Literature DB >> 26410031

Getting Down to Specifics: Profiling Gene Expression and Protein-DNA Interactions in a Cell Type-Specific Manner.

Colin D McClure1, Tony D Southall1.   

Abstract

The majority of multicellular organisms are comprised of an extraordinary range of cell types, with different properties and gene expression profiles. Understanding what makes each cell type unique and how their individual characteristics are attributed are key questions for both developmental and neurobiologists alike. The brain is an excellent example of the cellular diversity expressed in the majority of eukaryotes. The mouse brain comprises of approximately 75 million neurons varying in morphology, electrophysiology, and preferences for synaptic partners. A powerful process in beginning to pick apart the mechanisms that specify individual characteristics of the cell, as well as their fate, is to profile gene expression patterns, chromatin states, and transcriptional networks in a cell type-specific manner, i.e., only profiling the cells of interest in a particular tissue. Depending on the organism, the questions being investigated, and the material available, certain cell type-specific profiling methods are more suitable than others. This chapter reviews the approaches presently available for selecting and isolating specific cell types and evaluates their key features.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BiTS-ChIP; Cell isolation; Cell type-specific profiling; ChIP; FACS; INTACT; MACS; Model organisms; Targeted DamID (TaDa); Transcriptomics

Mesh:

Substances:

Year:  2015        PMID: 26410031      PMCID: PMC4604662          DOI: 10.1016/bs.adgen.2015.06.003

Source DB:  PubMed          Journal:  Adv Genet        ISSN: 0065-2660            Impact factor:   1.944


  238 in total

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Authors:  T Osterwalder; K S Yoon; B H White; H Keshishian
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2.  Laser capture microdissection of cells from plant tissues.

Authors:  Nancy M Kerk; Teresa Ceserani; S Lorraine Tausta; Ian M Sussex; Timothy M Nelson
Journal:  Plant Physiol       Date:  2003-05       Impact factor: 8.340

3.  Affinity-based isolation of tagged nuclei from Drosophila tissues for gene expression analysis.

Authors:  Jingqun Ma; Vikki Marie Weake
Journal:  J Vis Exp       Date:  2014-03-25       Impact factor: 1.355

4.  Generalized lacZ expression with the ROSA26 Cre reporter strain.

Authors:  P Soriano
Journal:  Nat Genet       Date:  1999-01       Impact factor: 38.330

5.  The GAL4 System: A Versatile Toolkit for Gene Expression in Drosophila.

Authors:  Tony D Southall; David A Elliott; Andrea H Brand
Journal:  CSH Protoc       Date:  2008-07-01

6.  Cell-type-specific nuclei purification from whole animals for genome-wide expression and chromatin profiling.

Authors:  Florian A Steiner; Paul B Talbert; Sivakanthan Kasinathan; Roger B Deal; Steven Henikoff
Journal:  Genome Res       Date:  2012-01-04       Impact factor: 9.043

7.  Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project.

