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pmid:30497506

Genomics of neonatal sepsis: has-miR-150 targeting BCL11B functions in disease progression.

Li Huang · Lixing Qiao · Huan Zhu · Li Jiang · Liping Yin

Italian journal of pediatrics · 2018 doi:10.1186/s13052-018-0575-9

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complete

Experiment

complete

Data

partial

Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:30497506
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science-record
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2026-11-01T15:40:39Z
updated_at
2026-11-01T22:43:39Z
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paper object · 10 fields
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title
Genomics of neonatal sepsis: has-miR-150 targeting BCL11B functions in disease progression.
doi
10.1186/s13052-018-0575-9
pmid
30497506
authors array · 5 items
[0]
Li Huang
[1]
Lixing Qiao
[2]
Huan Zhu
[3]
Li Jiang
[4]
Liping Yin
journal
Italian journal of pediatrics
year
2018
abstract
BACKGROUND: Neonatal sepsis is an inflammatory systemic syndrome, which is a major cause of morbidity and mortality in premature infants. We analyzed the expression profile data of E-MTAB-4785 to reveal the pathogenesis of the disease. METHODS: The expression profile dataset E-MTAB-4785, which contained 17 sepsis samples and 19 normal samples, was obtained from the ArrayExpress database. The differentially expressed genes (DEGs) were analyzed by the Bayesian testing method in limma package. Based on the DAVID online tool, enrichment analysis was conducted for the DEGs. Using STRING database and Cytoscape software, protein-protein interaction (PPI) network and module analyses were performed. Besides, transcription factor (TF)-DEG regulatory network was also constructed by Cytoscape software. Additionally, miRNA-DEG pairs were searched using miR2Disease and miRWalk 2.0 databases, followed by miRNA-DEG regulatory network was visualized by Cytoscape software. RESULTS: A total of 275 DEGs were identified from the sepsis samples in comparison to normal samples. TSPO, MAPK14, and ZAP70 were the hub nodes in the PPI network. Pathway enrichment analysis indicated that CEBPB and MAPK14 were enriched in TNF signaling pathway. Moreover, CEBPB and has-miR-150 might function in neonatal sepsis separately through targeting MAPK14 and BCL11B in the regulatory networks. These genes and miRNA might be novel targets for the clinical treatment of neonatal sepsis. CONCLUSION: TSPO, ZAP70, CEBPB targeting MAPK14, has-miR-150 targeting BCL11B might affect the pathogenesis of neonatal sepsis. However, their roles in neonatal sepsis still needed to be confirmed by further experimental researches.
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The Bayesian testing method [16] in limma package (http://www.bioconductor.org/packages/release/bioc/html/limma.html) [17] was utilized to identify the DEGs between the two group samples. The p-values were conducted with multiple testing adjustment based on the Benjamini & Hochberg method [18].
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sections[4] "Data preprocessing and differentially expressed genes (DEGs) screening" paragraph 2
quote
The Bayesian testing method [16] in limma package (http://www.bioconductor.org/packages/release/bioc/html/limma.html) [17] was utilized to identify the DEGs between the two group samples. The p-values were conducted with multiple testing adjustment based on the Benjamini & Hochberg method [18].
