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Massachusetts Institute of Technology

Quantitative modeling of 5' splice site subclass regulation and evolution

Abstract

dc:description.abstract

Pre-mRNA splicing is an essential molecular process required for eukaryotic gene expression. In this thesis, I present a previously unknown mechanism of splicing regulation where a family of splicing factors, the LUC7 family, compete to differentially impact 5→ splice site (5→ SS) selection in a sequence-dependent manner. I quantitatively characterize two major subclasses of 5→ SS in eukaryotes and outline distinctive features of 5→ SS in exons affected by the three human LUC7 paralogs: LUC7L2 and LUC7L enhance splicing of “right-handed” 5→ SS that exhibit stronger consensus matching on the intron side of the nearly-invariant / GU, while LUC7L3 boosts splicing of “left-handed” 5→ SS with stronger consensus matching upstream of the /GU. Using a range of experimental systems, from human cells to mutant plants, I show that LUC7 paralogs have opposing effects on these two 5→ SS subclasses and that this regulatory mechanism likely originated in the last common ancestor of animals and plants over 1.5 billion years ago. I further evaluate a competing model of 5→ SS subclass regulation involving METTL16- mediated U6 snRNA modification and reconcile both models by devising computational tools that identify sequence features predictive splicing dysregulation in transcriptome-wide datasets. Finally, I examine the evolutionary dynamics of left- and right-handed 5→ SS and propose a model of intron evolution in which codon and intron phase constraints in protein-coding genes shape both minor-to-major intron conversion and transitions between left- and right- 5→ SS subclasses.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Biology
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kenny, Connor Jens
Advisor dc:contributor.advisor
  • Burge, Christopher B.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/164489
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/164489

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Kenny, Connor Jens. Quantitative modeling of 5' splice site subclass regulation and evolution. Massachusetts Institute of Technology, 2025. https://hdl.handle.net/1721.1/164489