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

pmid:35655923

Potential Value of Circular RNA circTBC1D4 in Gastrointestinal Stromal Tumors.

Chunyan-Zou · Yanpeng-He · Changshun-Xie · Fulai-Gao · Xiaoli-Xie · Xiukun-Chai · Chenxi-He · Dongqiang-Zhao

Journal of immunology research · 2022 doi:10.1155/2022/9019097

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

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:35655923
kind
science-record
content_hash
sha256:8567f4baf1f05e881c6bdddb9b425759c68c78d893832ec50b94d6dbb92f6d02
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T18:14:35Z
updated_at
2026-11-01T22:49:13Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Potential Value of Circular RNA circTBC1D4 in Gastrointestinal Stromal Tumors.
doi
10.1155/2022/9019097
pmid
35655923
authors array · 8 items
[0]
Chunyan-Zou
[1]
Yanpeng-He
[2]
Changshun-Xie
[3]
Fulai-Gao
[4]
Xiaoli-Xie
[5]
Xiukun-Chai
[6]
Chenxi-He
[7]
Dongqiang-Zhao
journal
Journal of immunology research
year
2022
abstract
Aims: To explore the expression of circular RNA (circRNA) in gastrointestinal stromal tumors. Background: Gastrointestinal stromal tumors (GIST) are mainly distributed in the stomach and small intestine. Recently, it has been verified that circular RNA (circRNA) has an important function in the regulation of GIST. Nevertheless, detailed investigations of circRNA-miRNA-mRNA regulatory networks in GIST are lacking. Objective: To analyze the gastrointestinal stromal tumor circRNA-miRNA-mRNA network, assessing the effect of circle RNA in gastrointestinal stromal tumors. Method: All the differential circRNAs and mRNAs were obtained from Gene Expression Omnibus (GEO) microarray data (GSE131481 and GSE147303, GSE131481, and GSE13861). Furthermore, a circRNA-miRNA-mRNA network was established. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment were used to reveal the correlation between the functions of signaling pathways and target genes. The hub genes of protein-protein interaction (PPI) network and cytoHubba were also defined. Quantitative real-time PCR (qRT-PCR) was used to measure the expression levels of hsa-circ-0002917 (circTBC1D4), hsa-miR-590-5p (miR-590-5p), and PLN. Results: PPI network and Cytoscape showed that ATP1A2, PLN, KCNMA1, and SCNN1B were four central DEGs. GO analysis results revealed that DEGs were involved in negative management of myocardial contraction, regulation of myocardial cell contraction, ethanol oxidation, cellular potassium ion homeostasis, and relaxation of cardiac muscle, and KEGG analysis showed that major DEGs were with cGMP-PKG signaling pathway. Moreover, we obtained two pairs of axes, namely, hsa-circ-0039216/hsa-miR-338-3p/ATP1A2 and hsa-circ-0002917/hsa-miR-590-5p/PLN. The target of TBC1D4 is miR-590-5p, and miR-590-5p increased after knocking down TBC1D4. Moreover, PLN was the target of miR-590-5p, and miR-590-5p exerts antitumor effects by reducing PLN. Conclusions: In this study, we constructed a circRNA-miRNA-mRNA management network interrelated with GIST and researched the potential roles of circRNA. Moreover, we discovered a new molecular landmarker for the prediction, diagnosis, and therapy of patients.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The Bioconductor Limma package was useful for definitude of differentially expressing circRNAs (DEcircRNAs) and mRNAs in each dataset [12]. The edge R software package was used for screening criterion for ∣log2fold change (FC) | >1 and pvalue < 0.05 for the differential expression circRNAs (DEcircRNAs); the Venny 2.1.0 (https://bioinfogp.cnb.csic.es/tools/venny/) was used for constructing a Venn diagram to obtain differentially expressed DEcircRNAs [13].
