Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Single-tube Linear DNA amplification (LinDA) for robust ChIP-seq


ABSTRACT: Genome-wide profiling of transcription factors based on massive parallel sequencing of immunoprecipitated chromatin (ChIP-seq) requires nanogram amounts of DNA. Here we describe a high-fidelity, single-tube linear DNA amplification method (LinDA) for ChIP-seq and reChIP-seq with picogram DNA amounts obtained from a few thousand cells. This amplification technology will facilitate global analyses of transcription-factor binding and chromatin with very small cell populations, such as stem or cancer-initiating cells. In total 5 samples were generated from the F9 teratocarcinoma cell system: mRXRa-RARg-LinDA;mRXRa_100xfold-diluted_LinDA; mRXRa(1) and two others previously described in GSE30538 (mRXRa(2): !Series_sample_id=GSM757796; mRARg : !Series_sample_id=GSM757803). In addition, 14 samples were generated from the H3396 breast cancer cell system. Those samples containing the label "LinDA" has been amplified following the Linear DNA amplification method developed by Pattabhiraman et al. ((2011), Nature Methods 8, 565-67) prior library preparation for Solexa sequencing.

ORGANISM(S): Homo sapiens

SUBMITTER: Marco Antonio Mendoza-Parra 

PROVIDER: E-GEOD-32332 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Single-tube linear DNA amplification (LinDA) for robust ChIP-seq.

Shankaranarayanan Pattabhiraman P   Mendoza-Parra Marco-Antonio MA   Walia Mannu M   Wang Li L   Li Ning N   Trindade Luisa M LM   Gronemeyer Hinrich H  

Nature methods 20110605 7


Genome-wide profiling of transcription factors based on massive parallel sequencing of immunoprecipitated chromatin (ChIP-seq) requires nanogram amounts of DNA. Here we describe a high-fidelity, single-tube linear DNA amplification method (LinDA) for ChIP-seq and reChIP-seq with picogram DNA amounts obtained from a few thousand cells. This amplification technology will facilitate global analyses of transcription-factor binding and chromatin with very small cell populations, such as stem or cance  ...[more]

Similar Datasets

2011-10-11 | E-GEOD-30538 | biostudies-arrayexpress
2011-10-10 | E-GEOD-30539 | biostudies-arrayexpress
2011-08-09 | E-GEOD-31280 | biostudies-arrayexpress
2013-04-08 | E-GEOD-45587 | biostudies-arrayexpress
2023-10-16 | PXD039337 | Pride
2013-12-13 | E-GEOD-51549 | biostudies-arrayexpress
2015-04-17 | E-GEOD-56893 | biostudies-arrayexpress
2014-04-01 | E-GEOD-56393 | biostudies-arrayexpress
2014-07-07 | E-GEOD-58233 | biostudies-arrayexpress
2013-03-06 | E-GEOD-44260 | biostudies-arrayexpress