Fast genomic μChIP-chip from 1,000 cells

被引：0
|
作者：
John Arne Dahl
Andrew H Reiner
Philippe Collas
机构：
[1] Faculty of Medicine,Institute of Basic Medical Sciences, Department of Biochemistry
[2] University of Oslo,undefined
来源：
Genome Biology | / 10卷
关键词：
Transcription Start Site; Additional Data File; Catalogue Number; Whole Genome Amplification; Qubit Fluorometer;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Genome-wide location analysis of histone modifications and transcription factor binding relies on chromatin immunoprecipitation (ChIP) assays. These assays are, however, time-consuming and require large numbers of cells, hindering their application to the analysis of many interesting cell types. We report here a fast microChIP (μChIP) assay for 1,000 cells in combination with microarrays to produce genome-scale surveys of histone modifications. μChIP-chip reliably reproduces data obtained by large-scale assays: H3K9ac and H3K9m3 enrichment profiles are conserved and nucleosome-free regions are revealed.
引用
收藏
相关论文
共 50 条
  • [1] Fast genomic μChIP-chip from 1,000 cells
    Dahl, John Arne
    Reiner, Andrew H.
    Collas, Philippe
    GENOME BIOLOGY, 2009, 10 (02):
  • [2] Computing - 1,000 cores on a chip
    McLaughlin, Laurianne
    TECHNOLOGY REVIEW, 2006, 109 (03) : 18 - 18
  • [3] Genome-scale ChIP-chip analysis using 10,000 human cells
    Acevedo, Luis G.
    Iniguez, A. Leonardo
    Holster, Heather L.
    Zhang, Xinmin
    Green, Roland
    Farnham, Peggy J.
    BIOTECHNIQUES, 2007, 43 (06) : 791 - 797
  • [4] ChIP-chip: A genomic approach for identifying transcription factor binding sites
    Horak, CE
    Snyder, M
    GUIDE TO YEAST GENETICS AND MOLECULAR AND CELL BIOLOGY, PT B, 2002, 350 : 469 - 483
  • [5] Computational Reconstruction of Transcriptional Relationships from ChIP-Chip Data
    Ngoc Tu Le
    Tu Bao Ho
    Bich Hai Ho
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2013, 10 (02) : 300 - 307
  • [6] A Widespread Distribution of Genomic CeMyoD Binding Sites Revealed and Cross Validated by ChIP-Chip and ChIP-Seq Techniques
    Lei, Haiyan
    Fukushige, Tetsunari
    Niu, Wei
    Sarov, Mihail
    Reinke, Valerie
    Krause, Michael
    PLOS ONE, 2010, 5 (12):
  • [7] Integrating quantitative information from ChIP-chip experiments into motif finding
    Shim, Heejung
    Keles, Sunduz
    BIOSTATISTICS, 2008, 9 (01) : 51 - 65
  • [8] Inferring transcriptional modules from ChIP-chip, motif and microarray data
    Karen Lemmens
    Thomas Dhollander
    Tijl De Bie
    Pieter Monsieurs
    Kristof Engelen
    Bart Smets
    Joris Winderickx
    Bart De Moor
    Kathleen Marchal
    Genome Biology, 7
  • [9] Inferring transcriptional modules from ChIP-chip, motif and microarray data
    Lemmens, Karen
    Dhollander, Thomas
    De Bie, Tijl
    Monsieurs, Pieter
    Engelen, Kristof
    Smets, Bart
    Winderickx, Joris
    De Moor, Bart
    Marchal, Kathleen
    GENOME BIOLOGY, 2006, 7 (05)
  • [10] Discovering transcriptional modules from motif, chip-chip and microarray data
    De Bie, T
    Monsieurs, P
    Engelen, K
    De Moor, B
    Cristianini, N
    Marchal, K
    PACIFIC SYMPOSIUM ON BIOCOMPUTING 2005, 2005, : 483 - 494
12345