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35655923
locator
sections[4] "2.2. Differential Expression Analysis" paragraph 2
quote
The Bioconductor Limma package was useful for definitude of differentially expressing circRNAs (DEcircRNAs) and mRNAs in each dataset [12]. The edge R software package was used for screening criterion for ∣log2fold change (FC) | >1 and pvalue < 0.05 for the differential expression circRNAs (DEcircRNAs); the Venny 2.1.0 (https://bioinfogp.cnb.csic.es/tools/venny/) was used for constructing a Venn diagram to obtain differentially expressed DEcircRNAs [13].
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35655923
locator
sections[18] "Data Availability" paragraph 2
quote
The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Moreover, we obtained two pairs of axes, namely, hsa-circ-0039216/hsa-miR-338-3p/ATP1A2 and hsa-circ-0002917/hsa-miR-590-5p/PLN.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35655923
locator
sections[0] "Abstract" paragraph 5
quote
Moreover, we obtained two pairs of axes, namely, hsa-circ-0039216/hsa-miR-338-3p/ATP1A2 and hsa-circ-0002917/hsa-miR-590-5p/PLN.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Moreover, we obtained two pairs of axes, namely, hsa-circ-0039216/hsa-miR-338-3p/ATP1A2 and hsa-circ-0002917/hsa-miR-590-5p/PLN.
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:35655923
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:GSE131481
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:GSE131481
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 · 4 items
[0] object · 15 fields
id
source:pmid:35655923
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1155/2022/9019097
sha256
sha256:cda2fa0912b94130303d4488b6754324b7f2b6e1468435fb147fd04d6411c706
bytes
30803
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1155/2022/9019097
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
PMC9155966
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE131481
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=GSE131481
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE131481
version
null
note
The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).
access_statement_kind
data_availability_statement
sample_accessions array · 6 items
[0]
GSM3781295
[1]
GSM3781296
[2]
GSM3781297
[3]
GSM3781298
[4]
GSM3781299
[5]
GSM3781300
sample_count
6
group_sizes
null
group_sizes_basis
null
platform
22120
taxon
Homo sapiens
title
CeRNA Expression Profiling Identifies KIT Related circRNAs-miRNA-mRNA Networks in Gastro-intestinal Stromal Tumors
resolution_checked_at
2026-11-01T18:06:43Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE13861
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=GSE13861
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE13861
version
null
note
The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).
access_statement_kind
data_availability_statement
sample_accessions array · 90 items
[0]
GSM348332
[1]
GSM348333
[2]
GSM348334
[3]
GSM348335
[4]
GSM348336
[5]
GSM348337
[6]
GSM348338
[7]
GSM348339
[8]
GSM348340
[9]
GSM348341
[10]
GSM348342
[11]
GSM348343
[12]
GSM348344
[13]
GSM348345
[14]
GSM348346
[15]
GSM348347
[16]
GSM348348
[17]
GSM348349
[18]
GSM348350
[19]
GSM348351
[20]
GSM348352
[21]
GSM348353
[22]
GSM348354
[23]
GSM348355
[24]
GSM348356
[25]
GSM348357
[26]
GSM348358
[27]
GSM348359
[28]
GSM348360
[29]
GSM348361
[30]
GSM348362
[31]
GSM348363
[32]
GSM348364
[33]
GSM348365
[34]
GSM348366
[35]
GSM348367
[36]
GSM348368
[37]
GSM348369
[38]
GSM348370
[39]
GSM348371
[40]
GSM348372
[41]
GSM348373
[42]
GSM348374
[43]
GSM348375
[44]
GSM348376
[45]
GSM348377
[46]
GSM348378
[47]
GSM348379
[48]
GSM348380
[49]
GSM348381
[50]
GSM348382
[51]
GSM348383
[52]
GSM348384
[53]
GSM348385
[54]
GSM348386
[55]
GSM348387
[56]
GSM348388
[57]
GSM348389
[58]
GSM348390
[59]
GSM348391
[60]
GSM348392
[61]
GSM348393
[62]
GSM348394
[63]
GSM348395
[64]
GSM348396
[65]
GSM348397
[66]
GSM348398
[67]
GSM348399
[68]
GSM348400
[69]
GSM348401
[70]
GSM348402
[71]
GSM348403
[72]
GSM348404
[73]
GSM348405
[74]
GSM348406
[75]
GSM348407
[76]
GSM348408
[77]
GSM348409
[78]
GSM348410
[79]
GSM348411
[80]
GSM348412
[81]
GSM348413
[82]
GSM348414
[83]
GSM348415
[84]
GSM348416
[85]
GSM348417
[86]
GSM348418
[87]
GSM348419
[88]
GSM348420
[89]
GSM348421
sample_count
90
group_sizes
null
group_sizes_basis
null
platform
6884
taxon
Homo sapiens
title
Gene expression signature-based novel prognostic risk score in gastric cancer
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE147303
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=GSE147303
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE147303
version
null
note
The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).
