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

pmid:36051101

Differences of core genes in liver fibrosis and hepatocellular carcinoma: Evidence from integrated bioinformatics and immunohistochemical analysis.

Yue Li · Shou-Li Yuan · Jing-Ya Yin · Kun Yang · Xin-Gang Zhou · Wen Xie · Qi Wang

World journal of gastrointestinal oncology · 2022 doi:10.4251/wjgo.v14.i7.1265

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:36051101
kind
science-record
content_hash
sha256:acfe8e416d280540778a1d3cb357008b2cc12657ab68064b1f3a8a5a61328d20
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T18:15:13Z
updated_at
2026-11-01T22:49:56Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Differences of core genes in liver fibrosis and hepatocellular carcinoma: Evidence from integrated bioinformatics and immunohistochemical analysis.
doi
10.4251/wjgo.v14.i7.1265
pmid
36051101
authors array · 7 items
[0]
Yue Li
[1]
Shou-Li Yuan
[2]
Jing-Ya Yin
[3]
Kun Yang
[4]
Xin-Gang Zhou
[5]
Wen Xie
[6]
Qi Wang
journal
World journal of gastrointestinal oncology
year
2022
abstract
BACKGROUND: Liver fibrosis and hepatocellular carcinoma (HCC) are common adverse consequences of chronic liver injury. The interaction of various risk factors may cause them to happen. Identification of specific biomarkers is of great significance for understanding the occurrence, development mechanisms, and determining the novel tools for diagnosis and treatment of both liver fibrosis and HCC. AIM: To identify liver fibrosis-related core genes, we analyzed the differential expression pattern of core genes in liver fibrosis and HCC. METHODS: Gene expression profiles of three datasets, GSE14323, GSE36411, and GSE89377, obtained from the Gene Expression Omnibus (GEO) database, were analyzed, and differentially expressed genes (DEGs) between patients with liver cirrhosis and healthy controls were identified by screening via R software packages and online tool for Venn diagrams. The WebGestalt online tool was used to identify DEGs enriched in biological processes, molecular functions, cellular components, and Kyoto Encyclopedia of Genes and Genomes pathways. The protein-protein interactions of DEGs were visualized using Cytoscape with STRING. Next, the expression pattern of core genes was analyzed using Western blot and immunohistochemistry in a carbon tetrachloride (CCl4)-induced liver cirrhosis mouse model and in patient liver samples. Finally, Kaplan-Meier curves were constructed using the Kaplan-Meier plotter online server. RESULTS: Forty-five DEGs (43 upregulated and 2 downregulated genes) associated with liver cirrhosis were identified from three GEO datasets. Ten hub genes were identified, which were upregulated in liver cirrhosis. Western blot and immunohistochemical analyses of the three core genes, decorin (DCN), dermatopontin (DPT), and SRY-box transcription factor 9 (SOX9), revealed that they were highly expressed in the CCl4-induced liver cirrhosis mouse model. The expression levels of DCN and SOX 9 were positively correlated with the degree of fibrosis, and SOX 9 level in HCC patients was significantly higher than that in fibrosis patients. However, high expression of DPT was observed only in patients with liver fibrosis, and its expression in HCC was low. The gene expression profiling interactive analysis server (GEPIA) showed that SOX9 was significantly upregulated whereas DCN and DPT were significantly downregulated in patients with HCC. In addition, the Kaplan-Meier curves showed that HCC patients with higher SOX9 expression had significantly lower 5-year survival rate, while patients with higher expression of DCN or DPT had significantly higher 5-year survival rates. CONCLUSION: The expression levels of DCN, DPT, and SOX9 were positively correlated with the degree of liver fibrosis but showed different correlations with the 5-year survival rates of HCC patients.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
DEGs between the cirrhosis and healthy liver tissue groups were identified using limma package by limiting the value of adjustment: P-value (adjust. P < 0.05) and the absolute value of logFC (|logFC| > 1.2 or 0.6).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36051101
locator
sections[9] "Microarray and gene expression analysis" paragraph 2
quote
DEGs between the cirrhosis and healthy liver tissue groups were identified using limma package by limiting the value of adjustment: P-value (adjust. P < 0.05) and the absolute value of logFC (|logFC| > 1.2 or 0.6).
