Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds.

ABSTRACT: While gene expression profiling has traditionally been the method of choice for large-scale perturbational profiling studies, proteomics has emerged as an effective tool in this context for directly monitoring cellular responses to perturbations. We previously reported a pilot library containing 3400 profiles of multiple perturbations across diverse cellular backgrounds in the reduced-representation phosphoproteome (P100) and chromatin space (Global Chromatin Profiling, GCP). Here, we expand our original dataset to include profiles from a new set of cardiotoxic compounds and from astrocytes, an additional neural cell model, totaling 5300 proteomic signatures. We describe filtering criteria and quality control metrics used to assess and validate the technical quality and reproducibility of

SUBMITTER: Dele-Oni DO 

PROVIDER: S-EPMC8387426 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature