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

pmid:41097329

Exometabolome and Molecular Signatures Associated with HPV 16 in Cervical Cancer: Integrative Metabolomic and Transcriptomic Analysis for Biomarker Discovery.

Adán Arizmendi-Izazaga · Napoleón Navarro-Tito · Gabriela Elizabeth Campos-Viguri · Hilda Jiménez-Wences · Macdiel Emilio Acevedo-Quiroz · Eric Genaro Salmerón-Bárcenas · Berenice Illades-Aguiar · Marco Antonio Leyva-Vázquez · Julio Ortiz-Ortiz

Molecules (Basel, Switzerland) · 2025 doi:10.3390/molecules30193909

Paper

complete

Experiment

partial

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
id
pmid:41097329
kind
science-record
content_hash
sha256:95756751cacf52f3e9104af20aa956a86e8a47bee78c0668fa27985f7452c088
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:31:09Z
updated_at
2026-11-01T22:57:19Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Exometabolome and Molecular Signatures Associated with HPV 16 in Cervical Cancer: Integrative Metabolomic and Transcriptomic Analysis for Biomarker Discovery.
doi
10.3390/molecules30193909
pmid
41097329
authors array · 9 items
[0]
Adán Arizmendi-Izazaga
[1]
Napoleón Navarro-Tito
[2]
Gabriela Elizabeth Campos-Viguri
[3]
Hilda Jiménez-Wences
[4]
Macdiel Emilio Acevedo-Quiroz
[5]
Eric Genaro Salmerón-Bárcenas
[6]
Berenice Illades-Aguiar
[7]
Marco Antonio Leyva-Vázquez
[8]
Julio Ortiz-Ortiz
journal
Molecules (Basel, Switzerland)
year
2025
abstract
Cervical cancer (CC) represents a major public health concern, ranking as the fourth most frequently diagnosed cancer and one of the leading causes of cancer-related mortality among middle-aged women worldwide. CC is caused by persistent infection with high-risk human papillomaviruses (HR-HPVs), with HPV 16 being the cause of more than 50% of CC cases. In this study, the exometabolome of the HPV 16-positive cell lines SiHa and Ca Ski, as well as the HPV 16-negative control cell line C-33 A, was evaluated. The exometabolome was validated through molecular signatures using a transcriptomic approach to identify genes encoding cellular metabolic enzymes. The exometabolome was analyzed using 1H nuclear magnetic resonance spectroscopy (1H-NMR). Exometabolomic profiles were subsequently compared through both multivariate and univariate statistical analyses to identify significant differences between cell lines. Molecular signatures were analyzed from the GSE9750 dataset obtained from the GEO database. Exometabolic profiling of the HPV 16 positive cell lines showed higher concentrations of leucine, isoleucine, valine, lysine, methionine, glutamine, ornithine, choline, glucose, and tryptophan. An expression analysis showed increased expression of enzymes involved in amino acid synthesis, the tricarboxylic acid cycle, glycolysis, the pentose phosphate pathway, galactose metabolism, and HIF-1α. These data suggest metabolites and metabolism-associated genes that can be used as non-invasive, stable diagnostic and prognostic biomarkers, as well as therapeutic targets for CC in the presence of HPV 16.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
PCA was used to examine intrinsic variability within the dataset, to observe clustering or separation trends, and to identify outliers. OPLS-DA was applied to minimize the potential contribution of intergroup variability and to improve the separation between sample groups further.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41097329
locator
sections[12] "4.4. Multivariate Analysis" paragraph 3
quote
PCA was used to examine intrinsic variability within the dataset, to observe clustering or separation trends, and to identify outliers. OPLS-DA was applied to minimize the potential contribution of intergroup variability and to improve the separation between sample groups further.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The links to the expression data were posted in the Section 4.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41097329
locator
sections[23] "Data Availability Statement" paragraph 2
quote
The links to the expression data were posted in the Section 4.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Exometabolic profiling of the HPV 16 positive cell lines showed higher concentrations of leucine, isoleucine, valine, lysine, methionine, glutamine, ornithine, choline, glucose, and tryptophan.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:41097329
locator
sections[0] "Abstract" paragraph 1
quote
Exometabolic profiling of the HPV 16 positive cell lines showed higher concentrations of leucine, isoleucine, valine, lysine, methionine, glutamine, ornithine, choline, glucose, and tryptophan.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
partial
objective
Exometabolic profiling of the HPV 16 positive cell lines showed higher concentrations of leucine, isoleucine, valine, lysine, methionine, glutamine, ornithine, choline, glucose, and tryptophan.
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:41097329
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:GSE9750
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
blocked
blocked_on
method:student_t
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:GSE9750
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 · 1 item
[0]
step:run_analysis blocked on method:student_t
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:41097329
