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

pmid:33532018

Identification of colorectal cancer-associated macrophage biomarkers by integrated bioinformatic analysis.

Dejun Cui · Wenqiang Yuan · Chen Chen · Ran Han

International journal of clinical and experimental pathology · 2021

Paper

partial

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:33532018
kind
science-record
content_hash
sha256:4b1702f53aec92ad2626420187d7443290a7f21abd2f919f9f2a4da9bd99a2cf
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T17:34:40Z
updated_at
2026-11-01T22:03:02Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
partial
title
Identification of colorectal cancer-associated macrophage biomarkers by integrated bioinformatic analysis.
doi
null
pmid
33532018
authors array · 4 items
[0]
Dejun Cui
[1]
Wenqiang Yuan
[2]
Chen Chen
[3]
Ran Han
journal
International journal of clinical and experimental pathology
year
2021
abstract
The aim of this study was to explore colorectal tumor-associated macrophage (TAM) biomarkers for early diagnosis and surveillance of colorectal cancer (CRC). We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells. We found 431 DEGs in TAMs compared with the control group; 399 were up-regulated and 32 were down-regulated. A functional enrichment analysis showed that the DEGs were involved in positive regulation of the ERK1 and ERK2 cascade, cell activation involved in the immune response, cytokine-mediated signaling pathway, and receptor activity, all of which were significantly enriched. We constructed a protein-protein interaction (PPI) network to identify hub genes. We identified 10 hub genes: ITGB2, ITGAM, C3AR1, PTAFR, C3, CYBB, FCER1G, PLAU, STOM, and GPR84, in the PPI network. We verified the results using array expression data of peripheral blood mononuclear cells (GEO: GSE47756). The results showed that the expression trends of CYBB, PLAU, and STOM were consistent with those found in the GSE29214 dataset. Further verification with The Cancer Genome Atlas and Human Protein Atlas showed that the high expression of PLAU in TAMs was statistically significant (P<0.05). We concluded that PLAU may be a biomarker of CRC-associated macrophages and may have prognostic and predictive significance for clinical utility in CRC management.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:33532018
locator
sections[0] "Abstract" paragraph 1
quote
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:33532018
locator
sections[0] "Abstract" paragraph 1
quote
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
We found 431 DEGs in TAMs compared with the control group; 399 were up-regulated and 32 were down-regulated.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:33532018
locator
sections[0] "Abstract" paragraph 1
quote
We found 431 DEGs in TAMs compared with the control group; 399 were up-regulated and 32 were down-regulated.
state
complete
gaps array · 1 item
[0]
doi
experiment object · 8 fields
state
complete
objective
We found 431 DEGs in TAMs compared with the control group; 399 were up-regulated and 32 were down-regulated.
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:33532018
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:GSE29214
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:GSE29214
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:33532018
role
manuscript
format
xml
media_type
application/xml
uri
null
sha256
sha256:2439c5cc4797935a81a4f88eae3500420fa5b73648cba804d61faef614fff22e
bytes
1526
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
33532018
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
PMC7847498
source
ncbi_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE29214
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=GSE29214
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE29214
version
null
note
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
access_statement_kind
repository_route_statement
sample_accessions array · 10 items
[0]
GSM722555
[1]
GSM722556
[2]
GSM722557
[3]
GSM722558
[4]
GSM722559
[5]
GSM722560
[6]
GSM722561
[7]
GSM722562
[8]
GSM722563
[9]
GSM722564
sample_count
10
group_sizes
null
group_sizes_basis
null
platform
6104
taxon
Homo sapiens
title
Macrophages in Human Colorectal Cancer are Pro-inflammatory and Prime T Cells towards the Anti-Tumor Type-1 Inflammatory Response
