ArticleFrontiers in genetics2021
Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Cell-free DNA fragmentomics for preeclampsia risk assessment.Nature communications · 2026Article
- Deep learning-based non-invasive profiling of tumor transcriptomes from cell-free DNA for precision oncology.bioRxiv : the preprint server for biology · 2026Article
- Promoter landscape of maternal plasma DNA reveals predictive signatures of fetal growth restriction.Human genomics · 2026Article
- CfDNA as a surrogate marker for COVID-19 severity in patients with influenza-like symptoms with and without SARS-CoV-2 infection in general practice: a prospective cohort study.Virology journal · 2025Article
- Tracing the tissue origin of cell-free DNA through open chromatin footprint.Communications biology · 2025Article
- Plasma Cell-Free DNA Concentration and Fragmentomes Predict Neoadjuvant Chemotherapy Response in Cervical Cancer Patients.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Fragmentomics of plasma mitochondrial and nuclear DNA inform prognosis in COVID-19 patients with critical symptoms.BMC medical genomics · 2024Article
- Longitudinal integrative cell-free DNA analysis in gestational diabetes mellitus.Cell reports. Medicine · 2024Article
- Plasma cell-free RNA characteristics in COVID-19 patients.Genome research · 2022Article
- Periodontitis-Derived Dark-NETs in Severe Covid-19.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
34 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Symptoms of coronavirus disease 2019 (COVID-19) range from asymptomatic to severe pneumonia and death. A deep understanding of the variation of biological characteristics in severe COVID-19 patients is crucial for the detection of individuals at high risk of critical condition for the clinical management of the disease. Herein, by profiling the gene expression spectrum deduced from DNA coverage in regions surrounding transcriptional start site in plasma cell-free DNA (cfDNA) of COVID-19 patients, we deciphered the altered biological processes in the severe cases and demonstrated the feasibility of cfDNA in measuring the COVID-19 progression. The up- and downregulated genes in the plasma of severe patient were found to be closely related to the biological processes and functions affected by COVID-19 progression. More importantly, with the analysis of transcriptome data of blood cells and lung cells from control group and cases with severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection, we revealed that the upregulated genes were predominantly involved in the viral and antiviral activity in blood cells, reflecting the intense viral replication and the active reaction of immune system in the severe patients. Pathway analysis of downregulated genes in plasma DNA and lung cells also demonstrated the diminished adenosine triphosphate synthesis function in lung cells, which was evidenced to correlate with the severe COVID-19 symptoms, such as a cytokine storm and acute respiratory distress. Overall, this study revealed tissue involvement, provided insights into the mechanism of COVID-19 progression, and highlighted the utility of cfDNA as a noninvasive biomarker for disease severity inspections.
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