Literature DB >> 20955712

Epigenetic methodologies for behavioral scientists.

Danielle S Stolzenberg1, Patrick A Grant, Stefan Bekiranov.   

Abstract

Hormones are essential regulators of many behaviors. Steroids bind either to nuclear or membrane receptors while peptides primarily act via membrane receptors. After a ligand binds, the conformational change in the receptor initiates changes in cell signaling cascades (membrane receptors) or direct alternations in DNA transcription (steroid receptors). Changes in gene transcription that result are responsible for protein production and ultimately behavioral modifications. A significant part of how hormones affect DNA transcription is via epigenetic modifications of DNA and/or the chromatin in which it is entwined. These alterations lead to transcriptional changes that ultimately define the phenotype and function of a given cell. Importantly we now know that environmental stimuli influence epigenetic marks, which in the context of neuroendocrinology can lead to behavioral changes. Importantly tracking epigenetic states and profiling the epigenome within cells require the use of epigenetic methodologies and subsequent data analysis. Here we describe the techniques of particular importance in the mapping of DNA methylation, histone modifications and occupancy of chromatin bound effector proteins that regulate gene expression. For researchers wanting to move into these levels of analysis we discuss the application of modern sequencing technologies applied in assays such as chromatin immunoprecipitation and the bioinformatics analysis involved in the rich datasets generated.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20955712      PMCID: PMC3093106          DOI: 10.1016/j.yhbeh.2010.10.007

Source DB:  PubMed          Journal:  Horm Behav        ISSN: 0018-506X            Impact factor:   3.587


  69 in total

1.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

2.  Histone modifications at human enhancers reflect global cell-type-specific gene expression.

Authors:  Nathaniel D Heintzman; Gary C Hon; R David Hawkins; Pouya Kheradpour; Alexander Stark; Lindsey F Harp; Zhen Ye; Leonard K Lee; Rhona K Stuart; Christina W Ching; Keith A Ching; Jessica E Antosiewicz-Bourget; Hui Liu; Xinmin Zhang; Roland D Green; Victor V Lobanenkov; Ron Stewart; James A Thomson; Gregory E Crawford; Manolis Kellis; Bing Ren
Journal:  Nature       Date:  2009-03-18       Impact factor: 49.962

3.  Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals.

Authors:  Mitchell Guttman; Ido Amit; Manuel Garber; Courtney French; Michael F Lin; David Feldser; Maite Huarte; Or Zuk; Bryce W Carey; John P Cassady; Moran N Cabili; Rudolf Jaenisch; Tarjei S Mikkelsen; Tyler Jacks; Nir Hacohen; Bradley E Bernstein; Manolis Kellis; Aviv Regev; John L Rinn; Eric S Lander
Journal:  Nature       Date:  2009-02-01       Impact factor: 49.962

Review 4.  Epigenetic mechanisms mediating the long-term effects of maternal care on development.

Authors:  Frances A Champagne; James P Curley
Journal:  Neurosci Biobehav Rev       Date:  2008-01-18       Impact factor: 8.989

5.  How to map billions of short reads onto genomes.

Authors:  Cole Trapnell; Steven L Salzberg
Journal:  Nat Biotechnol       Date:  2009-05       Impact factor: 54.908

6.  PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls.

Authors:  Joel Rozowsky; Ghia Euskirchen; Raymond K Auerbach; Zhengdong D Zhang; Theodore Gibson; Robert Bjornson; Nicholas Carriero; Michael Snyder; Mark B Gerstein
Journal:  Nat Biotechnol       Date:  2009-01-04       Impact factor: 54.908

7.  Transgenerational rescue of a genetic defect in long-term potentiation and memory formation by juvenile enrichment.

Authors:  Junko A Arai; Shaomin Li; Dean M Hartley; Larry A Feig
Journal:  J Neurosci       Date:  2009-02-04       Impact factor: 6.167

8.  Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data.

Authors:  Anton Valouev; David S Johnson; Andreas Sundquist; Catherine Medina; Elizabeth Anton; Serafim Batzoglou; Richard M Myers; Arend Sidow
Journal:  Nat Methods       Date:  2008-09       Impact factor: 28.547

9.  Differential chromatin marking of introns and expressed exons by H3K36me3.

Authors:  Paulina Kolasinska-Zwierz; Thomas Down; Isabel Latorre; Tao Liu; X Shirley Liu; Julie Ahringer
Journal:  Nat Genet       Date:  2009-02-01       Impact factor: 38.330

10.  Efficient yeast ChIP-Seq using multiplex short-read DNA sequencing.

Authors:  Philippe Lefrançois; Ghia M Euskirchen; Raymond K Auerbach; Joel Rozowsky; Theodore Gibson; Christopher M Yellman; Mark Gerstein; Michael Snyder
Journal:  BMC Genomics       Date:  2009-01-21       Impact factor: 3.969

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  5 in total

Review 1.  DNA methylation: an epigenetic risk factor in preterm birth.

Authors:  Ramkumar Menon; Karen N Conneely; Alicia K Smith
Journal:  Reprod Sci       Date:  2012-01       Impact factor: 3.060

Review 2.  A Molecular Perspective on Procedures and Outcomes with Assisted Reproductive Technologies.

Authors:  Monica A Mainigi; Carmen Sapienza; Samantha Butts; Christos Coutifaris
Journal:  Cold Spring Harb Perspect Med       Date:  2016-04-01       Impact factor: 6.915

3.  Neuroplasticity in addiction: cellular and transcriptional perspectives.

Authors:  Heather B Madsen; Robyn M Brown; Andrew J Lawrence
Journal:  Front Mol Neurosci       Date:  2012-11-12       Impact factor: 5.639

4.  High cortisol in 5-year-old children causes loss of DNA methylation in SINE retrotransposons: a possible role for ZNF263 in stress-related diseases.

Authors:  Daniel Nätt; Ingela Johansson; Tomas Faresjö; Johnny Ludvigsson; Annika Thorsell
Journal:  Clin Epigenetics       Date:  2015-09-04       Impact factor: 6.551

5.  Aging effects on DNA methylation modules in human brain and blood tissue.

Authors:  Steve Horvath; Yafeng Zhang; Peter Langfelder; René S Kahn; Marco P M Boks; Kristel van Eijk; Leonard H van den Berg; Roel A Ophoff
Journal:  Genome Biol       Date:  2012-10-03       Impact factor: 13.583

  5 in total

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