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3390/molecules30193909
sha256
sha256:6cda5c933402d129ad6a5609d556c0d06617c678a885a2dc3161cb0b58fd3d21
bytes
64041
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3390/molecules30193909
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
PMC12525624
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE9750
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=GSE9750
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE9750
version
null
note
The links to the expression data were posted in the Section 4.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The links to the expression data were posted in the Section 4.
access_statement_kind
data_availability_statement
sample_accessions array · 66 items
[0]
GSM246087
[1]
GSM246088
[2]
GSM246089
[3]
GSM246090
[4]
GSM246119
[5]
GSM246120
[6]
GSM246121
[7]
GSM246122
[8]
GSM246123
[9]
GSM246422
[10]
GSM246423
[11]
GSM246484
[12]
GSM246485
[13]
GSM246486
[14]
GSM246487
[15]
GSM246488
[16]
GSM246489
[17]
GSM246490
[18]
GSM246491
[19]
GSM247162
[20]
GSM247163
[21]
GSM247164
[22]
GSM247165
[23]
GSM247166
[24]
GSM247168
[25]
GSM247169
[26]
GSM247171
[27]
GSM247173
[28]
GSM247174
[29]
GSM247175
[30]
GSM247188
[31]
GSM247189
[32]
GSM247190
[33]
GSM247650
[34]
GSM247651
[35]
GSM247652
[36]
GSM247653
[37]
GSM247654
[38]
GSM247655
[39]
GSM247656
[40]
GSM247657
[41]
GSM247658
[42]
GSM247659
[43]
GSM247660
[44]
GSM247661
[45]
GSM247662
[46]
GSM247663
[47]
GSM247856
[48]
GSM247857
[49]
GSM247859
[50]
GSM247860
[51]
GSM247862
[52]
GSM247864
[53]
GSM247865
[54]
GSM247866
[55]
GSM247876
[56]
GSM247877
[57]
GSM247878
[58]
GSM247879
[59]
GSM247881
[60]
GSM247882
[61]
GSM247883
[62]
GSM247884
[63]
GSM247885
[64]
GSM247886
[65]
GSM247887
sample_count
66
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Identification of gene expression profiles in cervical cancer
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:GSE9750 not downloaded
[1]
asset:data:geo:GSE9750 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
family
group_comparison
specific
student_t_test
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
1
band
verbatim
quote
PCA was used to examine intrinsic variability within the dataset, to observe clustering or separation trends, and to identify outliers. OPLS-DA was applied to minimize the potential contribution of intergroup variability and to improve the separation between sample groups further.
[1] object · 10 fields
id
method-2
family
principal_component_analysis
specific
pca
label
Principal component analysis
dsl_operations array · 1 item
[0]
pca_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
wide_numeric_matrix
evidence object · 3 fields
score
0.8
band
high
quote
Principal Component Analysis
targets array · 0 items
gaps array · 2 items
[0]
method.reader_differs_from_extractor
[1]
method.student_t
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
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
false
required_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: student_t_test.
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]
GSE9750
resolved_accessions array · 1 item
[0]
GSE9750
statements array · 1 item
[0]
The links to the expression data were posted in the Section 4.
basis
The paper names GSE9750 in Gene Expression Omnibus (GEO) 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:41097329
[1]
data:geo:GSE9750
steps array · 0 items
must_build object · 5 fields
dsl_operations array · 1 item
[0] object · 3 fields
operation
student_t
priority
null
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE9750
gaps array · 0 items
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
2026-11-01T20:03:12Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
18817
completion_tokens
1751
cached_tokens
264
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:41097329
type
paper
label
pmid:41097329
[1] object · 3 fields
id
source:pmid:41097329
type
manuscript
label
PMID 41097329 full text
[2] object · 3 fields
id
data:geo:GSE9750
type
dataset
label
GEO GSE9750
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:41097329
type
paper
label
pmid:41097329
[1] object · 3 fields
id
source:pmid:41097329
type
manuscript
label
PMID 41097329 full text
[2] object · 3 fields
id
data:geo:GSE9750
type
dataset
label
GEO GSE9750
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-41097329
type
extraction
used array · 1 item
[0]
source:pmid:41097329
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE9750
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE9750
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:41097329
parent_hash
sha256:a0edc0ed6d1fae13ad1ca42f80251f95909de7b8a4b195c08ebe19a06dc78269
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE9750 licence not read
[1]
asset:data:geo:GSE9750 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
method.student_t
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
[8]
step:run_analysis blocked on method:student_t
assays array · 2 items
[0] 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 · 2 items
[0]
metabolomic profiles of the media where the cell lines were cultured. Assignment of metabolites in a typical H-CP
[1]
genome) were acquired from the ATCC and were cultured in DMEM (Dulbecco’s modified Eagle’s medium) su
order_basis
paper_text_order:2585
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
