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

pmid:40061887

The Significance of Cellular Senescence Hub Genes in the Diagnosis and Subtype Classification of a Comprehensive Database of Gene Expression in Intervertebral Disc Degeneration.

Fei Liu · Silong Gao · Ji Yin · Chao Song · Yongliang Mei · Zhaoqiang Wang · Zongchao Liu

JOR spine · 2025 doi:10.1002/jsp2.70050

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:40061887
kind
science-record
content_hash
sha256:35c1e28ae6301bbda9159487b7c2b321710c3caaccb8c13c4d808fa81b8a5739
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:30:16Z
updated_at
2026-11-01T22:56:12Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
The Significance of Cellular Senescence Hub Genes in the Diagnosis and Subtype Classification of a Comprehensive Database of Gene Expression in Intervertebral Disc Degeneration.
doi
10.1002/jsp2.70050
pmid
40061887
authors array · 7 items
[0]
Fei Liu
[1]
Silong Gao
[2]
Ji Yin
[3]
Chao Song
[4]
Yongliang Mei
[5]
Zhaoqiang Wang
[6]
Zongchao Liu
journal
JOR spine
year
2025
abstract
Background: Intervertebral disc degeneration (IVDD) is a complex age-related physiological process, with cellular senescence (CS) being a primary contributing factor. However, the precise role of CS and its associated genes in IVDD remains unclear. Methods: In this study, we performed differential expression analysis on the GSE124272 and GSE150408 datasets from the GEO database and identified 53 differentially expressed cellular senescence-related genes (CSRGs). We then conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses to explore their functions and associated pathways. We identified hub genes by constructing a protein-protein interaction (PPI) network and further validated these genes using clinical samples. We further explored the functional and prognostic significance of these genes using support vector machine recursive feature elimination (SVM-RFE), random forest (RF), and least absolute shrinkage and selection operator (LASSO) algorithms. We visualized the correlation between the differential expression levels of the four core genes and immune cell infiltration using heat maps and histograms. Finally, we performed graphene oxide enrichment analysis on 297 differentially expressed genes (DEGs) to investigate their role in IVDD. Results: We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples. Our results revealed that DUSP3 and SP1 were upregulated in IVDD, while MAPKAPK5 and VEGFA were downregulated. Immune cell infiltration analysis demonstrated that DUSP3 and SP1 were positively correlated with immune cell infiltration levels, whereas VEGFA and MAPKAPK5 were negatively correlated. Conclusion: In summary, CSRGs play an important role in the pathogenesis of IVDD, and our study of the hub gene cluster may guide future therapeutic strategies for IVDD.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Finally, we combined the results of the PPI network analysis, LASSO analysis, SVM‐RFE algorithm, and RF algorithm to obtain 4 hub CSRGs significantly associated with IVDD (Figure 2E).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:40061887
locator
sections[15] "Recognition of Hub CSRGs" paragraph 2
quote
Finally, we combined the results of the PPI network analysis, LASSO analysis, SVM‐RFE algorithm, and RF algorithm to obtain 4 hub CSRGs significantly associated with IVDD (Figure 2E).
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:40061887
locator
sections[30] "Data Availability Statement" paragraph 2
quote
The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).
state
complete
[2] object · 6 fields
id
claim-target-result
statement
We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:40061887
locator
sections[0] "Abstract" paragraph 3
quote
We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples.
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:40061887
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:GSE124272
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:GSE124272
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 · 3 items
[0] object · 15 fields
id
source:pmid:40061887
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1002/jsp2.70050
sha256
sha256:09e29c46b8161c38ab2e8a676560321e89bef626478bab0a8233500d6cefb3ca
bytes
47586
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1002/jsp2.70050
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
PMC11885168
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE124272
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=GSE124272
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE124272
version
null
note
The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).
access_statement_kind
data_availability_statement
sample_accessions array · 16 items
[0]
GSM3526782
[1]
GSM3526783
[2]
GSM3526784
[3]
GSM3526785
[4]
GSM3526786
[5]
GSM3526787
[6]
GSM3526788
[7]
GSM3526789
[8]
GSM3526790
[9]
GSM3526791
[10]
GSM3526792
[11]
GSM3526793
[12]
GSM3526794
[13]
GSM3526795
[14]
GSM3526796
[15]
GSM3526797
sample_count
16
group_sizes
null
group_sizes_basis
null
platform
21185
taxon
Homo sapiens
title
Transcriptome signatures reveal candidate key genes in the whole blood of patients with lumbar disc prolapse
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE150408
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=GSE150408
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE150408
version
null
note
The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).
