PXD022112

PXD022112 is an original dataset announced via ProteomeXchange.

Title	Harnessing machine learning to unravel protein degradation in Escherichia coli
Description	Degradation of intracellular proteins in Gram-negative bacteria regulates various cellular processes and serves as a quality control mechanism by eliminating damaged proteins. To understand what causes the proteolytic machinery of the cell to degrade some proteins while sparing others, we employed a quantitative pulsed-SILAC (Stable Isotope Labeling with Amino acids in Cell culture) method followed by mass spectrometry analysis to determine the half-lives for the proteome of exponentially growing Escherichia coli, under standard conditions. We developed a likelihood-based statistical test to findactively degraded proteins, and identified dozens of novel proteins that are fast-degrading. Finally, we used structural, physicochemical and protein-protein interaction network descriptorsto train a machine-learning classifier to discriminate fast-degrading proteins from the rest of the proteome. Our combined computational-experimental approach provides means for proteomic-based discovery of fast degrading proteins in bacteria and the elucidation of the factors determining protein half-livesand have implications for protein engineering. Moreover, as rapidly degraded proteins may play an important role in pathogenesis, our findings could identify new potential antibacterial drug targets
HostingRepository	PRIDE
AnnounceDate	2021-01-13
AnnouncementXML	Submission_2021-01-12_23:48:58.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Meital Kupervaser
SpeciesList	scientific name: Escherichia coli; NCBI TaxID: 562;
ModificationList	monohydroxylated residue; iodoacetamide derivatized residue
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2020-10-21 02:34:00	ID requested
⏵ 1	2021-01-12 23:48:58	announced

Dataset with its publication pending

submitter keyword: Protein Degradation, Proteomics, Machine Learning, SILAC

Tal Pupko
contact affiliation	Shmunis School for Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel
contact email	talp@tauex.tau.ac.il
lab head
Meital Kupervaser
contact affiliation	Weizmann Institute of Science
contact email	meital.kupervaser@weizmann.ac.il
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD022112
     1. Label: PRIDE project
     2. Name: Harnessing machine learning to unravel protein degradation in Escherichia coli