Evidence map›Paper›PMID 37503029›Full record

ArticlebioRxiv : the preprint server for biology2023

Simultaneous multi-site editing of individual genomes using retron arrays.

Alejandro González-Delgado, Santiago C Lopez, Matías Rojas-Montero, Chloe B Fishman, Seth L Shipman

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Alejandro González-DelgadoGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Santiago C LopezGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Matías Rojas-MonteroGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Chloe B FishmanGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Seth L ShipmanGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Gladstone Institutes · US

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
NIBIB NIH HHS R21 EB031393NIGMS NIH HHS DP2 GM140917
6 · The paper itself

Abstract

Our understanding of genomics is limited by the scale of our genomic technologies. While libraries of genomic manipulations scaffolded on CRISPR gRNAs have been transformative, these existing approaches are typically multiplexed across genomes. Yet much of the complexity of real genomes is encoded within a genome across sites. Unfortunately, building cells with multiple, non-adjacent precise mutations remains a laborious cycle of editing, isolating an edited cell, and editing again. Here, we describe a technology for precisely modifying multiple sites on a single genome simultaneously. This technology - termed a multitron - is built from a heavily modified retron, in which multiple donor-encoding msds are produced from a single transcript. The multitron architecture is compatible with both recombineering in prokaryotic cells and CRISPR editing in eukaryotic cells. We demonstrate applications for this approach in molecular recording, genetic element minimization, and metabolic engineering.

Identifiers

PMID37503029
PMCPMC10370050
OpenAlexW4384665766

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.