Theses and Dissertations
Date of Award
7-2022
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Biochemistry and Molecular Biology
First Advisor
Dr. Manish Tripathi
Second Advisor
Dr. Subhash Chauhan
Third Advisor
Dr. Meena Jaggi
Abstract
Treatment options for cancer are becoming much more limited due to the robust characteristics of cancer that allows them to rapidly develop drug resistance. This may be a result of cancer cells’ ability to switch between differentiated and undifferentiated states (plasticity). Diagnostic measurement and detection of cancer and its progression is essential for developing successful treatments. Specific cancer targets whose expressions are highly associated with increased incidence, risk, and spread of cancer therefore become perfect targets for therapeutic intervention. One such novel target that is still being studied is the Y-box binding protein 1 (YB-1), which is a prominent transcription factor in many cancer types including breast, liver, and colorectal. Therefore, attacking these cancer targets with specific drugs that act against them may prove to be extremely helpful in fighting off its associated cancer. Taking advantage of the latest bioinformatics tools may aid in streamlining this process.
Recommended Citation
Karkoutly, Omar Muneer, "Screening for Potential Therapeutic Targets of Yb-1 Protein Using a Bioinformatics Approach" (2022). Theses and Dissertations. 1060.
https://scholarworks.utrgv.edu/etd/1060
Comments
Copyright 2022 Omar Muneer Karkoutly. All Rights Reserved.
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