ArticleComputational and structural biotechnology journal2021
Meta-analysis of transcriptome datasets: An alternative method to study IL-6 regulation in coronavirus disease 2019.
Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- CRISPR Technology in Cancer Diagnosis and Treatment: Opportunities and Challenges.Biochemical genetics · 2022Review
- Role of Diet and Nutrients in SARS-CoV-2 Infection: Incidence on Oxidative Stress, Inflammatory Status and Viral Production.Nutrients · 2022Review
- Network meta-analysis of transcriptome expression changes in different manifestations of dengue virus infection.BMC genomics · 2022Article
- Monocytic-Myeloid Derived Suppressor Cells Suppress T-Cell Responses in Recovered SARS CoV2-Infected Individuals.Frontiers in immunology · 2022Article
- Drug delivery systems as immunomodulators for therapy of infectious disease: Relevance to COVID-19.Advanced drug delivery reviews · 2021Review
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
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Abstract
In coronavirus disease 2019 (COVID-19) patients, interleukin (IL)-6 is one of the leading factors causing death through cytokine release syndrome. Hence, identification of IL-6 downstream from clinical patients' transcriptome is very valid for analyses of its mechanism. However, clinical study is conditional and time consuming to collect optional size of samples, as patients have the clinical heterogeneity. A possible solution is to deeply mine the relative existing data. Several transcriptome-based studies on other diseases or treatments have revealed different genes to be regulated by IL-6. Through our meta-analysis of these transcriptome datasets, 352 genes were suggested to be regulated by IL-6 in different biological conditions, some of which were related to virus infection and cardiovascular disease. Among them, 232 genes were not identified by current transcriptome studies from clinical research.
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