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

pmid:36230465

An Integrated Bioinformatics Approach to Identify Network-Derived Hub Genes in Starving Zebrafish.

Amin Mortazavi · Mostafa Ghaderi-Zefrehei · Mustafa Muhaghegh Dolatabady · Mahdi Golshan · Sajad Nazari · Ayeh Sadat Sadr · Saeid Kadkhodaei · Ikhide G Imumorin · Sunday O Peters · Jacqueline Smith

Animals : an open access journal from MDPI · 2022 doi:10.3390/ani12192724

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:36230465
kind
science-record
content_hash
sha256:a7a35da6593609b9cc2e13bf9892a5d85f5ebc5a1fa16e19719375ca384b7155
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T18:15:35Z
updated_at
2026-11-01T22:07:49Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
An Integrated Bioinformatics Approach to Identify Network-Derived Hub Genes in Starving Zebrafish.
doi
10.3390/ani12192724
pmid
36230465
authors array · 10 items
[0]
Amin Mortazavi
[1]
Mostafa Ghaderi-Zefrehei
[2]
Mustafa Muhaghegh Dolatabady
[3]
Mahdi Golshan
[4]
Sajad Nazari
[5]
Ayeh Sadat Sadr
[6]
Saeid Kadkhodaei
[7]
Ikhide G Imumorin
[8]
Sunday O Peters
[9]
Jacqueline Smith
journal
Animals : an open access journal from MDPI
year
2022
abstract
The present study was aimed at identifying causative hub genes within modules formed by co-expression and protein-protein interaction (PPI) networks, followed by Bayesian network (BN) construction in the liver transcriptome of starved zebrafish. To this end, the GSE11107 and GSE112272 datasets from the GEO databases were downloaded and meta-analyzed using the MetaDE package, an add-on R package. Differentially expressed genes (DEGs) were identified based upon expression intensity N(µ = 0.2, σ2 = 0.4). Reconstruction of BNs was performed by the bnlearn R package on genes within modules using STRINGdb and CEMiTool. ndufs5 (shared among PPI, BN and COEX), rps26, rpl10, sdhc (shared between PPI and BN), ndufa6, ndufa10, ndufb8 (shared between PPI and COEX), skp1, atp5h, ndufb10, rpl5b, zgc:193613, zgc:123327, zgc:123178, wu:fc58f10, zgc:111986, wu:fc37b12, taldo1, wu:fb62f08, zgc:64133 and acp5a (shared between COEX and BN) were identified as causative hub genes affecting gene expression in the liver of starving zebrafish. Future work will shed light on using integrative analyses of miRNA and DNA microarrays simultaneously, and performing in silico and experimental validation of these hub-causative (CST) genes affecting starvation in zebrafish.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
The Random Effect Model (REM) method of MetaDE with FDR < 0.01 was used to integrate related samples from GSE11107 and GSE112272 datasets [39].
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36230465
locator
sections[3] "2.1. Data and Methods" paragraph 3
quote
The Random Effect Model (REM) method of MetaDE with FDR < 0.01 was used to integrate related samples from GSE11107 and GSE112272 datasets [39].
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:36230465
locator
sections[19] "notes" paragraph 1
quote
The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Meta-analysis of two GEO microarray datasets followed by co-expression, protein–protein interaction, and Bayesian network reconstruction identified causative hub genes associated with starvation in the zebrafish liver.
kind
qualitative
target
null
evidence array · 3 items
[0] object · 3 fields
asset
source:pmid:36230465
locator
sections[0] "Abstract" paragraph 2
quote
Differentially expressed genes (DEGs) were identified based upon expression intensity N(µ = 0.2, σ2 = 0.4).
[1] object · 3 fields
asset
source:pmid:36230465
locator
sections[0] "Abstract" paragraph 2
quote
Reconstruction of BNs was performed by the bnlearn R package on genes within modules using STRINGdb and CEMiTool.
[2] object · 3 fields
asset
source:pmid:36230465
locator
sections[0] "Abstract" paragraph 2
quote
ndufs5 (shared among PPI, BN and COEX), rps26, rpl10, sdhc (shared between PPI and BN), ndufa6, ndufa10, ndufb8 (shared between PPI and COEX), skp1, atp5h, ndufb10, rpl5b, zgc:193613, zgc:123327, zgc:123178, wu:fc58f10, zgc:111986, wu:fc37b12, taldo1, wu:fb62f08, zgc:64133 and acp5a (shared between COEX and BN) were identified as causative hub genes affecting gene expression in the liver of starving zebrafish.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Meta-analysis of two GEO microarray datasets followed by co-expression, protein–protein interaction, and Bayesian network reconstruction identified causative hub genes associated with starvation in the zebrafish liver.
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:36230465
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:GSE11107
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:GSE11107
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:36230465
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3390/ani12192724
sha256
sha256:d165491689216fbae2fed2854a42725f805b6a42b0402ab88340e01d4caa9b23
bytes
27084
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3390/ani12192724
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
PMC9559487
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE11107
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=GSE11107
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE11107
version
null
note
The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).
access_statement_kind
data_availability_statement
sample_accessions array · 18 items
[0]
GSM280425
[1]
GSM280426
[2]
GSM280427
[3]
GSM280428
[4]
GSM280429
[5]
GSM280430
[6]
GSM280431
[7]
GSM280432
[8]
GSM280434
[9]
GSM280435
[10]
GSM280436
[11]
GSM280437
[12]
GSM280438
[13]
GSM280439
[14]
GSM280440
[15]
GSM280441
[16]
GSM280442
[17]
GSM280443
sample_count
18
group_sizes
null
group_sizes_basis
null
platform
1319
taxon
Danio rerio
title
Effect of starvation on the transcriptomes of the brain and liver in adult female zebrafish (Danio rerio)
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE112272
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=GSE112272
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE112272
version
null
note
The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).
access_statement_kind
data_availability_statement
sample_accessions array · 16 items
[0]
GSM3064825
[1]
GSM3064826
[2]
GSM3064827
[3]
GSM3064828
[4]
GSM3064829
[5]
GSM3064830
[6]
GSM3064831
[7]
GSM3064832
[8]
GSM3064833
[9]
GSM3064834
[10]
GSM3064835
[11]
GSM3064836
[12]
GSM3064837
[13]
GSM3064838
[14]
GSM3064839
[15]
GSM3064840
sample_count
16
group_sizes
null
group_sizes_basis
null
platform
14664
taxon
Danio rerio
title
Development of gene expression signatures during fasting and refeeding (compensatory growth) for zebrafish liver
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 4 items
[0]
asset:data:geo:GSE11107 not downloaded
[1]
asset:data:geo:GSE11107 licence not read
[2]
asset:data:geo:GSE112272 not downloaded
[3]
asset:data:geo:GSE112272 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
family
meta_analysis
specific
random_effects
label
Meta-analysis / evidence synthesis
dsl_operations array · 1 item
[0]
random_effects_pool
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
study_level_effect_estimates
evidence object · 3 fields
score
1
band
verbatim
quote
The Random Effect Model (REM) method of MetaDE with FDR < 0.01 was used to integrate related samples from GSE11107 and GSE112272 datasets [39].
[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
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 · 1 item
[0]
random_effects_pool
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: random_effects.
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]
GSE11107
[1]
GSE112272
resolved_accessions array · 2 items
[0]
GSE11107
[1]
GSE112272
statements array · 1 item
[0]
The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).
basis
The paper names GSE11107, GSE112272 in GEO database of the NCBI and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
random_effects_pool
assets array · 2 items
[0]
source:pmid:36230465
[1]
data:geo:GSE11107
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:GSE11107
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
2026-11-01T18:10:36Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
8250
completion_tokens
2449
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:36230465
type
paper
label
pmid:36230465
[1] object · 3 fields
id
source:pmid:36230465
type
manuscript
label
PMID 36230465 full text
[2] object · 3 fields
id
data:geo:GSE11107
type
dataset
label
GEO GSE11107
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:36230465
type
paper
label
pmid:36230465
[1] object · 3 fields
id
source:pmid:36230465
type
manuscript
label
PMID 36230465 full text
[2] object · 3 fields
id
data:geo:GSE11107
type
dataset
label
GEO GSE11107
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36230465
type
extraction
used array · 1 item
[0]
source:pmid:36230465
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE11107
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE11107
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:36230465
parent_hash
sha256:ca9ce41e399f686bd951a37becabb014fbda19f656d11d6334b911cb4e9f7599
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE11107 licence not read
[1]
asset:data:geo:GSE11107 not downloaded
[2]
asset:data:geo:GSE112272 licence not read
[3]
asset:data:geo:GSE112272 not downloaded
[4]
execution.not_run
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
meta_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
random_effects_pool
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The Random Effect Model (REM) method of MetaDE with FDR < 0.01 was used to integrate related samples from GSE11107 and GSE112272 datasets [39].
