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 |
| _version_ | 1826207358439653376 |
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| author | Kuoch, Michael K. |
| author2 | Yaffe, Michael B. |
| author_facet | Yaffe, Michael B. Kuoch, Michael K. |
| author_sort | Kuoch, Michael K. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:48:05Z |
| format | Thesis |
| id | mit-1721.1/153874 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:48:05Z |
| publishDate | 2024 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1538742024-03-22T03:32:37Z Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing Kuoch, Michael K. Yaffe, Michael B. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 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. M.Eng. 2024-03-21T19:12:42Z 2024-03-21T19:12:42Z 2024-02 2024-03-04T16:37:59.856Z Thesis https://hdl.handle.net/1721.1/153874 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Kuoch, Michael K. Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing |
| title | Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing |
| title_full | Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing |
| title_fullStr | Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing |
| title_full_unstemmed | Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing |
| title_short | Probing Steady-state and Post-transplant Blood System Dynamics with Computational Analysis and Lineage-tracing |
| title_sort | probing steady state and post transplant blood system dynamics with computational analysis and lineage tracing |
| url | https://hdl.handle.net/1721.1/153874 |
| work_keys_str_mv | AT kuochmichaelk probingsteadystateandposttransplantbloodsystemdynamicswithcomputationalanalysisandlineagetracing |