Application of transcriptomics, computational modeling, and evolutionary analysis to investigate the regulation of transcription elongation factors

Between transcription initiation and termination, RNA Polymerase II (RNAPII) associates with a variety of transcription elongation factors. These proteins modulate RNAPII elongation rate, RNAPII processivity, and the activity of enzymes that co-transcriptionally process RNA. The evolutionarily conserved Paf1 complex (Paf1C), consisting of Paf1, Ctr9, Rtf1, Cdc73, and Leo1, associates with elongating RNAPII and has been implicated in a variety of co-transcriptional processes. Defects in Paf1C have been associated with disease states and misregulation of co-transcriptional events. Therefore, an understanding of how Paf1C functions in transcription elongation is paramount to understanding how these functions impact human health. Thus, for my dissertation, I investigated Paf1C and other transcription elongation factors to advance understanding of the fundamental processes underlying gene expression. Herein I describe my progress in characterizing the roles of Paf1C and other transcription elongation factors through multiple approaches. Through one investigation, I elucidate the direct and indirect contributions of Paf1C subunits to chromatin and transcription regulation using multi-omic and computational approaches. This work uncovers subunit-specific functions of Paf1C regulating transcription elongation processivity and an indirect role of Paf1C in modulating transcript processing through splicing. I have additionally developed a model of transcription elongation dynamics (TED) to predict how RNAPII elongation is altered in the short- and long-term absence of Paf1C. Furthermore, I interrogate the contributions of Paf1C-dependent histone modifications towards Paf1C-dependent transcriptional phenotypes. This work comprehensively analyzes both the immediate and extended roles of each Paf1C subunit in transcription elongation and transcript regulation. I also describe my contributions to another study characterizing the phylogenetics of core transcription elongation factors including Paf1C across the tree of life. In collaboration with Aakash Grover, we uncovered patterns of apparent reductive evolution which may render some transcription elongation factors disposable in select clades. This work reveals flexibility in the composition of the transcription elongation machinery across species. Together, this work advances our understanding of the fundamental biological processes regulating transcription in a model eukaryote and across all domains of life.

Publication Details

Journal
D-Scholarship@Pitt (University of Pittsburgh)
Published
2024-12-18
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of transcriptomics, computational modeling, and evolutionary analysis to investigate the regulation of transcription elongation factors

D-Scholarship@Pitt (University of Pittsburgh)
Genomics and Chromatin Dynamics
article

Application of transcriptomics, computational modeling, and evolutionary analysis to investigate the regulation of transcription elongation factors

article en

Abstract

Between transcription initiation and termination, RNA Polymerase II (RNAPII) associates with a variety of transcription elongation factors. These proteins modulate RNAPII elongation rate, RNAPII processivity, and the activity of enzymes that co-transcriptionally process RNA. The evolutionarily conserved Paf1 complex (Paf1C), consisting of Paf1, Ctr9, Rtf1, Cdc73, and Leo1, associates with elongating RNAPII and has been implicated in a variety of co-transcriptional processes. Defects in Paf1C have been associated with disease states and misregulation of co-transcriptional events. Therefore, an understanding of how Paf1C functions in transcription elongation is paramount to understanding how these functions impact human health. Thus, for my dissertation, I investigated Paf1C and other transcription elongation factors to advance understanding of the fundamental processes underlying gene expression. Herein I describe my progress in characterizing the roles of Paf1C and other transcription elongation factors through multiple approaches. Through one investigation, I elucidate the direct and indirect contributions of Paf1C subunits to chromatin and transcription regulation using multi-omic and computational approaches. This work uncovers subunit-specific functions of Paf1C regulating transcription elongation processivity and an indirect role of Paf1C in modulating transcript processing through splicing. I have additionally developed a model of transcription elongation dynamics (TED) to predict how RNAPII elongation is altered in the short- and long-term absence of Paf1C. Furthermore, I interrogate the contributions of Paf1C-dependent histone modifications towards Paf1C-dependent transcriptional phenotypes. This work comprehensively analyzes both the immediate and extended roles of each Paf1C subunit in transcription elongation and transcript regulation. I also describe my contributions to another study characterizing the phylogenetics of core transcription elongation factors including Paf1C across the tree of life. In collaboration with Aakash Grover, we uncovered patterns of apparent reductive evolution which may render some transcription elongation factors disposable in select clades. This work reveals flexibility in the composition of the transcription elongation machinery across species. Together, this work advances our understanding of the fundamental biological processes regulating transcription in a model eukaryote and across all domains of life.

D-Scholarship@Pitt (University of Pittsburgh)
Openalex Percentile: Top 50%
Genomics and Chromatin Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Application of transcriptomics, computational modeling, and evolutionary analysis to investigate the regulation of transcription elongation factors · D-Scholarship@Pitt (University of Pittsburgh) (2024) | TGRS Research Map | TGRS