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dc.contributor.advisorPatrick S. Doyle.en_US
dc.contributor.authorNagarajan, Maxwell Benjamin.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Chemical Engineering.en_US
dc.date.accessioned2020-09-15T22:04:16Z
dc.date.available2020-09-15T22:04:16Z
dc.date.copyright2020en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127570
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, May, 2019en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 117-128).en_US
dc.description.abstractMany cancer patients develop resistance to cancer therapies over time. One major reason for resistance and disease recurrence is that cancer tissue is heterogeneous. A particular therapy may select for cells that are resistant to the therapy, leading to a more aggressive tumor over time. It is difficult to characterize the heterogeneities within cancer tissue with traditional bioassays that average over large tissue areas. Methods that can assess heterogeneities in tissue by measuring biomolecules while preserving spatial information are emerging as a key part of biological and medical studies, but there are limited technologies for quantitation and multiplexing of microRNA (miRNA), a class of small, noncoding RNAs that play important roles in many diseases. miRNA are being explored as potential therapeutic targets and as biomarkers for diagnostics.en_US
dc.description.abstractThere is increasing evidence that obtaining both spatially-resolved and multiplexed measurements of miRNA is critical for diagnostic and prognostic value of miRNA tests. In this thesis, we developed a new method for making spatially-resolved and multiplexed measurements of miRNA from tissue using microengineered hydrogels. First, we used barcoded, hydrogel microparticles to perform multiplexed miRNA measurements from formalin-fixed, paraffin-embedded (FFPE) tissue, the gold standard sample type used by pathologists. In an assay that requires fewer steps and less time than existing approaches, we found the signal after an assay from FFPE tissue with paraffin was 10% less than the signal from FFPE tissue when paraffin was removed before the assay. Second, we developed and characterized a nanoliter well array platform for performing multiplexed microRNA assays from nanoliter sample volumes and applied this to microRNA measurements from unprocessed cells.en_US
dc.description.abstractBy reducing sample volumes and sensing area we obtained about 100x improvement in assay sensitivity. Third, using assay conditions we found in the first project and adapting the nanoliter well arrays from the second project, we performed spatially-resolved and multiplexed measurements of microRNA directly from FFPE tissue. We achieved up to 9-plex assays and 300 [mu]m spatial resolution. We found statistically significant differences between different tumor regions from the same mouse model tissue section. We envision that this technology could be used for biomarker-based diagnostics.en_US
dc.description.statementofresponsibilityby Maxwell Benjamin Nagarajan.en_US
dc.format.extent128 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectChemical Engineering.en_US
dc.titleMicroengineered hydrogels for spatially-resolved, multiplexed microRNA quantification from tissueen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.identifier.oclc1193320025en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Chemical Engineeringen_US
dspace.imported2020-09-15T22:04:15Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentChemEngen_US


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