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pmid:40790764

The mitochondrial hub gene UCHL1 May serve as a potential biomarker for diagnosing diabetic cardiomyopathy: a comprehensive integration of biological pathways.

Chengjie Gao · Yijing Tao · Da Qian · Yafeng Zhou

BMC medical genomics · 2025 doi:10.1186/s12920-025-02199-0

Paper

complete

Experiment

complete

Data

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absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:40790764
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2026-11-01T20:30:53Z
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title
The mitochondrial hub gene UCHL1 May serve as a potential biomarker for diagnosing diabetic cardiomyopathy: a comprehensive integration of biological pathways.
doi
10.1186/s12920-025-02199-0
pmid
40790764
authors array · 4 items
[0]
Chengjie Gao
[1]
Yijing Tao
[2]
Da Qian
[3]
Yafeng Zhou
journal
BMC medical genomics
year
2025
abstract
BACKGROUND: Diabetic cardiomyopathy (DCM) is a complex clinical syndrome characterized by cardiac systolic and diastolic dysfunction. Research on the underlying mechanism of mitochondrial dysfunction and the involved genes in patients with DCM is limited. OBJECTIVE: We aimed to explore the hub genes and pathways related to mitochondrial dysfunction that affect the progression of DCM. METHODS: DCM patient datasets (GSE161052, GSE210611 (test sets) and GSE26887 (validation set) were downloaded from the Gene Expression Omnibus (GEO) database. The identification of the differentially expressed genes (DEGs) was performed using the "limma" R package. Mitochondrial dysfunction-related genes (MDRGs) associated with DCM were obtained from the Molecular Signatures Database (MSigDB). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were carried out to analyse the biological function of mitochondrial dysfunction-related differentially expressed genes (MDRDEGs) via the "ClusterProfiler", "DOSE", "org.Hs.eg.db" and "circlize" R packages. The diagnostic value of the hub genes for DCM was confirmed using receiver operating characteristic (ROC) curves in the test and validation groups. Moreover, the functions of the hub genes in the context of DCM were explored via gene set enrichment analysis (GSEA). A protein‒protein interaction (PPI) network of the hub genes was constructed using the GeneMANIA database. Finally, real-time reverse transcription polymerase chain reaction (real-time RT PCR) analysis and western blot analysis were performed to detect the expression levels of UCHL1. RESULTS: A total of 705 DEGs and 122 MDRGs closely related to DCM were identified, and 6 MDRDEGs (AGT, KIT, SLC2A1, SLC2A4, TK2, and UCHL1) were obtained and subjected to GO and KEGG enrichment analyses. ROC curve analysis was performed for the test and validation groups. Only the AUC of UCHL1 reached 1.0 in both the test and validation groups, and UCHL1 was identified as a hub gene in DCM. GSEA revealed that multiple biological pathways were activated or inhibited along with alterations in the expression of UCHL1. PPI network analysis revealed that the hub genes interacted with mainly the ASPSCR1, PTPRU, STXBP3, SOCS6 and UCHL5 proteins. There was a reciprocal regulatory relationship between UCHL1 expression and hsa-miR-181a-5p, hsa-miR-193b-3p, hsa-miR-877-5p and hsa-miR-218-5p levels. Finally, real-time RT PCR and western blot analysis revealed that UCHL1 may be used as a potential diagnostic biomarker of DCM. CONCLUSIONS: In this study, 6 mitochondrial dysfunction-related hub genes related to DCM were identified. The mitochondrial hub gene UCHL1 was demonstrated to be a potential diagnostic biomarker for DCM.
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The identification of DEGs between DCM tissue samples and normal tissue samples was performed by using the “limma” R package [14].
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The identification of DEGs between DCM tissue samples and normal tissue samples was performed by using the “limma” R package [14].
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A total of 705 DEGs and 122 MDRGs closely related to DCM were identified, and 6 MDRDEGs (AGT, KIT, SLC2A1, SLC2A4, TK2, and UCHL1) were obtained and subjected to GO and KEGG enrichment analyses.
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A total of 705 DEGs and 122 MDRGs closely related to DCM were identified, and 6 MDRDEGs (AGT, KIT, SLC2A1, SLC2A4, TK2, and UCHL1) were obtained and subjected to GO and KEGG enrichment analyses.
