Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 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.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE32332 | GEO | 2011/10/11

SECONDARY ACCESSION(S): PRJNA147265

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

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

Project description: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.

2011-10-11 | E-GEOD-32332 | biostudies-arrayexpress

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

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

| PRJNA147265 | ENA

Multiplexed Illumina sequencing libraries from picogram quantities of DNA

Project description:High throughput sequencing is frequently used to discover the location of regulatory interactions on chromatin. However, techniques that enrich DNA where regulatory activity takes place, such as chromatin immunoprecipitation (ChIP), often yield less DNA than optimal for sequencing library preparation. Existing protocols for picogram-scale libraries require concomitant fragmentation of DNA, pre-amplification, or long overnight steps. We report a simple and fast library construction method that produces libraries from sub-nanogram quantities of DNA. This protocol yields conventional libraries with barcodes suitable for multiplexed sample analysis on the Illumina platform. We demonstrate the utility of this method by constructing a ChIP-seq library from 100 pg of ChIP DNA that demonstrates equivalent genomic coverage of target regions to a library produced from a larger scale experiment. Application of this method allows whole genome studies from samples where material or yields are limiting. Comparison of ChIP-seq libraries constructed from 100 pg DNA (this study) and nanograms of DNA (modENCODE). ChIP antibody: H3K27me3, Active Motif 31955.

2013-07-01 | E-GEOD-48431 | biostudies-arrayexpress

Multiplexed Illumina sequencing libraries from picogram quantities of DNA

2013-07-01 | GSE48431 | GEO

Optimized adapter:DNA ratios for efficient ChIP-seq library preparation from low input samples

Project description:The goal of this study was to titrate the amount of adapters for picogram amounts of ChIP DNA to determine the optimal conditions for library generation. H3K4me3 ChIP DNA from human Raji cells was diluted to the indicated amount and sequencing libraries generated using a range of adapter concentrations. The optimal adapter:DNA ratios were sequenced in technical duplicate to determine the reproducibility at each starting ChIP DNA amount. Additionally, for two samples we altered the number of cycles during the PCR amplification to determine the effect of PCR on library complexity and read duplicates.

2020-08-20 | GSE71700 | GEO

Mus musculus

Project description:Microarray Based Comparison of three Amplification Methods For Nanogram Amounts of Total RNA

| PRJNA91841 | ENA

Mus musculus

Project description:Microarray Based Comparison of two Amplification Methods For Nanogram Amounts of Total RNA

| PRJNA89973 | ENA

Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling

Project description:For more than a decade, microarrays have been a powerful and widely used tool to explore the transcriptome of biological systems. However, the amount of biological material from cell sorting or laser capture microdissection is much too small to perform microarray studies. To address this issue, RNA amplification methods have been developed to generate sufficient targets from picogram amounts of total RNA to perform microarray hybridisation. In this study, four commercial protocols for amplification of picograms amounts of input RNA for microarray expression profiling were evaluated and compared. The quantitative and qualitative performances of the methods were assessed. Microarrays were hybridised with the amplified targets and the amplification protocols were compared with respect to the quality of expression profiles, reproducibility within a concentration range of input RNA, and sensitivity.

2009-06-02 | GSE15398 | GEO

WES

Project description:Exome sequencing from nanogram amounts of starting DNA: Comparing three approaches

| PRJEB6077 | ENA

Comparison of linear and exponential amplification techniques for expression profiling at the single-cell level

Project description:We tested the performance of three methods for amplifying single-cell amounts of RNA under ideal conditions: T7-based in vitro transcription; switching mechanism at 5' end of RNA template (SMART) PCR amplification; and global PCR amplification. All methods introduced amplification-dependent noise when mRNA was amplified 108-fold, compared with data from unamplified cDNA. PCR-amplified cDNA demonstrated the smallest number of differences between two parallel replicate samples and the best correlation between independent amplifications from the same cell type, with SMART outperforming global PCR amplification. SMART had the highest true-positive rate and the lowest false-positive rate when comparing expression between two different cell types, but had the lowest absolute discovery rate of all three methods. Direct comparison of the performance of SMART and global PCR amplification on single-cell amounts of total RNA and on single neural stem cells confirmed these findings. Under the conditions tested, PCR amplification was more reliable than linear amplification for detecting true expression differences between samples. SMART amplification had a higher true-positive rate than global amplification, but at the expense of a considerably lower absolute discovery rate and a systematic compression of observed expression ratios. Keywords: Oliginucleotide expression microarrays, T7-based linear amplification; SMART PCR-based amplification; global PCR amplification

2006-06-27 | GSE5136 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data