jo), Caporale, N. (Nicolo), Cattoretti, G. (Giorgio), Chabane, N. (Nadia), Chneiweiss, H. (Hervé), Cook, S.A. (Stuart A.), Curatolo, P. (Paolo), Jonge, M.I. (Marien) de, Deplancke, B. (Bart), De Strooper, B. (Bart), de Witte, P. (Peter), Dimmeler, S. (Stefanie), Draganski, B. (Bogdan), Drews, A.-D. (Anna-Dorothee), Dumbrava, C. (Costica), Engelhardt, S. (Stefan), Gasser, T. (Thomas), Giamarellos-Bourboulis, E. (Evangelos), Graff, C. (Caroline), Grün, D. (Dominic), Gut, I. (Ivo), Hansson, O. (Oskar), Henshall, D.C. (David C.), Herland, A. (Anna), Heutink, P. (Peter), Heymans, S. (Stephane), Heyn, H. (Holger), Huch, M. (Meritxell), Huitinga, I. (Inge), Jackowiak, P. (Paulina), Jongsma, K.R. (Karin), Journot, L. (Laurent), Junker, J.P. (Jan Philipp), Katz, S. (Shauna), Kehren, J. (Jeanne), Kempa, S. (Stefan), Kirchhof, P. (Paulus), Klein, C. (Christoph), Koralewska, N. (Natalia), Korbel, J.O. (Jan), Kühnemund, M. (Malte), Lamond, A.I. (Angus I.), Lauwers, E. (Elsa), Le Ber, I. (Isabelle), Leinonen, V. (Ville), Tobon, A.L. (Alejandro Lopez), Lundberg, E. (Emma), Lunkes, A. (Astrid), Maatz, H. (Henrike), Mann, M. (Mathias), Marelli, L. (Luca), Matser, V. (Vera), Matthews, P.M. (P.), Mechta-Grigoriou, F. (Fatima), Menon, R. (Radhika), Nielsen, A.F. (Anne F.), Pagani, M. (Massimiliano), Pasterkamp, R.J. (Jeroen), Pitkanen, A. (Asla), Popescu, V. (Valentin), Pottier, C. (Cyril), Puisieux, A. (Alain), Rademakers, R. (Rosa), Reiling, D. (Dory), Reiner, O. (Orly), Remondini, D. (Daniel), Ritchie, C. (Craig), Rohrer, J.D. (Jonathan D.), Saliba, A.-E. (Antione-Emmanuel), Sánchez-Valle, R. (Raquel), Santosuosso, A. (Amedeo), Sauter, A. (Arnold), Scheltema, R.A. (Richard A.), Scheltens, P. (Philip), Schiller, H.B. (Herbert B.), Schneider, A. (Anja), Seibler, P. (Philip), Sheehan-Rooney, K. (Kelly), Shields, D. (David), Sleegers, K. (Kristel), Smit, G. (Guus), Smith, K.G.C. (Kenneth G. C.), Smolders, I. (Ilse), Synofzik, M. (Matthis), Tam, W.L. (Wai Long), Teichmann, S. (Sarah), Thom, M. (Maria), Turco, M.Y. (Margherita Y.), Beusekom, H.M.M. (Heleen) van, Vandenberghe, R. (Rik), den Hoecke, S.V. (Silvie Van), Van de Poel, E. (Ellen), der Ven, A. (Andre van), van der Zee, J. (Julie), van Lunzen, J. (Jan), van Minnebruggen, G. (Geert), Van Paesschen, W. (Wim), Swieten, J.C. (John) van, van Vught, R. (Remko), Verhage, M. (Matthijs), Verstreken, P. (Patrik), Villa, C.E. (Carlo Emanuele), Vogel, J. (Jörg), Kalle, C. (Christof) von, Walter, J. (Jörn), Weckhuysen, S. (Sarah), Weichert, W. (Wilko), Wood, L. (Louisa), Ziegler, A.-G. (Anette-Gabriele), Zipp, F. (Frauke), Rajewsky, N. (Nikolaus), Almouzni, G. (Geneviève), Gorski, S.A. (Stanislaw A.), Aerts, S. (Stein), Amit, I. (Ido), Bertero, M.G. (Michela G.), Bock, C. (Christoph), Bredenoord, A.L. (Annelien L.), Cavalli, G. (Giacomo), Chiocca, S. (Susanna), Clevers, H.C. (Hans), Strooper, B. (Bart) de, Eggert, A. (Angelika), Ellenberg, J. (Jan), Fernández, X.M. (Xosé M.), Figlerowicz, M. (Marek), Gasser, S.M. (Susan M.), Hübner, N. (Norbert), Kjems, J. (Jørgen), Knoblich, J.A. (Jürgen A.), Krabbe, G. (Grietje), Lichter, P. (Peter), Linnarsson, S. (Sten), Marine, J.-C. (J.), Marioni, J. (John), Marti-Renom, M.A. (Marc A.), Netea, M.G. (Mihai), Nickel, D. (Dörthe), Nollmann, M. (Marcelo), Novak, H.R. (Halina R.), Parkinson, H. (Helen), Piccolo, S. (Stefano), Pinheiro, I. (Inês), Pombo, A. (Ana), Popp, C. (Christian), Reik, W. (Wolf), Roman-Roman, S. (Sergio), Rosenstiel, P. (Philip), Schultze, J.L. (Joachim), Stegle, O. (Oliver), Tanay, A. (Amos), Testa, G. (Giuseppe), Thanos, D. (Dimitris), Theis, F. (Fabian), Torres-Padilla, M.-E. (Maria-Elena), Valencia, A. (Alfonso), Vallot, C. (Céline), van Oudenaarden, A. (Alexander), Vidal, M. (Marie), Voet, T. (Thierry), Alberi, L. (Lavinia), Alexander, S. (Stephanie), Alexandrov, T. (Theodore), Arenas, E. (Ernest), Bagni, C. (Claudia), Balderas, R. (Robert), Bandelli, A. (Andrea), Becher, B. (Burkhard), Becker, M. (Matthias), Beerenwinkel, N. (Niko), Benkirame, M. (Monsef), Beyer, M. (Marc), Bickmore, W. (Wendy), Biessen, E.E.A.L. (Erik E.A.L.), Blomberg, N. (Niklas), Blumcke, I. (Ingmar), Bodenmiller, B. (Bernd), Borroni, B. (Barbara), Boumpas, D.T. (Dimitrios T.), Bourgeron, T. (Thomas), Bowers, S. (Sarion), Braeken, D. (Dries), Brooksbank, C. (Catherine), Brose, N. (Nils), Bruining, J. (Hans), Bury, J. (Jo), Caporale, N. (Nicolo), Cattoretti, G. (Giorgio), Chabane, N. (Nadia), Chneiweiss, H. (Hervé), Cook, S.A. (Stuart A.), Curatolo, P. (Paolo), Jonge, M.I. (Marien) de, Deplancke, B. (Bart), De Strooper, B. (Bart), de Witte, P. (Peter), Dimmeler, S. (Stefanie), Draganski, B. (Bogdan), Drews, A.-D. (Anna-Dorothee), Dumbrava, C. (Costica), Engelhardt, S. (Stefan), Gasser, T. (Thomas), Giamarellos-Bourboulis, E. (Evangelos), Graff, C. (Caroline), Grün, D. (Dominic), Gut, I. (Ivo), Hansson, O. (Oskar), Henshall, D.C. (David C.), Herland, A. (Anna), Heutink, P. (Peter), Heymans, S. (Stephane), Heyn, H. (Holger), Huch, M. (Meritxell), Huitinga, I. (Inge), Jackowiak, P. (Paulina), Jongsma, K.R. (Karin), Journot, L. (Laurent), Junker, J.P. (Jan Philipp), Katz, S. (Shauna), Kehren, J. (Jeanne), Kempa, S. (Stefan), Kirchhof, P. (Paulus), Klein, C. (Christoph), Koralewska, N. (Natalia), Korbel, J.O. (Jan), Kühnemund, M. (Malte), Lamond, A.I. (Angus I.), Lauwers, E. (Elsa), Le Ber, I. (Isabelle), Leinonen, V. (Ville), Tobon, A.L. (Alejandro Lopez), Lundberg, E. (Emma), Lunkes, A. (Astrid), Maatz, H. (Henrike), Mann, M. (Mathias), Marelli, L. (Luca), Matser, V. (Vera), Matthews, P.M. (P.), Mechta-Grigoriou, F. (Fatima), Menon, R. (Radhika), Nielsen, A.F. (Anne F.), Pagani, M. (Massimiliano), Pasterkamp, R.J. (Jeroen), Pitkanen, A. (Asla), Popescu, V. (Valentin), Pottier, C. (Cyril), Puisieux, A. (Alain), Rademakers, R. (Rosa), Reiling, D. (Dory), Reiner, O. (Orly), Remondini, D. (Daniel), Ritchie, C. (Craig), Rohrer, J.D. (Jonathan D.), Saliba, A.-E. (Antione-Emmanuel), Sánchez-Valle, R. (Raquel), Santosuosso, A. (Amedeo), Sauter, A. (Arnold), Scheltema, R.A. (Richard A.), Scheltens, P. (Philip), Schiller, H.B. (Herbert B.), Schneider, A. (Anja), Seibler, P. (Philip), Sheehan-Rooney, K. (Kelly), Shields, D. (David), Sleegers, K. (Kristel), Smit, G. (Guus), Smith, K.G.C. (Kenneth G. C.), Smolders, I. (Ilse), Synofzik, M. (Matthis), Tam, W.L. (Wai Long), Teichmann, S. (Sarah), Thom, M. (Maria), Turco, M.Y. (Margherita Y.), Beusekom, H.M.M. (Heleen) van, Vandenberghe, R. (Rik), den Hoecke, S.V. (Silvie Van), Van de Poel, E. (Ellen), der Ven, A. (Andre van), van der Zee, J. (Julie), van Lunzen, J. (Jan), van Minnebruggen, G. (Geert), Van Paesschen, W. (Wim), Swieten, J.C. (John) van, van Vught, R. (Remko), Verhage, M. (Matthijs), Verstreken, P. (Patrik), Villa, C.E. (Carlo Emanuele), Vogel, J. (Jörg), Kalle, C. (Christof) von, Walter, J. (Jörn), Weckhuysen, S. (Sarah), Weichert, W. (Wilko), Wood, L. (Louisa), Ziegler, A.-G. (Anette-Gabriele), and Zipp, F. (Frauke)
- Abstract
LifeTime aims to track, understand and target human cells during the onset and progression of complex diseases and their response to therapy at single-cell resolution. This mission will be implemented through the development and integration of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during progression from health to disease. Analysis of such large molecular and clinical datasets will discover molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. Timely detection and interception of disease embedded in an ethical and patient-centered vision will be achieved through interactions across academia, hospitals, patient-associations, health data management systems and industry. Applying this strategy to key medical challenges in cancer, neurological, infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade.
