Proteomics

Dataset Information

0

D2Ome - rate constant estimation from heavy water metabolic labeling and LC-MS


ABSTRACT: We developed a software for extraction of protein decay rate constants from heavy water labeling followed by LC-MS experiments. We illustrate the program on application to normal diet and western diet fed LDLR-/- mice. We demonstrate that proteins subunits of 40S ribosomal complex have reduced stability in western diet fet mice.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Liver

SUBMITTER: Ahmad Borzoo  

LAB HEAD: Rovshan G. Sadygov

PROVIDER: PXD009493 | Pride | 2019-04-10

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
LDLND5_SE_Band18_0hb.mzML Mzml
LDLND5_SE_Band18_0hb.mzid.gz Mzid
LDLND5_SE_Band18_0hb.pride.mgf.gz Mgf
LDLND5_SE_Band18_0hb.pride.mztab.gz Mztab
LDLND5_SE_Band18_0hb.raw Raw
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Publications

Using Heavy Mass Isotopomers for Protein Turnover in Heavy Water Metabolic Labeling.

Sadygov Rovshan G RG  

Journal of proteome research 20210304 4


Metabolic labeling followed by LC-MS-based proteomics is a powerful tool to study proteome dynamics in high-throughput experiments both <i>in vivo</i> and <i>in vitro.</i> High mass resolution and accuracy allow differentiation in isotope profiles and the quantification of partially labeled peptide species. Metabolic labeling duration introduces a time domain in which the gradual incorporation of labeled isotopes is recorded. Different stable isotopes are used for labeling. Labeling with heavy w  ...[more]

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