An integrated bioinformatic investigation of focal adhesion-related genes in glioma followed by preliminary validation of COL1A2 in tumorigenesis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37354488", "kind": "science-record", "revision": 2, "content_hash": "sha256:453beb450e391278192def99af61614ac581c29fc30c1869e6cf7a98ed401c97", "created_at": "2026-11-01T19:02:05Z", "updated_at": "2026-11-01T21:31:02Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "An integrated bioinformatic investigation of focal adhesion-related genes in glioma followed by preliminary validation of COL1A2 in tumorigenesis.", "doi": "10.18632/aging.204834", "pmid": "37354488", "authors": ["Guojun Yao", "Ling Deng", "Xinquan Long", "Yufan Zhou", "Xiang Zhou"], "journal": "Aging", "year": 2023, "abstract": "Focal adhesions (FAs) allow cells to contact the extracellular matrix, helping to maintain tension and enabling signal transmission in cell migration, differentiation, and apoptosis. In addition, FAs are associated with changes in the tumor microenvironment (TME) that lead to malignant progression and drug resistance in tumors. However, there are still few studies on the comprehensive analysis of focal adhesion-related genes (FARGs) in glioma. Expression data and clinical information of glioma samples were downloaded from public databases. Two distinct molecular subtypes were identified based on FARGs using an unsupervised consensus clustering algorithm. A scoring system consisting of nine FARGs was constructed using integrated LASSO regression and multivariate Cox regression. It not only has outstanding prognostic value but also can guide immunotherapy of glioma patients, which was verified in TCGA, CGGA, GSE16011, and IMvigor210 cohorts. The results of bioinformatics analysis, immunohistochemistry staining, and western blotting all revealed that the expression of COL1A2 was up-regulated in glioblastoma and related to poor prognosis outcomes in patients from public datasets. COL1A2 promotes the proliferation, migration, and invasion of glioblastoma cells. A positive correlation between COL1A2 and CD8 was determined in GBM specimens from eight patients. Moreover, the results of cell co-cultured assay showed that COL1A2 participated in the killing of GBM cells by Jurkat cells. Our study indicates that the FARGs have prominent application value in the identification of molecular subtypes and prediction of survival outcomes in glioma patients. Bioinformatics analysis and experimental verification provide a direction for further research on FARGs.", "claims": [{"id": "claim-method", "statement": "We screened 175 FARGs with prognostic significance from 192 FARGs using uni-Cox regression analysis. 175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × coefficient).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37354488", "locator": "sections[21] \"Construction of a scoring system and verification of its prognostic value\" paragraph 2", "quote": "We screened 175 FARGs with prognostic significance from 192 FARGs using uni-Cox regression analysis. 175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × coefficient)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The Cancer Genome Atlas (TCGA) database: https://portal.gdc.cancer.gov/. Chinese Glioma Genome Atlas (CGGA) database: http://www.cgga.org.cn/. Gene Expression Omnibus (GEO) databse: https://www.ncbi.nlm.nih.gov/geo/. National Human Genome Research Institute Home (NIH): https://www.genome.gov/. Data Visualization Tools for Brain Tumor Datasets (GlioVis): http://gliovis.bioinfo.cnio.es/. Molecular Signatures Database: https://www.gsea-msigdb.org/gsea/index.jsp. Gene Expression Profiling Interactive Analysis (GEPIA) database: http://gepia.cancer-pku.cn/detail.php. Tumor Immune Dysfunction and Exclusion (TIDE): http://tide.dfci.harvard.edu/. IMvigor210 cohort: http://research-pub.gene.com/IMvigor210CoreBiologies).