37 results on '"Azeloglu, Evren U."'
Search Results
2. Open-Source System for Real-Time Functional Assessment of In Vitro Filtration Barriers
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Fallon, Tess K., Zuvin, Merve, Stern, Alan D., Anandakrishnan, Nanditha, Daehn, Ilse S., and Azeloglu, Evren U.
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- 2024
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3. Computational study of biomechanical drivers of renal cystogenesis
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Ateshian, Gerard A., Spack, Katherine A., Hone, James C., Azeloglu, Evren U., and Gusella, G. Luca
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- 2023
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4. cGAS Activation Accelerates the Progression of Autosomal Dominant Polycystic Kidney Disease
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Yoo, Miran, Haydak, Jonathan C., Azeloglu, Evren U., Lee, Kyung, and Gusella, G. Luca
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- 2024
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5. A reference tissue atlas for the human kidney
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Hansen, Jens, Sealfon, Rachel, Menon, Rajasree, Eadon, Michael T, Lake, Blue B, Steck, Becky, Anjani, Kavya, Parikh, Samir, Sigdel, Tara K, Zhang, Guanshi, Velickovic, Dusan, Barwinska, Daria, Alexandrov, Theodore, Dobi, Dejan, Rashmi, Priyanka, Otto, Edgar A, Rivera, Miguel, Rose, Michael P, Anderton, Christopher R, Shapiro, John P, Pamreddy, Annapurna, Winfree, Seth, Xiong, Yuguang, He, Yongqun, de Boer, Ian H, Hodgin, Jeffrey B, Barisoni, Laura, Naik, Abhijit S, Sharma, Kumar, Sarwal, Minnie M, Zhang, Kun, Himmelfarb, Jonathan, Rovin, Brad, El-Achkar, Tarek M, Laszik, Zoltan, He, John Cijiang, Dagher, Pierre C, Valerius, M Todd, Jain, Sanjay, Satlin, Lisa M, Troyanskaya, Olga G, Kretzler, Matthias, Iyengar, Ravi, Azeloglu, Evren U, and Project, Kidney Precision Medicine
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Biotechnology ,Genetics ,Kidney Disease ,Aetiology ,2.1 Biological and endogenous factors ,Underpinning research ,1.1 Normal biological development and functioning ,Generic health relevance ,Renal and urogenital ,Good Health and Well Being ,Humans ,Kidney ,Kidney Diseases ,Metabolomics ,Proteomics ,Transcriptome ,Kidney Precision Medicine Project - Abstract
Kidney Precision Medicine Project (KPMP) is building a spatially specified human kidney tissue atlas in health and disease with single-cell resolution. Here, we describe the construction of an integrated reference map of cells, pathways, and genes using unaffected regions of nephrectomy tissues and undiseased human biopsies from 56 adult subjects. We use single-cell/nucleus transcriptomics, subsegmental laser microdissection transcriptomics and proteomics, near-single-cell proteomics, 3D and CODEX imaging, and spatial metabolomics to hierarchically identify genes, pathways, and cells. Integrated data from these different technologies coherently identify cell types/subtypes within different nephron segments and the interstitium. These profiles describe cell-level functional organization of the kidney following its physiological functions and link cell subtypes to genes, proteins, metabolites, and pathways. They further show that messenger RNA levels along the nephron are congruent with the subsegmental physiological activity. This reference atlas provides a framework for the classification of kidney disease when multiple molecular mechanisms underlie convergent clinical phenotypes.
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- 2022
6. HCK induces macrophage activation to promote renal inflammation and fibrosis via suppression of autophagy
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Chen, Man, Menon, Madhav C., Wang, Wenlin, Fu, Jia, Yi, Zhengzi, Sun, Zeguo, Liu, Jessica, Li, Zhengzhe, Mou, Lingyun, Banu, Khadija, Lee, Sui-Wan, Dai, Ying, Anandakrishnan, Nanditha, Azeloglu, Evren U., Lee, Kyung, Zhang, Weijia, Das, Bhaskar, He, John Cijiang, and Wei, Chengguo
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- 2023
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7. Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection
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Paranjpe, Ishan, Jayaraman, Pushkala, Su, Chen-Yang, Zhou, Sirui, Chen, Steven, Thompson, Ryan, Del Valle, Diane Marie, Kenigsberg, Ephraim, Zhao, Shan, Jaladanki, Suraj, Chaudhary, Kumardeep, Ascolillo, Steven, Vaid, Akhil, Gonzalez-Kozlova, Edgar, Kauffman, Justin, Kumar, Arvind, Paranjpe, Manish, Hagan, Ross O., Kamat, Samir, Gulamali, Faris F., Xie, Hui, Harris, Joceyln, Patel, Manishkumar, Argueta, Kimberly, Batchelor, Craig, Nie, Kai, Dellepiane, Sergio, Scott, Leisha, Levin, Matthew A., He, John Cijiang, Suarez-Farinas, Mayte, Coca, Steven G., Chan, Lili, Azeloglu, Evren U., Schadt, Eric, Beckmann, Noam, Gnjatic, Sacha, Merad, Miram, Kim-Schulze, Seunghee, Richards, Brent, Glicksberg, Benjamin S., Charney, Alexander W., and Nadkarni, Girish N.
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- 2023
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8. A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization
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Yi, Zhengzi, Xi, Caixia, Menon, Madhav C., Cravedi, Paolo, Tedla, Fasika, Soto, Alan, Sun, Zeguo, Liu, Keyu, Zhang, Jason, Wei, Chengguo, Chen, Man, Wang, Wenlin, Veremis, Brandon, Garcia-barros, Monica, Kumar, Abhishek, Haakinson, Danielle, Brody, Rachel, Azeloglu, Evren U., Gallon, Lorenzo, O’Connell, Philip, Naesens, Maarten, Shapiro, Ron, Colvin, Robert B., Ward, Stephen, Salem, Fadi, and Zhang, Weijia
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- 2024
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9. Participant Experience with Protocol Research Kidney Biopsies in the Kidney Precision Medicine Project