group_comparison
definition_version
f2132e96ae6c7a4e
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
PCA was used to examine intrinsic variability within the dataset, to observe clustering or separation trends, and to identify outliers. OPLS-DA was applied to minimize the potential contribution of intergroup variability and to improve the separation between sample groups further.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41097329", "kind": "science-record", "revision": 4, "content_hash": "sha256:95756751cacf52f3e9104af20aa956a86e8a47bee78c0668fa27985f7452c088", "created_at": "2026-11-01T20:31:09Z", "updated_at": "2026-11-01T22:57:19Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exometabolome and Molecular Signatures Associated with HPV 16 in Cervical Cancer: Integrative Metabolomic and Transcriptomic Analysis for Biomarker Discovery.", "doi": "10.3390/molecules30193909", "pmid": "41097329", "authors": ["Adán Arizmendi-Izazaga", "Napoleón Navarro-Tito", "Gabriela Elizabeth Campos-Viguri", "Hilda Jiménez-Wences", "Macdiel Emilio Acevedo-Quiroz", "Eric Genaro Salmerón-Bárcenas", "Berenice Illades-Aguiar", "Marco Antonio Leyva-Vázquez", "Julio Ortiz-Ortiz"], "journal": "Molecules (Basel, Switzerland)", "year": 2025, "abstract": "Cervical cancer (CC) represents a major public health concern, ranking as the fourth most frequently diagnosed cancer and one of the leading causes of cancer-related mortality among middle-aged women worldwide. CC is caused by persistent infection with high-risk human papillomaviruses (HR-HPVs), with HPV 16 being the cause of more than 50% of CC cases. In this study, the exometabolome of the HPV 16-positive cell lines SiHa and Ca Ski, as well as the HPV 16-negative control cell line C-33 A, was evaluated. The exometabolome was validated through molecular signatures using a transcriptomic approach to identify genes encoding cellular metabolic enzymes. The exometabolome was analyzed using 1H nuclear magnetic resonance spectroscopy (1H-NMR). Exometabolomic profiles were subsequently compared through both multivariate and univariate statistical analyses to identify significant differences between cell lines. Molecular signatures were analyzed from the GSE9750 dataset obtained from the GEO database. Exometabolic profiling of the HPV 16 positive cell lines showed higher concentrations of leucine, isoleucine, valine, lysine, methionine, glutamine, ornithine, choline, glucose, and tryptophan. An expression analysis showed increased expression of enzymes involved in amino acid synthesis, the tricarboxylic acid cycle, glycolysis, the pentose phosphate pathway, galactose metabolism, and HIF-1α. These data suggest metabolites and metabolism-associated genes that can be used as non-invasive, stable diagnostic and prognostic biomarkers, as well as therapeutic targets for CC in the presence of HPV 16.", "claims": [{"id": "claim-method", "statement": "PCA was used to examine intrinsic variability within the dataset, to observe clustering or separation trends, and to identify outliers. OPLS-DA was applied to minimize the potential contribution of intergroup variability and to improve the separation between sample groups further.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41097329", "locator": "sections[12] \"4.4. Multivariate Analysis\" paragraph 3", "quote": "PCA was used to examine intrinsic variability within the dataset, to observe clustering or separation trends, and to identify outliers. OPLS-DA was applied to minimize the potential contribution of intergroup variability and to improve the separation between sample groups further."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The links to the expression data were posted in the Section 4.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41097329", "locator": "sections[23] \"Data Availability Statement\" paragraph 2", "quote": "The links to the expression data were posted in the Section 4."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Exometabolic profiling of the HPV 16 positive cell lines showed higher concentrations of leucine, isoleucine, valine, lysine, methionine, glutamine, ornithine, choline, glucose, and tryptophan.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41097329", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Exometabolic profiling of the HPV 16 positive cell lines showed higher concentrations of leucine, isoleucine, valine, lysine, methionine, glutamine, ornithine, choline, glucose, and tryptophan."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Exometabolic profiling of the HPV 16 positive cell lines showed higher concentrations of leucine, isoleucine, valine, lysine, methionine, glutamine, ornithine, choline, glucose, and tryptophan.", "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:41097329"], "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:GSE9750"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:student_t", "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:GSE9750"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:student_t"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41097329", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/molecules30193909", "sha256": "sha256:6cda5c933402d129ad6a5609d556c0d06617c678a885a2dc3161cb0b58fd3d21", "bytes": 64041, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/molecules30193909", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12525624", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE9750", "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=GSE9750", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE9750", "version": null, "note": "The links to the expression data were posted in the Section 4.