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The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
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sections[16] "ack" paragraph 1
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The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
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Functional and pathway enrichment analysis
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The functions and pathways enriched for the up-regulated genes
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Category
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Description
[2]
P-value
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Gene number
[1] array · 4 items
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BP
[1]
GO:0071222~cellular response to lipopolysaccharide
[2]
3.05E-06
[3]
10
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GO:0051384~response to glucocorticoid
[1]
1.75E-05
[2]
8
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GO:0006955~immune response
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6.59E-05
[2]
14
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GO:0045766~positive regulation of angiogenesis
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1.31E-04
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3.22E-04
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22
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CC
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GO:0070062~extracellular exosome
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3.26E-06
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3.15E-05
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29
[8] array · 3 items
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1.58E-04
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59
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2.03E-03
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[10] array · 3 items
[0]
GO:0031093~platelet alpha granule lumen
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1.08E-02
[2]
4
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MF
[1]
GO:0035035~histone acetyltransferase binding
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2.54E-03
[3]
4
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[0]
GO:0001077~transcriptional activator activity, RNA polymerase II core promoter proximal region sequence-specific binding
[1]
9.14E-03
[2]
8
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GO:0002020~protease binding
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1.40E-02
[2]
5
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GO:0016787~hydrolase activity
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1.56E-02
[2]
5
[15] array · 3 items
[0]
GO:0019899~enzyme binding
[1]
1.88E-02
[2]
9
[16] array · 4 items
[0]
Pathway
[1]
hsa04668:TNF signaling pathway
[2]
3.65E-06
[3]
10
[17] array · 3 items
[0]
hsa05150:Staphylococcus aureus infection
[1]
3.23E-04
[2]
6
[18] array · 3 items
[0]
hsa05142:Chagas disease (American trypanosomiasis)
[1]
7.74E-03
[2]
6
[19] array · 3 items
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[2]
6
[20] array · 3 items
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6
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The functions and pathways enriched for the down-regulated genes
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Functional and pathway enrichment analysis
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Table 2
caption
The functions and pathways enriched for the down-regulated genes
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[0] array · 4 items
[0]
Category
[1]
Description
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P-value
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GO:0050776~regulation of immune response
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4.11E-15
[3]
15
[2] array · 3 items
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GO:0007166~cell surface receptor signaling pathway
