Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hannah Boekweg"'
Autor:
Amanda J. Guise, Santosh A. Misal, Richard Carson, Jen-Hwa Chu, Hannah Boekweg, Daisha Van Der Watt, Nora C. Welsh, Thy Truong, Yiran Liang, Shanqin Xu, Gina Benedetto, Jake Gagnon, Samuel H. Payne, Edward D. Plowey, Ryan T. Kelly
Publikováno v:
Cell Reports, Vol 43, Iss 1, Pp 113636- (2024)
Summary: A limitation of conventional bulk-tissue proteome studies in amyotrophic lateral sclerosis (ALS) is the confounding of motor neuron (MN) signals by admixed non-MN proteins. Here, we leverage laser capture microdissection and nanoPOTS single-
Externí odkaz:
https://doaj.org/article/8a6acb1de53f412fbde8d06f4b44f6e9
Autor:
Yiran Liang, Thy Truong, Aubrianna J. Saxton, Hannah Boekweg, Samuel H. Payne, Pam M. Van Ry, Ryan T. Kelly
Publikováno v:
Analytical Chemistry. 95:8020-8027
Autor:
Hannah Boekweg, Samuel H. Payne
Publikováno v:
Mol Cell Proteomics
Single-cell proteomics is growing rapidly and has made several technological advancements. As most research has been focused on improving instrumentation and sample preparation methods, very little attention has been given to algorithms responsible f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c8e5b597aa7412fa28036ae38bbaecb
https://europepmc.org/articles/PMC10060113/
https://europepmc.org/articles/PMC10060113/
Autor:
Hannah Boekweg, Daisha Van Der Watt, Thy Truong, S. Madisyn Johnston, Amanda J. Guise, Edward D. Plowey, Ryan T. Kelly, Samuel H. Payne
Publikováno v:
Journal of Proteome Research. 21:182-188
The goal of proteomics is to identify and quantify the complete set of proteins in a biological sample. Single-cell proteomics specializes in the identification and quantitation of proteins for individual cells, often used to elucidate cellular heter
Autor:
Benjamin Kimball, Samuel L. Pugh, Caleb M. Lindgren, Sadie Tayler, David W Adams, Samuel H. Payne, Hannah Boekweg
Publikováno v:
Journal of Proteome Research
Comprehensive cancer data sets recently generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) offer great potential for advancing our understanding of how to combat cancer. These data sets include DNA, RNA, protein, and clinical chara
Publikováno v:
Journal of Proteome Research. 19:4191-4195
Scientific progress comes as we build upon the work of others. Implicit in this advance is that we have access to and can thoroughly examine the work of others. It is important to recognize that our scholarly work as scientists encompasses not only e
Autor:
Daisha Van Der Watt, Amanda J. Guise, Hannah Boekweg, Edward D. Plowey, Thy Truong, Samuel H. Payne, Ryan T. Kelly
Single cell proteomics is an emerging sub-field within proteomics with the potential to revolutionize our understanding of cellular heterogeneity and interactions. Recent efforts have largely focused on technological advancements in sample preparatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa49611e54cd4ed422cef65257ffa736
https://doi.org/10.1101/2021.08.17.456676
https://doi.org/10.1101/2021.08.17.456676
Autor:
Daisha Van Der Watt, Edward D. Plowey, Hannah Boekweg, Thy Truong, Samuel H. Payne, Ryan T. Kelly, Amanda J. Guise
The goal of proteomics is to identify and quantify the complete set of proteins in a biological sample. Single cell proteomics specializes in identification and quantitation of proteins for individual cells, often used to elucidate cellular heterogen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab747fe2adb2757e9d29e53899dfbfb
https://doi.org/10.1101/2021.08.17.456675
https://doi.org/10.1101/2021.08.17.456675
Autor:
Andikan J. Nwosu, Ryan T. Kelly, Yiran Liang, Carolyn Allen, Daniel D. Machado, Hannah Boekweg, Samuel H. Payne, Michaela A. McCown
Chronic Lymphocytic Leukemia (CLL) is a slow progressing disease, characterized by a long asymptomatic stage followed by a symptomatic stage during which patients receive treatment. While proteomic studies have discovered differential pathways in CLL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd10a101a658173359e99046b9a2a15a
https://doi.org/10.1101/2021.07.29.454362
https://doi.org/10.1101/2021.07.29.454362
Autor:
