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

pmid:38490010

Identification of core gene in chronic rhinosinusitis with nasal polyps and correlations with inflammation-related genes.

Jingpu Yang · Chang Liu · Jinzhang Cheng · Yunmeng Wang · Zonggui Wang · Wei Zhong

Brazilian journal of otorhinolaryngology · 2024 doi:10.1016/j.bjorl.2024.101410

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:38490010
kind
science-record
content_hash
sha256:1aa9717f610f32bd6cc601970021c1abe73f43f0e4d26fed6d7c8132b57fc7b8
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:20:26Z
updated_at
2026-11-01T22:53:53Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Identification of core gene in chronic rhinosinusitis with nasal polyps and correlations with inflammation-related genes.
doi
10.1016/j.bjorl.2024.101410
pmid
38490010
authors array · 6 items
[0]
Jingpu Yang
[1]
Chang Liu
[2]
Jinzhang Cheng
[3]
Yunmeng Wang
[4]
Zonggui Wang
[5]
Wei Zhong
journal
Brazilian journal of otorhinolaryngology
year
2024
abstract
OBJECTIVE: Our aim in this study is to identify the core genes of chronic rhinosinusitis with nasal polyps and analyze the correlations between it and inflammation-related genes. METHODS: GSE72713 dataset containing gene expression data of ECRSwNP, nonECRSwNP and healthy samples was obtained from Gene Expression Omnibus (GEO) and filtered by limma to identify DEGs among three groups, then the functions and correlated pathways of DEGs were analyzed using GO and KEGG. The core DEGs were selected by the intersection of DEGs and the PPI network was constructed via STRING. The correlations between the expression levels of CRSwNP core gene and inflammation-related genes were analyzed via the Mann-Whitney U test. RESULTS: The DEGs among ECRSwNP, nonECRSwNP, and CTRL were filtered respectively, and enrichment analysis showed they were associated with olfaction and/or immune responses. The PPI network was constructed by 7 core DEGs obtained via the intersection among three groups, and ALOX15 was confirmed as the core gene in the network. Subsequently, the correlations between the expression levels of ALOX15 and inflammation-related genes were illustrated. CONCLUSION: In this study, the core gene ALOX15 was selected from the DEGs among ECRSwNP, nonECRSwNP, and CTRL. IL5, IL1RL1, and IL1RAP were found to exhibit a significant positive correlation with ALOX15. LEVEL OF EVIDENCE: Level 3.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The limma (version 1.34.0)15 was employed to perform differential analysis on the expression matrix of sequencing data in all chips to identify Differentially Expressed Genes (DEGs) among ECRSwNP, nonECRSwNP, and CTRL.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38490010
locator
sections[4] "Differentially expressed genes analysis" paragraph 2
quote
The limma (version 1.34.0)15 was employed to perform differential analysis on the expression matrix of sequencing data in all chips to identify Differentially Expressed Genes (DEGs) among ECRSwNP, nonECRSwNP, and CTRL.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38490010
locator
sections[19] "Data availability statement" paragraph 2
quote
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
In this study, the core gene ALOX15 was selected from the DEGs among ECRSwNP, nonECRSwNP, and CTRL.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:38490010
locator
sections[0] "Abstract" paragraph 8
quote
In this study, the core gene ALOX15 was selected from the DEGs among ECRSwNP, nonECRSwNP, and CTRL.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
In this study, the core gene ALOX15 was selected from the DEGs among ECRSwNP, nonECRSwNP, and CTRL.
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:38490010
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:GSE72713
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:GSE72713
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:38490010
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1016/j.bjorl.2024.101410
sha256
sha256:b88b5c7c47b7cd718561e608def8f73eb630c412f7193817a7899355264a9290
bytes
31181
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1016/j.bjorl.2024.101410
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
PMC10955304
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE72713
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=GSE72713
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE72713
version
null
note
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
access_statement_kind
data_availability_statement
sample_accessions array · 9 items
[0]
GSM1868853
[1]
GSM1868854
[2]
GSM1868855
[3]
GSM1868856
[4]
GSM1868857
[5]
GSM1868858
[6]
GSM1868859
[7]
GSM1868860
[8]
GSM1868861
sample_count
9
group_sizes
null
group_sizes_basis
null
platform
11154
taxon
Homo sapiens
title
Transcriptome analysis of eosinophilic and noneosinophilic chronic rhinosinusitis with nasal polyps reveals distinct lncRNA expression profiles
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:GSE72713 not downloaded
[1]
asset:data:geo:GSE72713 licence not read
analysis object · 4 fields
state
partial
methods array · 8 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
The limma (version 1.34.0)15 was employed to perform differential analysis on the expression matrix of sequencing data in all chips to identify Differentially Expressed Genes (DEGs) among ECRSwNP, nonECRSwNP, and CTRL.
