Machine learning-based approaches for identifying human blood cells harboring CRISPR-mediated fetal chromatin domain ablations

Machine learning-based approaches for identifying human blood cells harboring CRISPR-mediated fetal chromatin domain ablations

Abstract Two common hemoglobinopathies, sickle cell disease (SCD) and β-thalassemia, arise from genetic mutations within the β-globin gene. In this work, we identified a 500-bp motif (Fetal Chromatin Domain, FCD) upstream of human ϒ-globin locus and showed that the removal of this motif using CRISPR...

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Bibliographic Details
Main Authors: Yi Li, Shadi Zaheri, Khai Nguyen, Li Liu, Fatemeh Hassanipour, Betty S. Pace, Leonidas Bleris
Format: Article
Language:English
Published: Nature Portfolio 2022-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-05575-3

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https://doi.org/10.1038/s41598-022-05575-3

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