Evidence map›Paper›PMID 41549960›Full record

ArticleJournal of cell science2026

OptoLoop - an optogenetic tool to probe the functional role of genome organization.

Martin Stortz, Adib Keikhosravi, Gianluca Pegoraro, Tom Misteli

Abstract read
In one paragraph

Article in Journal of cell science, 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

5 · Who and what money

Authors and funding

4 authors.

Martin StortzCell Biology of Genomes, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Adib KeikhosraviHigh-Throughput Imaging Facility, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Gianluca PegoraroHigh-Throughput Imaging Facility, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Tom MisteliCell Biology of Genomes, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0003-3530-3020

Funding

NCI NIH HHS 1-ZIA-BC010309NCI NIH HHS 1-ZIC-BC-011567
6 · The paper itself

Abstract

The genome folds inside the cell nucleus into hierarchical architectural features, such as chromatin loops and domains. If and how this genome organization influences the regulation of gene expression remains only partially understood. The structure-function relationship of genomes has traditionally been probed by population-wide measurements after mutation of crucial DNA elements or by perturbation of chromatin-associated proteins. To circumvent possible pleiotropic effects of such approaches, we have developed OptoLoop, an optogenetic system that allows direct manipulation of chromatin contacts by light in a controlled fashion. OptoLoop is based on the fusion between a nuclease-dead SpCas9 protein and the light-inducible oligomerizing protein CRY2. We demonstrate that OptoLoop can bring together genomically distant, repetitive DNA loci. As a proof-of-principle application of OptoLoop, we probed the functional role of DNA looping in the regulation of the human telomerase gene TERT. By analyzing the extent of chromatin looping and nascent RNA production at individual alleles, we find evidence for looping-mediated repression of TERT. In sum, OptoLoop represents a novel means for the interrogation of structure-function relationships in the genome.

Indexed as

OptogeneticsChromatinCRISPR-Associated Protein 9CryptochromesDNAHumansTelomeraseChromatinCRISPR-Associated Protein 9CRY2 protein, humanCryptochromesDNATelomeraseChromatin loopsCRISPRCRY2dCas9Genome organizationOptogeneticsSynthetic biology

Identifiers

PMID41549960
PMCPMC12952762

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.