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pmid:33315853

Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Cytokine Pathways Involved in COVID-19 After Rhinovirus Infection in Asthma Patients.

Wenjuan Dai · Dawei Cao · Wei Zhang · Yangyang Wei · Daqing Ding · Bei Li · Yan Gao · Lixuan Zhao · Yi Jiang · Xiaomei Kong

Medical science monitor : international medical journal of experimental and clinical research · 2020 doi:10.12659/MSM.928861

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33315853
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science-record
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:19Z
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2026-11-01T22:45:47Z
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paper object · 10 fields
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title
Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Cytokine Pathways Involved in COVID-19 After Rhinovirus Infection in Asthma Patients.
doi
10.12659/MSM.928861
pmid
33315853
authors array · 10 items
[0]
Wenjuan Dai
[1]
Dawei Cao
[2]
Wei Zhang
[3]
Yangyang Wei
[4]
Daqing Ding
[5]
Bei Li
[6]
Yan Gao
[7]
Lixuan Zhao
[8]
Yi Jiang
[9]
Xiaomei Kong
journal
Medical science monitor : international medical journal of experimental and clinical research
year
2020
abstract
BACKGROUND Rhinovirus (RV) is the most common pathogen involved in asthma, and COVID-19, caused by SARS-COV-2, may be more severe in asthma patients. Here, we applied integrated bioinformatics to identify potential key genes and cytokine pathways after RV infection in asthma, and analyzed changes in angiotensin-converting enzyme 2 (ACE2), the cellular receptor of SARS-COV-2. MATERIAL AND METHODS The gene expression profile dataset GSE149273 was downloaded from NCBI-GEO, which included 90 samples of non-infected, RVA, and RVC. Differentially expressed genes (DEGs) were identified using t tests in the limma R package, and subsequently investigated by GO, KEGG, and DO analysis. Moreover, the expression of ACE2 and the proportion of immune cells were further analyzed to determine the effects of RV on cytokines. RESULTS A total of 555 DEGs of RVA and 421 of RVC were identified. There were 415 DEGs in RVA and RVC, of which 406 were upregulated and 9 were downregulated. The functional enrichment analysis showed that most DEGs were obviously enriched in cytokines, and were mainly enriched in "influenza" and "hepatitis C, chronic". In addition, the expression of ACE2 increased significantly and the proportion of immune cytokines significantly changed after RV infection. Our results suggest that RV can activate the cytokine pathway associated with COVID-19 by increasing ACE2. CONCLUSIONS The DEGs and related cytokine pathways after asthma RV infection identified using integrated bioinformatics in this study elucidate the potential link between RV and COVID-19.
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The t test method in the limma R package was subsequently used to identify DEGs between RVA and RVC infected samples and non-infected samples, respectively.
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The t test method in the limma R package was subsequently used to identify DEGs between RVA and RVC infected samples and non-infected samples, respectively.
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The GSE149273 profile dataset was downloaded from the NCBI-GEO database (https://www.ncbi.nlm.nih.gov/geo/). The platform for GSE149273 is GPL21290 Illumina HiSeq 3000 (Homo sapiens), which includes 90 samples from 30 asthma patients with non-infection, RVA, and RVC.
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sections[3] "Dataset sources" paragraph 2
quote
The GSE149273 profile dataset was downloaded from the NCBI-GEO database (https://www.ncbi.nlm.nih.gov/geo/). The platform for GSE149273 is GPL21290 Illumina HiSeq 3000 (Homo sapiens), which includes 90 samples from 30 asthma patients with non-infection, RVA, and RVC.
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The GSE149273 profile dataset was downloaded from the NCBI-GEO database (https://www.ncbi.nlm.nih.gov/geo/). The platform for GSE149273 is GPL21290 Illumina HiSeq 3000 (Homo sapiens), which includes 90 samples from 30 asthma patients with non-infection, RVA, and RVC.
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90
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Homo sapiens
title
RV infections in asthmatics increase ACE2 expression and stimulate cytokine pathways implicated in COVID19
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415 DEGs in the intersection of FVA and FVC.
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Data information and identification of DEGs