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:36230465", "kind": "science-record", "revision": 4, "content_hash": "sha256:a7a35da6593609b9cc2e13bf9892a5d85f5ebc5a1fa16e19719375ca384b7155", "created_at": "2026-11-01T18:15:35Z", "updated_at": "2026-11-01T22:07:49Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "An Integrated Bioinformatics Approach to Identify Network-Derived Hub Genes in Starving Zebrafish.", "doi": "10.3390/ani12192724", "pmid": "36230465", "authors": ["Amin Mortazavi", "Mostafa Ghaderi-Zefrehei", "Mustafa Muhaghegh Dolatabady", "Mahdi Golshan", "Sajad Nazari", "Ayeh Sadat Sadr", "Saeid Kadkhodaei", "Ikhide G Imumorin", "Sunday O Peters", "Jacqueline Smith"], "journal": "Animals : an open access journal from MDPI", "year": 2022, "abstract": "The present study was aimed at identifying causative hub genes within modules formed by co-expression and protein-protein interaction (PPI) networks, followed by Bayesian network (BN) construction in the liver transcriptome of starved zebrafish. To this end, the GSE11107 and GSE112272 datasets from the GEO databases were downloaded and meta-analyzed using the MetaDE package, an add-on R package. Differentially expressed genes (DEGs) were identified based upon expression intensity N(µ = 0.2, σ2 = 0.4). Reconstruction of BNs was performed by the bnlearn R package on genes within modules using STRINGdb and CEMiTool. ndufs5 (shared among PPI, BN and COEX), rps26, rpl10, sdhc (shared between PPI and BN), ndufa6, ndufa10, ndufb8 (shared between PPI and COEX), skp1, atp5h, ndufb10, rpl5b, zgc:193613, zgc:123327, zgc:123178, wu:fc58f10, zgc:111986, wu:fc37b12, taldo1, wu:fb62f08, zgc:64133 and acp5a (shared between COEX and BN) were identified as causative hub genes affecting gene expression in the liver of starving zebrafish. Future work will shed light on using integrative analyses of miRNA and DNA microarrays simultaneously, and performing in silico and experimental validation of these hub-causative (CST) genes affecting starvation in zebrafish.", "claims": [{"id": "claim-method", "statement": "The Random Effect Model (REM) method of MetaDE with FDR < 0.01 was used to integrate related samples from GSE11107 and GSE112272 datasets [39].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36230465", "locator": "sections[3] \"2.1. Data and Methods\" paragraph 3", "quote": "The Random Effect Model (REM) method of MetaDE with FDR < 0.01 was used to integrate related samples from GSE11107 and GSE112272 datasets [39]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36230465", "locator": "sections[19] \"notes\" paragraph 1", "quote": "The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018))."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Meta-analysis of two GEO microarray datasets followed by co-expression, protein–protein interaction, and Bayesian network reconstruction identified causative hub genes associated with starvation in the zebrafish liver.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36230465", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Differentially expressed genes (DEGs) were identified based upon expression intensity N(µ = 0.2, σ2 = 0.4)."}, {"asset": "source:pmid:36230465", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Reconstruction of BNs was performed by the bnlearn R package on genes within modules using STRINGdb and CEMiTool."}, {"asset": "source:pmid:36230465", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "ndufs5 (shared among PPI, BN and COEX), rps26, rpl10, sdhc (shared between PPI and BN), ndufa6, ndufa10, ndufb8 (shared between PPI and COEX), skp1, atp5h, ndufb10, rpl5b, zgc:193613, zgc:123327, zgc:123178, wu:fc58f10, zgc:111986, wu:fc37b12, taldo1, wu:fb62f08, zgc:64133 and acp5a (shared between COEX and BN) were identified as causative hub genes affecting gene expression in the liver of starving zebrafish."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Meta-analysis of two GEO microarray datasets followed by co-expression, protein–protein interaction, and Bayesian network reconstruction identified causative hub genes associated with starvation in the zebrafish liver.", "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:36230465"], "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:GSE11107"], "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:GSE11107"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36230465", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/ani12192724", "sha256": "sha256:d165491689216fbae2fed2854a42725f805b6a42b0402ab88340e01d4caa9b23", "bytes": 