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 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.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2024

Author dc:creator

• Kuoch, Michael K.

Advisor dc:contributor.advisor

• Yaffe, Michael B.

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/153874

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/153874