Show simple item record

dc.contributor.advisorPaul C. Blainey, Feng Zhang, and Ibrahim Cisse.en_US
dc.contributor.authorFeldman, David,Ph. D.Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Physics.en_US
dc.date.accessioned2020-01-08T19:43:22Z
dc.date.available2020-01-08T19:43:22Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123412
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 109-117).en_US
dc.description.abstractMethods are presented for optical genetic screens and lineage tracking and recovery. Pooled optical screens use pooling and molecular encoding to conduct image-based genetic screens at large scales with reduced biological noise. These assays complement existing pooled screening approaches by measuring cellular processes over space and time. Pairing of perturbations with separate barcode sequences expands the range of genetic libraries that can be assayed, but can be challenging due to lentiviral recombination that swap barcodes within a library. Here, barcode swapping is carefully measured on a cell-by-cell basis, and a method is presented to mitigate the effects of barcode swapping in a pooled lentiviral library. Lineages within a complex cell population can be tracked via genomically integrated barcodes. Identifying and isolating lineages of interest from an ancestral population based on the characteristics of their progeny would enable probing underlying lineage-specific mechanisms, but is not possible with existing inert barcode libraries. A novel barcoding technique is shown that uses the high specificity of CRISPR/Cas9 nuclease activity to isolate viable cells from rare lineages within a population. Linking sequences to biological function is one of the defining challenges of the post-genomic era. Genetic screens are essential tools for defining genes underlying functions and enable rigorous testing of models linking sequence to function, but are limited by our ability to link sequence identity to observable cell phenotypes, such as growth, gene expression, and biochemical activity. Technological advances that integrate the fast-growing experimental genetic toolbox with high-throughput functional characterization have the potential to unlock new areas of biology for quantitative, systematic analysis.en_US
dc.description.statementofresponsibilityby David Feldman.en_US
dc.format.extent117 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.subjectPhysics.en_US
dc.titleScalable perturbation and measurement of biological function via molecular encodingen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.identifier.oclc1134391658en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Physicsen_US
dspace.imported2020-01-08T19:43:21Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentPhysen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record