D
David E. Levy
Researcher at New York University
Publications - 242
Citations - 38178
David E. Levy is an academic researcher from New York University. The author has contributed to research in topics: Transcription factor & Interferon. The author has an hindex of 97, co-authored 241 publications receiving 35917 citations. Previous affiliations of David E. Levy include National Taiwan University & Spanish National Research Council.
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Journal ArticleDOI
STATs: transcriptional control and biological impact
David E. Levy,James E. Darnell +1 more
TL;DR: The signal transducer and activator of transcription (STAT) proteins are among the most well studied of the latent cytoplasmic signal-dependent transcription-factor pathways.
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IL-6 programs T(H)-17 cell differentiation by promoting sequential engagement of the IL-21 and IL-23 pathways.
Liang Zhou,Ivaylo I. Ivanov,Rosanne Spolski,Roy Min,Kevin Shenderov,Takeshi Egawa,David E. Levy,Warren J. Leonard,Dan R. Littman +8 more
TL;DR: IL-6 orchestrates a series of 'downstream' cytokine-dependent signaling pathways that, in concert with TGF-β, amplify RORγt-dependent differentiation of TH-17 cells.
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Targeted Disruption of the Mouse Stat1 Gene Results in Compromised Innate Immunity to Viral Disease
TL;DR: Cell and tissues from Stat1(-1-1) mice were unresponsive to IFN, but remained responsive to all other cytokines tested, indicating that STAT1 appears to be specific for IFN pathways that are essential for viability in the face of otherwise innocuous pathogens.
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Gr-1+CD115+ Immature Myeloid Suppressor Cells Mediate the Development of Tumor-Induced T Regulatory Cells and T-Cell Anergy in Tumor-Bearing Host
Bo Huang,Ping-Ying Pan,Qingsheng Li,Alice I. Sato,David E. Levy,Jonathan S. Bromberg,Celia M. Divino,Shu Hsia Chen +7 more
TL;DR: Evidence is provided that Gr-1(+)CD115(+) MSC can mediate the development of Treg in tumor-bearing mice and show a novel immune suppressive mechanism by which MSCs can suppress antitumor responses.
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JAK-STAT Signaling: From Interferons to Cytokines
TL;DR: This research presents a new probabilistic approach to cell reprograming that allows us to assess the importance of immune checkpoints in the immune response to E.coli.