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Table 1
caption
415 DEGs in the intersection of FVA and FVC.
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[0] array · 2 items
[0]
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Genes
[1] array · 2 items
[0]
Upregulated
[1]
IRF7, MX2, CMPK2, TRIM25, OAS3, IFIT5, DDX60L, RSAD2, MX1, IFI16, ADAR, USP18, STAT1, PNPT1, TRIM14, OAS1, OAS2, XAF1, IFIT1, DHX58, DDX58, CMTR1, RTP4, PARP12, SP100, EPSTI1, IFIT2, PARP9, IFI35, HERC6, LAMP3, UBE2L6, SAMD9L, PLSCR1, HERC5, OASL, IFIT3, C19orf66, IFI44, TRANK1, SP110, HSH2D, DTX3L, ISG15, IFIH1, ZC3HAV1, PARP10, TRIM21, DDX60, PARP14, IFITM1, NMI, SLC25A28, ISG20, ETV7, STAT2, NLRC5, TRIM5, MYD88, TDRD7, SMCHD1, XRN1, TRIM22, PHF11, SAMD9, GTPBP2, RNF213, NT5C3A, LAP3, ZCCHC2, FAM46A, IFI44L, TREX1, SCO2, GTPBP1, PML, FBXO6, TOR1B, PLEKHA4, UBA7, AIM2, TNFSF10, TAP1, NUB1, GBP4, LMO2, MOV10, APOL6, TAPSAR1, GBP1, SCAMP1-AS1, STARD5, EIF2AK2, N4BP1, BST2, TYMP, IFITM3, IRF9, HELZ2, RNF19B, HLA-E, MOB3C, LGALS9, CNP, SPATS2L, ZNFX1, GMPR, OPTN, CXCL10, C5orf56, RBCK1, APOBEC3G, HDX, CSRNP1, SECTM1, PRKD2, PSMB8, FBXO39, TTC39B, PSMB9, WARS, IRF1, BATF2, TRIM38, LGALS17A, LY6E, IFI6, JAK2, CLEC7A, SAMHD1, SP140L, EXOC3L1, PI4K2B, NUPR1, SIDT1, PCGF5, IFNL3, CASP1, ACSL1, EHD4, CD68, TAP2, SLFN5, TLR3, LOC101927027, TRIB2, LIFR, GRIP2, ACE2, MASTL, BCL2L14, TRAFD1, PRICKLE4, APOL2, BCL3, GBP5, BTC, PIK3AP1, SLC15A3, NFE2L3, ZBP1, ZFYVE26, RASGRP3, TMEM140, ZC3H12A, KIAA1551, CTRL, MLKL, NFKBIA, LYSMD2, MAB21L2, GNB4, C17orf67, GBP1P1, DUOX2, PMAIP1, USP30-AS1, SOD2, CIITA, OGFR, LYPD5, APOBEC3A, IFNL1, AKAP7, ACKR4, TNFAIP3, RBMS2, HESX1, HTR2B, MXD1, IL4I1, BLZF1, DUOXA2, NCOA7, RBM11, HRASLS2, SUSD3, FGD2, CCL5, IFI27, TICAM1, CCDC109B, APOBEC3F, GCH1, IL22RA1, TNFSF13B, C19orf38, IKBKE, IFNL2, CASP10, LRRN2, PPM1K, CD7, APOL3, IRAK2, NFKBIZ, UBQLNL, C21orf91, IL7, HLA-F, CD38, RELB, GCNT4, RHBDF2, CX3CL1, CD83, TNFRSF6B, PPM1J, TAGAP, BTN3A3, TMEM229B, FFAR2, CARD16, SOCS1, STX11, OVOL1, IL19, BIRC3, GLRX, CPNE5, MAFF, CXorf49, CXorf49B, CEACAM1, SEC16B, PRDM1, ADCY4, ATF3, LINC00623, TLR2, IFITM2, NRG2, BBC3, SOCS3, KIAA0226, CXCL11, CXCL9, IL15RA, LAG3, STARD4, IDO1, SOCS2, ICOSLG, C1GALT1, FANCA, KCNQ4, NCF1, C10orf105, AP5B1, TMEM171, GBP2, HK2, BRIP1, RAB43, MUC13, IFI30, NCF1C, SP140, HAPLN3, ARID5A, SLC16A1, CD274, KLHDC7B, CACNA1A, CSF3, MAP2, CCL20, TMEM106A, SERPING1, TNFAIP2, CLCA3P, TNIP3, DLG2, CXCL8, MAPK8IP2, IL17C, PLAUR, NEURL3, PROX1, APOBEC3B, TNF, MB21D1, THEMIS2, FRMD3, HBEGF, BRCA2, DUXAP10, TMEM92, DUSP5, EXOC3L4, APOL4, C11orf82, RIMS2, C15orf48, C2CD4B, NOV, ADAM8, SLFN12, MICB, GBP3, GRIN3A, C1R, LOC102724163, SEMA3D, IL2RG, LOC645638, FGF2, FAM169B, LOC100294362, MT2A, ABCD1, ZNF618, LRRC3, SAA4, CYP21A1P, SLC26A4-AS1, SERPINB9, SERPINB9P1, BATF, LOC388692, TLDC2, IL36G, PRRX2, TGM1, ELOVL7, CXCL3, TNFRSF10A, RTKN2, CCL22, HDAC9, ATP10A, IL6, SBK1, BCL2A1, DOC2B, C2CD4A, C1S, ADM, HCG4B, PTPRH, HCAR3, PDCD1LG2, C8orf4, CXCL2, STS, RET, NOS2, SLC26A4, SLCO4A1, SELL, NTNG2, HLA-J, RND1, CFB, XDH, MMP13, TRIM31, SAA2, SPRR2A, PTGS2, MTNR1A, AKAP2, ACHE, DEFB4A, ICAM1, EREG, SPRR2F, CH25H, IL1RN, NEXN, CSF1, HSPA6, LOC554223, APOL1, SLAMF7, LIF, MEF2C, SSC5D, TGM2, ZDHHC14, CXCL13, ERAP2, ANGPTL4, SH2D1B, THSD1, PLA2G4E
[2] array · 2 items
[0]
Downregulated
[1]
C20orf195, FAM13C, HPX, INHBB, GPATCH11, PTGFR, PRR18, SLC16A14, SLC47A2
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GO functional annotation for the most significantly related targets of 415 DEGs.
