Evidence map›Paper›PMID 37219969›Full record

ArticleThe CRISPR journal2023

Novel CRISPR-Associated Gene-Editing Systems Discovered in Metagenomic Samples Enable Efficient and Specific Genome Engineering.

Rebecca C Lamothe, Meghan D Storlie, Diego A Espinosa, Rachel Rudlaff, Patrick Browne, Jason Liu, Andres Rivas, Audra Devoto, Jennifer Oki, Ashcon Khoubyari and 6 more

Abstract read
In one paragraph

Article in The CRISPR journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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

16 authors.

Rebecca C LamotheMetagenomi, Inc., Emeryville, California, USA.ORCID 0000-0003-4942-5950
Meghan D StorlieMetagenomi, Inc., Emeryville, California, USA.
Diego A EspinosaMetagenomi, Inc., Emeryville, California, USA.ORCID 0000-0002-4364-5031
Rachel RudlaffMetagenomi, Inc., Emeryville, California, USA.
Patrick BrowneMetagenomi, Inc., Emeryville, California, USA.
Jason LiuMetagenomi, Inc., Emeryville, California, USA.
Andres RivasMetagenomi, Inc., Emeryville, California, USA.
Audra DevotoMetagenomi, Inc., Emeryville, California, USA.
Jennifer OkiMetagenomi, Inc., Emeryville, California, USA.
Ashcon KhoubyariMetagenomi, Inc., Emeryville, California, USA.
Daniela S Aliaga GoltsmanMetagenomi, Inc., Emeryville, California, USA.
Jyun-Liang LinMetagenomi, Inc., Emeryville, California, USA.
Cristina N ButterfieldMetagenomi, Inc., Emeryville, California, USA.
Christopher T BrownMetagenomi, Inc., Emeryville, California, USA.ORCID 0000-0002-7758-6447
Brian C ThomasMetagenomi, Inc., Emeryville, California, USA.
Gregory J CostMetagenomi, Inc., Emeryville, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of medicines using gene editing has been hampered by enzymological and immunological impediments. We described previously the discovery and characterization of improved, novel gene-editing systems from metagenomic data. In this study, we substantially advance this work with three such gene-editing systems, demonstrating their utility for cell therapy development. All three systems are capable of reproducible, high-frequency gene editing in primary immune cells. In human T cells, disruption of the T cell receptor (TCR) alpha-chain was induced in >95% of cells, both paralogs of the TCR beta-chain in >90% of cells, and >90% knockout of β2-microglobulin,

Indexed as

CRISPR-Cas SystemsGene EditingCell DifferentiationHumansReceptors, Antigen, T-CellT-LymphocytesReceptors, Antigen, T-Cell

Identifiers

PMID37219969
PMCPMC10277994

What OpenQuestion holds

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LicenceCC BY
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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.