Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs (cisplatin validation dataset)

ABSTRACT: Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs (cisplatin validation dataset)

PROVIDER: PRJNA856320 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs (cisplatin validation dataset) [RNA-seq]

Project description:Transcriptome and chromatin state of cell lines with high (Jurkat) and low (BxPC-3) sensitivity to cisplatin was acquired after 6 h 3 uM treatment with the anticancer drug, in order to validate a drug prediction pipeline based on the construction of a perturbation-informed signature.

2022-08-17 | GSE207611 | GEO

2022-08-17 | GSE207607 | GEO

Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs

Project description:Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs

| PRJNA742032 | ENA

Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs [ATAC-Seq]

Project description:Despite the tremendous advances in the use of omic-based technologies to serve the new paradigm of precision medicine, efforts are still required to expedite their routine use in drug discovery. In this work, we present a case study describing the use of multi-omics to push the development of 3-chloropiperidines (3-CePs), a new class of potential anticancer DNA alkylating agents. The combined analyses of transcriptome and chromatin accessibility efficiently identified proteostasis and DNA repair unbalances as the mechanisms underlying the tropism of 3-CePs against a pancreatic adenocarcinoma cell line. Further on, we implemented a new versatile strategy for the integration of RNA-seq and ATAC-seq information, which could be easily exported to accelerate and extend the separate analyses of omic layers. In addition, this platform offered a new anchor for the construction of a perturbation-informed basal signature able to efficiently predict cell lines sensitivity to 3-CePs and to further direct their development against specific tumor types. Overall, this approach offered a clinically-applicable pipeline to support both the early phases of drug discovery and the correct positioning of therapeutics in the medical practice.

2022-08-17 | GSE179059 | GEO

Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs [RNA-Seq]

2022-08-17 | GSE179057 | GEO

Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs [RNA-Seq]

Project description:Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs [RNA-Seq]

| PRJNA742031 | ENA

Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs [ATAC-Seq]

| PRJNA742038 | ENA

| PRJNA856311 | ENA

| PRJNA856325 | ENA

Perturbation-informed signatures from crosswise integration of transcriptome and chromatin accessibility analyses predict susceptibility to candidate anticancer drugs (cisplatin validation dataset)

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

2022-08-17 | GSE207612 | GEO