27084, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/ani12192724", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9559487", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE11107", "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=GSE11107", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE11107", "version": null, "note": "The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM280425", "GSM280426", "GSM280427", "GSM280428", "GSM280429", "GSM280430", "GSM280431", "GSM280432", "GSM280434", "GSM280435", "GSM280436", "GSM280437", "GSM280438", "GSM280439", "GSM280440", "GSM280441", "GSM280442", "GSM280443"], "sample_count": 18, "group_sizes": null, "group_sizes_basis": null, "platform": "1319", "taxon": "Danio rerio", "title": "Effect of starvation on the transcriptomes of the brain and liver in adult female zebrafish (Danio rerio)", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE112272", "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=GSE112272", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE112272", "version": null, "note": "The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018)).", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3064825", "GSM3064826", "GSM3064827", "GSM3064828", "GSM3064829", "GSM3064830", "GSM3064831", "GSM3064832", "GSM3064833", "GSM3064834", "GSM3064835", "GSM3064836", "GSM3064837", "GSM3064838", "GSM3064839", "GSM3064840"], "sample_count": 16, "group_sizes": null, "group_sizes_basis": null, "platform": "14664", "taxon": "Danio rerio", "title": "Development of gene expression signatures during fasting and refeeding (compensatory growth) for zebrafish liver", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE11107 not downloaded", "asset:data:geo:GSE11107 licence not read", "asset:data:geo:GSE112272 not downloaded", "asset:data:geo:GSE112272 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "meta_analysis", "specific": "random_effects", "label": "Meta-analysis / evidence synthesis", "dsl_operations": ["random_effects_pool"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["study_level_effect_estimates"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The Random Effect Model (REM) method of MetaDE with FDR < 0.01 was used to integrate related samples from GSE11107 and GSE112272 datasets [39]."}}, {"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"}}], "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": ["random_effects_pool"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: random_effects."}, "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": ["GSE11107", "GSE112272"], "resolved_accessions": ["GSE11107", "GSE112272"], "statements": ["The data that support the findings of this article are available from GEO database of the NCBI with accession number GSE11107 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11107 (accessed on 9 April 2018)) and GSE112272 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi (accessed on 23 March 2018))."], "basis": "The paper names GSE11107, GSE112272 in GEO database of the NCBI and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["random_effects_pool"], "assets": ["source:pmid:36230465", "data:geo:GSE11107"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE11107"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:10:36Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 8250, "completion_tokens": 2449, "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:36230465", "type": "paper", "label": "pmid:36230465"}, {"id": "source:pmid:36230465", "type": "manuscript", "label": "PMID 36230465 full text"}, {"id": "data:geo:GSE11107", "type": "dataset", "label": "GEO GSE11107"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36230465", "type": "paper", "label": "pmid:36230465"}, {"id": "source:pmid:36230465", "type": "manuscript", "label": "PMID 36230465 full text"}, {"id": "data:geo:GSE11107", "type": "dataset", "label": "GEO GSE11107"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36230465", "type": "extraction", "used": ["source:pmid:36230465"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE11107", "type": "accession_resolution", "used": ["data:geo:GSE11107"], "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:36230465", "parent_hash": "sha256:ca9ce41e399f686bd951a37becabb014fbda19f656d11d6334b911cb4e9f7599", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE11107 licence not read", "asset:data:geo:GSE11107 not downloaded", "asset:data:geo:GSE112272 licence not read", "asset:data:geo:GSE112272 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "meta_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["random_effects_pool"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The Random Effect Model (REM) method of MetaDE with FDR < 0.01 was used to integrate related samples from GSE11107 and GSE112272 datasets [39]."], "order_basis": "analysis_only", "id": "assay:1"}]}