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pmid:36233060

NCAPG Promotes Pulmonary Artery Smooth Muscle Cell Proliferation as a Promising Therapeutic Target of Idiopathic Pulmonary Hypertension: Bioinformatics Analysis and Experiment Verification.

Bowen Fu · You Li · Xiaobo Shi · Peng Liu · Yiman Zhang · Hongyan Tian

International journal of molecular sciences · 2022 doi:10.3390/ijms231911762

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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pmid:36233060
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title
NCAPG Promotes Pulmonary Artery Smooth Muscle Cell Proliferation as a Promising Therapeutic Target of Idiopathic Pulmonary Hypertension: Bioinformatics Analysis and Experiment Verification.
doi
10.3390/ijms231911762
pmid
36233060
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[0]
Bowen Fu
[1]
You Li
[2]
Xiaobo Shi
[3]
Peng Liu
[4]
Yiman Zhang
[5]
Hongyan Tian
journal
International journal of molecular sciences
year
2022
abstract
Idiopathic pulmonary arterial hypertension (IPAH) is a disease with complex etiology. Currently, IPAH treatment is limited, and patients' prognosis is poor. This study aimed to explore new therapeutic targets in IPAH through bioinformatics. Two data sets (GSE113439 and GSE130391) meeting the requirements were obtained from the Gene Expression Omnibus (GEO) database. Then, differentially expressed genes (DEGs) were identified and analyzed by NetworkAnalyst platform. By enriching Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG), we examined the function of DEGs. A protein-protein interaction (PPI) network was constructed to identify central genes using the CytoNCA plug-in. Finally, four central genes, ASPM, CENPE, NCAPG, and TOP2A, were screened out. We selected NCAPG for protein-level verification. We established an animal model of PAH and found that the expression of NCAPG was significantly increased in the lung tissue of PAH rats. In vitro experiments showed that the expression of NCAPG was significantly increased in proliferative pulmonary arterial smooth muscle cells (PASMCs). When NCAPG of PASMCs was knocked down, the cell proliferation was inhibited, which suggested that NCAPG was related to the proliferation of PASMCs. Therefore, these results may provide new therapeutic targets for IPAH.
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DEGs analysis was performed using NetworkAnalyst (https://www.networkanalyst.ca/, accessed on 1 September 2021), an online analysis platform for comprehensive gene expression profiling and network visual analytics [44]. The preprocessed gene expression data were uploaded to the website, and the “limma” method was selected for analysis after data quality check.
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sections[10] "4.1. Data Collection and DEGs Identification" paragraph 2
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DEGs analysis was performed using NetworkAnalyst (https://www.networkanalyst.ca/, accessed on 1 September 2021), an online analysis platform for comprehensive gene expression profiling and network visual analytics [44]. The preprocessed gene expression data were uploaded to the website, and the “limma” method was selected for analysis after data quality check.
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Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author.
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Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author.
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The intersection of the two IPAH microarray data sets contained 612 differentially expressed genes, including 394 upregulated and 218 downregulated genes.
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By intersection, 612 DEGs were identified, of which 394 were upregulated, and 218 were downregulated.
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sections[3] "2.1. Identification of DEGs" paragraph 2
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The intersection DEGs of the two data sets were screened by the Venny 2.1 platform, and there were 394 upregulated DEGs (Table S3) and 218 downregulated DEGs (Table S4).
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DEGs analysis was performed using NetworkAnalyst (https://www.networkanalyst.ca/, accessed on 1 September 2021), an online analysis platform for comprehensive gene expression profiling and network visual analytics [44]. The preprocessed gene expression data were uploaded to the website, and the “limma” method was selected for analysis after data quality check.
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Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author.