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2.56E-06
[2]
11
[3] array · 3 items
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GO:0050852~T cell receptor signaling pathway
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8.71E-05
[2]
7
[4] array · 3 items
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GO:0072678~T cell migration
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3.56E-04
[2]
3
[5] array · 3 items
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GO:0045059~positive thymic T cell selection
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8.47E-04
[2]
3
[6] array · 4 items
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CC
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GO:0042101~T cell receptor complex
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1.22E-10
[3]
7
[7] array · 3 items
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GO:0005886~plasma membrane
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1.40E-04
[2]
35
[8] array · 3 items
[0]
GO:0042105~alpha-beta T cell receptor complex
[1]
2.26E-04
[2]
3
[9] array · 3 items
[0]
GO:0001772~immunological synapse
[1]
5.25E-04
[2]
4
[10] array · 3 items
[0]
GO:0009897~external side of plasma membrane
[1]
4.83E-03
[2]
6
[11] array · 4 items
[0]
MF
[1]
GO:0004888~transmembrane signaling receptor activity
[2]
4.20E-06
[3]
9
[12] array · 3 items
[0]
GO:1990405~protein antigen binding
[1]
4.46E-04
[2]
3
[13] array · 3 items
[0]
GO:0030246~carbohydrate binding
[1]
1.62E-03
[2]
6
[14] array · 3 items
[0]
GO:0023024~MHC class I protein complex binding
[1]
1.40E-02
[2]
2
[15] array · 3 items
[0]
GO:0032393~MHC class I receptor activity
[1]
2.31E-02
[2]
2
[16] array · 4 items
[0]
Pathway
[1]
hsa04660:T cell receptor signaling pathway
[2]
4.90E-07
[3]
8
[17] array · 3 items
[0]
hsa04672:Intestinal immune network for IgA production
[1]
7.58E-05
[2]
5
[18] array · 3 items
[0]
hsa05340:Primary immunodeficiency
[1]
5.41E-04
[2]
4
[19] array · 3 items
[0]
hsa04514:Cell adhesion molecules (CAMs)
[1]
5.95E-04
[2]
6
[20] array · 3 items
[0]
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[1]
2.80E-03
[2]
5
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The top 15 nodes in the protein-protein interaction (PPI) network
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PMC6267077
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PPI network and module analyses
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Table 3
caption
The top 15 nodes in the protein-protein interaction (PPI) network
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[0] array · 6 items
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Node
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DC
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[1] array · 6 items
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TSPO
[1]
42
[2]
TSPO
[3]
8787.401
[4]
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[5]
0.084416
[2] array · 6 items
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MAPK14
[1]
30
[2]
MAPK14
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3945.718
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MAPK14
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0.082755
[3] array · 6 items
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ZAP70
[1]
18
[2]
ZAP70
[3]
2945.19
[4]
ZAP70
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0.081621
[4] array · 6 items
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ICAM1
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18
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PLEK
[3]
1416.809
[4]
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[5]
0.081481
[5] array · 6 items
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MMP9
[1]
16
[2]
CD40LG
[3]
1228.869
[4]
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[5]
0.081066
[6] array · 6 items
[0]
GATA3
[1]
13
[2]
GATA3
[3]
1149.809
[4]
NFATC2
[5]
0.080882
[7] array · 6 items
[0]
PPARG
[1]
13
[2]
PPP3CC
[3]
1065.391
[4]
THBS1
[5]
