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pmid:33603773

Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps.

Yun Hao · Yan Zhao · Ping Wang · Kun Du · Ying Li · Zhen Yang · Xiangdong Wang · Luo Zhang

Frontiers in genetics · 2021 doi:10.3389/fgene.2021.609754

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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:33603773
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science-record
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2026-11-01T15:41:25Z
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2026-11-01T22:46:08Z
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paper object · 10 fields
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title
Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps.
doi
10.3389/fgene.2021.609754
pmid
33603773
authors array · 8 items
[0]
Yun Hao
[1]
Yan Zhao
[2]
Ping Wang
[3]
Kun Du
[4]
Ying Li
[5]
Zhen Yang
[6]
Xiangdong Wang
[7]
Luo Zhang
journal
Frontiers in genetics
year
2021
abstract
Chronic rhinosinusitis with nasal polyps (CRSwNP) is a chronic sinonasal inflammatory disease with limited treatment options of corticosteroids, sinus surgery, or both. CRSwNP is frequently associated with allergic rhinitis and asthma, but the molecular mechanisms underlying CRSwNP inflammation are not completely understood. We obtained four gene expression profiles (GSE136825, GSE36830, GSE23552, and GSE72713) from four Gene Expression Omnibus (GEO), which collectively included 65 nasal polyp samples from CRSwNP patients and 54 nasal mucosal samples from healthy controls. Using an integrated analysis approach, we identified 76 co-differentially expressed genes (co-DEGs, including 45 upregulated and 31 downregulated) in CRSwNP patients compared with the healthy controls. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses identified the terms including immune effector process, leukocyte migration, regulation of the inflammatory response, Staphylococcus aureus infection, and cytokine-cytokine receptor interaction. protein-protein interaction (PPI) network analysis and real-time quantitative PCR (RT-qPCR) showed that 7 genes might be crucial in CRSwNP pathogenesis. Repurposing drug candidates (Alfadolone, Hydralazine, SC-560, Iopamidol, Iloprost, etc) for CRSwNP treatment were identified from the Connectivity Map (CMap) database. Our results suggest multiple molecular mechanisms, diagnostic biomarkers, potential therapeutic targets, and new repurposing drug candidates for CRSwNP treatment.
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sections[12] "Statistical Analysis" paragraph 2
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Differences between groups were assessed by ANOVA.
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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sections[21] "Data Availability Statement" paragraph 2
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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GSM4058821
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GSM4058834
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GSM4058835
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GSM4058836
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GSM4058837
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GSM4058838
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GSM4058839
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GSM4058840
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GSM4058841
[90]
GSM4058842
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GSM4058843
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GSM4058844
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GSM4058845
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GSM4058846
[95]
GSM4058847
[96]
GSM4058848
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GSM4058849
[98]
GSM4058850
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GSM4058851
[100]
GSM4058852
[101]
GSM4058853
[102]
GSM4058854
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103
group_sizes
null
group_sizes_basis
null
platform
20301
taxon
Homo sapiens
title
Whole-transcriptome sequencing reveals heightened inflammation and defective host-defense responses in inflammation and defective host-defense responses in chronic rhinosinusitis with nasal polyps
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
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data:geo:GSE23552
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geo-series
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application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE23552
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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GEO accession URL
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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GSM577728
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GSM577729
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[4]
GSM577732
[5]
GSM577733
[6]
GSM577734
[7]
GSM577735
[8]
GSM577736
[9]
GSM577737
[10]
GSM577738
[11]
GSM577739
[12]
GSM577740
[13]
GSM577741
[14]
GSM577742
[15]
GSM577743
[16]
GSM577744
[17]
GSM577745
[18]
GSM577746
[19]
GSM577747
[20]
GSM577748
[21]
GSM577749
[22]
GSM577750
[23]
GSM577751
[24]
GSM577752
[25]
GSM577753
[26]
GSM577754
[27]
GSM577755
[28]
GSM577756
[29]
GSM577757
[30]
GSM577758
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GSM577759
[32]
GSM577760
[33]
GSM577761
[34]
GSM577762
[35]
GSM577763
[36]
GSM577764
[37]
GSM577765
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GSM577766
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39
group_sizes
null
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null
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5175
taxon
Homo sapiens
title
Exon Array Analysis of Asthmatic Chronic Rhinosinusitis with Nasal Polyps
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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licence_read
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[3] object · 15 fields
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data:geo:GSE36830
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null
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GSE36830
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null
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
access_statement_kind
data_availability_statement
sample_accessions array · 24 items
[0]
GSM902680
[1]
GSM902681
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GSM902682
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GSM902683
[4]
GSM902684
[5]
GSM902685
[6]
GSM902686
[7]
GSM902687
[8]
GSM902688
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GSM902689
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GSM902690
[11]
GSM902691
[12]
GSM902692
[13]
GSM902693
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GSM902694
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GSM902695
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GSM902696
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GSM902697
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GSM902698
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GSM902699
[20]
GSM902700
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GSM902701
[22]
GSM902702
[23]
GSM902703
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24
group_sizes
null
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null
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570
taxon
Homo sapiens
title
Gene expression analysis of Chronic rhinosinusitis
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[4] object · 15 fields
id
data:geo:GSE72713
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raw
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geo-series
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72713
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null
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null
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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repository
GEO
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GEO accession URL
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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[0]
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group_sizes
null
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null
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11154
taxon
Homo sapiens
title
Transcriptome analysis of eosinophilic and noneosinophilic chronic rhinosinusitis with nasal polyps reveals distinct lncRNA expression profiles
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2026-11-01T15:39:55Z
resolution_check
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The details of GEO datasets for CRSwNP.
