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Batu Erman

Researcher at Sabancı University

Publications -  45
Citations -  3008

Batu Erman is an academic researcher from Sabancı University. The author has contributed to research in topics: CD8 & T-cell receptor. The author has an hindex of 21, co-authored 39 publications receiving 2700 citations. Previous affiliations of Batu Erman include Brandeis University & National Institutes of Health.

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Suppression of IL7Ralpha transcription by IL-7 and other prosurvival cytokines: a novel mechanism for maximizing IL-7-dependent T cell survival.

TL;DR: A novel regulatory mechanism that specifically suppresses IL7Ralpha transcription in response to IL-7 and other prosurvival cytokines is described, suggesting that this homeostatic regulatory mechanism promotes survival of the maximum possible number of T cells for the amount ofIL-7 available.
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Oxidative stress is a mediator for increased lipid accumulation in a newly isolated Dunaliella salina strain.

TL;DR: It is shown that at optimum cultivation conditions, inducing oxidative stress by application of exogenous H2O2 leads to increased cellular lipid content up to 44% when compared with non-treated control groups, and suggest that oxidative stress mediates lipid accumulation.
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Regulation of lymphoid-specific immunoglobulin mu heavy chain gene enhancer by ETS-domain proteins

TL;DR: Results implicate two members of the Ets family in the activation of IgH gene expression by co-expression of both PU.1 and Ets-1 in nonlymphoid cells trans-activated reporter plasmids that contained the minimal mu enhancer.
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Interleukin 7 signaling in dendritic cells regulates the homeostatic proliferation and niche size of CD4 + T cells

TL;DR: The results indicate that IL-7Rα+ DCs are regulators of the peripheral CD4+ T cell niche and thatIL-7 signals in DCs prevent uncontrolled CD4- T cell population expansion in vivo.
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Information-theoretical entropy as a measure of sequence variability.

TL;DR: It is found that VK and the S‐based measures are highly correlated for the immunoglobulins and shown by analysis of sequence data and by means of a mathematical model that this correlation is due to a strong tendency for the frequency of occurrence of amino acid types at a given position to be log‐linear.