Show simple item record

dc.contributor.advisorLeona Samson and Bevin Engelward.en_US
dc.contributor.authorJi, Yuge.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2020-03-24T15:50:55Z
dc.date.available2020-03-24T15:50:55Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/124284
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 38-43).en_US
dc.description.abstractThe transcriptional response to DNA damage plays a critical role in cellular responses to exogenous stress, and is a key component of resistance to therapeutics in cancer cells. Understanding the underlying mechanisms, as well as the differences in DNA damage responses, between cell lines can have implications for how we evaluate drug treatments, and contributes to our understanding of cellular growth and replication. Here, I have analyzed a dataset previously created by Chandni Valiathan, replicating and expanding beyond her initial analyses. Dr. Valiathans initial studies clearly show that cell lines derived from different individuals are highly variable in their sensitivity to BCNU. We therefore set out to determine mechanisms underlying this difference in phenotypic responses. Using gene expression analysis methods, we determined that the transcription factor NF-Y plays a key role in the differential response among cell lines, which is consistent with a model wherein transactivation of genes related to DNA repair, cell cycle arrest, and apoptosis together dictate cell fate.en_US
dc.description.statementofresponsibilityby Yuge Ji.en_US
dc.format.extent43 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleComputational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damageen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1145122891en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2020-03-24T15:50:55Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record