0.080609
[8] array · 6 items
[0]
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[1]
12
[2]
SLC2A3
[3]
878.1572
[4]
MMP9
[5]
0.080609
[9] array · 6 items
[0]
HIF1A
[1]
12
[2]
PDE7A
[3]
786
[4]
NFKBIA
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0.080473
[10] array · 6 items
[0]
CD40LG
[1]
11
[2]
LDHA
[3]
778.0661
[4]
GATA3
[5]
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[11] array · 6 items
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THBS1
[1]
11
[2]
NFKBIA
[3]
706.2174
[4]
HIF1A
[5]
0.080292
[12] array · 6 items
[0]
CEBPB
[1]
11
[2]
GNA15
[3]
660.3287
[4]
CEBPB
[5]
0.080247
[13] array · 6 items
[0]
SOCS3
[1]
10
[2]
HIF1A
[3]
614.6019
[4]
PPARG
[5]
0.080157
[14] array · 6 items
[0]
IRF1
[1]
10
[2]
CD3E
[3]
583.8388
[4]
SOCS3
[5]
0.080157
[15] array · 6 items
[0]
PLEK
[1]
9
[2]
CD82
[3]
550.5645
[4]
PLEK
[5]
0.079844
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PPI network and module analyses
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Table 4
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The pathways enriched for the genes involved in module 1
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[1] array · 3 items
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[1]
3
[2]
4.59E-03
[2] array · 3 items
[0]
hsa05200:Pathways in cancer
[1]
4
[2]
5.42E-03
[3] array · 3 items
[0]
hsa04380:Osteoclast differentiation
[1]
3
[2]
6.97E-03
[4] array · 3 items
[0]
hsa05160:Hepatitis C
[1]
3
[2]
7.18E-03
[5] array · 3 items
[0]
hsa05205:Proteoglycans in cancer
[1]
3
[2]
1.57E-02
[6] array · 3 items
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hsa05144:Malaria
[1]
2
[2]
4.87E-02
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The functions and pathways enriched for the up-regulated genes
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Functional and pathway enrichment analysis
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Table 1
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The functions and pathways enriched for the up-regulated genes
rows array · 21 items
[0] array · 4 items
[0]
Category
[1]
Description
[2]
P-value
[3]
Gene number
[1] array · 4 items
[0]
BP
[1]
GO:0071222~cellular response to lipopolysaccharide
[2]
3.05E-06
[3]
10
[2] array · 3 items
[0]
GO:0051384~response to glucocorticoid
[1]
1.75E-05
[2]
8
[3] array · 3 items
[0]
GO:0006955~immune response
[1]
6.59E-05
[2]
14
[4] array · 3 items
[0]
GO:0045766~positive regulation of angiogenesis
[1]
1.31E-04
[2]
8
[5] array · 3 items
[0]
GO:0045087~innate immune response
[1]
3.22E-04
[2]
22
[6] array · 4 items
[0]
CC
[1]
GO:0070062~extracellular exosome
[2]
3.26E-06
[3]
51
[7] array · 3 items
[0]
GO:0005615~extracellular space
[1]
3.15E-05
[2]
29
[8] array · 3 items
[0]
GO:0005886~plasma membrane
[1]
1.58E-04
[2]
59
[9] array · 3 items
[0]
GO:0016020~membrane
[1]
2.03E-03
[2]
32
[10] array · 3 items
[0]
GO:0031093~platelet alpha granule lumen
[1]
1.08E-02
[2]
4
[11] array · 4 items
[0]
MF
[1]
GO:0035035~histone acetyltransferase binding
[2]
2.54E-03
[3]
4
[12] array · 3 items
[0]
GO:0001077~transcriptional activator activity, RNA polymerase II core promoter proximal region sequence-specific binding
[1]
9.14E-03
[2]
8
[13] array · 3 items
[0]
GO:0002020~protease binding
[1]
1.40E-02
[2]
5
[14] array · 3 items
[0]
GO:0016787~hydrolase activity
[1]
1.56E-02
[2]
5
[15] array · 3 items
[0]
GO:0019899~enzyme binding
[1]
1.88E-02
[2]
9
[16] array · 4 items
[0]
Pathway
[1]
hsa04668:TNF signaling pathway
[2]
3.65E-06
[3]
10
[17] array · 3 items
[0]
hsa05150:Staphylococcus aureus infection
[1]
3.23E-04
[2]
6
[18] array · 3 items
[0]
hsa05142:Chagas disease (American trypanosomiasis)
[1]
7.74E-03
[2]
6
[19] array · 3 items
[0]
hsa04380:Osteoclast differentiation
[1]
1.90E-02
[2]
6
[20] array · 3 items
[0]
hsa04910:Insulin signaling pathway
[1]
2.39E-02
[2]
6
locator
section[10]/table-wrap[1]#Tab1
[7] object · 16 fields
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asset:table:pmid:30497506:6
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jats-table
