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pmid:33289509

Bioinformatic analysis of key pathways and genes involved in pediatric atopic dermatitis.

Tianyi Wang · Bingxin Zhang · Danhui Li · Xiaoli Qi · Chijin Zhang

Bioscience reports · 2021 doi:10.1042/BSR20193517

Paper

complete

Experiment

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Data

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Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33289509
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science-record
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2026-11-01T15:41:18Z
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2026-11-01T22:45:45Z
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paper object · 10 fields
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title
Bioinformatic analysis of key pathways and genes involved in pediatric atopic dermatitis.
doi
10.1042/BSR20193517
pmid
33289509
authors array · 5 items
[0]
Tianyi Wang
[1]
Bingxin Zhang
[2]
Danhui Li
[3]
Xiaoli Qi
[4]
Chijin Zhang
journal
Bioscience reports
year
2021
abstract
The initiation of atopic dermatitis (AD) typically happens very early in life, but most of our understanding of AD is derived from studies on AD patients in adult. The aim of the present study was to identify gene signature speficic to pediatric AD comapred with adult AD. The gene expression profiles of four datasets (GSE32924, GSE36842, GSE58558, and GSE107361) were downloaded from the GEO database. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed, and protein-protein interaction (PPI) network was constructed by Cytoscape software. Total 654 differentially expressed genes (DEGs) (394 up-regulated and 260 down-regulated) were identified in pediatric AD samples with adult AD samples as control. The up-regulated DEGs were significantly enriched in the migration and chemotaxis of granulocyte and neutrophil, while down-regulated DEGs were significantly enriched in biological adhesion. KEGG pathway analysis showed that up-regulated DEGs participated in chemokine signaling pathway while down-regulated DEGs participated in adherens junction, focal adhesion, and regulation of actin cytoskeleton. The top 10 hub genes GAPDH, EGFR, ACTB, ESR1, CDK1, CXCL8, CD44, KRAS, PTGS2, and SMC3 were involved in chemokine signaling pathway, cytokine-cytokine receptor interaction, interleukin-17 signaling pathway, and regulation of actin cytoskeleton. In conclusion, we identified DEGs and hub genes involved in pediatric AD, which might be used as therapeutic targets and diagnostic biomarkers for pediatric AD.
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Next, limma packagein R language was used to identify the DEGs between pediatric and adult samples.
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sections[3] "Identification of DEGs" paragraph 2
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Next, limma packagein R language was used to identify the DEGs between pediatric and adult samples.
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All data are available upon request.
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Homo sapiens
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Early-onset pediatric atopic dermatitis is characterized by Th2/Th17/Th22- centered inflammation and lipid alterations
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Nonlesional atopic dermatitis skin is characterized by broad terminal differentiation defects and variable immune abnormalities
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570
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Homo sapiens
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Progressive Activation of Th2/Th22 characterizes acute and chronic atopic dermatitis
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2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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570
taxon
Homo sapiens
title
Cyclosporine in patients with atopic dermatitis modulates activated inflammatory pathways and reverses epidermal pathology
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Gene ontology analysis of DEGs associated with pediatric AD
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Functional and pathway enrichment analyses
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Table 1
caption
Gene ontology analysis of DEGs associated with pediatric AD