[1] object · 10 fields
id
method-2
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
0.8
band
high
quote
Student t-test
[2] object · 10 fields
id
method-3
family
group_comparison
specific
mann_whitney
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_mann_whitney
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.7
band
medium
quote
Mann-Whitney
[3] object · 10 fields
id
method-4
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
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
Wilcoxon
[4] object · 10 fields
id
method-5
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
analysis of variance
[5] object · 10 fields
id
method-6
family
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Pearson correlation
[6] object · 10 fields
id
method-7
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
PPI
[7] object · 10 fields
id
method-8
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
0.8
band
high
quote
GO enrichment
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 · 1 item
[0]
GSE72713
resolved_accessions array · 1 item
[0]
GSE72713
statements array · 1 item
[0]
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
basis
The paper names GSE72713 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 · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 2 items
[0]
source:pmid:38490010
[1]
data:geo:GSE72713
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:GSE72713
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
2026-11-01T19:12:06Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
9944
completion_tokens
1526
cached_tokens
128
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:38490010
type
paper
label
pmid:38490010
[1] object · 3 fields
id
source:pmid:38490010
type
manuscript
label
PMID 38490010 full text
[2] object · 3 fields
id
data:geo:GSE72713
type
dataset
label
GEO GSE72713
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:38490010
type
paper
label
pmid:38490010
[1] object · 3 fields
id
source:pmid:38490010
type
manuscript
label
PMID 38490010 full text
[2] object · 3 fields
id
data:geo:GSE72713
type
dataset
label
GEO GSE72713
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-38490010
type
extraction
used array · 1 item
[0]
source:pmid:38490010
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE72713
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE72713
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:38490010
parent_hash
sha256:ec09b71408188141be7ed2cb9b426150a9514a492c1065ed75cce18a25093adc
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE72713 licence not read
[1]
asset:data:geo:GSE72713 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
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]
The limma (version 1.34.0)15 was employed to perform differential analysis on the expression matrix of sequencing data in all chips to identify Differentially Expressed Genes (DEGs) among ECRSwNP, nonECRSwNP, and CTRL.
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:38490010", "kind": "science-record", "revision": 4, "content_hash": "sha256:1aa9717f610f32bd6cc601970021c1abe73f43f0e4d26fed6d7c8132b57fc7b8", "created_at": "2026-11-01T19:20:26Z", "updated_at": "2026-11-01T22:53:53Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of core gene in chronic rhinosinusitis with nasal polyps and correlations with inflammation-related genes.", "doi": "10.1016/j.bjorl.2024.101410", "pmid": "38490010", "authors": ["Jingpu Yang", "Chang Liu", "Jinzhang Cheng", "Yunmeng Wang", "Zonggui Wang", "Wei Zhong"], "journal": "Brazilian journal of otorhinolaryngology", "year": 2024, "abstract": "OBJECTIVE: Our aim in this study is to identify the core genes of chronic rhinosinusitis with nasal polyps and analyze the correlations between it and inflammation-related genes.\nMETHODS: GSE72713 dataset containing gene expression data of ECRSwNP, nonECRSwNP and healthy samples was obtained from Gene Expression Omnibus (GEO) and filtered by limma to identify DEGs among three groups, then the functions and correlated pathways of DEGs were analyzed using GO and KEGG. The core DEGs were selected by the intersection of DEGs and the PPI network was constructed via STRING. The correlations between the expression levels of CRSwNP core gene and inflammation-related genes were analyzed via the Mann-Whitney U test.\nRESULTS: The DEGs among ECRSwNP, nonECRSwNP, and CTRL were filtered respectively, and enrichment analysis showed they were associated with olfaction and/or immune responses. The PPI network was constructed by 7 core DEGs obtained via the intersection among three groups, and ALOX15 was confirmed as the core gene in the network. Subsequently, the correlations between the expression levels of ALOX15 and inflammation-related genes were illustrated.\nCONCLUSION: In this study, the core gene ALOX15 was selected from the DEGs among ECRSwNP, nonECRSwNP, and CTRL. IL5, IL1RL1, and IL1RAP were found to exhibit a significant positive correlation with ALOX15.\nLEVEL OF EVIDENCE: Level 3.", "claims": [{"id": "claim-method", "statement": "The limma (version 1.34.0)15 was employed to perform differential analysis on the expression matrix of sequencing data in all chips to identify Differentially Expressed Genes (DEGs) among ECRSwNP, nonECRSwNP, and CTRL.