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Pamela Troisch
Researcher at Institute for Systems Biology
Publications - 11
Citations - 2158
Pamela Troisch is an academic researcher from Institute for Systems Biology. The author has contributed to research in topics: Cancer & Cytotoxic T cell. The author has an hindex of 7, co-authored 10 publications receiving 1389 citations.
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Journal ArticleDOI
Circulating microRNAs, potential biomarkers for drug-induced liver injury
Kai Wang,Shile Zhang,Bruz Marzolf,Pamela Troisch,Amy Brightman,Zhiyuan Hu,Leroy Hood,David J. Galas +7 more
TL;DR: It is demonstrated that specific microRNA species, such as mir-122 and mir-192, both are enriched in the liver tissue and exhibit dose- and exposure duration-dependent changes in the plasma that parallel serum aminotransferase levels and the histopathology of liver degeneration, but their changes can be detected significantly earlier.
Journal ArticleDOI
Multiple early factors anticipate post-acute COVID-19 sequelae
Yapeng Su,Dan Yuan,Daniel G. Chen,Rachel Ng,Kai Wang,Jongchan Choi,Sarah Li,Sunga Hong,Rongyu Zhang,Jingyi Xie,Sergey A. Kornilov,Kelsey Scherler,A.-J. Pavlovitch-Bedzyk,Shen Dong,Christopher Lausted,Inyoul Lee,Shannon Fallen,Chengzhen L. Dai,Priyanka Baloni,Brett Smith,Venkata R. Duvvuri,Kristin G. Anderson,Jing Wei Li,Fan Yang,Caroline J. Duncombe,Denise J. McCulloch,Clifford Rostomily,Pamela Troisch,Jing Zhou,Sean Mackay,Quinn DeGottardi,Damon May,Ruth T. Taniguchi,Rachel M. Gittelman,Mark Klinger,Thomas M. Snyder,Ryan Roper,Gladys Wojciechowska,Kim Murray,Rick Edmark,Simon Evans,Lesley Jones,Yon-gan Zhou,Lee Rowen,Rachel Xia-Ying Liu,William Chour,Heather Algren,William R. Berrington,Julie A. Wallick,Rebecca Cochran,Mary Micikas,Christos J. Petropoulos,Hunter Cole,Trevan D Fischer,Wei Wei,Dave S.B. Hoon,Nathan D. Price,Naeha Subramanian,Joshua A. Hill,Jenn J. Hadlock,Andrew T. Magis,Antoni Ribas,Lewis L. Lanier,Scott D. Boyd,Jeffrey A. Bluestone,Helen Y. Chu,Leroy Hood,Raphael Gottardo,Philip D. Greenberg,Mark M. Davis,Jason D Goldman,James R. Heath +71 more
TL;DR: Huang et al. as discussed by the authors performed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data and patient-reported symptoms.
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Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19.
Yapeng Su,Daniel Chen,Dan Yuan,Christopher Lausted,Jongchan Choi,Chengzhen L. Dai,Valentin Voillet,Venkata R Duvvuri,Kelsey Scherler,Pamela Troisch,Priyanka Baloni,Guangrong Qin,Brett Smith,Sergey A. Kornilov,Clifford Rostomily,Alexander M. Xu,Jing Li,Shen Dong,Alissa C. Rothchild,Jing Zhou,Kim Murray,Rick Edmark,Sunga Hong,John E. Heath,John C. Earls,Rongyu Zhang,Jingyi Xie,Sarah Li,Ryan Roper,Lesley Jones,Yong Zhou,Lee Rowen,Rachel Liu,Sean Mackay,D. Shane O’Mahony,Christopher R. Dale,Julie A. Wallick,Heather A. Algren,Michael Zager,Wei Wei,Nathan D. Price,Sui Huang,Naeha Subramanian,Kai Wang,Andrew T. Magis,Jenn J. Hadlock,Leroy Hood,Alan Aderem,Jeffrey A. Bluestone,Lewis L. Lanier,Philip D. Greenberg,Raphael Gottardo,Mark M. Davis,Jason D Goldman,James R. Heath +54 more
TL;DR: It is suggested that moderate disease may provide the most effective setting for therapeutic intervention, at which point elevated inflammatory signaling is accompanied by the loss of specific classes of metabolites and metabolic processes at moderate disease.
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Memory T Cell RNA Rearrangement Programmed by Heterogeneous Nuclear Ribonucleoprotein hnRNPLL
Zuopeng Wu,Xinying Jia,Laura de la Cruz,Xun-Cheng Su,Bruz Marzolf,Pamela Troisch,Daniel E. Zak,Adam E. Hamilton,Belinda Whittle,Di Yu,Daniel Sheahan,Edward M. Bertram,Alan Aderem,Gottfried Otting,Christopher C. Goodnow,Gerard F. Hoyne +15 more
TL;DR: RNA rearrangement is identified here as a key event in memory T cell differentiation by analysis of a mouse mutation that altered the proportions of naive and memory T cells and crippled the process of Ptprc exon silencing needed to generate CD45RO inMemory T cells.
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Gene expression relationship between prostate cancer cells of Gleason 3, 4 and normal epithelial cells as revealed by cell type-specific transcriptomes
Laura E. Pascal,Laura E. Pascal,Ricardo Z. N. Vêncio,Ricardo Z. N. Vêncio,Laura S. Page,Emily S Liebeskind,Christina P. Shadle,Pamela Troisch,Bruz Marzolf,Lawrence D. True,Leroy Hood,Alvin Y. Liu +11 more
TL;DR: Genes differentially expressed in cancer are potential biomarkers for cancer detection, and those differentially expression between G3 and G4 are possible biomarker for disease stratification given that G4 cancer is associated with poor outcomes.