← All .science files
pmid:34630524
Development and Validation of a Novel Gene Signature for Predicting the Prognosis by Identifying m5C Modification Subtypes of Cervical Cancer.
Jing Yu · Lei-Lei Liang · Jing Liu · Ting-Ting Liu · Jian Li · Lin Xiu · Jia Zeng · Tian-Tian Wang · Di Wang · Li-Jun Liang · Da-Wei Xie · Ding-Xiong Chen · Ju-Sheng An · Ling-Ying Wu
Frontiers in genetics · 2021 doi:10.3389/fgene.2021.733715
Paper
complete
Experiment
complete
Data
partial
Analysis
partial
Execution
absent
Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
paper object · 10 fields
authors array · 14 items
claims array · 3 items
[0] object · 6 fields
[1] object · 6 fields
gaps array · 0 items
experiment object · 8 fields
steps array · 3 items
[0] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
assets array · 2 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 300 items
gaps array · 2 items
analysis object · 4 fields
methods array · 6 items
[0] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[1] object · 10 fields
dsl_operations array · 4 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[2] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[3] object · 10 fields
dsl_operations array · 3 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[4] object · 10 fields
dsl_operations array · 2 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[5] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
targets array · 0 items
gaps array · 1 item
capability object · 3 fields
requirements array · 1 item
[0] object · 6 fields
assay_families array · 9 items
gaps array · 0 items
readiness object · 8 fields
axes object · 3 fields
method object · 5 fields
required_operations array · 1 item
missing_operations array · 0 items
capability object · 4 fields
data object · 6 fields
accessions array · 1 item
resolved_accessions array · 1 item
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 1 item
assets array · 2 items
steps array · 1 item
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
gaps array · 0 items
review object · 5 fields
machine_critique object · 5 fields
reader object · 5 fields
evidence_check object · 2 fields
usage object · 3 fields
stages array · 1 item
[0] object · 4 fields
gaps array · 3 items
provenance object · 7 fields
entities array · 3 items
activities array · 3 items
[0] object · 4 fields
used array · 3 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 fields
[1] object · 4 fields
agents array · 2 items
lineage object · 4 fields
gaps array · 7 items
assays array · 4 items
[0] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 2 items
[1] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 3 items
[2] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 2 items
[3] object · 11 fields
required_operations array · 1 item
source_hashes object · 1 field
evidence array · 1 item
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34630524", "kind": "science-record", "revision": 5, "content_hash": "sha256:e47b3bc0d0e875d9ead553f13bc824ade40958a367eb5b3b4eda4665de331cef", "created_at": "2026-11-01T17:36:16Z", "updated_at": "2026-11-01T22:47:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Development and Validation of a Novel Gene Signature for Predicting the Prognosis by Identifying m5C Modification Subtypes of Cervical Cancer.", "doi": "10.3389/fgene.2021.733715", "pmid": "34630524", "authors": ["Jing Yu", "Lei-Lei Liang", "Jing Liu", "Ting-Ting Liu", "Jian Li", "Lin Xiu", "Jia Zeng", "Tian-Tian Wang", "Di Wang", "Li-Jun Liang", "Da-Wei Xie", "Ding-Xiong Chen", "Ju-Sheng An", "Ling-Ying Wu"], "journal": "Frontiers in genetics", "year": 2021, "abstract": "Background: 5-Methylcytidine (m5C) is the most common RNA modification and plays an important role in multiple tumors including cervical cancer (CC). We aimed to develop a novel gene signature by identifying m5C modification subtypes of CC to better predict the prognosis of patients. Methods: We obtained the expression of 13 m5C regulatory factors from The Cancer Genome Atlas (TCGA all set, 257 patients) to determine m5C modification subtypes by the \"nonnegative matrix factorization\" (NMF). Then the \"limma\" package was used to identify differentially expressed genes (DEGs) between different subtypes. According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients). We also verified the risk prediction effect of gene signature in TCGA test set (129 patients), TCGA all set (257 patients) and GSE44001 (300 patients). Furthermore, a nomogram including this gene signature and clinicopathological parameters was established to predict the individual survival rate. Finally, the expression and function of these signature genes were explored by qRT-PCR, immunohistochemistry (IHC) and proliferation, colony formation, migration and invasion assays. Results: Based on consistent clustering of 13 m5C-modified genes, CC was divided into two subtypes (C1 and C2) and the C1 subtype had a worse prognosis. The 4-gene signature comprising FNDC3A, VEGFA, OPN3 and CPE was constructed. In TCGA training set and three validation sets, we found the prognosis of patients in the low-risk group was much better than that in the high-risk group. A nomogram incorporating the gene signature and T stage was constructed, and the calibration plot suggested that it could accurately