Cristina E. Tognon, Larisa Polonskaya, Tara Skelly, Shuang Cai, Francesmary Modugno, Larissa Rossell, Nancy Roche, Chen Huang, Jessika Baral, Fulvio D'Angelo, Wen-Wei Liang, Chia-Feng Tsai, Sneha P. Couvillion, Karin D. Rodland, Jun Zhu, Liang-Bo Wang, Paul D. Piehowski, Antonio Colaprico, Anupriya Agarwal, Matthew A. Wyczalkowski, Umut Ozbek, Francesca Petralia, Alexis Demopoulos, William W. Maggio, Lin Chen, Katherine A. Hoadley, Richard D. Smith, Sandra Cottingham, John McGee, Marcin J. Domagalski, Houxiang Zhu, Emek Demir, Rebecca I. Montgomery, Jamie Moon, Rashna Madan, George D. Wilson, Luciano Garofano, Ewa P. Malc, Chelsea J. Newton, Steven A. Carr, Chandan Kumar-Sinha, Donghui Tan, Christopher R. Kinsinger, Oxana Paklina, Weiqing Wan, Stephanie De Young, Sandra Cerda, Shankha Satpathy, Wojciech Kaspera, Linda Hannick, Gad Getz, Runyu Hong, Shuangjia Lu, Ziad Hanhan, Daniel C. Rohrer, Annette Marrero-Oliveras, Wojciech Szopa, Yuxing Liao, Amanda G. Paulovich, Jiayi Ji, Denis A. Golbin, Tara Hiltke, Weiva Sieh, Piotr A. Mieczkowski, Matthew E. Monroe, Gilbert S. Omenn, Jill S. Barnholtz-Sloan, Azra Krek, Bing Zhang, Brittany Henderson, Peter B. McGarvey, Ratna R. Thangudu, Maciej Wiznerowicz, Saravana M. Dhanasekaran, Alex Webster, Kai Li, Karna Robinson, Nan Ji, Karl K. Weitz, Simina M. Boca, Xiaoyu Song, Anna Calinawan, Adam C. Resnick, Brian J. Druker, Dana R. Valley, David J. Clark, Tao Liu, Eric J. Jaehnig, Alicia Francis, Michele Ceccarelli, Rui Zhao, Dmitry Rykunov, Boris Reva, Elizabeth R. Duffy, Antonio Iavarone, Dave Tabor, Joshua F. McMichael, Daniel Cui Zhou, Maureen Dyer, Kimberly Elburn, Scott D. Jewell, Negin Vatanian, Shirley Tsang, Seungyeul Yoo, Alexander R. Pico, Grace Zhao, Kent J. Bloodsworth, Chet Birger, Jena Lilly, Eunkyung An, Jeffrey R. Whiteaker, Albert H. Kim, Yige Wu, Karen A. Ketchum, Felipe D. Leprevost, Alcida Karz, Uma Borate, Nathan Edwards, Uma Velvulou, Melissa Borucki, Vasileios Stathias, Sanford P. Markey, Corbin D. Jones, Ronald J. Moore, MacIntosh Cornwell, Karsten Krug, Michael J. Birrer, James Suh, Tomasz Czernicki, Jason E. McDermott, Emily S. Boja, Pei Wang, Nina Martinez, Wenke Liu, Yan Shi, Lili Blumenberg, Emily Kawaler, Jeffrey W. Tyner, Feng Chen, Jakub Stawicki, Ki Sung Um, Arul M. Chinnaiyan, Robert Zelt, Jacob J. Day, Zhen Zhang, Caleb M. Lindgren, Li Ding, Nikolay Gabrovski, Hongwei Liu, Jonathan T. Lei, Alla Karpova, Ramani B. Kothadia, Sailaja Mareedu, Mitual Amin, Hannah Boekweg, Jennifer E. Kyle, Sara R. Savage, Brian R. Rood, Yuriy Zakhartsev, Matthew L. Anderson, Alyssa Charamut, Wagma Caravan, Shakti Ramkissoon, Junmei Wang, Song Cao, Samuel H. Payne, Rosalie K. Chu, Rajiv Dhir, David W. Andrews, Galen Hostetter, Liqun Qi, Zhiao Shi, Milan G. Chheda, Robert Edwards, Hui Zhang, Weiping Ma, Jennifer M. Eschbacher, Stacey Gabriel, Jan Lubinski, Lijun Yao, Erika M. Zink, Kelly L. Stratton, William Bocik, Mathangi Thiagarajan, Shilpi Singh, Michael A. Gillette, Lisa M. Bramer, Thomas L. Bauer, Michael Vernon, Henry Rodriguez, Dimitris G. Placantonakis, Eric E. Schadt, Alexey I. Nesvizhskii, Vladislav A. Petyuk, Ana I. Robles, Yvonne Shutack, Anna Malovannaya, Stephen E. Stein, Xi Chen, Lyndon Kim, Yize Li, Shannon Richey, Stephan C. Schürer, Barbara Hindenach, Matthew J. Ellis, Yongchao Dou, David Fenyö, Amy M. Perou, Olga Potapova, Shrabanti Chowdhury, Andrew K. Godwin, Marcin Cieślik, Michael C. Wendl, Marina A. Gritsenko, Pietro Pugliese, Elie Traer, Simona Migliozzi, D. R. Mani, Houston Culpepper, Gregory J. Riggins, Xiaolu Yang, Mehdi Mesri, David Chesla, Lindsey K. Olsen, Lori J. Sokoll, Suhas Vasaikar, Liwei Zhang, Meghan C. Burke, Kelly V. Ruggles, Qing Kay Li, Daniel W. Chan, Bo Wen, Nicollette Maunganidze, Darlene Tansil, Joseph H. Rothstein, Barbara Pruetz, Pushpa Hariharan
Publikováno v:
Cancer Cell
Glioblastoma (GBM) is the most aggressive nervous system cancer. Understanding its molecular pathogenesis is crucial to improving diagnosis and treatment. Integrated analysis of genomic, proteomic, post-translational modification and metabolomic data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df38d0a8bf9434909b50050c641f50e
http://hdl.handle.net/11588/844575
http://hdl.handle.net/11588/844575