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Victoria-Castro, Angela M., Corona-Villalobos, Celia P., Xu, Alan Y., Onul, Ingrid, Huynh, Courtney, Chen, Sarah W., Ugwuowo, Ugochukwu, Sarkisova, Natalya, Dighe, Ashveena L., Blank, Kristina N., Blanc, Victoria M., Rose, Michael P., Himmelfarb, Jonathan, de Boer, Ian H., Tuttle, Katherine R., Roberts, Glenda V., Alexandrov, Theodore, Alloway, Rita R., Alpers, Charles E., Amodu, Afolarin A., Anderton, Christopher R., Anjani, Kavya, Appelbaum, Paul, Ardayfio, Joseph, Arora, Tanima, Ascani, Heather, El-Achkar, Tarek M., Aulisio, Mark, Azeloglu, Evren U., Balderes, Olivia, Balis, Ulysses G.J., Bansal, Shweta, Barasch, Jonathan M., Bansal, Shweta, Barkell, Alex, Barwinska, Daria, Basit, Mujeeb, Basta, Jeanine, Bebiak, Jack, Beck, Laurence H., Bender, Filitsa, Berglund, Ashley, Bernard, Lauren, Berrouet, Cecilia, Berry, Brooke, Bjornstad, Petter M., Blanc, Victoria M., Blank, Kristina N., Bledsoe, Sharon, Boada, Patrick, Bogen, Steve, Bomback, Andrew S., Bonevich, Nikole, Borner, Katy, Brown, Keith, Bueckle, Andreas, Burg, Ashley R., Burgess, Adam, Bush, Lakeshia, Bush, William S., Campbell, Catherine E., Campbell, Taneisha, Canetta, Pietro A., Cantley, Lloyd G., Caprioli, Richard M., Carson, Jonas, Chen, Sarah, Chen, Yijiang M., Cheng, Yinghua, Cimino, Jim, Colona, Mia R., Conser, Ninive C., Cooperman, Leslie, Crawford, Dana C., DʼAgati, Vivette D., Dagher, Pierre C., Daniel, Stephen, Daratha, Kenn, de Boer, Ian H., Diettman, Sabine M., Dighe, Ashveena L., Donohoe, Isabel, Dowd, Frederick, Dunn, Kenneth W., Eadon, Michael T., Eddy, Sean, Elder, Michele M., Ferkowicz, Michael J., Frey, Renee, Gadegbeku, Crystal A., Gaut, Joseph P., Gilliam, Matthew, Ginley, Brandon, Gisch, Debora, Goltsev, Yury, Gonzalez-Vicente, Agustin, Greka, Anna, Grewenow, Stephanie M., Hacohen, Nir, Hall, Daniel E., Hansen, Jens, Hayashi, Lynda, He, Cijang, He, Yougqun, Hedayati, S. Susan, Henderson, Joel M., Hendricks, Allen H., Herlitz, Leal, Herr, Bruce W., Himmelfarb, Jonathan, Hodgin, Jeffrey B., Hoofnagle, Andrew N., Hoover, Paul J., Ilori, Titlayo, Iyengar, Ravi, Jain, Sanjay, Jain, Yashvardhan, Janowczyk, Andrew, Jefferson, Nichole, Johansen, Camille, Jolly, Stacey, Kakade, Vijaykumar R., Kellum, John A., Kelly, Katherine J., Kermani, Asra, Kiryluk, Krzysztof, Knight, Richard, Koewler, Robert, Kretzler, Matthias, Kudose, Satoru, Lake, Blue B., Larson, Brandon, Laszik, Zoltan G., Lecker, Stewart H., Lee, Paul J., Lee, Simon C., Lienczewski, Chrysta, Limonte, Christine, Lu, Christopher Y., Lucarelli, Nicholas, Lukowski, Jessica, Luo, Jinghui, Lutnick, Brendon, Ma, Shihong, Madabhushi, Anant, Madhavan, Sethu M., Maikhor, Shana, Mariani, Laura H., Marshall, Jamie L., McClelland, Robyn L., McMahon, Gearoid M., Mehl, Karla, Ferreira, Ricardo Melo, Menez, Steven, Menon, Rajasree, Miller, R. Tyler, Moe, Orson W., Moledina, Dennis, Montellano, Richard, Mooney, Sean D., Morales, Martha Catalina, Mukatash, Tariq, Murugan, Raghavan, Nam, Yunbi, Nguyen, Jane, Nolan, Garry, Oʼtoole, John, Oliver, George (Holt), Onul, Ingrid, Otto, Edgar, Palevsky, Paul M., Palmer, Ellen, Pamreddy, Annapurna, Parikh, Chirag R., Parikh, Samir, Park, Christopher, Park, Harold, Pasa-Tolic, Ljiljana, Patel, Jiten, Patterson, Nathan, Phuong, Jim, Pillai, Anil, Pinkeney, Roy, Poggio, Emilio, Pollack, Ari, Prasad, Pottumarthi, Pyle, Laura, Quardokus, Ellen M., Randhawa, Parmjeet, Rauchman, Michael I., Record, Elizabeth, Rennke, Helmut, Rezaei, Kasra, Rike, Adele, Rivera, Marcelino, Roberts, Glenda V., Rosas, Sylvia E., Rosenberg, Avi, Rosengart, Matthew, Rovin, Brad, Roy, Neil, Sabatello, Maya, Sambandam, Kamalanathan, Sarder, Pinaki, Sarkisova, Natalya, Sarwal, Minnie, Saul, John, Schaub, Jennifer, Schmidt, Insa, Sealfon, Rachel, Sedor, John, Sendrey, Dianna, Shang, Ning, Shankland, Stuart, Shapiro, John P., Sharma, Kumar, Sharman, Kavya, Shaw, Melissa M., Shi, Tiffany, Shpigel, Anna, Sigdel, Tara, Slade, Austen, Snyder, Jamie, Spates-Harden, Kassandra, Spraggins, Jeffrey M., Srivastava, Anand, Steck, Becky, Stillman, Isaac, Stutzke, Christy, Su, Jing, Sun, Jennifer, Sutton, Timothy A., Taliercio, Jonathan, Tan, Roderick, Torrealba, Jose, Toto, Robert D., Troyanskaya, Olga, Tublin, Mitchell, Tuttle, Katherine R., Ugwuowo, Ugochukwu, Valerius, M. Todd, Van de Plas, Raf, Varela, German, Vazquez, Miguel, Velickovic, Dusan, Venkatachalam, Manjeri, Verma, Ashish, Victoria-Castro, Angela M., Vijayan, Anitha, Corona-Villalobos, Celia P., Vinovskis, Carissa, Viswanathan, Vidya S., Vita, Tina, Waikar, Sushrut, Wang, Ashley, Wang, Ruikang, Wang, Nancy, Weins, Astrid, Wen, Natasha, Wen, Yumeng, Wilcox, Adam, Williams, James C., Jr., Kayleen Williams, Williams, Mark, Wilson, Francis P., Winfree, Seth, Winters, James, Wofford, Stephanie, Wong, Aaron, Woodle, E. Steve, Xiong, Yuguang, Xu, Alan, Yadati, Pranav, Ye, Hongping, Yu, Guanghao, Zhang, Dianbo, Zhang, Guanshi, and Zhang, Kun
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- 2024
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10. Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19
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Deng, Jie, Atta, Mo, Bagnasco, Serena M., Ko, Albert, Iwasaki, Akiko, Farhadian, Shelli, Nelson, Allison, Casanovas-Massana, Arnau, White, Elizabeth B., Schulz, Wade, Coppi, Andreas, Young, Patrick, Nunez, Angela, Shepard, Denise, Matos, Irene, Strong, Yvette, Anastasio, Kelly, Brower, Kristina, Kuang, Maxine, Chiorazzi, Michael, Bermejo, Santos, Vijayakumar, Pavithra, Geng, Bertie, Fournier, John, Minasyan, Maksym, Muenker, M. Catherine, Moore, Adam J., Nadkarni, Girish, Menez, Steven, Coca, Steven G., Moledina, Dennis G., Wen, Yumeng, Chan, Lili, Thiessen-Philbrook, Heather, Obeid, Wassim, Garibaldi, Brian T., Azeloglu, Evren U., Ugwuowo, Ugochukwu, Sperati, C. John, Arend, Lois J., Rosenberg, Avi Z., Kaushal, Madhurima, Jain, Sanjay, Wilson, F. Perry, and Parikh, Chirag R.
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- 2023
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11. Patient-Specific Pharmacokinetics and Dasatinib Nephrotoxicity
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Adegbite, Benjamin O., Abramson, Matthew H., Gutgarts, Victoria, Musteata, Florin M., Chauhan, Kinsuk, Muwonge, Alecia N., Meliambro, Kristin A., Salvatore, Steven P., El Ghaity-Beckley, Sebastian, Kremyanskaya, Marina, Marcellino, Bridget, Mascarenhas, John O., Campbell, Kirk N., Chan, Lili, Coca, Steven G., Berman, Ellin M., Jaimes, Edgar A., and Azeloglu, Evren U.
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- 2023
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12. Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity
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Xiong, Yuguang, Liu, Tong, Chen, Tong, Hansen, Jens, Hu, Bin, Chen, Yibang, Jayaraman, Gomathi, Schürer, Stephan, Vidovic, Dusica, Goldfarb, Joseph, Sobie, Eric A., Birtwistle, Marc R., Iyengar, Ravi, Li, Hong, and Azeloglu, Evren U.
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- 2022
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13. Multiscale mapping of transcriptomic signatures for cardiotoxic drugs.
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Hansen, Jens, Xiong, Yuguang, Siddiq, Mustafa M., Dhanan, Priyanka, Hu, Bin, Shewale, Bhavana, Yadaw, Arjun S., Jayaraman, Gomathi, Tolentino, Rosa E., Chen, Yibang, Martinez, Pedro, Beaumont, Kristin G., Sebra, Robert, Vidovic, Dusica, Schürer, Stephan C., Goldfarb, Joseph, Gallo, James M., Birtwistle, Marc R., Sobie, Eric A., and Azeloglu, Evren U.
