Evidence map›Paper›PMID 39289529›Full record

ArticleNature biotechnology2025

An experimental census of retrons for DNA production and genome editing.

Asim G Khan, Matías Rojas-Montero, Alejandro González-Delgado, Santiago C Lopez, Rebecca F Fang, Kate D Crawford, Seth L Shipman

Abstract read
In one paragraph

Article in Nature biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Characterization of defensome genes and mobile genetic Elements in different types of pasture soil agroecosystems from the Brazilian Amazon.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Structure and mechanism of antiphage retron Eco2.Nature structural & molecular biology · 2026
    Article
  7. Article
  8. Article
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  13. Article
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  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Asim G Khan *Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-6043-4025
Matías Rojas-Montero *Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.ORCID http://orcid.org/0009-0008-8257-4708
Alejandro González-Delgado *Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-8357-3204
Santiago C LopezGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Rebecca F FangGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-7920-2796
Kate D CrawfordGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Seth L ShipmanGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA. seth.shipman@gladstone.ucsf.edu.ORCID http://orcid.org/0000-0003-3130-8043

Funding

Engineered Mitochondria for Therapeutic Donation and Mitochondrial Genome EditingDP2GM140917 · NIGMS · J. DAVID GLADSTONE INSTITUTES · PI SHIPMAN, SETH LAWLER · 2020 to 2020
$2.8M
RetroDecoys: Temporally-regulated and cell type selective technology for transcriptional controlR21EB031393 · NIBIB · J. DAVID GLADSTONE INSTITUTES · PI SHIPMAN, SETH LAWLER · 2022 to 2023
$520k
National Science Foundation (NSF) MCB 2137692NIBIB NIH HHS R21 EB031393NIGMS NIH HHS DP2 GM140917U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) 1DP2GM140917U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R21EB031393
6 · The paper itself

Abstract

Retrons are bacterial immune systems that use reverse-transcribed DNA (RT-DNA) to detect phage infection. They are also deployed for genome editing, where they are modified so that the RT-DNA encodes an editing donor. Retrons are common in bacterial genomes, and thousands of unique retrons have been predicted bioinformatically. However, few have been characterized experimentally. We add to the corpus of experimentally studied retrons, finding 62 empirically determined, natural RT-DNAs that are not predictable from the retron sequence alone. We synthesize >100 previously untested retrons to identify the natural sequence of RT-DNA they produce, quantify their RT-DNA production and test the relative efficacy of editing using retron-derived donors to edit bacterial, phage and human genomes. We observe large diversity in RT-DNA production and editing rates across retrons, finding that top-performing editors are drawn from a subset of the retron phylogeny and outperform those used in previous studies, reaching precise editing rates of up to 40% in human cells.

Indexed as

Gene EditingGenome, BacterialCRISPR-Cas SystemsGenome, HumanHumans

Identifiers

PMID39289529
PMCPMC11911249

What OpenQuestion holds

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Registered trials

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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.