Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment.

ABSTRACT: mDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment.

PROVIDER: PRJNA1032915 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

ssDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment

Project description:Current methods for R-loop mapping need to perform DNA:RNA immunoprecipitation for each sample individually, with consequent limitations in throughput. Here, we develop and validate mDRIP-seq, a multi-sample barcoding and pooling method for R-loop mapping. We show mDRIP-seq performs equivalently as conventional methods, but with the merits of high throughput and cost-efficiency. We also show the simplicity of mDRIP-seq for relative and absolute quantitation of genomic R-loop fractions for multiple samples. Together, mDRIP-seq is a high-throughput and cost-efficient method for R-loop mapping and quantitative assessment and can be widely applied to large-scale dynamic profiles of these important structures for diverse organisms.

2024-06-12 | GSE219069 | GEO

mDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment.

2024-06-12 | GSE246423 | GEO

mDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment

2024-06-11 | GSE219068 | GEO

RNA-seq for HEK293T: a high-throughput method for R-loop mapping and quantitative assessment

2024-06-12 | GSE219070 | GEO

mDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment

Project description:mDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment

| PRJNA906980 | ENA

ssDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment

Project description:ssDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment

| PRJNA906982 | ENA

RNA-seq for HEK293T: a high-throughput method for R-loop mapping and quantitative assessment

Project description:RNA-seq for HEK293T: a high-throughput method for R-loop mapping and quantitative assessment

| PRJNA906981 | ENA

mDRIP-seq is a high-throughput method for quantitative R-loop landscape profiling

Project description:Current methods for R-loop profiling need to perform experiments for each sample individually, with consequent limitations in throughput. Here, based on the barcoding strategy, we develop mDRIP-seq, a high-throughput method showing equivalent performance as conventional methods, but with merits of 7-fold less cost and 6-fold less hand-on time per sample. We also show the simplicity and effectiveness of mDRIP-seq for relative and absolute quantitation of genomic R-loop fractions for multiple samples. Together, mDRIP-seq is a high-throughput and cost-efficient method for R-loop mapping and quantitative assessment that can be widely applied to large-scale dynamic profiles of these important structures for diverse organisms.

2024-06-11 | GSE219071 | GEO

mDRIP-seq is a high-throughput method for quantitative R-loop landscape profiling

Project description:mDRIP-seq is a high-throughput method for quantitative R-loop landscape profiling

| PRJNA906979 | ENA

CapStarr-seq: a high-throughput method for quantitative assessment of enhancer activity in mammals

Project description:Here we developed CapStarr-Seq, a novel high-throughput strategy to quantitatively assess enhancer activity in mammals. This approach couples capture of regions of interest to previously developed Starr-seq technique. Extensive assessment of CapStarr-seq demonstrated accurate quantification of enhancer activity. Furthermore, we found that enhancer strength correlates with binding complexity of tissue-specific transcription factors and super-enhancers, while additive enhancer activity isolates key genes involved in cell identity and function. CapStarr-seq analysis in P5424 cell line (2 replicates), 3T3 cell line and in the plasmid library before (Input) and after transfection

2015-04-09 | E-GEOD-60029 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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