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SINGULAR value decomposition ,GENE expression ,PROTEIN-tyrosine kinase inhibitors ,GENE expression profiling ,DRUG development - Abstract
Drug-induced gene expression profiles can identify potential mechanisms of toxicity. We focus on obtaining signatures for cardiotoxicity of FDA-approved tyrosine kinase inhibitors (TKIs) in human induced-pluripotent-stem-cell-derived cardiomyocytes, using bulk transcriptomic profiles. We use singular value decomposition to identify drug-selective patterns across cell lines obtained from multiple healthy human subjects. Cellular pathways affected by cardiotoxic TKIs include energy metabolism, contractile, and extracellular matrix dynamics. Projecting these pathways to published single cell expression profiles indicates that TKI responses can be evoked in both cardiomyocytes and fibroblasts. Integration of transcriptomic outlier analysis with whole genomic sequencing of our six cell lines enables us to correctly reidentify a genomic variant causally linked to anthracycline-induced cardiotoxicity and predict genomic variants potentially associated with TKI-induced cardiotoxicity. We conclude that mRNA expression profiles when integrated with publicly available genomic, pathway, and single cell transcriptomic datasets, provide multiscale signatures for cardiotoxicity that could be used for drug development and patient stratification. Using a new computational pipeline for identification of drug-selective transcriptomic responses and FAERS data, the authors identified potential pathways and genomic variants indicative of cancer drug cardiotoxicity in iPSC-derived cardiomyocytes. [ABSTRACT FROM AUTHOR]
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- 2024
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14. Cadherin-11, Sparc-related modular calcium binding protein-2, and Pigment epithelium-derived factor are promising non-invasive biomarkers of kidney fibrosis
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Knight, Richard, Lecker, Stewart H., Stillman, Isaac, Bogen, Steve, Amodu, Afolarin A., Ilori, Titlayo, Maikhor, Shana, Schmidt, Insa M., Beck, Laurence H., Henderson, Joel M., Onul, Ingrid, Verma, Ashish, McMahon, Gearoid M., Valerius, M. Todd, Waikar, Sushrut, Weins, Astrid, Colona, Mia R., Greka, Anna, Hacohen, Nir, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Chen, Yijiang M., Janowczyk, Andrew, Jayapandian, Catherine, Viswanathan, Vidya S., Bush, William S., Crawford, Dana C., Madabhushi, Anant, Bush, Lakeshia, Cooperman, Leslie, Gonzalez-Vicente, Agustin, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’toole, John, Palmer, Ellen, Poggio, Emilio, Sedor, John, Sendrey, Dianna, Spates-Harden, Kassandra, Taliercio, Jonathan, Bjornstad, Petter M., Pyle, Laura, Vinovskis, Carissa, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan M., Bomback, Andrew S., Canetta, Pietro A., D’Agati, Vivette D., Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Shang, Ning, Bansal, Shweta, Alexandrov, Theodore, Rennke, Helmut, El-Achkar, Tarek M., Barwinska, Daria, Bledso, Sharon, Borner, Katy, Bueckle, Andreas, Cheng, Yinghua, Dagher, Pierre C., Dunn, Kenneth W., Eadon, Michael T., Ferkowicz, Michael J., Herr, Bruce W., Kelly, Katherine J., Ferreira, Ricardo Melo, Quardokus, Ellen M., Record, Elizabeth, Rivera, Marcelino, Su, Jing, Sutton, Timothy A., Williams, James C., Jr., Winfree, Seth, Jain, Yashvardhan, Menez, Steven, Parikh, Chirag R., Rosenberg, Avi, Corona-Villalobos, Celia P., Wen, Yumeng, Johansen, Camille, Rosas, Sylvia E., Roy, Neil, Sun, Jennifer, Williams, Mark, Azeloglu, Evren U., Hansen, Jens, He, Cijang, Iyengar, Ravi, Xiong, Yuguang, Prasad, Pottumarthi, Srivastava, Anand, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher R., Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George (Holt), Ardayfio, Joseph, Bebiak, Jack, Brown, Keith, Campbell, Taneisha, Campbell, Catherine E., Hayashi, Lynda, Jefferson, Nichole, Roberts, Glenda V., Saul, John, Shpigel, Anna, Stutzke, Christy, Koewler, Robert, Pinkeney, Roy, Sealfon, Rachel, Troyanskaya, Olga, Wong, Aaron, Tuttle, Katherine R., Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Lucarelli, Nicholas, Lutnick, Brendon, Sarder, Pinaki, Lake, Blue B., Zhang, Kun, Boada, Patrick, Laszik, Zoltan G., Nolan, Garry, Anjani, Kavya, Sarwal, Minnie, Mukatash, Tariq, Sigdel, Tara, Alloway, Rita R., Burg, Ashley R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Ascani, Heather, Balis, Ulysses G.J., Blanc, Victoria M., Conser, Ninive C., Eddy, Sean, Frey, Renee, He, Yougqun, Hodgin, Jeffrey B., Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura H., Menon, Rajasree, Otto, Edgar, Schaub, Jennifer, Steck, Becky, Elder, Michele M., Gilliam, Matthew, Hall, Daniel E., Murugan, Raghavan, Palevsky, Paul M., Randhawa, Parmjeet, Rosengart, Matthew, Tublin, Mitchell, Vita, Tina, Winters, James, Kellum, John A., Alpers, Charles E., Berglund, Ashley, Berry, Brooke, Blank, Kristina N., Carson, Jonas, Daniel, Stephen, De Boer, Ian H., Dighe, Ashveena L., Dowd, Frederick, Grewenow, Stephanie M., Himmelfarb, Jonathan, Hoofnagle, Andrew N., Limonte, Christine, McClelland, Robyn L., Mooney, Sean D., Rezaei, Kasra, Shankland, Stuart, Snyder, Jamie, Wang, Ruikang, Wilcox, Adam, Williams, Kayleen, Park, Christopher, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Hedayati, S. Susan, Kermani, Asra, Lee, Simon C., Lu, Christopher Y., Miller, R. Tyler, Moe, Orson W., Patel, Jiten, Pillai, Anil, Sambandam, Kamalanathan, Torrealba, Jose, Toto, Robert D., Vazquez, Miguel, Wang, Nancy, Wen, Natasha, Zhang, Dianbo, Park, Harold, Caprioli, Richard M., Patterson, Nathan, Sharman, Kavya, Spraggins, Jeffrey M., Van de Plas, Raf, Basta, Jeanine, Diettman, Sabine M., Gaut, Joseph P., Jain, Sanjay, Rauchman, Michael I., Vijayan, Anitha, Cantley, Lloyd G., Kakade, Vijaykumar R., Moledina, Dennis, Shaw, Melissa M., Ugwuowo, Ugochukwu, Wilson, Francis P., Arora, Tanima, Kestenbaum, Bryan R., Alexopoulos, Leonidas G., Palsson, Ragnar, Liu, Jing, Stillman, Isaac E., Rennke, Helmut G., Vaidya, Vishal S., Wu, Haojia, Humphreys, Benjamin D., and Waikar, Sushrut S.
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- 2021
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15. A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization
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Yi, Zhengzi, primary, Xi, Caixia, additional, Menon, Madhav C., additional, Cravedi, Paolo, additional, Tedla, Fasika, additional, Soto, Alan, additional, Sun, Zeguo, additional, Liu, Keyu, additional, Zhang, Jason, additional, Wei, Chengguo, additional, Chen, Man, additional, Wang, Wenlin, additional, Veremis, Brandon, additional, Garcia-barros, Monica, additional, Kumar, Abhishek, additional, Haakinson, Danielle, additional, Brody, Rachel, additional, Azeloglu, Evren U., additional, Gallon, Lorenzo, additional, O’Connell, Philip, additional, Naesens, Maarten, additional, Shapiro, Ron, additional, Colvin, Robert B., additional, Ward, Stephen, additional, Salem, Fadi, additional, and Zhang, Weijia, additional
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- 2023
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16. Open-Source System for Real-Time Functional Assessment of In Vitro Filtration Barriers
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Fallon, Tess K., primary, Zuvin, Merve, additional, Stern, Alan D., additional, Anandakrishnan, Nanditha, additional, Daehn, Ilse S., additional, and Azeloglu, Evren U., additional
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- 2023
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17. Plexin-B2 orchestrates collective stem cell dynamics via actomyosin contractility, cytoskeletal tension and adhesion
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Junqueira Alves, Chrystian, Dariolli, Rafael, Haydak, Jonathan, Kang, Sangjo, Hannah, Theodore, Wiener, Robert J., DeFronzo, Stefanie, Tejero, Rut, Gusella, Gabriele L., Ramakrishnan, Aarthi, Alves Dias, Rodrigo, Wojcinski, Alexandre, Kesari, Santosh, Shen, Li, Sobie, Eric A., Rodrigues Furtado de Mendonça, José Paulo, Azeloglu, Evren U., Zou, Hongyan, and Friedel, Roland H.