access_statement_kind
data_availability_statement
sample_accessions array · 6 items
[0]
GSM4425517
[1]
GSM4425518
[2]
GSM4425519
[3]
GSM4425520
[4]
GSM4425521
[5]
GSM4425522
sample_count
6
group_sizes
null
group_sizes_basis
null
platform
21825
taxon
Homo sapiens
title
Expression of circRNAs in gastrointestinal stromal tumor
resolution_checked_at
2026-11-01T18:06:43Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE131481 not downloaded
[1]
asset:data:geo:GSE131481 licence not read
[2]
asset:data:geo:GSE13861 not downloaded
[3]
asset:data:geo:GSE13861 licence not read
[4]
asset:data:geo:GSE147303 not downloaded
[5]
asset:data:geo:GSE147303 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
The Bioconductor Limma package was useful for definitude of differentially expressing circRNAs (DEcircRNAs) and mRNAs in each dataset [12]. The edge R software package was used for screening criterion for ∣log2fold change (FC) | >1 and pvalue < 0.05 for the differential expression circRNAs (DEcircRNAs); the Venny 2.1.0 (https://bioinfogp.cnb.csic.es/tools/venny/) was used for constructing a Venn diagram to obtain differentially expressed DEcircRNAs [13].
[1] object · 10 fields
id
method-2
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
[2] object · 10 fields
id
method-3
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 · 0 items
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 · 3 items
[0]
GSE131481
[1]
GSE147303
[2]
GSE13861
resolved_accessions array · 3 items
[0]
GSE131481
[1]
GSE147303
[2]
GSE13861
statements array · 1 item
[0]
The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).
basis
The paper names GSE131481, GSE147303, GSE13861 in NCBI 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:35655923
[1]
data:geo:GSE131481
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:GSE131481
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
2026-11-01T17:48:45Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
10358
completion_tokens
2090
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:35655923
type
paper
label
pmid:35655923
[1] object · 3 fields
id
source:pmid:35655923
type
manuscript
label
PMID 35655923 full text
[2] object · 3 fields
id
data:geo:GSE131481
type
dataset
label
GEO GSE131481
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:35655923
type
paper
label
pmid:35655923
[1] object · 3 fields
id
source:pmid:35655923
type
manuscript
label
PMID 35655923 full text
[2] object · 3 fields
id
data:geo:GSE131481
type
dataset
label
GEO GSE131481
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35655923
type
extraction
used array · 1 item
[0]
source:pmid:35655923
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE131481
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE131481
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:35655923
parent_hash
sha256:43caab6b21a79344741bb9adf8bf228cfd8fb5a7579ad1792d694065aae0fe15
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE131481 licence not read
[1]
asset:data:geo:GSE131481 not downloaded
[2]
asset:data:geo:GSE13861 licence not read
[3]
asset:data:geo:GSE13861 not downloaded
[4]
asset:data:geo:GSE147303 licence not read
[5]
asset:data:geo:GSE147303 not downloaded
[6]
execution.not_run
[7]
review.human_critique
[8]
review.independent_reader
[9]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
nd cytoHubba were also defined. Quantitative real-time PCR (qRT-PCR) was used to measure the expression
order_basis
paper_text_order:1124
id
assay:1
[1] 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 Bioconductor Limma package was useful for definitude of differentially expressing circRNAs (DEcircRNAs) and mRNAs in each dataset [12]. The edge R software package was used for screening criterion for ∣log2fold change (FC) | >1 and pvalue < 0.05 for the differential expression circRNAs (DEcircRNAs); the Venny 2.1.0 (https://bioinfogp.cnb.csic.es/tools/venny/) was used for constructing a Venn diagram to obtain differentially expressed DEcircRNAs [13].
