Transcriptomics

Dataset Information

0

Molecular phenotyping empowers drug discovery: a proof-of-concept study


ABSTRACT: Today, novel candidate therapeutics are identified in an environment which is intrinsically different from the clinical context in which they are ultimately evaluated. We present a strategy that allows biological relevance to be assessed in the early stages of drug discovery. Using molecular phenotyping and an in vitro model of diabetic cardiomyopathy, we show that by quantifying pathway reporter gene expression, molecular phenotyping can cluster compounds based on pathway profiles and dissect associations between pathway activities and disease phenotypes simultaneously. Molecular phenotyping identified a class of calcium-signaling modulators that can reverse disease-regulated pathways and phenotypes, which was validated by structurally distinct compounds of relevant classes. The technique was applicable to compounds with a range of binding specificities and detected false-positive hits missed by classical phenotypic assays. Our results advocate application of molecular phenotyping in drug discovery, promoting biological relevance as a key selection criterion early in the drug development cascade.

ORGANISM(S): Homo sapiens

PROVIDER: GSE89972 | GEO | 2017/05/24

SECONDARY ACCESSION(S): PRJNA354350

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| PRJNA354350 | ENA
2022-02-16 | PXD023674 | Pride
2024-04-22 | MODEL2404220005 | BioModels
2024-05-02 | GSE245870 | GEO
| PRJEB4408 | ENA
2022-07-31 | GSE173359 | GEO
2018-12-21 | GSE109513 | GEO
2018-12-21 | GSE109509 | GEO
2018-12-21 | GSE109511 | GEO
2023-06-23 | MSV000092248 | MassIVE