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- 2021
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18. Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19
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Menez, Steven, primary, Coca, Steven G., additional, Moledina, Dennis G., additional, Wen, Yumeng, additional, Chan, Lili, additional, Thiessen-Philbrook, Heather, additional, Obeid, Wassim, additional, Garibaldi, Brian T., additional, Azeloglu, Evren U., additional, Ugwuowo, Ugochukwu, additional, Sperati, C. John, additional, Arend, Lois J., additional, Rosenberg, Avi Z., additional, Kaushal, Madhurima, additional, Jain, Sanjay, additional, Wilson, F. Perry, additional, Parikh, Chirag R., additional, Deng, Jie, additional, Atta, Mo, additional, Bagnasco, Serena M., additional, Ko, Albert, additional, Iwasaki, Akiko, additional, Farhadian, Shelli, additional, Nelson, Allison, additional, Casanovas-Massana, Arnau, additional, White, Elizabeth B., additional, Schulz, Wade, additional, Coppi, Andreas, additional, Young, Patrick, additional, Nunez, Angela, additional, Shepard, Denise, additional, Matos, Irene, additional, Strong, Yvette, additional, Anastasio, Kelly, additional, Brower, Kristina, additional, Kuang, Maxine, additional, Chiorazzi, Michael, additional, Bermejo, Santos, additional, Vijayakumar, Pavithra, additional, Geng, Bertie, additional, Fournier, John, additional, Minasyan, Maksym, additional, Muenker, M. Catherine, additional, Moore, Adam J., additional, and Nadkarni, Girish, additional
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- 2023
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19. Abstract P1075: Igf-1 Signaling And Nuclear Localization Of Pdgfralpha Tyrosine Kinase Activity Control The Fibrotic Response Of Mesenchymal Stromal Cells To Myocardial Ischemia
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Santini, Maria Paola P, primary, Ishikawa, Kiyotake, additional, and Azeloglu, Evren U, additional
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- 2023
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20. Dasatinib nephrotoxicity correlates with patient-specific pharmacokinetics
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Adegbite, Benjamin O, primary, Abramson, Matthew H, additional, Gutgarts, Victoria, additional, Musteata, Marcel F, additional, Chauhan, Kinsuk, additional, Muwonge, Alecia N, additional, Meliambro, Kristin A, additional, Salvatore, Steven P, additional, El Ghaity-Beckley, Sebastian, additional, Kremyanskaya, Marina, additional, Marcellino, Bridget K, additional, Mascarenhas, John O, additional, Campbell, Kirk N, additional, Chan, Lili, additional, Coca, Steven G, additional, Berman, Ellin, additional, Jaimes, Edgar A, additional, and Azeloglu, Evren U, additional
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- 2023
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21. Predicting individual-specific cardiotoxicity responses induced by tyrosine kinase inhibitors
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Shim, Jaehee V., primary, Xiong, Yuguang, additional, Dhanan, Priyanka, additional, Dariolli, Rafael, additional, Azeloglu, Evren U., additional, Hu, Bin, additional, Jayaraman, Gomathi, additional, Schaniel, Christoph, additional, Birtwistle, Marc R., additional, Iyengar, Ravi, additional, Dubois, Nicole C., additional, and Sobie, Eric A., additional
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- 2023
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22. KIBRA upregulation increases susceptibility to podocyte injury and glomerular disease progression
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Meliambro, Kristin, primary, Yang, Yanfeng, additional, de Cos, Marina, additional, Rodriguez Ballestas, Estefania, additional, Malkin, Caroline, additional, Haydak, Jonathan, additional, Lee, John R., additional, Salem, Fadi, additional, Mariani, Laura H., additional, Gordon, Ronald E., additional, Basgen, John M., additional, Wen, Huei Hsun, additional, Fu, Jia, additional, Azeloglu, Evren U., additional, He, John Cijiang, additional, Wong, Jenny S., additional, and Campbell, Kirk N., additional
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- 2023
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23. Biochemical network motifs can transduce and process oscillatory information
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Reja, Jamil, primary, Fallon, Tess K., additional, Leader, Andrew M., additional, and Azeloglu, Evren U., additional
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- 2022
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24. A Participant-Centered Approach to Understanding Risks and Benefits of Participation in Research Informed by the Kidney Precision Medicine Project
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Butler, Catherine R., primary, Appelbaum, Paul S., additional, Ascani, Heather, additional, Aulisio, Mark, additional, Campbell, Catherine E., additional, de Boer, Ian H., additional, Dighe, Ashveena L., additional, Hall, Daniel E., additional, Himmelfarb, Jonathan, additional, Knight, Richard, additional, Mehl, Karla, additional, Murugan, Raghavan, additional, Rosas, Sylvia E., additional, Sedor, John R., additional, O’Toole, John F., additional, Tuttle, Katherine R., additional, Waikar, Sushrut S., additional, Freeman, Michael, additional, Alexandrov, Theodore, additional, Alpers, Charles E., additional, Anderton, Christopher R., additional, Ardayfio, Joseph, additional, Arora, Tanima, additional, El-Achkar, Tarek M., additional, Azeloglu, Evren U., additional, Balderes, Olivia, additional, Balis, Ulysses G.J., additional, Bansal, Shweta, additional, Barasch, Jonathan M., additional, Barwinska, Daria, additional, Bebiak, Jack, additional, Blanc, Victoria M., additional, Blank, Kristina N., additional, Bomback, Andrew S., additional, Brown, Keith D., additional, Bush, William S., additional, Campbell, Taneisha, additional, Canetta, Pietro A., additional, Carson, Jonas, additional, Cooperman, Leslie, additional, Crawford, Dana C., additional, D’Agati, Vivette D., additional, Dagher, Pierre C., additional, Daniel, Stephen, additional, Dowd, Frederick, additional, Dunn, Kenneth W., additional, Eadon, Michael T., additional, Eddy, Sean, additional, Elder, Michele M., additional, Ferkowicz, Michael J., additional, Gaut, Joe P., additional, Goltsev, Yury, additional, Gonzalez-Vicente, Agustin, additional, Hacohen, Nir, additional, Hansen, Jens, additional, Hayashi, Lynda, additional, He, Oliver, additional, He, Cijang, additional, Hedayati, S. Susan, additional, Herlitz, Leal, additional, Hodgin, Jeffrey B., additional, Hoofnagle, Andrew N., additional, Hoover, Paul J., additional, Iyengar, Ravi, additional, Jain, Sanjay, additional, Jefferson, Nichole, additional, Jolly, Stacey, additional, Kellum, John A., additional, Kelly, Katherine J., additional, Kermani, Asra, additional, Kiryluk, Krzysztof, additional, Koewler, Robert, additional, Kretzler, Matthias, additional, Lake, Blue B., additional, Laszik, Zoltan G., additional, Lecker, Stewart H., additional, Lee, Simon C., additional, Lienczewski, Chrysta, additional, Lu, Christopher Y., additional, Mariani, Laura H., additional, McClelland, Robyn L., additional, McMahon, Gearoid M., additional, Menez, Steven, additional, Menon, Rajasree, additional, Miller, Tyler, additional, Moe, Orson W., additional, Moledina, Dennis, additional, Mooney, Sean D., additional, Nguyen, Jane, additional, Nolan, Garry, additional, Oliver, George, additional, Otto, Edgar, additional, Palevsky, Paul M., additional, Palmer, Ellen, additional, Pamreddy, Annapurna, additional, Parikh, Chirag R., additional, Parikh, Samir, additional, Park, Christopher, additional, Park, Harold, additional, Pasa-Tolic, Ljiljana, additional, Pinkeney, Roy, additional, Poggio, Emilio, additional, Randhawa, Parmjeet, additional, Rennke, Helmut, additional, Roberts, Glenda