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Series GSE42147 Query DataSets for GSE42147
Status Public on Dec 03, 2012
Title Limitations and possibilities of low cell number ChIP-seq
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary ChIP-seq experiments using low numbers of input cells, scaled down to the point where data quality is unnacceptably compromised, reveals limits of the technique.
 
Overall design Two-part ChIPseq study using native chromatin (non-crosslinked) generated with MNase from human CD4+ cells. Part 1: Previously published protocol (Barski et al, 2007, Cell 129:823, hereafter called "Benchmark") used with 2x10e7 cells / ChIP with H3K4me3 antibody, compared to modified method ("new") with decreasing input cell numbers spanning 1000-fold range from 2x10e7 cells / IP to 2x10e4 cells/ IP. Part 2: reproducibility of new method studied using triplicate samples at lowest two cell numbers tested: 1x10e5 and 2x10e4 / ChIP, using H3K4me3 and H3K27me3 antisera.
 
Contributor(s) Gilfillan GD, Lyle R
Citation(s) 23171294
Submission date Nov 08, 2012
Last update date May 15, 2019
Contact name Gregor Duncan Gilfillan
E-mail(s) gregor.gilfillan@medisin.uio.no
Phone +47 23016419
Organization name Oslo Universitetssykehus
Department Medical Genetics
Lab Norwegian Sequencing Centre
Street address Medisinsk Genetikk
City Oslo
ZIP/Postal code 0407
Country Norway
 
Platforms (2)
GPL10999 Illumina Genome Analyzer IIx (Homo sapiens)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (24)
GSM1033552 Benchmark_H3K4me3_2x10e7
GSM1033553 New_H3K4me3_2x10e7
GSM1033554 New_H3K4me3_2.5x10e6
Relations
BioProject PRJNA179207
SRA SRP017125

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE42147_RAW.tar 10.6 Mb (http)(custom) TAR (of BED, BEDGRAPH)
SRA Run SelectorHelp
Processed data provided as supplementary file
Raw data are available in SRA

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