Evidence map›Paper›PMID 41676564›Full record

ArticlebioRxiv : the preprint server for biology2026

Mismatch tolerance of a gRNA for CRISPR-based gene activation confers broad activity critical for cell reprogramming.

Samuel J Reisman, Wei Zhu, Samantha E Miller, Dahlia Halabi, Nicholas Sangvai, Gregory E Crawford, Raluca Gordân, Charles A Gersbach

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Samuel J ReismanDepartment of Cell Biology, Duke University, Durham, NC, USA.
Wei ZhuCenter for Advanced Genomic Technologies, Duke University, Durham, NC, USA.
Samantha E MillerDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Dahlia HalabiDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Nicholas SangvaiDepartment of Biology, Duke University, Durham, NC, USA.
Gregory E CrawfordCenter for Advanced Genomic Technologies, Duke University, Durham, NC, USA.
Raluca GordânCenter for Advanced Genomic Technologies, Duke University, Durham, NC, USA.
Charles A GersbachDepartment of Cell Biology, Duke University, Durham, NC, USA.ORCID 0000-0003-1478-4013

Funding

The Duke FUNCTION Center: Pioneering the comprehensive identification of combinatorial noncoding causes of diseaseRM1HG011123 · NHGRI · DUKE UNIVERSITY · PI GREGORY E CRAWFORD, Raluca Gordan · 2020 to 2026
$21.9M
High-Throughput Functional Annotation of Gene Regulatory Elements and Variants Critical to Complex Cellular PhenotypesUM1HG012053 · NHGRI · DUKE UNIVERSITY · PI GREGORY E CRAWFORD, Charles A. Gersbach · 2021 to 2026
$10.7M
University Training Program in Biomolecular & Tissue EngineeringT32GM008555 · NIGMS · DUKE UNIVERSITY · PI GERSBACH, CHARLES A. · 1994 to 2021
$8.1M
Beyond GWAS: High Throughput Functional Genomics & Epigenome Editing to Elucidate the Effects of Genetic Associations for SchizophreniaR01MH125236 · NIMH · DUKE UNIVERSITY · PI CRAWFORD, GREGORY E, GERSBACH, CHARLES A. · 2021 to 2025
$8.1M
NHGRI NIH HHS RM1 HG011123NHGRI NIH HHS UM1 HG012053NIGMS NIH HHS T32 GM008555NIMH NIH HHS R01 MH125236
6 · The paper itself

Abstract

CRISPR activation and interference systems (CRISPRa/i) are widely used for programmable transcriptional control. Although these technologies are capable of highly specific single-gene activity, some applications of transcriptional network reprogramming require broad, genome-wide effects. Here, we identify a CRISPRa gRNA that robustly reprograms astrocyte transcriptional state. Unexpectedly, this activity arises from extensive off-target binding that induces expression changes in thousands of genes, unlike neighboring gRNAs targeting the same intended on-target site. We leverage this promiscuous gRNA to dissect determinants of gRNA-driven off-target dCas9 binding in the context of transcriptional reprogramming. Using ChIP-seq, high-throughput protein-binding microarrays, and gRNA-variant library screening in cells, we demonstrate that PAM-proximal bases are primary determinants of genomic binding, mismatch tolerance is both gRNA- and base-specific, and targeted mutations within the PAM-proximal region can tune gRNA specificity. We further demonstrate that CRISPRa-driven phenotypes can reflect combined contributions from widespread off-target activity and dose-dependent on-target effects. These findings highlight the potentially widespread impacts of CRISPRa off-target activity, underscore the need to account for cryptic effects when selecting and evaluating gRNAs for programming cell phenotypes, and demonstrate that multi-site binding by CRISPRa systems can be exploited as a feature for network-level perturbations in cell reprogramming.

Identifiers

PMID41676564
PMCPMC12889551

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.