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Publicly available datasets were analyzed in this study, which can be found here: GSE14323, GSE36411 and GSE89377. Technical appendix, statistical code, and data set available from the corresponding author at wangqidl04@ccmu.edu.cn. No additional data are available.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36051101
locator
sections[32] "Data sharing statement" paragraph 2
quote
Publicly available datasets were analyzed in this study, which can be found here: GSE14323, GSE36411 and GSE89377. Technical appendix, statistical code, and data set available from the corresponding author at wangqidl04@ccmu.edu.cn. No additional data are available.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Using three GEO datasets, the study identified 45 DEGs associated with cirrhosis and 10 hub genes, with DCN, DPT, and SOX9 further validated as fibrosis-related genes.
kind
qualitative
target
null
evidence array · 2 items
[0] object · 3 fields
asset
source:pmid:36051101
locator
sections[15] "Identification of DEGs" paragraph 2
quote
Using Venn diagram online tool, we identified 45 DEGs (43 upregulated genes and 2 downregulated genes) associated with cirrhosis from the three datasets (Figure 1D, Table 1).
[1] object · 3 fields
asset
source:pmid:36051101
locator
sections[17] "PPI network construction and identification of hub genes" paragraph 2
quote
The top 10 hub genes were identified using the CytoHubba plugin of Cytoscape, which included C-X-C motif chemokine ligand 9 (CXCL9), CXCL10, C-X-C motif chemokine receptor 4 (CXCR4), DCN, DPT, laminin subunit alpha 2 (LAMA2), lumican (LUM), microfibril associated protein 4 (MFAP4), platelet-derived growth factor receptor alpha (PDGFRA), and SOX9 (Figure 1F).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
partial
objective
Using three GEO datasets, the study identified 45 DEGs associated with cirrhosis and 10 hub genes, with DCN, DPT, and SOX9 further validated as fibrosis-related genes.
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:36051101
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
blocked
blocked_on
data:accession_absent
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 · 0 items
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 · 0 items
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:obtain_source_data blocked on data:accession_absent
data object · 3 fields
state
partial
assets array · 1 item
[0] object · 15 fields
id
source:pmid:36051101
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.4251/wjgo.v14.i7.1265
sha256
sha256:c32984ba385509302db3f78506886c01d3094433c394e67f0ec8c97f91e0b0af
bytes
36894
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.4251/wjgo.v14.i7.1265
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
PMC9305567
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
gaps array · 0 items
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
DEGs between the cirrhosis and healthy liver tissue groups were identified using limma package by limiting the value of adjustment: P-value (adjust. P < 0.05) and the absolute value of logFC (|logFC| > 1.2 or 0.6).
[1] object · 10 fields
id
method-2
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
ANOVA
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Kaplan-Meier
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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
blocked_on
data:accession_absent
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
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
R4
reachable
false
accessions array · 0 items
resolved_accessions array · 0 items
statements array · 1 item
[0]
Publicly available datasets were analyzed in this study, which can be found here: GSE14323, GSE36411 and GSE89377. Technical appendix, statistical code, and data set available from the corresponding author at wangqidl04@ccmu.edu.cn. No additional data are available.
