Evidence map›Paper›PMID 41361167›Full record

ArticleNature communications2025

Search-and-remove genome editing allows selection of cells by DNA sequence.

Luise Fast, Madina Omar, Philipp Kanis, Theresa Schaffer, Deepika Chowdhury, Eva Rakava, Svante Pääbo, Stephan Riesenberg

Abstract read
In one paragraph

Article in Nature communications, 2025. 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.

No citing paper in PubMed yet.

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

8 authors.

Luise FastMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID http://orcid.org/0000-0001-5681-292X
Madina OmarMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID http://orcid.org/0009-0007-6763-1623
Philipp KanisMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID http://orcid.org/0000-0003-4705-4447
Theresa SchafferMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID http://orcid.org/0009-0009-1473-7496
Deepika ChowdhuryMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Eva RakavaMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Svante PääboMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID http://orcid.org/0000-0002-4670-6311
Stephan RiesenbergMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany. stephan_riesenberg@eva.mpg.de.ORCID http://orcid.org/0000-0001-8171-1717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The selection of cells that have acquired a desired gene edit is often done by the introduction of additional genes that confer drug resistance or encode fluorophores. However, such marker genes can have unintended physiological effects and are not compatible with editing of single nucleotides. Here, we present SNIPE, a method that allows the marker-free selection of edited cells based on single nucleotide differences to unedited cells. SNIPE drastically enriches for cells, which have been precisely edited (median 7-fold). We validate the approach for 42 different edits using Cas9 or Cas12a in different cell types and species. We use it to enrich for combinations of substitutions that change missense mutations carried by all people today back to the ancestral state seen in Neandertals and Denisovans. We also show that it can be used to kill cultured tumor cells with aberrant genotypes and to repair heterozygous tumorigenic mutations.

Indexed as

Gene EditingAnimalsBase SequenceCell Line, TumorCRISPR-Associated Protein 9CRISPR-Cas SystemsHumansMutation, MissenseNeanderthalsCRISPR-Associated Protein 9

Identifiers

PMID41361167
PMCPMC12689631

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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.