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pmid:37223217

Transcriptome Analysis Identifies Biomarkers for the Diagnosis and Management of Psoriasis Complicated with Depression.

Xichun Xia · Hai Yu · Yanxiang Li · Yunting Liang · Guangqiang Li · Fang Huang

Clinical, cosmetic and investigational dermatology · 2023 doi:10.2147/CCID.S413887

Paper

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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title
Transcriptome Analysis Identifies Biomarkers for the Diagnosis and Management of Psoriasis Complicated with Depression.
doi
10.2147/CCID.S413887
pmid
37223217
authors array · 6 items
[0]
Xichun Xia
[1]
Hai Yu
[2]
Yanxiang Li
[3]
Yunting Liang
[4]
Guangqiang Li
[5]
Fang Huang
journal
Clinical, cosmetic and investigational dermatology
year
2023
abstract
Purpose: Psoriasis is a systemic inflammatory disease, and the mechanism that links psoriasis to depression is still elusive. Hence, this study aimed to elucidate the potential pathogenesis of psoriasis and depression comorbidity. Methods: The gene expression profiles of psoriasis (GSE34248, GSE78097 and GSE161683) and depression (GSE39653) were downloaded from the Gene Expression Omnibus (GEO) DataSets. Functional annotation, protein-protein interaction (PPI) network and module construction, and hub gene identification and co-expression analysis were performed, following identification of the common differentially expressed genes (DEGs) of psoriasis and depression. Results: A total of 115 common DEGs (55 up-regulated and 60 down-regulated) were identified between psoriasis and depression. Functional analysis indicated that T cell activation and differentiation were predominantly implicated in the potential pathogenesis of these two diseases. In addition, Th17 cell differentiation and cytokines is closely related to both. Finally, 17 hub genes were screened, including CTLA4, LCK, ITK, IL7R, CD3D, SOCS1, IL4R, PRKCQ, SOCS3, IL23A, PDGFB, PAG1, TGFA, FGFR1, RELN, ITGB5 and TNXB, which re-emphasized the importance of the immune system in psoriasis and depression. Conclusion: Our study reveals the common pathogenesis of psoriasis and depression. These common pathways and hub genes may apply to a molecular screening tool for depression in psoriasis patients, which could help dermatologists optimize patient management in routine care.
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GEO2R (www.ncbi.nlm.nih.gov/geo/ge2r) is an interactive web tool developed based on GEOquery and Limma package. DEGs of psoriasis and depression group were respectively identified using GEO2R with adjusted P-value < 0.05 and |logFC (fold change)| ≥ 1.
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sections[4] "Identification of DEGs" paragraph 2
quote
GEO2R (www.ncbi.nlm.nih.gov/geo/ge2r) is an interactive web tool developed based on GEOquery and Limma package. DEGs of psoriasis and depression group were respectively identified using GEO2R with adjusted P-value < 0.05 and |logFC (fold change)| ≥ 1.
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GSE34248 (14 psoriasis patients and 14 controls), GSE78097 (13 psoriasis patients and 6 controls), GSE161683 (9 psoriasis patients and 9 controls) and GSE137218 (14 psoriasis patients and 14 controls) were screened as psoriasis datasets,28–30 in which the tissue type is skin lesion from psoriasis patients. Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. GSE34248, GSE78097, GSE161683 and GSE39653 were used to screen DEGs, while GSE137218 and GSE98793 were used for hub gene expression validation.
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sections[3] "Data Source" paragraph 2
quote
GSE34248 (14 psoriasis patients and 14 controls), GSE78097 (13 psoriasis patients and 6 controls), GSE161683 (9 psoriasis patients and 9 controls) and GSE137218 (14 psoriasis patients and 14 controls) were screened as psoriasis datasets,28–30 in which the tissue type is skin lesion from psoriasis patients. Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. GSE34248, GSE78097, GSE161683 and GSE39653 were used to screen DEGs, while GSE137218 and GSE98793 were used for hub gene expression validation.
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The study identified 115 common differentially expressed genes between psoriasis and depression.
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A total of 115 common DEGs (55 up-regulated and 60 down-regulated) were identified between psoriasis and depression.
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The study identified 115 common differentially expressed genes between psoriasis and depression.