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37354488", "locator": "sections[31] \"Availability of data and materials\" paragraph 2", "quote": "The Cancer Genome Atlas (TCGA) database: https://portal.gdc.cancer.gov/. Chinese Glioma Genome Atlas (CGGA) database: http://www.cgga.org.cn/. Gene Expression Omnibus (GEO) databse: https://www.ncbi.nlm.nih.gov/geo/. National Human Genome Research Institute Home (NIH): https://www.genome.gov/. Data Visualization Tools for Brain Tumor Datasets (GlioVis): http://gliovis.bioinfo.cnio.es/. Molecular Signatures Database: https://www.gsea-msigdb.org/gsea/index.jsp. Gene Expression Profiling Interactive Analysis (GEPIA) database: http://gepia.cancer-pku.cn/detail.php. Tumor Immune Dysfunction and Exclusion (TIDE): http://tide.dfci.harvard.edu/. IMvigor210 cohort: http://research-pub.gene.com/IMvigor210CoreBiologies)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Nine focal adhesion-related genes were selected using uni-Cox regression, LASSO, and multi-Cox regression to construct a prognostic risk-score system.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37354488", "locator": "sections[21] \"Construction of a scoring system and verification of its prognostic value\" paragraph 2", "quote": "175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × coefficient)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Nine focal adhesion-related genes were selected using uni-Cox regression, LASSO, and multi-Cox regression to construct a prognostic risk-score system.", "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:37354488"], "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:GSE16011"], "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:GSE16011"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37354488", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/aging.204834", "sha256": "sha256:0c4c7b6e3f3d834b1bec4b373b6c4ff66d68d0e8350aae230a823de3f9b69cb0", "bytes": 68216, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.18632/aging.204834", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10373961", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE16011", "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=GSE16011", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE16011", "version": null, "note": "The Cancer Genome Atlas (TCGA) database: https://portal.gdc.cancer.gov/. Chinese Glioma Genome Atlas (CGGA) database: http://www.cgga.org.cn/. Gene Expression Omnibus (GEO) databse: https://www.ncbi.nlm.nih.gov/geo/. National Human Genome Research Institute Home (NIH): https://www.genome.gov/. Data Visualization Tools for Brain Tumor Datasets (GlioVis): http://gliovis.bioinfo.cnio.es/. Molecular Signatures Database: https://www.gsea-msigdb.org/gsea/index.jsp. Gene Expression Profiling Interactive Analysis (GEPIA) database: http://gepia.cancer-pku.cn/detail.php. Tumor Immune Dysfunction and Exclusion (TIDE): http://tide.dfci.harvard.edu/. IMvigor210 cohort: http://research-pub.gene.com/IMvigor210CoreBiologies).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The Cancer Genome Atlas (TCGA) database: https://portal.gdc.cancer.gov/. Chinese Glioma Genome Atlas (CGGA) database: http://www.cgga.org.cn/. Gene Expression Omnibus (GEO) databse: https://www.ncbi.nlm.nih.gov/geo/. National Human Genome Research Institute Home (NIH): https://www.genome.gov/. Data Visualization Tools for Brain Tumor Datasets (GlioVis): http://gliovis.bioinfo.cnio.es/. Molecular Signatures Database: https://www.gsea-msigdb.org/gsea/index.jsp. Gene Expression Profiling Interactive Analysis (GEPIA) database: http://gepia.cancer-pku.cn/detail.php. Tumor Immune Dysfunction and Exclusion (TIDE): http://tide.dfci.harvard.edu/. IMvigor210 cohort: http://research-pub.gene.com/IMvigor210CoreBiologies).