Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing
Name
kuoch-mkuoch-meng-eecs-2024-thesis.pdf
Description
Thesis PDF
Size
2.56 MB
Format
Adobe PDF
Checksum (MD5)
11253a92ed0a157d6443d46edc476174
Author(s)
Kuoch, Michael K.
Advisor(s)
Yaffe, Michael B.
Date Issued
February 2024
Publisher
Massachusetts Institute of Technology
Abstract
Bone marrow transplants are an important tool in modern medicine due to their ability to treat a wide range of diseases, spanning both cancerous and non-cancerous conditions. We aim to study the blood system dynamics using sequencing data from paired pre-transplant and post-transplant samples and look for potential expression profiles that may be biased toward successful bone marrow engraftment. We find that some genes have increased expression in post-transplant samples compared to pre-transplant samples. We also discuss using clonal lineage tracing to track cell clones throughout the transplant process and present some preliminary analyses.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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