
Fernando Biase
Principal Investigator
PhD in Genetics
Reproductive and Developmental Systems Genomics
Our mission is to understand the molecular mechanisms that drive fertility and the early stages of embryo development and implantation in mammals. To achieve our goals, we are strongly committed to combining experimental, and systems genomics approaches to understand the dynamics of gene regulatory and signaling networks that orchestrate successful events related to fertility or infertility. Our efforts focus on three primary thrusts: 1) Molecular profiling of heifer infertility; 2) The acquisition of developmental competence in oocytes and the molecular signals of embryo survival; 3) Molecular signaling between conceptus and endometrium.
Our research program is partially funded by:
- The United States Department of Agriculture
- Virginia Cattle Industry Board
There are several causes of infertility. In the Biase Lab, we are tackling the problem in heifers in beef and dairy cattle. Our multidisciplinary program aims at profiling blood born molecules for the comprehensive investigation of genetic and physiological alterations that contribute to infertility. Then, we employ artificial intelligence algorithms for the prediction of fertility in heifers as early as 6 months of age.
The female gamete stores massive amounts of RNAs, proteins and metabolites. The qualitative and quantitative composition of these stores define the ability of this oocyte to be fertilized and sustain the early embryo development. We are interested in understanding the regulatory venues that drive the synthesis of RNA in oocytes. Furthermore, we focus on unveiling how the accumulation of RNAs will contribute to the oocyte developmental competence.
The initial cell cycles of the mammalian organisms are an intriguing, and amazing, phase of the development. The development of a complex multicellular organism from one cell (also called zygote) is far from being understood by developmental biologists. In our lab, we are researching the gene regulatory network wiring that allows the embryo to successfully reach the blastocyst stage. First, we are interested in understanding how the embryo’s genome is activated. We are also investigating the genetics and molecular features that lead to early embryonic developmental arrest.
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After the formation of blastocyst, the embryos hatch from the zona pelucida and the embryonic cells are in immediate contact with the endometrial cells in the uterus. Then, a two-way molecular communication takes place so that the embryo is not rejected by the endometrium and is nourished by the uterus. This communication is essential for the successful implantation and subsequent placentation. We are interested in finding the multitude of pathways the conceptus uses to communicate with the endometrium and vice-versa.
Principal Investigator
PhD in Genetics
Reproductive and Developmental Systems Genomics
Graduate Student
PhD Student
Genetics, Bioinformatics, and Computational Biology
Graduate Student
PhD Student
Animal Sciences
Recent Graduates and Their Career Paths:
2025 - Gustavo Schettiini - PhD → Postdoctoral Researcher at Virginia Commonwealth University
2024 - Makenzie Marrella - PhD → Data Analyst at East Penn Manufacturing
2023 - Jada Nix - MS → Doctoral program at University of Missouri
2020 - Bailey Walker - MS → Embryologist and Laboratory Technician at Alabama Center for Reproductive Medicine
2019 - Sarah E Moorey - PhD → Assistant Professor at University of Tennessee
2018 - Katelyn Kimble - MS → Texas A&M College of Veterinary Medicine & Biomedical Sciences
For a complete list of publications, please visit Pubmed or Google Scholar. BioRxiv papers can be loaded using bioRxiv
2020-currentTheriogenology. 2025 Nov. doi: 10.1016/j.theriogenology.2025.117595 Read Paper
J Anim Sci Biotechnol. 2024 Sep 13;15(1):130. doi: 10.1186/s40104-024-01083-8 Read Paper
BMC Genomics. 2024 Aug 9;25(1):775. doi: 10.1186/s12864-024-10685-5 Read Paper
STAR Protoc. 2024 Mar 15;5(1):102940. doi: 10.1016/j.xpro.2024.102940 Read Paper
J Anim Sci. 2024 Jan 3;102:skae126. doi: 10.1093/jas/skae126 Read Paper
PNAS Nexus. 2023 Oct 20;2(11):pgad343. doi: 10.1093/pnasnexus/pgad343 Read Paper
PNAS Nexus. 2023 Sep 2;2(9):pgad284. doi: 10.1093/pnasnexus/pgad284 Read Paper
Sci Rep. 2023 Aug 4;13(1):12664. doi: 10.1038/s41598-023-39858-0 Read Paper
J Anim Sci Biotechnol. 2023 May 5;14(1):62. doi: 10.1186/s40104-023-00861-0 Read Paper
Front Genet. 2023 Apr 3;14:1038291. doi: 10.3389/fgene.2023.1038291 Read Paper
Anim Reprod Sci. 2023 Jan;248:107174. doi:10.1016/j.anireprosci.2022.107174 Read Paper
Sci Rep. 2022 May 17;12(1):8196. doi: 10.1038/s41598-022-12178-5 Read Paper
STAR Protocols. 2021; 2(4). doi: 10.1016/j.xpro.2021.100895 Read PDF
Sci Rep. 2020 Oct 8;10(1):16786. doi: 10.1038/s41598-020-73694-w Read PDF
J Anim Sci Biotechnol. 2020 Oct 1;11:97. doi: 10.1186/s40104-020-00503-9 Read PDF
Biol Reprod. 2020 Apr 15;102(4):784-794. doi: 10.1093/biolre/ioaa015 Read Abstract
We look forward to having new team members joining our laboratory to
work on a multidisciplinary research program that encompasses the
disciplines of Reproductive and Developmental Biology, Molecular
Genetics, Genomics and Computational Biology.
Enthusiastic and goal-oriented researchers who are interested in strengthening their training and developing skills that will help them progress in their career are encouraged to contact us. Prospective graduate students may also choose to be part of the Molecular and Cellular Biology or Genetics, Bioinformatics, and Computational Biology programs.
If you are interested in joining our research program, please send an email to fbiase @ vt.edu.
Our lab is located at 175 W Campus Dr, Blacksburg, VA 24061
We have great facilities that allow us to advance our research.
Researching
the genes that affect cell development
Virginia Tech news
highlights our work on studying early stages of embryo development using
CRISPR-Cas technology. Published on February 20, 2024
Dr. Fernando Biase and his student are conducting CRISPR-cas gene
editing research in cattle embryos to better understand factors that
affect development. Students in his lab gain hand-on research
experience.
Feb 20, 2024
Contemporary
and Emerging Issues Symposium I
from ASAS Taking Stock blog
post, Published on July 18, 2021
“Dr. Fernando Biase spoke about “Grand Challenges within Breeding and
Genetics”
Predicting
cattle infertility through machine-learning
by Max Esterhuizen,
Published on September 15, 2020
“Fernando Biase and the other researchers are working to understand
the potential gene transcripts that circulate in the animal’s
bloodstream that can potentially predict the likelihood of a pregnancy
occurring, with the goal of finding out how early these transcripts can
be identified in a calf.”
Auburn
University researcher working to improve fertility in cattle
by
Paul Hollis, Published on July 10, 2019
Copyright © 2025 Fernando Biase All rights reserved.