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35655923", "kind": "science-record", "revision": 5, "content_hash": "sha256:8567f4baf1f05e881c6bdddb9b425759c68c78d893832ec50b94d6dbb92f6d02", "created_at": "2026-11-01T18:14:35Z", "updated_at": "2026-11-01T22:49:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Potential Value of Circular RNA circTBC1D4 in Gastrointestinal Stromal Tumors.", "doi": "10.1155/2022/9019097", "pmid": "35655923", "authors": ["Chunyan-Zou", "Yanpeng-He", "Changshun-Xie", "Fulai-Gao", "Xiaoli-Xie", "Xiukun-Chai", "Chenxi-He", "Dongqiang-Zhao"], "journal": "Journal of immunology research", "year": 2022, "abstract": "Aims: To explore the expression of circular RNA (circRNA) in gastrointestinal stromal tumors.\nBackground: Gastrointestinal stromal tumors (GIST) are mainly distributed in the stomach and small intestine. Recently, it has been verified that circular RNA (circRNA) has an important function in the regulation of GIST. Nevertheless, detailed investigations of circRNA-miRNA-mRNA regulatory networks in GIST are lacking.\nObjective: To analyze the gastrointestinal stromal tumor circRNA-miRNA-mRNA network, assessing the effect of circle RNA in gastrointestinal stromal tumors.\nMethod: All the differential circRNAs and mRNAs were obtained from Gene Expression Omnibus (GEO) microarray data (GSE131481 and GSE147303, GSE131481, and GSE13861). Furthermore, a circRNA-miRNA-mRNA network was established. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment were used to reveal the correlation between the functions of signaling pathways and target genes. The hub genes of protein-protein interaction (PPI) network and cytoHubba were also defined. Quantitative real-time PCR (qRT-PCR) was used to measure the expression levels of hsa-circ-0002917 (circTBC1D4), hsa-miR-590-5p (miR-590-5p), and PLN.\nResults: PPI network and Cytoscape showed that ATP1A2, PLN, KCNMA1, and SCNN1B were four central DEGs. GO analysis results revealed that DEGs were involved in negative management of myocardial contraction, regulation of myocardial cell contraction, ethanol oxidation, cellular potassium ion homeostasis, and relaxation of cardiac muscle, and KEGG analysis showed that major DEGs were with cGMP-PKG signaling pathway. Moreover, we obtained two pairs of axes, namely, hsa-circ-0039216/hsa-miR-338-3p/ATP1A2 and hsa-circ-0002917/hsa-miR-590-5p/PLN. The target of TBC1D4 is miR-590-5p, and miR-590-5p increased after knocking down TBC1D4. Moreover, PLN was the target of miR-590-5p, and miR-590-5p exerts antitumor effects by reducing PLN.\nConclusions: In this study, we constructed a circRNA-miRNA-mRNA management network interrelated with GIST and researched the potential roles of circRNA. Moreover, we discovered a new molecular landmarker for the prediction, diagnosis, and therapy of patients.", "claims": [{"id": "claim-method", "statement": "The Bioconductor Limma package was useful for definitude of differentially expressing circRNAs (DEcircRNAs) and mRNAs in each dataset [12]. The edge R software package was used for screening criterion for ∣log2fold change (FC) | >1 and pvalue < 0.05 for the differential expression circRNAs (DEcircRNAs); the Venny 2.1.0 (https://bioinfogp.cnb.csic.es/tools/venny/) was used for constructing a Venn diagram to obtain differentially expressed DEcircRNAs [13].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35655923", "locator": "sections[4] \"2.2. Differential Expression Analysis\" paragraph 2", "quote": "The Bioconductor Limma package was useful for definitude of differentially expressing circRNAs (DEcircRNAs) and mRNAs in each dataset [12]. The edge R software package was used for screening criterion for ∣log2fold change (FC) | >1 and pvalue < 0.05 for the differential expression circRNAs (DEcircRNAs); the Venny 2.1.0 (https://bioinfogp.cnb.csic.es/tools/venny/) was used for constructing a Venn diagram to obtain differentially expressed DEcircRNAs [13]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35655923", "locator": "sections[18] \"Data Availability\" paragraph 2", "quote": "The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Moreover, we obtained two pairs of axes, namely, hsa-circ-0039216/hsa-miR-338-3p/ATP1A2 and hsa-circ-0002917/hsa-miR-590-5p/PLN.