Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing
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 lo...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153874 |
| Summary: | 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. |
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