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2. Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging

Author

Hickey, John W., Neumann, Elizabeth K., Radtke, Andrea J., Camarillo, Jeannie M., Beuschel, Rebecca T., Albanese, Alexandre, McDonough, Elizabeth, Hatler, Julia, Wiblin, Anne E., Fisher, Jeremy, Croteau, Josh, Small, Eliza C., Sood, Anup, Caprioli, Richard M., Angelo, R. Michael, Nolan, Garry P., Chung, Kwanghun, Hewitt, Stephen M., Germain, Ronald N., Spraggins, Jeffrey M., Lundberg, Emma, Snyder, Michael P., Kelleher, Neil L., and Saka, Sinem K.

Subjects
Quantitative Biology - Tissues and Organs
Abstract

Tissues and organs are composed of distinct cell types that must operate in concert to perform physiological functions. Efforts to create high-dimensional biomarker catalogs of these cells are largely based on transcriptomic single-cell approaches that lack the spatial context required to understand critical cellular communication and correlated structural organization. To probe in situ biology with sufficient coverage depth, several multiplexed protein imaging methods have recently been developed. Though these antibody-based technologies differ in strategy and mode of immunolabeling and detection tags, they commonly utilize antibodies directed against protein biomarkers to provide detailed spatial and functional maps of complex tissues. As these promising antibody-based multiplexing approaches become more widely adopted, new frameworks and considerations are critical for training future users, generating molecular tools, validating antibody panels, and harmonizing datasets. In this perspective, we provide essential resources and key considerations for obtaining robust and reproducible multiplexed antibody-based imaging data compiling specialized knowledge from domain experts and technology developers., Comment: {\ddag}authors contributed equally to this work

