Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
25 08 2021
Historique:
received: 08 01 2021
accepted: 07 05 2021
entrez: 26 8 2021
pubmed: 27 8 2021
medline: 1 10 2021
Statut: epublish

Résumé

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 our data. To demonstrate the power of the library, we present two case studies where data is queried using the concept of "connectivity" to obtain biological insight. All data presented in this study have been deposited to the ProteomeXchange Consortium with identifiers PXD017458 (P100) and PXD017459 (GCP) and can be queried at https://clue.io/proteomics .

Identifiants

pubmed: 34433823
doi: 10.1038/s41597-021-01008-4
pii: 10.1038/s41597-021-01008-4
pmc: PMC8387426
doi:

Substances chimiques

Antineoplastic Agents 0
Cardiotoxins 0
Protein Kinase Inhibitors 0
Proteome 0

Types de publication

Dataset Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

226

Subventions

Organisme : NCI NIH HHS
ID : U24 CA210986
Pays : United States
Organisme : U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI)
ID : U54-HG008097
Organisme : NHGRI NIH HHS
ID : U54 HG008097
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA214125
Pays : United States
Organisme : U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
ID : U01-CA214125
Organisme : U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
ID : U24-CA210986

Informations de copyright

© 2021. The Author(s).

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Auteurs

Deborah O Dele-Oni (DO)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Karen E Christianson (KE)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Shawn B Egri (SB)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Alvaro Sebastian Vaca Jacome (AS)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Katherine C DeRuff (KC)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

James Mullahoo (J)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Vagisha Sharma (V)

Department of Genome Sciences, University of Washington, Seattle, WA, 98195, United States.

Desiree Davison (D)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Tak Ko (T)

Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, 02139, United States.

Michael Bula (M)

Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, 02139, United States.

Joel Blanchard (J)

Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, 02139, United States.

Jennie Z Young (JZ)

Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, 02139, United States.

Lev Litichevskiy (L)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Xiaodong Lu (X)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Daniel Lam (D)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Jacob K Asiedu (JK)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Caidin Toder (C)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Adam Officer (A)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Ryan Peckner (R)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Michael J MacCoss (MJ)

Department of Genome Sciences, University of Washington, Seattle, WA, 98195, United States.

Li-Huei Tsai (LH)

Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, 02139, United States.

Steven A Carr (SA)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States.

Malvina Papanastasiou (M)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States. malpap@broadinstitute.org.

Jacob D Jaffe (JD)

Broad Institute of MIT and Harvard, Cambridge, MA, 02142, United States. jjaffe@inzentx.com.
Inzen Therapeutics, Cambridge, MA, 02139, United States. jjaffe@inzentx.com.

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Classifications MeSH