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PMC7747473
section_index
9
section_title
Functional enrichment analysis
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23
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Table 2
caption
GO functional annotation for the most significantly related targets of 415 DEGs.
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[0] array · 4 items
[0]
GO ID
[1]
GO Term
[2]
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P-value
[1] array · 1 item
[0]
BP
[2] array · 4 items
[0]
GO: 0009615
[1]
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[2]
75
[3]
9.27E-60
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[0]
GO: 0051607
[1]
Defense response to virus
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67
[3]
1.20E-59
[4] array · 4 items
[0]
GO: 0034341
[1]
Response to interferon-gamma
[2]
51
[3]
5.09E-43
[5] array · 4 items
[0]
GO: 0060337
[1]
Type I interferon signaling pathway
[2]
38
[3]
1.25E-40
[6] array · 4 items
[0]
GO: 0071357
[1]
Cellular response to type i interferon
[2]
38
[3]
1.25E-40
[7] array · 4 items
[0]
GO: 0034340
[1]
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38
[3]
8.46E-40
[8] array · 4 items
[0]
GO: 0071346
[1]
Cellular response to interferon-gamma
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45
[3]
1.81E-37
[9] array · 4 items
[0]
GO: 0048525
[1]
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[2]
33
[3]
2.80E-32
[10] array · 4 items
[0]
GO: 0060333
[1]
Interferon-gamma-mediated signaling pathway
[2]
32
[3]
3.39E-32
[11] array · 4 items
[0]
GO: 1903901
[1]
Negative regulation of viral life cycle
[2]
31
[3]
8.43E-32
[12] array · 1 item
[0]
MF
[13] array · 4 items
[0]
GO: 0005125
[1]
Cytokine activity
[2]
29
[3]
1.03E-15
[14] array · 4 items
[0]
GO: 0048018
[1]
Receptor ligand activity
[2]
39
[3]
1.62E-13
[15] array · 4 items
[0]
GO: 0005126
[1]
Cytokine receptor binding
[2]
29
[3]
9.81E-13
[16] array · 4 items
[0]
GO: 0042379
[1]
Chemokine receptor binding
[2]
13
[3]
5.95E-10
[17] array · 4 items
[0]
GO: 0008009
[1]
Chemokine activity
[2]
11
[3]
2.92E-09
[18] array · 4 items
[0]
GO: 0045236
[1]
CXCR chemokine receptor binding
[2]
6
[3]
2.79E-08
[19] array · 4 items
[0]
GO: 0003725
[1]
Double-stranded RNA binding
[2]
12
[3]
3.25E-08
[20] array · 4 items
[0]
GO: 0016814
[1]
Hydrolase activity, acting on carbon-nitrogen (but not peptide) bonds, in cyclic amidines
[2]
7
[3]
4.39E-06
[21] array · 4 items
[0]
GO: 0042056
[1]
Chemoattractant activity
[2]
7
[3]
9.61E-06
[22] array · 4 items
[0]
GO: 0048020
[1]
CCR chemokine receptor binding
[2]
7
[3]
2.25E-05
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KEGG functional annotation for 415 DEGs.
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9
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Functional enrichment analysis
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Table 3
caption
KEGG functional annotation for 415 DEGs.