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE47756
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=GSE47756
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE47756
version
null
note
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
access_statement_kind
repository_route_statement
sample_accessions array · 93 items
[0]
GSM1156513
[1]
GSM1156514
[2]
GSM1156515
[3]
GSM1156516
[4]
GSM1156517
[5]
GSM1156518
[6]
GSM1156519
[7]
GSM1156520
[8]
GSM1156521
[9]
GSM1156522
[10]
GSM1156523
[11]
GSM1156524
[12]
GSM1156525
[13]
GSM1156526
[14]
GSM1156527
[15]
GSM1156528
[16]
GSM1156529
[17]
GSM1156530
[18]
GSM1156531
[19]
GSM1156532
[20]
GSM1156533
[21]
GSM1156534
[22]
GSM1156535
[23]
GSM1156536
[24]
GSM1156537
[25]
GSM1156538
[26]
GSM1156539
[27]
GSM1156540
[28]
GSM1156541
[29]
GSM1156542
[30]
GSM1156543
[31]
GSM1156544
[32]
GSM1156545
[33]
GSM1156546
[34]
GSM1156547
[35]
GSM1156548
[36]
GSM1156549
[37]
GSM1156550
[38]
GSM1156551
[39]
GSM1156552
[40]
GSM1156553
[41]
GSM1156554
[42]
GSM1156555
[43]
GSM1156556
[44]
GSM1156557
[45]
GSM1156558
[46]
GSM1156559
[47]
GSM1156560
[48]
GSM1156561
[49]
GSM1156562
[50]
GSM1156563
[51]
GSM1156564
[52]
GSM1156565
[53]
GSM1156566
[54]
GSM1156567
[55]
GSM1156568
[56]
GSM1156569
[57]
GSM1156570
[58]
GSM1156571
[59]
GSM1156572
[60]
GSM1156573
[61]
GSM1156574
[62]
GSM1156575
[63]
GSM1156576
[64]
GSM1156577
[65]
GSM1156578
[66]
GSM1156579
[67]
GSM1156580
[68]
GSM1156581
[69]
GSM1156582
[70]
GSM1156583
[71]
GSM1156584
[72]
GSM1156585
[73]
GSM1156586
[74]
GSM1156587
[75]
GSM1156588
[76]
GSM1156589
[77]
GSM1156590
[78]
GSM1156591
[79]
GSM1156592
[80]
GSM1156593
[81]
GSM1156594
[82]
GSM1156595
[83]
GSM1156596
[84]
GSM1156597
[85]
GSM1156598
[86]
GSM1156599
[87]
GSM1156600
[88]
GSM1156601
[89]
GSM1156602
[90]
GSM1156603
[91]
GSM1156604
[92]
GSM1156605
sample_count
93
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Tumor-educated circulating monocytes are powerful specific biomarkers for diagnosis of colorectal cancer
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:GSE29214 not downloaded
[1]
asset:data:geo:GSE29214 licence not read
[2]
asset:data:geo:GSE47756 not downloaded
[3]
asset:data:geo:GSE47756 licence not read
analysis object · 4 fields
state
partial
methods array · 2 items
[0] object · 10 fields
id
method-1
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
[1] object · 10 fields
id
method-2
family
null
specific
null
label
bioinformatic methods
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
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]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
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: ppi_network.
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]
GSE29214
[1]
GSE47756
resolved_accessions array · 2 items
[0]
GSE29214
[1]
GSE47756
statements array · 1 item
[0]
We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.
basis
The paper names GSE29214, GSE47756 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]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
assets array · 2 items
[0]
source:pmid:33532018
[1]
data:geo:GSE29214
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:GSE29214
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
2026-11-01T17:01:35Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
5
usage object · 3 fields
prompt_tokens
1959
completion_tokens
1535
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:33532018
type
paper
label
pmid:33532018
[1] object · 3 fields
id
source:pmid:33532018
type
manuscript
label
PMID 33532018 full text
[2] object · 3 fields
id
data:geo:GSE29214
type
dataset
label
GEO GSE29214
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:33532018
type
paper
label
pmid:33532018
[1] object · 3 fields
id
source:pmid:33532018
type
manuscript
label
PMID 33532018 full text
[2] object · 3 fields
id
data:geo:GSE29214
type
dataset
label
GEO GSE29214
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33532018
type
extraction
used array · 1 item
[0]
source:pmid:33532018
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE29214
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE29214
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:33532018
parent_hash
sha256:914a09b7fa07ba00e8b11c884253f90003af704210dea42c7fb0f6338d2d22a1
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE29214 licence not read
[1]
asset:data:geo:GSE29214 not downloaded
