Summer 2024: Deciphering Colon Cancer: Single-Cell Insights into NR4A1 Gene Dynamics

Affiliations:	Genetics & Genomics Research Leadership
Project Leader:	Victoria Gatlin Leeva808@tamu.edu Biomedical Sciences
Faculty Mentor:	James Cai, Ph.D.
Meeting Times:	TBA
Team Size:	3
Open Spots:	0
Special Opportunities:	Skill Development: Engage in hands-on learning by acquiring and honing skills in cutting-edge technologies, including single-cell RNA sequencing and advanced computational analysis using MATLAB. This offers students a unique opportunity to gain expertise in high-demand techniques in genomics and bioinformatics. Research Group Membership: Exceptional students may be invited to become active members of the research group, fostering a collaborative and immersive research environment. This includes regular participation in group meetings, discussions, and access to ongoing projects within the broader research focus. Mentorship Opportunities: Students will have the chance to work closely with experienced researchers and faculty, providing valuable mentorship that can significantly enhance their understanding of the research process and career development. Networking Events: Participate in networking events within and beyond the institution, connecting with professionals, researchers, and industry experts. These events can open doors for future collaborations and career opportunities. Developmental Seminars: Access specialized seminars on techniques, tools, and methodologies relevant to the project. These workshops can enhance students’ skill sets and strengthen their understanding of the broader field of genomics and cancer research.
Team Needs:	MANDATORY: Prior experience in one or more relevant coding language (Python, R, MATLAB, or Linux), Upper level classification with established major/minor in either biology, computer science, statistics or other relevant field. Not required but highly recommended: genomic and sequence analysis, construction of data processing pipelines, and quality control/quality assurance analysis.
Description:	Through the utilization of scRNA-seq technologies, our project endeavors to construct intricate single-cell profiles of colon tissue, unveiling the nuanced heterogeneity that forms the foundation of colon cancer. Employing high-throughput scRNA-seq analysis, we will meticulously unravel the expression dynamics of the NR4A1 gene within individual cells, aiming for a detailed understanding of its pivotal role in the landscape of colon cancer. As we embark on this journey, our overarching goal is to not only decode the molecular intricacies of NR4A1 but also to shed light on the functional implications, providing unprecedented insights into the molecular processes, cellular components, and biological functions influenced by this crucial gene.