ReviewNature methods2021
Imaging-based screens of pool-synthesized cell libraries.
Review in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Optimizing photoactivation of PA-mCherry for optical pooled CRISPR screens.FEBS open bio · 2026Article
- Pooled optical screening in bacteria using chromosomally expressed barcodes.Communications biology · 2025Article
- How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.ArXiv · 2024Article
- Vibrational imaging of metabolites for improved microbial cell strains.Journal of biomedical optics · 2024Review
- Functional imaging-guided cell selection for evolving genetically encoded fluorescent indicators.Cell reports methods · 2023Article
- Video-based pooled screening yields improved far-red genetically encoded voltage indicators.Nature methods · 2023Article
- Facilitating Machine Learning-Guided Protein Engineering with Smart Library Design and Massively Parallel Assays.Advanced genetics (Hoboken, N.J.) · 2021Article
- Tools for Decoding Ubiquitin Signaling in DNA Repair.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mapping a genetic perturbation to a change in phenotype is at the core of biological research. Advances in microscopy have transformed these studies, but they have largely been confined to examining a few strains or cell lines at a time. In parallel, there has been a revolution in creating synthetic libraries of genetically altered cells with relative ease. Here we describe methods that combine these powerful tools to perform live-cell imaging of pool-generated strain libraries for improved biological discovery.
Indexed as
Identifiers
33589838What 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.