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pmid:33222560
Use of bioinformatic analyses in identifying characteristic genes and mechanisms active in the progression of idiopathic thrombocytopenic purpura in individuals with different phenotypes.
Mengyi Zhang · Binhan Guo
The Journal of international medical research · 2020 doi:10.1177/0300060520971437
Paper
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Experiment
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Data
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Complete file
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Differentially expressed genes were identified and characteristic genes were screened by weighted gene co-expression network analysis. These genes were used for function enrichment analysis and construction of a protein-protein interaction network. Finally, characteristic genes were verified to determine potential molecular mechanisms underlying ITP progression.\nRESULTS: We found that characteristic genes in the chronic ITP group were mainly involved in intracellular processes and ion binding, while characteristic genes in the remission ITP group were involved in intracellular processes and nuclear physiological activities. We identified a sub-network of characteristic genes, LMNA, JUN, PRKACG, SMC3, which may indicate the mechanism by which newly diagnosed ITP progresses to chronic. Although no meaningful signaling pathways were found, the expression of NR3C1, TPR, SMC4, PANBP2, CHD1, and U2SURP may affect ITP progression from newly diagnosed to remission.\nCONCLUSION: Our findings improve the understanding of the pathogenesis and progression of ITP, and may provide new directions for the development of treatment strategies.", "claims": [{"id": "claim-method", "statement": "The Wilcoxon test was used to compare differences among three groups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33222560", "locator": "sections[7] \"Verification of hub genes and construction of sub-network\" paragraph 2", "quote": "The Wilcoxon test was used to compare differences among three groups."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Gene expression profile datasets GSE56232 and GSE46922 were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo). 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE46922"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_wilcoxon", "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE46922"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_wilcoxon"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33222560", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1177/0300060520971437", "sha256": "sha256:3bdae180133eb3ee8d9a09a77097ac86a31fc8916f157ea2036e40722d620b99", "bytes": 37327, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1177/0300060520971437", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7689594", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE46922", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE46922", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE46922", "version": null, "note": "Gene expression profile datasets GSE56232 and GSE46922 were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo). 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