Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification

ABSTRACT: PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification

PROVIDER: PRJNA944937 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR23868500.fastq.gz	Fastqsanger.gz
	SRR23868501.fastq.gz	Fastqsanger.gz
	SRR23868502.fastq.gz	Fastqsanger.gz
	SRR23868503.fastq.gz	Fastqsanger.gz
	SRR23868504.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 146

Similar Datasets

PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b2_0118]

Project description:PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b2_0118]

| PRJNA944947 | ENA

PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b3_0723]

Project description:PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b3_0723]

| PRJNA944948 | ENA

PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b1_1204]

Project description:PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b1_1204]

| PRJNA944946 | ENA

PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification

Project description:This SuperSeries is composed of the SubSeries listed below.

2023-05-19 | GSE227392 | GEO

PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b2_0118]

Project description:High-throughput phenotypic screening is a cornerstone of drug development and the main technical approach for stem cell research. However, simultaneous detection of activated core factors responsible for cell fate determination and accurate assessment of directional cell transition are difficult using conventional screening methods that focus on changes in only a few biomarkers. The PHDs-seq (Probe Hybridization based Drug screening by sequencing) platform was developed to evaluate compound function based on their transcriptional effects in a wide range of signature biomarkers. In this proof-of-concept demonstration, several sets of markers related to cell fate determination were profiled in adipocyte reprogramming from dermal fibroblasts. After validating the accuracy, sensitivity and reproducibility of PHDs-seq data in molecular and cellular assays, a panel of 128 signalling-related compounds was screened for the ability to induce reprogramming of keloid fibroblasts (KF) into adipocytes. Notably, the potent ATP-competitive VEGFR/PDGFR inhibitor compound, ABT869, was found to promote the transition from fibroblasts to adipocytes. This study highlights the power and accuracy of the PHDs-seq platform for high-throughput drug screening in stem cell research, and supports its use in basic explorations of the molecular mechanisms underlying disease development.

2023-05-19 | GSE227388 | GEO

PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b1_1204]

2023-05-19 | GSE227387 | GEO

PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b3_0723]

2023-05-19 | GSE227391 | GEO

Quantification of mouse retinal enhancer activity by massively parallel reporter assay

Project description:Quantification of mouse retinal enhancer activity by massively parallel reporter assay

| PRJNA415987 | ENA

Massively parallel quantification of SpCas9 gRNA efficiencies by surrogate lentiviral libraries

Project description:Massively parallel quantification of SpCas9 gRNA efficiencies by surrogate lentiviral libraries

| PRJNA726810 | ENA

Highly parallel quantification and compartment localization of transcription factors and nuclear proteins

Project description:Transcription factors and other chromatin-associated proteins are difficult to quantify comprehensively. Here we combine facile nuclear sub-fractionation with data-independent acquisition mass spectrometry to achieve rapid, sensitive, and highly-parallel quantification of the nuclear proteome in human cells. We apply this approach to quantify the response to acute degradation of BET bromodomains, revealing unexpected chromatin regulatory dynamics. The method is simple and enables systems-level study of previously inaccessible chromatin and genome regulators.

2020-02-17 | GSE140325 | GEO

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