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Activity Number: 28 - SPEED: Statistical Computing and Statistics in Genomics Part 1
Type: Contributed
Date/Time: Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #323094
Title: Bioinformatic Investigation of Zic Family of Transcription Factors in the Mature Cerebellum
Author(s): Melyssa S Minto*
Companies: Duke University
Keywords: Transcription Factor; Regulation; Motif Enrichment; Zic; Development; Maturation

Though the expression of the Zics is constitutive, Zic1/2 ChIP-seq data reveal that the Zics change their binding profile over developmental time. These changes in binding are associated with transcriptional activation and repression. We hypothesize that other TFs collaborate with the Zic TFs to change their targets and affect their regulatory activity. We used an integrative approach to map enhancers to genes using H3K4me3 PLAC-seq data from the adult mouse cerebellum and map Zic peaks within those enhancers. Mapped gene expression to Zic peaks was used to classify instances of Zic binding as activating or repressing. A multi-tiered approach was used to predict TF binding at those sites. We assessed PWM enrichment (HOMER) then compared these predictions against in-vivo TF binding profiles (BART) to determine putative TFs collaborating with Zic to drive regulation. The presence of the predicted TFs in granule neurons were validated with gene expression of the corresponding TF. The output of this analysis provides information that will enhance our understanding of the molecular mechanisms that regulate the mode of TF function at enhancers.

Authors who are presenting talks have a * after their name.

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