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3
section_title
Microarray Studies, Datasets and Characteristics of Clinical Samples From the GEO Data Repository
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label
Table 1
caption
The details of GEO datasets for CRSwNP.
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[0] array · 10 items
[0]
GSE
[1]
PMID
[2]
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[3]
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[4]
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[5]
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[6]
Age (y)
[7]
Sex, male (n%)
[8]
Number of DEGs
[9]
mRNA
[1] array · 11 items
[0]
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
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[0]
GSE136825
[1]
PMID: 31439685
[2]
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[3]
High-Throughput sequencing
[4]
GPL20301
[5]
Illumina HiSeq 4000
[6]
NA
[7]
NA
[8]
851
[9]
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[10]
344
[3] array · 11 items
[0]
GSE36830
[1]
PMID: 26067893
[2]
CRSwNP: 6 Control: 6
[3]
In situ oligonucleotide
[4]
GPL570
[5]
[HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
[6]
CRSwNP: 38 ± 5 Control: 36 ± 6
[7]
CRSwNP: 4 (67%) Control: 2 (33%)
[8]
286
[9]
149
[10]
137
[4] array · 11 items
[0]
GSE23522
[1]
PMID: 20625511
[2]
CRSwNP: 11 Control: 17
[3]
In situ oligonucleotide
[4]
GPL5175
[5]
[HuEx-1_0-st] Affymetrix Human Exon 1.0 ST Array [transcript (gene) version]
[6]
CRSwNP: 40 ± 2.788 Control: 31.22 ± 2.913
[7]
CRSwNP: 5 (45%) Control: 9 (53%)
[8]
459
[9]
271
[10]
188
[5] array · 11 items
[0]
GSE72713
[1]
PMID: 27216292
[2]
CRSwNP: 6 Control: 3
[3]
High-Throughput sequencing
[4]
GPL11154
[5]
Illumina HiSeq 2000 (Homo sapiens)
[6]
CRSwNP: 46.8 ± 4.8 Control: 48.7 ± 7.6
[7]
CRSwNP: 4 (67%) Control: 1 (67%)
[8]
85
[9]
21
[10]
64
locator
section[3]/table-wrap[1]#T1
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Results of CMap analysis of co-DEGs in CRSwNP.
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18
section_title
Prediction of Potential Novel Drugs for the Treatment of CRSwNP by CMap
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Results of CMap analysis of co-DEGs in CRSwNP.
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[0] array · 9 items
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Rank
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CMap name
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[3]
N
[4]
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[5]
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[6]
CID
[7]
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[8]
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9798416
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C21H32O4
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[2] array · 9 items
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6
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3637
[7]
C8H8N4
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[0]
3
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SC-560
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3
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0.00176
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C17H12ClF3N2O
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[4] array · 9 items
[0]
4
[1]
Iopamidol
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−0.255
[3]
4
[4]
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0.00177
[6]
65492
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C17H22I3N3O8
[8]
Approved
[5] array · 9 items
[0]
5
[1]
Iloprost
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−0.686
[3]
3
[4]
−0.899
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0.00194
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5311181
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C22H32O4
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Clorgiline
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C13H15Cl2NO
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C17H17N7O8S4
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0.00374
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C20H28O2
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[0]
9
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Disulfiram
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0.576
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5
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0.722
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3117
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C10H20N2S4
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C19H19NOS
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Ramifenazone
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0.731
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0.01038
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C21H22N2O5S
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0.724
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C24H34N2O
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Approved
locator
section[18]/table-wrap[1]#T2
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[0]
asset:data:geo:GSE136825 not downloaded
[1]
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asset:data:geo:GSE23552 not downloaded
[3]
asset:data:geo:GSE23552 licence not read
[4]
asset:data:geo:GSE36830 not downloaded
[5]
asset:data:geo:GSE36830 licence not read
[6]
asset:data:geo:GSE72713 not downloaded
[7]
asset:data:geo:GSE72713 licence not read
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complete
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group_comparison
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Differences between groups were assessed by ANOVA.
