introductory-analysis-and-validation-of-cutrun-sequencing-data

Introductory Analysis and Validation of CUT&#38;RUN Sequencing Data

The CUT&amp;RUN technique facilitates detection of protein-DNA interactions across the genome. Typical applications of CUT&amp;RUN include profiling ...

University of Texas MD Anderson Cancer Center

Transcription factors bind DNA in specific sequence contexts. In addition to distinguishing one nucleobase from another, some transcription factors can distinguish between unmodified and modified bases. Current models of transcription factor binding tend not to take DNA modifications into account, while the recent few that do often have limitations. This makes a comprehensive and accurate profiling of transcription factor affinities difficult.

Modeling methyl-sensitive transcription factor motifs with an expanded epigenetic alphabet.

Subsets of long interspersed nuclear element 1 (LINE-1) retrotransposons can 'retrotranspose' throughout the human genome at a cost to host cell fitness, as observed in some cancers. Pharmacological inhibition of LINE-1 retrotransposition requires a comprehensive understanding of the LINE-1 ORF2p reverse transcriptase. Two recent publications, by Thawani et al. and Baldwin et al., report structures of LINE-1 ORF2p and address long-standing mechanistic gaps regarding LINE-1 retrotransposition. Both studies will be critical to design new specific inhibitors of the LINE-1 ORF2p reverse transcriptase.

Charles A. Ishak

Department of Epigenetics and Molecular Carcinogenesis,
Department of Gynecologic Oncology and Reproductive Medicine

University of Texas MD Anderson Cancer Center

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Charles A. Ishak

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Epigenetics and Molecular Carcinogenesis,Department of Gynecologic Oncology and Reproductive Medicine

University of Texas MD Anderson Cancer Center

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Department of Epigenetics and Molecular Carcinogenesis,
Department of Gynecologic Oncology and Reproductive Medicine