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| Status |
Public on May 17, 2021 |
| Title |
Different expression of microRNAs in human sepsis |
| Organism |
Homo sapiens |
| Experiment type |
Non-coding RNA profiling by array
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| Summary |
To obtain novel biomarkers that serve as prompt indicators of sepsis, we aimed to screen out the differentially expressed miRNAs (DEMs) contribute to sepsis susceptibility and analyze the correlation of DEMs with inflammatory response. This case-control study included 40 sepsis patients and 40 physical examination donors as a control group. RNA-seq technology and bioinformatics analysis were used to screen out the DEMs between sepsis patients and normal people. The expression of these DEMs were subsequently verified by qRT-PCR. There were 305 DEMs (p<0. 05, |Fold change| ≥2) between sepsis and normal people were identified and top eighteen upregulated or downregulated miRNAs were picked out for QRT-PCR verification. Among them, 11 DEMs were high expression while 7 DEMs were low expression. Collectively, miRNA-3663-3p may be a potentially powerful diagnostic and predictive biomarker for sepsis.
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| Overall design |
This case-control study included 40 sepsis patients and 40 physical examination donors as a control group. RNA-seq technology and bioinformatics analysis were used to screen out the DEMs between sepsis patients and normal people. The expression of these DEMs were subsequently verified by qRT-PCR. In addition, interleukin-6 (IL-6), IL-21, CXCL-8, monocyte chemotactic protein-1 (MCP-1), and molecular determination of the expression levels of TDAG8 and TLR4 mRNA were assessed. Finally, the relationship between miRNA-3663-3p and pro-inflammatory cytokines secretion or TDAG8/TLR4 mRNA expression were evaluated by linear correlation analysis.
This dataset includes samples from 12 sepsis patients and 6 control donors.
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| Citation(s) |
36102304 |
| Submission date |
May 16, 2021 |
| Last update date |
Oct 28, 2022 |
| Contact name |
Jingping Yang |
| E-mail(s) |
yangron@sina.com.cn
|
| Phone |
15540869942
|
| Organization name |
Inner Mongolia Medical University
|
| Street address |
Jinshan Development Zone
|
| City |
Hohhot, Inner Mongolia |
| ZIP/Postal code |
010110 |
| Country |
China |
| |
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| Platforms (1) |
| GPL25134 |
Agilent-070156 Human_miRNA_V21.0_Microarray 046064 (miRNA ID version) |
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| Samples (18)
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| Relations |
| BioProject |
PRJNA730308 |
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