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pmid:25496472

Microarray analysis for differentially expressed genes of patients undergoing total knee arthroplasty with ischemia preconditioning.

Jianguang Wang · Zhengdong Cai · Junjian Liu

Journal of orthopaedic surgery and research · 2014 doi:10.1186/s13018-014-0133-0

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complete

Experiment

complete

Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:25496472
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title
Microarray analysis for differentially expressed genes of patients undergoing total knee arthroplasty with ischemia preconditioning.
doi
10.1186/s13018-014-0133-0
pmid
25496472
authors array · 3 items
[0]
Jianguang Wang
[1]
Zhengdong Cai
[2]
Junjian Liu
journal
Journal of orthopaedic surgery and research
year
2014
abstract
BACKGROUND: Ischemia preconditioning (IPC) has been proved as a powerful method of protecting tissues against ischemia reperfusion insults. We aimed to elucidate the mechanism of IPC in ischemia reperfused tissues. METHODS: GSE21164 containing 16 muscle biopsies taken from the operative knee of four IPC-treated patients and four control at the onset of surgery (T¿=¿0) and 1 h into surgery (T¿=¿1) undergoing primary total knee arthroplasty was downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between IPC group and control were screened with Limma package in R language. KEGG pathway enrichment analysis was performed by the DAVID online tool. Meanwhile, potential regulatory microRNAs (miRNAs) for downregulated DEGs and targets of transcription factors for upregulated DEGs were screened out. Based on the above DEGs, protein-protein interaction (PPI) networks were constructed by the STRING software. RESULTS: Significantly upregulated DEGs at T1 were mainly enriched in asthma and p53 signaling pathway. Meanwhile, significantly enriched transcriptional factor NOTCH1 at T1 and GABP at T0 were obtained. Moreover, miRNA analysis showed that targets of miR141/200a were enriched in downregulated DEGs both at T0 and T1. Mostly, RPA1 and JAK2 in PPI network at T1 were with higher degree. CONCLUSIONS: In our study, obtained DEGs, regulatory transcriptional factors, and miRNA might play a vital role in the protection of ischemia reperfusion injury. This finding will provide a deeper understanding to the mechanism of IPC.
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To identify DEGs between the IPC group and the control, the empirical Bayes test (implemented in Linear Models for Microarray Data (Limma) package [25]) was applied in our analysis.
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sections[4] "Date preprocessing and DEGs screening" paragraph 2
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To identify DEGs between the IPC group and the control, the empirical Bayes test (implemented in Linear Models for Microarray Data (Limma) package [25]) was applied in our analysis.
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GSE21164 containing 16 muscle biopsies taken from the operative knee of four IPC-treated patients and four control at the onset of surgery (T = 0) and 1 h into surgery (T = 1) undergoing primary total knee arthroplasty was downloaded from the Gene Expression Omnibus (GEO) database.
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GSE21164 containing 16 muscle biopsies taken from the operative knee of four IPC-treated patients and four control at the onset of surgery (T = 0) and 1 h into surgery (T = 1) undergoing primary total knee arthroplasty was downloaded from the Gene Expression Omnibus (GEO) database.
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Using GSE21164 downloaded from the Gene Expression Omnibus, the authors screened differentially expressed genes with the Limma package in R; the headline biological result was that significantly upregulated DEGs at T1 were mainly enriched in asthma and the p53 signaling pathway.
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sections[0] "Abstract" paragraph 2
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GSE21164 containing 16 muscle biopsies taken from the operative knee of four IPC-treated patients and four control at the onset of surgery (T = 0) and 1 h into surgery (T = 1) undergoing primary total knee arthroplasty was downloaded from the Gene Expression Omnibus (GEO) database.
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Differentially expressed genes (DEGs) between IPC group and control were screened with Limma package in R language.
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Significantly upregulated DEGs at T1 were mainly enriched in asthma and p53 signaling pathway.
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Using GSE21164 downloaded from the Gene Expression Omnibus, the authors screened differentially expressed genes with the Limma package in R; the headline biological result was that significantly upregulated DEGs at T1 were mainly enriched in asthma and the p53 signaling pathway.
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Degree of differentially expressed genes in protein-protein interaction network both at the onset of surgery ( T = 0) and 1 h into the surgery ( T = 1)
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Results of KEGG pathway enrichment analysis of up- and downregulated genes both at the onset of surgery ( T = 0) and 1 h into the surgery ( T = 1)
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Results of KEGG pathway enrichment analysis of up- and downregulated genes both at the onset of surgery ( T = 0) and 1 h into the surgery ( T = 1)
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Enriched targets of transcriptional factors in upregulated differentially expressed genes both at the onset of surgery ( T = 0) and 1 h into the surgery ( T = 1)