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[0] array · 6 items
[0]
Category
[1]
Term
[2]
Involved in
[3]
n*
[4]
%
[5]
P
[1] array · 6 items
[0]
Up-regulated
[1]
[2]
[3]
[4]
[5]
[2] array · 6 items
[0]
GOTERM_BP_FAT
[1]
GO:0097530
[2]
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[3]
9
[4]
2.3
[5]
1.32E-03
[3] array · 6 items
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[2]
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[4]
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1.56E-03
[4] array · 6 items
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[4]
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1.86E-03
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8
[4]
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[5]
3.13E-03
[6] array · 6 items
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[2]
hydrolase activity, acting on carbon–nitrogen bonds
[3]
8
[4]
2.0
[5]
2.12E-02
[14] array · 6 items
[0]
Down-regulated
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[3]
[4]
[5]
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viral process
[3]
32
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12.3
[5]
4.97E-06
[16] array · 6 items
[0]
GOTERM_BP_FAT
[1]
GO:0044764
[2]
multiorganism cellular process
[3]
32
[4]
12.3
[5]
5.75E-06
[17] array · 6 items
[0]
GOTERM_BP_FAT
[1]
GO:0022610
[2]
biological adhesion
[3]
46
[4]
17.7
[5]
5.76E-06
[18] array · 6 items
[0]
GOTERM_BP_FAT
[1]
GO:0044403
[2]
symbiosis, encompassing mutualism through parasitism
[3]
32
[4]
12.3
[5]
9.55E-06
[19] array · 6 items
[0]
GOTERM_BP_FAT
[1]
GO:0044419
[2]
interspecies interaction between organisms
[3]
32
[4]
12.3
[5]
9.55E-06
[20] array · 6 items
[0]
GOTERM_CC_FAT
[1]
GO:0005912
[2]
adherens junction
[3]
37
[4]
14.2
[5]
8.19E-12
[21] array · 6 items
[0]
GOTERM_CC_FAT
[1]
GO:0070161
[2]
anchoring junction
[3]
37
[4]
14.2
[5]
1.64E-11
[22] array · 6 items
[0]
GOTERM_CC_FAT
[1]
GO:0070062
[2]
extracellular exosome
[3]
73
[4]
28.1
[5]
5.49E-08
[23] array · 6 items
[0]
GOTERM_CC_FAT
[1]
GO:1903561
[2]
extracellular vesicle
[3]
73
[4]
28.1
[5]
6.76E-08
[24] array · 6 items
[0]
GOTERM_CC_FAT
[1]
GO:0043230
[2]
extracellular organelle
[3]
73
[4]
28.1
[5]
6.86E-08
[25] array · 6 items
[0]
GOTERM_MF_FAT
[1]
GO:0008092
[2]
cytoskeletal protein binding
[3]
31
[4]
11.9
[5]
1.30E-06
[26] array · 6 items
[0]
GOTERM_MF_FAT
[1]
GO:0032403
[2]
protein complex binding
[3]
29
[4]
11.2
[5]
1.70E-06
[27] array · 6 items
[0]
GOTERM_MF_FAT
[1]
GO:0050839
[2]
cell adhesion molecule binding
[3]
19
[4]
7.3
[5]
5.91E-05
[28] array · 6 items
[0]
GOTERM_MF_FAT
[1]
GO:0044877
[2]
macromolecular complex binding
[3]
36
[4]
13.8
[5]
7.47E-05
[29] array · 6 items
[0]
GOTERM_MF_FAT
[1]
GO:0098641
[2]
cadherin binding involved in cell-cell adhesion
[3]
14
[4]
5.4
[5]
1.70E-04
locator
section[8]/table-wrap[1]#T1
[6] object · 16 fields
id
asset:table:pmid:33289509:2
role
table
format
jats-table
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application/vnd.jats.table+json
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null
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sha256:ef8d4d7dd78540e056713f4533c30fdf86fb40f36f4c2a498551a58589087a79
bytes
1032
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[8]/table-wrap[2]#T2
version
null
note
KEGG pathway analysis of DEGs associated with AD
structure object · 5 fields
pmcid
PMC7789805
section_index
8
section_title
Functional and pathway enrichment analyses
row_count
13
column_count
6
table object · 8 fields
label
Table 2
caption
KEGG pathway analysis of DEGs associated with AD
rows array · 13 items
[0] array · 6 items
[0]
Category
[1]
[2]
Term
[3]
Count*
[4]
%
[5]
P
[1] array · 6 items
[0]
Up-regulated
[1]
[2]
[3]
[4]
[5]
[2] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa04062
[2]
Chemokine signaling pathway
[3]
8
[4]
2.0
[5]
0.044
[3] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa04060
[2]
Cytokine–cytokine receptor interaction
[3]
9
[4]
2.3
[5]
0.061
[4] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa04064
[2]
NF-kappa B signaling pathway
[3]
5
[4]
1.3
[5]
0.065
[5] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa04012
[2]
ErbB signaling pathway
[3]
5
[4]
1.3
[5]
0.065
[6] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa05323
[2]
Rheumatoid arthritis
[3]
5
[4]
1.3
[5]
0.067
[7] array · 6 items
[0]
Down-Regulated
[1]
[2]
[3]
[4]
[5]
[8] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa04520
[2]
Adherens junction
[3]
6
[4]
2.3
[5]
0.004
[9] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa04510
[2]
Focal adhesion
[3]
9
[4]
3.5
[5]
0.013
[10] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa04810
[2]
Regulation of actin cytoskeleton
[3]
9
[4]
3.5
[5]
0.015
[11] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa04530
[2]
Tight junction
[3]
5
[4]
1.9
[5]
0.044
[12] array · 6 items
[0]
KEGG_PATHWAY
[1]
hsa04512
[2]
ECM–receptor interaction
[3]
5
[4]
1.9
[5]
0.044
locator
section[8]/table-wrap[2]#T2
[7] object · 16 fields
id
asset:table:pmid:33289509:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:00da80731b214ee7f09beed58bb47b8f16e5b20948427f5b2be6cbdd5ab0ca11
bytes
662
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[9]/table-wrap[1]#T3
version
null
note
The top 10 hug nodes in protein–protein interaction network
structure object · 5 fields
pmcid
PMC7789805
section_index
9
section_title
Protein–protein interaction network construction and analysis of modules
row_count
11
column_count
3
table object · 8 fields
label
Table 3
caption
The top 10 hug nodes in protein–protein interaction network
rows array · 11 items
[0] array · 3 items
[0]
Hub node
[1]
Information
[2]
Degree
[1] array · 3 items
[0]
GAPDH
[1]
Glyceraldehyde-3-phosphate dehydrogenase
[2]
89
[2] array · 3 items
[0]
EGFR
[1]
Epidermal growth factor receptor
[2]
69
[3] array · 3 items
[0]
ACTB
[1]
Actin, cytoplasmic 1
[2]
51
[4] array · 3 items
[0]
ESR1
[1]
Estrogen receptor
[2]
46
[5] array · 3 items
[0]
CDK1
[1]
Cyclin-dependent kinase1
[2]
44
[6] array · 3 items
[0]
CXCL8
[1]
Interleukin-8
[2]
43
[7] array · 3 items
[0]
CD44
[1]
CD44 antigen
[2]
41
[8] array · 3 items
[0]
KRAS
[1]
GTPase Kras
[2]
36
[9] array · 3 items
[0]
PTGS2
[1]
Prostaglandin G/H synthase 2
[2]
33
[10] array · 3 items
[0]
SMC3
[1]
Structural maintenance of chromosomes protein 3
[2]
27
locator
section[9]/table-wrap[1]#T3
gaps array · 8 items
[0]
asset:data:geo:GSE107361 not downloaded
[1]
asset:data:geo:GSE107361 licence not read
[2]
asset:data:geo:GSE32924 not downloaded
[3]
asset:data:geo:GSE32924 licence not read
[4]
asset:data:geo:GSE36842 not downloaded
[5]
asset:data:geo:GSE36842 licence not read
[6]
asset:data:geo:GSE58558 not downloaded
[7]
asset:data:geo:GSE58558 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
Next, limma packagein R language was used to identify the DEGs between pediatric and adult samples.
[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
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
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 · 4 items
[0]
GSE32924
[1]
GSE36842
[2]
GSE58558
[3]
GSE107361
resolved_accessions array · 4 items
[0]
GSE32924
[1]
GSE36842
[2]
GSE58558
[3]
GSE107361
statements array · 1 item
[0]
All data are available upon request.
basis
The paper names GSE32924, GSE36842, GSE58558, GSE107361 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
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fdr_bh
assets array · 5 items
[0]
source:pmid:33289509
[1]
data:geo:GSE107361
[2]
asset:table:pmid:33289509:1
[3]
asset:table:pmid:33289509:2
[4]
asset:table:pmid:33289509:3
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:GSE107361
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
2026-10-31T18:24:55Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
16956
completion_tokens
2116
cached_tokens
5632
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:33289509
type
paper
label
pmid:33289509
[1] object · 3 fields
id
source:pmid:33289509
type
manuscript
label
PMID 33289509 full text
[2] object · 3 fields
id
data:geo:GSE107361
type
dataset
label
GEO GSE107361
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:33289509
type
paper
label
pmid:33289509
[1] object · 3 fields
id
source:pmid:33289509
type
manuscript
label
PMID 33289509 full text
[2] object · 3 fields
id
data:geo:GSE107361
type
dataset
label
GEO GSE107361
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33289509
type
extraction
used array · 1 item
[0]
source:pmid:33289509
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE107361
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE107361
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
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Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
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MiniMax literature reader
