ArticleScientific reports2015
Biased random walk model for the prioritization of drug resistance associated proteins.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 25 citations in OpenAlex.
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- Cross-Linking Mass Spectrometry on P-Glycoprotein.International journal of molecular sciences · 2023Article
- The Role of PIM Kinases in Pediatric Solid Tumors.Cancers · 2022Review
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- PIM kinases mediate resistance to cisplatin chemotherapy in hepatoblastoma.Scientific reports · 2021Article
- Frequent Subgraph Mining of Functional Interaction Patterns Across Multiple Cancers.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2021Article
- Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform.PLoS biology · 2020Article
- Identification of pathways associated with chemosensitivity through network embedding.PLoS computational biology · 2019Article
- Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistance.Genome biology · 2017Article
- Linearity of network proximity measures: implications for set-based queries and significance testing.Bioinformatics (Oxford, England) · 2017Article
- Systematic analysis of the molecular mechanism underlying atherosclerosis using a text mining approach.Human genomics · 2016Article
- Characterization of site-specific glycosylation of secreted proteins associated with multi-drug resistance of gastric cancer.Oncotarget · 2016Article
- Prioritization of Susceptibility Genes for Ectopic Pregnancy by Gene Network Analysis.International journal of molecular sciences · 2016Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multi-drug resistance is the main cause of treatment failure in cancer patients. How to identify molecules underlying drug resistance from multi-omics data remains a great challenge. Here, we introduce a data biased strategy, ProteinRank, to prioritize drug-resistance associated proteins in cancer cells. First, we identified differentially expressed proteins in Adriamycin and Vincristine resistant gastric cancer cells compared to their parental cells using iTRAQ combined with LC-MS/MS experiments, and then mapped them to human protein-protein interaction network; second, we applied ProteinRank to analyze the whole network and rank proteins similar to known drug resistance related proteins. Cross validations demonstrated a better performance of ProteinRank compared to the method without usage of MS data. Further validations confirmed the altered expressions or activities of several top ranked proteins. Functional study showed PIM3 or CAV1 silencing was sufficient to reverse the drug resistance phenotype. These results indicated ProteinRank could prioritize key proteins related to drug resistance in gastric cancer and provided important clues for cancer research.
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