Work

Predictable and precise template-free CRISPR editing of pathogenic variants

Year: 2018

Type: article

Source: Nature

DOI: 10.1038/s41586-018-0686-x

Authors: Max W. Shen, Mandana Arbab, Jonathan Y. Hsu, Daniel Worstell, Sannie J. Culbertson, Olga Krabbe, Christopher A. Cassa, David R. Liu, David K. Gifford, Richard I. Sherwood

Institutions: MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Broad Institute, Howard Hughes Medical Institute, Harvard University, Massachusetts General Hospital, Center for Cancer Research, Center for Computational and Integrative Biology, Massachusetts General Hospital, Brigham and Women's Hospital, Royal Netherlands Academy of Arts and Sciences, Hubrecht Institute for Developmental Biology and Stem Cell Research

Language: English

Topic: CRISPR and Genetic Engineering

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, Howard Hughes Medical Institute, Broad Institute, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, National Institutes of Health, Defense Advanced Research Projects Agency, Harvard Stem Cell Institute, Brigham Research Institute, National Human Genome Research Institute, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Biomedical Imaging and Bioengineering

Awards: G1356288539, Graduate Training in Computational and Systems Biology, G1909046444, G3324611759, G4387269645, G5052434461, G7486275663, Continuous Evolution of Proteins with Novel Therapeutic Potential, G7699325053, G9000065763

OpenAlex ID: W2899807648

FWCI: 19.38

Cites: 30

Cited by: 580

Related to: 10