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The links to the expression data were posted in the Section 4.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM246087", "GSM246088", "GSM246089", "GSM246090", "GSM246119", "GSM246120", "GSM246121", "GSM246122", "GSM246123", "GSM246422", "GSM246423", "GSM246484", "GSM246485", "GSM246486", "GSM246487", "GSM246488", "GSM246489", "GSM246490", "GSM246491", "GSM247162", "GSM247163", "GSM247164", "GSM247165", "GSM247166", "GSM247168", "GSM247169", "GSM247171", "GSM247173", "GSM247174", "GSM247175", "GSM247188", "GSM247189", "GSM247190", "GSM247650", "GSM247651", "GSM247652", "GSM247653", "GSM247654", "GSM247655", "GSM247656", "GSM247657", "GSM247658", "GSM247659", "GSM247660", "GSM247661", "GSM247662", "GSM247663", "GSM247856", "GSM247857", "GSM247859", "GSM247860", "GSM247862", "GSM247864", "GSM247865", "GSM247866", "GSM247876", "GSM247877", "GSM247878", "GSM247879", "GSM247881", "GSM247882", "GSM247883", "GSM247884", "GSM247885", "GSM247886", "GSM247887"], "sample_count": 66, "group_sizes": null, "group_sizes_basis": null, "platform": "96", "taxon": "Homo sapiens", "title": "Identification of gene expression profiles in cervical cancer ", "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:GSE9750 not downloaded", "asset:data:geo:GSE9750 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "group_comparison", "specific": "student_t_test", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["student_t"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "PCA was used to examine intrinsic variability within the dataset, to observe clustering or separation trends, and to identify outliers. OPLS-DA was applied to minimize the potential contribution of intergroup variability and to improve the separation between sample groups further."}}, {"id": "method-2", "family": "principal_component_analysis", "specific": "pca", "label": "Principal component analysis", "dsl_operations": ["pca_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["wide_numeric_matrix"], "evidence": {"score": 0.8, "band": "high", "quote": "Principal Component Analysis"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor", "method.student_t"]}, "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": false, "required_operations": [], "missing_operations": ["student_t"], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: student_t_test."}, "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": ["GSE9750"], "resolved_accessions": ["GSE9750"], "statements": ["The links to the expression data were posted in the Section 4."], "basis": "The paper names GSE9750 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": [], "assets": ["source:pmid:41097329", "data:geo:GSE9750"], "steps": []}, "must_build": {"dsl_operations": [{"operation": "student_t", "unlocks_papers": null, "priority": null}], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE9750"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T20:03:12Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 18817, "completion_tokens": 1751, "cached_tokens": 264}}, "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:41097329", "type": "paper", "label": "pmid:41097329"}, {"id": "source:pmid:41097329", "type": "manuscript", "label": "PMID 41097329 full text"}, {"id": "data:geo:GSE9750", "type": "dataset", "label": "GEO GSE9750"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:41097329", "type": "paper", "label": "pmid:41097329"}, {"id": "source:pmid:41097329", "type": "manuscript", "label": "PMID 41097329 full text"}, {"id": "data:geo:GSE9750", "type": "dataset", "label": "GEO GSE9750"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-41097329", "type": "extraction", "used": ["source:pmid:41097329"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE9750", "type": "accession_resolution", "used": ["data:geo:GSE9750"], "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:41097329", "parent_hash": "sha256:a0edc0ed6d1fae13ad1ca42f80251f95909de7b8a4b195c08ebe19a06dc78269", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE9750 licence not read", "asset:data:geo:GSE9750 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "method.student_t", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:run_analysis blocked on method:student_t"], "assays": [{"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": ["metabolomic profiles of the media where the cell lines were cultured. Assignment of metabolites in a typical H-CP", "genome) were acquired from the ATCC and were cultured in DMEM (Dulbecco’s modified Eagle’s medium) su"], "order_basis": "paper_text_order:2585", "id": "assay:1"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["PCA was used to examine intrinsic variability within the dataset, to observe clustering or separation trends, and to identify outliers. OPLS-DA was applied to minimize the potential contribution of intergroup variability and to improve the separation between sample groups further."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}