ArticleVirology journal2022
The challenges and opportunities of scRNA-seq in COVID-19 research and clinical translation.
Article in Virology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- VISDB 2.0: A manually curated resource of viral integration sites and their regulatory maps in human diseases.Scientific data · 2026Article
- Unlocking the Potential of RNA Sequencing in COVID-19: Toward Accurate Diagnosis and Personalized Medicine.Diagnostics (Basel, Switzerland) · 2025Review
- Novel Strategies to Profile SARS-CoV-2 and Human Lung Proteome: Inflammatory Pathways in the Spotlight.BioMed research international · 2025Review
- Single-cell transcriptome profile during the antibody decline phase following inactivated COVID-19 vaccination.Frontiers in cellular and infection microbiology · 2025Article
- Mining single-cell data for cell type-disease associations.NAR genomics and bioinformatics · 2024Article
- Identification and evaluation of candidate COVID-19 critical genes and medicinal drugs related to plasma cells.BMC infectious diseases · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The application of single-cell RNA sequencing in COVID-19 research has greatly improved our understanding of COVID-19 pathogenesis and immunological characteristics. In this commentary, we discuss the current challenges, limitations, and perspectives in harnessing the power of single-cell RNA sequencing to accelerate both basic research and therapeutic development for COVID-19 and other emerging infectious diseases.
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.