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network_analysis
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build_graph
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edge_list
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0.7
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protein-protein interaction
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meta_analysis
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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complete
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R1
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nothing:replicable_now
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group_summary
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welch_t
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bootstrap_mean_difference
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: anova.
capability object · 4 fields
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capability:computational_analysis
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owned
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data object · 6 fields
tier
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[0]
GSE136825
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GSE36830
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GSE23552
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GSE72713
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[0]
GSE136825
[1]
GSE36830
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GSE23552
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GSE72713
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
basis
The paper names GSE136825, GSE36830, GSE23552, GSE72713 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 · 4 items
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group_summary
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welch_t
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bootstrap_mean_difference
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group_comparison_anova
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source:pmid:33603773
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data:geo:GSE136825
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asset:table:pmid:33603773:1
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asset:table:pmid:33603773:2
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run_analysis
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data:geo:GSE136825
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review object · 5 fields
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partial
machine_critique object · 5 fields
kind
extraction_review
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MiniMax-M3.1-Flash
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minimax
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minimax
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2026-10-31T18:27:09Z
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single_reader
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verbatim
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pmid:33603773
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paper
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source:pmid:33603773
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PMID 33603773 full text
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data:geo:GSE136825
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source:pmid:33603773
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agent:corpus-assay-engine
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agent:minimax-reader
[2] object · 4 fields
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used array · 1 item
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agent:corpus-assay-engine
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agent:minimax-reader
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pmid:33603773
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[3]
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[4]
asset:data:geo:GSE36830 licence not read
[5]
asset:data:geo:GSE36830 not downloaded
[6]
asset:data:geo:GSE72713 licence not read
[7]
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ork analysis and real-time quantitative PCR (RT-qPCR) showed that 7 genes might be crucial in CRS
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Materials and Methods Microarray Studies, Datasets and Characteristics of Cli
[1]
Repository In the present study, we selected microarray and high-throughput sequencing datasets of n
[2]
controls evaluated with the GPL570 platform (Affymetrix Human Genome U133 Plus 2.0 Array) (Stevens e
[3]
ens et al., 2015b). GSE23552 is based on the Affymetrix Human Exon 1.0 ST Array and includes nasal p
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ime quantitative PCR; WB, western blot; IHC, immunohistochemistry. Patient Recruitment This study was approved
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33603773", "kind": "science-record", "revision": 8, "content_hash": "sha256:9ca19f2722bd1304afab1914c0b3eb0936badac8b47ac65b29e3a591e35d4a15", "created_at": "2026-11-01T15:41:25Z", "updated_at": "2026-11-01T22:46:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Transcriptomic Signatures and Functional Network Analysis of Chronic Rhinosinusitis With Nasal Polyps.", "doi": "10.3389/fgene.2021.609754", "pmid": "33603773", "authors": ["Yun Hao", "Yan Zhao", "Ping Wang", "Kun Du", "Ying Li", "Zhen Yang", "Xiangdong Wang", "Luo Zhang"], "journal": "Frontiers in genetics", "year": 2021, "abstract": "Chronic rhinosinusitis with nasal polyps (CRSwNP) is a chronic sinonasal inflammatory disease with limited treatment options of corticosteroids, sinus surgery, or both. CRSwNP is frequently associated with allergic rhinitis and asthma, but the molecular mechanisms underlying CRSwNP inflammation are not completely understood. We obtained four gene expression profiles (GSE136825, GSE36830, GSE23552, and GSE72713) from four Gene Expression Omnibus (GEO), which collectively included 65 nasal polyp samples from CRSwNP patients and 54 nasal mucosal samples from healthy controls. Using an integrated analysis approach, we identified 76 co-differentially expressed genes (co-DEGs, including 45 upregulated and 31 downregulated) in CRSwNP patients compared with the healthy controls. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses identified the terms including immune effector process, leukocyte migration, regulation of the inflammatory response, Staphylococcus aureus infection, and cytokine-cytokine receptor interaction. protein-protein interaction (PPI) network analysis and real-time quantitative PCR (RT-qPCR) showed that 7 genes might be crucial in CRSwNP pathogenesis. Repurposing drug candidates (Alfadolone, Hydralazine, SC-560, Iopamidol, Iloprost, etc) for CRSwNP treatment were identified from the Connectivity Map (CMap) database. 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