Methods to interrogate cells and their interactions with single-cell resolution

Only recently have molecular methods achieved high-quality and unbiased representations of diverse intracellular molecules at the single-cell level. With this technological advancement, researchers have begun deconvolving population-level measurements to understand whether prior observations were homo- or heterogeneous across the sample. In order to make multi-omics workflows compatible with low input samples comprising a few to single cells, new methods are required. Here, we devise a scalable, integrated strategy for coupled protein and RNA detection in single cells. This method and other similar protocols enable researchers to dive deeper into cellular phenotypes while retaining single-cell resolution, critical for determining what transcriptional programs arise and in which cells with what other programs.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Chemistry

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Genshaft, Alexander S.

Advisor dc:contributor.advisor

• Alex K. Shalek.

• Chemistry.

Statement dc:rights

• MIT 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/127892

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/127892