Literature DB >> 25406837

RNA-Seq analysis of differential gene expression in electroporated chick embryonic spinal cord.

Felipe M Vieceli1, C Y Irene Yan2.   

Abstract

In ovo electroporation of the chick neural tube is a fast and inexpensive method for identification of gene function during neural development. Genome wide analysis of differentially expressed transcripts after such an experimental manipulation has the potential to uncover an almost complete picture of the downstream effects caused by the transfected construct. This work describes a simple method for comparing transcriptomes from samples of transfected embryonic spinal cords comprising all steps between electroporation and identification of differentially expressed transcripts. The first stage consists of guidelines for electroporation and instructions for dissection of transfected spinal cord halves from HH23 embryos in ribonuclease-free environment and extraction of high-quality RNA samples suitable for transcriptome sequencing. The next stage is that of bioinformatic analysis with general guidelines for filtering and comparison of RNA-Seq datasets in the Galaxy public server, which eliminates the need of a local computational structure for small to medium scale experiments. The representative results show that the dissection methods generate high quality RNA samples and that the transcriptomes obtained from two control samples are essentially the same, an important requirement for detection of differential expression genes in experimental samples. Furthermore, one example is provided where experimental overexpression of a DNA construct can be visually verified after comparison with control samples. The application of this method may be a powerful tool to facilitate new discoveries on the function of neural factors involved in spinal cord early development.

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Mesh:

Year:  2014        PMID: 25406837      PMCID: PMC4353420          DOI: 10.3791/51951

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


  23 in total

Review 1.  'Shocking' developments in chick embryology: electroporation and in ovo gene expression.

Authors:  N Itasaki; S Bel-Vialar; R Krumlauf
Journal:  Nat Cell Biol       Date:  1999-12       Impact factor: 28.824

Review 2.  Sparking new frontiers: using in vivo electroporation for genetic manipulations.

Authors:  M Swartz; J Eberhart; G S Mastick; C E Krull
Journal:  Dev Biol       Date:  2001-05-01       Impact factor: 3.582

3.  Gene silencing in chick embryos with a vector-based small interfering RNA system.

Authors:  Tatsuya Katahira; Harukazu Nakamura
Journal:  Dev Growth Differ       Date:  2003-08       Impact factor: 2.053

4.  Plasmid-based short-hairpin RNA interference in the chicken embryo.

Authors:  Catherine Chesnutt; Lee Niswander
Journal:  Genesis       Date:  2004-06       Impact factor: 2.487

5.  Mapping and quantifying mammalian transcriptomes by RNA-Seq.

Authors:  Ali Mortazavi; Brian A Williams; Kenneth McCue; Lorian Schaeffer; Barbara Wold
Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

6.  Stem cell transcriptome profiling via massive-scale mRNA sequencing.

Authors:  Nicole Cloonan; Alistair R R Forrest; Gabriel Kolle; Brooke B A Gardiner; Geoffrey J Faulkner; Mellissa K Brown; Darrin F Taylor; Anita L Steptoe; Shivangi Wani; Graeme Bethel; Alan J Robertson; Andrew C Perkins; Stephen J Bruce; Clarence C Lee; Swati S Ranade; Heather E Peckham; Jonathan M Manning; Kevin J McKernan; Sean M Grimmond
Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

7.  In ovo electroporations of HH stage 10 chicken embryos.

Authors:  Marissa C Blank; Victor Chizhikov; Kathleen J Millen
Journal:  J Vis Exp       Date:  2007-11-01       Impact factor: 1.355

8.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.

Authors:  Jeremy Goecks; Anton Nekrutenko; James Taylor
Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

9.  Use of the viral 2A peptide for bicistronic expression in transgenic mice.

Authors:  Georgios Trichas; Jo Begbie; Shankar Srinivas
Journal:  BMC Biol       Date:  2008-09-15       Impact factor: 7.431

10.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Authors:  Daehwan Kim; Geo Pertea; Cole Trapnell; Harold Pimentel; Ryan Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2013-04-25       Impact factor: 13.583

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