Literature DB >> 29155729

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish.

Timothy L Hostelley1, Jessica E Nesmith1, Norann A Zaghloul2.   

Abstract

The analysis of global gene expression changes is a valuable tool for identifying novel pathways underlying observed phenotypes. The zebrafish is an excellent model for rapid assessment of whole transcriptome from whole animal or individual cell populations due to the ease of isolation of RNA from large numbers of animals. Here a protocol for global gene expression analysis in zebrafish embryos using RNA sequencing (RNASeq) is presented. We describe preparation of RNA from whole embryos or from cell populations obtained using cell sorting in transgenic animals. We also describe an approach for analysis of RNASeq data to identify enriched pathways and Gene Ontology (GO) terms in global gene expression data sets. Finally, we provide a protocol for validation of gene expression changes using quantitative reverse transcriptase PCR (qRT-PCR). These protocols can be used for comparative analysis of control and experimental sets of zebrafish to identify novel gene expression changes, and provide molecular insight into phenotypes of interest.

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Year:  2017        PMID: 29155729      PMCID: PMC5755256          DOI: 10.3791/56187

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  10 in total

1.  Microinjection of zebrafish embryos to analyze gene function.

Authors:  Jonathan N Rosen; Michael F Sweeney; John D Mably
Journal:  J Vis Exp       Date:  2009-03-09       Impact factor: 1.355

2.  Real time quantitative PCR.

Authors:  C A Heid; J Stevens; K J Livak; P M Williams
Journal:  Genome Res       Date:  1996-10       Impact factor: 9.043

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Authors:  Carmen C Leitch; Sukanya Lodh; Victoria Prieto-Echagüe; Jose L Badano; Norann A Zaghloul
Journal:  J Cell Sci       Date:  2014-03-28       Impact factor: 5.285

4.  Stages of embryonic development of the zebrafish.

Authors:  C B Kimmel; W W Ballard; S R Kimmel; B Ullmann; T F Schilling
Journal:  Dev Dyn       Date:  1995-07       Impact factor: 3.780

5.  Genetic compensation induced by deleterious mutations but not gene knockdowns.

Authors:  Andrea Rossi; Zacharias Kontarakis; Claudia Gerri; Hendrik Nolte; Soraya Hölper; Marcus Krüger; Didier Y R Stainier
Journal:  Nature       Date:  2015-07-13       Impact factor: 49.962

6.  Differential effects on β-cell mass by disruption of Bardet-Biedl syndrome or Alstrom syndrome genes.

Authors:  Sukanya Lodh; Timothy L Hostelley; Carmen C Leitch; Elizabeth A O'Hare; Norann A Zaghloul
Journal:  Hum Mol Genet       Date:  2015-10-22       Impact factor: 6.150

7.  Isolation and Characterization of Single Cells from Zebrafish Embryos.

Authors:  Leigh Ann Samsa; Nicole Fleming; Scott Magness; Li Qian; Jiandong Liu
Journal:  J Vis Exp       Date:  2016-03-12       Impact factor: 1.355

8.  Efficient genome editing in zebrafish using a CRISPR-Cas system.

Authors:  Woong Y Hwang; Yanfang Fu; Deepak Reyon; Morgan L Maeder; Shengdar Q Tsai; Jeffry D Sander; Randall T Peterson; J-R Joanna Yeh; J Keith Joung
Journal:  Nat Biotechnol       Date:  2013-01-29       Impact factor: 54.908

9.  Regular care and maintenance of a zebrafish (Danio rerio) laboratory: an introduction.

Authors:  Avdesh Avdesh; Mengqi Chen; Mathew T Martin-Iverson; Alinda Mondal; Daniel Ong; Stephanie Rainey-Smith; Kevin Taddei; Michael Lardelli; David M Groth; Giuseppe Verdile; Ralph N Martins
Journal:  J Vis Exp       Date:  2012-11-18       Impact factor: 1.355

10.  Whole organism transcriptome analysis of zebrafish models of Bardet-Biedl Syndrome and Alström Syndrome provides mechanistic insight into shared and divergent phenotypes.

Authors:  Timothy L Hostelley; Sukanya Lodh; Norann A Zaghloul
Journal:  BMC Genomics       Date:  2016-05-03       Impact factor: 3.969

  10 in total
  2 in total

1.  Genomic knockout of alms1 in zebrafish recapitulates Alström syndrome and provides insight into metabolic phenotypes.

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Journal:  Hum Mol Genet       Date:  2019-07-01       Impact factor: 6.150

2.  ZRANB3 is an African-specific type 2 diabetes locus associated with beta-cell mass and insulin response.

Authors:  Adebowale A Adeyemo; Norann A Zaghloul; Guanjie Chen; Ayo P Doumatey; Carmen C Leitch; Timothy L Hostelley; Jessica E Nesmith; Jie Zhou; Amy R Bentley; Daniel Shriner; Olufemi Fasanmade; Godfrey Okafor; Benjamin Eghan; Kofi Agyenim-Boateng; Settara Chandrasekharappa; Jokotade Adeleye; William Balogun; Samuel Owusu; Albert Amoah; Joseph Acheampong; Thomas Johnson; Johnnie Oli; Clement Adebamowo; Francis Collins; Georgia Dunston; Charles N Rotimi
Journal:  Nat Commun       Date:  2019-07-19       Impact factor: 14.919

  2 in total

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