Literature DB >> 32076350

A whole-tissue RNA-seq toolkit for organism-wide studies of gene expression with PME-seq.

Surya Pandey1, Michihiro Takahama1, Adam Gruenbaum1, Makda Zewde1, Katerina Cheronis1, Nicolas Chevrier2.   

Abstract

The immune system operates at the scale of the whole organism in mammals. We currently lack experimental approaches to systematically track and study organism-wide molecular processes in mice. Here we describe an integrated toolkit for measuring gene expression in whole tissues, 3-prime mRNA extension sequencing, that is applicable to most mouse organs and any mouse model of interest. Further, the methods of RNA-seq described in this protocol are broadly applicable to other sample types beyond whole organs, such as tissue samples or isolated cell populations. We report procedures to collect, store and lyse a dozen organ types using conditions compatible with the extraction of high-quality RNA. In addition, we detail protocols to perform high-throughput and low-cost RNA extraction and sequencing, as well as downstream data analysis. The protocol takes 5 d to process 384 mouse organs from collecting tissues to obtaining raw sequencing data, with additional time required for data analysis and mining. The protocol is accessible to individuals with basic skills in (i) mouse perfusion and dissection for sample collection and (ii) computation using Unix and R for data analysis. Overall, the methods presented here fill a gap in our toolbox for studying organism-wide processes in immunology and physiology.

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Year:  2020        PMID: 32076350      PMCID: PMC7872736          DOI: 10.1038/s41596-019-0291-y

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  1 in total

1.  Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data.

Authors:  Konstantin Okonechnikov; Ana Conesa; Fernando García-Alcalde
Journal:  Bioinformatics       Date:  2015-10-01       Impact factor: 6.937

  1 in total
  1 in total

1.  Prime-seq, efficient and powerful bulk RNA sequencing.

Authors:  Aleksandar Janjic; Lucas E Wange; Johannes W Bagnoli; Johanna Geuder; Phong Nguyen; Daniel Richter; Beate Vieth; Binje Vick; Irmela Jeremias; Christoph Ziegenhain; Ines Hellmann; Wolfgang Enard
Journal:  Genome Biol       Date:  2022-03-31       Impact factor: 13.583

  1 in total

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