ArticleScience advances2024
High-throughput tagging of endogenous loci for rapid characterization of protein function.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 5 citations in OpenAlex.
- HIT-MAP: A scalable approach to multimodal mapping of subcellular organization.Cell reports methods · 2026Article
- A custom two-in-one HIST and line-scanning confocal excitation module.bioRxiv : the preprint server for biology · 2026Article
- A systematic guide for identifying transcription factors that directly regulate the expression of a gene of interest.Genome research · 2026Review
- High throughput identification of genetic regulators of microglial inflammatory processes in Alzheimer's disease.Journal of neuroinflammation · 2025Article
- Pooled tagging and hydrophobic targeting of endogenous proteins for unbiased mapping of unfolded protein responses.Molecular cell · 2025Article
- Utilizing small molecules to probe and harness the proteome by pooled protein tagging with ligandable domains.Frontiers in pharmacology · 2025Review
- High-throughput optimized prime editing mediated endogenous protein tagging for pooled imaging of protein localization.bioRxiv : the preprint server for biology · 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
8 authors at 2 institutions in 2 countries.
Funding
Abstract
To facilitate the interrogation of protein function at scale, we have developed high-throughput insertion of tags across the genome (HITAG). HITAG enables users to rapidly produce libraries of cells, each with a different protein of interest C-terminally tagged. HITAG is based on a modified strategy for performing Cas9-based targeted insertions, coupled with an improved approach for selecting properly tagged lines. Analysis of the resulting clones generated by HITAG reveals high tagging specificity, with most successful tagging events being indel free. Using HITAG, we fuse mCherry to a set of 167 stress granule-associated proteins and elucidate the features that drive a subset of proteins to strongly accumulate within these transient RNA-protein granules.
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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.