2026-09-18T19:13:07Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1096402022-01-13T07:53:55Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Tyler Jacks.
Ellis, Donald Christian
Massachusetts Institute of Technology. Department of Biology.
Massachusetts Institute of Technology. Department of Biology
2017-06-06T19:22:59Z
2017-06-06T19:22:59Z
2017
2017
http://hdl.handle.net/1721.1/109640
986787912
Thesis: S.M., Massachusetts Institute of Technology, Department of Biology, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 82-87).
An unmet and paramount need in the field of cancer research is to rapidly translate basic biological findings to clinically relevant therapeutics for cancer patients. Recent technological advances have generated many innovative applications to cancer biology and in a short time have yielded a wealth of information about putative vulnerabilities across a range of cancers. The proposed work involves the development of a technique to quickly probe potential cancer-specific vulnerabilities in vivo adopting methods used in genetic screens. By harnessing the information obtained from large datasets in vitro and the utility of cutting-edge endogenous mouse models, the general aim of this work is to create a method that shortens the gap between findings in the lab to viable treatment options for cancer patients.
by Donald Christian Ellis.
S.M.
87 pages
eng
Massachusetts Institute of Technology
MIT 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.
http://dspace.mit.edu/handle/1721.1/7582
Biology.
Genetic screens in vivo using the CRISPR/Cas9 system
Thesis
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