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GSM2066667
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null
platform
570
taxon
Homo sapiens
title
The spectrum of mild-to-severe psoriasis vulgaris is defined by a common activation of IL-17 pathway genes, but with key differences in immune regulatory genes
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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licence_read
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[6] object · 15 fields
id
data:geo:GSE98793
role
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98793
sha256
null
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null
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version
null
note
GSE34248 (14 psoriasis patients and 14 controls), GSE78097 (13 psoriasis patients and 6 controls), GSE161683 (9 psoriasis patients and 9 controls) and GSE137218 (14 psoriasis patients and 14 controls) were screened as psoriasis datasets,28–30 in which the tissue type is skin lesion from psoriasis patients. Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. GSE34248, GSE78097, GSE161683 and GSE39653 were used to screen DEGs, while GSE137218 and GSE98793 were used for hub gene expression validation.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
GSE34248 (14 psoriasis patients and 14 controls), GSE78097 (13 psoriasis patients and 6 controls), GSE161683 (9 psoriasis patients and 9 controls) and GSE137218 (14 psoriasis patients and 14 controls) were screened as psoriasis datasets,28–30 in which the tissue type is skin lesion from psoriasis patients. Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. GSE34248, GSE78097, GSE161683 and GSE39653 were used to screen DEGs, while GSE137218 and GSE98793 were used for hub gene expression validation.
access_statement_kind
repository_route_statement
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sample_count
192
group_sizes
null
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null
platform
570
taxon
Homo sapiens
title
Gene expression analysis in whole blood samples obtained from donors diagnosed with MDD compared to healthy controls
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
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licence_read
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[5]
asset:data:geo:GSE34248 licence not read
[6]
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[7]
asset:data:geo:GSE39653 licence not read
[8]
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[9]
asset:data:geo:GSE78097 licence not read
[10]
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[11]
asset:data:geo:GSE98793 licence not read
analysis object · 4 fields
state
complete
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[0] object · 10 fields
id
method-1
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differential_expression
specific
limma_voom
label
Differential expression analysis
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[0]
normalise_counts
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[2]
fdr_bh
missing_operations array · 0 items
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count_matrix_with_condition
evidence object · 3 fields
score
1
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verbatim
quote
GEO2R (www.ncbi.nlm.nih.gov/geo/ge2r) is an interactive web tool developed based on GEOquery and Limma package. DEGs of psoriasis and depression group were respectively identified using GEO2R with adjusted P-value < 0.05 and |logFC (fold change)| ≥ 1.
[1] object · 10 fields
id
method-2
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network_analysis
specific
ppi_network
label
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[0]
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evidence object · 3 fields
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quote
protein-protein interaction
[2] object · 10 fields
id
method-3
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network_analysis
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Network / pathway analysis
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[0]
pathway_enrich
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parameters object · 0 fields
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quote
Pathway Enrichment
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state
complete
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[0] object · 6 fields
capability_id
capability:computational_analysis
label
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[0]
meta_analysis
[1]
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[2]
survival_analysis
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[6]
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[7]
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[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
state
complete
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nothing:replicable_now
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
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tier
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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 · 6 items
[0]
GSE34248
[1]
GSE78097
[2]
GSE161683
[3]
GSE39653
[4]
GSE137218
[5]
GSE98793
resolved_accessions array · 6 items
[0]
GSE34248
[1]
GSE78097
[2]
GSE161683
[3]
GSE39653
[4]
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[5]
GSE98793
statements array · 1 item
[0]
GSE34248 (14 psoriasis patients and 14 controls), GSE78097 (13 psoriasis patients and 6 controls), GSE161683 (9 psoriasis patients and 9 controls) and GSE137218 (14 psoriasis patients and 14 controls) were screened as psoriasis datasets,28–30 in which the tissue type is skin lesion from psoriasis patients. Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. GSE34248, GSE78097, GSE161683 and GSE39653 were used to screen DEGs, while GSE137218 and GSE98793 were used for hub gene expression validation.
