SynthesisScientific reports2021
Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses.
Synthesis in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Article
- Acute and long-term effects of COVID-19 on brain and mental health: A narrative review.Brain, behavior, and immunity · 2025Review
- Comprehensive single-cell atlas of the mouse retina.iScience · 2024Article
- Bulk and Single-Cell RNA Sequencing Elucidate the Etiology of Severe COVID-19.International journal of molecular sciences · 2024Review
- Comprehensive single-cell atlas of the mouse retina.bioRxiv : the preprint server for biology · 2024Article
- Utility of bronchoalveolar lavage for COVID-19: a perspective from the Dragon consortium.Frontiers in medicine · 2024Review
- Using the power of innate immunoprofiling to understand vaccine design, infection, and immunity.Human vaccines & immunotherapeutics · 2023Review
- Avoiding false discoveries in single-cell RNA-seq by revisiting the first Alzheimer's disease dataset.eLife · 2023Article
- SuSiE PCA: A scalable Bayesian variable selection technique for principal component analysis.iScience · 2023Article
- Machine Learning and COVID-19: Lessons from SARS-CoV-2.Advances in experimental medicine and biology · 2023Article
- RNA-Seq of Single Fish Cells - Seeking Out the Leukocytes Mediating Immunity in Teleost Fishes.Frontiers in immunology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Several single-cell RNA sequencing (scRNA-seq) studies analyzing immune response to COVID-19 infection have been recently published. Most of these studies have small sample sizes, which limits the conclusions that can be made with high confidence. By re-analyzing these data in a standardized manner, we validated 8 of the 20 published results across multiple datasets. In particular, we found a consistent decrease in T-cells with increasing COVID-19 infection severity, upregulation of type I Interferon signal pathways, presence of expanded B-cell clones in COVID-19 patients but no consistent trend in T-cell clonal expansion. Overall, our results show that the conclusions drawn from scRNA-seq data analysis of small cohorts of COVID-19 patients need to be treated with some caution.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.