V., additional, Rosenberg, Avi, additional, Rosengart, Matthew, additional, Rovin, Brad, additional, Roy, Neil, additional, Sambandam, Kamalanathan, additional, Sarwal, Minnie, additional, Saul, John, additional, Schaub, Jennifer, additional, Sealfon, Rachel, additional, Shang, Ning, additional, Shankland, Stuart, additional, Sharma, Kumar, additional, Shpigel, Anna, additional, Sigdel, Tara, additional, Steck, Becky, additional, Stillman, Isaac, additional, Stutzke, Edith Christine, additional, Sutton, Timothy A., additional, Torrealba, Jose, additional, Toto, Robert D., additional, Troyanskaya, Olga, additional, Tublin, Mitchell, additional, Ugwuowo, Ugochukwu, additional, Vazquez, Miguel, additional, Velickovic, Dusan, additional, Venkatachalam, Manjeri, additional, Vijayan, Anitha, additional, Corona-Villalobos, Celia P., additional, Wang, Nancy, additional, Weins, Astrid, additional, Wilcox, Adam, additional, Williams, Kayleen, additional, Williams, Mark, additional, Wilson, Francis P., additional, Winfree, Seth, additional, Xiong, Yuguang, additional, Zhang, Kun, additional, and Zhang, Guanshi, additional
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- 2022
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25. Integrated single-cell sequencing and histopathological analyses reveal diverse injury and repair responses in a participant with acute kidney injury: a clinical-molecular-pathologic correlation
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Menon, Rajasree, primary, Bomback, Andrew S., additional, Lake, Blue B., additional, Stutzke, Christy, additional, Grewenow, Stephanie M., additional, Menez, Steven, additional, D’Agati, Vivette D., additional, Jain, Sanjay, additional, Knight, Richard, additional, Lecker, Stewart H., additional, Stillman, Isaac, additional, Bogen, Steve, additional, Beck, Laurence H., additional, Waikar, Sushrut, additional, McMahon, Gearoid M., additional, Weins, Astrid, additional, Colona, Mia R., additional, Hacohen, Nir, additional, Hoover, Paul J., additional, Aulisio, Mark, additional, Bush, William S., additional, Crawford, Dana C., additional, O'toole, John, additional, Poggio, Emilio, additional, Sedor, John, additional, Cooperman, Leslie, additional, Jolly, Stacey, additional, Herlitz, Leal, additional, Nguyen, Jane, additional, Gonzalez-Vicente, Agustin, additional, Palmer, Ellen, additional, Sendrey, Dianna, additional, Vinovskis, Carissa, additional, Bjornstad, Petter M., additional, Appelbaum, Paul, additional, Barasch, Jonathan M., additional, D'Agati, Vivette D., additional, Kiryluk, Krzysztof, additional, Mehl, Karla, additional, Canetta, Pietro A., additional, Shang, Ning, additional, Balderes, Olivia, additional, Kudose, Satoru, additional, Bansal, Shweta, additional, Alexandrov, Theodore, additional, Rennke, Helmut, additional, El-Achkar, Tarek M., additional, Cheng, Yinghua, additional, Dagher, Pierre C., additional, Eadon, Michael T., additional, Dunn, Kenneth W., additional, Kelly, Katherine J., additional, Sutton, Timothy A., additional, Barwinska, Daria, additional, Ferkowicz, Michael J., additional, Winfree, Seth, additional, Bledsoe, Sharon, additional, Rivera, Marcelino, additional, Williams, James C., additional, Ferreira, Ricardo Melo, additional, Parikh, Chirag R., additional, Corona-Villalobos, Celia P., additional, Rosenberg, Avi, additional, Rosas, Sylvia E., additional, Roy, Neil, additional, Williams, Mark, additional, Azeloglu, Evren U., additional, He, Cijang, additional, Iyengar, Ravi, additional, Hansen, Jens, additional, Xiong, Yuguang, additional, Rovin, Brad, additional, Parikh, Samir, additional, Shapiro, John P., additional, Anderton, Christopher R., additional, Pasa-Tolic, Ljiljana, additional, Velickovic, Dusan, additional, Lukowski, Jessica, additional, Oliver, George, additional, Ardayfio, Joseph, additional, Bebiak, Jack, additional, Brown, Keith, additional, Campbell, Catherine E., additional, Saul, John, additional, Shpigel, Anna, additional, Koewler, Robert, additional, Campbell, Taneisha, additional, Hayashi, Lynda, additional, Jefferson, Nichole, additional, Roberts, Glenda V., additional, Pinkeney, Roy, additional, Troyanskaya, Olga, additional, Sealfon, Rachel, additional, Tuttle, Katherine R., additional, Goltsev, Yury, additional, Zhang, Kun, additional, Laszik, Zoltan G., additional, Nolan, Garry, additional, Boada, Patrick, additional, Sarwal, Minnie, additional, Sigdel, Tara, additional, Lee, Paul J., additional, Alloway, Rita R., additional, Woodle, E. Steve, additional, Ascani, Heather, additional, Balis, Ulysses G.J., additional, Hodgin, Jeffrey B., additional, Kretzler, Matthias, additional, Lienczewski, Chrysta, additional, Mariani, Laura H., additional, Menon, Rajasree, additional, Steck, Becky, additional, He, Yougqun, additional, Otto, Edgar, additional, Schaub, Jennifer, additional, Blanc, Victoria M., additional, Eddy, Sean, additional, Conser, Ninive C., additional, Luo, Jinghui, additional, Palevsky, Paul M., additional, Rosengart, Matthew, additional, Kellum, John A., additional, Hall, Daniel E., additional, Randhawa, Parmjeet, additional, Tublin, Mitchell, additional, Murugan, Raghavan, additional, Elder, Michele M., additional, Winters, James, additional, Alpers, Charles E., additional, Blank, Kristina N., additional, Carson, Jonas, additional, De Boer, Ian H., additional, Dighe, Ashveena L., additional, Himmelfarb, Jonathan, additional, Mooney, Sean D., additional, Shankland, Stuart, additional, Williams, Kayleen, additional, Park, Christopher, additional, Dowd, Frederick, additional, McClelland, Robyn L., additional, Daniel, Stephen, additional, Hoofnagle, Andrew N., additional, Wilcox, Adam, additional, Sharma, Kumar, additional, Venkatachalam, Manjeri, additional, Zhang, Guanshi, additional, Pamreddy, Annapurna, additional, Ye, Hongping, additional, Montellano, Richard, additional, Toto, Robert D., additional, Vazquez, Miguel, additional, Lee, Simon C., additional, Miller, R. Tyler, additional, Moe, Orson W., additional, Torrealba, Jose, additional, Wang, Nancy, additional, Kermani, Asra, additional, Sambandam, Kamalanathan, additional, Park, Harold, additional, Hedayati, S. Susan, additional, Lu, Christopher Y., additional, Vijayan, Anitha, additional, Gaut, Joseph P., additional, Moledina, Dennis, additional, Wilson, Francis P., additional, Ugwuowo, Ugochukwu, additional, and Arora, Tanima, additional
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- 2022
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26. Integrated single-cell sequencing and histopathological analyses reveal diverse injury and repair responses in a participant with acute kidney injury: a clinical-molecular-pathologic correlation
- Author