[2]
asset:data:geo:GSE47756 licence not read
[3]
asset:data:geo:GSE47756 not downloaded
[4]
doi
[5]
execution.not_run
[6]
method.reader_named_unmapped
[7]
review.human_critique
[8]
review.independent_reader
[9]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
network_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
protein-protein interaction
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:33532018", "kind": "science-record", "revision": 4, "content_hash": "sha256:4b1702f53aec92ad2626420187d7443290a7f21abd2f919f9f2a4da9bd99a2cf", "created_at": "2026-11-01T17:34:40Z", "updated_at": "2026-11-01T22:03:02Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "partial", "title": "Identification of colorectal cancer-associated macrophage biomarkers by integrated bioinformatic analysis.", "doi": null, "pmid": "33532018", "authors": ["Dejun Cui", "Wenqiang Yuan", "Chen Chen", "Ran Han"], "journal": "International journal of clinical and experimental pathology", "year": 2021, "abstract": "The aim of this study was to explore colorectal tumor-associated macrophage (TAM) biomarkers for early diagnosis and surveillance of colorectal cancer (CRC). We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells. We found 431 DEGs in TAMs compared with the control group; 399 were up-regulated and 32 were down-regulated. A functional enrichment analysis showed that the DEGs were involved in positive regulation of the ERK1 and ERK2 cascade, cell activation involved in the immune response, cytokine-mediated signaling pathway, and receptor activity, all of which were significantly enriched. We constructed a protein-protein interaction (PPI) network to identify hub genes. We identified 10 hub genes: ITGB2, ITGAM, C3AR1, PTAFR, C3, CYBB, FCER1G, PLAU, STOM, and GPR84, in the PPI network. We verified the results using array expression data of peripheral blood mononuclear cells (GEO: GSE47756). The results showed that the expression trends of CYBB, PLAU, and STOM were consistent with those found in the GSE29214 dataset. Further verification with The Cancer Genome Atlas and Human Protein Atlas showed that the high expression of PLAU in TAMs was statistically significant (P<0.05). We concluded that PLAU may be a biomarker of CRC-associated macrophages and may have prognostic and predictive significance for clinical utility in CRC management.", "claims": [{"id": "claim-method", "statement": "We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33532018", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33532018", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We found 431 DEGs in TAMs compared with the control group; 399 were up-regulated and 32 were down-regulated.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:33532018", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "We found 431 DEGs in TAMs compared with the control group; 399 were up-regulated and 32 were down-regulated."}], "state": "complete"}], "gaps": ["doi"]}, "experiment": {"state": "complete", "objective": "We found 431 DEGs in TAMs compared with the control group; 399 were up-regulated and 32 were down-regulated.", "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:33532018"], "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:GSE29214"], "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:GSE29214"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33532018", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": null, "sha256": "sha256:2439c5cc4797935a81a4f88eae3500420fa5b73648cba804d61faef614fff22e", "bytes": 1526, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "33532018", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7847498", "source": "ncbi_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE29214", "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=GSE29214", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE29214", "version": null, "note": "We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM722555", "GSM722556", "GSM722557", "GSM722558", "GSM722559", "GSM722560", "GSM722561", "GSM722562", "GSM722563", "GSM722564"], "sample_count": 10, "group_sizes": null, "group_sizes_basis": null, "platform": "6104", "taxon": "Homo sapiens", "title": "Macrophages in Human Colorectal Cancer are Pro-inflammatory and Prime T Cells towards the Anti-Tumor Type-1 Inflammatory