Published
2021

3. Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project

Author

Lake, Blue, Zhang, Kun, Lecker, Stewart, Morales, Alexander, Bogen, Steve, Amodu, Afolarin A., Beck, Laurence, Henderson, Joel, Ilori, Titlayo, Maikhor, Shana, Onul, Ingrid, Schmidt, Insa, Verma, Ashish, Waikar, Sushrut, Yadati, Pranav, Yu, Guanghao, Colona, Mia R., McMahon, Gearoid, Hacohen, Nir, Greka, Anna, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Bush, William, Chen, Yijiang, Crawford, Dana, Madabhushi, Anant, Viswanathan, Vidya S., Bush, Lakeshia, Cooperman, Leslie, Gadegbeku, Crystal, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’Malley, Charles, O’Toole, John, Palmer, Ellen, Poggio, Emilio, Spates-Harden, Kassandra, Sedor, John, Sendrey, Dianna, Taliercio, Jonathan, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Berroue, Cecilia, Bomback, Andrew, Canetta, Pietro A., D’Agati, Vivette, Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Sabatello, Maya, Shang, Ning, de Pinho Gonçalves, Joana, Lardenoije, Roy, Migas, Lukasz, Van de Plas, Raf, Rennke, Helmut, Azeloglu, Evren, Campbell, Kirk, Coca, Steven, He, Cijang, He, John, Iyengar, Srinivas Ravi, Lefferts, Seanee, Nadkarni, Girish, Patel, Marissa, Tokita, Joji, Ward, Stephen, Xiong, Yuguang, Verdoes, Abraham, Sabo, Angela, Barwinska, Daria, Gisch, Debora Lidia, Williams, James, Kelly, Katherine, Dunn, Kenneth, Asghari, Mahla, Eadon, Michael, Ferkowicz, Michael, Dagher, Pierre, Ferreira, Ricardo Melo, Winfree, Seth, Bledsoe, Sharon, Wofford, Stephanie, El-Achkar, Tarek, Sutton, Timothy, Bowen, William, Cheng, Ying-Hua, Slade, Austen, Record, Elizabeth, Cheng, Yinghua, Borner, Katy, Herr, Bruce, Jain, Yashvardhan, Quardokus, Ellen, Atta, Mohamed, Bernard, Lauren, Menez, Steven, Parikh, Chirag, Corona Villalobos, Celia Pamela, Wang, Ashley, Wen, Yumeng, Xu, Alan, Chen, Sarah, Donohoe, Isabel, Johansen, Camille, Rosas, Sylvia, Sun, Jennifer, Ardayfio, Joseph, Bebiak, Jack, Campbell, Taneisha, Fox, Monica, Knight, Richard, Koewler, Robert, Pinkeney, Roy, Saul, John, Shpigel, Anna, Prasad, Pottumarthi, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher, Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George, Mao, Weiguang, Sealfon, Rachel, Troyanskaya, Olga, Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Anjani, Kavya, Laszik, Zoltan G., Mukatash, Tariq, Nolan, Garry, Beyda, David, Bracamonte, Erika, Brosius, Frank, Campos, Baltazar, Marquez, Nicole, Mendoza, Katherine, Scott, Raymond, Thajudeen, Bijin, Tsosie, Rebecca, Woodhead, Gregory, Saunders, Milda, Alloway, Rita R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Bjornstad, Petter, Hsieh, Elena, Kendrick, Jessica, Pyle, Laura, Thurman, Joshua, Vinovskis, Carissa, Wrobel, Julia, Lucarelli, Nicholas, Sarder, Pinaki, Bui, James, Carmona-Powell; Ron Gaba, Eunice, Kelly, Tanika, Lash, James, Meza, Natalie, Redmond, Devona, Renteria, Amada, Ricardo, Ana, Setty, Suman, Srivastava, Anand, Alakwaa, Fadhl, Ascani, Heather, Balis, Ul, Bitzer, Markus, Blanc, Victoria, Bonevich, Nikki, Conser, Ninive, Demeke, Dawit, Dull, Rachel, Eddy, Sean, Frey, Renee, Hartman, John, He, Yongqun Oliver, Hodgin, Jeffrey, Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura, McCown, Phillip, Menon, Rajasree, Nair, Viji, Otto, Edgar, Reamy, Rebecca, Rose, Michael, Schaub, Jennifer, Steck, Becky, Wright, Zachary, Coleman, Alyson, Henderson-Brown; Jerica Berge, Dorisann, Caramori, Maria Luiza, Adeyi, Oyedele, Nachman, Patrick, Safadi, Sami, Flanagan, Siobhan, Ma, Sisi, Klett, Susan, Wolf, Susan, Harindhanavudhi, Tasma, Rao, Via, Bream, Peter, Froment, Anne, Kelley, Sara, Mottl, Amy, Chaudhury; Evan Zeitler, Prabir Roy, Bender, Filitsa, Elder, Michele, Gilliam, Matthew, Hall, Daniel E., Kellum, John A., Murugan, Raghavan, Palevsky, Paul, Rosengart, Matthew, Tan, Roderick, Tublin, Mitchell, Winters, James, Bansal, Shweta, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Cai, Qi, Hendricks, Allen, Hedayati, Susan, Kermani, Asra, Lee, Simon C., Ma, Shihong, Miller, Richard Tyler, Moe, Orson W., Park, Harold, Patel, Jiten, Pillai, Anil, Sambandam, Kamalanathan, Torrealba, Jose, Toto, Robert D., Vazquez, Miguel, Wang, Nancy, Wen, Natasha, Zhang, Dianbo, Alpers, Charles, Berglund, Ashley, Berry, Brooke, Blank, Kristina, Brown, Keith, Carson, Jonas, Daniel, Stephen, de Boer, Ian H., Dighe, Ashveena L., Dowd, Frederick, Grewenow, Stephanie M., Himmelfarb, Jonathan, Hoofnagle, Andrew, Jefferson, Nichole, Larson, Brandon, Limonte, Christine, McClelland, Robyn, Mooney, Sean, Nam, Yunbi, Park, Christopher, Phuong, Jimmy, Rezaei, Kasra, Roberts, Glenda, Sarkisova, Natalya, Shankland, Stuart, Snyder, Jaime, Stutzke, Christy, Tuttle, Katherine, Wangperawong, Artit, Wilcox, Adam, Williams, Kayleen, Young, Bessie, Allen, Jamie, Caprioli, Richard M., de Caestecker, Mark, Djambazova, Katerina, Dufresne, Martin, Farrow, Melissa, Fogo, Agnes, Sharman, Kavya, Spraggins, Jeffrey, Basta, Jeannine, Conlon, Kristine, Diettman, Sabine M., Gaut, Joseph, Kaushal, Madhurima, Jain, Sanjay, Knoten, Amanda, Minor, Brittany, Nwanne, Gerald, Vijayan, Anitha, Zhang, Bo, Arora, Tanima, Cantley, Lloyd, Victoria Castro, Angela M., Kakade, Vijayakumar, Moeckel, Gilbert, Moledina, Dennis, Shaw, Melissa, Wilson, Francis P., El-Achkar, Tarek M., and Eadon, Michael T.

