| dc.contributor.advisor | Fei Chen. | en_US |
| dc.contributor.author | Shivaei, Shirin | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2018-12-18T19:46:54Z | |
| dc.date.available | 2018-12-18T19:46:54Z | |
| dc.date.copyright | 2018 | en_US |
| dc.date.issued | 2018 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/119713 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. | en_US |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 45-47). | en_US |
| dc.description.abstract | We present cell gels, a platform for high-throughput multiplexed measurements of transcriptome and proteome in single cells. This method takes advantage of droplet barcoding and hydrogel chemistry to capture mRNAs and proteins in thousands of cells. We report the challenges of acquiring sequencing data from cell gels due to complex mechanisms underlying bead based library prep in polyacrylamide gels. We show the applications of this method in detecting intracellular proteins, sorting based on intracellular markers after cell lysis, and expanding thousands of cells in single droplets. | en_US |
| dc.description.statementofresponsibility | by Shirin Shivaei. | en_US |
| dc.format.extent | 47 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | High-throughput multiplexed transcriptome and protein measurements in single cells | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 1078636279 | en_US |
