Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:33763482

Upregulation of CDC7 Associated with Cervical Cancer Incidence and Development.

Qingwei Wang · Weiping Zheng

BioMed research international · 2021 doi:10.1155/2021/6663367

Paper

complete

Experiment

complete

Data

partial

Analysis

absent

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
id
pmid:33763482
kind
science-record
content_hash
sha256:75271370448f13264c1045626f42a9c6f41a4656fa1beabd00994525859f86a2
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:30Z
updated_at
2026-11-01T18:54:55Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Upregulation of CDC7 Associated with Cervical Cancer Incidence and Development.
doi
10.1155/2021/6663367
pmid
33763482
authors array · 2 items
[0]
Qingwei Wang
[1]
Weiping Zheng
journal
BioMed research international
year
2021
abstract
BACKGROUND: Cervical cancer is a common malignant tumor of women. Using integrated bioinformatics, this study identified key disease-causing genes in cervical cancer that may provide effective biomarkers or therapeutic targets for early diagnosis and treatment. RESULTS: We used high-throughput sequencing data from the Gene Expression Omnibus (GEO) to identify new cervical cancer biomarkers. The GSE63678 dataset was downloaded. The data was analyzed via bioinformatics methods, and 61 differentially expressed genes were obtained. These differential genes were analyzed by the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments analyses. GO analysis demonstrated that the basic biological functions of differential genes were mostly regulating cell division, mitotic nuclear division, and immune response. Analysis of the KEGG pathway showed the primary involved in the cell cycle, p53 signaling pathway, and cytokine-cytokine receptor interactions. Using TCGA database to query differential expression of differential genes in cervical cancer, the CDC7 gene was found to be highly expressed. In silico analysis of protein interactions using the STRING database revealed that CDC7 interacts with many proteins. These findings were then validated in vitro with immunohistochemistry and qRt-PCR to confirm that CDC7 is highly expressed in cervical cancer tissues. Cell function tests demonstrated that inhibition of CDC7 expression could inhibit the proliferation and migration of cervical cancer HeLa and SiHa cells and promote apoptosis. CONCLUSION: With comprehensive bioinformatics combined with clinical and cellular function analysis, CDC7 is important to the development of cervical cancer. Targeting of this biomarker may improve the early diagnosis and treatment of cervical cancer.
claims array · 1 item
[0] object · 6 fields
id
claim-data-access
statement
Readers can also make data available on request through the authors (wqw0116@126.com).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:33763482
locator
sections[30] "Data Availability" paragraph 2
quote
Readers can also make data available on request through the authors (wqw0116@126.com).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
null
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:33763482
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE63678
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE63678
outputs array · 1 item
[0]
the replicated result and its comparison
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
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:33763482
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1155/2021/6663367
sha256
sha256:0ee14d0c2518bcaacc6e53887b5f16eaadfd1cc57c97b5e5715123c78be12ffc
bytes
29246
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1155/2021/6663367
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC7952153
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE63678
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=GSE63678
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE63678
version
null
note
Readers can also make data available on request through the authors (wqw0116@126.com).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Readers can also make data available on request through the authors (wqw0116@126.com).
access_statement_kind
data_availability_statement
sample_accessions array · 35 items
[0]
GSM1555075
[1]
GSM1555076
[2]
GSM1555077
[3]
GSM1555078
[4]
GSM1555079
[5]
GSM1555080
[6]
GSM1555081
[7]
GSM1555082
[8]
GSM1555083
[9]
GSM1555084
[10]
GSM1555085
[11]
GSM1555086
[12]
GSM1555087
[13]
GSM1555088
[14]
GSM1555089
[15]
GSM1555090
[16]
GSM1555091
[17]
GSM1555092
[18]
GSM1555093
[19]
GSM1555094
[20]
GSM1555095
[21]
GSM1555096
[22]
GSM1555097
[23]
GSM1555098
[24]
GSM1555099
[25]
GSM1555100
[26]
GSM1555101
[27]
GSM1555102
[28]
GSM1555103
[29]
GSM1555104
[30]
GSM1555105
[31]
GSM1555106
[32]
GSM1555107
[33]
GSM1555108
[34]
GSM1555109
sample_count
35
group_sizes
null
group_sizes_basis
null
platform
571
taxon
Homo sapiens
title
Expression data from Vulvar, Cervical, Endometrial Carcinoma tissue
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:GSE63678 not downloaded
[1]
asset:data:geo:GSE63678 licence not read
analysis object · 4 fields
state
absent
methods array · 0 items
targets array · 0 items
gaps array · 2 items
[0]
method
[1]
operations
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
blocked
tier
R4
blocking_axis
method
blocked_on
method:not_determinable
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (not named), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
capability object · 4 fields
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 object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
GSE63678
resolved_accessions array · 1 item
[0]
GSE63678
statements array · 1 item