Published
2024
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4. Participant Experience with Protocol Research Kidney Biopsies in the Kidney Precision Medicine Project

Author

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

Published
2024
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5. High-Resolution Imaging Mass Spectrometry of Human Donor Eye: Photoreceptors Cells and Basal Laminar Deposit of Age-Related Macular Degeneration

Author

Anderson, David M. G., Kotnala, Ankita, Messinger, Jeffrey D., Patterson, Nathan Heath, Spraggins, Jeffrey M., Curcio, Christine A., Caprioli, Richard M., Schey, Kevin L., Crusio, Wim E., Series Editor, Dong, Haidong, Series Editor, Radeke, Heinfried H., Series Editor, Rezaei, Nima, Series Editor, Steinlein, Ortrud, Series Editor, Xiao, Junjie, Series Editor, Ash, John D., editor, Pierce, Eric, editor, Anderson, Robert E., editor, Bowes Rickman, Catherine, editor, Hollyfield, Joe G., editor, and Grimm, Christian, editor

Published
2023
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9. The human body at cellular resolution: the NIH Human Biomolecular Atlas Program

Author

Snyder, Michael P, Lin, Shin, Posgai, Amanda, Atkinson, Mark, Regev, Aviv, Rood, Jennifer, Rozenblatt-Rosen, Orit, Gaffney, Leslie, Hupalowska, Anna, Satija, Rahul, Gehlenborg, Nils, Shendure, Jay, Laskin, Julia, Harbury, Pehr, Nystrom, Nicholas A, Silverstein, Jonathan C, Bar-Joseph, Ziv, Zhang, Kun, Börner, Katy, Lin, Yiing, Conroy, Richard, Procaccini, Dena, Roy, Ananda L, Pillai, Ajay, Brown, Marishka, Galis, Zorina S, Cai, Long, Trapnell, Cole, Jackson, Dana, Nolan, Garry, Greenleaf, William James, Plevritis, Sylvia, Ahadi, Sara, Nevins, Stephanie A, Lee, Hayan, Schuerch, Christian Martijn, Black, Sarah, Venkataraaman, Vishal Gautham, Esplin, Ed, Horning, Aaron, Bahmani, Amir, Sun, Xin, Jain, Sanjay, Hagood, James, Pryhuber, Gloria, Kharchenko, Peter, Bodenmiller, Bernd, Brusko, Todd, Clare-Salzler, Michael, Nick, Harry, Otto, Kevin, Wasserfall, Clive, Jorgensen, Marda, Brusko, Maigan, Maffioletti, Sergio, Caprioli, Richard M, Spraggins, Jeffrey M, Gutierrez, Danielle, Patterson, Nathan Heath, Neumann, Elizabeth K, Harris, Raymond, deCaestecker, Mark, Fogo, Agnes B, van de Plas, Raf, Lau, Ken, Yuan, Guo-Cheng, Zhu, Qian, Dries, Ruben, Yin, Peng, Saka, Sinem K, Kishi, Jocelyn Y, Wang, Yu, Goldaracena, Isabel, Ye, DongHye, Burnum-Johnson, Kristin E, Piehowski, Paul D, Ansong, Charles, Zhu, Ying, Desai, Tushar, Mulye, Jay, Chou, Peter, Nagendran, Monica, Teichmann, Sarah A, Paten, Benedict, Murphy, Robert F, Ma, Jian, Kiselev, Vladimir Yu, Kingsford, Carl, and Ricarte, Allyson

