Biology subjects

Smallegan, M.

Publications and source records attributed to Smallegan, M..

2 recordsLinked to original sources

bioRxiv2020

Nuclear compartmentalization of TERT mRNA and TUG1 lncRNA transcripts is driven by intron retention: implications for RNA-directed therapies

Numerous global connections have been made between splicing and other layers of gene regulation, including the spatial partitioning of the transcriptome in the cell. Yet, there has been surprisingly little analysis of the spatio-temporal regulation of individual protein-coding and non-coding RNA molecules in single cells. Here we address how intron retention influences the spatio-temporal dynamics of transcripts from two clinically relevant genes: TERT (Telomerase Reverse Transcriptase) pre-mRNA and TUG1 (Taurine-Upregulated Gene 1) lncRNA. Single molecule RNA FISH revealed that nuclear TERT transcripts uniformly and robustly retain two specific introns whose splicing occurs during mitosis. In contrast, TUG1 has a bimodal distribution of fully spliced cytoplasmic and intron-retained nuclear transcripts. We further test the functionality of intron-retention events using RNA-targeting thiomorpholino antisense oligonucleotides to block intron excision. We show that intron retention is the driving force for the nuclear compartmentalization of these RNAs. For both RNAs, altering this splicing-driven subcellular distribution had significant effects on cell growth. Together, these findings show that stable retention of specific introns can orchestrate spatial compartmentalization of RNAs within the cell; this process reveals new targets for RNA-based therapies.

cell biology↗

bioRxiv2020

Genome-wide binding analysis of 195 DNA Binding Proteins reveals "reservoir" promoters and human specific SVA-repeat family regulation

A key aspect in defining cell state is the complex choreography of DNA binding events in a given cell type, which in turn establishes a cell-specific gene-expression program. In the past two decades since the sequencing of the human genome there has been a deluge of genome-wide experiments which have measured gene-expression and DNA binding events across numerous cell-types and tissues. Here we re-analyze ENCODE data in a highly reproducible manner by utilizing standardized analysis pipelines, containerization, and literate programming with Rmarkdown. Our approach validated many findings from previous independent studies, underscoring the importance of ENCODEs goals in providing these reproducible data resources. This approach also revealed several new findings: (i) 1,362 promoters, termed reservoirs, have up to 111 different DNA binding-proteins localized on one promoter yet do not have any expression of steady-state RNA (ii) The human specific SVA repeat element may have been co-opted for enhancer regulation. Collectively, this study performed by the students of a CU Boulder computational biology class (BCHM 5631 - Spring 2020) demonstrates the value of reproducible findings and how resources like ENCODE that prioritize data standards can foster new findings with existing data in a didactic environment.

genomics↗