basis
The paper names GSE34248, GSE78097, GSE161683, GSE39653, GSE137218, GSE98793 in Gene Expression Omnibus (GEO) DataSets and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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source:pmid:37223217
[1]
data:geo:GSE137218
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[0]
run_analysis
must_build object · 5 fields
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readers array · 0 items
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[0]
data:geo:GSE137218
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extraction_review
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minimax
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minimax
read_at
2026-11-01T18:41:33Z
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single_reader
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verbatim
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null
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5
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[0] object · 4 fields
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extraction
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[0] object · 3 fields
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pmid:37223217
type
paper
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pmid:37223217
[1] object · 3 fields
id
source:pmid:37223217
type
manuscript
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PMID 37223217 full text
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id
data:geo:GSE137218
type
dataset
label
GEO GSE137218
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[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
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source:pmid:37223217
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data:geo:GSE137218
type
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GEO GSE137218
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agent:corpus-assay-engine
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[0]
source:pmid:37223217
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agent:minimax-reader
[2] object · 4 fields
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activity-resolve-GSE137218
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used array · 1 item
[0]
data:geo:GSE137218
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agent:corpus-assay-engine
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dsl_catalogue_fingerprint
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lineage object · 4 fields
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pmid:37223217
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sha256:274cc4f196bec8169eb1ee679694f343a649466997f74afdf48acdae122e0ec1
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null
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[3]
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[5]
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[6]
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[7]
asset:data:geo:GSE39653 not downloaded
[8]
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[9]
asset:data:geo:GSE78097 not downloaded
[10]
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[11]
asset:data:geo:GSE98793 not downloaded
[12]
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[13]
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[14]
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differential_expression
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
GEO2R (www.ncbi.nlm.nih.gov/geo/ge2r) is an interactive web tool developed based on GEOquery and Limma package. DEGs of psoriasis and depression group were respectively identified using GEO2R with adjusted P-value < 0.05 and |logFC (fold change)| ≥ 1.
order_basis
analysis_only
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37223217", "kind": "science-record", "revision": 4, "content_hash": "sha256:1b8eec4f12c42e0b84fa46338b52c75b5053835621afd12514aa4531a5eb4b28", "created_at": "2026-11-01T19:01:55Z", "updated_at": "2026-11-01T22:51:58Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Transcriptome Analysis Identifies Biomarkers for the Diagnosis and Management of Psoriasis Complicated with Depression.", "doi": "10.2147/CCID.S413887", "pmid": "37223217", "authors": ["Xichun Xia", "Hai Yu", "Yanxiang Li", "Yunting Liang", "Guangqiang Li", "Fang Huang"], "journal": "Clinical, cosmetic and investigational dermatology", "year": 2023, "abstract": "Purpose: Psoriasis is a systemic inflammatory disease, and the mechanism that links psoriasis to depression is still elusive. Hence, this study aimed to elucidate the potential pathogenesis of psoriasis and depression comorbidity.\nMethods: The gene expression profiles of psoriasis (GSE34248, GSE78097 and GSE161683) and depression (GSE39653) were downloaded from the Gene Expression Omnibus (GEO) DataSets. Functional annotation, protein-protein interaction (PPI) network and module construction, and hub gene identification and co-expression analysis were performed, following identification of the common differentially expressed genes (DEGs) of psoriasis and depression.\nResults: A total of 115 common DEGs (55 up-regulated and 60 down-regulated) were identified between psoriasis and depression. Functional analysis indicated that T cell activation and differentiation were predominantly implicated in the potential pathogenesis of these two diseases. In addition, Th17 cell differentiation and cytokines is closely related to both. Finally, 17 hub genes were screened, including CTLA4, LCK, ITK, IL7R, CD3D, SOCS1, IL4R, PRKCQ, SOCS3, IL23A, PDGFB, PAG1, TGFA, FGFR1, RELN, ITGB5 and TNXB, which re-emphasized the importance of the immune system in psoriasis and depression.