basis
The paper names no accession to its source data, so the data has to come from the authors.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 1 item
[0]
source:pmid:36051101
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:None
gaps array · 1 item
[0]
data:accession_absent
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
2026-11-01T18:03:05Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
10554
completion_tokens
1999
cached_tokens
256
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:36051101
type
paper
label
pmid:36051101
[1] object · 3 fields
id
source:pmid:36051101
type
manuscript
label
PMID 36051101 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
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:36051101
type
paper
label
pmid:36051101
[1] object · 3 fields
id
source:pmid:36051101
type
manuscript
label
PMID 36051101 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36051101
type
extraction
used array · 1 item
[0]
source:pmid:36051101
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-None
type
accession_resolution
used array · 1 item
[0]
data:geo:None
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:36051101
parent_hash
sha256:c39c3b1c0e31025d0ed43a75c3bf843875f398bdf6c390327adde8f7c09dbf22
fork_of
null
gaps array · 6 items
[0]
execution.not_run
[1]
method.reader_differs_from_extractor
[2]
review.human_critique
[3]
review.independent_reader
[4]
review.machine_critique
[5]
step:obtain_source_data blocked on data:accession_absent
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 · 4 items
[0]
Evidence from integrated bioinformatics and immunohistochemical analysis.
[1]
re genes was analyzed using Western blot and immunohistochemistry in a carbon tetrachloride (CCl4)-induced liv
[2]
gulated in liver cirrhosis. Western blot and immunohistochemical analyses of the three core genes, decorin (D
[3]
ular carcinoma (HCC) groups were analyzed by immunohistochemistry. The H&E staining and Masson’s trichrome sta
order_basis
paper_text_order:74
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
western_blot
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]
ion pattern of core genes was analyzed using Western blot and immunohistochemistry in a carbon tetrach
[1]
, which were upregulated in liver cirrhosis. Western blot and immunohistochemical analyses of the thre
[2]
ses, quantitative polymerase chain reaction, Western blot, and immunohistochemistry of liver tissues f
order_basis
paper_text_order:1322
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
animal_model
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
tetrachloride (CCl4)-induced liver cirrhosis mouse model and in patient liver samples. Finally, Kapla
[1]
xpressed in the CCl4-induced liver cirrhosis mouse model. The expression levels of DCN and SOX 9 were
[2]
tetrachloride (CCl4)-induced liver cirrhosis mouse model and in patient liver samples. Finally,
[3]
xpressed in the CCl4-induced liver cirrhosis mouse model. The expression levels of DCN and SOX
order_basis
paper_text_order:1417
id
assay:3
[3] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
DEGs between the cirrhosis and healthy liver tissue groups were identified using limma package by limiting the value of adjustment: P-value (adjust. P < 0.05) and the absolute value of logFC (|logFC| > 1.2 or 0.6).
order_basis
consumes_earlier_output
id
assay:4
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36051101", "kind": "science-record", "revision": 5, "content_hash": "sha256:acfe8e416d280540778a1d3cb357008b2cc12657ab68064b1f3a8a5a61328d20", "created_at": "2026-11-01T18:15:13Z", "updated_at": "2026-11-01T22:49:56Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Differences of core genes in liver fibrosis and hepatocellular carcinoma: Evidence from integrated bioinformatics and immunohistochemical analysis.", "doi": "10.4251/wjgo.v14.i7.1265", "pmid": "36051101", "authors": ["Yue Li", "Shou-Li Yuan", "Jing-Ya Yin", "Kun Yang", "Xin-Gang Zhou", "Wen Xie", "Qi Wang"], "journal": "World journal of gastrointestinal oncology", "year": 2022, "abstract": "BACKGROUND: Liver fibrosis and hepatocellular carcinoma (HCC) are common adverse consequences of chronic liver injury. The interaction of various risk factors may cause them to happen. Identification of specific biomarkers is of great significance for understanding the occurrence, development mechanisms, and determining the novel tools for diagnosis and treatment of both liver fibrosis and HCC.\nAIM: To identify liver fibrosis-related core genes, we analyzed the differential expression pattern of core genes in liver fibrosis and HCC.