predict the survival rate. The expression levels of FNDC3A, VEGFA, OPN3 and CPE were all high in cervical cancer tissues. Downregulation of FNDC3A, VEGFA or CPE expression suppressed the proliferation, migration and invasion of SiHa cells. Conclusions: Two m5C modification subtypes of CC were identified and then a 4-gene signature was established, which provide new feasible methods for clinical risk assessment and targeted therapies for CC.", "claims": [{"id": "claim-method", "statement": "According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34630524", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34630524", "locator": "sections[31] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study identified two m5C modification subtypes of cervical cancer and established a four-gene prognostic signature comprising FNDC3A, VEGFA, OPN3 and CPE.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34630524", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Two m5C modification subtypes of CC were identified and then a 4-gene signature was established, which provide new feasible methods for clinical risk assessment and targeted therapies for CC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study identified two m5C modification subtypes of cervical cancer and established a four-gene prognostic signature comprising FNDC3A, VEGFA, OPN3 and CPE.", "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:34630524"], "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:GSE44001"], "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:GSE44001"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34630524", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fgene.2021.733715", "sha256": "sha256:be9695d5590a900961dcfbb77b148e4fd8ef50c6aa39a5f0cdc15497e2d83264", "bytes": 53635, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fgene.2021.733715", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8493221", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE44001", "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=GSE44001", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE44001", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1076341", "GSM1076342", "GSM1076343", "GSM1076344", "GSM1076345", "GSM1076346", "GSM1076347", "GSM1076348", "GSM1076349", "GSM1076350", "GSM1076351", "GSM1076352", "GSM1076353", "GSM1076354", "GSM1076355", "GSM1076356", "GSM1076357", "GSM1076358", "GSM1076359", "GSM1076360", "GSM1076361", "GSM1076362", "GSM1076363", "GSM1076364", "GSM1076365", "GSM1076366", "GSM1076367", "GSM1076368", "GSM1076369", "GSM1076370", "GSM1076371", "GSM1076372", "GSM1076373", "GSM1076374", "GSM1076375", "GSM1076376", "GSM1076377", "GSM1076378", "GSM1076379", "GSM1076380", "GSM1076381", "GSM1076382", "GSM1076383", "GSM1076384", "GSM1076385", "GSM1076386", "GSM1076387", "GSM1076388", "GSM1076389", "GSM1076390", "GSM1076391", "GSM1076392", "GSM1076393", "GSM1076394", "GSM1076395", "GSM1076396", "GSM1076397", "GSM1076398", "GSM1076399", "GSM1076400", "GSM1076401", "GSM1076402", "GSM1076403", "GSM1076404", "GSM1076405", "GSM1076406", "GSM1076407", "GSM1076408", "GSM1076409", "GSM1076410", "GSM1076411", "GSM1076412", "GSM1076413", "GSM1076414", "GSM1076415", "GSM1076416", "GSM1076417", "GSM1076418", "GSM1076419", "GSM1076420", "GSM1076421", "GSM1076422", "GSM1076423", "GSM1076424", "GSM1076425", "GSM1076426", "GSM1076427", "GSM1076428", "GSM1076429", "GSM1076430", "GSM1076431", "GSM1076432", "GSM1076433", "GSM1076434", "GSM1076435", "GSM1076436", "GSM1076437", "GSM1076438", "GSM1076439", "GSM1076440", "GSM1076441", "GSM1076442", "GSM1076443", "GSM1076444", "GSM1076445", "GSM1076446", "GSM1076447", "GSM1076448", "GSM1076449", "GSM1076450", "GSM1076451", "GSM1076452", "GSM1076453", "GSM1076454", "GSM1076455", "GSM1076456", "GSM1076457", "GSM1076458", "GSM1076459", "GSM1076460", "GSM1076461", "GSM1076462", "GSM1076463", "GSM1076464", "GSM1076465", "GSM1076466", "GSM1076467", "GSM1076468", "GSM1076469", "GSM1076470", "GSM1076471", "GSM1076472", "GSM1076473", "GSM1076474", "GSM1076475", "GSM1076476", "GSM1076477", "GSM1076478", "GSM1076479", "GSM1076480", "GSM1076481", "GSM1076482", "GSM1076483", "GSM1076484", "GSM1076485", "GSM1076486", "GSM1076487", "GSM1076488", "GSM1076489", "GSM1076490", "GSM1076491", "GSM1076492", "GSM1076493", "GSM1076494", "GSM1076495", "GSM1076496", "GSM1076497", "GSM1076498", "GSM1076499", "GSM1076500", "GSM1076501", "GSM1076502", "GSM1076503", "GSM1076504", "GSM1076505", "GSM1076506", "GSM1076507", "GSM1076508", "GSM1076509", "GSM1076510", "GSM1076511", "GSM1076512", "GSM1076513", "GSM1076514", "GSM1076515", "GSM1076516", "GSM1076517", "GSM1076518", "GSM1076519", "GSM1076520", "GSM1076521", "GSM1076522", "GSM1076523", "GSM1076524", "GSM1076525", "GSM1076526", "GSM1076527", "GSM1076528", "GSM1076529", "GSM1076530", "GSM1076531", "GSM1076532", "GSM1076533", "GSM1076534", "GSM1076535", "GSM1076536", "GSM1076537", "GSM1076538", "GSM1076539", "GSM1076540", "GSM1076541", "GSM1076542", "GSM1076543", "GSM1076544", "GSM1076545", "GSM1076546", "GSM1076547", "GSM1076548", "GSM1076549", "GSM1076550", "GSM1076551", "GSM1076552", "GSM1076553", "GSM1076554", "GSM1076555", "GSM1076556", "GSM1076557", "GSM1076558", "GSM1076559", "GSM1076560", "GSM1076561", "GSM1076562", "GSM1076563", "GSM1076564", "GSM1076