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[0] array · 4 items
[0]
KEGG ID
[1]
KEGG Term
[2]
Count
[3]
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[1] array · 4 items
[0]
hsa05164
[1]
Influenza A
[2]
33
[3]
4.44E-20
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[0]
hsa04621
[1]
NOD-like receptor signaling pathway
[2]
30
[3]
2.20E-16
[3] array · 4 items
[0]
hsa04060
[1]
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34
[3]
1.28E-13
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[0]
hsa04061
[1]
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20
[3]
7.62E-13
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[0]
hsa04668
[1]
TNF signaling pathway
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20
[3]
7.04E-12
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[0]
hsa05162
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Measles
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22
[3]
7.43E-12
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hsa05169
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24
[3]
3.95E-10
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hsa05160
[1]
Hepatitis C
[2]
20
[3]
3.30E-09
[9] array · 4 items
[0]
hsa04064
[1]
NF-kappa B signaling pathway
[2]
16
[3]
9.32E-09
[10] array · 4 items
[0]
hsa04657
[1]
IL-17 signaling pathway
[2]
15
[3]
1.65E-08
[11] array · 4 items
[0]
hsa05167
[1]
Kaposi sarcoma-associated herpesvirus infection
[2]
21
[3]
1.77E-08
[12] array · 4 items
[0]
hsa04630
[1]
JAK-STAT signaling pathway
[2]
19
[3]
3.65E-08
[13] array · 4 items
[0]
hsa04623
[1]
Cytosolic DNA-sensing pathway
[2]
12
[3]
6.12E-08
[14] array · 4 items
[0]
hsa04620
[1]
Toll-like receptor signaling pathway
[2]
15
[3]
6.73E-08
[15] array · 4 items
[0]
hsa04622
[1]
RIG-I-like receptor signaling pathway
[2]
12
[3]
2.08E-07
[16] array · 4 items
[0]
hsa04625
[1]
C-type lectin receptor signaling pathway
[2]
14
[3]
4.49E-07
[17] array · 4 items
[0]
hsa04217
[1]
Necroptosis
[2]
17
[3]
7.52E-07
[18] array · 4 items
[0]
hsa05134
[1]
Legionellosis
[2]
10
[3]
1.77E-06
[19] array · 4 items
[0]
hsa04062
[1]
Chemokine signaling pathway
[2]
18
[3]
1.94E-06
[20] array · 4 items
[0]
hsa05133
[1]
Pertussis
[2]
11
[3]
3.86E-06
[21] array · 4 items
[0]
hsa05161
[1]
Hepatitis B
[2]
16
[3]
4.60E-06
[22] array · 4 items
[0]
hsa05168
[1]
Herpes simplex virus 1 infection
[2]
29
[3]
2.77E-05
[23] array · 4 items
[0]
hsa05323
[1]
Rheumatoid arthritis
[2]
11
[3]
2.78E-05
[24] array · 4 items
[0]
hsa05170
[1]
Human immunodeficiency virus 1 infection
[2]
16
[3]
0.000129
[25] array · 4 items
[0]
hsa05145
[1]
Toxoplasmosis
[2]
11
[3]
0.000155
[26] array · 4 items
[0]
hsa05140
[1]
Leishmaniasis
[2]
9
[3]
0.000166
[27] array · 4 items
[0]
hsa05144
[1]
Malaria
[2]
7
[3]
0.000289
[28] array · 4 items
[0]
hsa05143
[1]
African trypanosomiasis
[2]
6
[3]
0.00035
[29] array · 4 items
[0]
hsa05235
[1]
PD-L1 expression and PD-1 checkpoint pathway in cancer
[2]
9
[3]
0.000498
[30] array · 4 items
[0]
hsa04612
[1]
Antigen processing and presentation
[2]
8
[3]
0.000928
[31] array · 4 items
[0]
hsa04930
[1]
Type II diabetes mellitus
[2]
6
[3]
0.00116
[32] array · 4 items
[0]
hsa05142
[1]
Chagas disease (American trypanosomiasis)
[2]
9
[3]
0.001339
locator
section[9]/table-wrap[2]#t3-medscimonit-26-e928861
gaps array · 2 items
[0]
asset:data:geo:GSE149273 not downloaded
[1]
asset:data:geo:GSE149273 licence not read
analysis object · 4 fields
state
complete
methods array · 1 item
[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
The t test method in the limma R package was subsequently used to identify DEGs between RVA and RVC infected samples and non-infected samples, respectively.
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 · 1 item
[0]
GSE149273
resolved_accessions array · 1 item
[0]
GSE149273
statements array · 1 item
[0]
The GSE149273 profile dataset was downloaded from the NCBI-GEO database (https://www.ncbi.nlm.nih.gov/geo/). The platform for GSE149273 is GPL21290 Illumina HiSeq 3000 (Homo sapiens), which includes 90 samples from 30 asthma patients with non-infection, RVA, and RVC.
basis
The paper names GSE149273 in NCBI-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 · 5 items
[0]
source:pmid:33315853
[1]
data:geo:GSE149273
[2]
asset:table:pmid:33315853:1
[3]
asset:table:pmid:33315853:2
[4]
asset:table:pmid:33315853:3
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:GSE149273
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
2026-10-31T18:25:02Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
23250
completion_tokens
847
cached_tokens
520
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:33315853
type
paper
label
pmid:33315853
[1] object · 3 fields
id
source:pmid:33315853
type
manuscript
label
PMID 33315853 full text
[2] object · 3 fields
id
data:geo:GSE149273
type
dataset
label
GEO GSE149273
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:33315853
type
paper
label
pmid:33315853
[1] object · 3 fields
id
source:pmid:33315853
type
manuscript
label
PMID 33315853 full text
[2] object · 3 fields
id
data:geo:GSE149273
type
dataset
label
GEO GSE149273
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33315853
type
extraction
used array · 1 item
[0]
source:pmid:33315853
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE149273
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE149273
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:33315853
parent_hash
sha256:1df1c969fb3fe526f7f341755d354d990904ccde3b33fab7178d30fefd095f97
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE149273 licence not read
[1]
asset:data:geo:GSE149273 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The t test method in the limma R package was subsequently used to identify DEGs between RVA and RVC infected samples and non-infected samples, respectively.
