Evidence map›Paper›PMID 29867139›Full record

ArticleNature communications2018

Targeting repair pathways with small molecules increases precise genome editing in pluripotent stem cells.

Stephan Riesenberg, Tomislav Maricic

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% of its field
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

114 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.

  1. Pooled it
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  7. CRISPR Gene Tagging for Illuminating Endogenous Protein Dynamics.International journal of molecular sciences · 2026
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54 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Stephan RiesenbergDepartment of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Deutscher Pl. 6, 04103, Leipzig, Germany. stephan.riesenberg@eva.mpg.de.
Tomislav MaricicDepartment of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Deutscher Pl. 6, 04103, Leipzig, Germany.
Max Planck Institute for Evolutionary Anthropology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A now frequently used method to edit mammalian genomes uses the nucleases CRISPR/Cas9 and CRISPR/Cpf1 or the nickase CRISPR/Cas9n to introduce double-strand breaks which are then repaired by homology-directed repair using DNA donor molecules carrying desired mutations. Using a mixture of small molecules, the "CRISPY" mix, we achieve a 2.8- to 7.2-fold increase in precise genome editing with Cas9n, resulting in the introduction of the intended nucleotide substitutions in almost 50% of chromosomes or of gene encoding a blue fluorescent protein in 27% of cells, to our knowledge the highest editing efficiency in human induced pluripotent stem cells described to date. Furthermore, the CRISPY mix improves precise genome editing with Cpf1 2.3- to 4.0-fold, allowing almost 20% of chromosomes to be edited. The components of the CRISPY mix do not always increase the editing efficiency in the immortalized or primary cell lines tested, suggesting that employed repair pathways are cell-type specific.

Indexed as

Gene EditingAnimalsCell LineCRISPR-Cas SystemsDNA Breaks, Double-StrandedDNA RepairHEK293 CellsHumansInduced Pluripotent Stem CellsK562 CellsModels, GeneticMutationPluripotent Stem CellsSmall Molecule LibrariesSmall Molecule Libraries

Identifiers

PMID29867139
PMCPMC5986859
OpenAlexW2950124537

What OpenQuestion holds

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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.