Literature DB >> 29177664

A Workflow Guide to RNA-seq Analysis of Chaperone Function and Beyond.

Benjamin J Lang1, Kristina M Holton2, Jianlin Gong3, Stuart K Calderwood4.   

Abstract

RNA sequencing (RNA-seq) is a powerful method of transcript analysis that allows for the sequence identification and quantification of cellular transcripts. RNA-seq has many applications including differential gene expression (DE) analysis, gene fusion detection, allele-specific expression, isoform and splice variant quantification, and identification of novel genes. These applications can be used for downstream systems biology analyses such as gene ontology analysis to provide insights into cellular processes altered between biological conditions. Given the wide range of signaling pathways subject to chaperone activity as well as numerous chaperone functions in RNA metabolism, RNA-seq may provide a valuable tool for the study of chaperone proteins in biology and disease. This chapter outlines an example RNA-seq workflow to determine differentially expressed (DE) genes between two or more sample conditions and provides some considerations for RNA-seq experimental design.

Entities:  

Keywords:  Chaperones; Differential gene expression; GOseq; Gene ontology; Heat shock proteins; RNA sample collection; RNA-seq; cDNA library construction; edgeR

Mesh:

Substances:

Year:  2018        PMID: 29177664      PMCID: PMC7336811          DOI: 10.1007/978-1-4939-7477-1_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  49 in total

1.  In vitro assembly of plant RNA-induced silencing complexes facilitated by molecular chaperone HSP90.

Authors:  Taichiro Iki; Manabu Yoshikawa; Masaki Nishikiori; Mauren C Jaudal; Eiko Matsumoto-Yokoyama; Ichiro Mitsuhara; Tetsuo Meshi; Masayuki Ishikawa
Journal:  Mol Cell       Date:  2010-06-03       Impact factor: 17.970

2.  RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays.

Authors:  John C Marioni; Christopher E Mason; Shrikant M Mane; Matthew Stephens; Yoav Gilad
Journal:  Genome Res       Date:  2008-06-11       Impact factor: 9.043

Review 3.  Design and validation issues in RNA-seq experiments.

Authors:  Zhide Fang; Xiangqin Cui
Journal:  Brief Bioinform       Date:  2011-04-15       Impact factor: 11.622

4.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

5.  Mammalian Hsp70 and Hsp110 proteins bind to RNA motifs involved in mRNA stability.

Authors:  T Henics; E Nagy; H J Oh; P Csermely; A von Gabain; J R Subjeck
Journal:  J Biol Chem       Date:  1999-06-11       Impact factor: 5.157

6.  HSP90 and its R2TP/Prefoldin-like cochaperone are involved in the cytoplasmic assembly of RNA polymerase II.

Authors:  Séverine Boulon; Bérengère Pradet-Balade; Céline Verheggen; Dorothée Molle; Stéphanie Boireau; Marya Georgieva; Karim Azzag; Marie-Cécile Robert; Yasmeen Ahmad; Henry Neel; Angus I Lamond; Edouard Bertrand
Journal:  Mol Cell       Date:  2010-09-24       Impact factor: 17.970

7.  Biases in Illumina transcriptome sequencing caused by random hexamer priming.

Authors:  Kasper D Hansen; Steven E Brenner; Sandrine Dudoit
Journal:  Nucleic Acids Res       Date:  2010-04-14       Impact factor: 16.971

8.  Transcript length bias in RNA-seq data confounds systems biology.

Authors:  Alicia Oshlack; Matthew J Wakefield
Journal:  Biol Direct       Date:  2009-04-16       Impact factor: 4.540

9.  Second-Generation HSP90 Inhibitor Onalespib Blocks mRNA Splicing of Androgen Receptor Variant 7 in Prostate Cancer Cells.

Authors:  Roberta Ferraldeschi; Jonathan Welti; Marissa V Powers; Wei Yuan; Tomoko Smyth; George Seed; Ruth Riisnaes; Somaieh Hedayat; Hannah Wang; Mateus Crespo; Daniel Nava Rodrigues; Ines Figueiredo; Susana Miranda; Suzanne Carreira; John F Lyons; Swee Sharp; Stephen R Plymate; Gerhardt Attard; Nicola Wallis; Paul Workman; Johann S de Bono
Journal:  Cancer Res       Date:  2016-05-01       Impact factor: 12.701

10.  FLEXBAR-Flexible Barcode and Adapter Processing for Next-Generation Sequencing Platforms.

Authors:  Matthias Dodt; Johannes T Roehr; Rina Ahmed; Christoph Dieterich
Journal:  Biology (Basel)       Date:  2012-12-14
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  1 in total

1.  Extracellular Hsp90α stimulates a unique innate gene profile in microglial cells with simultaneous activation of Nrf2 and protection from oxidative stress.

Authors:  Yuka Okusha; Benjamin J Lang; Ayesha Murshid; Thiago J Borges; Kristina M Holton; Joanne Clark-Matott; Sachin Doshi; Tsuneya Ikezu; Stuart K Calderwood
Journal:  Cell Stress Chaperones       Date:  2022-06-10       Impact factor: 3.827

  1 in total

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