Literature DB >> 24056865

RNA-seq data analysis at the gene and CDS levels provides a comprehensive view of transcriptome responses induced by 4-hydroxynonenal.

Qi Liu1, Jody Ullery, Jing Zhu, Daniel C Liebler, Lawrence J Marnett, Bing Zhang.   

Abstract

Reactive electrophiles produced during oxidative stress, such as 4-hydroxynonenal (HNE), are increasingly recognized as contributing factors in a variety of degenerative and inflammatory diseases. Here we used the RNA-seq technology to characterize transcriptome responses in RKO cells induced by HNE at subcytotoxic and cytotoxic doses. RNA-seq analysis rediscovered most of the differentially expressed genes reported by microarray studies and also identified novel gene responses. Interestingly, differential expression detection at the coding DNA sequence (CDS) level helped to further improve the consistency between the two technologies, suggesting the utility and importance of the CDS level analysis. RNA-seq data analysis combining gene and CDS levels yielded an informative and comprehensive picture of gradually evolving response networks with increasing HNE doses, from cell protection against oxidative injury at low dose, initiation of cell apoptosis and DNA damage at intermediate dose to significant deregulation of cellular functions at high dose. These evolving dose-dependent pathway changes, which cannot be observed by the gene level analysis alone, clearly reveal the HNE cytotoxic effect and are supported by IC50 experiments. Additionally, differential expression at the CDS level provides new insights into isoform regulation mechanisms. Taken together, our data demonstrate the power of RNA-seq to identify subtle transcriptome changes and to characterize effects induced by HNE through the generation of high-resolution data coupled with differential analysis at both gene and CDS levels.

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Year:  2013        PMID: 24056865      PMCID: PMC3864034          DOI: 10.1039/c3mb70114j

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  54 in total

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5.  Analysis and design of RNA sequencing experiments for identifying isoform regulation.

Authors:  Yarden Katz; Eric T Wang; Edoardo M Airoldi; Christopher B Burge
Journal:  Nat Methods       Date:  2010-11-07       Impact factor: 28.547

Review 6.  Systems analysis of protein modification and cellular responses induced by electrophile stress.

Authors:  Aaron T Jacobs; Lawrence J Marnett
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9.  Behavioral Characterization of GCLM-Knockout Mice, a Model for Enhanced Susceptibility to Oxidative Stress.

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Journal:  Indian J Pharm Sci       Date:  2008 Mar-Apr       Impact factor: 0.975

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  7 in total

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Journal:  ACS Chem Biol       Date:  2017-06-28       Impact factor: 5.100

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Authors:  Rudolf J Schaur; Werner Siems; Nikolaus Bresgen; Peter M Eckl
Journal:  Biomolecules       Date:  2015-09-30

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Authors:  Kasper W J Derks; Jan H J Hoeijmakers; Joris Pothof
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Journal:  Mol Cell Proteomics       Date:  2015-12-02       Impact factor: 5.911

5.  Quantitative chemoproteomics for site-specific analysis of protein alkylation by 4-hydroxy-2-nonenal in cells.

Authors:  Jing Yang; Keri A Tallman; Ned A Porter; Daniel C Liebler
Journal:  Anal Chem       Date:  2015-02-09       Impact factor: 6.986

6.  Methylglyoxal-derived posttranslational arginine modifications are abundant histone marks.

Authors:  James J Galligan; James A Wepy; Matthew D Streeter; Philip J Kingsley; Michelle M Mitchener; Orrette R Wauchope; William N Beavers; Kristie L Rose; Tina Wang; David A Spiegel; Lawrence J Marnett
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7.  Molecular signatures of multiple myeloma progression through single cell RNA-Seq.

Authors:  Jin Sung Jang; Ying Li; Amit Kumar Mitra; Lintao Bi; Alexej Abyzov; Andre J van Wijnen; Linda B Baughn; Brian Van Ness; Vincent Rajkumar; Shaji Kumar; Jin Jen
Journal:  Blood Cancer J       Date:  2019-01-03       Impact factor: 11.037

  7 in total

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