Proteomics

Dataset Information

0

Target proteins of miR-200b in AIPC by label free proteomics


ABSTRACT: For androgen-independent prostate cancer (AIPC), the current treatment is limited and the prognosis is poor. We previously found miR-200b could inhibit androgen independent proliferation ability of prostate cancer cells, but the mechanism is unclear. MiRNAs plays their role by blocking translation through base-pairing with complementary mRNA and by promoting degradation of target mRNA. Unraveling the miRNA translational silencing network remains a challenge in part because a single miRNA can inhibit multiple mRNA targets and because a single mRNA can be regulated by several distinct miRNAs that act cooperatively. However, proteomics methods provide us useful tools to unravel the target genes network. This study identified the target genes of miR-200b in AIPC. It helps us to understand the mechanism of AIPC and applies several new candidate targets of AIPC treatment.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell, Cell Culture

DISEASE(S): Prostate Adenocarcinoma

SUBMITTER: Yawei Liu  

LAB HEAD: Yawei Liu

PROVIDER: PXD006350 | Pride | 2020-08-05

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
inhibitor.raw Raw
inhibitor_160418204257.raw Raw
inhibitor_nc_160419064957.raw Raw
mimics.raw Raw
mimics_160418053155.raw Raw
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Publications

Potential mechanisms of action of celastrol against rheumatoid arthritis: Transcriptomic and proteomic analysis.

Xinqiang Song S   Erqin Dai D   Yu Zhang Z   Hongtao Du D   Lei Wang W   Ningning Yang Y  

PloS one 20200729 7


The clinical efficacy for treating of celastrol rheumatoid arthritis (RA) has been well-documented, but its mechanism of action remains unclear. Here we explored through what proteins and processes celastrol may act in activated fibroblast-like synoviocytes (FLS) from RA patients. Differential expression of genes and proteins after celastrol treatment of FLS was examined using RNA sequencing, label-free relatively quantitative proteomics and molecular docking. In this paper, expression of 26,565  ...[more]

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