\nMETHODS: Gene expression profiles of three datasets, GSE14323, GSE36411, and GSE89377, obtained from the Gene Expression Omnibus (GEO) database, were analyzed, and differentially expressed genes (DEGs) between patients with liver cirrhosis and healthy controls were identified by screening via R software packages and online tool for Venn diagrams. The WebGestalt online tool was used to identify DEGs enriched in biological processes, molecular functions, cellular components, and Kyoto Encyclopedia of Genes and Genomes pathways. The protein-protein interactions of DEGs were visualized using Cytoscape with STRING. Next, the expression pattern of core genes was analyzed using Western blot and immunohistochemistry in a carbon tetrachloride (CCl4)-induced liver cirrhosis mouse model and in patient liver samples. Finally, Kaplan-Meier curves were constructed using the Kaplan-Meier plotter online server.\nRESULTS: Forty-five DEGs (43 upregulated and 2 downregulated genes) associated with liver cirrhosis were identified from three GEO datasets. Ten hub genes were identified, which were upregulated in liver cirrhosis. Western blot and immunohistochemical analyses of the three core genes, decorin (DCN), dermatopontin (DPT), and SRY-box transcription factor 9 (SOX9), revealed that they were highly expressed in the CCl4-induced liver cirrhosis mouse model. The expression levels of DCN and SOX 9 were positively correlated with the degree of fibrosis, and SOX 9 level in HCC patients was significantly higher than that in fibrosis patients. However, high expression of DPT was observed only in patients with liver fibrosis, and its expression in HCC was low. The gene expression profiling interactive analysis server (GEPIA) showed that SOX9 was significantly upregulated whereas DCN and DPT were significantly downregulated in patients with HCC. In addition, the Kaplan-Meier curves showed that HCC patients with higher SOX9 expression had significantly lower 5-year survival rate, while patients with higher expression of DCN or DPT had significantly higher 5-year survival rates.\nCONCLUSION: The expression levels of DCN, DPT, and SOX9 were positively correlated with the degree of liver fibrosis but showed different correlations with the 5-year survival rates of HCC patients.", "claims": [{"id": "claim-method", "statement": "DEGs between the cirrhosis and healthy liver tissue groups were identified using limma package by limiting the value of adjustment: P-value (adjust. P < 0.05) and the absolute value of logFC (|logFC| > 1.2 or 0.6).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36051101", "locator": "sections[9] \"Microarray and gene expression analysis\" paragraph 2", "quote": "DEGs between the cirrhosis and healthy liver tissue groups were identified using limma package by limiting the value of adjustment: P-value (adjust. P < 0.05) and the absolute value of logFC (|logFC| > 1.2 or 0.6)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study, which can be found here: GSE14323, GSE36411 and GSE89377. Technical appendix, statistical code, and data set available from the corresponding author at wangqidl04@ccmu.edu.cn. No additional data are available.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36051101", "locator": "sections[32] \"Data sharing statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study, which can be found here: GSE14323, GSE36411 and GSE89377. Technical appendix, statistical code, and data set available from the corresponding author at wangqidl04@ccmu.edu.cn. No additional data are available."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using three GEO datasets, the study identified 45 DEGs associated with cirrhosis and 10 hub genes, with DCN, DPT, and SOX9 further validated as fibrosis-related genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36051101", "locator": "sections[15] \"Identification of DEGs\" paragraph 2", "quote": "Using Venn diagram online tool, we identified 45 DEGs (43 upregulated genes and 2 downregulated genes) associated with cirrhosis from the three datasets (Figure 1D, Table 1)."}, {"asset": "source:pmid:36051101", "locator": "sections[17] \"PPI network construction and identification of hub genes\" paragraph 2", "quote": "The top 10 hub genes were identified using the CytoHubba plugin of Cytoscape, which included C-X-C motif chemokine ligand 9 (CXCL9), CXCL10, C-X-C motif chemokine receptor 4 (CXCR4), DCN, DPT, laminin subunit alpha 2 (LAMA2), lumican (LUM), microfibril associated protein 4 (MFAP4), platelet-derived growth factor receptor alpha (PDGFRA), and SOX9 (Figure 1F)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Using three GEO datasets, the study identified 45 DEGs associated with cirrhosis and 10 hub genes, with DCN, DPT, and SOX9 further validated as fibrosis-related genes.