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A total of 705 DEGs and 122 MDRGs closely related to DCM were identified, and 6 MDRDEGs (AGT, KIT, SLC2A1, SLC2A4, TK2, and UCHL1) were obtained and subjected to GO and KEGG enrichment analyses.
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ain reaction (real-time RT PCR) analysis and western blot analysis were performed to detect the expres
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218-5p levels. Finally, real-time RT PCR and western blot analysis revealed that UCHL1 may be used as
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transcription polymerase chain reaction and western blot analysis of the hub genes The heart was fixe
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Materials and methods Histological analysis, immunohistochemistry analysis, real-time reverse transcription po
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ining using the standard procedure [22, 23]. Immunohistochemical staining was performed as described previous
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T PCR) was conducted with RealStar Fast SYBR Qpcr Mix (GenStar, #A304). Primers for this study
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40790764", "kind": "science-record", "revision": 4, "content_hash": "sha256:ee88606212433524e72f11280f07a462f0f5cae5e6befb564b6c496267e17712", "created_at": "2026-11-01T20:30:53Z", "updated_at": "2026-11-01T22:56:59Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The mitochondrial hub gene UCHL1 May serve as a potential biomarker for diagnosing diabetic cardiomyopathy: a comprehensive integration of biological pathways.", "doi": "10.1186/s12920-025-02199-0", "pmid": "40790764", "authors": ["Chengjie Gao", "Yijing Tao", "Da Qian", "Yafeng Zhou"], "journal": "BMC medical genomics", "year": 2025, "abstract": "BACKGROUND: Diabetic cardiomyopathy (DCM) is a complex clinical syndrome characterized by cardiac systolic and diastolic dysfunction. Research on the underlying mechanism of mitochondrial dysfunction and the involved genes in patients with DCM is limited.\nOBJECTIVE: We aimed to explore the hub genes and pathways related to mitochondrial dysfunction that affect the progression of DCM.\nMETHODS: DCM patient datasets (GSE161052, GSE210611 (test sets) and GSE26887 (validation set) were downloaded from the Gene Expression Omnibus (GEO) database. The identification of the differentially expressed genes (DEGs) was performed using the \"limma\" R package. Mitochondrial dysfunction-related genes (MDRGs) associated with DCM were obtained from the Molecular Signatures Database (MSigDB). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were carried out to analyse the biological function of mitochondrial dysfunction-related differentially expressed genes (MDRDEGs) via the \"ClusterProfiler\", \"DOSE\", \"org.Hs.eg.db\" and \"circlize\" R packages. The diagnostic value of the hub genes for DCM was confirmed using receiver operating characteristic (ROC) curves in the test and validation groups. Moreover, the functions of the hub genes in the context of DCM were explored via gene set enrichment analysis (GSEA). A protein‒protein interaction (PPI) network of the hub genes was constructed using the GeneMANIA database. Finally, real-time reverse transcription polymerase chain reaction (real-time RT PCR) analysis and western blot analysis were performed to detect the expression levels of UCHL1.\nRESULTS: A total of 705 DEGs and 122 MDRGs closely related to DCM were identified, and 6 MDRDEGs (AGT, KIT, SLC2A1, SLC2A4, TK2, and UCHL1) were obtained and subjected to GO and KEGG enrichment analyses. ROC curve analysis was performed for the test and validation groups. Only the AUC of UCHL1 reached 1.0 in both the test and validation groups, and UCHL1 was identified as a hub gene in DCM. GSEA revealed that multiple biological pathways were activated or inhibited along with alterations in the expression of UCHL1. PPI network analysis revealed that the hub genes interacted with mainly the ASPSCR1, PTPRU, STXBP3, SOCS6 and UCHL5 proteins. There was a reciprocal regulatory relationship between UCHL1 expression and hsa-miR-181a-5p, hsa-miR-193b-3p, hsa-miR-877-5p and hsa-miR-218-5p levels. Finally, real-time RT PCR and western blot analysis revealed that UCHL1 may be used as a potential diagnostic biomarker of DCM.