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- 2020
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9. Genetic regulation of catecholamine synthesis, storage and secretion in the spontaneously hypertensive rat
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Jirout, M.L., Friese, R.S., Mahapatra, N.R., Mahata, M., Taupenot, L., Mahata, S.K., Křen, V., Zídek, V., Fischer, J., Maatz, H., Ziegler, M.G., Pravenec, M., Hubner, N., Aitman, T.J., Schork, N.J., and OʼConnor, D.T.
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- 2010
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10. RNA-binding protein RBM20 represses splicing to orchestrate cardiac pre-mRNA processing.
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Maatz, H., Jens, M., Liss, M., Schafer, S., Heinig, M., Kirchner, M., Adami, E., Rintisch, C., Dauksaite, V., Radke, M.H., Selbach, M., Barton, P.J., Cook, S.A., Rajewsky, N., Gotthardt, M., Landthaler, M., Hubner, N., Maatz, H., Jens, M., Liss, M., Schafer, S., Heinig, M., Kirchner, M., Adami, E., Rintisch, C., Dauksaite, V., Radke, M.H., Selbach, M., Barton, P.J., Cook, S.A., Rajewsky, N., Gotthardt, M., Landthaler, M., and Hubner, N.
- Abstract
1 augustus 2014, Contains fulltext : 139221.pdf (publisher's version ) (Open Access), Mutations in the gene encoding the RNA-binding protein RBM20 have been implicated in dilated cardiomyopathy (DCM), a major cause of chronic heart failure, presumably through altering cardiac RNA splicing. Here, we combined transcriptome-wide crosslinking immunoprecipitation (CLIP-seq), RNA-seq, and quantitative proteomics in cell culture and rat and human hearts to examine how RBM20 regulates alternative splicing in the heart. Our analyses revealed the presence of a distinct RBM20 RNA-recognition element that is predominantly found within intronic binding sites and linked to repression of exon splicing with RBM20 binding near 3' and 5' splice sites. Proteomic analysis determined that RBM20 interacts with both U1 and U2 small nuclear ribonucleic particles (snRNPs) and suggested that RBM20-dependent splicing repression occurs through spliceosome stalling at complex A. Direct RBM20 targets included several genes previously shown to be involved in DCM as well as genes not typically associated with this disease. In failing human hearts, reduced expression of RBM20 affected alternative splicing of several direct targets, indicating that differences in RBM20 expression may affect cardiac function. Together, these findings identify RBM20-regulated targets and provide insight into the pathogenesis of human heart failure.
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- 2014
11. Interleukin 11 therapy causes acute left ventricular dysfunction.
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Sweeney M, O'Fee K, Villanueva-Hayes C, Rahman E, Lee M, Tam CN, Pascual-Navarro E, Maatz H, Lindberg EL, Vanezis K, Ramachandra CJ, Andrew I, Jennings ER, Lim WW, Widjaja AA, Carling D, Hausenloy DJ, Hubner N, Barton PJR, and Cook SA
- Abstract
Aims: Interleukin 11 (IL11) was initially thought important for platelet production, which led to recombinant IL11 being developed as a drug to treat thrombocytopenia. IL11 was later found to be redundant for haematopoiesis and its use in patients is associated with unexplained and severe cardiac side effects. Here we aim to identify, for the first time, direct cardiomyocyte toxicities associated with IL11, which was previously believed cardioprotective., Methods and Results: We injected recombinant mouse lL11 (rmIL11) into mice and studied its molecular effects in the heart using immunoblotting, qRT-PCR, bulk RNA-seq, single nuclei RNA-seq (snRNA-seq) and ATAC-seq. The physiological impact of IL11 was assessed by echocardiography in vivo and using cardiomyocyte contractility assays in vitro. To determine the activity of IL11 specifically in cardiomyocytes we made two cardiomyocyte-specific Il11ra1 knockout (CMKO) mouse models using either AAV9-mediated and Tnnt2-restricted (vCMKO) or Myh6 (m6CMKO) Cre expression and an Il11ra1 floxed mouse strain. In pharmacologic studies, we studied the effects of JAK/STAT inhibition on rmIL11-induced cardiac toxicities. Injection of rmIL11 caused acute and dose-dependent impairment of left ventricular ejection fraction (saline: 62.4% ± 1.9; rmIL11: 32.6% ± 2.9, p<0.001, n=5). Following rmIL11 injection, myocardial STAT3 and JNK phosphorylation were increased and bulk RNA-seq revealed upregulation of pro-inflammatory pathways (TNFα, NFκB and JAK/STAT) and perturbed calcium handling. snRNA-seq showed rmIL11-induced expression of stress factors (Ankrd1, Ankrd23, Xirp2), activator protein-1 (AP-1) transcription factor genes and Nppb in the cardiomyocyte compartment. Following rmIL11 injection, ATAC-seq identified the Ankrd1 and Nppb genes and loci enriched for stress-responsive, AP-1 transcription factor binding sites. Cardiomyocyte-specific effects were examined in vCMKO and m6CMKO mice, which were both protected from rmIL11-induced left ventricular impairment and molecular pathobiologies. In mechanistic studies, inhibition of JAK/STAT signalling with either ruxolitinib or tofacitinib prevented rmIL11-induced cardiac dysfunction., Conclusions: Injection of IL11 directly activates IL11RA/JAK/STAT3 in cardiomyocytes to cause acute heart failure. Our data overturn the earlier assumption that IL11 is cardioprotective and explain the serious cardiac side effects associated with IL11 therapy., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)
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- 2024
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12. Amplification of autoimmune organ damage by NKp46-activated ILC1s.
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Biniaris-Georgallis SI, Aschman T, Stergioula K, Schreiber F, Jafari V, Taranko A, Karmalkar T, Kasapi A, Lenac Rovis T, Jelencic V, Bejarano DA, Fabry L, Papacharalampous M, Mattiola I, Molgora M, Hou J, Hublitz KW, Heinrich F, Guerra GM, Durek P, Patone G, Lindberg EL, Maatz H, Hölsken O, Krönke G, Mortha A, Voll RE, Clarke AJ, Hauser AE, Colonna M, Thurley K, Schlitzer A, Schneider C, Stamatiades EG, Mashreghi MF, Jonjic S, Hübner N, Diefenbach A, Kanda M, and Triantafyllopoulou A
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- Animals, Mice, Humans, Female, Epithelial Cells metabolism, Epithelial Cells immunology, Epithelial Cells pathology, Male, Lymphocytes immunology, Lymphocytes metabolism, Kidney pathology, Kidney immunology, Kidney metabolism, Antigens, Ly metabolism, Autoantibodies immunology, Autoimmunity, Single-Cell Analysis, Signal Transduction, Granulocyte-Macrophage Colony-Stimulating Factor metabolism, Mice, Inbred C57BL, Natural Cytotoxicity Triggering Receptor 1 metabolism, Lupus Nephritis immunology, Lupus Nephritis pathology, Lupus Nephritis metabolism, Macrophages immunology, Macrophages metabolism, Immunity, Innate
- Abstract
In systemic lupus erythematosus, loss of immune tolerance, autoantibody production and immune complex deposition are required but not sufficient for organ damage
1 . How inflammatory signals are initiated and amplified in the setting of autoimmunity remains elusive. Here we set out to dissect layers and hierarchies of autoimmune kidney inflammation to identify tissue-specific cellular hubs that amplify autoinflammatory responses. Using high-resolution single-cell profiling of kidney immune and parenchymal cells, in combination with antibody blockade and genetic deficiency, we show that tissue-resident NKp46+ innate lymphoid cells (ILCs) are crucial signal amplifiers of disease-associated macrophage expansion and epithelial cell injury in lupus nephritis, downstream of autoantibody production. NKp46 signalling in a distinct subset of group 1 ILCs (ILC1s) instructed an unconventional immune-regulatory transcriptional program, which included the expression of the myeloid cell growth factor CSF2. CSF2 production by NKp46+ ILCs promoted the population expansion of monocyte-derived macrophages. Blockade of the NKp46 receptor (using the antibody clone mNCR1.15; ref.2 ) or genetic deficiency of NKp46 abrogated epithelial cell injury. The same cellular and molecular patterns were operative in human lupus nephritis. Our data provide support for the idea that NKp46+ ILC1s promote parenchymal cell injury by granting monocyte-derived macrophages access to epithelial cell niches. NKp46 activation in ILC1s therefore constitutes a previously unrecognized, crucial tissue rheostat that amplifies organ damage in autoimmune hosts, with broad implications for inflammatory pathologies and therapies., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)- Published
- 2024
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13. The challenges of research data management in cardiovascular science: a DGK and DZHK position paper-executive summary.
