Literature DB >> 28510076

Application of a systems approach to study developmental gene regulation.

Joshua W K Ho1.   

Abstract

All cells in a multicellular organism contain the same genome, yet different cell types express different sets of genes. Recent advances in high throughput genomic technologies have opened up new opportunities to understand the gene regulatory network in diverse cell types in a genome-wide manner. Here, I discuss recent advances in experimental and computational approaches for the study of gene regulation in embryonic development from a systems perspective. This review is written for computational biologists who have an interest in studying developmental gene regulation through integrative analysis of gene expression, chromatin landscape, and signaling pathways. I highlight the utility of publicly available data and tools, as well as some common analysis approaches.

Keywords:  ChIP-seq; Computational biophysics; Developmental signaling; Epigenomics; Gene regulatory network; Histone modification

Year:  2012        PMID: 28510076      PMCID: PMC5418408          DOI: 10.1007/s12551-012-0092-9

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  61 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays.

Authors:  John C Marioni; Christopher E Mason; Shrikant M Mane; Matthew Stephens; Yoav Gilad
Journal:  Genome Res       Date:  2008-06-11       Impact factor: 9.043

3.  Using galaxy to perform large-scale interactive data analyses.

Authors:  James Taylor; Ian Schenck; Dan Blankenberg; Anton Nekrutenko
Journal:  Curr Protoc Bioinformatics       Date:  2007-09

4.  A gene regulatory network controlling the embryonic specification of endoderm.

Authors:  Isabelle S Peter; Eric H Davidson
Journal:  Nature       Date:  2011-05-29       Impact factor: 49.962

5.  Testing and Validating Machine Learning Classifiers by Metamorphic Testing.

Authors:  Xiaoyuan Xie; Joshua W K Ho; Christian Murphy; Gail Kaiser; Baowen Xu; Tsong Yueh Chen
Journal:  J Syst Softw       Date:  2011-04-01       Impact factor: 2.829

6.  A Wnt-bmp feedback circuit controls intertissue signaling dynamics in tooth organogenesis.

Authors:  Daniel J O'Connell; Joshua W K Ho; Tadanori Mammoto; Annick Turbe-Doan; Joyce T O'Connell; Psalm S Haseley; Samuel Koo; Nobuhiro Kamiya; Donald E Ingber; Peter J Park; Richard L Maas
Journal:  Sci Signal       Date:  2012-01-10       Impact factor: 8.192

7.  A user's guide to the encyclopedia of DNA elements (ENCODE).

Authors: 
Journal:  PLoS Biol       Date:  2011-04-19       Impact factor: 8.029

8.  ChIP-chip versus ChIP-seq: lessons for experimental design and data analysis.

Authors:  Joshua W K Ho; Eric Bishop; Peter V Karchenko; Nicolas Nègre; Kevin P White; Peter J Park
Journal:  BMC Genomics       Date:  2011-02-28       Impact factor: 3.969

9.  Bridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity.

Authors:  Esti Yeger-Lotem; Laura Riva; Linhui Julie Su; Aaron D Gitler; Anil G Cashikar; Oliver D King; Pavan K Auluck; Melissa L Geddie; Julie S Valastyan; David R Karger; Susan Lindquist; Ernest Fraenkel
Journal:  Nat Genet       Date:  2009-02-22       Impact factor: 38.330

10.  Design and analysis of ChIP-seq experiments for DNA-binding proteins.

Authors:  Peter V Kharchenko; Michael Y Tolstorukov; Peter J Park
Journal:  Nat Biotechnol       Date:  2008-11-16       Impact factor: 54.908

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  1 in total

1.  How difficult is inference of mammalian causal gene regulatory networks?

Authors:  Djordje Djordjevic; Andrian Yang; Armella Zadoorian; Kevin Rungrugeecharoen; Joshua W K Ho
Journal:  PLoS One       Date:  2014-11-04       Impact factor: 3.240

  1 in total

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