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Knight, Richard, Lecker, Stewart H., Stillman, Isaac, Bogen, Steve, Beck, Laurence H., Waikar, Sushrut, McMahon, Gearoid M., Weins, Astrid, Colona, Mia R., Hacohen, Nir, Hoover, Paul J., Aulisio, Mark, Bush, William S., Crawford, Dana C., O'toole, John, Poggio, Emilio, Sedor, John, Cooperman, Leslie, Jolly, Stacey, Herlitz, Leal, Nguyen, Jane, Gonzalez-Vicente, Agustin, Palmer, Ellen, Sendrey, Dianna, Vinovskis, Carissa, Bjornstad, Petter M., Appelbaum, Paul, Barasch, Jonathan M., Bomback, Andrew S., D'Agati, Vivette D., Kiryluk, Krzysztof, Mehl, Karla, Canetta, Pietro A., Shang, Ning, Balderes, Olivia, Kudose, Satoru, Bansal, Shweta, Alexandrov, Theodore, Rennke, Helmut, El-Achkar, Tarek M., Cheng, Yinghua, Dagher, Pierre C., Eadon, Michael T., Dunn, Kenneth W., Kelly, Katherine J., Sutton, Timothy A., Barwinska, Daria, Ferkowicz, Michael J., Winfree, Seth, Bledsoe, Sharon, Rivera, Marcelino, Williams, James C., Jr., Ferreira, Ricardo Melo, Parikh, Chirag R., Corona-Villalobos, Celia P., Menez, Steven, Rosenberg, Avi, Rosas, Sylvia E., Roy, Neil, Williams, Mark, Azeloglu, Evren U., He, Cijang, Iyengar, Ravi, Hansen, Jens, Xiong, Yuguang, Rovin, Brad, Parikh, Samir, Shapiro, John P., Anderton, Christopher R., Pasa-Tolic, Ljiljana, Velickovic, Dusan, Lukowski, Jessica, Oliver, George, Ardayfio, Joseph, Bebiak, Jack, Brown, Keith, Campbell, Catherine E., Saul, John, Shpigel, Anna, Stutzke, Christy, Koewler, Robert, Campbell, Taneisha, Hayashi, Lynda, Jefferson, Nichole, Roberts, Glenda V., Pinkeney, Roy, Troyanskaya, Olga, Sealfon, Rachel, Tuttle, Katherine R., Goltsev, Yury, Zhang, Kun, Lake, Blue B., Laszik, Zoltan G., Nolan, Garry, Boada, Patrick, Sarwal, Minnie, Sigdel, Tara, Lee, Paul J., Alloway, Rita R., Woodle, E. Steve, Ascani, Heather, Balis, Ulysses G.J., Hodgin, Jeffrey B., Kretzler, Matthias, Lienczewski, Chrysta, Mariani, Laura H., Menon, Rajasree, Steck, Becky, He, Yougqun, Otto, Edgar, Schaub, Jennifer, Blanc, Victoria M., Eddy, Sean, Conser, Ninive C., Luo, Jinghui, Palevsky, Paul M., Rosengart, Matthew, Kellum, John A., Hall, Daniel E., Randhawa, Parmjeet, Tublin, Mitchell, Murugan, Raghavan, Elder, Michele M., Winters, James, Alpers, Charles E., Blank, Kristina N., Carson, Jonas, De Boer, Ian H., Dighe, Ashveena L., Himmelfarb, Jonathan, Mooney, Sean D., Shankland, Stuart, Williams, Kayleen, Park, Christopher, Dowd, Frederick, McClelland, Robyn L., Daniel, Stephen, Hoofnagle, Andrew N., Wilcox, Adam, Grewenow, Stephanie M., Sharma, Kumar, Venkatachalam, Manjeri, Zhang, Guanshi, Pamreddy, Annapurna, Ye, Hongping, Montellano, Richard, Toto, Robert D., Vazquez, Miguel, Lee, Simon C., Miller, R. Tyler, Moe, Orson W., Torrealba, Jose, Wang, Nancy, Kermani, Asra, Sambandam, Kamalanathan, Park, Harold, Hedayati, S. Susan, Lu, Christopher Y., Jain, Sanjay, Vijayan, Anitha, Gaut, Joseph P., Moledina, Dennis, Wilson, Francis P., Ugwuowo, Ugochukwu, Arora, Tanima, and D’Agati, Vivette D.
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- 2022
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27. Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection
- Author
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Paranjpe, Ishan, primary, Jayaraman, Pushkala, additional, Su, Chen-Yang, additional, Zhou, Sirui, additional, Chen, Steven, additional, Thompson, Ryan, additional, Del Valle, Diane Marie, additional, Kenigsberg, Ephraim, additional, Zhao, Shan, additional, Jaladanki, Suraj, additional, Chaudhary, Kumardeep, additional, Ascolillo, Steven, additional, Vaid, Akhil, additional, Kumar, Arvind, additional, Kozlova, Edgar, additional, Paranjpe, Manish, additional, O’Hagan, Ross, additional, Kamat, Samir, additional, Gulamali, Faris F., additional, Kauffman, Justin, additional, Xie, Hui, additional, Harris, Joceyln, additional, Patel, Manishkumar, additional, Argueta, Kimberly, additional, Batchelor, Craig, additional, Nie, Kai, additional, Dellepiane, Sergio, additional, Scott, Leisha, additional, Levin, Matthew A, additional, He, John Cijiang, additional, Suarez-Farinas, Mayte, additional, Coca, Steven G, additional, Chan, Lili, additional, Azeloglu, Evren U, additional, Schadt, Eric, additional, Beckmann, Noam, additional, Gnjatic, Sacha, additional, Merad, Miram, additional, Kim-Schulze, Seunghee, additional, Richards, Brent, additional, Glicksberg, Benjamin S, additional, Charney, Alexander W, additional, and Nadkarni, Girish N, additional
- Published
- 2021
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28. A library of induced pluripotent stem cells from clinically well-characterized, diverse healthy human individuals
- Author
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Schaniel, Christoph, primary, Dhanan, Priyanka, additional, Hu, Bin, additional, Xiong, Yuguang, additional, Raghunandan, Teeya, additional, Gonzalez, David M., additional, Dariolli, Rafael, additional, D'Souza, Sunita L., additional, Yadaw, Arjun S., additional, Hansen, Jens, additional, Jayaraman, Gomathi, additional, Mathew, Bino, additional, Machado, Moara, additional, Berger, Seth I., additional, Tripodi, Joseph, additional, Najfeld, Vesna, additional, Garg, Jalaj, additional, Miller, Marc, additional, Surlyn, Colleen S., additional, Michelis, Katherine C., additional, Tangirala, Neelima C., additional, Weerahandi, Himali, additional, Thomas, David C., additional, Beaumont, Kristin G., additional, Sebra, Robert, additional, Mahajan, Milind, additional, Schadt, Eric, additional, Vidovic, Dusica, additional, Schürer, Stephan C., additional, Goldfarb, Joseph, additional, Azeloglu, Evren U., additional, Birtwistle, Marc R., additional, Sobie, Eric A., additional, Kovacic, Jason C., additional, Dubois, Nicole C., additional, and Iyengar, Ravi, additional
- Published
- 2021
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29. Multiscale mapping of transcriptomic signatures for cardiotoxic drugs
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Hansen, Jens, primary, Xiong, Yuguang, additional, Dhanan, Priyanka, additional, Hu, Bin, additional, Yadaw, Arjun S., additional, Jayaraman, Gomathi, additional, Tolentino, Rosa, additional, Chen, Yibang, additional, Beaumont, Kristin G., additional, Sebra, Robert, additional, Vidovic, Dusica, additional, Schürer, Stephan C., additional, Goldfarb, Joseph, additional, Gallo, James, additional, Birtwistle, Marc R., additional, Sobie, Eric A., additional, Azeloglu, Evren U., additional, Berger, Seth, additional, Chan, Angel, additional, Schaniel, Christoph, additional, Dubois, Nicole C., additional, and Iyengar, Ravi, additional
- Published
- 2021
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30. Cadherin-11, Sparc-related modular calcium binding protein-2, and Pigment epithelium-derived factor are promising non-invasive biomarkers of kidney fibrosis
- Author
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Schmidt, Insa M., primary, Colona, Mia R., additional, Kestenbaum, Bryan R., additional, Alexopoulos, Leonidas G., additional, Palsson, Ragnar, additional, Srivastava, Anand, additional, Liu, Jing, additional, Stillman, Isaac E., additional, Rennke, Helmut G., additional, Vaidya, Vishal S., additional, Wu, Haojia, additional, Humphreys, Benjamin D., additional, Waikar, Sushrut S., additional, Knight, Richard, additional, Lecker, Stewart H., additional, Stillman, Isaac, additional, Bogen, Steve, additional, Amodu, Afolarin A., additional, Ilori, Titlayo, additional, Maikhor, Shana, additional, Schmidt, Insa M., additional, Beck, Laurence H., additional, Henderson, Joel M., additional, Onul, Ingrid, additional, Verma, Ashish, additional, McMahon, Gearoid M., additional, Valerius, M. Todd, additional, Waikar, Sushrut, additional, Weins, Astrid, additional, Greka, Anna, additional, Hacohen, Nir, additional, Hoover, Paul J., additional, Marshall, Jamie L., additional, Aulisio, Mark, additional, Chen, Yijiang M., additional, Janowczyk, Andrew, additional, Jayapandian, Catherine, additional, Viswanathan, Vidya S., additional, Bush, William S., additional, Crawford, Dana C., additional, Madabhushi, Anant, additional, Bush, Lakeshia, additional, Cooperman, Leslie, additional, Gonzalez-Vicente, Agustin, additional, Herlitz, Leal, additional, Jolly, Stacey, additional, Nguyen, Jane, additional, O’toole, John, additional, Palmer, Ellen, additional, Poggio, Emilio, additional, Sedor, John, additional, Sendrey, Dianna, additional, Spates-Harden, Kassandra, additional, Taliercio, Jonathan, additional, Bjornstad, Petter M., additional, Pyle, Laura, additional, Vinovskis, Carissa, additional, Appelbaum, Paul, additional, Balderes, Olivia, additional, Barasch, Jonathan M., additional, Bomback, Andrew S., additional, Canetta, Pietro A., additional, D’Agati, Vivette