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:33315853", "kind": "science-record", "revision": 9, "content_hash": "sha256:66a1cc807285a411e49bbe40044b77a62a1574593bbbe8c4fe3d351a5329f639", "created_at": "2026-11-01T15:41:19Z", "updated_at": "2026-11-01T22:45:47Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Cytokine Pathways Involved in COVID-19 After Rhinovirus Infection in Asthma Patients.", "doi": "10.12659/MSM.928861", "pmid": "33315853", "authors": ["Wenjuan Dai", "Dawei Cao", "Wei Zhang", "Yangyang Wei", "Daqing Ding", "Bei Li", "Yan Gao", "Lixuan Zhao", "Yi Jiang", "Xiaomei Kong"], "journal": "Medical science monitor : international medical journal of experimental and clinical research", "year": 2020, "abstract": "BACKGROUND Rhinovirus (RV) is the most common pathogen involved in asthma, and COVID-19, caused by SARS-COV-2, may be more severe in asthma patients. Here, we applied integrated bioinformatics to identify potential key genes and cytokine pathways after RV infection in asthma, and analyzed changes in angiotensin-converting enzyme 2 (ACE2), the cellular receptor of SARS-COV-2. MATERIAL AND METHODS The gene expression profile dataset GSE149273 was downloaded from NCBI-GEO, which included 90 samples of non-infected, RVA, and RVC. Differentially expressed genes (DEGs) were identified using t tests in the limma R package, and subsequently investigated by GO, KEGG, and DO analysis. Moreover, the expression of ACE2 and the proportion of immune cells were further analyzed to determine the effects of RV on cytokines. RESULTS A total of 555 DEGs of RVA and 421 of RVC were identified. There were 415 DEGs in RVA and RVC, of which 406 were upregulated and 9 were downregulated. The functional enrichment analysis showed that most DEGs were obviously enriched in cytokines, and were mainly enriched in \"influenza\" and \"hepatitis C, chronic\". In addition, the expression of ACE2 increased significantly and the proportion of immune cytokines significantly changed after RV infection. Our results suggest that RV can activate the cytokine pathway associated with COVID-19 by increasing ACE2. CONCLUSIONS The DEGs and related cytokine pathways after asthma RV infection identified using integrated bioinformatics in this study elucidate the potential link between RV and COVID-19.", "claims": [{"id": "claim-method", "statement": "The t test method in the limma R package was subsequently used to identify DEGs between RVA and RVC infected samples and non-infected samples, respectively.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33315853", "locator": "sections[4] \"Expression analysis of DEGs\" paragraph 2", "quote": "The t test method in the limma R package was subsequently used to identify DEGs between RVA and RVC infected samples and non-infected samples, respectively."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE149273 profile dataset was downloaded from the NCBI-GEO database (https://www.ncbi.nlm.nih.gov/geo/). The platform for GSE149273 is GPL21290 Illumina HiSeq 3000 (Homo sapiens), which includes 90 samples from 30 asthma patients with non-infection, RVA, and RVC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33315853", "locator": "sections[3] \"Dataset sources\" paragraph 2", "quote": "The GSE149273 profile dataset was downloaded from the NCBI-GEO database (https://www.ncbi.nlm.nih.gov/geo/). The platform for GSE149273 is GPL21290 Illumina HiSeq 3000 (Homo sapiens), which includes 90 samples from 30 asthma patients with non-infection, RVA, and RVC."