Machine learning prediction of prime editing efficiency across diverse chromatin contexts-Reference-Cited by-同舟云学术

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Machine learning prediction of prime editing efficiency across diverse chromatin contexts

Published:2024-06-21 Issue: Volume: Page:
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Mathis Nicolas^ORCID,Allam Ahmed^ORCID,Tálas András^ORCID,Kissling Lucas^ORCID,Benvenuto Elena,Schmidheini Lukas^ORCID,Schep Ruben,Damodharan Tanav^ORCID,Balázs Zsolt,Janjuha Sharan,Ioannidi Eleonora I.^ORCID,Böck Desirée,van Steensel Bas^ORCID,Krauthammer Michael^ORCID,Schwank Gerald^ORCID

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Federal Department of Economic Affairs, Education and Research, Switzerland | Staatssekretariat für Bildung, Forschung und Innovation

University Research Priority Program - University of Zurich

Promedica Stiftung

Citrin Foundation

European Molecular Biology Organization

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41587-024-02268-2.pdf

Reference51 articles.

1. Mathis, N. et al. Predicting prime editing efficiency and product purity by deep learning. Nat. Biotechnol. 41, 1151–1159 (2023).

2. Kim, H. K. et al. Predicting the efficiency of prime editing guide RNAs in human cells. Nat. Biotechnol. 39, 198–206 (2021).

3. Koeppel, J. et al. Prediction of prime editing insertion efficiencies using sequence features and DNA repair determinants. Nat. Biotechnol. 41, 1446–1456 (2023).

4. Yu, G. et al. Prediction of efficiencies for diverse prime editing systems in multiple cell types. Cell 186, 2256–2272 (2023).

5. Chen, P. J. et al. Enhanced prime editing systems by manipulating cellular determinants of editing outcomes. Cell 184, 5635–5652 (2021).

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Ganoderma lucidum Polysaccharide: Preparations, Structures, Physicochemical Properties and Application;Foods;2024-08-24

2. Publisher Correction: Machine learning prediction of prime editing efficiency across diverse chromatin contexts;Nature Biotechnology;2024-08-12

3. Click editing enables programmable genome writing using DNA polymerases and HUH endonucleases;Nature Biotechnology;2024-07-22

4. Insights into Prime Editing Technology: A Deep Dive into Fundamentals, Potentials, and Challenges;Human Gene Therapy;2024-07-01

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