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Steffens S, Schröder K, Krüger M, Maack C, Streckfuss-Bömeke K, Backs J, Backofen R, Baeßler B, Devaux Y, Gilsbach R, Heijman J, Knaus J, Kramann R, Linz D, Lister AL, Maatz H, Maegdefessel L, Mayr M, Meder B, Nussbeck SY, Rog-Zielinska EA, Schulz MH, Sickmann A, Yigit G, and Kohl P
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- Humans, Data Management, Reproducibility of Results, Heart, Cardiovascular System, Biomedical Research
- Abstract
The sharing and documentation of cardiovascular research data are essential for efficient use and reuse of data, thereby aiding scientific transparency, accelerating the progress of cardiovascular research and healthcare, and contributing to the reproducibility of research results. However, challenges remain. This position paper, written on behalf of and approved by the German Cardiac Society and German Centre for Cardiovascular Research, summarizes our current understanding of the challenges in cardiovascular research data management (RDM). These challenges include lack of time, awareness, incentives, and funding for implementing effective RDM; lack of standardization in RDM processes; a need to better identify meaningful and actionable data among the increasing volume and complexity of data being acquired; and a lack of understanding of the legal aspects of data sharing. While several tools exist to increase the degree to which data are findable, accessible, interoperable, and reusable (FAIR), more work is needed to lower the threshold for effective RDM not just in cardiovascular research but in all biomedical research, with data sharing and reuse being factored in at every stage of the scientific process. A culture of open science with FAIR research data should be fostered through education and training of early-career and established research professionals. Ultimately, FAIR RDM requires permanent, long-term effort at all levels. If outcomes can be shown to be superior and to promote better (and better value) science, modern RDM will make a positive difference to cardiovascular science and practice. The full position paper is available in the supplementary materials., (© 2023. The Author(s).)
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- 2024
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14. Human model of primary carnitine deficiency cardiomyopathy reveals ferroptosis as a novel mechanism.
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Loos M, Klampe B, Schulze T, Yin X, Theofilatos K, Ulmer BM, Schulz C, Behrens CS, van Bergen TD, Adami E, Maatz H, Schweizer M, Brodesser S, Skryabin BV, Rozhdestvensky TS, Bodbin S, Stathopoulou K, Christ T, Denning C, Hübner N, Mayr M, Cuello F, Eschenhagen T, and Hansen A
- Subjects
- Animals, Humans, Organic Cation Transport Proteins genetics, Solute Carrier Family 22 Member 5 genetics, Lipids, Ferroptosis, Induced Pluripotent Stem Cells, Cardiomyopathies genetics
- Abstract
Primary carnitine deficiency (PCD) is an autosomal recessive monogenic disorder caused by mutations in SLC22A5. This gene encodes for OCTN2, which transports the essential metabolite carnitine into the cell. PCD patients suffer from muscular weakness and dilated cardiomyopathy. Two OCTN2-defective human induced pluripotent stem cell lines were generated, carrying a full OCTN2 knockout and a homozygous OCTN2 (N32S) loss-of-function mutation. OCTN2-defective genotypes showed lower force development and resting length in engineered heart tissue format compared with isogenic control. Force was sensitive to fatty acid-based media and associated with lipid accumulation, mitochondrial alteration, higher glucose uptake, and metabolic remodeling, replicating findings in animal models. The concordant results of OCTN2 (N32S) and -knockout emphasizes the relevance of OCTN2 for these findings. Importantly, genome-wide analysis and pharmacological inhibitor experiments identified ferroptosis, an iron- and lipid-dependent cell death pathway associated with fibroblast activation as a novel PCD cardiomyopathy disease mechanism., Competing Interests: Declaration of interests T.E. is a member of the DiNAQOR Scientific Advisory Board and holds shares in DiNAQOR., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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15. Single-cell transcriptomics for the assessment of cardiac disease.
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Miranda AMA, Janbandhu V, Maatz H, Kanemaru K, Cranley J, Teichmann SA, Hübner N, Schneider MD, Harvey RP, and Noseda M
- Subjects
- Humans, Transcriptome, Gene Expression Profiling, Heart, Cardiovascular Diseases diagnosis, Cardiovascular Diseases genetics, Heart Diseases diagnosis, Heart Diseases genetics, Heart Diseases therapy
- Abstract
Cardiovascular disease is the leading cause of death globally. An advanced understanding of cardiovascular disease mechanisms is required to improve therapeutic strategies and patient risk stratification. State-of-the-art, large-scale, single-cell and single-nucleus transcriptomics facilitate the exploration of the cardiac cellular landscape at an unprecedented level, beyond its descriptive features, and can further our understanding of the mechanisms of disease and guide functional studies. In this Review, we provide an overview of the technical challenges in the experimental design of single-cell and single-nucleus transcriptomics studies, as well as a discussion of the type of inferences that can be made from the data derived from these studies. Furthermore, we describe novel findings derived from transcriptomics studies for each major cardiac cell type in both health and disease, and from development to adulthood. This Review also provides a guide to interpreting the exhaustive list of newly identified cardiac cell types and states, and highlights the consensus and discordances in annotation, indicating an urgent need for standardization. We describe advanced applications such as integration of single-cell data with spatial transcriptomics to map genes and cells on tissue and define cellular microenvironments that regulate homeostasis and disease progression. Finally, we discuss current and future translational and clinical implications of novel transcriptomics approaches, and provide an outlook of how these technologies will change the way we diagnose and treat heart disease., (© 2022. Springer Nature Limited.)
- Published
- 2023
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16. AntiSplodge: a neural-network-based RNA-profile deconvolution pipeline designed for spatial transcriptomics.
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Lund JB, Lindberg EL, Maatz H, Pottbaecker F, Hübner N, and Lippert C
- Abstract
With the current surge of spatial transcriptomics (ST) studies, researchers are exploring the deep interactive cell-play directly in tissues, in situ. However, with the current technologies, measurements consist of mRNA transcript profiles of mixed origin. Recently, applications have been proposed to tackle the deconvolution process, to gain knowledge about which cell types (SC) are found within. This is usually done by incorporating metrics from single-cell (SC) RNA, from similar tissues. Yet, most existing tools are cumbersome, and we found them hard to integrate and properly utilize. Therefore, we present AntiSplodge , a simple feed-forward neural-network-based pipeline designed to effective deconvolute ST profiles by utilizing synthetic ST profiles derived from real-life SC datasets. AntiSplodge is designed to be easy, fast and intuitive while still being lightweight. To demonstrate AntiSplodge , we deconvolute the human heart and verify correctness across time points. We further deconvolute the mouse brain, where spot patterns correctly follow that of the underlying tissue. In particular, for the hippocampus from where the cells originate. Furthermore, AntiSplodge demonstrates top of the line performance when compared to current state-of-the-art tools. Software availability: https://github.com/HealthML/AntiSplodge/., (© The Author(s) 2022. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.)
- Published
- 2022
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17. SAMHD1 controls innate immunity by regulating condensation of immunogenic self RNA.
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Maharana S, Kretschmer S, Hunger S, Yan X, Kuster D, Traikov S, Zillinger T, Gentzel M, Elangovan S, Dasgupta P, Chappidi N, Lucas N, Maser KI, Maatz H, Rapp A, Marchand V, Chang YT, Motorin Y, Hubner N, Hartmann G, Hyman AA, Alberti S, and Lee-Kirsch MA
- Subjects
- Antiviral Agents, Autoimmune Diseases of the Nervous System, Exonucleases genetics, Humans, Immunity, Innate genetics, Nervous System Malformations, SAM Domain and HD Domain-Containing Protein 1 genetics, Interferon Type I genetics, RNA, Double-Stranded genetics
- Abstract
Recognition of pathogen-derived foreign nucleic acids is central to innate immune defense. This requires discrimination between structurally highly similar self and nonself nucleic acids to avoid aberrant inflammatory responses as in the autoinflammatory disorder Aicardi-Goutières syndrome (AGS). How vast amounts of self RNA are shielded from immune recognition to prevent autoinflammation is not fully understood. Here, we show that human SAM-domain- and HD-domain-containing protein 1 (SAMHD1), one of the AGS-causing genes, functions as a single-stranded RNA (ssRNA) 3'exonuclease, the lack of which causes cellular RNA accumulation. Increased ssRNA in cells leads to dissolution of RNA-protein condensates, which sequester immunogenic double-stranded RNA (dsRNA). Release of sequestered dsRNA from condensates triggers activation of antiviral type I interferon via retinoic-acid-inducible gene I-like receptors. Our results establish SAMHD1 as a key regulator of cellular RNA homeostasis and demonstrate that buffering of immunogenic self RNA by condensates regulates innate immune responses., Competing Interests: Declaration of interests A.A.H. is a founder of Dewpoint Therapeutics and Caraway Therapeutics and is an advisor to Dewpoint therapeutics. S.A. is an advisor to Dewpoint Therapeutics., (Copyright © 2022 Elsevier Inc. All rights reserved.)
