Proteomics

Dataset Information

0

In-depth Profiling and Quantification of the lysine acetylome in Hepatocellular Carcinoma with a Trapped Ion Mobility Mass Spectrometer


ABSTRACT: This is supplemental data of “ In-depth Profiling and Quantification of the lysine acetylome in Hepatocellular Carcinoma with a Trapped Ion Mobility Mass Spectrometer ” project. In this data, we employed an integrated proteomics and acetylomics strategy to characterize of three Huh7 cells (NC1, NC2, NC3) and three SIRT2 overexpression cells (SIRT2-1, SIRT2-2, SIRT2-3) with 4D proteomics technology. Proteomics analysis identified a total of 5052 proteins, of which 4255 proteins were quantified across all samples. A total of 5307 acetylation sites on 2094 proteins were identified.

INSTRUMENT(S): timsTOF Pro

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: jia xu  

LAB HEAD: Ruibing Chen

PROVIDER: PXD031636 | Pride | 2022-07-02

REPOSITORIES: pride

Dataset's files

Source:
Action DRS
ace.xlsx Xlsx
ace_NC1.d.zip Other
ace_NC2.d.zip Other
ace_NC3.d.zip Other
ace_SIRT2_1.d.zip Other
Items per page:
1 - 5 of 14
altmetric image

Publications

In-depth Profiling and Quantification of the Lysine Acetylome in Hepatocellular Carcinoma with a Trapped Ion Mobility Mass Spectrometer.

Xu Jia J   Guan Xinyu X   Jia Xiaodong X   Li Hongyan H   Chen Ruibing R   Lu Yinying Y  

Molecular & cellular proteomics : MCP 20220608 8


Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related death worldwide with limited therapeutic options. Comprehensive investigation of protein posttranslational modifications in HCC is still limited. Lysine acetylation is one of the most common types of posttranslational modification involved in many cellular processes and plays crucial roles in the regulation of cancer. In this study, we analyzed the proteome and K-acetylome in eight pairs of HCC tumors and normal adja  ...[more]

Similar Datasets

2022-07-02 | PXD026729 | Pride
2007-09-17 | E-GEOD-5857 | biostudies-arrayexpress
2007-09-17 | E-GEOD-5858 | biostudies-arrayexpress
2022-10-13 | PXD028659 | Pride
2024-10-17 | PXD044992 | Pride
2023-04-08 | GSE229161 | GEO
2020-09-16 | GSE151421 | GEO
2022-03-30 | GSE199496 | GEO
2023-10-13 | PXD041171 | Pride
2023-06-15 | GSE234318 | GEO