Authors:  Mark B Gerstein; Zhi John Lu; Eric L Van Nostrand; Chao Cheng; Bradley I Arshinoff; Tao Liu; Kevin Y Yip; Rebecca Robilotto; Andreas Rechtsteiner; Kohta Ikegami; Pedro Alves; Aurelien Chateigner; Marc Perry; Mitzi Morris; Raymond K Auerbach; Xin Feng; Jing Leng; Anne Vielle; Wei Niu; Kahn Rhrissorrakrai; Ashish Agarwal; Roger P Alexander; Galt Barber; Cathleen M Brdlik; Jennifer Brennan; Jeremy Jean Brouillet; Adrian Carr; Ming-Sin Cheung; Hiram Clawson; Sergio Contrino; Luke O Dannenberg; Abby F Dernburg; Arshad Desai; Lindsay Dick; Andréa C Dosé; Jiang Du; Thea Egelhofer; Sevinc Ercan; Ghia Euskirchen; Brent Ewing; Elise A Feingold; Reto Gassmann; Peter J Good; Phil Green; Francois Gullier; Michelle Gutwein; Mark S Guyer; Lukas Habegger; Ting Han; Jorja G Henikoff; Stefan R Henz; Angie Hinrichs; Heather Holster; Tony Hyman; A Leo Iniguez; Judith Janette; Morten Jensen; Masaomi Kato; W James Kent; Ellen Kephart; Vishal Khivansara; Ekta Khurana; John K Kim; Paulina Kolasinska-Zwierz; Eric C Lai; Isabel Latorre; Amber Leahey; Suzanna Lewis; Paul Lloyd; Lucas Lochovsky; Rebecca F Lowdon; Yaniv Lubling; Rachel Lyne; Michael MacCoss; Sebastian D Mackowiak; Marco Mangone; Sheldon McKay; Desirea Mecenas; Gennifer Merrihew; David M Miller; Andrew Muroyama; John I Murray; Siew-Loon Ooi; Hoang Pham; Taryn Phippen; Elicia A Preston; Nikolaus Rajewsky; Gunnar Rätsch; Heidi Rosenbaum; Joel Rozowsky; Kim Rutherford; Peter Ruzanov; Mihail Sarov; Rajkumar Sasidharan; Andrea Sboner; Paul Scheid; Eran Segal; Hyunjin Shin; Chong Shou; Frank J Slack; Cindie Slightam; Richard Smith; William C Spencer; E O Stinson; Scott Taing; Teruaki Takasaki; Dionne Vafeados; Ksenia Voronina; Guilin Wang; Nicole L Washington; Christina M Whittle; Beijing Wu; Koon-Kiu Yan; Georg Zeller; Zheng Zha; Mei Zhong; Xingliang Zhou; Julie Ahringer; Susan Strome; Kristin C Gunsalus; Gos Micklem; X Shirley Liu; Valerie Reinke; Stuart K Kim; LaDeana W Hillier; Steven Henikoff; Fabio Piano; Michael Snyder; Lincoln Stein; Jason D Lieb; Robert H Waterston
Journal:  Science       Date:  2010-12-22       Impact factor: 47.728

8.  Development of translating ribosome affinity purification for zebrafish.

Authors:  Robert C Tryon; Nilambari Pisat; Stephen L Johnson; Joseph D Dougherty
Journal:  Genesis       Date:  2013-02-26       Impact factor: 2.487

9.  Mouse TU tagging: a chemical/genetic intersectional method for purifying cell type-specific nascent RNA.

Authors:  Leslie Gay; Michael R Miller; P Britten Ventura; Vidusha Devasthali; Zer Vue; Heather L Thompson; Sally Temple; Hui Zong; Michael D Cleary; Kryn Stankunas; Chris Q Doe
Journal:  Genes Dev       Date:  2013-01-01       Impact factor: 11.361

10.  Temporally and spatially restricted gene expression profiling.

Authors:  Alexandra Tallafuss; Philip Washbourne; John Postlethwait
Journal:  Curr Genomics       Date:  2014-08       Impact factor: 2.236

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  4 in total

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Journal:  Mol Neurobiol       Date:  2016-09-03       Impact factor: 5.590

2.  Target Gene Prediction of Transcription Factor Using a New Neighborhood-regularized Tri-factorization One-class Collaborative Filtering Algorithm.

Authors:  Hansaim Lim; Lei Xie
Journal:  ACM BCB       Date:  2018 Aug-Sep

3.  Genome-Wide Approaches to Drosophila Heart Development.

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Journal:  J Cardiovasc Dev Dis       Date:  2016-05-27

4.  CATaDa reveals global remodelling of chromatin accessibility during stem cell differentiation in vivo.

Authors:  Gabriel N Aughey; Alicia Estacio Gomez; Jamie Thomson; Hang Yin; Tony D Southall
Journal:  Elife       Date:  2018-02-26       Impact factor: 8.140

  4 in total

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