\nConclusion: Our study reveals the common pathogenesis of psoriasis and depression. These common pathways and hub genes may apply to a molecular screening tool for depression in psoriasis patients, which could help dermatologists optimize patient management in routine care.", "claims": [{"id": "claim-method", "statement": "GEO2R (www.ncbi.nlm.nih.gov/geo/ge2r) is an interactive web tool developed based on GEOquery and Limma package. DEGs of psoriasis and depression group were respectively identified using GEO2R with adjusted P-value < 0.05 and |logFC (fold change)| ≥ 1.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37223217", "locator": "sections[4] \"Identification of DEGs\" paragraph 2", "quote": "GEO2R (www.ncbi.nlm.nih.gov/geo/ge2r) is an interactive web tool developed based on GEOquery and Limma package. DEGs of psoriasis and depression group were respectively identified using GEO2R with adjusted P-value < 0.05 and |logFC (fold change)| ≥ 1."}], "state": "complete"}, {"id": "claim-data-access", "statement": "GSE34248 (14 psoriasis patients and 14 controls), GSE78097 (13 psoriasis patients and 6 controls), GSE161683 (9 psoriasis patients and 9 controls) and GSE137218 (14 psoriasis patients and 14 controls) were screened as psoriasis datasets,28–30 in which the tissue type is skin lesion from psoriasis patients. Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. GSE34248, GSE78097, GSE161683 and GSE39653 were used to screen DEGs, while GSE137218 and GSE98793 were used for hub gene expression validation.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37223217", "locator": "sections[3] \"Data Source\" paragraph 2", "quote": "GSE34248 (14 psoriasis patients and 14 controls), GSE78097 (13 psoriasis patients and 6 controls), GSE161683 (9 psoriasis patients and 9 controls) and GSE137218 (14 psoriasis patients and 14 controls) were screened as psoriasis datasets,28–30 in which the tissue type is skin lesion from psoriasis patients. Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. 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Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. GSE34248, GSE78097, GSE161683 and GSE39653 were used to screen DEGs, while GSE137218 and GSE98793 were used for hub gene expression validation.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "GSE34248 (14 psoriasis patients and 14 controls), GSE78097 (13 psoriasis patients and 6 controls), GSE161683 (9 psoriasis patients and 9 controls) and GSE137218 (14 psoriasis patients and 14 controls) were screened as psoriasis datasets,28–30 in which the tissue type is skin lesion from psoriasis patients. Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. 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DEGs of psoriasis and depression group were respectively identified using GEO2R with adjusted P-value < 0.05 and |logFC (fold change)| ≥ 1."}}, {"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": "Pathway 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": ["GSE34248", "GSE78097", "GSE161683", "GSE39653", "GSE137218", "GSE98793"], "resolved_accessions": ["GSE34248", "GSE78097", "GSE161683", "GSE39653", "GSE137218", "GSE98793"], "statements": ["GSE34248 (14 psoriasis patients and 14 controls), GSE78097 (13 psoriasis patients and 6 controls), GSE161683 (9 psoriasis patients and 9 controls) and GSE137218 (14 psoriasis patients and 14 controls) were screened as psoriasis datasets,28–30 in which the tissue type is skin lesion from psoriasis patients. Meanwhile, GSE39653 (24 depression patients and 21 controls) and GSE98793 (64 depression patients and 64 controls) were screened as depression datasets,31,32 in which the tissue type is peripheral blood mononuclear cells (PBMC) from patients with depression. GSE34248, GSE78097, GSE161683 and GSE39653 were used to screen DEGs, while GSE137218 and GSE98793 were used for hub gene expression validation."], "basis": "The paper names GSE34248, GSE78097, GSE161683, GSE39653, GSE137218, GSE98793 in Gene Expression Omnibus (GEO) DataSets 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:37223217", "data:geo:GSE137218"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE137218"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:41:33Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 5, "usage": {"prompt_tokens": 13732, "completion_tokens": 2625, "cached_tokens": 264}}, "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:37223217", "type": "paper", "label": "pmid:37223217"}, {"id": "source:pmid:37223217", "type": "manuscript", "label": "PMID 37223217 full text"}, {"id": "data:geo:GSE137218", "type": "dataset", "label": "GEO GSE137218"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37223217", "type": "paper", "label": "pmid:37223217"}, {"id": "source:pmid:37223217", "type": "manuscript", "label": "PMID 37223217 full text"}, {"id": "data:geo:GSE137218", "type": "dataset", "label": "GEO GSE137218"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37223217", "type": "extraction", "used": ["source:pmid:37223217"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE137218", "type": "accession_resolution", "used": ["data:geo:GSE137218"], "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:37223217", "parent_hash": "sha256:274cc4f196bec8169eb1ee679694f343a649466997f74afdf48acdae122e0ec1", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE137218 licence not read", "asset:data:geo:GSE137218 not downloaded", "asset:data:geo:GSE161683 licence not read", "asset:data:geo:GSE161683 not downloaded", "asset:data:geo:GSE34248 licence not read", "asset:data:geo:GSE34248 not downloaded", "asset:data:geo:GSE39653 licence not read", "asset:data:geo:GSE39653 not downloaded", "asset:data:geo:GSE78097 licence not read", "asset:data:geo:GSE78097 not downloaded", "asset:data:geo:GSE98793 licence not read", "asset:data:geo:GSE98793 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["GEO2R (www.ncbi.nlm.nih.gov/geo/ge2r) is an interactive web tool developed based on GEOquery and Limma package. 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