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ficantly increased in the lung tissue of PAH rats. In vitro experiments showed that the expres
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re (RVSP) and RV/(LV + S) of MCT-induced PAH rats were significantly higher than those of the contr
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n Jiaotong University Health Science Center. Rats were randomly divided into two groups: the contro
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e artery was cut into pieces. The cells were cultured with Dulbecco’s Modified Eagle Medium (DMEM; Hycl
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DEGs analysis was performed using NetworkAnalyst (https://www.networkanalyst.ca/, accessed on 1 September 2021), an online analysis platform for comprehensive gene expression profiling and network visual analytics [44]. The preprocessed gene expression data were uploaded to the website, and the “limma” method was selected for analysis after data quality check.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36233060", "kind": "science-record", "revision": 5, "content_hash": "sha256:d7225fc2e1db4358605a477d07f59db1f27cdedff8ccf4cb8352aabe6099f3ca", "created_at": "2026-11-01T18:15:36Z", "updated_at": "2026-11-01T22:50:20Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "NCAPG Promotes Pulmonary Artery Smooth Muscle Cell Proliferation as a Promising Therapeutic Target of Idiopathic Pulmonary Hypertension: Bioinformatics Analysis and Experiment Verification.", "doi": "10.3390/ijms231911762", "pmid": "36233060", "authors": ["Bowen Fu", "You Li", "Xiaobo Shi", "Peng Liu", "Yiman Zhang", "Hongyan Tian"], "journal": "International journal of molecular sciences", "year": 2022, "abstract": "Idiopathic pulmonary arterial hypertension (IPAH) is a disease with complex etiology. Currently, IPAH treatment is limited, and patients' prognosis is poor. This study aimed to explore new therapeutic targets in IPAH through bioinformatics. Two data sets (GSE113439 and GSE130391) meeting the requirements were obtained from the Gene Expression Omnibus (GEO) database. Then, differentially expressed genes (DEGs) were identified and analyzed by NetworkAnalyst platform. By enriching Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG), we examined the function of DEGs. A protein-protein interaction (PPI) network was constructed to identify central genes using the CytoNCA plug-in. Finally, four central genes, ASPM, CENPE, NCAPG, and TOP2A, were screened out. We selected NCAPG for protein-level verification. We established an animal model of PAH and found that the expression of NCAPG was significantly increased in the lung tissue of PAH rats. In vitro experiments showed that the expression of NCAPG was significantly increased in proliferative pulmonary arterial smooth muscle cells (PASMCs). When NCAPG of PASMCs was knocked down, the cell proliferation was inhibited, which suggested that NCAPG was related to the proliferation of PASMCs. Therefore, these results may provide new therapeutic targets for IPAH.", "claims": [{"id": "claim-method", "statement": "DEGs analysis was performed using NetworkAnalyst (https://www.networkanalyst.ca/, accessed on 1 September 2021), an online analysis platform for comprehensive gene expression profiling and network visual analytics [44]. The preprocessed gene expression data were uploaded to the website, and the “limma” method was selected for analysis after data quality check.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36233060", "locator": "sections[10] \"4.1. Data Collection and DEGs Identification\" paragraph 2", "quote": "DEGs analysis was performed using NetworkAnalyst (https://www.networkanalyst.ca/, accessed on 1 September 2021), an online analysis platform for comprehensive gene expression profiling and network visual analytics [44]. The preprocessed gene expression data were uploaded to the website, and the “limma” method was selected for analysis after data quality check."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36233060", "locator": "sections[26] \"notes\" paragraph 1", "quote": "Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The intersection of the two IPAH microarray data sets contained 612 differentially expressed genes, including 394 upregulated and 218 downregulated genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36233060", "locator": "sections[8] \"3. Discussion\" paragraph 3", "quote": "By intersection, 612 DEGs were identified, of which 394 were upregulated, and 218 were downregulated."}, {"asset": "source:pmid:36233060", "locator": "sections[3] \"2.1. Identification of DEGs\" paragraph 2", "quote": "The intersection DEGs of the two data sets were screened by the Venny 2.1 platform, and there were 394 upregulated DEGs (Table S3) and 218 downregulated DEGs (Table S4)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The intersection of the two IPAH microarray data sets contained 612 differentially expressed genes, including 394 upregulated and 218 downregulated genes.", "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:36233060"], "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:GSE113439"], "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:GSE113439"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36233060", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/ijms231911762", "sha256": "sha256:fe023c119e12b933925b5ef9078119480c4098306496cd7f6c6915b17b16fb07", "bytes": 29864, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/ijms231911762", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9570379", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE113439", "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=GSE113439", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE113439", "version": null, "note": "Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3106326", "GSM3106327", "GSM3106328", "GSM3106329", "GSM3106330", "GSM3106331", "GSM3106332", "GSM3106333", "GSM3106334", "GSM3106335", "GSM3106336", "GSM3106337", "GSM3106338", "GSM3106339", "GSM3106340", "GSM3106341", "GSM3106342", "GSM3106343", "GSM3106344", "GSM3106345", "GSM3106346", "GSM3106347", "GSM3106348", "GSM3106349", "GSM3106350", "GSM3106351"], "sample_count": 