Evidence map›Paper›PMID 40506744›Full record

ArticleGenome biology2025

Engineering novel CRISPRi repressors for highly efficient mammalian gene regulation.

Andrew Kristof, Krithika Karunakaran, Christopher Allen, Paula Mizote, Sophie Briggs, Zixin Jian, Patrick Nash, John Blazeck

Erratum issuedAbstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Clinical translation of epigenome editing technologies.Current opinion in biomedical engineering · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Andrew KristofSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Krithika KarunakaranSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Christopher AllenSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Paula MizoteSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Sophie BriggsSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Zixin JianSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Patrick NashSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
John BlazeckSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA. john.blazeck@chbe.gatech.edu.ORCID http://orcid.org/0000-0002-6110-2938

Funding

Synthetic metabolism to armor and enhance a new class of cell therapiesDP2CA280622 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI BLAZECK, JOHN JAMES · 2022 to 2025
$2.3M
National Science Foundation NSF GRFPNCI NIH HHS DP2 CA280622NIH Office of the Director 1DP2CA280622-01
6 · The paper itself

Abstract

backgroundCRISPR interference (CRISPRi), the repurposing of the RNA-guided endonuclease dCas9 as a programmable transcriptional repressor, allows highly specific repression (knockdown) of gene expression. CRISPRi platforms can often have incomplete knockdown, performance variability across cell lines and gene targets, and inconsistencies dependent on the guide RNA sequence employed.

resultsHere, we explore the combination of novel repressor domains with strong Krüppel-associated box (KRAB) repressors, screening > 100 bipartite and tripartite fusion proteins for their ability to reduce gene expression as CRISPRi effectors. We show that these novel repressor fusions have reduced dependence on guide RNA sequences, better slow cell growth when used to knock down expression of essential genes, and function in either fusion or scaffold modalities. Furthermore, we isolate and characterize a particularly effective CRISPRi platform, dCas9-ZIM3(KRAB)-MeCP2(t), which shows improved gene repression of endogenous targets both at the transcript and protein level across several cell lines and when deployed in genome-wide screens.

conclusionsWe posit that these novel repressor fusions can enhance the reproducibility and utility of CRISPRi in mammalian cells.

Indexed as

CRISPR-Cas SystemsGene Expression RegulationRepressor ProteinsAnimalsCell LineClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Associated Protein 9Gene Knockdown TechniquesHEK293 CellsHumansRNA, Guide, CRISPR-Cas SystemsCRISPR-Associated Protein 9Repressor ProteinsRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID40506744
PMCPMC12164210

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.