Grants and Contracts per year
Personal profile
Research Interests
Dr. Ebbert studies neurodegenerative diseases using cutting-edge sequencing technologies and computational approaches (i.e., computational biology and bioinformatics), focusing primarily on Alzheimer’s disease and amyotrophic lateral sclerosis (ALS, or Lou Gehrig’s disease). He ultimately aims to discover disease etiology, and develop pre-symptomatic diagnostics and effective therapeutics through targeted “multi-omic” studies that combine gene expression, methylation, and long-read and single-cell sequencing technologies. Discovering the underlying etiology for Alzheimer’s disease and ALS will ultimately require discovering the mechanism at which genetics, epigenetics, and downstream processes intersect to drive disease.
Long-read sequencing is of special interest to Dr. Ebbert, because it can identify large DNA mutations (i.e., structural mutations) causing disease. Many individuals suffering from neurodegenerative diseases, including both Alzheimer’s disease and ALS, do not have a known genetic cause despite extensive efforts from medical and research communities. Most studies, to date, focus on short-read sequencing, overlooking disease-causing structural mutations. Dr. Ebbert is using long-read sequencing technologies to identify disease-causing structural mutations in families and diseases with no known genetic cause.
Focus areas
- Discovering inherited and somatic disease-causing structural mutations in ALS and Alzheimer’s disease. The genetic cause for most individuals suffering from ALS and Alzheimer’s disease is unknown, despite major short-read sequencing efforts. Structural mutations are known to cause numerous neurodegenerative diseases, but few studies have specifically targeted these large mutations. Dr. Ebbert hopes to identify both genetic and somatic (mutations arising during development or later) structural mutations causing disease using long-read sequencing technologies, including PacBio and Oxford Nanopore Technologies.
- Combine gene expression, methylation, and cutting-edge sequencing technologies to reveal underlying disease etiology. Humans are complex on every level, and human diseases are no exception. To truly understand a disease’s underlying etiology, Dr. Ebbert is combining gene expression, methylation, and cutting-edge sequencing technologies (e.g., long-read and single-cell sequencing) to understand how the genetics and all downstream processes work together to cause or prevent ALS and Alzheimer’s disease.
- Develop pre-symptomatic disease diagnostics. To meaningfully improve an ALS or Alzheimer’s disease patient’s life and outcome requires an effective therapy; equally important, however, is a pre-symptomatic diagnostic. Neurodegenerative diseases require pre-symptomatic intervention, because recovering lost neurons is not possible once clinical symptoms onset. Dr. Ebbert is applying his extensive experience in developing disease diagnostics to ALS and Alzheimer’s disease to identify disease before it’s too late.
Biography
Graduate Students & Trainees
- Ms. Sabrina M. Krause (Ph.D. student; May 2021-present)
- Mr. Bernardo Aguzzoli-Heberle (Ph.D. student; May 2022-present)
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Brigham Young University
2014
Master of Science, Univ Of Utah
2012
Bachelor of Science, Brigham Young University
2007
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Genetic Architecture of Aging-Related TDP-43 and Mixed Pathology Dementia
Fardo, D., Ebbert, M., Katsumata, Y. & Nelson, P.
4/15/23 → 3/31/26
Project: Research project
-
University of Kentucky Alzheimer's Disease Research Center
Van Eldik, L., Abner, E., Bahrani, A., Bieberich, E., Caudill, T., Cheng, Q., Choucair, I., Ebbert, M., El Khouli, R., Fardo, D., Gold, B., Harp, J., Jiang, Y., Jicha, G., Katsumata, Y., King, R., Kryscio, R., Lee, D., Nelson, P., Neltner, J., Powell, D., Rhodus, E., Schmitt, F., Selenica, M., Wang, W., Whitehurst, L., Wilson, D., Zachariou, V., Gibson, A., Johnson, N., Moga, D. & Wilcock, D.
8/1/21 → 6/30/26
Project: Research project
-
Data Core University of Kentucky Alzheimer's Disease Research Center
Kryscio, R., Abner, E., Ebbert, M., Fardo, D., Katsumata, Y., Schmitt, F. & Van Eldik, L.
8/1/21 → 6/30/26
Project: Research project
-
Therapeutic Targets and Diagnostics in Alzheimer's Disease
12/1/20 → 8/31/24
Project: Research project
-
Using Long-Range Technologies as a Multi-omic Approach to Understand Alzheimer's Disease in Brain Tissue
9/15/20 → 5/31/25
Project: Research project
-
Culture shock: microglial heterogeneity, activation, and disrupted single-cell microglial networks in vitro
Cadiz, M. P., Jensen, T. D., Sens, J. P., Zhu, K., Song, W. M., Zhang, B., Ebbert, M., Chang, R. & Fryer, J. D., Dec 2022, In: Molecular Neurodegeneration. 17, 1, 26.Research output: Contribution to journal › Article › peer-review
Open Access16 Scopus citations -
Curated variation benchmarks for challenging medically relevant autosomal genes
Wagner, J., Olson, N. D., Harris, L., McDaniel, J., Cheng, H., Fungtammasan, A., Hwang, Y. C., Gupta, R., Wenger, A. M., Rowell, W. J., Khan, Z. M., Farek, J., Zhu, Y., Pisupati, A., Mahmoud, M., Xiao, C., Yoo, B., Sahraeian, S. M. E., Miller, D. E., Jáspez, D., & 17 others , May 2022, In: Nature Biotechnology. 40, 5, p. 672-680 9 p.Research output: Contribution to journal › Article › peer-review
34 Scopus citations -
The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores
Department of Genetics University of North Carolina, Sep 2 2022, In: Communications Biology. 5, 1, p. 899 1 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
The Ramp Atlas: facilitating tissue and cell-specific ramp sequence analyses through an intuitive web interface
Miller, J. B., Meurs, T. E., Hodgman, M. W., Song, B., Miller, K. N., Ebbert, M. T. W., Kauwe, J. S. K. & Ridge, P. G., Jun 2022, In: NAR Genomics and Bioinformatics. 4, 2, p. lqac039Research output: Contribution to journal › Article › peer-review
-
The Ramp Atlas: facilitating tissue and cell-specific ramp sequence analyses through an intuitive web interface
Miller, J. B., Meurs, T. E., Hodgman, M. W., Song, B., Miller, K. N., Ebbert, M. T. W., Kauwe, J. S. K. & Ridge, P. G., Jun 1 2022, In: NAR Genomics and Bioinformatics. 4, 2, lqac039.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations