ArticleNature communications2023
Systematic functional interrogation of SARS-CoV-2 host factors using Perturb-seq.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 32 citations in OpenAlex.
- A systematic comparison of single-cell perturbation response prediction models.Science advances · 2026Article
- High-Content CRISPR Screening: Methods and Applications.MedComm · 2026Review
- Dissecting the host determinants of orthoflavivirus infection using QIC-seq.PLoS pathogens · 2026Article
- From CRISPR functional genomics to synthetic interventions: engineering antiviral strategies.Journal of virology · 2026Review
- Multidimensional analysis of host-virus interactions using the virus-encoded CRISPR-based direct readout system (VECOS).Nature protocols · 2026Review
- MIC-Drop-seq: scalable single-cell phenotyping of mutant vertebrate embryos.Nature communications · 2026Article
- Four game-changing immunology tools to watch.Nature · 2025Article
- Article
- CRISPR-based genetic tools for the study of host-microbe interactions.Infection and immunity · 2025Review
- GraphVelo allows for accurate inference of multimodal velocities and molecular mechanisms for single cells.Nature communications · 2025Article
- Defining the host dependencies and the transcriptional landscape of RSV infection and bystander activation.bioRxiv : the preprint server for biology · 2025Article
- SARS-CoV-2 Nsp2 recruits GIGYF2 near viral replication sites and supports viral protein production.Nucleic acids research · 2025Article
- A data-mining analysis of host solute carrier family proteins in SARS-CoV-2 infection with reference to brain endothelial cells and the blood-brain barrier in COVID-19.Frontiers in neurology · 2025Article
- A mini-review on perturbation modelling across single-cell omic modalities.Computational and structural biotechnology journal · 2024Review
- Review
- Interactions of SARS-CoV-2 with Human Target Cells-A Metabolic View.International journal of molecular sciences · 2024Review
- GeneSPIDER2: large scale GRN simulation and benchmarking with perturbed single-cell data.NAR genomics and bioinformatics · 2024Article
- Comprehensive proteomic analysis of HCoV-OC43 virions and virus-modulated extracellular vesicles.Journal of virology · 2024Article
- NF-κB inhibitor alpha controls SARS-CoV-2 infection in ACE2-overexpressing human airway organoids.Scientific reports · 2024Article
- Single-cell image-based genetic screens systematically identify regulators of Ebola virus subcellular infection dynamics.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 2 countries.
Funding
Abstract
Genomic and proteomic screens have identified numerous host factors of SARS-CoV-2, but efficient delineation of their molecular roles during infection remains a challenge. Here we use Perturb-seq, combining genetic perturbations with a single-cell readout, to investigate how inactivation of host factors changes the course of SARS-CoV-2 infection and the host response in human lung epithelial cells. Our high-dimensional data resolve complex phenotypes such as shifts in the stages of infection and modulations of the interferon response. However, only a small percentage of host factors showed such phenotypes upon perturbation. We further identified the NF-κB inhibitor IκBα (NFKBIA), as well as the translation factors EIF4E2 and EIF4H as strong host dependency factors acting early in infection. Overall, our study provides massively parallel functional characterization of host factors of SARS-CoV-2 and quantitatively defines their roles both in virus-infected and bystander cells.
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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 OpenQuestion graph.