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sha256:88f3cdf8c86dfdbb8a6385a2d1cdd62a1db21d885d5efa9131e487cb0b8c4625
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read_table
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section[10]/table-wrap[2]#Tab2
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note
The functions and pathways enriched for the down-regulated genes
structure object · 5 fields
pmcid
PMC6267077
section_index
10
section_title
Functional and pathway enrichment analysis
row_count
21
column_count
4
table object · 8 fields
label
Table 2
caption
The functions and pathways enriched for the down-regulated genes
rows array · 21 items
[0] array · 4 items
[0]
Category
[1]
Description
[2]
P-value
[3]
Gene number
[1] array · 4 items
[0]
BP
[1]
GO:0050776~regulation of immune response
[2]
4.11E-15
[3]
15
[2] array · 3 items
[0]
GO:0007166~cell surface receptor signaling pathway
[1]
2.56E-06
[2]
11
[3] array · 3 items
[0]
GO:0050852~T cell receptor signaling pathway
[1]
8.71E-05
[2]
7
[4] array · 3 items
[0]
GO:0072678~T cell migration
[1]
3.56E-04
[2]
3
[5] array · 3 items
[0]
GO:0045059~positive thymic T cell selection
[1]
8.47E-04
[2]
3
[6] array · 4 items
[0]
CC
[1]
GO:0042101~T cell receptor complex
[2]
1.22E-10
[3]
7
[7] array · 3 items
[0]
GO:0005886~plasma membrane
[1]
1.40E-04
[2]
35
[8] array · 3 items
[0]
GO:0042105~alpha-beta T cell receptor complex
[1]
2.26E-04
[2]
3
[9] array · 3 items
[0]
GO:0001772~immunological synapse
[1]
5.25E-04
[2]
4
[10] array · 3 items
[0]
GO:0009897~external side of plasma membrane
[1]
4.83E-03
[2]
6
[11] array · 4 items
[0]
MF
[1]
GO:0004888~transmembrane signaling receptor activity
[2]
4.20E-06
[3]
9
[12] array · 3 items
[0]
GO:1990405~protein antigen binding
[1]
4.46E-04
[2]
3
[13] array · 3 items
[0]
GO:0030246~carbohydrate binding
[1]
1.62E-03
[2]
6
[14] array · 3 items
[0]
GO:0023024~MHC class I protein complex binding
[1]
1.40E-02
[2]
2
[15] array · 3 items
[0]
GO:0032393~MHC class I receptor activity
[1]
2.31E-02
[2]
2
[16] array · 4 items
[0]
Pathway
[1]
hsa04660:T cell receptor signaling pathway
[2]
4.90E-07
[3]
8
[17] array · 3 items
[0]
hsa04672:Intestinal immune network for IgA production
[1]
7.58E-05
[2]
5
[18] array · 3 items
[0]
hsa05340:Primary immunodeficiency
[1]
5.41E-04
[2]
4
[19] array · 3 items
[0]
hsa04514:Cell adhesion molecules (CAMs)
[1]
5.95E-04
[2]
6
[20] array · 3 items
[0]
hsa04650:Natural killer cell mediated cytotoxicity
[1]
2.80E-03
[2]
5
locator
section[10]/table-wrap[2]#Tab2
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asset:table:pmid:30497506:7
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jats-table
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The top 15 nodes in the protein-protein interaction (PPI) network
structure object · 5 fields
pmcid
PMC6267077
section_index
11
section_title
PPI network and module analyses
row_count
16
column_count
6
table object · 8 fields
label
Table 3
caption
The top 15 nodes in the protein-protein interaction (PPI) network
rows array · 16 items
[0] array · 6 items
[0]
Node
[1]
DC
[2]
Node
[3]
BC
[4]
Node
[5]
CC
[1] array · 6 items
[0]
TSPO
[1]
42
[2]
TSPO
[3]
8787.401
[4]
TSPO
[5]
0.084416
[2] array · 6 items
[0]
MAPK14
[1]
30
[2]
MAPK14
[3]
3945.718
[4]
MAPK14
[5]
0.082755
[3] array · 6 items
[0]
ZAP70
[1]
18
[2]
ZAP70
[3]
2945.19
[4]
ZAP70
[5]
0.081621
[4] array · 6 items
[0]
ICAM1
[1]
18
[2]
PLEK
[3]
1416.809
[4]
ICAM1
[5]
0.081481
[5] array · 6 items
[0]
MMP9
[1]
16
[2]
CD40LG
[3]
1228.869
[4]
CD40LG
[5]
0.081066
[6] array · 6 items
[0]
GATA3
[1]
13
[2]
GATA3
[3]
1149.809
[4]
NFATC2
[5]
0.080882
[7] array · 6 items
[0]
PPARG
[1]
13
[2]
PPP3CC
[3]
1065.391
[4]
THBS1
[5]
0.080609
[8] array · 6 items
[0]
NFKBIA
[1]
12
[2]
SLC2A3
[3]
878.1572
[4]
MMP9
[5]
0.080609
[9] array · 6 items
[0]
HIF1A
[1]
12
[2]
PDE7A
[3]
786
[4]
NFKBIA
[5]
0.080473
[10] array · 6 items
[0]
CD40LG
[1]
11
[2]
LDHA
[3]
778.0661
[4]
GATA3
[5]
0.080292
[11] array · 6 items
[0]
THBS1
[1]
11
[2]
NFKBIA
[3]
706.2174
[4]
HIF1A
[5]
0.080292
[12] array · 6 items
[0]
CEBPB
[1]
11
