Evidence map›Paper›PMID 37745481›Full record

ArticlebioRxiv : the preprint server for biology2023

Click editing enables programmable genome writing using DNA polymerases and HUH endonucleases.

Joana Ferreira da Silva, Connor J Tou, Emily M King, Madeline L Eller, Linyuan Ma, David Rufino-Ramos, Benjamin P Kleinstiver

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, 28 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Joana Ferreira da SilvaCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
Connor J TouCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
Emily M KingCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
Madeline L EllerCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
Linyuan MaCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
David Rufino-RamosCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
Benjamin P KleinstiverCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
Harvard University · USMassachusetts General Hospital · US

Funding

Scalable Development of Custom Genome Editing TechnologiesDP2CA281401 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KLEINSTIVER, BENJAMIN PETER · 2022 to 2025
$2.5M
NCI NIH HHS DP2 CA281401
6 · The paper itself

Abstract

Genome editing technologies that install diverse edits can widely enable genetic studies and new therapeutics. Here we develop click editing, a genome writing platform that couples the advantageous properties of DNA-dependent DNA polymerases with RNA-programmable nickases (e.g. CRISPR-Cas) to permit the installation of a range of edits including substitutions, insertions, and deletions. Click editors (CEs) leverage the "click"-like bioconjugation ability of HUH endonucleases (HUHes) with single stranded DNA substrates to covalently tether "click DNA" (clkDNA) templates encoding user-specifiable edits at targeted genomic loci. Through iterative optimization of the modular components of CEs (DNA polymerase and HUHe orthologs, architectural modifications, etc.) and their clkDNAs (template configurations, repair evading substitutions, etc.), we demonstrate the ability to install precise genome edits with minimal indels and no unwanted byproduct insertions. Since clkDNAs can be ordered as simple DNA oligonucleotides for cents per base, it is possible to screen many different clkDNA parameters rapidly and inexpensively to maximize edit efficiency. Together, click editing is a precise and highly versatile platform for modifying genomes with a simple workflow and broad utility across diverse biological applications.

Identifiers

PMID37745481
PMCPMC10515857
OpenAlexW4386744995

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.