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38490010", "locator": "sections[4] \"Differentially expressed genes analysis\" paragraph 2", "quote": "The limma (version 1.34.0)15 was employed to perform differential analysis on the expression matrix of sequencing data in all chips to identify Differentially Expressed Genes (DEGs) among ECRSwNP, nonECRSwNP, and CTRL."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38490010", "locator": "sections[19] \"Data availability statement\" paragraph 2", "quote": "The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "In this study, the core gene ALOX15 was selected from the DEGs among ECRSwNP, nonECRSwNP, and CTRL.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38490010", "locator": "sections[0] \"Abstract\" paragraph 8", "quote": "In this study, the core gene ALOX15 was selected from the DEGs among ECRSwNP, nonECRSwNP, and CTRL."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "In this study, the core gene ALOX15 was selected from the DEGs among ECRSwNP, nonECRSwNP, and CTRL.", "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:38490010"], "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:GSE72713"], "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:GSE72713"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38490010", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1016/j.bjorl.2024.101410", "sha256": "sha256:b88b5c7c47b7cd718561e608def8f73eb630c412f7193817a7899355264a9290", "bytes": 31181, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1016/j.bjorl.2024.101410", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10955304", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE72713", "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=GSE72713", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE72713", "version": null, "note": "The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1868853", "GSM1868854", "GSM1868855", "GSM1868856", "GSM1868857", "GSM1868858", "GSM1868859", "GSM1868860", "GSM1868861"], "sample_count": 9, "group_sizes": null, "group_sizes_basis": null, "platform": "11154", "taxon": "Homo sapiens", "title": "Transcriptome analysis of eosinophilic and noneosinophilic chronic rhinosinusitis with nasal polyps reveals distinct lncRNA expression profiles", "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:GSE72713 not downloaded", "asset:data:geo:GSE72713 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": "The limma (version 1.34.0)15 was employed to perform differential analysis on the expression matrix of sequencing data in all chips to identify Differentially Expressed Genes (DEGs) among ECRSwNP, nonECRSwNP, and CTRL."}}, {"id": "method-2", "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": 0.8, "band": "high", "quote": "Student t-test"}}, {"id": "method-3", "family": "group_comparison", "specific": "mann_whitney", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_mann_whitney"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.7, "band": "medium", "quote": "Mann-Whitney"}}, {"id": "method-4", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-5", "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": "analysis of variance"}}, {"id": "method-6", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Pearson correlation"}}, {"id": "method-7", "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": "PPI"}}, {"id": "method-8", "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": 0.8, "band": "high", "quote": "GO enrichment"}}], "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": ["GSE72713"], "resolved_accessions": ["GSE72713"], "statements": ["The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request."], "basis": "The paper names GSE72713 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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:38490010", "data:geo:GSE72713"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE72713"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:12:06Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 9944, "completion_tokens": 1526, "cached_tokens": 128}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:38490010", "type": "paper", "label": "pmid:38490010"}, {"id": "source:pmid:38490010", "type": "manuscript", "label": "PMID 38490010 full text"}, {"id": "data:geo:GSE72713", "type": "dataset", "label": "GEO GSE72713"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:38490010", "type": "paper", "label": "pmid:38490010"}, {"id": "source:pmid:38490010", "type": "manuscript", "label": "PMID 38490010 full text"}, {"id": "data:geo:GSE72713", "type": "dataset", "label": "GEO GSE72713"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-38490010", "type": "extraction", "used": ["source:pmid:38490010"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE72713", "type": "accession_resolution", "used": ["data:geo:GSE72713"], "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:38490010", "parent_hash": "sha256:ec09b71408188141be7ed2cb9b426150a9514a492c1065ed75cce18a25093adc", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE72713 licence not read", "asset:data:geo:GSE72713 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": ["The limma (version 1.34.0)15 was employed to perform differential analysis on the expression matrix of sequencing data in all chips to identify Differentially Expressed Genes (DEGs) among ECRSwNP, nonECRSwNP, and CTRL."], "order_basis": "analysis_only", "id": "assay:1"}]}