Zobrazeno 1 - 10
of 557
pro vyhledávání: '"Michael A Newton"'
Autor:
Jin Zhang, Douglas G McNeel, Tun Lee Ng, Hemanth K Potluri, Michael A Newton, Christopher A Maher, Peter S Nelson
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 8, Iss 2 (2020)
Background Previous studies of prostate cancer autoantibodies have largely focused on diagnostic applications. So far, there have been no reports attempting to more comprehensively profile the landscape of prostate cancer-associated antibodies. Speci
Externí odkaz:
https://doaj.org/article/fa0dd8e2eae249dab579ac979a7dce4e
Autor:
Huikun Zhang, Spencer S Ericksen, Ching-Pei Lee, Gene E Ananiev, Nathan Wlodarchak, Peng Yu, Julie C Mitchell, Anthony Gitter, Stephen J Wright, F Michael Hoffmann, Scott A Wildman, Michael A Newton
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 8, p e1006813 (2019)
Prediction of compounds that are active against a desired biological target is a common step in drug discovery efforts. Virtual screening methods seek some active-enriched fraction of a library for experimental testing. Where data are too scarce to t
Externí odkaz:
https://doaj.org/article/4a4d5ae099294f29b49940194c4bd237
Autor:
Jennifer K Pleiman, Amy A Irving, Zhishi Wang, Erik Toraason, Linda Clipson, William F Dove, Dustin A Deming, Michael A Newton
Publikováno v:
PLoS Genetics, Vol 14, Iss 9, p e1007611 (2018)
Conservation over three mammalian genera-the mouse, rat, and human-has been found for a subset of the transcripts whose level differs between the adenoma and normal epithelium of the colon. Pde4b is one of the triply conserved transcripts whose level
Externí odkaz:
https://doaj.org/article/8f6eb91913e744ebb694031853f1d680
Publikováno v:
eLife, Vol 5 (2016)
In our prior work by Hose et al., we performed a genome-sequencing survey and reported that aneuploidy was frequently observed in wild strains of S. cerevisiae. We also profiled transcriptome abundance in naturally aneuploid isolates compared to isog
Externí odkaz:
https://doaj.org/article/8c811a0c6b904ee88e52a87c782ff8a7
Publikováno v:
eLife, Vol 5 (2016)
Externí odkaz:
https://doaj.org/article/b4190a990f334352814ac9166ad96b14
Autor:
Christopher D Zahm, Joseph M Szulczewski, Alyssa A Leystra, Terrah J Paul Olson, Linda Clipson, Dawn M Albrecht, Malisa Middlebrooks, Andrew T Thliveris, Kristina A Matkowskyj, Mary Kay Washington, Michael A Newton, Kevin W Eliceiri, Richard B Halberg
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0150170 (2016)
A widely accepted paradigm in the field of cancer biology is that solid tumors are uni-ancestral being derived from a single founder and its descendants. However, data have been steadily accruing that indicate early tumors in mice and humans can have
Externí odkaz:
https://doaj.org/article/2e3dbb4f216143749f8ae0706d841ae3
Publikováno v:
eLife, Vol 4 (2015)
Aneuploidy is linked to myriad diseases but also facilitates organismal evolution. It remains unclear how cells overcome the deleterious effects of aneuploidy until new phenotypes evolve. Although laboratory strains are extremely sensitive to aneuplo
Externí odkaz:
https://doaj.org/article/4bbf92d5c31740ccb98691b403a85116
Autor:
Jamie L Barger, Rozalyn M Anderson, Michael A Newton, Cristina da Silva, James A Vann, Thomas D Pugh, Shinichi Someya, Tomas A Prolla, Richard Weindruch
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0120738 (2015)
Aging is the most significant risk factor for a range of diseases, including many cancers, neurodegeneration, cardiovascular disease, and diabetes. Caloric restriction (CR) without malnutrition delays aging in diverse species, and therefore offers un
Externí odkaz:
https://doaj.org/article/979cd6779f6848da91ee85328ec8a68f
Autor:
Martin Bencsik, Adam McVeigh, David Claeys Bouuaert, Nuno Capela, Frederick Penny, Michael Ian Newton, José Paulo Sousa, Dirk C. de Graaf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract In this work we aim to provide a quantitative method allowing the probing of the physiological status of honeybee colonies by providing them with a gentle, short, external artificial vibrational shockwave, and recording their response. The k
Externí odkaz:
https://doaj.org/article/f1b28aed16e0427394cf9112a5c77d95
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 9, p e1003235 (2013)
Systematic, genome-wide RNA interference (RNAi) analysis is a powerful approach to identify gene functions that support or modulate selected biological processes. An emerging challenge shared with some other genome-wide approaches is that independent
Externí odkaz:
https://doaj.org/article/046c3c9090bd45fb8c3c99c994f077bb