Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Duy T. Pham"'
Autor:
Arti M. Raghubar, Duy T. Pham, Xiao Tan, Laura F. Grice, Joanna Crawford, Pui Yeng Lam, Stacey B. Andersen, Sohye Yoon, Siok Min Teoh, Nicholas A. Matigian, Anne Stewart, Leo Francis, Monica S. Y. Ng, Helen G. Healy, Alexander N. Combes, Andrew J. Kassianos, Quan Nguyen, Andrew J. Mallett
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Available transcriptomes of the mammalian kidney provide limited information on the spatial interplay between different functional nephron structures due to the required dissociation of tissue with traditional transcriptome-based methodologies. A dee
Externí odkaz:
https://doaj.org/article/f9f48ceb22244753811383cd23084a84
Autor:
Gregory R. Keele, Tian Zhang, Duy T. Pham, Matthew Vincent, Timothy A. Bell, Pablo Hock, Ginger D. Shaw, Joao A. Paulo, Steven C. Munger, Fernando Pardo-Manuel de Villena, Martin T. Ferris, Steven P. Gygi, Gary A. Churchill
Publikováno v:
Cell Genomics, Vol 1, Iss 1, Pp 100003- (2021)
Summary: Genetically diverse mouse populations are powerful tools for characterizing the regulation of the proteome and its relationship to whole-organism phenotypes. We used mass spectrometry to profile and quantify the abundance of 6,798 proteins i
Externí odkaz:
https://doaj.org/article/1dacd4665aae43578f737a0dd25d5c0b
Autor:
Starlynn C. Clarke, Biao Ma, Nathan D. Trinklein, Ute Schellenberger, Michael J. Osborn, Laure-Hélène Ouisse, Andrew Boudreau, Laura M. Davison, Katherine E. Harris, Harshad S. Ugamraj, Aarti Balasubramani, Kevin H. Dang, Brett Jorgensen, Heather Anne N. Ogana, Duy T. Pham, Payal P. Pratap, Preethi Sankaran, Ignacio Anegon, Wim C. van Schooten, Marianne Brüggemann, Roland Buelow, Shelley Force Aldred
Publikováno v:
Frontiers in Immunology, Vol 9 (2019)
Heavy chain-only antibodies (HCAbs) do not associate with light chains and their VH regions are functional as single domains, forming the smallest active antibody fragment. These VH regions are ideal building blocks for a variety of antibody-based bi
Externí odkaz:
https://doaj.org/article/6a706cdfcb4649ab82279f4b31c5c13b
Autor:
Van D. Tran, Tatiana V. Pak, Elena I. Gribkova, Galina A. Galkina, Ekaterina E. Loskutova, Valeria V. Dorofeeva, Rebecca S. Dewey, Kien T. Nguyen, Duy T. Pham
Publikováno v:
Pharmacy Practice, Vol 19, Iss 1, p 2276 (2021)
Background: COVID-19 vaccine development is proceeding at an unprecedented pace. Once COVID-19 vaccines become widely available, it will be necessary to maximize public vaccine acceptance and coverage. Objective: This research aimed to analyze the
Externí odkaz:
https://doaj.org/article/b751da787cf84fc58da29d0cd3e847e1
Autor:
Katherine E. Harris, Shelley Force Aldred, Laura M. Davison, Heather Anne N. Ogana, Andrew Boudreau, Marianne Brüggemann, Michael Osborn, Biao Ma, Benjamin Buelow, Starlynn C. Clarke, Kevin H. Dang, Suhasini Iyer, Brett Jorgensen, Duy T. Pham, Payal P. Pratap, Udaya S. Rangaswamy, Ute Schellenberger, Wim C. van Schooten, Harshad S. Ugamraj, Omid Vafa, Roland Buelow, Nathan D. Trinklein
Publikováno v:
Frontiers in Immunology, Vol 9 (2018)
We created a novel transgenic rat that expresses human antibodies comprising a diverse repertoire of heavy chains with a single common rearranged kappa light chain (IgKV3-15-JK1). This fixed light chain animal, called OmniFlic, presents a unique syst
Externí odkaz:
https://doaj.org/article/0e55864017b746d182977ff0f5e8bf28
Summary statistics from genome-wide association studies enable many valuable downstream analyses that are more efficient than individual-level data analysis while also reducing privacy concerns. As growing sample sizes enable better-powered analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb27fc5ac237b5336edc3d3432dd1d13
https://doi.org/10.1101/2023.05.08.23289686
https://doi.org/10.1101/2023.05.08.23289686
Autor:
Selcan Aydin, Duy T. Pham, Tian Zhang, Gregory R. Keele, Daniel A. Skelly, Joao A. Paulo, Matthew Pankratz, Ted Choi, Steven P. Gygi, Laura G. Reinholdt, Christopher L. Baker, Gary A. Churchill, Steven C. Munger
Publikováno v:
Cell Genom
Genetic background drives phenotypic variability in pluripotent stem cells (PSCs). Most studies to date have used transcript abundance as the primary molecular readout of cell state in PSCs. We performed a comprehensive proteogenomics analysis of 190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b65234a40df372a3c42124ce07488ba0
https://europepmc.org/articles/PMC10112288/
https://europepmc.org/articles/PMC10112288/
Autor:
Kenneth Westerman, Magdalena del Rocío Sevilla-González, Duy T. Pham, Yun Ju Sung, Ye Chen, Liang Hong, Alisa K. Manning, Alanna C. Morrison, Yan V. Sun, Han Chen
Publikováno v:
Bioinformatics
Motivation Gene–environment interaction (GEI) studies are a general framework that can be used to identify genetic variants that modify the effects of environmental, physiological, lifestyle or treatment effects on complex traits. Moreover, account
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc868598c24131677aa0a9249d89a533
https://doi.org/10.1093/bioinformatics/btab223
https://doi.org/10.1093/bioinformatics/btab223
Autor:
Qijun Zhang, Vanessa Linke, Katherine A. Overmyer, Lindsay L. Traeger, Kazuyuki Kasahara, Ian J. Miller, Daniel E. Manson, Thomas J. Polaske, Robert L. Kerby, Julia H. Kemis, Edna A. Trujillo, Thiru R. Reddy, Jason D. Russell, Kathryn L. Schueler, Donald S. Stapleton, Mary E. Rabaglia, Marcus Seldin, Daniel M. Gatti, Gregory R. Keele, Duy T. Pham, Joseph P. Gerdt, Eugenio I. Vivas, Aldons J. Lusis, Mark P. Keller, Gary A. Churchill, Helen E. Blackwell, Karl W. Broman, Alan D. Attie, Joshua J. Coon, Federico E. Rey
Publikováno v:
Nature Microbiology. 8:745-745
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6e6b27caf6fb5dc3b62c91a1d2f3167
https://doi.org/10.1038/s41564-023-01366-2
https://doi.org/10.1038/s41564-023-01366-2
Autor:
Selcan Aydin, Duy T. Pham, Tian Zhang, Gregory R. Keele, Daniel A. Skelly, Matthew Pankratz, Ted Choi, Steven P. Gygi, Laura G. Reinholdt, Christopher L. Baker, Gary A. Churchill, Steven C. Munger
Genetic background is a major driver of phenotypic variability in pluripotent stem cells (PSCs). Most studies of variation in PSCs have relied on transcript abundance as the primary molecular readout of cell state. However, little is known about how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b70bc9984ba4676e95b6130e5794f04
https://doi.org/10.1101/2022.04.22.489216
https://doi.org/10.1101/2022.04.22.489216