[0]
Readers can also make data available on request through the authors (wqw0116@126.com).
basis
The paper names GSE63678 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 2 items
[0]
source:pmid:33763482
[1]
data:geo:GSE63678
steps array · 1 item
[0]
run_analysis
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
[0]
data:geo:GSE63678
gaps array · 1 item
[0]
method:not_determinable
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T19:29:14Z
independence
single_reader
evidence_check object · 2 fields
method
null
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
24970
completion_tokens
1650
cached_tokens
8456
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:33763482
type
paper
label
pmid:33763482
[1] object · 3 fields
id
source:pmid:33763482
type
manuscript
label
PMID 33763482 full text
[2] object · 3 fields
id
data:geo:GSE63678
type
dataset
label
GEO GSE63678
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:33763482
type
paper
label
pmid:33763482
[1] object · 3 fields
id
source:pmid:33763482
type
manuscript
label
PMID 33763482 full text
[2] object · 3 fields
id
data:geo:GSE63678
type
dataset
label
GEO GSE63678
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33763482
type
extraction
used array · 1 item
[0]
source:pmid:33763482
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE63678
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE63678
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
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 object · 4 fields
parent_id
pmid:33763482
parent_hash
sha256:73ef6eb985a237053183683691d185a0dfb5dd038cc28a4ab62c1e4bc7fa2cf3
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE63678 licence not read
[1]
asset:data:geo:GSE63678 not downloaded
[2]
execution.not_run
[3]
method
[4]
operations
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 4 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
e findings were then validated in vitro with immunohistochemistry and qRt-PCR to confirm that CDC7 is highly e
[1]
2019, to January 1, 2020) were analyzed with immunohistochemistry. The samples contained 15 normal cervix and
order_basis
paper_text_order:1337
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 3 items
[0]
oliferation and migration of cervical cancer HeLa and SiHa cells and promote apoptosis. CONCLU
[1]
se Academy of Sciences (Shanghai). They were cultured in 10% fetal bovine serum (FBS, Gibco, MD, USA)
[2]
Transfection The cervical cancer cell lines, HeLa and SiHa, were purchased from the cell bank
order_basis
paper_text_order:1572
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
apoptosis_assay
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.69
evidence array · 1 item
[0]
vical cancer HeLa and SiHa cells and promote apoptosis. CONCLUSION: With comprehensive bioinformati
order_basis
paper_text_order:1604
id
assay:3
[3] object · 11 fields
role
data_generation
definition_id
transfection
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
ormed before sampling. 2.8. Cell Culture and Transfection The cervical cancer cell lines, HeLa and SiH
[1]
2000 (Invitrogen, CA, Carlsbad) was used for transfection according to established protocols. 2.12. St
order_basis
paper_text_order:2350
id
assay:4
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33763482", "kind": "science-record", "revision": 5, "content_hash": "sha256:75271370448f13264c1045626f42a9c6f41a4656fa1beabd00994525859f86a2", "created_at": "2026-11-01T15:41:30Z", "updated_at": "2026-11-01T18:54:55Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Upregulation of CDC7 Associated with Cervical Cancer Incidence and Development.", "doi": "10.1155/2021/6663367", "pmid": "33763482", "authors": ["Qingwei Wang", "Weiping Zheng"], "journal": "BioMed research international", "year": 2021, "abstract": "BACKGROUND: Cervical cancer is a common malignant tumor of women. Using integrated bioinformatics, this study identified key disease-causing genes in cervical cancer that may provide effective biomarkers or therapeutic targets for early diagnosis and treatment.\nRESULTS: We used high-throughput sequencing data from the Gene Expression Omnibus (GEO) to identify new cervical cancer biomarkers. The GSE63678 dataset was downloaded. The data was analyzed via bioinformatics methods, and 61 differentially expressed genes were obtained. These differential genes were analyzed by the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments analyses. GO analysis demonstrated that the basic biological functions of differential genes were mostly regulating cell division, mitotic nuclear division, and immune response. Analysis of the KEGG pathway showed the primary involved in the cell cycle, p53 signaling pathway, and cytokine-cytokine receptor interactions. Using TCGA database to query differential expression of differential genes in cervical cancer, the CDC7 gene was found to be highly expressed. In silico analysis of protein interactions using the STRING database revealed that CDC7 interacts with many proteins. These findings were then validated in vitro with immunohistochemistry and qRt-PCR to confirm that CDC7 is highly expressed in cervical cancer tissues. Cell function tests demonstrated that inhibition of CDC7 expression could inhibit the proliferation and migration of cervical cancer HeLa and SiHa cells and promote apoptosis.\nCONCLUSION: With comprehensive bioinformatics combined with clinical and cellular function analysis, CDC7 is important to the development of cervical cancer. Targeting of this biomarker may improve the early diagnosis and treatment of cervical cancer.", "claims": [{"id": "claim-data-access", "statement": "Readers can also make data available on request through the authors (wqw0116@126.com).