[2]
GNA15
[3]
660.3287
[4]
CEBPB
[5]
0.080247
[13] array · 6 items
[0]
SOCS3
[1]
10
[2]
HIF1A
[3]
614.6019
[4]
PPARG
[5]
0.080157
[14] array · 6 items
[0]
IRF1
[1]
10
[2]
CD3E
[3]
583.8388
[4]
SOCS3
[5]
0.080157
[15] array · 6 items
[0]
PLEK
[1]
9
[2]
CD82
[3]
550.5645
[4]
PLEK
[5]
0.079844
locator
section[11]/table-wrap[1]#Tab3
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section[11]/table-wrap[2]#Tab4
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The pathways enriched for the genes involved in module 1
structure object · 5 fields
pmcid
PMC6267077
section_index
11
section_title
PPI network and module analyses
row_count
7
column_count
3
table object · 8 fields
label
Table 4
caption
The pathways enriched for the genes involved in module 1
rows array · 7 items
[0] array · 3 items
[0]
Description
[1]
Gene number
[2]
P-value
[1] array · 3 items
[0]
hsa04668:TNF signaling pathway
[1]
3
[2]
4.59E-03
[2] array · 3 items
[0]
hsa05200:Pathways in cancer
[1]
4
[2]
5.42E-03
[3] array · 3 items
[0]
hsa04380:Osteoclast differentiation
[1]
3
[2]
6.97E-03
[4] array · 3 items
[0]
hsa05160:Hepatitis C
[1]
3
[2]
7.18E-03
[5] array · 3 items
[0]
hsa05205:Proteoglycans in cancer
[1]
3
[2]
1.57E-02
[6] array · 3 items
[0]
hsa05144:Malaria
[1]
2
[2]
4.87E-02
locator
section[11]/table-wrap[2]#Tab4
[10] object · 16 fields
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asset:table:pmid:30497506:9
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jats-table
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section[12]/table-wrap[1]#Tab5
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The pathways enriched for the genes involved in the transcriptional regulatory network
structure object · 5 fields
pmcid
PMC6267077
section_index
12
section_title
Regulatory network analysis
row_count
12
column_count
3
table object · 8 fields
label
Table 5
caption
The pathways enriched for the genes involved in the transcriptional regulatory network
rows array · 12 items
[0] array · 3 items
[0]
Description
[1]
Gene number
[2]
P-value
[1] array · 3 items
[0]
hsa04668:TNF signaling pathway
[1]
7
[2]
4.89E-07
[2] array · 3 items
[0]
hsa05169:Epstein-Barr virus infection
[1]
6
[2]
2.09E-04
[3] array · 3 items
[0]
hsa04380:Osteoclast differentiation
[1]
5
[2]
5.64E-04
[4] array · 3 items
[0]
hsa04064:NF-kappa B signaling pathway
[1]
4
[2]
2.19E-03
[5] array · 3 items
[0]
hsa05145:Toxoplasmosis
[1]
4
[2]
5.20E-03
[6] array · 3 items
[0]
hsa04621:NOD-like receptor signaling pathway
[1]
3
[2]
1.19E-02
[7] array · 3 items
[0]
hsa05164:Influenza A
[1]
4
[2]
1.51E-02
[8] array · 3 items
[0]
hsa05152:Tuberculosis
[1]
4
[2]
1.58E-02
[9] array · 3 items
[0]
hsa05140:Leishmaniasis
[1]
3
[2]
1.94E-02
[10] array · 3 items
[0]
hsa05142:Chagas disease (American trypanosomiasis)
[1]
3
[2]
3.93E-02
[11] array · 3 items
[0]
hsa04620:Toll-like receptor signaling pathway
[1]
3
[2]
4.07E-02
locator
section[12]/table-wrap[1]#Tab5
gaps array · 2 items
[0]
asset:data:geo:E-MTAB-4785 not downloaded
[1]
asset:data:geo:E-MTAB-4785 licence not read
analysis object · 4 fields
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complete
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[0] object · 10 fields
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method-1
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differential_expression
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limma_voom
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Differential expression analysis
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[0]
normalise_counts
[1]
differential_expression_fit
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fdr_bh
missing_operations array · 0 items
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quote
The Bayesian testing method [16] in limma package (http://www.bioconductor.org/packages/release/bioc/html/limma.html) [17] was utilized to identify the DEGs between the two group samples. The p-values were conducted with multiple testing adjustment based on the Benjamini & Hochberg method [18].
