Evidence map›Paper›PMID 41852736›Full record

ArticleiScience2026

Single-cell characterization of bacterial optogenetic Cre recombinases.

Hellen Huang, Fereshteh Jafarbeglou, Mary J Dunlop

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Hellen HuangMolecular Biology, Cell Biology & Biochemistry Graduate Program, Boston University, Boston, MA, USA.
Fereshteh JafarbeglouBiomedical Engineering Department, Boston University, Boston, MA 02215, USA.
Mary J DunlopMolecular Biology, Cell Biology & Biochemistry Graduate Program, Boston University, Boston, MA, USA.

Funding

Feedback and Noise in a Multiple Antibiotic Resistance CircuitR01AI102922 · NIAID · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Mary J. Dunlop · 2014 to 2026
$4.7M
NIAID NIH HHS R01 AI102922
6 · The paper itself

Abstract

Microbial optogenetic tools can regulate gene expression with spatial and temporal precision, offering excellent potential for single-cell resolution studies. However, bacterial optogenetic systems have primarily been deployed for population-level experiments. It is not always clear how these tools perform in single cells, where stochastic effects can be substantial. In this study, we focus on optogenetic Cre recombinase and compare the performance of three variants (OptoCre-REDMAP, OptoCre-Vvd, and PA-Cre) for their population-level and single-cell activity. We quantify recombination efficiency, expression variability, and activation dynamics using reporters which produce changes in fluorescence or antibiotic resistance following light-induced Cre activity. We find that optogenetic recombinase performance can be reporter-dependent. Further, single-cell analysis reveals highly heterogeneous activity, with substantial variation in the efficiency and timing of recombinase activity from cell to cell. These findings suggest important criteria for selecting optogenetic recombinases and indicate areas for optimization to improve single-cell capabilities of bacterial optogenetic tools.

Indexed as

bioengineeringsynthetic biology

Identifiers

PMID41852736
PMCPMC12993203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.