| Autor: |
Yahong Chen, Qiaowen Wang, Shujin Lin, Jinglan Lai, Jing Lin, Wen Ao, Xiao Han, Hanhui Ye |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Frontiers in Cellular and Infection Microbiology, Vol 11 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2235-2988 |
| DOI: |
10.3389/fcimb.2021.585919 |
| Popis: |
Biomarkers are critical for rapid diagnosis of tuberculosis (TB) and could benefit patients with AIDS where diagnosis of TB co-infection is challenging. Meta-analysis is an approach to combine the results of the studies with standard statistical method by weighting each study with different sample size. This study aimed to use meta-analysis to integrate transcriptome datasets from different studies and screen for TB biomarkers in patients who were HIV-positive. Five datasets were subjected to meta-analysis on whole-blood transcriptomes from 640 patients infected with HIV. A total of 293 differentially expressed genes (DEGs) were identified as significant (P0.90 for HIV+TB) in clinical trial and suggests that meta-analysis is an efficient method to integrate transcriptome datasets from different studies. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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