\nCONCLUSIONS: In this study, 6 mitochondrial dysfunction-related hub genes related to DCM were identified. The mitochondrial hub gene UCHL1 was demonstrated to be a potential diagnostic biomarker for DCM.", "claims": [{"id": "claim-method", "statement": "The identification of DEGs between DCM tissue samples and normal tissue samples was performed by using the “limma” R package [14].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40790764", "locator": "sections[4] \"Identification of differentially expressed genes\" paragraph 2", "quote": "The identification of DEGs between DCM tissue samples and normal tissue samples was performed by using the “limma” R package [14]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analysed in this study. These data can be found in the GEO database (http://www.ncbi.nlm.nih.gov/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40790764", "locator": "sections[27] \"Data availability\" paragraph 2", "quote": "Publicly available datasets were analysed in this study. These data can be found in the GEO database (http://www.ncbi.nlm.nih.gov/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 705 DEGs and 122 MDRGs closely related to DCM were identified, and 6 MDRDEGs (AGT, KIT, SLC2A1, SLC2A4, TK2, and UCHL1) were obtained and subjected to GO and KEGG enrichment analyses.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40790764", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "A total of 705 DEGs and 122 MDRGs closely related to DCM were identified, and 6 MDRDEGs (AGT, KIT, SLC2A1, SLC2A4, TK2, and UCHL1) were obtained and subjected to GO and KEGG enrichment analyses."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 705 DEGs and 122 MDRGs closely related to DCM were identified, and 6 MDRDEGs (AGT, KIT, SLC2A1, SLC2A4, TK2, and UCHL1) were obtained and subjected to GO and KEGG enrichment analyses.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:40790764"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE161052"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "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:GSE161052"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40790764", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12920-025-02199-0", "sha256": "sha256:a592411798b79f301b912f91c99519ec94f7af97b5826ad8ef1d443db688a94b", "bytes": 52426, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12920-025-02199-0", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12337458", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE161052", "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=GSE161052", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE161052", "version": null, "note": "Publicly available datasets were analysed in this study. These data can be found in the GEO database (http://www.ncbi.nlm.nih.gov/).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analysed in this study. 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These data can be found in the GEO database (http://www.ncbi.nlm.nih.gov/).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analysed in this study. These data can be found in the GEO database (http://www.ncbi.nlm.nih.gov/).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM6433492", "GSM6433493", "GSM6433494", "GSM6433495", "GSM6433496", "GSM6433497", "GSM6433498", "GSM6433499", "GSM6433500", "GSM6433501", "GSM6433502", "GSM6433503"], "sample_count": 12, "group_sizes": null, "group_sizes_basis": null, "platform": "21810", "taxon": "Mus musculus", "title": "Monoamine oxidase-dependent pro-survival signaling in diabetic hearts [total RNA]", "resolution_checked_at": "2026-11-01T20:16:08Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE26887", "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=GSE26887", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE26887", "version": null, "note": "Publicly available datasets were analysed in this study. 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These data can be found in the GEO database (http://www.ncbi.nlm.nih.gov/).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM662158", "GSM662159", "GSM662160", "GSM662161", "GSM662162", "GSM662163", "GSM662164", "GSM662165", "GSM662166", "GSM662167", "GSM662168", "GSM662169", "GSM662170", "GSM662171", "GSM662172", "GSM662173", "GSM662174", "GSM662175", "GSM662176", "GSM662177", "GSM662178", "GSM662179", "GSM662180", "GSM662181"], "sample_count": 24, "group_sizes": null, "group_sizes_basis": null, "platform": "6244", "taxon": "Homo sapiens", "title": "Transcriptome analysis of diabetic and non diabetic patients affected by post-ischemic heart failure", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE161052 not downloaded", "asset:data:geo:GSE161052 licence not read", "asset:data:geo:GSE210611 not downloaded", "asset:data:geo:GSE210611 licence not read", "asset:data:geo:GSE26887 not downloaded", "asset:data:geo:GSE26887 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The identification of DEGs between DCM tissue samples and normal tissue samples was performed by using the “limma” R package [14]."