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pmid:35369349

Comprehensive Analysis of Key m6A Modification Related Genes and Immune Infiltrates in Human Aortic Dissection.

Fanxing Yin · Hao Zhang · Panpan Guo · Yihao Wu · Xinya Zhao · Fangjun Li · Ce Bian · Chen Chen · Yanshuo Han · Kun Liu

Frontiers in cardiovascular medicine · 2022 doi:10.3389/fcvm.2022.831561

Paper

complete

Experiment

complete

Data

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Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:35369349
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science-record
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sha256:7ddea4415f9dee57a97f07fa08cb684d27702e74d32d29738e5591e443be9725
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
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2026-11-01T18:14:11Z
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2026-11-01T22:06:14Z
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paper object · 10 fields
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title
Comprehensive Analysis of Key m6A Modification Related Genes and Immune Infiltrates in Human Aortic Dissection.
doi
10.3389/fcvm.2022.831561
pmid
35369349
authors array · 10 items
[0]
Fanxing Yin
[1]
Hao Zhang
[2]
Panpan Guo
[3]
Yihao Wu
[4]
Xinya Zhao
[5]
Fangjun Li
[6]
Ce Bian
[7]
Chen Chen
[8]
Yanshuo Han
[9]
Kun Liu
journal
Frontiers in cardiovascular medicine
year
2022
abstract
Objective: To identify the feature of N6-methyladenosine (m6A) methylation modification genes in acute aortic dissection (AAD) and explore their relationships with immune infiltration. Methods: The GSE52093 dataset including gene expression data from patients with AAD and healthy controls was downloaded from Gene Expression Omnibus (GEO) database in order to obtain the differentially expressed genes (DEGs). The differentially methylated m6A genes were obtained from the GSE147027 dataset. The differentially expressed m6A-related genes were obtained based on the intersection results. Meanwhile, the protein-protein interaction (PPI) network of differentially expressed m6A-related genes was constructed, and hub genes with close relationships in the network were selected. Later, hub genes were verified by using the GSE153434 dataset. Thereafter, the relationships between these genes and immune cells infiltration were analyzed. Results: A total of 279 differentially expressed m6A-related genes were identified in the GSE52093 and GSE147027 datasets. Among them, 94 genes were up-regulated in aortic dissection (AD), while the remaining 185 were down-regulated. As indicated by Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, these genes were mainly associated with extracellular matrix (ECM) and smooth muscle cells (SMCs). The seven hub genes, namely, DDX17, CTGF, FLNA, SPP1, MYH11, ITGA5 and CACNA1C, were all confirmed as the potential biomarkers for AD. According to immune infiltration analysis, it was found that hub genes were related to some immune cells. For instance, DDX17, FLNA and MYH11 were correlated with Macrophages M2. Conclusion: Our study identifies hub genes of AD that may serve as the potential biomarkers, illustrates of the molecular mechanism of AD, and provides support for subsequent research and treatment development.
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sections[10] "Analysis of the Correlations Between Hub Genes and Immune Cells" paragraph 2
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Pearson correlation coefficient was used to identify interaction relationships.
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Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.
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sections[20] "Data Availability Statement" paragraph 2
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Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.
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A total of 279 differentially expressed m6A-related genes were identified in the GSE52093 and GSE147027 datasets.
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sections[0] "Abstract" paragraph 3
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A total of 279 differentially expressed m6A-related genes were identified in the GSE52093 and GSE147027 datasets.
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A total of 279 differentially expressed m6A-related genes were identified in the GSE52093 and GSE147027 datasets.
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N6-methyladenosine RNA methylome analyses in aortic dissection and normal human aorta
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Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.
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Exaggerated autophagy as molecular characterization of Stanford type A aortic dissection: A transcriptome analysis of human ascending aortic tissues
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Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.
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Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.
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Genome-wide analysis of gene expression of ascending aorta from patients with acute Stanford type A aortic dissection
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Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.
