ArticleSTAR protocols2026
Protocol for generating endogenous degron tags in essential transcription factors in human iPSCs via CRISPR-Cas9.
Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- CRISPR Gene Tagging for Illuminating Endogenous Protein Dynamics.International journal of molecular sciences · 2026Review
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precise genome engineering in human pluripotent stem cells remains inefficient, limiting endogenous fluorescent tagging needed to study phase-separated membraneless nuclear compartments. Here, we present a protocol for generating precise knockin alleles of essential genes in human induced pluripotent stem cells (iPSCs) via CRISPR-Cas9 editing. We describe steps for combining transient p53 inhibition, optimized transfection conditions, and fluorescence-activated cell sorting. This protocol enables recovery of viable edited clones that would otherwise be lost due to editing-induced stress or essential gene perturbation. For complete details on the use and execution of this protocol, please refer to Li et al.
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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.