}}, {"id": "method-2", "family": "group_comparison", "specific": "anova", "label": "Group comparison", "dsl_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "ANOVA"}}, {"id": "method-3", "family": "correlation_analysis", "specific": "spearman", "label": "Correlation analysis", "dsl_operations": ["spearman_rho"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Spearman correlation"}}, {"id": "method-4", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "PPI"}}, {"id": "method-5", "family": "diagnostic_evaluation", "specific": "roc", "label": "Diagnostic test evaluation", "dsl_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["reference_standard_and_test"], "evidence": {"score": 0.7, "band": "medium", "quote": "ROC curve"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE161052", "GSE210611", "GSE26887"], "resolved_accessions": ["GSE161052", "GSE210611", "GSE26887"], "statements": ["Publicly available datasets were analysed in this study. These data can be found in the GEO database (http://www.ncbi.nlm.nih.gov/)."], "basis": "The paper names GSE161052, GSE210611, GSE26887 in Gene Expression Omnibus (GEO) database of NCBI and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:40790764", "data:geo:GSE161052"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE161052"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:59:22Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 14633, "completion_tokens": 2210, "cached_tokens": 256}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:40790764", "type": "paper", "label": "pmid:40790764"}, {"id": "source:pmid:40790764", "type": "manuscript", "label": "PMID 40790764 full text"}, {"id": "data:geo:GSE161052", "type": "dataset", "label": "GEO GSE161052"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:40790764", "type": "paper", "label": "pmid:40790764"}, {"id": "source:pmid:40790764", "type": "manuscript", "label": "PMID 40790764 full text"}, {"id": "data:geo:GSE161052", "type": "dataset", "label": "GEO GSE161052"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-40790764", "type": "extraction", "used": ["source:pmid:40790764"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE161052", "type": "accession_resolution", "used": ["data:geo:GSE161052"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:40790764", "parent_hash": "sha256:27e123d4da859ab7d525b5c071384a1a46a6b18ca6a32a32c0dffbf88078309d", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE161052 licence not read", "asset:data:geo:GSE161052 not downloaded", "asset:data:geo:GSE210611 licence not read", "asset:data:geo:GSE210611 not downloaded", "asset:data:geo:GSE26887 licence not read", "asset:data:geo:GSE26887 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ain reaction (real-time RT PCR) analysis and western blot analysis were performed to detect the expres", "218-5p levels. Finally, real-time RT PCR and western blot analysis revealed that UCHL1 may be used as", "transcription polymerase chain reaction and western blot analysis of the hub genes The heart was fixe"], "order_basis": "paper_text_order:1665", "id": "assay:1"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["Materials and methods Histological analysis, immunohistochemistry analysis, real-time reverse transcription po", "ining using the standard procedure [22, 23]. Immunohistochemical staining was performed as described previous"], "order_basis": "paper_text_order:2920", "id": "assay:2"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["T PCR) was conducted with RealStar Fast SYBR Qpcr Mix (GenStar, #A304). Primers for this study"], "order_basis": "paper_text_order:3891", "id": "assay:3"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.69, "evidence": ["is study are as follows: GeneSequence (5’-3’)Mouse-β-actin-ForwardGTGACGTTGACATCCGTAAAGAMouse-β"], "order_basis": "paper_text_order:3977", "id": "assay:4"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The identification of DEGs between DCM tissue samples and normal tissue samples was performed by using the “limma” R package [14]."], "order_basis": "consumes_earlier_output", "id": "assay:5"}]}