Response", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE47756", "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=GSE47756", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE47756", "version": null, "note": "We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM1156513", "GSM1156514", "GSM1156515", "GSM1156516", "GSM1156517", "GSM1156518", "GSM1156519", "GSM1156520", "GSM1156521", "GSM1156522", "GSM1156523", "GSM1156524", "GSM1156525", "GSM1156526", "GSM1156527", "GSM1156528", "GSM1156529", "GSM1156530", "GSM1156531", "GSM1156532", "GSM1156533", "GSM1156534", "GSM1156535", "GSM1156536", "GSM1156537", "GSM1156538", "GSM1156539", "GSM1156540", "GSM1156541", "GSM1156542", "GSM1156543", "GSM1156544", "GSM1156545", "GSM1156546", "GSM1156547", "GSM1156548", "GSM1156549", "GSM1156550", "GSM1156551", "GSM1156552", "GSM1156553", "GSM1156554", "GSM1156555", "GSM1156556", "GSM1156557", "GSM1156558", "GSM1156559", "GSM1156560", "GSM1156561", "GSM1156562", "GSM1156563", "GSM1156564", "GSM1156565", "GSM1156566", "GSM1156567", "GSM1156568", "GSM1156569", "GSM1156570", "GSM1156571", "GSM1156572", "GSM1156573", "GSM1156574", "GSM1156575", "GSM1156576", "GSM1156577", "GSM1156578", "GSM1156579", "GSM1156580", "GSM1156581", "GSM1156582", "GSM1156583", "GSM1156584", "GSM1156585", "GSM1156586", "GSM1156587", "GSM1156588", "GSM1156589", "GSM1156590", "GSM1156591", "GSM1156592", "GSM1156593", "GSM1156594", "GSM1156595", "GSM1156596", "GSM1156597", "GSM1156598", "GSM1156599", "GSM1156600", "GSM1156601", "GSM1156602", "GSM1156603", "GSM1156604", "GSM1156605"], "sample_count": 93, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Tumor-educated circulating monocytes are powerful specific biomarkers for diagnosis of colorectal cancer", "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:GSE29214 not downloaded", "asset:data:geo:GSE29214 licence not read", "asset:data:geo:GSE47756 not downloaded", "asset:data:geo:GSE47756 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "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-2", "family": null, "specific": null, "label": "bioinformatic methods", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "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": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network."}, "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": ["GSE29214", "GSE47756"], "resolved_accessions": ["GSE29214", "GSE47756"], "statements": ["We used bioinformatic methods to screen array expression data of CRC-related macrophages (GEO: GSE29214) to detect the differentially expressed genes (DEGs) between CRC-related macrophages and normal control cells."], "basis": "The paper names GSE29214, GSE47756 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "assets": ["source:pmid:33532018", "data:geo:GSE29214"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE29214"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:01:35Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 5, "usage": {"prompt_tokens": 1959, "completion_tokens": 1535, "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:33532018", "type": "paper", "label": "pmid:33532018"}, {"id": "source:pmid:33532018", "type": "manuscript", "label": "PMID 33532018 full text"}, {"id": "data:geo:GSE29214", "type": "dataset", "label": "GEO GSE29214"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:33532018", "type": "paper", "label": "pmid:33532018"}, {"id": "source:pmid:33532018", "type": "manuscript", "label": "PMID 33532018 full text"}, {"id": "data:geo:GSE29214", "type": "dataset", "label": "GEO GSE29214"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-33532018", "type": "extraction", "used": ["source:pmid:33532018"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE29214", "type": "accession_resolution", "used": ["data:geo:GSE29214"], "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:33532018", "parent_hash": "sha256:914a09b7fa07ba00e8b11c884253f90003af704210dea42c7fb0f6338d2d22a1", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE29214 licence not read", "asset:data:geo:GSE29214 not downloaded", "asset:data:geo:GSE47756 licence not read", "asset:data:geo:GSE47756 not downloaded", "doi", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "network_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["protein-protein interaction"], "order_basis": "analysis_only", "id": "assay:1"}]}