Subjects
Human Genome, Genetics, Networking and Information Technology R&D, Bioengineering, Aging, Atlases as Topic, Biomedical Research, Female, Health, Humans, International Cooperation, Male, Models, Anatomic, Molecular Biology, National Institutes of Health (U.S.), Organ Specificity, Single-Cell Analysis, United States, q-bio.OT, General Science & Technology
Abstract

Transformative technologies are enabling the construction of threedimensional (3D) maps of tissues with unprecedented spatial and molecularresolution. Over the next seven years, the NIH Common Fund Human BiomolecularAtlas Program (HuBMAP) intends to develop a widely accessible framework forcomprehensively mapping the human body at single-cell resolution by supportingtechnology development, data acquisition, and detailed spatial mapping. HuBMAPwill integrate its efforts with other funding agencies, programs, consortia,and the biomedical research community at large towards the shared vision of acomprehensive, accessible 3D molecular and cellular atlas of the human body, inhealth and various disease settings.

Published
2019

10. Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging

Author

Hickey, John W., Neumann, Elizabeth K., Radtke, Andrea J., Camarillo, Jeannie M., Beuschel, Rebecca T., Albanese, Alexandre, McDonough, Elizabeth, Hatler, Julia, Wiblin, Anne E., Fisher, Jeremy, Croteau, Josh, Small, Eliza C., Sood, Anup, Caprioli, Richard M., Angelo, R. Michael, Nolan, Garry P., Chung, Kwanghun, Hewitt, Stephen M., Germain, Ronald N., Spraggins, Jeffrey M., Lundberg, Emma, Snyder, Michael P., Kelleher, Neil L., and Saka, Sinem K.

Published
2022
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13. Optic Nerve Regeneration After Crush Remodels the Injury Site: Molecular Insights From Imaging Mass Spectrometry

Author

Stark, David T, Anderson, David MG, Kwong, Jacky MK, Patterson, Nathan Heath, Schey, Kevin L, Caprioli, Richard M, and Caprioli, Joseph

Subjects
Traumatic Head and Spine Injury, Regenerative Medicine, Neurosciences, Eye Disease and Disorders of Vision, Physical Injury - Accidents and Adverse Effects, Underpinning research, 1.1 Normal biological development and functioning, Neurological, Animals, Axons, Cell Count, Cell Survival, Disease Models, Animal, Gliosis, Lipid Metabolism, Male, Microscopy, Confocal, Nerve Crush, Nerve Regeneration, Neuronal Plasticity, Optic Nerve, Optic Nerve Injuries, Rats, Rats, Inbred F344, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, optic nerve regeneration, inflammation, lipidomics, optic nerve crush, microglia, Biological Sciences, Medical and Health Sciences, Ophthalmology & Optometry
Abstract

PurposeMammalian central nervous system axons fail to regenerate after injury. Contributing factors include limited intrinsic growth capacity and an inhibitory glial environment. Inflammation-induced optic nerve regeneration (IIR) is thought to boost retinal ganglion cell (RGC) intrinsic growth capacity through progrowth gene expression, but effects on the inhibitory glial environment of the optic nerve are unexplored. To investigate progrowth molecular changes associated with reactive gliosis during IIR, we developed an imaging mass spectrometry (IMS)-based approach that identifies discriminant molecular signals in and around optic nerve crush (ONC) sites.MethodsONC was performed in rats, and IIR was established by intravitreal injection of a yeast cell wall preparation. Optic nerves were collected at various postcrush intervals, and longitudinal sections were analyzed with matrix-assisted laser desorption/ionization (MALDI) IMS and data mining. Immunohistochemistry and confocal microscopy were used to compare discriminant molecular features with cellular features of reactive gliosis.ResultsIIR increased the area of the crush site that was occupied by a dense cellular infiltrate and mass spectral features consistent with lysosome-specific lipids. IIR also increased immunohistochemical labeling for microglia and macrophages. IIR enhanced clearance of lipid sulfatide myelin-associated inhibitors of axon growth and accumulation of simple GM3 gangliosides in a spatial distribution consistent with degradation of plasma membrane from degenerated axons.ConclusionsIIR promotes a robust phagocytic response that improves clearance of myelin and axon debris. This growth-permissive molecular remodeling of the crush injury site extends our current understanding of IIR to include mechanisms extrinsic to the RGC.