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Enriched potential regulatory microRNAs for targeting downregulated differentially expressed genes both at the onset of surgery ( T = 0) and 1 h into the surgery ( T = 1)
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Degree of differentially expressed genes in protein-protein interaction network both at the onset of surgery ( T = 0) and 1 h into the surgery ( T = 1)
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Construction of PPI network
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Degree of differentially expressed genes in protein-protein interaction network both at the onset of surgery ( T = 0) and 1 h into the surgery ( T = 1)
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Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
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data_shapes array · 1 item
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count_matrix_with_condition
evidence object · 3 fields
score
1
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verbatim
quote
To identify DEGs between the IPC group and the control, the empirical Bayes test (implemented in Linear Models for Microarray Data (Limma) package [25]) was applied in our analysis.
[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
0.7
band
medium
quote
pathway 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
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tier
R1
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true
required_operations array · 3 items
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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
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true
accessions array · 1 item
[0]
GSE21164
resolved_accessions array · 1 item
[0]
GSE21164
statements array · 1 item
[0]
GSE21164 containing 16 muscle biopsies taken from the operative knee of four IPC-treated patients and four control at the onset of surgery (T = 0) and 1 h into surgery (T = 1) undergoing primary total knee arthroplasty was downloaded from the Gene Expression Omnibus (GEO) database.
basis
The paper names GSE21164 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 7 items
[0]
source:pmid:25496472
[1]
data:geo:GSE21164
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asset:table:pmid:25496472:1
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asset:table:pmid:25496472:2
[4]
asset:table:pmid:25496472:3
[5]
asset:table:pmid:25496472:4
[6]
asset:table:pmid:25496472:5
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
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readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE21164
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
2026-10-31T18:23:26Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
null
calls
8
usage object · 3 fields
prompt_tokens
46011
completion_tokens
3241
cached_tokens
6680
stages array · 1 item
[0] object · 4 fields
id
extraction
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complete
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MiniMax-M3.1-Flash
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minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
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absent
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not_run
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null
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
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pmid:25496472
type
paper
label
pmid:25496472
[1] object · 3 fields
id
source:pmid:25496472
type
manuscript
label
PMID 25496472 full text
[2] object · 3 fields
id
data:geo:GSE21164
type
dataset
label
GEO GSE21164
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:25496472
type
paper
label
pmid:25496472
[1] object · 3 fields
id
source:pmid:25496472
type
manuscript
label
PMID 25496472 full text
[2] object · 3 fields
id
data:geo:GSE21164
type
dataset
label
GEO GSE21164
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-25496472
type
extraction
used array · 1 item
[0]
source:pmid:25496472
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE21164
type
accession_resolution
used array · 1 item
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data:geo:GSE21164
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agent:corpus-assay-engine
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[0] object · 3 fields
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agent:corpus-assay-engine
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software
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Corpus assay engine
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agent:minimax-reader
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software
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MiniMax literature reader
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reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
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ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:25496472
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sha256:e79afee3bc1bac00483523f2353e3918bddee2f650bc954b0bf088cc66743fcb
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null
gaps array · 6 items
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asset:data:geo:GSE21164 licence not read
[1]
asset:data:geo:GSE21164 not downloaded
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[4]
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[5]
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assays array · 2 items
[0] object · 11 fields
role
data_generation
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microarray
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99e1195c7d6f
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assay_lexicon
99e1195c7d6f
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0.93
evidence array · 1 item
[0]
Microarray analysis for differentially expressed genes
order_basis
paper_text_order:0