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM405200", "GSM405201", "GSM405202", "GSM405203", "GSM405204", "GSM405205", "GSM405206", "GSM405207", "GSM405208", "GSM405209", "GSM405210", "GSM405211", "GSM405212", "GSM405213", "GSM405214", "GSM405215", "GSM405216", "GSM405217", "GSM405218", "GSM405219", "GSM405220", "GSM405221", "GSM405222", "GSM405223", "GSM405224", "GSM405225", "GSM405226", "GSM405227", "GSM405228", "GSM405229", "GSM405230", "GSM405231", "GSM405232", "GSM405233", "GSM405234", "GSM405235", "GSM405236", "GSM405237", "GSM405238", "GSM405239", "GSM405240", "GSM405241", "GSM405242", "GSM405243", "GSM405244", "GSM405245", "GSM405246", "GSM405247", "GSM405248", "GSM405249", "GSM405250", "GSM405251", "GSM405252", "GSM405253", "GSM405254", "GSM405255", "GSM405256", "GSM405257", "GSM405258", "GSM405259", "GSM405260", "GSM405261", "GSM405262", "GSM405263", "GSM405264", "GSM405265", "GSM405266", "GSM405267", "GSM405268", "GSM405269", "GSM405270", "GSM405271", "GSM405272", "GSM405273", "GSM405274", "GSM405275", "GSM405276", "GSM405277", "GSM405278", "GSM405279", "GSM405280", "GSM405281", "GSM405282", "GSM405283", "GSM405284", "GSM405285", "GSM405286", "GSM405287", "GSM405288", "GSM405289", "GSM405290", "GSM405291", "GSM405292", "GSM405293", "GSM405294", "GSM405295", "GSM405296", "GSM405297", "GSM405298", "GSM405299", "GSM405300", "GSM405301", "GSM405302", "GSM405303", "GSM405304", "GSM405305", "GSM405306", "GSM405307", "GSM405308", "GSM405309", "GSM405310", "GSM405311", "GSM405312", "GSM405313", "GSM405314", "GSM405315", "GSM405316", "GSM405317", "GSM405318", "GSM405319", "GSM405320", "GSM405321", "GSM405322", "GSM405323", "GSM405324", "GSM405325", "GSM405326", "GSM405327", "GSM405328", "GSM405329", "GSM405330", "GSM405331", "GSM405332", "GSM405333", "GSM405334", "GSM405335", "GSM405336", "GSM405337", "GSM405338", "GSM405339", "GSM405340", "GSM405341", "GSM405342", "GSM405343", "GSM405344", "GSM405345", "GSM405346", "GSM405347", "GSM405348", "GSM405349", "GSM405350", "GSM405351", "GSM405352", "GSM405353", "GSM405354", "GSM405355", "GSM405356", "GSM405357", "GSM405358", "GSM405359", "GSM405360", "GSM405361", "GSM405362", "GSM405363", "GSM405364", "GSM405365", "GSM405366", "GSM405367", "GSM405368", "GSM405369", "GSM405370", "GSM405371", "GSM405372", "GSM405373", "GSM405374", "GSM405375", "GSM405376", "GSM405377", "GSM405378", "GSM405379", "GSM405380", "GSM405381", "GSM405382", "GSM405383", "GSM405384", "GSM405385", "GSM405386", "GSM405387", "GSM405388", "GSM405389", "GSM405390", "GSM405391", "GSM405392", "GSM405393", "GSM405394", "GSM405395", "GSM405396", "GSM405397", "GSM405398", "GSM405399", "GSM405400", "GSM405401", "GSM405402", "GSM405403", "GSM405404", "GSM405405", "GSM405406", "GSM405407", "GSM405408", "GSM405409", "GSM405410", "GSM405411", "GSM405412", "GSM405413", "GSM405414", "GSM405415", "GSM405416", "GSM405417", "GSM405418", "GSM405419", "GSM405420", "GSM405421", "GSM405422", "GSM405423", "GSM405424", "GSM405425", "GSM405426", "GSM405427", "GSM405428", "GSM405429", "GSM405430", "GSM405431", "GSM405432", "GSM405433", "GSM405434", "GSM405435", "GSM405436", "GSM405437", "GSM405438", "GSM405439", "GSM405440", "GSM405441", "GSM405442", "GSM405443", "GSM405444", "GSM405445", "GSM405446", "GSM405447", "GSM405448", "GSM405449", "GSM405450", "GSM405451", "GSM405452", "GSM405453", "GSM405454", "GSM405455", "GSM405456", "GSM405457", "GSM405458", "GSM405459", "GSM405460", "GSM405461", "GSM405462", "GSM405463", "GSM405464", "GSM405465", "GSM405466", "GSM405467", "GSM405468", "GSM405469", "GSM405470", "GSM405471", "GSM405472", "GSM405473", "GSM405474", "GSM405475", "GSM405476", "GSM405477", "GSM405478", "GSM405479", "GSM405480", "GSM405481", "GSM405482", "GSM405483"], "sample_count": 284, "group_sizes": null, "group_sizes_basis": null, "platform": "8542", "taxon": "Homo sapiens", "title": "Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology", "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:GSE16011 not downloaded", "asset:data:geo:GSE16011 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "We screened 175 FARGs with prognostic significance from 192 FARGs using uni-Cox regression analysis. 175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × coefficient)."