source_run_id
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:33289509
parent_hash
sha256:612a3b006f5ee0da9e942763d36351611fb2c6c4d61b79f328e0fac32011114a
fork_of
null
gaps array · 12 items
[0]
asset:data:geo:GSE107361 licence not read
[1]
asset:data:geo:GSE107361 not downloaded
[2]
asset:data:geo:GSE32924 licence not read
[3]
asset:data:geo:GSE32924 not downloaded
[4]
asset:data:geo:GSE36842 licence not read
[5]
asset:data:geo:GSE36842 not downloaded
[6]
asset:data:geo:GSE58558 licence not read
[7]
asset:data:geo:GSE58558 not downloaded
[8]
execution.not_run
[9]
review.human_critique
[10]
review.independent_reader
[11]
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assays array · 1 item
[0] object · 11 fields
role
analysis
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differential_expression
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f2132e96ae6c7a4e
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normalise_counts
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[2]
fdr_bh
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source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Next, limma packagein R language was used to identify the DEGs between pediatric and adult samples.
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:33289509", "kind": "science-record", "revision": 8, "content_hash": "sha256:47269fb93bdbe7406f12bdd461cebc23ab1600db17dcad14d1abfc38acae0fd4", "created_at": "2026-11-01T15:41:18Z", "updated_at": "2026-11-01T22:45:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatic analysis of key pathways and genes involved in pediatric atopic dermatitis.", "doi": "10.1042/BSR20193517", "pmid": "33289509", "authors": ["Tianyi Wang", "Bingxin Zhang", "Danhui Li", "Xiaoli Qi", "Chijin Zhang"], "journal": "Bioscience reports", "year": 2021, "abstract": "The initiation of atopic dermatitis (AD) typically happens very early in life, but most of our understanding of AD is derived from studies on AD patients in adult. The aim of the present study was to identify gene signature speficic to pediatric AD comapred with adult AD. The gene expression profiles of four datasets (GSE32924, GSE36842, GSE58558, and GSE107361) were downloaded from the GEO database. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed, and protein-protein interaction (PPI) network was constructed by Cytoscape software. Total 654 differentially expressed genes (DEGs) (394 up-regulated and 260 down-regulated) were identified in pediatric AD samples with adult AD samples as control. The up-regulated DEGs were significantly enriched in the migration and chemotaxis of granulocyte and neutrophil, while down-regulated DEGs were significantly enriched in biological adhesion. KEGG pathway analysis showed that up-regulated DEGs participated in chemokine signaling pathway while down-regulated DEGs participated in adherens junction, focal adhesion, and regulation of actin cytoskeleton. The top 10 hub genes GAPDH, EGFR, ACTB, ESR1, CDK1, CXCL8, CD44, KRAS, PTGS2, and SMC3 were involved in chemokine signaling pathway, cytokine-cytokine receptor interaction, interleukin-17 signaling pathway, and regulation of actin cytoskeleton. In conclusion, we identified DEGs and hub genes involved in pediatric AD, which might be used as therapeutic targets and diagnostic biomarkers for pediatric AD.", "claims": [{"id": "claim-method", "statement": "Next, limma packagein R language was used to identify the DEGs between pediatric and adult samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33289509", "locator": "sections[3] \"Identification of DEGs\" paragraph 2", "quote": "Next, limma packagein R language was used to identify the DEGs between pediatric and adult samples."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data are available upon request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33289509", "locator": "sections[13] \"Data Availability\" paragraph 2", "quote": "All data are available upon request."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:33289509"], "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:GSE107361"], "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:GSE107361"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33289509", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1042/BSR20193517", "sha256": 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