26, "group_sizes": null, "group_sizes_basis": null, "platform": "6244", "taxon": "Homo sapiens", "title": "Gene expression profiling of pulmonary arterial hypertension", "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:GSE130391", "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=GSE130391", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE130391", "version": null, "note": "Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3737373", "GSM3737374", "GSM3737375", "GSM3737376", "GSM3737377", "GSM3737378", "GSM3737379", "GSM3737380", "GSM3737381", "GSM3737382", "GSM3737383", "GSM3737384", "GSM3737385", "GSM3737386", "GSM3737387", "GSM3737388", "GSM3737389", "GSM3737390", "GSM3737391", "GSM3737392", "GSM3737393", "GSM3737394"], "sample_count": 22, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Comparing CTEPH to Control and IPAH pulmonary arteries", "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:GSE113439 not downloaded", "asset:data:geo:GSE113439 licence not read", "asset:data:geo:GSE130391 not downloaded", "asset:data:geo:GSE130391 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": "DEGs analysis was performed using NetworkAnalyst (https://www.networkanalyst.ca/, accessed on 1 September 2021), an online analysis platform for comprehensive gene expression profiling and network visual analytics [44]. The preprocessed gene expression data were uploaded to the website, and the “limma” method was selected for analysis after data quality check."}}, {"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": "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-4", "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": 0.8, "band": "high", "quote": "GO enrichment"}}], "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": ["GSE113439", "GSE130391"], "resolved_accessions": ["GSE113439", "GSE130391"], "statements": ["Publicly available data sets were analyzed in this study. This data can be found here: GEO database (https://www.ncbi.nlm.nih.gov/geo/, accessed on 20 August 2021); the original contributions presented in the study are included in the article/Supplementary Materials, and further inquiries can be directed to the corresponding author."], "basis": "The paper names GSE113439, GSE130391 in Gene Expression Omnibus (GEO) 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:36233060", "data:geo:GSE113439"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE113439"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:10:37Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 9168, "completion_tokens": 1443, "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:36233060", "type": "paper", "label": "pmid:36233060"}, {"id": "source:pmid:36233060", "type": "manuscript", "label": "PMID 36233060 full text"}, {"id": "data:geo:GSE113439", "type": "dataset", "label": "GEO GSE113439"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36233060", "type": "paper", "label": "pmid:36233060"}, {"id": "source:pmid:36233060", "type": "manuscript", "label": "PMID 36233060 full text"}, {"id": "data:geo:GSE113439", "type": "dataset", "label": "GEO GSE113439"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36233060", "type": "extraction", "used": ["source:pmid:36233060"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE113439", "type": "accession_resolution", "used": ["data:geo:GSE113439"], "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:36233060", "parent_hash": "sha256:781423c276b0052263cb45f04654fe08bcb422c00d4b3ca4828365b7ad1d450d", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:GSE113439 licence not read", "asset:data:geo:GSE113439 not downloaded", "asset:data:geo:GSE130391 licence not read", "asset:data:geo:GSE130391 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": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ficantly increased in the lung tissue of PAH rats. In vitro experiments showed that the expres", "re (RVSP) and RV/(LV + S) of MCT-induced PAH rats were significantly higher than those of the contr", "n Jiaotong University Health Science Center. Rats were randomly divided into two groups: the contro", ", n = 6) and the PAH group (PAH, n = 6). All rats were housed in the Laboratory Animal Center of Xi"], "order_basis": "paper_text_order:1110", "id": "assay:1"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["e artery was cut into pieces. The cells were cultured with Dulbecco’s Modified Eagle Medium (DMEM; Hycl", "the cells reached 80% confluence, they were passaged using 0.25% trypsin (Gibco, Grand Island, NY"], "order_basis": "paper_text_order:4901", "id": "assay:2"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["manufacturer’s instructions, the cells were transfected with si-NCAPG or non-target control siRNA in", "M medium (Gibco, Grand Island, NY, USA). The transfection reagent was Lipofectamine 2000 (Invitrogen,", ", Rocky Hill, NJ, USA) for 24, 48, and 72 h. siRNA was synthesized by Hanheng Biotechnology (Sh", "nsfected with si-NCAPG or non-target control siRNA in Opti-MEM medium (Gibco, Grand Island, NY,"], "order_basis": "paper_text_order:5563", "id": "assay:3"}, {"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": ["DEGs analysis was performed using NetworkAnalyst (https://www.networkanalyst.ca/, accessed on 1 September 2021), an online analysis platform for comprehensive gene expression profiling and network visual analytics [44]. The preprocessed gene expression data were uploaded to the website, and the “limma” method was selected for analysis after data quality check."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}