- Published
- 2022
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18. Pathogenic variants damage cell composition and single cell transcription in cardiomyopathies.
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Reichart D, Lindberg EL, Maatz H, Miranda AMA, Viveiros A, Shvetsov N, Gärtner A, Nadelmann ER, Lee M, Kanemaru K, Ruiz-Orera J, Strohmenger V, DeLaughter DM, Patone G, Zhang H, Woehler A, Lippert C, Kim Y, Adami E, Gorham JM, Barnett SN, Brown K, Buchan RJ, Chowdhury RA, Constantinou C, Cranley J, Felkin LE, Fox H, Ghauri A, Gummert J, Kanda M, Li R, Mach L, McDonough B, Samari S, Shahriaran F, Yapp C, Stanasiuk C, Theotokis PI, Theis FJ, van den Bogaerdt A, Wakimoto H, Ware JS, Worth CL, Barton PJR, Lee YA, Teichmann SA, Milting H, Noseda M, Oudit GY, Heinig M, Seidman JG, Hubner N, and Seidman CE
- Subjects
- Atlases as Topic, Cell Nucleus genetics, Heart Ventricles, Humans, RNA-Seq, Arrhythmogenic Right Ventricular Dysplasia genetics, Cardiomyopathy, Dilated genetics, Heart Failure genetics, Single-Cell Analysis, Transcriptome
- Abstract
Pathogenic variants in genes that cause dilated cardiomyopathy (DCM) and arrhythmogenic cardiomyopathy (ACM) convey high risks for the development of heart failure through unknown mechanisms. Using single-nucleus RNA sequencing, we characterized the transcriptome of 880,000 nuclei from 18 control and 61 failing, nonischemic human hearts with pathogenic variants in DCM and ACM genes or idiopathic disease. We performed genotype-stratified analyses of the ventricular cell lineages and transcriptional states. The resultant DCM and ACM ventricular cell atlas demonstrated distinct right and left ventricular responses, highlighting genotype-associated pathways, intercellular interactions, and differential gene expression at single-cell resolution. Together, these data illuminate both shared and distinct cellular and molecular architectures of human heart failure and suggest candidate therapeutic targets.
- Published
- 2022
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19. Isolation of Nuclei from Mammalian Cells and Tissues for Single-Nucleus Molecular Profiling.
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Nadelmann ER, Gorham JM, Reichart D, Delaughter DM, Wakimoto H, Lindberg EL, Litviňukova M, Maatz H, Curran JJ, Ischiu Gutierrez D, Hübner N, Seidman CE, and Seidman JG
- Subjects
- Animals, Cell Separation, Disease Models, Animal, Humans, Sequence Analysis, RNA, Cell Nucleus, Solitary Nucleus
- Abstract
Both single-cell RNA sequencing (scRNAseq) and single-nucleus RNA sequencing (snRNAseq) can be used to characterize the transcriptional profile of individual cells, and based on these transcriptional profiles, help define cell type distribution in mixed cell populations. However, scRNAseq analyses are confounded if some of the cells are large (>50 µm) or if some of cells adhere more tightly to some adjacent cells than to others. Further, single cell isolation for scRNAseq requires fresh tissue, which may not be available for human or animal model tissues. Additionally, the current enzymatic and mechanical methods for single-cell dissociation can lead to stress-induced transcriptional artifacts. Nuclei for snRNAseq, on the other hand, can be isolated from any cell, regardless of size, and from either fresh or frozen tissues, and compared to whole cells, they are more resistant to mechanical pressures and appear not to exhibit as many cell isolation-based transcriptional artifacts. Here, we describe a time- and cost-effective procedure to isolate nuclei from mammalian cells and tissues. The protocol incorporates steps to mechanically disrupt samples to release nuclei. Compared to conventional nuclei isolation protocols, the approach described here increases overall efficiency, eliminates risk of contaminant exposure, and reduces volumes of expensive reagents. A series of RNA quality control checks are also incorporated to ensure success and reduce costs of subsequent snRNAseq experiments. Nuclei isolated by this procedure can be separated on the 10× Genomics Chromium system for either snRNAseq and/or Single-Nucleus ATAC-Seq (snATAC-Seq), and is also compatible with other single cell platforms. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Sample preparation and quality control check via RNA Isolation and Analysis Basic Protocol 2: Nuclei Isolation., (© 2021 Wiley Periodicals LLC.)
- Published
- 2021
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20. Myocarditis and inflammatory cardiomyopathy: current evidence and future directions.
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Tschöpe C, Ammirati E, Bozkurt B, Caforio ALP, Cooper LT, Felix SB, Hare JM, Heidecker B, Heymans S, Hübner N, Kelle S, Klingel K, Maatz H, Parwani AS, Spillmann F, Starling RC, Tsutsui H, Seferovic P, and Van Linthout S
- Subjects
- Animals, Antiviral Agents therapeutic use, Autoimmunity immunology, Biopsy, COVID-19 physiopathology, COVID-19 therapy, Cardiomyopathies diagnosis, Cardiomyopathies immunology, Cardiomyopathies therapy, Cardiomyopathy, Dilated, Coronavirus Infections immunology, Coronavirus Infections physiopathology, Coronavirus Infections therapy, Coxsackievirus Infections immunology, Coxsackievirus Infections physiopathology, Coxsackievirus Infections therapy, Cytomegalovirus Infections immunology, Cytomegalovirus Infections physiopathology, Cytomegalovirus Infections therapy, Disease Models, Animal, Echovirus Infections immunology, Echovirus Infections physiopathology, Echovirus Infections therapy, Epstein-Barr Virus Infections immunology, Epstein-Barr Virus Infections physiopathology, Epstein-Barr Virus Infections therapy, Erythema Infectiosum immunology, Erythema Infectiosum physiopathology, Erythema Infectiosum therapy, HIV Infections physiopathology, Hepatitis C immunology, Hepatitis C physiopathology, Hepatitis C therapy, Humans, Immunoglobulins, Intravenous therapeutic use, Immunologic Factors therapeutic use, Inflammation diagnosis, Inflammation immunology, Inflammation therapy, Influenza, Human immunology, Influenza, Human physiopathology, Influenza, Human therapy, Leukocytes immunology, Myocarditis diagnosis, Myocarditis immunology, Myocarditis therapy, Myocardium pathology, Prognosis, Roseolovirus Infections immunology, Roseolovirus Infections physiopathology, Roseolovirus Infections therapy, SARS-CoV-2, Severe Acute Respiratory Syndrome immunology, Severe Acute Respiratory Syndrome physiopathology, Severe Acute Respiratory Syndrome therapy, Translational Research, Biomedical, Ventricular Remodeling, Viral Tropism, Virus Diseases immunology, Virus Diseases therapy, Cardiomyopathies physiopathology, Inflammation physiopathology, Myocarditis physiopathology, Virus Diseases physiopathology
- Abstract
Inflammatory cardiomyopathy, characterized by inflammatory cell infiltration into the myocardium and a high risk of deteriorating cardiac function, has a heterogeneous aetiology. Inflammatory cardiomyopathy is predominantly mediated by viral infection, but can also be induced by bacterial, protozoal or fungal infections as well as a wide variety of toxic substances and drugs and systemic immune-mediated diseases. Despite extensive research, inflammatory cardiomyopathy complicated by left ventricular dysfunction, heart failure or arrhythmia is associated with a poor prognosis. At present, the reason why some patients recover without residual myocardial injury whereas others develop dilated cardiomyopathy is unclear. The relative roles of the pathogen, host genomics and environmental factors in disease progression and healing are still under discussion, including which viruses are active inducers and which are only bystanders. As a consequence, treatment strategies are not well established. In this Review, we summarize and evaluate the available evidence on the pathogenesis, diagnosis and treatment of myocarditis and inflammatory cardiomyopathy, with a special focus on virus-induced and virus-associated myocarditis. Furthermore, we identify knowledge gaps, appraise the available experimental models and propose future directions for the field. The current knowledge and open questions regarding the cardiovascular effects associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are also discussed. This Review is the result of scientific cooperation of members of the Heart Failure Association of the ESC, the Heart Failure Society of America and the Japanese Heart Failure Society.
- Published
- 2021
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21. Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics.
