Cargando…
Predicting the effect of CRISPR-Cas9-based epigenome editing
Epigenetic regulation orchestrates mammalian transcription, but functional links between them remain elusive. To tackle this problem, we here use epigenomic and transcriptomic data from 13 ENCODE cell types to train machine learning models to predict gene expression from histone post-translational m...
Autores principales: | Batra, Sanjit Singh, Cabrera, Alan, Spence, Jeffrey P., Hilton, Isaac B., Song, Yun S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592942/ https://www.ncbi.nlm.nih.gov/pubmed/37873127 http://dx.doi.org/10.1101/2023.10.03.560674 |
Ejemplares similares
-
Epigenome editing by a CRISPR/Cas9-based acetyltransferase activates genes from promoters and enhancers
por: Hilton, Isaac B., et al.
Publicado: (2015) -
CRISPR–Cas9 epigenome editing enables high-throughput screening for functional regulatory elements in the human genome
por: Klann, Tyler S., et al.
Publicado: (2017) -
Targeted genome and epigenome editing using engineered TALE and CRISPR/Cas9 technologies
por: Gersbach, Charles A
Publicado: (2014) -
CRISPR/Cas9 Epigenome Editing Potential for Rare Imprinting Diseases: A Review
por: Syding, Linn Amanda, et al.
Publicado: (2020) -
Highly Specific Epigenome Editing by CRISPR/Cas9 Repressors for Silencing of Distal Regulatory Elements
por: Thakore, Pratiksha I., et al.
Publicado: (2015)