Dr. Arbab’s focus is to study causes of neurodegeneration using genome editing tools in cell and animal models, and to develop new gene-based therapeutic strategies that may one day treat genetic neurological diseases in patients.
Research Background
Dr. Arbab is the Lodish Family Assistant Professor of Neurology at Harvard Medical School, and faculty member of the Rosamund Stone Zander Translational Neuroscience Center at Boston Children’s Hospital. She received her PhD in Regenerative Medicine at the Hubrecht Institute in The Netherlands and completed an NWO Rubicon postdoctoral fellowship at the Broad Institute with Prof. David Liu, where she developed high-throughput CRISPR assays to characterize genome-editing tools in mammalian cells and predict genome editing outcomes. She has applied these insights to treat genetic neurological disorders with genome editing therapeutics in cells and in mice. In 2021, Manda was awarded a Pathway to Independence Award from the NIH National Institute of Neurological Disorders and Stroke.
Publications
Author Correction: Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning. Nat Biotechnol. 2023 Nov; 41(11):1655. View Abstract
Base editing rescue of spinal muscular atrophy in cells and in mice. Science. 2023 04 21; 380(6642):eadg6518. View Abstract
Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity. Nat Biotechnol. 2023 05; 41(5):673-685. View Abstract
Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning. Nat Biotechnol. 2021 Nov; 39(11):1414-1425. View Abstract
Determinants of Base Editing Outcomes from Target Library Analysis and Machine Learning. Cell. 2020 07 23; 182(2):463-480.e30. View Abstract
Continuous evolution of SpCas9 variants compatible with non-G PAMs. Nat Biotechnol. 2020 04; 38(4):471-481. View Abstract
Author Correction: Predictable and precise template-free CRISPR editing of pathogenic variants. Nature. 2019 03; 567(7746):E1-E2. View Abstract
Predictable and precise template-free CRISPR editing of pathogenic variants. Nature. 2018 11; 563(7733):646-651. View Abstract