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33763482", "locator": "sections[30] \"Data Availability\" paragraph 2", "quote": "Readers can also make data available on request through the authors (wqw0116@126.com)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:33763482"], "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:GSE63678"], "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:GSE63678"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33763482", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2021/6663367", "sha256": "sha256:0ee14d0c2518bcaacc6e53887b5f16eaadfd1cc57c97b5e5715123c78be12ffc", "bytes": 29246, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2021/6663367", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7952153", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE63678", "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=GSE63678", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE63678", "version": null, "note": "Readers can also make data available on request through the authors (wqw0116@126.com).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Readers can also make data available on request through the authors (wqw0116@126.com).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1555075", "GSM1555076", "GSM1555077", "GSM1555078", "GSM1555079", "GSM1555080", "GSM1555081", "GSM1555082", "GSM1555083", "GSM1555084", "GSM1555085", "GSM1555086", "GSM1555087", "GSM1555088", "GSM1555089", "GSM1555090", "GSM1555091", "GSM1555092", "GSM1555093", "GSM1555094", "GSM1555095", "GSM1555096", "GSM1555097", "GSM1555098", "GSM1555099", "GSM1555100", "GSM1555101", "GSM1555102", "GSM1555103", "GSM1555104", "GSM1555105", "GSM1555106", "GSM1555107", "GSM1555108", "GSM1555109"], "sample_count": 35, "group_sizes": null, "group_sizes_basis": null, "platform": "571", "taxon": "Homo sapiens", "title": "Expression data from Vulvar, Cervical, Endometrial Carcinoma tissue", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE63678 not downloaded", "asset:data:geo:GSE63678 licence not read"]}, "analysis": {"state": "absent", "methods": [], "targets": [], "gaps": ["method", "operations"]}, "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": "blocked", "tier": "R4", "blocking_axis": "method", "blocked_on": "method:not_determinable", "axes": {"method": {"tier": "R4", "expressible": false, "required_operations": [], "missing_operations": [], "basis": "The reader quoted the method the paper names (not named), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible."}, "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": ["GSE63678"], "resolved_accessions": ["GSE63678"], "statements": ["Readers can also make data available on request through the authors (wqw0116@126.com)."], "basis": "The paper names GSE63678 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": [], "assets": ["source:pmid:33763482", "data:geo:GSE63678"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE63678"]}, "gaps": ["method:not_determinable"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T19:29:14Z", "independence": "single_reader"}, "evidence_check": {"method": null, "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 24970, "completion_tokens": 1650, "cached_tokens": 8456}}, "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:33763482", "type": "paper", "label": "pmid:33763482"}, {"id": "source:pmid:33763482", "type": "manuscript", "label": "PMID 33763482 full text"}, {"id": "data:geo:GSE63678", "type": "dataset", "label": "GEO GSE63678"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:33763482", "type": "paper", "label": "pmid:33763482"}, {"id": "source:pmid:33763482", "type": "manuscript", "label": "PMID 33763482 full text"}, {"id": "data:geo:GSE63678", "type": "dataset", "label": "GEO GSE63678"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-33763482", "type": "extraction", "used": ["source:pmid:33763482"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE63678", "type": "accession_resolution", "used": ["data:geo:GSE63678"], "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:33763482", "parent_hash": "sha256:73ef6eb985a237053183683691d185a0dfb5dd038cc28a4ab62c1e4bc7fa2cf3", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:GSE63678 licence not read", "asset:data:geo:GSE63678 not downloaded", "execution.not_run", "method", "operations", "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": ["e findings were then validated in vitro with immunohistochemistry and qRt-PCR to confirm that CDC7 is highly e", "2019, to January 1, 2020) were analyzed with immunohistochemistry. The samples contained 15 normal cervix and"], "order_basis": "paper_text_order:1337", "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": ["oliferation and migration of cervical cancer HeLa and SiHa cells and promote apoptosis. CONCLU", "se Academy of Sciences (Shanghai). They were cultured in 10% fetal bovine serum (FBS, Gibco, MD, USA)", "Transfection The cervical cancer cell lines, HeLa and SiHa, were purchased from the cell bank"], "order_basis": "paper_text_order:1572", "id": "assay:2"}, {"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": ["vical cancer HeLa and SiHa cells and promote apoptosis. CONCLUSION: With comprehensive bioinformati"], "order_basis": "paper_text_order:1604", "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": ["ormed before sampling. 2.8. Cell Culture and Transfection The cervical cancer cell lines, HeLa and SiH", "2000 (Invitrogen, CA, Carlsbad) was used for transfection according to established protocols. 2.12. St"], "order_basis": "paper_text_order:2350", "id": "assay:4"}]}