access_statement_kind
data_availability_statement
sample_accessions array · 59 items
[0]
GSM4548691
[1]
GSM4548692
[2]
GSM4548693
[3]
GSM4548694
[4]
GSM4548695
[5]
GSM4548696
[6]
GSM4548697
[7]
GSM4548698
[8]
GSM4548699
[9]
GSM4548700
[10]
GSM4548701
[11]
GSM4548702
[12]
GSM4548703
[13]
GSM4548704
[14]
GSM4548705
[15]
GSM4548706
[16]
GSM4548707
[17]
GSM4548708
[18]
GSM4548709
[19]
GSM4548710
[20]
GSM4548711
[21]
GSM4548712
[22]
GSM4548713
[23]
GSM4548714
[24]
GSM4548715
[25]
GSM4548716
[26]
GSM4548717
[27]
GSM4548718
[28]
GSM4548719
[29]
GSM4548720
[30]
GSM4548721
[31]
GSM4548722
[32]
GSM4548723
[33]
GSM4548724
[34]
GSM4548725
[35]
GSM4548726
[36]
GSM4548727
[37]
GSM4548728
[38]
GSM4548729
[39]
GSM4548730
[40]
GSM4548731
[41]
GSM4548732
[42]
GSM4548733
[43]
GSM4548734
[44]
GSM4548735
[45]
GSM4548736
[46]
GSM4548737
[47]
GSM4548738
[48]
GSM4548739
[49]
GSM4548740
[50]
GSM4548741
[51]
GSM4548742
[52]
GSM4548743
[53]
GSM4548744
[54]
GSM4548745
[55]
GSM4548746
[56]
GSM4548747
[57]
GSM4548748
[58]
GSM4548749
sample_count
59
group_sizes
null
group_sizes_basis
null
platform
21185
taxon
Homo sapiens
title
Identification of key genes potentially related to intervertebral disc degeneration by microarray analysis
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE124272 not downloaded
[1]
asset:data:geo:GSE124272 licence not read
[2]
asset:data:geo:GSE150408 not downloaded
[3]
asset:data:geo:GSE150408 licence not read
analysis object · 4 fields
state
partial
methods array · 6 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
Finally, we combined the results of the PPI network analysis, LASSO analysis, SVM‐RFE algorithm, and RF algorithm to obtain 4 hub CSRGs significantly associated with IVDD (Figure 2E).
[1] object · 10 fields
id
method-2
family
machine_learning
specific
random_forest
label
Machine learning
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
machine_learning_random_forest
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
labelled_feature_matrix
evidence object · 3 fields
score
0.7
band
medium
quote
random forest
[2] object · 10 fields
id
method-3
family
machine_learning
specific
support_vector_machine
label
Machine learning
dsl_operations array · 3 items
[0]
train_classifier
[1]
cross_validate
[2]
roc_auc
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
labelled_feature_matrix
evidence object · 3 fields
score
0.7
band
medium
quote
support vector machine
[3] object · 10 fields
id
method-4
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
[4] object · 10 fields
id
method-5
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
pathway enrichment
[5] object · 10 fields
id
method-6
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC curve
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
complete
tier
R1
blocked_on
nothing:replicable_now
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
R1
reachable
true
accessions array · 2 items
[0]
GSE124272
[1]
GSE150408
resolved_accessions array · 2 items
[0]
GSE124272
[1]
GSE150408
statements array · 1 item
[0]
The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).
basis
The paper names GSE124272, GSE150408 in 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 · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 2 items
[0]
source:pmid:40061887
[1]
data:geo:GSE124272
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:GSE124272
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
2026-11-01T19:47:59Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
13651
completion_tokens
1458
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:40061887
type
paper
label
pmid:40061887
[1] object · 3 fields
id
source:pmid:40061887
type
manuscript
label
PMID 40061887 full text
[2] object · 3 fields
id
data:geo:GSE124272
type
dataset
label
GEO GSE124272
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:40061887
type
paper
label
pmid:40061887
[1] object · 3 fields
id
source:pmid:40061887
type
manuscript
label
PMID 40061887 full text
[2] object · 3 fields
id
data:geo:GSE124272
type
dataset
label
GEO GSE124272
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-40061887
type
extraction
used array · 1 item
[0]
source:pmid:40061887
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE124272
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE124272
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:40061887
parent_hash
sha256:6743394287c10df25c00d953f182cd8087818a507a218a3aeb0fed6d680d0e32
fork_of
null
gaps array · 9 items
[0]
asset:data:geo:GSE124272 licence not read
[1]
asset:data:geo:GSE124272 not downloaded
[2]
asset:data:geo:GSE150408 licence not read
[3]
asset:data:geo:GSE150408 not downloaded
[4]
execution.not_run
[5]
method.reader_differs_from_extractor
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
assays array · 1 item
[0] 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]
Finally, we combined the results of the PPI network analysis, LASSO analysis, SVM‐RFE algorithm, and RF algorithm to obtain 4 hub CSRGs significantly associated with IVDD (Figure 2E).
