SynthesisComputers in biology and medicine2021
Meta-analysis of single-cell RNA-seq data reveals phenotypic switching of immune cells in severe COVID-19 patients.
Synthesis in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 29 citations in OpenAlex.
- Metabolic control of macrophages in coronavirus disease 2019.Virulence · 2026Review
- Potential therapeutic targets for COVID-19 complicated with pulmonary hypertension: a bioinformatics and early validation study.Scientific reports · 2024Article
- A mid‑pandemic night's dream: Melatonin, from harbinger of anti‑inflammation to mitochondrial savior in acute and long COVID‑19 (Review).International journal of molecular medicine · 2024Review
- Immunometabolic features of natural killer cells are associated with infection outcomes in critical illness.Frontiers in immunology · 2024Article
- Article
- Neuroimmune Mechanisms Underlying Post-acute Sequelae of SARS-CoV-2 (PASC) Pain, Predictions from a Ligand-Receptor Interactome.Current rheumatology reports · 2023Review
- Evidence of SARS-CoV-2 infection in postmortem lung, kidney, and liver samples, revealing cellular targets involved in COVID-19 pathogenesis.Archives of virology · 2023Article
- Increase of mast cells in COVID-19 pneumonia may contribute to pulmonary fibrosis and thrombosis.Histopathology · 2023Article
- From Immunogen to COVID-19 vaccines: Prospects for the post-pandemic era.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2023Review
- Genetic and immunological insights into COVID-19 with acute myocardial infarction: integrated analysis of mendelian randomization, transcriptomics, and clinical samples.Frontiers in immunology · 2023Article
- A systematic pan-cancer analysis reveals the clinical prognosis and immunotherapy value of C-X3-C motif ligand 1 (CX3CL1).Frontiers in genetics · 2023Article
- Documenting the immune response in patients with COVID-19-induced acute respiratory distress syndrome.Frontiers in cell and developmental biology · 2023Article
- Delineating COVID-19 immunological features using single-cell RNA sequencing.Innovation (Cambridge (Mass.)) · 2022Review
- From COVID to fibrosis: lessons from single-cell analyses of the human lung.Human genomics · 2022Review
- Mechanisms and clinical evidence to support melatonin's use in severe COVID-19 patients to lower mortality.Life sciences · 2022Review
- Dissecting CD8+ T cell pathology of severe SARS-CoV-2 infection by single-cell immunoprofiling.Frontiers in immunology · 2022Article
- A contemporary review on the important role ofInformatics in medicine unlocked · 2022Review
- CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has resulted in the global coronavirus disease 2019 (COVID-19) pandemic. Despite several single-cell RNA sequencing (RNA-seq) studies, conclusions cannot be reached owing to the small number of available samples and the differences in technology and tissue types used in the studies. To better understand the cellular landscape and disease severity in COVID-19, we performed a meta-analysis of publicly available single-cell RNA-seq data from peripheral blood and lung samples of COVID-19 patients with varying degrees of severity. Patients with severe disease showed increased numbers of M1 macrophages in lung tissue, while the number of M2 macrophages was depleted. Cellular profiling of the peripheral blood showed a marked increase of CD14
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.