}}], "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": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "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": ["GSE16011"], "resolved_accessions": ["GSE16011"], "statements": ["The Cancer Genome Atlas (TCGA) database: https://portal.gdc.cancer.gov/. Chinese Glioma Genome Atlas (CGGA) database: http://www.cgga.org.cn/. Gene Expression Omnibus (GEO) databse: https://www.ncbi.nlm.nih.gov/geo/. National Human Genome Research Institute Home (NIH): https://www.genome.gov/. Data Visualization Tools for Brain Tumor Datasets (GlioVis): http://gliovis.bioinfo.cnio.es/. Molecular Signatures Database: https://www.gsea-msigdb.org/gsea/index.jsp. Gene Expression Profiling Interactive Analysis (GEPIA) database: http://gepia.cancer-pku.cn/detail.php. Tumor Immune Dysfunction and Exclusion (TIDE): http://tide.dfci.harvard.edu/. IMvigor210 cohort: http://research-pub.gene.com/IMvigor210CoreBiologies)."], "basis": "The paper names GSE16011 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:37354488", "data:geo:GSE16011"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE16011"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:44:55Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 19739, "completion_tokens": 2929, "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:37354488", "type": "paper", "label": "pmid:37354488"}, {"id": "source:pmid:37354488", "type": "manuscript", "label": "PMID 37354488 full text"}, {"id": "data:geo:GSE16011", "type": "dataset", "label": "GEO GSE16011"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37354488", "type": "paper", "label": "pmid:37354488"}, {"id": "source:pmid:37354488", "type": "manuscript", "label": "PMID 37354488 full text"}, {"id": "data:geo:GSE16011", "type": "dataset", "label": "GEO GSE16011"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37354488", "type": "extraction", "used": ["source:pmid:37354488"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE16011", "type": "accession_resolution", "used": ["data:geo:GSE16011"], "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:37354488", "parent_hash": "sha256:a4fb016bf127bc6a1b194d8dfc399c2f55e48dd3c59aadc6f89f2d982cddfff9", "fork_of": null, "generation": 1}, "gaps": ["asset:data:geo:GSE16011 licence not read", "asset:data:geo:GSE16011 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.69, "evidence": ["sion in cell migration, differentiation, and apoptosis. In addition, FAs are associated with change"], "order_basis": "paper_text_order:274", "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": 0.93, "evidence": ["rts. The results of bioinformatics analysis, immunohistochemistry staining, and western blotting all revealed"], "order_basis": "paper_text_order:1096", "id": "assay:2"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["analysis, immunohistochemistry staining, and western blotting all revealed that the expression of COL1A2 w"], "order_basis": "paper_text_order:1131", "id": "assay:3"}, {"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": ["and anti–CTLA-4 immunotherapy. Cell culture, transfection, and activation Normal human astrocytes (NHA", "were added to the culture medium. The COL1A2 knockdown and overexpression plasmids were constructed"], "order_basis": "paper_text_order:5837", "id": "assay:4"}, {"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": ["ed with RPMI-1640 medium (Gibco, USA), other cell lines were cultured with MEM (Gibco, USA) or DMEM (Gibco, USA).", "source Center. Except that Jurkat cells were cultured with RPMI-1640 medium (Gibco, USA), other cell li", "0 medium (Gibco, USA), other cell lines were cultured with MEM (Gibco, USA) or DMEM (Gibco, USA). 50 IU", "s proliferated. Jurkat and GBM cells were co-cultured (Jurkat: GBM cells = 1:1) in 96-well plates"], "order_basis": "paper_text_order:6122", "id": "assay:5"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["We screened 175 FARGs with prognostic significance from 192 FARGs using uni-Cox regression analysis. 175 FARGs were further screened by lasso algorithm and multi-Cox regression analysis, and nine FARGs were finally obtained to construct a scoring system: risk score = sum (gene expression × coefficient)."], "order_basis": "consumes_earlier_output", "id": "assay:6"}]}