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资源简介：
These are the next-generation sequencing files associated with publication evaluating genetic correction.
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创建时间：
2021-04-28
相关数据集
De Novo Structural Mining and Engineering of New TadA Deaminases for Highly Efficient Adenine Base Editors
Protein function is primarily determined by tertiary structure, yet enzyme discovery has relied heavily on sequence homology. Here, we present a structure-guided mining framework integrating AlphaFold
NIAID Data Ecosystem320
Efficient generation of mouse models of human diseases via ABE- and BE-mediated base editing
Base editor (BE) systems convert C-to-T in vitro and in vivo1-4. However, forty eight percent of genetic diseases involve C-to-T substitution, and modeling or correcting such diseases requires the ade
NIAID Data Ecosystem150
The CRISPR-based C-to-T base editing system. Danio rerio
The codon-optimized zAncBE4max construct contains the Uracil glycosylase inhibitor(UGI) and Deaminase (rAPOBEC1)-coupled Cas9a D10A nicknase, and NLS to enabe C-to-T base editing in the whole genome o
NIAID Data Ecosystem60
Harnessing Self-Labeling Enzymes for Selective and Concurrent A-to-I and C-to-U RNA Base Editing
The SNAP-ADAR tool enables precise and efficient A-to-I RNA editing in a guideRNA-dependent manner by applying the self-labeling SNAP-tag enzyme to generate RNA-guided editases in cell culture. Here
NIAID Data Ecosystem150
Base editing in Danio rerio. Danio rerio
Disease modeling by efficient genome editing using a near PAM-less base editor in zebrafish
NIAID Data Ecosystem110