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40061887", "kind": "science-record", "revision": 4, "content_hash": "sha256:35c1e28ae6301bbda9159487b7c2b321710c3caaccb8c13c4d808fa81b8a5739", "created_at": "2026-11-01T20:30:16Z", "updated_at": "2026-11-01T22:56:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The Significance of Cellular Senescence Hub Genes in the Diagnosis and Subtype Classification of a Comprehensive Database of Gene Expression in Intervertebral Disc Degeneration.", "doi": "10.1002/jsp2.70050", "pmid": "40061887", "authors": ["Fei Liu", "Silong Gao", "Ji Yin", "Chao Song", "Yongliang Mei", "Zhaoqiang Wang", "Zongchao Liu"], "journal": "JOR spine", "year": 2025, "abstract": "Background: Intervertebral disc degeneration (IVDD) is a complex age-related physiological process, with cellular senescence (CS) being a primary contributing factor. However, the precise role of CS and its associated genes in IVDD remains unclear.\nMethods: In this study, we performed differential expression analysis on the GSE124272 and GSE150408 datasets from the GEO database and identified 53 differentially expressed cellular senescence-related genes (CSRGs). We then conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses to explore their functions and associated pathways. We identified hub genes by constructing a protein-protein interaction (PPI) network and further validated these genes using clinical samples. We further explored the functional and prognostic significance of these genes using support vector machine recursive feature elimination (SVM-RFE), random forest (RF), and least absolute shrinkage and selection operator (LASSO) algorithms. We visualized the correlation between the differential expression levels of the four core genes and immune cell infiltration using heat maps and histograms. Finally, we performed graphene oxide enrichment analysis on 297 differentially expressed genes (DEGs) to investigate their role in IVDD.\nResults: We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples. Our results revealed that DUSP3 and SP1 were upregulated in IVDD, while MAPKAPK5 and VEGFA were downregulated. Immune cell infiltration analysis demonstrated that DUSP3 and SP1 were positively correlated with immune cell infiltration levels, whereas VEGFA and MAPKAPK5 were negatively correlated.\nConclusion: In summary, CSRGs play an important role in the pathogenesis of IVDD, and our study of the hub gene cluster may guide future therapeutic strategies for IVDD.", "claims": [{"id": "claim-method", "statement": "Finally, we combined the results of the PPI network analysis, LASSO analysis, SVM‐RFE algorithm, and RF algorithm to obtain 4 hub CSRGs significantly associated with IVDD (Figure 2E).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40061887", "locator": "sections[15] \"Recognition of Hub CSRGs\" paragraph 2", "quote": "Finally, we combined the results of the PPI network analysis, LASSO analysis, SVM‐RFE algorithm, and RF algorithm to obtain 4 hub CSRGs significantly associated with IVDD (Figure 2E)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40061887", "locator": "sections[30] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40061887", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples.", "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:40061887"], "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:GSE124272"], "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:GSE124272"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40061887", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1002/jsp2.70050", "sha256": "sha256:09e29c46b8161c38ab2e8a676560321e89bef626478bab0a8233500d6cefb3ca", "bytes": 47586, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1002/jsp2.70050", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11885168", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE124272", "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=GSE124272", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE124272", "version": null, "note": "The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3526782", "GSM3526783", "GSM3526784", "GSM3526785", "GSM3526786", "GSM3526787", "GSM3526788", "GSM3526789", "GSM3526790", "GSM3526791", "GSM3526792", "GSM3526793", "GSM3526794", "GSM3526795", "GSM3526796", "GSM3526797"], "sample_count": 16, "group_sizes": null, "group_sizes_basis": null, "platform": "21185", "taxon": "Homo sapiens", "title": "Transcriptome signatures reveal candidate key genes in the whole blood of patients with lumbar disc