- Author
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Muus C, Luecken MD, Eraslan G, Sikkema L, Waghray A, Heimberg G, Kobayashi Y, Vaishnav ED, Subramanian A, Smillie C, Jagadeesh KA, Duong ET, Fiskin E, Torlai Triglia E, Ansari M, Cai P, Lin B, Buchanan J, Chen S, Shu J, Haber AL, Chung H, Montoro DT, Adams T, Aliee H, Allon SJ, Andrusivova Z, Angelidis I, Ashenberg O, Bassler K, Bécavin C, Benhar I, Bergenstråhle J, Bergenstråhle L, Bolt L, Braun E, Bui LT, Callori S, Chaffin M, Chichelnitskiy E, Chiou J, Conlon TM, Cuoco MS, Cuomo ASE, Deprez M, Duclos G, Fine D, Fischer DS, Ghazanfar S, Gillich A, Giotti B, Gould J, Guo M, Gutierrez AJ, Habermann AC, Harvey T, He P, Hou X, Hu L, Hu Y, Jaiswal A, Ji L, Jiang P, Kapellos TS, Kuo CS, Larsson L, Leney-Greene MA, Lim K, Litviňuková M, Ludwig LS, Lukassen S, Luo W, Maatz H, Madissoon E, Mamanova L, Manakongtreecheep K, Leroy S, Mayr CH, Mbano IM, McAdams AM, Nabhan AN, Nyquist SK, Penland L, Poirion OB, Poli S, Qi C, Queen R, Reichart D, Rosas I, Schupp JC, Shea CV, Shi X, Sinha R, Sit RV, Slowikowski K, Slyper M, Smith NP, Sountoulidis A, Strunz M, Sullivan TB, Sun D, Talavera-López C, Tan P, Tantivit J, Travaglini KJ, Tucker NR, Vernon KA, Wadsworth MH, Waldman J, Wang X, Xu K, Yan W, Zhao W, and Ziegler CGK
- Subjects
- Adult, Aged, Aged, 80 and over, Alveolar Epithelial Cells metabolism, Alveolar Epithelial Cells virology, Angiotensin-Converting Enzyme 2 genetics, Angiotensin-Converting Enzyme 2 metabolism, COVID-19 pathology, COVID-19 virology, Cathepsin L genetics, Cathepsin L metabolism, Datasets as Topic statistics & numerical data, Demography, Female, Gene Expression Profiling statistics & numerical data, Humans, Lung metabolism, Lung virology, Male, Middle Aged, Organ Specificity genetics, Respiratory System metabolism, Respiratory System virology, Sequence Analysis, RNA methods, Serine Endopeptidases genetics, Serine Endopeptidases metabolism, Single-Cell Analysis methods, COVID-19 epidemiology, COVID-19 genetics, Host-Pathogen Interactions genetics, SARS-CoV-2 physiology, Sequence Analysis, RNA statistics & numerical data, Single-Cell Analysis statistics & numerical data, Virus Internalization
- Abstract
Angiotensin-converting enzyme 2 (ACE2) and accessory proteases (TMPRSS2 and CTSL) are needed for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cellular entry, and their expression may shed light on viral tropism and impact across the body. We assessed the cell-type-specific expression of ACE2, TMPRSS2 and CTSL across 107 single-cell RNA-sequencing studies from different tissues. ACE2, TMPRSS2 and CTSL are coexpressed in specific subsets of respiratory epithelial cells in the nasal passages, airways and alveoli, and in cells from other organs associated with coronavirus disease 2019 (COVID-19) transmission or pathology. We performed a meta-analysis of 31 lung single-cell RNA-sequencing studies with 1,320,896 cells from 377 nasal, airway and lung parenchyma samples from 228 individuals. This revealed cell-type-specific associations of age, sex and smoking with expression levels of ACE2, TMPRSS2 and CTSL. Expression of entry factors increased with age and in males, including in airway secretory cells and alveolar type 2 cells. Expression programs shared by ACE2
+ TMPRSS2+ cells in nasal, lung and gut tissues included genes that may mediate viral entry, key immune functions and epithelial-macrophage cross-talk, such as genes involved in the interleukin-6, interleukin-1, tumor necrosis factor and complement pathways. Cell-type-specific expression patterns may contribute to the pathogenesis of COVID-19, and our work highlights putative molecular pathways for therapeutic intervention.- Published
- 2021
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22. Cells of the adult human heart.
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Litviňuková M, Talavera-López C, Maatz H, Reichart D, Worth CL, Lindberg EL, Kanda M, Polanski K, Heinig M, Lee M, Nadelmann ER, Roberts K, Tuck L, Fasouli ES, DeLaughter DM, McDonough B, Wakimoto H, Gorham JM, Samari S, Mahbubani KT, Saeb-Parsy K, Patone G, Boyle JJ, Zhang H, Zhang H, Viveiros A, Oudit GY, Bayraktar OA, Seidman JG, Seidman CE, Noseda M, Hubner N, and Teichmann SA
- Subjects
- Adipocytes classification, Adipocytes metabolism, Adult, Angiotensin-Converting Enzyme 2 analysis, Angiotensin-Converting Enzyme 2 genetics, Angiotensin-Converting Enzyme 2 metabolism, Epithelial Cells classification, Epithelial Cells metabolism, Epithelium, Female, Fibroblasts classification, Fibroblasts metabolism, Gene Expression Profiling, Genome-Wide Association Study, Heart Atria anatomy & histology, Heart Atria cytology, Heart Atria innervation, Heart Ventricles anatomy & histology, Heart Ventricles cytology, Heart Ventricles innervation, Homeostasis immunology, Humans, Macrophages immunology, Macrophages metabolism, Male, Muscle, Skeletal cytology, Muscle, Skeletal metabolism, Myocytes, Cardiac classification, Myocytes, Cardiac metabolism, Neurons classification, Neurons metabolism, Pericytes classification, Pericytes metabolism, Receptors, Coronavirus analysis, Receptors, Coronavirus genetics, Receptors, Coronavirus metabolism, SARS-CoV-2 metabolism, SARS-CoV-2 pathogenicity, Stromal Cells classification, Stromal Cells metabolism, Myocardium cytology, Single-Cell Analysis, Transcriptome
- Abstract
Cardiovascular disease is the leading cause of death worldwide. Advanced insights into disease mechanisms and therapeutic strategies require a deeper understanding of the molecular processes involved in the healthy heart. Knowledge of the full repertoire of cardiac cells and their gene expression profiles is a fundamental first step in this endeavour. Here, using state-of-the-art analyses of large-scale single-cell and single-nucleus transcriptomes, we characterize six anatomical adult heart regions. Our results highlight the cellular heterogeneity of cardiomyocytes, pericytes and fibroblasts, and reveal distinct atrial and ventricular subsets of cells with diverse developmental origins and specialized properties. We define the complexity of the cardiac vasculature and its changes along the arterio-venous axis. In the immune compartment, we identify cardiac-resident macrophages with inflammatory and protective transcriptional signatures. Furthermore, analyses of cell-to-cell interactions highlight different networks of macrophages, fibroblasts and cardiomyocytes between atria and ventricles that are distinct from those of skeletal muscle. Our human cardiac cell atlas improves our understanding of the human heart and provides a valuable reference for future studies.
- Published
- 2020
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23. SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes.
- Author
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Sungnak W, Huang N, Bécavin C, Berg M, Queen R, Litvinukova M, Talavera-López C, Maatz H, Reichart D, Sampaziotis F, Worlock KB, Yoshida M, and Barnes JL
- Abstract
We investigated SARS-CoV-2 potential tropism by surveying expression of viral entry-associated genes in single-cell RNA-sequencing data from multiple tissues from healthy human donors. We co-detected these transcripts in specific respiratory, corneal and intestinal epithelial cells, potentially explaining the high efficiency of SARS-CoV-2 transmission. These genes are co-expressed in nasal epithelial cells with genes involved in innate immunity, highlighting the cells' potential role in initial viral infection, spread and clearance. The study offers a useful resource for further lines of inquiry with valuable clinical samples from COVID-19 patients and we provide our data in a comprehensive, open and user-friendly fashion at www.covid19cellatlas.org.
- Published
- 2020
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24. The Translational Landscape of the Human Heart.
- Author
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van Heesch S, Witte F, Schneider-Lunitz V, Schulz JF, Adami E, Faber AB, Kirchner M, Maatz H, Blachut S, Sandmann CL, Kanda M, Worth CL, Schafer S, Calviello L, Merriott R, Patone G, Hummel O, Wyler E, Obermayer B, Mücke MB, Lindberg EL, Trnka F, Memczak S, Schilling M, Felkin LE, Barton PJR, Quaife NM, Vanezis K, Diecke S, Mukai M, Mah N, Oh SJ, Kurtz A, Schramm C, Schwinge D, Sebode M, Harakalova M, Asselbergs FW, Vink A, de Weger RA, Viswanathan S, Widjaja AA, Gärtner-Rommel A, Milting H, Dos Remedios C, Knosalla C, Mertins P, Landthaler M, Vingron M, Linke WA, Seidman JG, Seidman CE, Rajewsky N, Ohler U, Cook SA, and Hubner N
- Subjects
- Adolescent, Adult, Aged, Animals, Codon genetics, Female, Gene Expression Regulation, HEK293 Cells, Humans, Infant, Male, Mice, Mice, Inbred C57BL, Middle Aged, Open Reading Frames genetics, RNA, Circular genetics, RNA, Circular metabolism, RNA, Long Noncoding genetics, RNA, Long Noncoding metabolism, RNA, Messenger genetics, RNA, Messenger metabolism, Rats, Ribosomes genetics, Ribosomes metabolism, Young Adult, Myocardium metabolism, Protein Biosynthesis
- Abstract
Gene expression in human tissue has primarily been studied on the transcriptional level, largely neglecting translational regulation. Here, we analyze the translatomes of 80 human hearts to identify new translation events and quantify the effect of translational regulation. We show extensive translational control of cardiac gene expression, which is orchestrated in a process-specific manner. Translation downstream of predicted disease-causing protein-truncating variants appears to be frequent, suggesting inefficient translation termination. We identify hundreds of previously undetected microproteins, expressed from lncRNAs and circRNAs, for which we validate the protein products in vivo. The translation of microproteins is not restricted to the heart and prominent in the translatomes of human kidney and liver. We associate these microproteins with diverse cellular processes and compartments and find that many locate to the mitochondria. Importantly, dozens of microproteins are translated from lncRNAs with well-characterized noncoding functions, indicating previously unrecognized biology., (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Published
- 2019
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25. IL-11 is a crucial determinant of cardiovascular fibrosis.