[1] object · 10 fields
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method-2
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network_analysis
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Network / pathway analysis
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[0]
build_graph
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centrality_scores
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pathway_enrich
missing_operations array · 0 items
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evidence object · 3 fields
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protein-protein interaction
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method-3
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network_analysis
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pathway_enrich
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complete
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capability:computational_analysis
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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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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owned
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
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true
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E-MTAB-4785
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[0]
E-MTAB-4785
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The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
basis
The paper names E-MTAB-4785 in ArrayExpress and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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The Bayesian testing method [16] in limma package (http://www.bioconductor.org/packages/release/bioc/html/limma.html) [17] was utilized to identify the DEGs between the two group samples. The p-values were conducted with multiple testing adjustment based on the Benjamini & Hochberg method [18].
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30497506", "kind": "science-record", "revision": 8, "content_hash": "sha256:2067b13bcb56035ef2d6b884b3bacecbcf33a20ae45c3e1d0e0996e685d129ae", "created_at": "2026-11-01T15:40:39Z", "updated_at": "2026-11-01T22:43:39Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Genomics of neonatal sepsis: has-miR-150 targeting BCL11B functions in disease progression.", "doi": "10.1186/s13052-018-0575-9", "pmid": "30497506", "authors": ["Li Huang", "Lixing Qiao", "Huan Zhu", "Li Jiang", "Liping Yin"], "journal": "Italian journal of pediatrics", "year": 2018, "abstract": "BACKGROUND: Neonatal sepsis is an inflammatory systemic syndrome, which is a major cause of morbidity and mortality in premature infants. We analyzed the expression profile data of E-MTAB-4785 to reveal the pathogenesis of the disease.\nMETHODS: The expression profile dataset E-MTAB-4785, which contained 17 sepsis samples and 19 normal samples, was obtained from the ArrayExpress database. The differentially expressed genes (DEGs) were analyzed by the Bayesian testing method in limma package. Based on the DAVID online tool, enrichment analysis was conducted for the DEGs. Using STRING database and Cytoscape software, protein-protein interaction (PPI) network and module analyses were performed. Besides, transcription factor (TF)-DEG regulatory network was also constructed by Cytoscape software. Additionally, miRNA-DEG pairs were searched using miR2Disease and miRWalk 2.0 databases, followed by miRNA-DEG regulatory network was visualized by Cytoscape software.\nRESULTS: A total of 275 DEGs were identified from the sepsis samples in comparison to normal samples. TSPO, MAPK14, and ZAP70 were the hub nodes in the PPI network. Pathway enrichment analysis indicated that CEBPB and MAPK14 were enriched in TNF signaling pathway. Moreover, CEBPB and has-miR-150 might function in neonatal sepsis separately through targeting MAPK14 and BCL11B in the regulatory networks. These genes and miRNA might be novel targets for the clinical treatment of neonatal sepsis.\nCONCLUSION: TSPO, ZAP70, CEBPB targeting MAPK14, has-miR-150 targeting BCL11B might affect the pathogenesis of neonatal sepsis. However, their roles in neonatal sepsis still needed to be confirmed by further experimental researches.", "claims": [{"id": "claim-method", "statement": "The Bayesian testing method [16] in limma package (http://www.bioconductor.org/packages/release/bioc/html/limma.html) [17] was utilized to identify the DEGs between the two group samples. The p-values were conducted with multiple testing adjustment based on the Benjamini & Hochberg method [18].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30497506", "locator": "sections[4] \"Data preprocessing and differentially expressed genes (DEGs) screening\" paragraph 2", "quote": "The Bayesian testing method [16] in limma package (http://www.bioconductor.org/packages/release/bioc/html/limma.html) [17] was utilized to identify the DEGs between the two group samples. 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