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35655923", "locator": "sections[0] \"Abstract\" paragraph 5", "quote": "Moreover, we obtained two pairs of axes, namely, hsa-circ-0039216/hsa-miR-338-3p/ATP1A2 and hsa-circ-0002917/hsa-miR-590-5p/PLN."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Moreover, we obtained two pairs of axes, namely, hsa-circ-0039216/hsa-miR-338-3p/ATP1A2 and hsa-circ-0002917/hsa-miR-590-5p/PLN.", "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:35655923"], "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:GSE131481"], "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:GSE131481"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35655923", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2022/9019097", "sha256": "sha256:cda2fa0912b94130303d4488b6754324b7f2b6e1468435fb147fd04d6411c706", "bytes": 30803, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2022/9019097", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9155966", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE131481", "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=GSE131481", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE131481", "version": null, "note": "The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3781295", "GSM3781296", "GSM3781297", "GSM3781298", "GSM3781299", "GSM3781300"], "sample_count": 6, "group_sizes": null, "group_sizes_basis": null, "platform": "22120", "taxon": "Homo sapiens", "title": "CeRNA Expression Profiling Identifies KIT Related circRNAs-miRNA-mRNA Networks in Gastro-intestinal Stromal Tumors", "resolution_checked_at": "2026-11-01T18:06:43Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE13861", "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=GSE13861", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE13861", "version": null, "note": "The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM348332", "GSM348333", "GSM348334", "GSM348335", "GSM348336", "GSM348337", "GSM348338", "GSM348339", "GSM348340", "GSM348341", "GSM348342", "GSM348343", "GSM348344", "GSM348345", "GSM348346", "GSM348347", "GSM348348", "GSM348349", "GSM348350", "GSM348351", "GSM348352", "GSM348353", "GSM348354", "GSM348355", "GSM348356", "GSM348357", "GSM348358", "GSM348359", "GSM348360", "GSM348361", "GSM348362", "GSM348363", "GSM348364", "GSM348365", "GSM348366", "GSM348367", "GSM348368", "GSM348369", "GSM348370", "GSM348371", "GSM348372", "GSM348373", "GSM348374", "GSM348375", "GSM348376", "GSM348377", "GSM348378", "GSM348379", "GSM348380", "GSM348381", "GSM348382", "GSM348383", "GSM348384", "GSM348385", "GSM348386", "GSM348387", "GSM348388", "GSM348389", "GSM348390", "GSM348391", "GSM348392", "GSM348393", "GSM348394", "GSM348395", "GSM348396", "GSM348397", "GSM348398", "GSM348399", "GSM348400", "GSM348401", "GSM348402", "GSM348403", "GSM348404", "GSM348405", "GSM348406", "GSM348407", "GSM348408", "GSM348409", "GSM348410", "GSM348411", "GSM348412", "GSM348413", "GSM348414", "GSM348415", "GSM348416", "GSM348417", "GSM348418", "GSM348419", "GSM348420", "GSM348421"], "sample_count": 90, "group_sizes": null, "group_sizes_basis": null, "platform": "6884", "taxon": "Homo sapiens", "title": "Gene expression signature-based novel prognostic risk score in gastric cancer", "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:GSE147303", "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=GSE147303", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE147303", "version": null, "note": "The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4425517", "GSM4425518", "GSM4425519", "GSM4425520", "GSM4425521", "GSM4425522"], "sample_count": 6, "group_sizes": null, "group_sizes_basis": null, "platform": "21825", "taxon": "Homo