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Schafer S, Viswanathan S, Widjaja AA, Lim WW, Moreno-Moral A, DeLaughter DM, Ng B, Patone G, Chow K, Khin E, Tan J, Chothani SP, Ye L, Rackham OJL, Ko NSJ, Sahib NE, Pua CJ, Zhen NTG, Xie C, Wang M, Maatz H, Lim S, Saar K, Blachut S, Petretto E, Schmidt S, Putoczki T, Guimarães-Camboa N, Wakimoto H, van Heesch S, Sigmundsson K, Lim SL, Soon JL, Chao VTT, Chua YL, Tan TE, Evans SM, Loh YJ, Jamal MH, Ong KK, Chua KC, Ong BH, Chakaramakkil MJ, Seidman JG, Seidman CE, Hubner N, Sin KYK, and Cook SA
- Subjects
- Animals, Autocrine Communication, Cells, Cultured, Female, Fibroblasts drug effects, Fibroblasts metabolism, Fibroblasts pathology, Fibrosis chemically induced, Heart, Humans, Interleukin-11 antagonists & inhibitors, Interleukin-11 genetics, Interleukin-11 Receptor alpha Subunit deficiency, Interleukin-11 Receptor alpha Subunit genetics, Kidney pathology, Male, Mice, Mice, Knockout, Middle Aged, Myocardium metabolism, Myocardium pathology, Organ Dysfunction Scores, Protein Biosynthesis, Transforming Growth Factor beta1 metabolism, Transforming Growth Factor beta1 pharmacology, Transgenes genetics, Cardiovascular System metabolism, Cardiovascular System pathology, Fibrosis metabolism, Fibrosis pathology, Interleukin-11 metabolism
- Abstract
Fibrosis is a common pathology in cardiovascular disease. In the heart, fibrosis causes mechanical and electrical dysfunction and in the kidney, it predicts the onset of renal failure. Transforming growth factor β1 (TGFβ1) is the principal pro-fibrotic factor, but its inhibition is associated with side effects due to its pleiotropic roles. We hypothesized that downstream effectors of TGFβ1 in fibroblasts could be attractive therapeutic targets and lack upstream toxicity. Here we show, using integrated imaging-genomics analyses of primary human fibroblasts, that upregulation of interleukin-11 (IL-11) is the dominant transcriptional response to TGFβ1 exposure and required for its pro-fibrotic effect. IL-11 and its receptor (IL11RA) are expressed specifically in fibroblasts, in which they drive non-canonical, ERK-dependent autocrine signalling that is required for fibrogenic protein synthesis. In mice, fibroblast-specific Il11 transgene expression or Il-11 injection causes heart and kidney fibrosis and organ failure, whereas genetic deletion of Il11ra1 protects against disease. Therefore, inhibition of IL-11 prevents fibroblast activation across organs and species in response to a range of important pro-fibrotic stimuli. These results reveal a central role of IL-11 in fibrosis and we propose that inhibition of IL-11 is a potential therapeutic strategy to treat fibrotic diseases.
- Published
- 2017
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26. Transcriptome-wide Identification of RNA-binding Protein Binding Sites Using Photoactivatable-Ribonucleoside-Enhanced Crosslinking Immunoprecipitation (PAR-CLIP).
- Author
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Maatz H, Kolinski M, Hubner N, and Landthaler M
- Subjects
- Animals, Base Sequence, Binding Sites, HEK293 Cells, Humans, Photochemical Processes, Protein Binding, RNA genetics, Ribonucleosides chemistry, Ribonucleosides genetics, Ribonucleosides metabolism, High-Throughput Nucleotide Sequencing methods, Immunoprecipitation methods, RNA chemistry, RNA metabolism, RNA-Binding Proteins metabolism, Transcriptome
- Abstract
RNA-binding proteins (RBPs) mediate important co- and post-transcriptional gene regulation by binding pre-mRNA in a sequence- and/or structure-specific manner. For a comprehensive understanding of RBP function, transcriptome-wide mapping of the RNA-binding sites is essential, and CLIP-seq methods have been developed to elucidate protein/RNA interactions at high resolution. CLIP-seq combines protein/RNA UV-crosslinking with immunoprecipitation (CLIP) followed by high-throughput sequencing of crosslinked RNA fragments. To overcome the limitations of low RNA-protein crosslinking efficiency in standard CLIP-seq, photoactivatable-ribonucleoside-enhanced CLIP (PAR-CLIP) has been developed. Here, living cells or whole organisms are fed photo-activatable nucleoside analogs that are incorporated into nascent RNA transcripts before UV treatment. This allows greater crosslinking efficiency at comparable radiation doses for enhanced RNA recovery and separation of crosslinked target RNA fragments from background RNA degradation products. Moreover, it facilitates the generation of specific UV-induced mutations that mark the crosslinking nucleotide and allow transcriptome-wide identification of RBP binding sites at single-nucleotide resolution. © by 2017 John Wiley & Sons, Inc., (Copyright © 2017 John Wiley & Sons, Inc.)
- Published
- 2017
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27. Epigenetics and Control of RNAs.
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Maatz H, van Heesch S, Kreuchwig F, Faber A, Adami E, Hubner N, and Heinig M
- Subjects
- Chromatin Immunoprecipitation, Chromosome Mapping methods, Gene Expression, High-Throughput Nucleotide Sequencing, Histones metabolism, Inbreeding, Quantitative Trait Loci, Recombination, Genetic, Computational Biology methods, Epigenesis, Genetic, Epigenomics methods, RNA genetics, Software
- Abstract
Histone modifications are epigenetic marks that fundamentally impact the regulation of gene expression. Integrating histone modification information in the analysis of gene expression traits (eQTL mapping) has been shown to significantly enhance the prediction of eQTLs. In this chapter, we describe (1) how to perform quantitative trait locus (QTL) analysis using histone modification levels as traits and (2) how to integrate these data with information on RNA expression for the elucidation of the epigenetic control of transcript levels. We will provide a comprehensive introduction into the topic, describe in detail how ChIP-seq data are analyzed and elaborate on how to integrate ChIP-seq and RNA-seq data from a segregating disease animal model for the identification of the epigenetic control of RNA expression.
- Published
- 2017
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28. Ndufc2 Gene Inhibition Is Associated With Mitochondrial Dysfunction and Increased Stroke Susceptibility in an Animal Model of Complex Human Disease.
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Rubattu S, Di Castro S, Schulz H, Geurts AM, Cotugno M, Bianchi F, Maatz H, Hummel O, Falak S, Stanzione R, Marchitti S, Scarpino S, Giusti B, Kura A, Gensini GF, Peyvandi F, Mannucci PM, Rasura M, Sciarretta S, Dwinell MR, Hubner N, and Volpe M
- Subjects
- Adenosine Triphosphate metabolism, Adult, Age of Onset, Animals, Brain enzymology, Cell Line, Chi-Square Distribution, Databases, Genetic, Disease Models, Animal, Electron Transport Complex I deficiency, Gene Deletion, Gene Expression Profiling methods, Gene Frequency, Genetic Predisposition to Disease, Heterozygote, Humans, Hypertension complications, Hypertension genetics, Logistic Models, Male, Membrane Potential, Mitochondrial, Middle Aged, Mitochondria enzymology, Mitochondrial Diseases enzymology, Multivariate Analysis, Odds Ratio, Oligonucleotide Array Sequence Analysis, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, RNA Interference, Rats, Inbred SHR, Rats, Transgenic, Risk Factors, Stroke enzymology, Transfection, Electron Transport Complex I genetics, Mitochondrial Diseases genetics, Stroke genetics
- Abstract
Background: The genetic basis of stroke susceptibility remains to be elucidated. STR1 quantitative trait locus (STR1/QTL) was identified on rat chromosome 1 of stroke-prone spontaneously hypertensive rat (SHRSP) upon Japanese-style stroke-permissive diet (JD), and it contributes to 20% of the stroke phenotype variance., Methods and Results: Nine hundred eighty-six probe sets mapping on STR1 were selected from the Rat RAE230A array and screened through a microarray differential expression analysis in brains of SHRSP and stroke-resistant SHR (SHRSR) fed with either regular diet or JD. The gene encoding Ndufc2 (NADH dehydrogenase [ubiquinone] 1 subunit), mapping 8 Mb apart from STR1/QTL Lod score peak, was found significantly down-regulated under JD in SHRSP compared to SHRSR. Ndufc2 disruption altered complex I assembly and activity, reduced mitochondrial membrane potential and ATP levels, and increased reactive oxygen species production and inflammation both in vitro and in vivo. SHRSR carrying heterozygous Ndufc2 deletion showed renal abnormalities and stroke occurrence under JD, similarly to SHRSP. In humans, T allele variant at NDUFC2/rs11237379 was associated with significant reduction in gene expression and with increased occurrence of early-onset ischemic stroke by recessive mode of transmission (odds ratio [OR], 1.39; CI, 1.07-1.80; P=0.012). Subjects carrying TT/rs11237379 and A allele variant at NDUFC2/rs641836 had further increased risk of stroke (OR=1.56; CI, 1.14-2.13; P=0.006)., Conclusions: A significant reduction of Ndufc2 expression causes complex I dysfunction and contributes to stroke susceptibility in SHRSP. Moreover, our current evidence may suggest that Ndufc2 can contribute to an increased occurrence of early-onset ischemic stroke in humans., (© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.)
- Published
- 2016
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29. RNA-binding protein RBM20 represses splicing to orchestrate cardiac pre-mRNA processing.