Published
2018

15. Cadherin-11, Sparc-related modular calcium binding protein-2, and Pigment epithelium-derived factor are promising non-invasive biomarkers of kidney fibrosis

Author

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.

Published
2021
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17. An orthogonal methods assessment of topical drug concentrations in skin and the impact for risk assessment in the viable epidermis

Author

Hollingshead, Brett D., Tomlinson, Lindsay, Finley, Jim, Doshna, Colleen, Ritenour, Casey, Barricklow, Jason, Oppenheimer, Stacey R., O'Neil, Shawn P., Moore, Jessica L., Patterson, Nathan Heath, Nicholson, Sarah P., Norris, Jeremy L., Caprioli, Richard M., Beaumont, Kevin, King-Ahmad, Amanda J., Vispute, Saurabh, Cook, Jon C., Radi, Zaher, and Schuler, Maik

Published
2021
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19. Multidimensional mass profiles increase confidence in bacterial identification when using low-resolution mass spectrometers.

Author

Sasiene, Zachary J., LeBrun, Erick S., Velappan, Nileena, Anderson, Austin R., Patterson, Nathan H., Dufresne, Martin, Farrow, Melissa A., Norris, Jeremy L., Caprioli, Richard M., Mach, Phillip M., McBride, Ethan M., and Glaros, Trevor G.

Subjects
MATRIX-assisted laser desorption-ionization, TANDEM mass spectrometry, MASS spectrometers, YERSINIA pestis, TECHNOLOGICAL innovations, MASS spectrometry, DAUGHTER ions
Abstract

Field-forward analytical technologies, such as portable mass spectrometry (MS), enable essential capabilities for real-time monitoring and point-of-care diagnostic applications. Significant and recent investments improving the features of miniaturized mass spectrometers enable various new applications outside of small molecule detection. Most notably, the addition of tandem mass spectrometry scans (MS/MS) allows the instrument to isolate and fragment ions and increase the analytical specificity by measuring unique chemical signatures for ions of interest. Notwithstanding these technological advancements, low-cost, portable systems still struggle to confidently identify clinically significant organisms of interest, such as bacteria, viruses, and proteinaceous toxins, due to the limitations in resolving power. To overcome these limitations, we developed a novel multidimensional mass fingerprinting technique that uses tandem mass spectrometry to increase the chemical specificity for low-resolution mass spectral profiles. We demonstrated the method's capabilities for differentiating four different bacteria, including attentuated strains of Yersinia pestis. This approach allowed for the accurate (>92%) identification of each organism at the strain level using de-resolved matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) data to mimic the performance characteristics of miniaturized mass spectrometers. This work demonstrates that low-resolution mass spectrometers, equipped with tandem MS acquisition modes, can accurately identify clinically relevant bacteria. These findings support the future application of these technologies for field-forward and point-of-care applications where high-performance mass spectrometers would be cost-prohibitive or otherwise impractical. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Multimodal MALDI imaging mass spectrometry for improved diagnosis of melanoma.

