High-throughput screening of human genetic variants by pooled prime editing DOI Creative Commons
Michael Herger, Christina M. Kajba, Megan Buckley

et al.

Cell Genomics, Journal Year: 2025, Volume and Issue: unknown, P. 100814 - 100814

Published: March 1, 2025

Language: Английский

Accurate proteome-wide missense variant effect prediction with AlphaMissense DOI Open Access
Jun Cheng, Guido Novati,

Joshua Pan

et al.

Science, Journal Year: 2023, Volume and Issue: 381(6664)

Published: Sept. 19, 2023

The vast majority of missense variants observed in the human genome are unknown clinical significance. We present AlphaMissense, an adaptation AlphaFold fine-tuned on and primate variant population frequency databases to predict pathogenicity. By combining structural context evolutionary conservation, our model achieves state-of-the-art results across a wide range genetic experimental benchmarks, all without explicitly training such data. average pathogenicity score genes is also predictive for their cell essentiality, capable identifying short essential that existing statistical approaches underpowered detect. As resource community, we provide database predictions possible single amino acid substitutions classify 89% as either likely benign or pathogenic.

Language: Английский

Citations

882

CRISPR technology: A decade of genome editing is only the beginning DOI
Joy Y. Wang, Jennifer A. Doudna

Science, Journal Year: 2023, Volume and Issue: 379(6629)

Published: Jan. 19, 2023

The advent of clustered regularly interspaced short palindromic repeat (CRISPR) genome editing, coupled with advances in computing and imaging capabilities, has initiated a new era which genetic diseases individual disease susceptibilities are both predictable actionable. Likewise, genes responsible for plant traits can be identified altered quickly, transforming the pace agricultural research breeding. In this Review, we discuss current state CRISPR-mediated manipulation human cells, animals, plants along relevant successes challenges present roadmap future technology.

Language: Английский

Citations

617

Prime editing for precise and highly versatile genome manipulation DOI
Peter J. Chen, David R. Liu

Nature Reviews Genetics, Journal Year: 2022, Volume and Issue: 24(3), P. 161 - 177

Published: Nov. 7, 2022

Language: Английский

Citations

324

CRISPR in cancer biology and therapy DOI Open Access
Alyna Katti, Bianca J. Diaz, Christina M. Caragine

et al.

Nature reviews. Cancer, Journal Year: 2022, Volume and Issue: 22(5), P. 259 - 279

Published: Feb. 22, 2022

Language: Английский

Citations

296

High-content CRISPR screening DOI
Christoph Bock, Paul Datlinger, Florence M. Chardon

et al.

Nature Reviews Methods Primers, Journal Year: 2022, Volume and Issue: 2(1)

Published: Feb. 10, 2022

Language: Английский

Citations

207

CRISPR-based genome editing through the lens of DNA repair DOI Creative Commons

Tarun S. Nambiar,

Lou Baudrier,

Pierre Billon

et al.

Molecular Cell, Journal Year: 2022, Volume and Issue: 82(2), P. 348 - 388

Published: Jan. 1, 2022

Language: Английский

Citations

156

ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction DOI Creative Commons
Pascal Notin, Aaron W. Kollasch, Daniel P. Ritter

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 8, 2023

Predicting the effects of mutations in proteins is critical to many applications, from understanding genetic disease designing novel that can address our most pressing challenges climate, agriculture and healthcare. Despite a surge machine learning-based protein models tackle these questions, an assessment their respective benefits challenging due use distinct, often contrived, experimental datasets, variable performance across different families. Addressing requires scale. To end we introduce ProteinGym, large-scale holistic set benchmarks specifically designed for fitness prediction design. It encompasses both broad collection over 250 standardized deep mutational scanning assays, spanning millions mutated sequences, as well curated clinical datasets providing high-quality expert annotations about mutation effects. We devise robust evaluation framework combines metrics design, factors known limitations underlying methods, covers zero-shot supervised settings. report diverse 70 high-performing various subfields (eg., alignment-based, inverse folding) into unified benchmark suite. open source corresponding codebase, MSAs, structures, model predictions develop user-friendly website facilitates data access analysis.

Language: Английский

Citations

96

Designing and executing prime editing experiments in mammalian cells DOI
Jordan L. Doman,

Alexander A. Sousa,

Peyton B. Randolph

et al.

Nature Protocols, Journal Year: 2022, Volume and Issue: 17(11), P. 2431 - 2468

Published: Aug. 8, 2022

Language: Английский

Citations

81

Prediction of efficiencies for diverse prime editing systems in multiple cell types DOI Creative Commons
Goosang Yu, Hui Kwon Kim, Jinman Park

et al.

Cell, Journal Year: 2023, Volume and Issue: 186(10), P. 2256 - 2272.e23

Published: April 28, 2023

Language: Английский

Citations

57

Prediction of prime editing insertion efficiencies using sequence features and DNA repair determinants DOI Creative Commons
Jonas Koeppel, Juliane Weller, Elin Madli Peets

et al.

Nature Biotechnology, Journal Year: 2023, Volume and Issue: 41(10), P. 1446 - 1456

Published: Feb. 16, 2023

Most short sequences can be precisely written into a selected genomic target using prime editing; however, it remains unclear what factors govern insertion. We design library of 3,604 various lengths and measure the frequency their insertion four sites in three human cell lines, different editor systems varying DNA repair contexts. find that length, nucleotide composition secondary structure sequence all affect rates. also discover 3' flap nucleases TREX1 TREX2 suppress longer sequences. Combining features machine learning model, we predict relative insertions site with R = 0.70. Finally, demonstrate how our accurate prediction user-friendly software help choose codon variants common fusion tags insert at high efficiency, provide catalog empirically determined rates for over hundred useful

Language: Английский

Citations

50