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Maatz H, Jens M, Liss M, Schafer S, Heinig M, Kirchner M, Adami E, Rintisch C, Dauksaite V, Radke MH, Selbach M, Barton PJ, Cook SA, Rajewsky N, Gotthardt M, Landthaler M, and Hubner N
- Subjects
- Animals, Base Sequence, Binding Sites genetics, Cardiomyopathy, Dilated complications, Cardiomyopathy, Dilated genetics, Cardiomyopathy, Dilated metabolism, Cohort Studies, Exons, Heart Failure etiology, Heart Failure genetics, Heart Failure metabolism, Humans, Mutation, Myocytes, Cardiac metabolism, RNA Precursors genetics, RNA Processing, Post-Transcriptional, RNA Splice Sites, RNA-Binding Proteins genetics, Rats, Rats, Sprague-Dawley, Ribonucleoprotein, U1 Small Nuclear metabolism, Ribonucleoprotein, U2 Small Nuclear metabolism, Selection, Genetic, Spliceosomes metabolism, Alternative Splicing, Myocardium metabolism, RNA Precursors metabolism, RNA-Binding Proteins metabolism
- Abstract
Mutations in the gene encoding the RNA-binding protein RBM20 have been implicated in dilated cardiomyopathy (DCM), a major cause of chronic heart failure, presumably through altering cardiac RNA splicing. Here, we combined transcriptome-wide crosslinking immunoprecipitation (CLIP-seq), RNA-seq, and quantitative proteomics in cell culture and rat and human hearts to examine how RBM20 regulates alternative splicing in the heart. Our analyses revealed the presence of a distinct RBM20 RNA-recognition element that is predominantly found within intronic binding sites and linked to repression of exon splicing with RBM20 binding near 3' and 5' splice sites. Proteomic analysis determined that RBM20 interacts with both U1 and U2 small nuclear ribonucleic particles (snRNPs) and suggested that RBM20-dependent splicing repression occurs through spliceosome stalling at complex A. Direct RBM20 targets included several genes previously shown to be involved in DCM as well as genes not typically associated with this disease. In failing human hearts, reduced expression of RBM20 affected alternative splicing of several direct targets, indicating that differences in RBM20 expression may affect cardiac function. Together, these findings identify RBM20-regulated targets and provide insight into the pathogenesis of human heart failure.
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- 2014
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30. RBM20, a gene for hereditary cardiomyopathy, regulates titin splicing.
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Guo W, Schafer S, Greaser ML, Radke MH, Liss M, Govindarajan T, Maatz H, Schulz H, Li S, Parrish AM, Dauksaite V, Vakeel P, Klaassen S, Gerull B, Thierfelder L, Regitz-Zagrosek V, Hacker TA, Saupe KW, Dec GW, Ellinor PT, MacRae CA, Spallek B, Fischer R, Perrot A, Özcelik C, Saar K, Hubner N, and Gotthardt M
- Subjects
- Adaptor Proteins, Signal Transducing genetics, Animals, Base Sequence, Connectin, Humans, LIM Domain Proteins genetics, Molecular Sequence Data, Mutation, RNA-Binding Proteins physiology, Rats, Rats, Inbred BN, Rats, Inbred F344, Cardiomyopathy, Dilated genetics, Muscle Proteins genetics, Protein Kinases genetics, RNA Splicing, RNA-Binding Proteins genetics
- Abstract
Alternative splicing has a major role in cardiac adaptive responses, as exemplified by the isoform switch of the sarcomeric protein titin, which adjusts ventricular filling. By positional cloning using a previously characterized rat strain with altered titin mRNA splicing, we identified a loss-of-function mutation in the gene encoding RNA binding motif protein 20 (Rbm20) as the underlying cause of pathological titin isoform expression. The phenotype of Rbm20-deficient rats resembled the pathology seen in individuals with dilated cardiomyopathy caused by RBM20 mutations. Deep sequencing of the human and rat cardiac transcriptome revealed an RBM20-dependent regulation of alternative splicing. In addition to titin (TTN), we identified a set of 30 genes with conserved splicing regulation between humans and rats. This network is enriched for genes that have previously been linked to cardiomyopathy, ion homeostasis and sarcomere biology. Our studies emphasize the key role of post-transcriptional regulation in cardiac function and provide mechanistic insights into the pathogenesis of human heart failure.
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- 2012
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31. Soluble epoxide hydrolase is a susceptibility factor for heart failure in a rat model of human disease.
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Monti J, Fischer J, Paskas S, Heinig M, Schulz H, Gösele C, Heuser A, Fischer R, Schmidt C, Schirdewan A, Gross V, Hummel O, Maatz H, Patone G, Saar K, Vingron M, Weldon SM, Lindpaintner K, Hammock BD, Rohde K, Dietz R, Cook SA, Schunck WH, Luft FC, and Hubner N
- Subjects
- Animals, Chromosome Mapping, Epoxide Hydrolases analysis, Epoxide Hydrolases metabolism, Gene Expression Profiling, Genetic Linkage, Heart Failure enzymology, Heart Failure physiopathology, Humans, Hypertension complications, Hypertension genetics, Mice, Mice, Knockout, Myocardium enzymology, Polymorphism, Genetic, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Quantitative Trait Loci, Rats, Mutant Strains, Sequence Analysis, DNA, Sequence Deletion, Transcription Factor AP-1 metabolism, Disease Models, Animal, Epoxide Hydrolases genetics, Genetic Predisposition to Disease, Heart Failure genetics, Rats genetics
- Abstract
We aimed to identify genetic variants associated with heart failure by using a rat model of the human disease. We performed invasive cardiac hemodynamic measurements in F2 crosses between spontaneously hypertensive heart failure (SHHF) rats and reference strains. We combined linkage analyses with genome-wide expression profiling and identified Ephx2 as a heart failure susceptibility gene in SHHF rats. Specifically, we found that cis variation at Ephx2 segregated with heart failure and with increased transcript expression, protein expression and enzyme activity, leading to a more rapid hydrolysis of cardioprotective epoxyeicosatrienoic acids. To confirm our results, we tested the role of Ephx2 in heart failure using knockout mice. Ephx2 gene ablation protected from pressure overload-induced heart failure and cardiac arrhythmias. We further demonstrated differential regulation of EPHX2 in human heart failure, suggesting a cross-species role for Ephx2 in this complex disease.
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- 2008
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32. Heritability and tissue specificity of expression quantitative trait loci.
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Petretto E, Mangion J, Dickens NJ, Cook SA, Kumaran MK, Lu H, Fischer J, Maatz H, Kren V, Pravenec M, Hubner N, and Aitman TJ
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- Alleles, Animals, Genetic Variation, Genome genetics, Male, RNA, Messenger genetics, RNA, Messenger metabolism, Rats, Rats, Inbred Strains, Gene Expression Regulation genetics, Organ Specificity, Quantitative Trait Loci genetics, Quantitative Trait, Heritable
- Abstract
Variation in gene expression is heritable and has been mapped to the genome in humans and model organisms as expression quantitative trait loci (eQTLs). We applied integrated genome-wide expression profiling and linkage analysis to the regulation of gene expression in fat, kidney, adrenal, and heart tissues using the BXH/HXB panel of rat recombinant inbred strains. Here, we report the influence of heritability and allelic effect of the quantitative trait locus on detection of cis- and trans-acting eQTLs and discuss how these factors operate in a tissue-specific context. We identified several hundred major eQTLs in each tissue and found that cis-acting eQTLs are highly heritable and easier to detect than trans-eQTLs. The proportion of heritable expression traits was similar in all tissues; however, heritability alone was not a reliable predictor of whether an eQTL will be detected. We empirically show how the use of heritability as a filter reduces the ability to discover trans-eQTLs, particularly for eQTLs with small effects. Only 3% of cis- and trans-eQTLs exhibited large allelic effects, explaining more than 40% of the phenotypic variance, suggestive of a highly polygenic control of gene expression. Power calculations indicated that, across tissues, minor differences in genetic effects are expected to have a significant impact on detection of trans-eQTLs. Trans-eQTLs generally show smaller effects than cis-eQTLs and have a higher false discovery rate, particularly in more heterogeneous tissues, suggesting that small biological variability, likely relating to tissue composition, may influence detection of trans-eQTLs in this system. We delineate the effects of genetic architecture on variation in gene expression and show the sensitivity of this experimental design to tissue sampling variability in large-scale eQTL studies., Competing Interests: Competing interests. The authors have declared that no competing interests exist.
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- 2006
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33. Akt/FOXO3a signaling modulates the endothelial stress response through regulation of heat shock protein 70 expression.
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Kim HS, Skurk C, Maatz H, Shiojima I, Ivashchenko Y, Yoon SW, Park YB, and Walsh K
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- Adenoviridae, Apoptosis, Caspase 9, Caspases metabolism, Cell Survival, Cells, Cultured, Forkhead Transcription Factors genetics, Genetic Vectors, Green Fluorescent Proteins genetics, HSP70 Heat-Shock Proteins physiology, Hot Temperature, Humans, Proto-Oncogene Proteins c-akt genetics, Recombinant Fusion Proteins, Transfection, Umbilical Veins, beta-Galactosidase genetics, Endothelial Cells physiology, Forkhead Transcription Factors physiology, Gene Expression Regulation, HSP70 Heat-Shock Proteins genetics, Proto-Oncogene Proteins c-akt physiology, Signal Transduction physiology
- Abstract
To identify new antiapoptotic targets of the PI3K-Akt signaling pathway in endothelial cells, adenovirus-mediated Akt1 gene transfer and oligonucleotide microarrays were used to examine Akt-regulated transcripts. DNA microarray analysis revealed that HSP70 expression underwent the greatest fold activation of 12,532 transcripts examined in human umbilical vein endothelial cells (HUVEC) transduced with constitutively active Akt1. Akt1 gene transfer increased HSP70 transcript expression by 24.8-fold as determined by quantitative PCR and promoted a dose-dependent up-regulation of HSP70 protein as determined by Western immunoblot analysis. Gene transfer of FOXO3a, a downstream target of Akt in endothelial cells, significantly suppressed both basal and stress-induced HSP70 protein expression. FOXO3a induced caspase-9-dependent apoptosis in HUVEC, and cotransduction with Ad-HSP70 rescued endothelial cells from FOXO3a-induced apoptosis under basal and stress conditions. Our results identify HSP70 as a new antiapoptotic target of Akt-FOXO3a signaling in endothelial cells that controls viability through modulation of the stress-induced intrinsic cell death pathway.
