Literature DB >> 33659513

mRNA Extraction from Gill Tissue for RNA-sequencing.

Jukka-Pekka Verta1,2, Felicity Jones2.   

Abstract

Adaptation is thought to proceed in part through spatial and temporal changes in gene expression. Fish species such as the threespine stickleback are powerful vertebrate models to study the genetic architecture of adaptive changes in gene expression since divergent adaptation to different environments is common, they are abundant and easy to study in the wild and lab, and have well-established genetic and genomic resources. Fish gills, due to their respiratory and osmoregulatory roles, show many physiological adaptations to local water chemistry, including differences in gene expression. However, obtaining high-quality RNA using popular column-based extraction methods can be challenging from small tissue samples high in cartilage and bone such as fish gills. Here, we describe a bead-based mRNA extraction and transcriptome RNA-seq protocol that does not use purification columns. The protocol can be readily scaled according to sample size for the purposes of diverse gene expression experiments using animal or plant tissue. ©Copyright Verta and Jones.

Entities:  

Keywords:  Direct mRNA extraction; Gene expression evolution; Gene regulation; Gills; Transcriptome sequencing

Year:  2020        PMID: 33659513      PMCID: PMC7842710          DOI: 10.21769/BioProtoc.3539

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  12 in total

1.  The transcriptional landscape of seasonal coat colour moult in the snowshoe hare.

Authors:  Mafalda S Ferreira; Paulo C Alves; Colin M Callahan; João P Marques; L Scott Mills; Jeffrey M Good; José Melo-Ferreira
Journal:  Mol Ecol       Date:  2017-06-07       Impact factor: 6.185

2.  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

3.  Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.

Authors:  Cole Trapnell; Adam Roberts; Loyal Goff; Geo Pertea; Daehwan Kim; David R Kelley; Harold Pimentel; Steven L Salzberg; John L Rinn; Lior Pachter
Journal:  Nat Protoc       Date:  2012-03-01       Impact factor: 13.491

4.  Polygenic selection drives the evolution of convergent transcriptomic landscapes across continents within a Nearctic sister species complex.

Authors:  Clément Rougeux; Pierre-Alexandre Gagnaire; Kim Praebel; Ole Seehausen; Louis Bernatchez
Journal:  Mol Ecol       Date:  2019-09-26       Impact factor: 6.185

5.  Dissection of expression-quantitative trait locus and allele specificity using a haploid/diploid plant system - insights into compensatory evolution of transcriptional regulation within populations.

Authors:  Jukka-Pekka Verta; Christian R Landry; John MacKay
Journal:  New Phytol       Date:  2016-02-19       Impact factor: 10.151

6.  fastp: an ultra-fast all-in-one FASTQ preprocessor.

Authors:  Shifu Chen; Yanqing Zhou; Yaru Chen; Jia Gu
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

7.  Predominance of cis-regulatory changes in parallel expression divergence of sticklebacks.

Authors:  Jukka-Pekka Verta; Felicity C Jones
Journal:  Elife       Date:  2019-05-15       Impact factor: 8.140

8.  The genomic basis of adaptive evolution in threespine sticklebacks.

Authors:  Felicity C Jones; Manfred G Grabherr; Yingguang Frank Chan; Pamela Russell; Evan Mauceli; Jeremy Johnson; Ross Swofford; Mono Pirun; Michael C Zody; Simon White; Ewan Birney; Stephen Searle; Jeremy Schmutz; Jane Grimwood; Mark C Dickson; Richard M Myers; Craig T Miller; Brian R Summers; Anne K Knecht; Shannon D Brady; Haili Zhang; Alex A Pollen; Timothy Howes; Chris Amemiya; Jen Baldwin; Toby Bloom; David B Jaffe; Robert Nicol; Jane Wilkinson; Eric S Lander; Federica Di Palma; Kerstin Lindblad-Toh; David M Kingsley
Journal:  Nature       Date:  2012-04-04       Impact factor: 49.962

9.  Improving the Annotation of Arabidopsis lyrata Using RNA-Seq Data.

Authors:  Vimal Rawat; Ahmed Abdelsamad; Björn Pietzenuk; Danelle K Seymour; Daniel Koenig; Detlef Weigel; Ales Pecinka; Korbinian Schneeberger
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

10.  RNA-seq: impact of RNA degradation on transcript quantification.

Authors:  Irene Gallego Romero; Athma A Pai; Jenny Tung; Yoav Gilad
Journal:  BMC Biol       Date:  2014-05-30       Impact factor: 7.431

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