Dataset Information

Aregger_C12ORF49_BioID_2020_TripleTOF5600

ABSTRACT: This dataset consists of 18 raw MS files and associated peak lists and result files, acquired on AB SCIEX 5600 TripleTOF mass spectrometer operated in Data Dependent Acquisition mode. Samples were generated by Michael Aregger, affinity purification and mass spectrometric acquisition was performed by Zhen-Yuan Lin. Analysis was performed by Anne-Claude Gingras, Cassandra Wong and Zhen-Yuan Lin. The files are associated with a manuscript submitted for publication by Michael Aregger et al. The main goal of this paper was to systematically map genetic interactions for de novo fatty acid synthesis Jason Moffat is the corresponding author of the manuscript (j.moffat@utoronto.ca); Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca). This submission is associated with 3 Supplementary Files (in addition to this README file) Table 1 describes the composition of this dataset Table 2 lists all the peptide identification evidence (as per iProphet) Table 3 lists the SAINTexpress interactions

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Anne-Claude Gingras

PROVIDER: MSV000085005 | MassIVE | Tue Feb 25 06:58:00 GMT 2020

SECONDARY ACCESSION(S): PXD017719

REPOSITORIES: MassIVE

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Dataset's files

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			Action	DRS
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Publications

Systematic mapping of genetic interactions for de novo fatty acid synthesis identifies C12orf49 as a regulator of lipid metabolism.

Aregger Michael M Lawson Keith A KA Billmann Maximillian M Costanzo Michael M Tong Amy H Y AHY Chan Katherine K Rahman Mahfuzur M Brown Kevin R KR Ross Catherine C Usaj Matej M Nedyalkova Lucy L Sizova Olga O Habsid Andrea A Pawling Judy J Lin Zhen-Yuan ZY Abdouni Hala H Wong Cassandra J CJ Weiss Alexander A Mero Patricia P Dennis James W JW Gingras Anne-Claude AC Myers Chad L CL Andrews Brenda J BJ Boone Charles C Moffat Jason J

Nature metabolism 20200601 6

The de novo synthesis of fatty acids has emerged as a therapeutic target for various diseases, including cancer. Because cancer cells are intrinsically buffered to combat metabolic stress, it is important to understand how cells may adapt to the loss of de novo fatty acid biosynthesis. Here, we use pooled genome-wide CRISPR screens to systematically map genetic interactions (GIs) in human HAP1 cells carrying a loss-of-function mutation in fatty acid synthase (FASN), whose product catalyses the f ...[more]

PMID: 32694731

Dataset Information

Aregger_C12ORF49_BioID_2020_TripleTOF5600

Dataset's files

Publications

Systematic mapping of genetic interactions for de novo fatty acid synthesis identifies C12orf49 as a regulator of lipid metabolism.

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