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Circulating microRNAs: a novel potential biomarker for diagnosing acute aortic dissection
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lineage object · 4 fields
parent_id
pmid:35369349
parent_hash
sha256:8151e7d958a9f7fb5ef2843c4717ef2299d8af0245aa4a58201f293970a78b79
fork_of
null
gaps array · 12 items
[0]
asset:data:geo:GSE147027 licence not read
[1]
asset:data:geo:GSE147027 not downloaded
[2]
asset:data:geo:GSE153434 licence not read
[3]
asset:data:geo:GSE153434 not downloaded
[4]
asset:data:geo:GSE52093 licence not read
[5]
asset:data:geo:GSE52093 not downloaded
[6]
asset:data:geo:GSE92427 licence not read
[7]
asset:data:geo:GSE92427 not downloaded
[8]
execution.not_run
[9]
review.human_critique
[10]
review.independent_reader
[11]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
correlation_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
pearson_r
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Pearson correlation coefficient was used to identify interaction relationships.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35369349", "kind": "science-record", "revision": 4, "content_hash": "sha256:7ddea4415f9dee57a97f07fa08cb684d27702e74d32d29738e5591e443be9725", "created_at": "2026-11-01T18:14:11Z", "updated_at": "2026-11-01T22:06:14Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Comprehensive Analysis of Key m6A Modification Related Genes and Immune Infiltrates in Human Aortic Dissection.", "doi": "10.3389/fcvm.2022.831561", "pmid": "35369349", "authors": ["Fanxing Yin", "Hao Zhang", "Panpan Guo", "Yihao Wu", "Xinya Zhao", "Fangjun Li", "Ce Bian", "Chen Chen", "Yanshuo Han", "Kun Liu"], "journal": "Frontiers in cardiovascular medicine", "year": 2022, "abstract": "Objective: To identify the feature of N6-methyladenosine (m6A) methylation modification genes in acute aortic dissection (AAD) and explore their relationships with immune infiltration.\nMethods: The GSE52093 dataset including gene expression data from patients with AAD and healthy controls was downloaded from Gene Expression Omnibus (GEO) database in order to obtain the differentially expressed genes (DEGs). The differentially methylated m6A genes were obtained from the GSE147027 dataset. The differentially expressed m6A-related genes were obtained based on the intersection results. Meanwhile, the protein-protein interaction (PPI) network of differentially expressed m6A-related genes was constructed, and hub genes with close relationships in the network were selected. Later, hub genes were verified by using the GSE153434 dataset. Thereafter, the relationships between these genes and immune cells infiltration were analyzed.\nResults: A total of 279 differentially expressed m6A-related genes were identified in the GSE52093 and GSE147027 datasets. Among them, 94 genes were up-regulated in aortic dissection (AD), while the remaining 185 were down-regulated. As indicated by Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, these genes were mainly associated with extracellular matrix (ECM) and smooth muscle cells (SMCs). The seven hub genes, namely, DDX17, CTGF, FLNA, SPP1, MYH11, ITGA5 and CACNA1C, were all confirmed as the potential biomarkers for AD. According to immune infiltration analysis, it was found that hub genes were related to some immune cells. For instance, DDX17, FLNA and MYH11 were correlated with Macrophages M2.\nConclusion: Our study identifies hub genes of AD that may serve as the potential biomarkers, illustrates of the molecular mechanism of AD, and provides support for subsequent research and treatment development.", "claims": [{"id": "claim-method", "statement": "Pearson correlation coefficient was used to identify interaction relationships.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35369349", "locator": "sections[10] \"Analysis of the Correlations Between Hub Genes and Immune Cells\" paragraph 2", "quote": "Pearson correlation coefficient was used to identify interaction relationships."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35369349", "locator": "sections[20] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 279 differentially expressed m6A-related genes were identified in the GSE52093 and GSE147027 datasets.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35369349", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A total of 279 differentially expressed m6A-related genes were identified in the GSE52093 and GSE147027 datasets."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 279 differentially expressed m6A-related genes were identified in the GSE52093 and GSE147027 datasets.", "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:35369349"], "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:GSE147027"], "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:GSE147027"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35369349", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fcvm.2022.831561", "sha256": "sha256:2229769fb16a8bb515160d01a306c05177a9b6dc4a0e4c1216cffaf7c3743ef5", "bytes": 56350, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fcvm.2022.831561", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8967178", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE147027", "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=GSE147027", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE147027", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. 