D., additional, Kiryluk, Krzysztof, additional, Kudose, Satoru, additional, Mehl, Karla, additional, Shang, Ning, additional, Bansal, Shweta, additional, Alexandrov, Theodore, additional, Rennke, Helmut, additional, El-Achkar, Tarek M., additional, Barwinska, Daria, additional, Bledso, Sharon, additional, Borner, Katy, additional, Bueckle, Andreas, additional, Cheng, Yinghua, additional, Dagher, Pierre C., additional, Dunn, Kenneth W., additional, Eadon, Michael T., additional, Ferkowicz, Michael J., additional, Herr, Bruce W., additional, Kelly, Katherine J., additional, Ferreira, Ricardo Melo, additional, Quardokus, Ellen M., additional, Record, Elizabeth, additional, Rivera, Marcelino, additional, Su, Jing, additional, Sutton, Timothy A., additional, Williams, James C., additional, Winfree, Seth, additional, Jain, Yashvardhan, additional, Menez, Steven, additional, Parikh, Chirag R., additional, Rosenberg, Avi, additional, Corona-Villalobos, Celia P., additional, Wen, Yumeng, additional, Johansen, Camille, additional, Rosas, Sylvia E., additional, Roy, Neil, additional, Sun, Jennifer, additional, Williams, Mark, additional, Azeloglu, Evren U., additional, Hansen, Jens, additional, He, Cijang, additional, Iyengar, Ravi, additional, Xiong, Yuguang, additional, Prasad, Pottumarthi, additional, Madhavan, Sethu M., additional, Parikh, Samir, additional, Rovin, Brad, additional, Shapiro, John P., additional, Anderton, Christopher R., additional, Lukowski, Jessica, additional, Pasa-Tolic, Ljiljana, additional, Velickovic, Dusan, additional, Oliver, George (Holt), additional, Ardayfio, Joseph, additional, Bebiak, Jack, additional, Brown, Keith, additional, Campbell, Taneisha, additional, Campbell, Catherine E., additional, Hayashi, Lynda, additional, Jefferson, Nichole, additional, Roberts, Glenda V., additional, Saul, John, additional, Shpigel, Anna, additional, Stutzke, Christy, additional, Koewler, Robert, additional, Pinkeney, Roy, additional, Sealfon, Rachel, additional, Troyanskaya, Olga, additional, Wong, Aaron, additional, Tuttle, Katherine R., additional, Pollack, Ari, additional, Goltsev, Yury, additional, Ginley, Brandon, additional, Lucarelli, Nicholas, additional, Lutnick, Brendon, additional, Sarder, Pinaki, additional, Lake, Blue B., additional, Zhang, Kun, additional, Boada, Patrick, additional, Laszik, Zoltan G., additional, Nolan, Garry, additional, Anjani, Kavya, additional, Sarwal, Minnie, additional, Mukatash, Tariq, additional, Sigdel, Tara, additional, Alloway, Rita R., additional, Burg, Ashley R., additional, Lee, Paul J., additional, Rike, Adele, additional, Shi, Tiffany, additional, Woodle, E. Steve, additional, Ascani, Heather, additional, Balis, Ulysses G.J., additional, Blanc, Victoria M., additional, Conser, Ninive C., additional, Eddy, Sean, additional, Frey, Renee, additional, He, Yougqun, additional, Hodgin, Jeffrey B., additional, Kretzler, Matthias, additional, Lienczewski, Chrysta, additional, Luo, Jinghui, additional, Mariani, Laura H., additional, Menon, Rajasree, additional, Otto, Edgar, additional, Schaub, Jennifer, additional, Steck, Becky, additional, Elder, Michele M., additional, Gilliam, Matthew, additional, Hall, Daniel E., additional, Murugan, Raghavan, additional, Palevsky, Paul M., additional, Randhawa, Parmjeet, additional, Rosengart, Matthew, additional, Tublin, Mitchell, additional, Vita, Tina, additional, Winters, James, additional, Kellum, John A., additional, Alpers, Charles E., additional, Berglund, Ashley, additional, Berry, Brooke, additional, Blank, Kristina N., additional, Carson, Jonas, additional, Daniel, Stephen, additional, De Boer, Ian H., additional, Dighe, Ashveena L., additional, Dowd, Frederick, additional, Grewenow, Stephanie M., additional, Himmelfarb, Jonathan, additional, Hoofnagle, Andrew N., additional, Limonte, Christine, additional, McClelland, Robyn L., additional, Mooney, Sean D., additional, Rezaei, Kasra, additional, Shankland, Stuart, additional, Snyder, Jamie, additional, Wang, Ruikang, additional, Wilcox, Adam, additional, Williams, Kayleen, additional, Park, Christopher, additional, Montellano, Richard, additional, Pamreddy, Annapurna, additional, Sharma, Kumar, additional, Venkatachalam, Manjeri, additional, Ye, Hongping, additional, Zhang, Guanshi, additional, Basit, Mujeeb, additional, Hedayati, S. Susan, additional, Kermani, Asra, additional, Lee, Simon C., additional, Lu, Christopher Y., additional, Miller, R. Tyler, additional, Moe, Orson W., additional, Patel, Jiten, additional, Pillai, Anil, additional, Sambandam, Kamalanathan, additional, Torrealba, Jose, additional, Toto, Robert D., additional, Vazquez, Miguel, additional, Wang, Nancy, additional, Wen, Natasha, additional, Zhang, Dianbo, additional, Park, Harold, additional, Caprioli, Richard M., additional, Patterson, Nathan, additional, Sharman, Kavya, additional, Spraggins, Jeffrey M., additional, Van de Plas, Raf, additional, Basta, Jeanine, additional, Diettman, Sabine M., additional, Gaut, Joseph P., additional, Jain, Sanjay, additional, Rauchman, Michael I., additional, Vijayan, Anitha, additional, Cantley, Lloyd G., additional, Kakade, Vijaykumar R., additional, Moledina, Dennis, additional, Shaw, Melissa M., additional, Ugwuowo, Ugochukwu, additional, Wilson, Francis P., additional, and Arora, Tanima, additional
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- 2021
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31. Machine Learning-Based Multi-Omics Analyses Predict Disease Severity and Identify Molecular Mechanisms of COVID-Associated Kidney Injury
- Author
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Anandakrishnan, Nanditha, Yi, Zhengzi, Liu, Tong, Sun, Zeguo, Haydak, Jonathan C., Kretzler, Matthias, Li, Hong, Nadkarni, Girish N., Chan, Lili, Zhang, Weijia, and Azeloglu, Evren U.
- Published
- 2023
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32. Integrative Systems Analysis of Calcineurin Inhibitor Action on Podocytes and Proximal Tubular Epithelial Cells
- Author
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Mendoza, Anthony, Santini, Maria Paola, Wong, Jenny, Rehaume, Linda M., Viel, John, Campbell, Kirk N., and Azeloglu, Evren U.
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- 2023
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33. A high-throughput microfabricated platform for rapid quantification of metastatic potential.
- Author
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Bhattacharya S, Ettela A, Haydak J, Hobson CM, Stern A, Yoo M, Chew TL, Gusella GL, Gallagher EJ, Hone JC, and Azeloglu EU
- Subjects
- Humans, Cell Line, Tumor, Microtechnology methods, Cell Proliferation, Neoplasm Invasiveness, High-Throughput Screening Assays methods, Lab-On-A-Chip Devices, Neoplasms pathology, Cell Movement, Neoplasm Metastasis
- Abstract
Assays that measure morphology, proliferation, motility, deformability, and migration are used to study the invasiveness of cancer cells. However, native invasive potential of cells may be hidden from these contextual metrics because they depend on culture conditions. We created a micropatterned chip that mimics the native environmental conditions, quantifies the invasive potential of tumor cells, and improves our understanding of the malignancy signatures. Unlike conventional assays, which rely on indirect measurements of metastatic potential, our method uses three-dimensional microchannels to measure the basal native invasiveness without chemoattractants or microfluidics. No change in cell death or proliferation is observed on our chips. Using six cancer cell lines, we show that our system is more sensitive than other motility-based assays, measures of nuclear deformability, or cell morphometrics. In addition to quantifying metastatic potential, our platform can distinguish between motility and invasiveness, help study molecular mechanisms of invasion, and screen for targeted therapeutics.