prolapse", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE150408", "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=GSE150408", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE150408", "version": null, "note": "The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4548691", "GSM4548692", "GSM4548693", "GSM4548694", "GSM4548695", "GSM4548696", "GSM4548697", "GSM4548698", "GSM4548699", "GSM4548700", "GSM4548701", "GSM4548702", "GSM4548703", "GSM4548704", "GSM4548705", "GSM4548706", "GSM4548707", "GSM4548708", "GSM4548709", "GSM4548710", "GSM4548711", "GSM4548712", "GSM4548713", "GSM4548714", "GSM4548715", "GSM4548716", "GSM4548717", "GSM4548718", "GSM4548719", "GSM4548720", "GSM4548721", "GSM4548722", "GSM4548723", "GSM4548724", "GSM4548725", "GSM4548726", "GSM4548727", "GSM4548728", "GSM4548729", "GSM4548730", "GSM4548731", "GSM4548732", "GSM4548733", "GSM4548734", "GSM4548735", "GSM4548736", "GSM4548737", "GSM4548738", "GSM4548739", "GSM4548740", "GSM4548741", "GSM4548742", "GSM4548743", "GSM4548744", "GSM4548745", "GSM4548746", "GSM4548747", "GSM4548748", "GSM4548749"], "sample_count": 59, "group_sizes": null, "group_sizes_basis": null, "platform": "21185", "taxon": "Homo sapiens", "title": "Identification of key genes potentially related to intervertebral disc degeneration by microarray analysis", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE124272 not downloaded", "asset:data:geo:GSE124272 licence not read", "asset:data:geo:GSE150408 not downloaded", "asset:data:geo:GSE150408 licence not read"]}, "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": "Finally, we combined the results of the PPI network analysis, LASSO analysis, SVM‐RFE algorithm, and RF algorithm to obtain 4 hub CSRGs significantly associated with IVDD (Figure 2E)."}}, {"id": "method-2", "family": "machine_learning", "specific": "random_forest", "label": "Machine learning", "dsl_operations": [], "missing_operations": ["machine_learning_random_forest"], "expressible": false, "parameters": {}, "data_shapes": ["labelled_feature_matrix"], "evidence": {"score": 0.7, "band": "medium", "quote": "random forest"}}, {"id": "method-3", "family": "machine_learning", "specific": "support_vector_machine", "label": "Machine learning", "dsl_operations": ["train_classifier", "cross_validate", "roc_auc"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["labelled_feature_matrix"], "evidence": {"score": 0.7, "band": "medium", "quote": "support vector machine"}}, {"id": "method-4", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}, {"id": "method-5", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "pathway enrichment"}}, {"id": "method-6", "family": "diagnostic_evaluation", "specific": "roc", "label": "Diagnostic test evaluation", "dsl_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["reference_standard_and_test"], "evidence": {"score": 0.8, "band": "high", "quote": "ROC curve"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["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": "R1", "reachable": true, "accessions": ["GSE124272", "GSE150408"], "resolved_accessions": ["GSE124272", "GSE150408"], "statements": ["The original contributions presented in the study are included in the article (Supporting Information); further inquiries can be directed to the corresponding authors. The datasets supporting the findings of this study are open access from GEO (https://www.ncbi.nlm.nih.gov/geo/)."], "basis": "The paper names GSE124272, GSE150408 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:40061887", "data:geo:GSE124272"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE124272"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:47:59Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 13651, "completion_tokens": 1458, "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:40061887", "type": "paper", "label": "pmid:40061887"}, {"id": "source:pmid:40061887", "type": "manuscript", "label": "PMID 40061887 full text"}, {"id": "data:geo:GSE124272", "type": "dataset", "label": "GEO GSE124272"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:40061887", "type": "paper", "label": "pmid:40061887"}, {"id": "source:pmid:40061887", "type": "manuscript", "label": "PMID 40061887 full text"}, {"id": "data:geo:GSE124272", "type": "dataset", "label": "GEO GSE124272"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-40061887", "type": "extraction", "used": ["source:pmid:40061887"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE124272", "type": "accession_resolution", "used": ["data:geo:GSE124272"], "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:40061887", "parent_hash": "sha256:6743394287c10df25c00d953f182cd8087818a507a218a3aeb0fed6d680d0e32", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE124272 licence not read", "asset:data:geo:GSE124272 not downloaded", "asset:data:geo:GSE150408 licence not read", "asset:data:geo:GSE150408 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"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": ["Finally, we combined the results of the PPI network analysis, LASSO analysis, SVM‐RFE algorithm, and RF algorithm to obtain 4 hub CSRGs significantly associated with IVDD (Figure 2E)."], "order_basis": "analysis_only", "id": "assay:1"}]}