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:36051101"], "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": "blocked", "blocked_on": "data:accession_absent", "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": [], "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": [], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:accession_absent"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36051101", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.4251/wjgo.v14.i7.1265", "sha256": "sha256:c32984ba385509302db3f78506886c01d3094433c394e67f0ec8c97f91e0b0af", "bytes": 36894, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.4251/wjgo.v14.i7.1265", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9305567", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}], "gaps": []}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "DEGs between the cirrhosis and healthy liver tissue groups were identified using limma package by limiting the value of adjustment: P-value (adjust. P < 0.05) and the absolute value of logFC (|logFC| > 1.2 or 0.6)."}}, {"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": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Kaplan-Meier"}}], "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": "blocked", "tier": "R4", "blocking_axis": "data", "blocked_on": "data:accession_absent", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R4", "reachable": false, "accessions": [], "resolved_accessions": [], "statements": ["Publicly available datasets were analyzed in this study, which can be found here: GSE14323, GSE36411 and GSE89377. Technical appendix, statistical code, and data set available from the corresponding author at wangqidl04@ccmu.edu.cn. No additional data are available."], "basis": "The paper names no accession to its source data, so the data has to come from the authors."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:36051101"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:None"]}, "gaps": ["data:accession_absent"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:03:05Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 10554, "completion_tokens": 1999, "cached_tokens": 256}}, "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:36051101", "type": "paper", "label": "pmid:36051101"}, {"id": "source:pmid:36051101", "type": "manuscript", "label": "PMID 36051101 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36051101", "type": "paper", "label": "pmid:36051101"}, {"id": "source:pmid:36051101", "type": "manuscript", "label": "PMID 36051101 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36051101", "type": "extraction", "used": ["source:pmid:36051101"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-None", "type": "accession_resolution", "used": ["data:geo:None"], "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:36051101", "parent_hash": "sha256:c39c3b1c0e31025d0ed43a75c3bf843875f398bdf6c390327adde8f7c09dbf22", "fork_of": null, "generation": 4}, "gaps": ["execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:obtain_source_data blocked on data:accession_absent"], "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": ["Evidence from integrated bioinformatics and immunohistochemical analysis.", "re genes was analyzed using Western blot and immunohistochemistry in a carbon tetrachloride (CCl4)-induced liv", "gulated in liver cirrhosis. Western blot and immunohistochemical analyses of the three core genes, decorin (D", "ular carcinoma (HCC) groups were analyzed by immunohistochemistry. The H&E staining and Masson’s trichrome sta"], "order_basis": "paper_text_order:74", "id": "assay:1"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ion pattern of core genes was analyzed using Western blot and immunohistochemistry in a carbon tetrach", ", which were upregulated in liver cirrhosis. Western blot and immunohistochemical analyses of the thre", "ses, quantitative polymerase chain reaction, Western blot, and immunohistochemistry of liver tissues f"], "order_basis": "paper_text_order:1322", "id": "assay:2"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["tetrachloride (CCl4)-induced liver cirrhosis mouse model and in patient liver samples. Finally, Kapla", "xpressed in the CCl4-induced liver cirrhosis mouse model. The expression levels of DCN and SOX 9 were", "tetrachloride (CCl4)-induced liver cirrhosis mouse model and in patient liver samples. Finally,", "xpressed in the CCl4-induced liver cirrhosis mouse model. The expression levels of DCN and SOX"], "order_basis": "paper_text_order:1417", "id": "assay:3"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["DEGs between the cirrhosis and healthy liver tissue groups were identified using limma package by limiting the value of adjustment: P-value (adjust. P < 0.05) and the absolute value of logFC (|logFC| > 1.2 or 0.6)."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}