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Mary Lauren Benton, Ph.D.

Assistant Professor Baylor University

  • Waco TX

Research focuses on the application of computer science methods to interpret how DNA sequences alter genome function and disease risk.

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Biography

Dr. Mary Lauren Benton joined the Baylor Engineering and Computer Science faculty as an assistant professor of bioinformatics. Prior to Baylor, she completed her M.S. and Ph.D. in Biomedical Informatics at Vanderbilt University.

Dr. Benton’s research focuses on the application of computer science methods to interpret how DNA sequences alter genome function and impact disease risk. Her current interests include the development of new approaches that integrate diverse datasets and advance our understanding of gene regulation.

The Benton Lab is particularly interested in developing new methods to interpret the impact of genetic variation on gene regulatory processes, and to understand the genetic and environmental risk factors of substance use.

Areas of Expertise

Gene Regulation
Computational Biology
Advanced Statistical Computing

Accomplishments

Rising Star

Kern Entrepreneurial Engineering Network (KEEN)
2025

Outstanding Bioinformatics Senior

Baylor University School of Engineering and Computer Science
2015

Outstanding Computer Science Scholar

Baylor University School of Engineering and Computer Science
2015

Education

Baylor University

BSI

Bioinformatics

2015

Vanderbilt University

M.S.

Biomedical Informatics

2018

Vanderbilt University

Ph.D.

Biomedical Informatics

2020

Media Appearances

Cracking the Code

Baylor ECS Magazine  online

2025-12-10

As a child, Mary Lauren Benton, B.S.I. ’15, Ph.D., was drawn to puzzles of all kinds: the more challenging, the better. Riddles, logic, crosswords and jigsaw puzzles all held the same allure, the opportunity to problem-solve. When dumping out a 1,000-piece jigsaw puzzle featuring an image of hundreds of postage stamps that all looked similar, Benton remembers thinking, “Oh, this will be hard,” with a feeling of delighted anticipation. Perhaps it’s this mindset — finding excitement instead of dread in difficult challenges — that has allowed Benton to flourish in the world of bioinformatics, even if she originally wandered into the field by accident.

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Mary Lauren Benton: 2025 KEEN Rising Star

Engineering Unleashed  online

2025-10-22

Congratulations to Mary Lauren Benton (Baylor University), recipient of the 2025 KEEN Rising Star award!
A KEEN Rising Star is a junior faculty member who has gone above and beyond to equip undergraduate engineers with an entrepreneurial mindset (EM). Awards are given annually.

Enjoy these excerpts from her interview

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5 Ways Baylor Research is Impacting Public Health

Baylor Magazine  online

2023-12-07

Embedded within the 3 billion letters that comprise a person’s DNA sequence are clues about the processes that make up human life, including the underlying genetics of disease. Mary Lauren Benton, B.S. ’15, Ph.D., assistant professor of bioinformatics, probes the secrets DNA sequences contain to improve human health and open the door to tailored treatments for individuals.

“The biggest mystery of all is how our DNA sequence encodes instructions for so many different processes,” Benton said.

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Articles

Identifying deleterious noncoding variation through gain and loss of CTCF binding activity

The American Journal of Human Genetics

2025

CCCTC binding factor (CTCF) regulates gene expression through DNA binding at thousands of genomic loci. Genetic variation in these CTCF binding sites (CBSs) is an important driver of phenotypic variation, yet extracting those that are likely to have functional consequences in whole-genome sequencing remains challenging. To address this, we develop a hypothesis-driven framework to identify and prioritize CBS variants in gnomAD. We synthesize CTCF's binding patterns at 1,063,878 genomic loci across 214 biological contexts into a summary of binding activity. We find that high binding activity significantly correlates with both conserved nucleotides (Pearson R = 0.35, p < 2.2 × 10−16) and sequences that contain high-quality CTCF binding motifs (Pearson R = 0.63, p = 2.9 × 10−12).

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PANoptosis, a combination of inflammatory cell death mechanisms, induced by Ophiobolin A in breast cancer cell lines

bioRxiv

2025

An unmet challenge in managing breast cancer is treatment failure due to resistance to apoptosis-inducing chemotherapies. Thus, it is important to identify novel non-apoptotic therapeutic agents. Several non-apoptotic programmed cell death pathways utilize specific cellular signaling events to trigger lytic and pro-inflammatory cell death. PANoptosis, which encompasses pyroptosis, apoptosis and necroptosis, is of paramount importance in the regulation of cell death and immune responses. Our study illustrates that ophiobolin A (OpA) is an anti-cancer agent that triggers lytic cell death in breast cancer cells, including triple-negative breast cancer (TNBC), via a mechanism dependent on RIPK1. This study reveals that OpA induces typical pyroptosis-like characteristics, including cellular swelling, plasma membrane rupture, GSDMD cleavage and release of cytokines in breast cancer cells.

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Nanopore-based sequencing of active DNA replication reveals key principles of metazoan replication fork progression, origin and termination sites

bioRxiv

2025

Balancing replication fork progression and origin usage is essential to maintain genome stability, but measuring replication fork progression rates and origin usage throughout the genome has been challenging. Here, we use nanopore sequencing combined with DNAscent to measure replication fork progression together with origin and termination site usage with single-molecule precision throughout the Drosophila genome with nearly full genome coverage. We find that replication fork progression rates are not uniform throughout the genome. Rather, fork progression is slowest in euchromatin, and this is not correlated with active transcription. Replication origins are also influenced by chromatin, but the exact position of initiation is highly variable and are often several kilobases away from ORC binding sites.

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