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assay:1
[1] object · 11 fields
role
analysis
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differential_expression
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f2132e96ae6c7a4e
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[1]
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fdr_bh
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
To identify DEGs between the IPC group and the control, the empirical Bayes test (implemented in Linear Models for Microarray Data (Limma) package [25]) was applied in our analysis.
order_basis
consumes_earlier_output
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:25496472", "kind": "science-record", "revision": 9, "content_hash": "sha256:0a888707cdab7cba4776c829137e2cba536386c246c5fe473fabd03b2049c354", "created_at": "2026-11-01T15:40:07Z", "updated_at": "2026-11-01T22:42:10Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Microarray analysis for differentially expressed genes of patients undergoing total knee arthroplasty with ischemia preconditioning.", "doi": "10.1186/s13018-014-0133-0", "pmid": "25496472", "authors": ["Jianguang Wang", "Zhengdong Cai", "Junjian Liu"], "journal": "Journal of orthopaedic surgery and research", "year": 2014, "abstract": "BACKGROUND: Ischemia preconditioning (IPC) has been proved as a powerful method of protecting tissues against ischemia reperfusion insults. We aimed to elucidate the mechanism of IPC in ischemia reperfused tissues.\nMETHODS: GSE21164 containing 16 muscle biopsies taken from the operative knee of four IPC-treated patients and four control at the onset of surgery (T¿=¿0) and 1 h into surgery (T¿=¿1) undergoing primary total knee arthroplasty was downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between IPC group and control were screened with Limma package in R language. KEGG pathway enrichment analysis was performed by the DAVID online tool. Meanwhile, potential regulatory microRNAs (miRNAs) for downregulated DEGs and targets of transcription factors for upregulated DEGs were screened out. Based on the above DEGs, protein-protein interaction (PPI) networks were constructed by the STRING software.\nRESULTS: Significantly upregulated DEGs at T1 were mainly enriched in asthma and p53 signaling pathway. Meanwhile, significantly enriched transcriptional factor NOTCH1 at T1 and GABP at T0 were obtained. Moreover, miRNA analysis showed that targets of miR141/200a were enriched in downregulated DEGs both at T0 and T1. Mostly, RPA1 and JAK2 in PPI network at T1 were with higher degree.\nCONCLUSIONS: In our study, obtained DEGs, regulatory transcriptional factors, and miRNA might play a vital role in the protection of ischemia reperfusion injury. This finding will provide a deeper understanding to the mechanism of IPC.", "claims": [{"id": "claim-method", "statement": "To identify DEGs between the IPC group and the control, the empirical Bayes test (implemented in Linear Models for Microarray Data (Limma) package [25]) was applied in our analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:25496472", "locator": "sections[4] \"Date preprocessing and DEGs screening\" paragraph 2", "quote": "To identify DEGs between the IPC group and the control, the empirical Bayes test (implemented in Linear Models for Microarray Data (Limma) package [25]) was applied in our analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "GSE21164 containing 16 muscle biopsies taken from the operative knee of four IPC-treated patients and four control at the onset of surgery (T = 0) and 1 h into surgery (T = 1) undergoing primary total knee arthroplasty was downloaded from the Gene Expression Omnibus (GEO) database.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:25496472", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "GSE21164 containing 16 muscle biopsies taken from the operative knee of four IPC-treated patients and four control at the onset of surgery (T = 0) and 1 h into surgery (T = 1) undergoing primary total knee arthroplasty was downloaded from the Gene Expression Omnibus (GEO) database."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using GSE21164 downloaded from the Gene Expression Omnibus, the authors screened differentially expressed genes with the Limma package in R; the headline biological result was that significantly upregulated DEGs at T1 were mainly enriched in asthma and the p53 signaling pathway.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:25496472", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "GSE21164 containing 16 muscle biopsies taken from the operative knee of four IPC-treated patients and four control at the onset of surgery (T = 0) and 1 h into surgery (T = 1) undergoing primary total knee arthroplasty was downloaded from the Gene Expression Omnibus (GEO) database."}, {"asset": "source:pmid:25496472", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Differentially expressed genes (DEGs) between IPC group and control were screened with Limma package in R language."}, {"asset": "source:pmid:25496472", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Significantly upregulated DEGs at T1 were mainly enriched in asthma and p53 signaling pathway."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using GSE21164 downloaded from the Gene Expression Omnibus, the authors screened differentially expressed genes with the Limma package in R; the headline biological result was that significantly upregulated DEGs at T1 were mainly enriched in asthma and the p53 signaling pathway.", "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:25496472"], "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:GSE21164"], "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:GSE21164"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:25496472", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s13018-014-0133-0", "sha256": 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