Author

Zhang, Wanqiu, Patterson, Nathan Heath, Verbeeck, Nico, Moore, Jessica L., Ly, Alice, Caprioli, Richard M., De Moor, Bart, Norris, Jeremy L., and Claesen, Marc

Subjects
DEEP learning, ARTIFICIAL neural networks, MELANOMA diagnosis, MASS spectrometry, HEMATOXYLIN & eosin staining, FEATURE extraction
Abstract

Imaging mass spectrometry (IMS) provides promising avenues to augment histopathological investigation with rich spatio-molecular information. We have previously developed a classification model to differentiate melanoma from nevi lesions based on IMS protein data, a task that is challenging solely by histopathologic evaluation. Most IMS-focused studies collect microscopy in tandem with IMS data, but this microscopy data is generally omitted in downstream data analysis. Microscopy, nevertheless, forms the basis for traditional histopathology and thus contains invaluable morphological information. In this work, we developed a multimodal classification pipeline that uses deep learning, in the form of a pre-trained artificial neural network, to extract the meaningful morphological features from histopathological images, and combine it with the IMS data. To test whether this deep learning-based classification strategy can improve on our previous results in classification of melanocytic neoplasia, we utilized MALDI IMS data with collected serial H&E stained sections for 331 patients, and compared this multimodal classification pipeline to classifiers using either exclusively microscopy or IMS data. The multimodal pipeline achieved the best performance, with ROC-AUCs of 0.968 vs. 0.938 vs. 0.931 for the multimodal, unimodal microscopy and unimodal IMS pipelines respectively. Due to the use of a pre-trained network to perform the morphological feature extraction, this pipeline does not require any training on large amounts of microscopy data. As such, this framework can be readily applied to improve classification performance in other experimental settings where microscopy data is acquired in tandem with IMS experiments. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Contributors

Author

Batruch, Ihor, primary, Blonder, Josip, additional, Boccard, Julien, additional, Boschetti, Egisto, additional, Brenner, Dean E., additional, Caprioli, Richard M., additional, Castillo, Mary Joan, additional, Chan, Eric Chun Yong, additional, Cho, Wonryeon, additional, Cline, Erika N., additional, Codesido, Santiago, additional, Diamandis, Eleftherios P., additional, Djukovic, Danijel, additional, Drabovich, Andrei P., additional, Fox, Stephen D., additional, Gika, Helen G., additional, González-Ruiz, Víctor, additional, Goo, Young Ah, additional, Goodlett, David R., additional, Gowda, Nagana, additional, Issaq, Haleem J., additional, Kaczmarczyk, Jan A., additional, Kim, JinHee, additional, Lee, Cheng S., additional, Lilley, Laura M., additional, Llorente, Alicia, additional, Long, Frederick H., additional, Luke, Brian, additional, McShane, Adam J., additional, Melero, Ignacio, additional, Mukundan, Harshini, additional, Narasimhan, Meena L., additional, Nissley, Dwight V., additional, Patiño-García, Ana, additional, Patrie, Steven M., additional, Pavlou, Maria P., additional, Perez-Gracia, Jose Luis, additional, Plumb, Robert, additional, Prieto, DaRue A., additional, Raftery, Daniel, additional, Regnier, Fred E., additional, Righetti, Pier Giorgio, additional, Rudaz, Serge, additional, Sanmamed, Miguel F., additional, Saul, Richard G., additional, Seeley, Erin H., additional, Stromberg, Loreen R., additional, Theodoridis, Georgios A., additional, Tuck, Melissa, additional, Turgeon, D. Kim, additional, Van, Que N., additional, Veenstra, Timothy D., additional, Vuckovic, Dajana, additional, Wang, Chenchen, additional, Wang, Lei, additional, Whiteley, Gordon R., additional, Wilson, Ian D., additional, Yao, Xudong, additional, Ye, Xiaoying, additional, and Yip, Lian Yee, additional

Published
2020
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41. Precision Medicine in Pancreatic Disease—Knowledge Gaps and Research Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop

