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Yosef Shiloh

Researcher at Tel Aviv University

Publications -  206
Citations -  35738

Yosef Shiloh is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Ataxia-telangiectasia & DNA damage. The author has an hindex of 75, co-authored 200 publications receiving 34100 citations. Previous affiliations of Yosef Shiloh include German Cancer Research Center & Weizmann Institute of Science.

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ATM deficiency and oxidative stress: a new dimension of defective response to DNA damage.

TL;DR: This connection between genome instability-oxidative stress connection and ATM deficiency may provide new insights into the phenotypes associated with genetic deficiencies of DNA damage responses, and point to new strategies to alleviate some of their clinical symptoms.
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EXPANDER – an integrative program suite for microarray data analysis

TL;DR: Expander 2.0 as mentioned in this paper is an integrative package for the analysis of gene expression data, designed as a 'one-stop shop' tool that implements various data analysis algorithms ranging from the initial steps of normalization and filtering, through clustering and biclustering, to high-level functional enrichment analysis that points to biological processes that are active in the examined conditions, and to promoter cis-regulatory elements analysis that elucidates transcription factors that control the observed transcriptional response.
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ATM: From Gene to Function

TL;DR: It is shown that ATM is a key regulator of multiple signaling cascades which respond to DNA strand breaks induced by damaging agents or by normal processes, such as meiotic or V(D)J recombination, which involve the activation of cell cycle checkpoints, DNA repair and apoptosis.
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Genome-Wide In Silico Identification of Transcriptional Regulators Controlling the Cell Cycle in Human Cells

TL;DR: Using human genomic sequences, models for binding sites of known transcription factors, and gene expression data, it is demonstrated that the reverse engineering approach, which infers regulatory mechanisms from gene expression patterns, can reveal transcriptional networks in human cells.