sapiens", "title": "Expression of circRNAs in gastrointestinal stromal tumor", "resolution_checked_at": "2026-11-01T18:06:43Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE131481 not downloaded", "asset:data:geo:GSE131481 licence not read", "asset:data:geo:GSE13861 not downloaded", "asset:data:geo:GSE13861 licence not read", "asset:data:geo:GSE147303 not downloaded", "asset:data:geo:GSE147303 licence not read"]}, "analysis": {"state": "complete", "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 Bioconductor Limma package was useful for definitude of differentially expressing circRNAs (DEcircRNAs) and mRNAs in each dataset [12]. The edge R software package was used for screening criterion for ∣log2fold change (FC) | >1 and pvalue < 0.05 for the differential expression circRNAs (DEcircRNAs); the Venny 2.1.0 (https://bioinfogp.cnb.csic.es/tools/venny/) was used for constructing a Venn diagram to obtain differentially expressed DEcircRNAs [13]."}}, {"id": "method-2", "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-3", "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": []}, "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": ["GSE131481", "GSE147303", "GSE13861"], "resolved_accessions": ["GSE131481", "GSE147303", "GSE13861"], "statements": ["The datasets generated and/or analyzed during the current study are available in the NCBI GEO repository, GSE131481 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131481), GSE147303 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147303), and GSE13861 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13861)."], "basis": "The paper names GSE131481, GSE147303, GSE13861 in NCBI 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:35655923", "data:geo:GSE131481"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE131481"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:48:45Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 10358, "completion_tokens": 2090, "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:35655923", "type": "paper", "label": "pmid:35655923"}, {"id": "source:pmid:35655923", "type": "manuscript", "label": "PMID 35655923 full text"}, {"id": "data:geo:GSE131481", "type": "dataset", "label": "GEO GSE131481"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35655923", "type": "paper", "label": "pmid:35655923"}, {"id": "source:pmid:35655923", "type": "manuscript", "label": "PMID 35655923 full text"}, {"id": "data:geo:GSE131481", "type": "dataset", "label": "GEO GSE131481"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35655923", "type": "extraction", "used": ["source:pmid:35655923"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE131481", "type": "accession_resolution", "used": ["data:geo:GSE131481"], "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:35655923", "parent_hash": "sha256:43caab6b21a79344741bb9adf8bf228cfd8fb5a7579ad1792d694065aae0fe15", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:GSE131481 licence not read", "asset:data:geo:GSE131481 not downloaded", "asset:data:geo:GSE13861 licence not read", "asset:data:geo:GSE13861 not downloaded", "asset:data:geo:GSE147303 licence not read", "asset:data:geo:GSE147303 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["nd cytoHubba were also defined. Quantitative real-time PCR (qRT-PCR) was used to measure the expression"], "order_basis": "paper_text_order:1124", "id": "assay:1"}, {"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 Bioconductor Limma package was useful for definitude of differentially expressing circRNAs (DEcircRNAs) and mRNAs in each dataset [12]. The edge R software package was used for screening criterion for ∣log2fold change (FC) | >1 and pvalue < 0.05 for the differential expression circRNAs (DEcircRNAs); the Venny 2.1.0 (https://bioinfogp.cnb.csic.es/tools/venny/) was used for constructing a Venn diagram to obtain differentially expressed DEcircRNAs [13]."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}