Author

Lowe, Mark E., Andersen, Dana K., Caprioli, Richard M., Choudhary, Jyoti, Cruz-Monserrate, Zobeida, Dasyam, Anil K., Forsmark, Christopher E., Gorelick, Fred S., Gray, Joe W., Haupt, Mark, Kelly, Kimberly A., Olive, Kenneth P., Plevritis, Sylvia K., Rappaport, Noa, Roth, Holger R., Steen, Hanno, Swamidass, S. Joshua, Tirkes, Temel, Uc, Aliye, Veselkov, Kirill, Whitcomb, David C., and Habtezion, Aida

Published
2019
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45. Supplementary Figure 4 from Acyl-Coenzyme A–Binding Protein Regulates Beta-Oxidation Required for Growth and Survival of Non–Small Cell Lung Cancer

Author

Harris, Fredrick T., primary, Rahman, S.M. Jamshedur, primary, Hassanein, Mohamed, primary, Qian, Jun, primary, Hoeksema, Megan D., primary, Chen, Heidi, primary, Eisenberg, Rosana, primary, Chaurand, Pierre, primary, Caprioli, Richard M., primary, Shiota, Masakazu, primary, and Massion, Pierre P., primary

Published
2023
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46. Supplementary Figure 1 from Acyl-Coenzyme A–Binding Protein Regulates Beta-Oxidation Required for Growth and Survival of Non–Small Cell Lung Cancer

Author

Harris, Fredrick T., primary, Rahman, S.M. Jamshedur, primary, Hassanein, Mohamed, primary, Qian, Jun, primary, Hoeksema, Megan D., primary, Chen, Heidi, primary, Eisenberg, Rosana, primary, Chaurand, Pierre, primary, Caprioli, Richard M., primary, Shiota, Masakazu, primary, and Massion, Pierre P., primary

Published
2023
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47. Supplementary Table 1 from Acyl-Coenzyme A–Binding Protein Regulates Beta-Oxidation Required for Growth and Survival of Non–Small Cell Lung Cancer

Author

Harris, Fredrick T., primary, Rahman, S.M. Jamshedur, primary, Hassanein, Mohamed, primary, Qian, Jun, primary, Hoeksema, Megan D., primary, Chen, Heidi, primary, Eisenberg, Rosana, primary, Chaurand, Pierre, primary, Caprioli, Richard M., primary, Shiota, Masakazu, primary, and Massion, Pierre P., primary

Published
2023
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48. Supplementary Figure 2 from Acyl-Coenzyme A–Binding Protein Regulates Beta-Oxidation Required for Growth and Survival of Non–Small Cell Lung Cancer

Author

Harris, Fredrick T., primary, Rahman, S.M. Jamshedur, primary, Hassanein, Mohamed, primary, Qian, Jun, primary, Hoeksema, Megan D., primary, Chen, Heidi, primary, Eisenberg, Rosana, primary, Chaurand, Pierre, primary, Caprioli, Richard M., primary, Shiota, Masakazu, primary, and Massion, Pierre P., primary

Published
2023
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49. Supplementary Figure 3 from Acyl-Coenzyme A–Binding Protein Regulates Beta-Oxidation Required for Growth and Survival of Non–Small Cell Lung Cancer

Author

Harris, Fredrick T., primary, Rahman, S.M. Jamshedur, primary, Hassanein, Mohamed, primary, Qian, Jun, primary, Hoeksema, Megan D., primary, Chen, Heidi, primary, Eisenberg, Rosana, primary, Chaurand, Pierre, primary, Caprioli, Richard M., primary, Shiota, Masakazu, primary, and Massion, Pierre P., primary

Published
2023
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50. Supplementary Figure Legends from Acyl-Coenzyme A–Binding Protein Regulates Beta-Oxidation Required for Growth and Survival of Non–Small Cell Lung Cancer

Author

Harris, Fredrick T., primary, Rahman, S.M. Jamshedur, primary, Hassanein, Mohamed, primary, Qian, Jun, primary, Hoeksema, Megan D., primary, Chen, Heidi, primary, Eisenberg, Rosana, primary, Chaurand, Pierre, primary, Caprioli, Richard M., primary, Shiota, Masakazu, primary, and Massion, Pierre P., primary

Published
2023
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