}], "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:33315853"], "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:GSE149273"], "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:GSE149273"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33315853", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12659/MSM.928861", "sha256": "sha256:4d8184b6c29d993758f8cf30f250c3ba74d3a2df558224c97949b79b3efffb6f", "bytes": 29375, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.12659/MSM.928861", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7747473", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE149273", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE149273", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE149273", "version": null, "note": "The GSE149273 profile dataset was downloaded from the NCBI-GEO database (https://www.ncbi.nlm.nih.gov/geo/). The platform for GSE149273 is GPL21290 Illumina HiSeq 3000 (Homo sapiens), which includes 90 samples from 30 asthma patients with non-infection, RVA, and RVC.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The GSE149273 profile dataset was downloaded from the NCBI-GEO database (https://www.ncbi.nlm.nih.gov/geo/). The platform for GSE149273 is GPL21290 Illumina HiSeq 3000 (Homo sapiens), which includes 90 samples from 30 asthma patients with non-infection, RVA, and RVC.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM4495277", "GSM4495278", "GSM4495279", "GSM4495280", "GSM4495281", "GSM4495282", "GSM4495283", "GSM4495284", "GSM4495285", "GSM4495286", "GSM4495287", "GSM4495288", "GSM4495289", "GSM4495290", "GSM4495291", "GSM4495292", "GSM4495293", "GSM4495294", "GSM4495295", "GSM4495296", "GSM4495297", "GSM4495298", "GSM4495299", "GSM4495300", "GSM4495301", "GSM4495302", "GSM4495303", "GSM4495304", "GSM4495305", "GSM4495306", "GSM4495307", "GSM4495308", "GSM4495309", "GSM4495310", "GSM4495311", "GSM4495312", "GSM4495313", "GSM4495314", "GSM4495315", "GSM4495316", "GSM4495317", "GSM4495318", "GSM4495319", "GSM4495320", "GSM4495321", "GSM4495322", "GSM4495323", "GSM4495324", "GSM4495325", "GSM4495326", "GSM4495327", "GSM4495328", "GSM4495329", "GSM4495330", "GSM4495331", "GSM4495332", "GSM4495333", "GSM4495334", "GSM4495335", "GSM4495336", "GSM4495337", "GSM4495338", "GSM4495339", "GSM4495340", "GSM4495341", "GSM4495342", "GSM4495343", "GSM4495344", "GSM4495345", "GSM4495346", "GSM4495347", "GSM4495348", "GSM4495349", "GSM4495350", "GSM4495351", "GSM4495352", "GSM4495353", "GSM4495354", "GSM4495355", "GSM4495356", "GSM4495357", "GSM4495358", "GSM4495359", "GSM4495360", "GSM4495361", "GSM4495362", "GSM4495363", "GSM4495364", "GSM4495365", "GSM4495366"], "sample_count": 90, "group_sizes": null, "group_sizes_basis": null, "platform": "21290", "taxon": "Homo sapiens", "title": "RV infections in asthmatics increase ACE2 expression and stimulate cytokine pathways implicated in COVID19", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:33315853:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:b44e9801b94bbbb0e1ab25a32151d60f7081db8282ab339a6a12a72f273fd9d0", "bytes": 3355, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[8]/table-wrap[1]#t1-medscimonit-26-e928861", "version": null, "note": "415 DEGs in the intersection of FVA and FVC.", "structure": {"pmcid": "PMC7747473", "section_index": 8, "section_title": "Data information and identification of DEGs", "row_count": 3, "column_count": 2}, "table": {"label": "Table 1", "caption": "415 DEGs in the intersection of FVA and FVC.", "rows": [["DEGs", "Genes"], ["Upregulated", "IRF7, MX2, CMPK2, TRIM25, OAS3, IFIT5, DDX60L, RSAD2, MX1, IFI16, ADAR, USP18, STAT1, PNPT1, TRIM14, OAS1, OAS2, XAF1, IFIT1, DHX58, DDX58, CMTR1, RTP4, PARP12, SP100, EPSTI1, IFIT2, PARP9, IFI35, HERC6, LAMP3, UBE2L6, SAMD9L, PLSCR1, HERC5, OASL, IFIT3, C19orf66, IFI44, TRANK1, SP110, HSH2D, DTX3L, ISG15, IFIH1, ZC3HAV1, PARP10, TRIM21, DDX60, PARP14, IFITM1, NMI, SLC25A28, ISG20, ETV7, STAT2, NLRC5, TRIM5, MYD88, TDRD7, SMCHD1, XRN1, TRIM22, PHF11, SAMD9, GTPBP2, RNF213, NT5C3A, LAP3, ZCCHC2, FAM46A, IFI44L, TREX1, SCO2, GTPBP1, PML, FBXO6, TOR1B, PLEKHA4, UBA7, AIM2, TNFSF10, TAP1, NUB1, GBP4, LMO2, MOV10, APOL6, TAPSAR1, GBP1, SCAMP1-AS1, STARD5, EIF2AK2, N4BP1, BST2, TYMP, IFITM3, IRF9, HELZ2, RNF19B, HLA-E, MOB3C, LGALS9, CNP, SPATS2L, ZNFX1, GMPR, OPTN, CXCL10, C5orf56, RBCK1, APOBEC3G, HDX, CSRNP1, SECTM1, PRKD2, PSMB8, FBXO39, TTC39B, PSMB9, WARS, IRF1, BATF2, TRIM38, LGALS17A, LY6E, IFI6, JAK2, CLEC7A, SAMHD1, SP140L, EXOC3L1, PI4K2B, NUPR1, SIDT1, PCGF5, IFNL3, CASP1, ACSL1, EHD4, CD68, TAP2, SLFN5, TLR3, LOC101927027, TRIB2, LIFR, GRIP2, ACE2, MASTL, BCL2L14, TRAFD1, PRICKLE4, APOL2, BCL3, GBP5, BTC, PIK3AP1, SLC15A3, NFE2L3, ZBP1, ZFYVE26, RASGRP3, TMEM140, ZC3H12A, KIAA1551, CTRL, MLKL, NFKBIA, LYSMD2, MAB21L2, GNB4, C17orf67, GBP1P1, DUOX2, PMAIP1, USP30-AS1, SOD2, CIITA, OGFR, LYPD5, APOBEC3A, IFNL1, AKAP7, ACKR4, TNFAIP3, RBMS2, HESX1, HTR2B, MXD1, IL4I1, BLZF1, DUOXA2, NCOA7, RBM11, HRASLS2, SUSD3, FGD2, CCL5, IFI27, TICAM1, CCDC109B, APOBEC3F, GCH1, IL22RA1, TNFSF13B, C19orf38, IKBKE, IFNL2, CASP10, LRRN2, PPM1K, CD7, APOL3, IRAK2, NFKBIZ, UBQLNL, C21orf91, IL7, HLA-F, CD38, RELB, GCNT4, RHBDF2, CX3CL1, CD83, TNFRSF6B, PPM1J, TAGAP, BTN3A3, TMEM229B, FFAR2, CARD16, SOCS1, STX11, OVOL1, IL19, BIRC3, GLRX, CPNE5, MAFF, CXorf49, CXorf49B, CEACAM1, SEC16B, PRDM1, ADCY4, ATF3, LINC00623, TLR2, IFITM2, NRG2, BBC3, SOCS3, KIAA0226, CXCL11, CXCL9, IL15RA, LAG3, STARD4, IDO1, SOCS2, ICOSLG, C1GALT1, FANCA, KCNQ4, NCF1, C10orf105, AP5B1, TMEM171, GBP2, HK2, BRIP1, RAB43, MUC13, IFI30, NCF1C, SP140, HAPLN3, ARID5A, SLC16A1, CD274, KLHDC7B, CACNA1A, CSF3, MAP2, CCL20, TMEM106A, SERPING1, TNFAIP2, CLCA3P, TNIP3, DLG2, CXCL8, MAPK8IP2, IL17C, PLAUR, NEURL3, PROX1, APOBEC3B, TNF, MB21D1, THEMIS2, FRMD3, HBEGF, BRCA2, DUXAP10, TMEM92, DUSP5, EXOC3L4, APOL4, C11orf82, RIMS2, C15orf48, C2CD4B, NOV, ADAM8, SLFN12, MICB, GBP3, GRIN3A, C1R, LOC102724163, SEMA3D, IL2RG, LOC645638, FGF2, FAM169B, LOC100294362, MT2A, ABCD1, ZNF618, LRRC3, SAA4, CYP21A1P, SLC26A4-AS1, SERPINB9, SERPINB9P1, BATF, LOC388692, TLDC2, IL36G, PRRX2, TGM1, ELOVL7, CXCL3, TNFRSF10A, RTKN2, CCL22, HDAC9, ATP10A, IL6, SBK1, BCL2A1, DOC2B, C2CD4A, C1S, ADM, HCG4B, PTPRH, HCAR3, PDCD1LG2, C8orf4, CXCL2, STS, RET, NOS2, SLC26A4, SLCO4A1, SELL, NTNG2, HLA-J, RND1, CFB, XDH, MMP13, TRIM31, SAA2, SPRR2A, PTGS2, MTNR1A, AKAP2, ACHE, DEFB4A, ICAM1, EREG, SPRR2F, CH25H, IL1RN, NEXN, CSF1, HSPA6, LOC554223, APOL1, SLAMF7, LIF, MEF2C, SSC5D, TGM2, ZDHHC14, CXCL13, ERAP2, ANGPTL4, SH2D1B, THSD1, PLA2G4E"], ["Downregulated", "C20orf195, FAM13C, HPX, INHBB, GPATCH11, PTGFR, PRR18, SLC16A14, SLC47A2"]], "row_count": 3, "column_count": 2, "numeric_cells": 2, "header_rows": 1, "locator": "section[8]/table-wrap[1]#t1-medscimonit-26-e928861"}}, {"id": "asset:table:pmid:33315853:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:08cc4c06ea5d4eed0f58bfce0058233eed081ed3837bccebe807f8a351ef1212", "bytes": 1637, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[1]#t2-medscimonit-26-e928861", "version": null, "note": "GO functional annotation for the most significantly related targets of 415 DEGs.", "structure": {"pmcid": "PMC7747473", "section_index": 9, "section_title": "Functional enrichment analysis", "row_count": 23, "column_count": 4}, "table": {"label": "Table 2", "caption": "GO functional annotation for the most significantly related targets of 415 DEGs.", "rows": [["GO ID", "GO Term", "Count", "P-value"], ["BP"], ["GO: 0009615", "Response to virus", "75", "9.27E-60"], ["GO: 0051607", "Defense response to virus", "67", "1.20E-59"], ["GO: 0034341", "Response to interferon-gamma", "51", "5.09E-43"], ["GO: 0060337", "Type I interferon signaling pathway", "38", "1.25E-40"], ["GO: 0071357", "Cellular response to type i interferon", "38", "1.25E-40"], ["GO: 0034340", "Response to type i interferon", "38", "8.46E-40"], ["GO: 0071346", "Cellular response to interferon-gamma", "45", "1.81E-37"], ["GO: 0048525", "Negative regulation of viral process", "33", "2.80E-32"], ["GO: 0060333", "Interferon-gamma-mediated signaling pathway", "32", "3.39E-32"], ["GO: 1903901", "Negative regulation of viral life cycle", "31", "8.43E-32"], ["MF"], ["GO: 0005125", "Cytokine