Literature DB >> 33977454

Coupled Transcriptomics for Differential Expression Analysis and Determination of Transcription Start Sites: Design and Bioinformatics.

Antonio Rodríguez-García1, Alberto Sola-Landa2, Rosario Pérez-Redondo2.   

Abstract

The term coupled transcriptomics is coined to describe a design of an RNA-seq experiment intended for both differential expression analysis and genome-wide determination of the transcription start sites (TSS). The minimal requirements for the first analysis are two experimental conditions with at least two biological replicates enabling statistical tests. The second analysis involves the bioinformatics comparison of the data generated from a control RNA-seq library with another library enriched in primary transcripts using Terminator™ 5'-phosphate-dependent exonuclease, in an experiment denominated differential RNA-seq (dRNA-seq). Usually, dRNA-seq is carried out with specific protocols for library construction, different of those used for common differential expression analysis. Our experimental design allows to use the same data for both analyses, reducing the number of libraries to be generated and sequenced. This is a guide for designing a coupled transcriptomics experiment and for the subsequent bioinformatics procedures. The proposed methods can be applied to the detection and study of small RNA genes.

Entities:  

Keywords:  Differential expression; RNA-seq; TSSpredator; Transcription start site; Transcriptomics; dRNA-seq; sRNA

Year:  2021        PMID: 33977454     DOI: 10.1007/978-1-0716-1358-0_16

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


  23 in total

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5.  Differential RNA-seq: the approach behind and the biological insight gained.

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Journal:  Curr Opin Microbiol       Date:  2014-07-12       Impact factor: 7.934

6.  Gene discovery and annotation using LCM-454 transcriptome sequencing.

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8.  Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach.

Authors:  Matthew N Bainbridge; René L Warren; Martin Hirst; Tammy Romanuik; Thomas Zeng; Anne Go; Allen Delaney; Malachi Griffith; Matthew Hickenbotham; Vincent Magrini; Elaine R Mardis; Marianne D Sadar; Asim S Siddiqui; Marco A Marra; Steven J M Jones
Journal:  BMC Genomics       Date:  2006-09-29       Impact factor: 3.969

9.  Comparison of RNA-Seq and microarray in transcriptome profiling of activated T cells.

Authors:  Shanrong Zhao; Wai-Ping Fung-Leung; Anton Bittner; Karen Ngo; Xuejun Liu
Journal:  PLoS One       Date:  2014-01-16       Impact factor: 3.240

10.  Prediction and characterization of small non-coding RNAs related to secondary metabolites in Saccharopolyspora erythraea.

Authors:  Wei-Bing Liu; Yang Shi; Li-Li Yao; Ying Zhou; Bang-Ce Ye
Journal:  PLoS One       Date:  2013-11-13       Impact factor: 3.240

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