565", "GSM1076566", "GSM1076567", "GSM1076568", "GSM1076569", "GSM1076570", "GSM1076571", "GSM1076572", "GSM1076573", "GSM1076574", "GSM1076575", "GSM1076576", "GSM1076577", "GSM1076578", "GSM1076579", "GSM1076580", "GSM1076581", "GSM1076582", "GSM1076583", "GSM1076584", "GSM1076585", "GSM1076586", "GSM1076587", "GSM1076588", "GSM1076589", "GSM1076590", "GSM1076591", "GSM1076592", "GSM1076593", "GSM1076594", "GSM1076595", "GSM1076596", "GSM1076597", "GSM1076598", "GSM1076599", "GSM1076600", "GSM1076601", "GSM1076602", "GSM1076603", "GSM1076604", "GSM1076605", "GSM1076606", "GSM1076607", "GSM1076608", "GSM1076609", "GSM1076610", "GSM1076611", "GSM1076612", "GSM1076613", "GSM1076614", "GSM1076615", "GSM1076616", "GSM1076617", "GSM1076618", "GSM1076619", "GSM1076620", "GSM1076621", "GSM1076622", "GSM1076623", "GSM1076624", "GSM1076625", "GSM1076626", "GSM1076627", "GSM1076628", "GSM1076629", "GSM1076630", "GSM1076631", "GSM1076632", "GSM1076633", "GSM1076634", "GSM1076635", "GSM1076636", "GSM1076637", "GSM1076638", "GSM1076639", "GSM1076640"], "sample_count": 300, "group_sizes": null, "group_sizes_basis": null, "platform": "14951", "taxon": "Homo sapiens", "title": "Genetic profiling to predict recurrence of early cervical cancer", "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:GSE44001 not downloaded", "asset:data:geo:GSE44001 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients)."}}, {"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": "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": 0.7, "band": "medium", "quote": "Cox regression"}}, {"id": "method-4", "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": 0.7, "band": "medium", "quote": "limma"}}, {"id": "method-5", "family": "model_calibration", "specific": "decision_curve", "label": "Model calibration / clinical utility", "dsl_operations": ["calibration_bins", "net_benefit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictions_and_outcomes"], "evidence": {"score": 0.8, "band": "high", "quote": "decision curve analysis"}}, {"id": "method-6", "family": "contingency_analysis", "specific": "chi_square", "label": "Categorical (contingency table) analysis", "dsl_operations": ["chi_square_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["categorical_cross_tabulation"], "evidence": {"score": 0.8, "band": "high", "quote": "Chi-square"}}], "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": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "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": ["GSE44001"], "resolved_accessions": ["GSE44001"], "statements": ["The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors."], "basis": "The paper names GSE44001 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": ["survival_km"], "assets": ["source:pmid:34630524", "data:geo:GSE44001"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE44001"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:03:32Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 15791, "completion_tokens": 1052, "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:34630524", "type": "paper", "label": "pmid:34630524"}, {"id": "source:pmid:34630524", "type": "manuscript", "label": "PMID 34630524 full text"}, {"id": "data:geo:GSE44001", "type": "dataset", "label": "GEO GSE44001"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:34630524", "type": "paper", "label": "pmid:34630524"}, {"id": "source:pmid:34630524", "type": "manuscript", "label": "PMID 34630524 full text"}, {"id": "data:geo:GSE44001", "type": "dataset", "label": "GEO GSE44001"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-34630524", "type": "extraction", "used": ["source:pmid:34630524"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE44001", "type": "accession_resolution", "used": ["data:geo:GSE44001"], "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:34630524", "parent_hash": "sha256:e5c37c55b5c56bd146640a5f674e9d0df2833477fd6260666f5ed3162f60d643", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:GSE44001 licence not read", "asset:data:geo:GSE44001 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": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["se signature genes were explored by qRT-PCR, immunohistochemistry (IHC) and proliferation, colony formation, m", "e explored by qRT-PCR, immunohistochemistry (IHC) and proliferation, colony formation, migrat"], "order_basis": "paper_text_order:1258", "id": "assay:1"}, {"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": ["l lead to better decisions. Cell Culture and Transfection The human CC cell line SiHa was provided by", "ditional file 1: Supplementary Table S3. The transfection method was described in our previous article", "O2 in a humidified incubator. Human specific siRNA sequences are shown in Additional file 1: Su"], "order_basis": "paper_text_order:3552", "id": "assay:2"}, {"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 Cell Resource Center, IBMS, CAMS/PUMC. The cell lines were cultured in DMEM medium supplemented with 10% fetal b", "Center, IBMS, CAMS/PUMC. The cell lines were cultured in DMEM medium supplemented with 10% fetal bovi"], "order_basis": "paper_text_order:3656", "id": "assay:3"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients)."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}