activity", "29", "1.03E-15"], ["GO: 0048018", "Receptor ligand activity", "39", "1.62E-13"], ["GO: 0005126", "Cytokine receptor binding", "29", "9.81E-13"], ["GO: 0042379", "Chemokine receptor binding", "13", "5.95E-10"], ["GO: 0008009", "Chemokine activity", "11", "2.92E-09"], ["GO: 0045236", "CXCR chemokine receptor binding", "6", "2.79E-08"], ["GO: 0003725", "Double-stranded RNA binding", "12", "3.25E-08"], ["GO: 0016814", "Hydrolase activity, acting on carbon-nitrogen (but not peptide) bonds, in cyclic amidines", "7", "4.39E-06"], ["GO: 0042056", "Chemoattractant activity", "7", "9.61E-06"], ["GO: 0048020", "CCR chemokine receptor binding", "7", "2.25E-05"]], "row_count": 23, "column_count": 4, "numeric_cells": 60, "header_rows": 1, "locator": "section[9]/table-wrap[1]#t2-medscimonit-26-e928861"}}, {"id": "asset:table:pmid:33315853:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:1ab9fe2c14fc59367c9c193f87f770f3faae42816742f246a401aae46d3242d7", "bytes": 2121, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[2]#t3-medscimonit-26-e928861", "version": null, "note": "KEGG functional annotation for 415 DEGs.", "structure": {"pmcid": "PMC7747473", "section_index": 9, "section_title": "Functional enrichment analysis", "row_count": 33, "column_count": 4}, "table": {"label": "Table 3", "caption": "KEGG functional annotation for 415 DEGs.", "rows": [["KEGG ID", "KEGG Term", "Count", "P-value"], ["hsa05164", "Influenza A", "33", "4.44E-20"], ["hsa04621", "NOD-like receptor signaling pathway", "30", "2.20E-16"], ["hsa04060", "Cytokine-cytokine receptor interaction", "34", "1.28E-13"], ["hsa04061", "Viral protein interaction with cytokine and cytokine receptor", "20", "7.62E-13"], ["hsa04668", "TNF signaling pathway", "20", "7.04E-12"], ["hsa05162", "Measles", "22", "7.43E-12"], ["hsa05169", "Epstein-Barr virus infection", "24", "3.95E-10"], ["hsa05160", "Hepatitis C", "20", "3.30E-09"], ["hsa04064", "NF-kappa B signaling pathway", "16", "9.32E-09"], ["hsa04657", "IL-17 signaling pathway", "15", "1.65E-08"], ["hsa05167", "Kaposi sarcoma-associated herpesvirus infection", "21", "1.77E-08"], ["hsa04630", "JAK-STAT signaling pathway", "19", "3.65E-08"], ["hsa04623", "Cytosolic DNA-sensing pathway", "12", "6.12E-08"], ["hsa04620", "Toll-like receptor signaling pathway", "15", "6.73E-08"], ["hsa04622", "RIG-I-like receptor signaling pathway", "12", "2.08E-07"], ["hsa04625", "C-type lectin receptor signaling pathway", "14", "4.49E-07"], ["hsa04217", "Necroptosis", "17", "7.52E-07"], ["hsa05134", "Legionellosis", "10", "1.77E-06"], ["hsa04062", "Chemokine signaling pathway", "18", "1.94E-06"], ["hsa05133", "Pertussis", "11", "3.86E-06"], ["hsa05161", "Hepatitis B", "16", "4.60E-06"], ["hsa05168", "Herpes simplex virus 1 infection", "29", "2.77E-05"], ["hsa05323", "Rheumatoid arthritis", "11", "2.78E-05"], ["hsa05170", "Human immunodeficiency virus 1 infection", "16", "0.000129"], ["hsa05145", "Toxoplasmosis", "11", "0.000155"], ["hsa05140", "Leishmaniasis", "9", "0.000166"], ["hsa05144", "Malaria", "7", "0.000289"], ["hsa05143", "African trypanosomiasis", "6", "0.00035"], ["hsa05235", "PD-L1 expression and PD-1 checkpoint pathway in cancer", "9", "0.000498"], ["hsa04612", "Antigen processing and presentation", "8", "0.000928"], ["hsa04930", "Type II diabetes mellitus", "6", "0.00116"], ["hsa05142", "Chagas disease (American trypanosomiasis)", "9", "0.001339"]], "row_count": 33, "column_count": 4, "numeric_cells": 100, "header_rows": 1, "locator": "section[9]/table-wrap[2]#t3-medscimonit-26-e928861"}}], "gaps": ["asset:data:geo:GSE149273 not downloaded", "asset:data:geo:GSE149273 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The t test method in the limma R package was subsequently used to identify DEGs between RVA and RVC infected samples and non-infected samples, respectively."}}], "targets": [], "gaps": []}, "capability": 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