Literature DB >> 18514968

Comparison of transcription regulatory interactions inferred from high-throughput methods: what do they reveal?

S Balaji1, Lakshminarayan M Iyer, M Madan Babu, L Aravind.   

Abstract

We compared the transcription regulatory interactions inferred from three high-throughput methods. Because these methods use different principles, they have few interactions in common, suggesting they capture distinct facets of the transcription regulatory program. We show that these methods uncover disparate biological phenomena: long-range interactions between telomeres and transcription factors, downstream effects of interference with ribosome biogenesis and a protein-aggregation response. Through a detailed analysis of the latter, we predict components of the system responding to protein-aggregation stress.

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Year:  2008        PMID: 18514968      PMCID: PMC2768723          DOI: 10.1016/j.tig.2008.04.006

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  18 in total

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Authors:  Zhanzhi Hu; Patrick J Killion; Vishwanath R Iyer
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10.  Estimating the prevalence and regulatory potential of the telomere looping effect in yeast transcription regulation.

Authors:  M Madan Babu; S Balaji; Lakshminarayan M Iyer; L Aravind
Journal:  Cell Cycle       Date:  2006-10-16       Impact factor: 4.534

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  11 in total

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Journal:  Mol Biol Evol       Date:  2010-10-21       Impact factor: 16.240

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Review 6.  Apprehending multicellularity: regulatory networks, genomics, and evolution.

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8.  m:Explorer: multinomial regression models reveal positive and negative regulators of longevity in yeast quiescence.

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9.  Regulatory interdependence of myeloid transcription factors revealed by Matrix RNAi analysis.

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10.  Robustness of transcriptional regulatory program influences gene expression variability.

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Journal:  BMC Genomics       Date:  2009-12-02       Impact factor: 3.969

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