Proteomics

Dataset Information

0

Systematic analysis of protein turnover in primary cells - Part V

ABSTRACT: To better understand proteostasis in health and disease, determination of protein half-lives is essential. We improved the precision and accuracy of peptide-ion intensity based quantification in order to enable accurate determination of protein turnover in non-dividing cells using dynamic-SILAC. This enabled precise and accurate protein half-life determination ranging from 10 to more than 1000 hours. We achieve good proteomic coverage ranging from four to six thousand proteins in several types of non-dividing cells, corresponding to a total of 9699 unique proteins over the entire dataset. Good agreement was observed in half-lives between B-cells, natural killer cells and monocytes, while hepatocytes and mouse embryonic neurons showed substantial differences. Our comprehensive dataset enabled extension and statistical validation of the previous observation that subunits of protein complexes tend to have coherent turnover. Furthermore, we observed complex architecture dependent turnover within complexes of the proteasome and the nuclear pore complex. Our method is broadly applicable and might be used to investigate protein turnover in various cell types.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Brain, Neuron

SUBMITTER: Maria Faelth Savitski  

LAB HEAD: Marcus Bantscheff

PROVIDER: PXD008514 | Pride | 2018-06-08

REPOSITORIES: Pride

Json Xml

Dataset's files

Source:
Action DRS
01920_F1_R1_P0166140B02_SILAC3.raw.gz Raw
01920_F1_R1_P0166140B03_SILAC3.raw.gz Raw
01920_F1_R1_P0166140B04_SILAC3.raw.gz Raw
01920_F1_R1_P0166140B05_SILAC3.raw.gz Raw
01920_F1_R1_P0166140B06_SILAC3.raw.gz Raw
Items per page:
1 - 5 of 366
altmetric image

Publications

A better understanding of proteostasis in health and disease requires robust methods to determine protein half-lives. Here we improve the precision and accuracy of peptide ion intensity-based quantification, enabling more accurate protein turnover determination in non-dividing cells by dynamic SILAC-based proteomics. This approach allows exact determination of protein half-lives ranging from 10 to >1000 h. We identified 4000-6000 proteins in several non-dividing cell types, corresponding to 9699  ...[more]

Similar Datasets

Proteomics Systematic analysis of protein turnover in primary cells - Part VI
2018-06-08 | PXD008516 | Pride
Proteomics Systematic analysis of protein turnover in primary cells - Part III
2018-06-08 | PXD008513 | Pride
Proteomics Systematic analysis of protein turnover in primary cells - Part IV
2018-06-08 | PXD008512 | Pride
Proteomics Systematic analysis of protein turnover in primary cells - Part I
2018-06-08 | PXD008511 | Pride
Proteomics Systematic analysis of protein turnover in primary cells - Part II
2018-06-08 | PXD008515 | Pride
Proteomics Modeling SILAC Data to Assess Protein Turnover in a Cellular Model of Diabetic Nephropathy
2023-02-13 | PXD038541 | Pride
Proteomics Local and global influences on protein turnover in neurons and glia.
2018-06-05 | PXD008596 | Pride
Genomics Determination of mRNA half-lives in embryonic mouse skin
| PRJEB21639 | ENA
Proteomics An Approach to Measuring Protein Turnover in Human Induced Pluripotent Stem Cell Organoids by Mass Spectrometry
2024-06-16 | PXD032169 | Pride
Proteomics Protein turnover analysis in Salmonella Typhimurium during infection by dynamic SILAC, Topograph and quantitative proteomics
2022-05-17 | PXD033623 | Pride