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- 2024
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34. Integrated multiomics implicates dysregulation of ECM and cell adhesion pathways as drivers of severe COVID-associated kidney injury.
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Anandakrishnan N, Yi Z, Sun Z, Liu T, Haydak J, Eddy S, Jayaraman P, DeFronzo S, Saha A, Sun Q, Yang D, Mendoza A, Mosoyan G, Wen HH, Schaub JA, Fu J, Kehrer T, Menon R, Otto EA, Godfrey B, Suarez-Farinas M, Leffters S, Twumasi A, Meliambro K, Charney AW, García-Sastre A, Campbell KN, Gusella GL, He JC, Miorin L, Nadkarni GN, Wisnivesky J, Li H, Kretzler M, Coca SG, Chan L, Zhang W, and Azeloglu EU
- Abstract
COVID-19 has been a significant public health concern for the last four years; however, little is known about the mechanisms that lead to severe COVID-associated kidney injury. In this multicenter study, we combined quantitative deep urinary proteomics and machine learning to predict severe acute outcomes in hospitalized COVID-19 patients. Using a 10-fold cross-validated random forest algorithm, we identified a set of urinary proteins that demonstrated predictive power for both discovery and validation set with 87% and 79% accuracy, respectively. These predictive urinary biomarkers were recapitulated in non-COVID acute kidney injury revealing overlapping injury mechanisms. We further combined orthogonal multiomics datasets to understand the mechanisms that drive severe COVID-associated kidney injury. Functional overlap and network analysis of urinary proteomics, plasma proteomics and urine sediment single-cell RNA sequencing showed that extracellular matrix and autophagy-associated pathways were uniquely impacted in severe COVID-19. Differentially abundant proteins associated with these pathways exhibited high expression in cells in the juxtamedullary nephron, endothelial cells, and podocytes, indicating that these kidney cell types could be potential targets. Further, single-cell transcriptomic analysis of kidney organoids infected with SARS-CoV-2 revealed dysregulation of extracellular matrix organization in multiple nephron segments, recapitulating the clinically observed fibrotic response across multiomics datasets. Ligand-receptor interaction analysis of the podocyte and tubule organoid clusters showed significant reduction and loss of interaction between integrins and basement membrane receptors in the infected kidney organoids. Collectively, these data suggest that extracellular matrix degradation and adhesion-associated mechanisms could be a main driver of COVID-associated kidney injury and severe outcomes.
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- 2024
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35. Deep learning on electronic medical records identifies distinct subphenotypes of diabetic kidney disease driven by genetic variations in the Rho pathway.
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Paranjpe I, Wang X, Anandakrishnan N, Haydak JC, Van Vleck T, DeFronzo S, Li Z, Mendoza A, Liu R, Fu J, Forrest I, Zhou W, Lee K, O'Hagan R, Dellepiane S, Menon KM, Gulamali F, Kamat S, Gusella GL, Charney AW, Hofer I, Cho JH, Do R, Glicksberg BS, He JC, Nadkarni GN, and Azeloglu EU
- Abstract
Kidney disease affects 50% of all diabetic patients; however, prediction of disease progression has been challenging due to inherent disease heterogeneity. We use deep learning to identify novel genetic signatures prognostically associated with outcomes. Using autoencoders and unsupervised clustering of electronic health record data on 1,372 diabetic kidney disease patients, we establish two clusters with differential prevalence of end-stage kidney disease. Exome-wide associations identify a novel variant in ARHGEF18, a Rho guanine exchange factor specifically expressed in glomeruli. Overexpression of ARHGEF18 in human podocytes leads to impairments in focal adhesion architecture, cytoskeletal dynamics, cellular motility, and RhoA/Rac1 activation. Mutant GEF18 is resistant to ubiquitin mediated degradation leading to pathologically increased protein levels. Our findings uncover the first known disease-causing genetic variant that affects protein stability of a cytoskeletal regulator through impaired degradation, a potentially novel class of expression quantitative trait loci that can be therapeutically targeted.
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- 2023
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36. Dasatinib nephrotoxicity correlates with patient-specific pharmacokinetics.
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Adegbite BO, Abramson MH, Gutgarts V, Musteata MF, Chauhan K, Muwonge AN, Meliambro KA, Salvatore SP, Ghaity-Beckley SE, Kremyanskaya M, Marcellino B, Mascarenhas JO, Campbell KN, Chan L, Coca SG, Berman EM, Jaimes EA, and Azeloglu EU
- Abstract
Introduction: Dasatinib has been associated with nephrotoxicity. We sought to examine the incidence of proteinuria on dasatinib and determine potential risk factors that may increase dasatinib-associated glomerular injury., Methods: We examine glomerular injury via urine albumin-to-creatinine ratio (UACR) in 101 chronic myelogenous leukemia patients who were on tyrosine-kinase inhibitor (TKI) therapy for at least 90 days. We assay plasma dasatinib pharmacokinetics using tandem mass spectroscopy, and further describe a case study of a patient who experienced nephrotic-range proteinuria while on dasatinib., Results: Patients treated with dasatinib (n= 32) had significantly higher UACR levels (median 28.0 mg/g, IQR 11.5 - 119.5) than patients treated with other TKIs (n=50; median 15.0 mg/g, IQR 8.0 - 35.0; p < 0.001). In total, 10% of dasatinib users exhibited severely increased albuminuria (UACR > 300 mg/g) versus zero in other TKIs. Average steady state concentrations of dasatinib were positively correlated with UACR (ρ = 0.54, p = 0.03) as well as duration of treatment ( p =0.003). There were no associations with elevated blood pressure or other confounding factors. In the case study, kidney biopsy revealed global glomerular damage with diffuse foot process effacement that recovered upon termination of dasatinib treatment., Conclusions: Exposure to dasatinib is associated a significant chance of developing proteinuria compared to other similar TKIs. Dasatinib plasma concentration significantly correlates with increased risk of developing proteinuria while receiving dasatinib. Screening for renal dysfunction and proteinuria is strongly advised for all dasatinib patients.
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- 2023
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37. Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection.
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Paranjpe I, Jayaraman P, Su CY, Zhou S, Chen S, Thompson R, Del Valle DM, Kenigsberg E, Zhao S, Jaladanki S, Chaudhary K, Ascolillo S, Vaid A, Kumar A, Kozlova E, Paranjpe M, O'Hagan R, Kamat S, Gulamali FF, Kauffman J, Xie H, Harris J, Patel M, Argueta K, Batchelor C, Nie K, Dellepiane S, Scott L, Levin MA, He JC, Suarez-Farinas M, Coca SG, Chan L, Azeloglu EU, Schadt E, Beckmann N, Gnjatic S, Merad M, Kim-Schulze S, Richards B, Glicksberg BS, Charney AW, and Nadkarni GN
- Abstract
Acute kidney injury (AKI) is a known complication of COVID-19 and is associated with an increased risk of in-hospital mortality. Unbiased proteomics using biological specimens can lead to improved risk stratification and discover pathophysiological mechanisms. Using measurements of ∼4000 plasma proteins in two cohorts of patients hospitalized with COVID-19, we discovered and validated markers of COVID-associated AKI (stage 2 or 3) and long-term kidney dysfunction. In the discovery cohort (N= 437), we identified 413 higher plasma abundances of protein targets and 40 lower plasma abundances of protein targets associated with COVID-AKI (adjusted p <0.05). Of these, 62 proteins were validated in an external cohort (p <0.05, N =261). We demonstrate that COVID-AKI is associated with increased markers of tubular injury (NGAL) and myocardial injury. Using estimated glomerular filtration (eGFR) measurements taken after discharge, we also find that 25 of the 62 AKI-associated proteins are significantly associated with decreased post-discharge eGFR (adjusted p <0.05). Proteins most strongly associated with decreased post-discharge eGFR included desmocollin-2, trefoil factor 3, transmembrane emp24 domain-containing protein 10, and cystatin-C indicating tubular dysfunction and injury. Using clinical and proteomic data, our results suggest that while both acute and long-term COVID-associated kidney dysfunction are associated with markers of tubular dysfunction, AKI is driven by a largely multifactorial process involving hemodynamic instability and myocardial damage.
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- 2022
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