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This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4644214", "GSM4644215", "GSM4644216", "GSM4644217", "GSM4644218", "GSM4644219", "GSM4644220", "GSM4644221", "GSM4644222", "GSM4644223", "GSM4644224", "GSM4644225", "GSM4644226", "GSM4644227", "GSM4644228", "GSM4644229", "GSM4644230", "GSM4644231", "GSM4644232", "GSM4644233"], "sample_count": 20, "group_sizes": null, "group_sizes_basis": null, "platform": "20795", "taxon": "Homo sapiens", "title": "Exaggerated autophagy as molecular characterization of Stanford type A aortic dissection: A transcriptome analysis of human ascending aortic tissues", "resolution_checked_at": "2026-11-01T18:06:43Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE52093", "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=GSE52093", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE52093", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1259275", "GSM1259276", "GSM1259277", "GSM1259278", "GSM1259279", "GSM1259280", "GSM1259281", "GSM1259282", "GSM1259283", "GSM1259284", "GSM1259285", "GSM1259286"], "sample_count": 12, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Genome-wide analysis of gene expression of ascending aorta from patients with acute Stanford type A aortic dissection", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE92427", "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=GSE92427", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE92427", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found at: GEO database GSE52093: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?accGSE52093 GSE147027: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147027 GSE153434: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE153434 SE92427: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92427.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2429572", "GSM2429573", "GSM2429574", "GSM2429575", "GSM2429576", "GSM2429577", "GSM2429578", "GSM2429579", "GSM2429580", "GSM2429581", "GSM2429582", "GSM2429583", "GSM2429584", "GSM2429585", "GSM2429586", "GSM2429587", "GSM2429588", "GSM2429589", "GSM2429590", "GSM2429591", "GSM2429592", "GSM2429593", "GSM2429594", "GSM2429595"], "sample_count": 24, "group_sizes": null, "group_sizes_basis": null, "platform": "16770", "taxon": "Homo sapiens", "title": "Circulating microRNAs: a novel potential biomarker for diagnosing acute aortic dissection", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE147027 not downloaded", "asset:data:geo:GSE147027 licence not read", "asset:data:geo:GSE153434 not downloaded", "asset:data:geo:GSE153434 licence not read", "asset:data:geo:GSE52093 not downloaded", "asset:data:geo:GSE52093 licence not read", "asset:data:geo:GSE92427 not downloaded", "asset:data:geo:GSE92427 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Pearson correlation coefficient was used to identify interaction relationships."}}, {"id": "method-2", "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": "protein-protein interaction"}}, {"id": "method-3", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "pathway enrichment"}}], "targets": [], "gaps": []}, "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": ["pearson_r"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: pearson."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. 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No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["pearson_r"], "assets": ["source:pmid:35369349", "data:geo:GSE147027"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE147027"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:40:35Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 16331, "completion_tokens": 1601, "cached_tokens": 128}}, "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:35369349", "type": "paper", "label": "pmid:35369349"}, {"id": "source:pmid:35369349", "type": "manuscript", "label": "PMID 35369349 full text"}, {"id": "data:geo:GSE147027", "type": "dataset", "label": "GEO GSE147027"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35369349", "type": "paper", "label": "pmid:35369349"}, {"id": "source:pmid:35369349", "type": "manuscript", "label": "PMID 35369349 full text"}, {"id": "data:geo:GSE147027", "type": "dataset", "label": "GEO GSE147027"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35369349", "type": "extraction", "used": ["source:pmid:35369349"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE147027", "type": "accession_resolution", "used": ["data:geo:GSE147027"], "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:35369349", "parent_hash": "sha256:8151e7d958a9f7fb5ef2843c4717ef2299d8af0245aa4a58201f293970a78b79", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE147027 licence not read", "asset:data:geo:GSE147027 not downloaded", "asset:data:geo:GSE153434 licence not read", "asset:data:geo:GSE153434 not downloaded", "asset:data:geo:GSE52093 licence not read", "asset:data:geo:GSE52093 not downloaded", "asset:data:geo:GSE92427 licence not read", "asset:data:geo:GSE92427 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "correlation_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["pearson_r"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Pearson correlation coefficient was used to identify interaction relationships."], "order_basis": "analysis_only", "id": "assay:1"}]}