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- 2005
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34. The FOXO3a transcription factor regulates cardiac myocyte size downstream of AKT signaling.
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Skurk C, Izumiya Y, Maatz H, Razeghi P, Shiojima I, Sandri M, Sato K, Zeng L, Schiekofer S, Pimentel D, Lecker S, Taegtmeyer H, Goldberg AL, and Walsh K
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- Angiotensin II pharmacology, Animals, Animals, Newborn, Cardiomegaly genetics, Cells, Cultured, DNA-Binding Proteins genetics, Enzyme Activation, Forkhead Box Protein O3, Forkhead Transcription Factors, Gene Expression drug effects, Gene Expression Regulation, Growth Hormone metabolism, Heart Ventricles, Insulin pharmacology, Insulin-Like Growth Factor I pharmacology, Mechanoreceptors physiology, Mice, Mice, Knockout, Microarray Analysis, Muscle Proteins genetics, Mutagenesis, Myocytes, Cardiac chemistry, Nerve Tissue Proteins, Phosphorylation, Protein Serine-Threonine Kinases genetics, Proto-Oncogene Proteins genetics, Proto-Oncogene Proteins c-akt, RNA, Messenger analysis, Rats, Receptor, Insulin deficiency, Receptor, Insulin physiology, SKP Cullin F-Box Protein Ligases genetics, Transcription Factors genetics, Transfection, Cell Size, DNA-Binding Proteins physiology, Myocytes, Cardiac cytology, Protein Serine-Threonine Kinases physiology, Proto-Oncogene Proteins physiology, Signal Transduction drug effects, Transcription Factors physiology
- Abstract
Although signaling mechanisms inducing cardiac hypertrophy have been extensively studied, little is known about the mechanisms that reverse cardiac hypertrophy. Here, we describe the existence of a similar Akt/forkhead signaling axis in cardiac myocytes in vitro and in vivo, which is regulated by insulin, insulin-like growth factor (IGF), stretch, pressure overload, and angiotensin II stimulation. FOXO3a gene transfer prevented both IGF and stretch-induced hypertrophy in rat neonatal cardiac myocyte cultures in vitro. Transduction with FOXO3a also caused a significant reduction in cardiomyocyte size in mouse hearts in vivo. Akt/FOXO signaling regulated the expression of multiple atrophy-related genes "atrogenes," including the ubiquitin ligase atrogin-1 (MAFbx). In cardiac myocyte cultures, transduction with constitutively active Akt or treatment with IGF suppressed atrogin-1 mRNA expression, whereas transduction with FOXO3a stimulated its expression. FOXO3a transduction activated the atrogin-1 promoter in both cultured myocytes and mouse heart. Thus, in cardiomyocytes, as in skeletal muscle, FOXO3a activates an atrogene transcriptional program, which retards or prevents hypertrophy and is down-regulated by multiple physiological and pathological stimuli of myocyte growth.
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- 2005
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35. Glycogen-Synthase Kinase3beta/beta-catenin axis promotes angiogenesis through activation of vascular endothelial growth factor signaling in endothelial cells.
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Skurk C, Maatz H, Rocnik E, Bialik A, Force T, and Walsh K
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- Animals, Cell Differentiation physiology, Cell Line, Cell Movement physiology, Endothelium, Vascular cytology, Endothelium, Vascular enzymology, Glycogen Synthase Kinase 3 beta, Humans, Mice, Mice, Inbred C57BL, Phenotype, Phosphatidylinositol 3-Kinases metabolism, Protein Serine-Threonine Kinases metabolism, Proto-Oncogene Proteins metabolism, Proto-Oncogene Proteins c-akt, Transcriptional Activation physiology, Umbilical Veins, Up-Regulation physiology, Vascular Endothelial Growth Factor A biosynthesis, Vascular Endothelial Growth Factor C biosynthesis, Vascular Endothelial Growth Factor Receptor-2 biosynthesis, Vascular Endothelial Growth Factors genetics, beta Catenin, Cytoskeletal Proteins physiology, Endothelial Cells enzymology, Endothelial Cells metabolism, Glycogen Synthase Kinase 3 physiology, Neovascularization, Physiologic physiology, Signal Transduction physiology, Trans-Activators physiology, Vascular Endothelial Growth Factors physiology
- Abstract
Glycogen-Synthase Kinase 3beta (GSK3beta) has been shown to function as a nodal point of converging signaling pathways in endothelial cells to regulate vessel growth, but the signaling mechanisms downstream from GSK3beta have not been identified. Here, we show that beta-catenin is an important downstream target for GSK3beta action in angiogenesis and dissect the signal transduction pathways involved in the angiogenic phenotype. Transduction of human umbilical vein endothelial cells (HUVECs) with a kinase-mutant form of the enzyme (KM-GSK3beta) increased cytosolic beta-catenin levels, whereas constitutively active GSK3beta (S9A-GSK3beta) reduced beta-catenin levels. Lymphoid enhancer factor/T-cell factor promoter activity was upregulated by KM-GSK3beta and diminished by S9A-GSK3beta, whereas manipulation of Akt signaling had no effect on this parameter. beta-Catenin transduction induced capillary formation in a Matrigel-plug assay in vivo and promoted endothelial cell differentiation into network structures on Matrigel-coated plates in vitro. beta-Catenin activated the expression of vascular endothelial growth factor (VEGF)-A and VEGF-C in endothelial cells, and these effects were mediated at the levels of protein, mRNA, and promoter activity. Consistent with these data, beta-catenin increased the phosphorylation of the VEGF receptor 2 (VEGF-R2) and promoted its association with PI3-kinase, leading to a dose-dependent activation of the serine-threonine kinase Akt. Inhibition of PI3-kinase or Akt signaling led to a significant reduction in the pro-angiogenic activity of beta-catenin. Collectively, these data show that the growth factor-PI3-kinase-Akt axis functions downstream of GSK3beta/beta-catenin signaling in endothelial cells to promote angiogenesis.
- Published
- 2005
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36. The Akt-regulated forkhead transcription factor FOXO3a controls endothelial cell viability through modulation of the caspase-8 inhibitor FLIP.
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Skurk C, Maatz H, Kim HS, Yang J, Abid MR, Aird WC, and Walsh K
- Subjects
- Active Transport, Cell Nucleus, Anoikis, Apoptosis, Blotting, Western, CASP8 and FADD-Like Apoptosis Regulating Protein, Caspase 8, Caspase 9, Cell Separation, Cell Survival, Cells, Cultured, DNA Fragmentation, DNA-Binding Proteins chemistry, Down-Regulation, Endothelium, Vascular cytology, Endothelium, Vascular metabolism, Enzyme Activation, Enzyme Inhibitors pharmacology, Flow Cytometry, Forkhead Box Protein O1, Forkhead Transcription Factors, Green Fluorescent Proteins, Growth Substances metabolism, Humans, Luminescent Proteins metabolism, Microscopy, Fluorescence, Models, Biological, Mutation, Protein Structure, Tertiary, Proto-Oncogene Proteins c-akt, RNA metabolism, Ribonucleases metabolism, Serpins chemistry, Signal Transduction, Time Factors, Transcription Factors chemistry, Umbilical Veins cytology, Up-Regulation, Carrier Proteins metabolism, Caspases metabolism, DNA-Binding Proteins physiology, Endothelial Cells metabolism, Intracellular Signaling Peptides and Proteins, Protein Serine-Threonine Kinases, Proto-Oncogene Proteins metabolism, Transcription Factors physiology, Viral Proteins
- Abstract
FLICE-inhibitory protein (FLIP) is a homolog of caspase-8 that lacks catalytic activity and has been shown to be important in protecting endothelial cells from apoptosis. The serine/threonine kinase Akt/PKB was recently reported to promote FLIP expression in endothelial and tumor cells. Here we examined the role of the forkhead transcription factor FOXO3a, a downstream target of Akt, in controlling FLIP regulation in endothelial cells. FOXO3a nuclear translocation was regulated by Akt in human umbilical vein endothelial cells. Transduction of a nonphosphorylatable, constitutively active mutant of FOXO3a (TM-FOXO3a) led to the down-regulation of FLIP levels. Transduction with TM-FOXO3a also increased caspase-8 activity and promoted apoptosis in endothelial cells. Conversely, transduction of a dominant-negative mutant of FOXO3a up-regulated FLIP levels and protected endothelial cells from apoptosis under serum deprivation conditions. Restoration of intracellular FLIP blocked caspase-8 activation and inhibited apoptosis in TM-FOXO3a-transduced cells. These data suggest that FOXO3a is a downstream target of Akt in endothelial cells that can promote apoptosis via FLIP down-regulation and activation of the extrinsic apoptotic pathway.
- Published
- 2004
- Full Text
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