Novel droplet techniques for integrative single cell analyses
Abstract/Contents
- Abstract
- The last decade has yielded transformative new methods to analyze single cells, revealing new insights into cellular diversity, tissue organization, and organism development. Droplet microfluidics, in particular, has made it possible to characterize single cells by their genome, epigenome, and transcriptome at unprecedented scale. These techniques have given rise to the first cell atlases, catalogs of hundreds of thousands of cells classified by type across tissues, systems, and even whole organisms. However, despite these advances, researchers lack an unbiased, high-throughput means to link cellular phenotype to genotype within the same cell. This capability would allow single cell analyses to move beyond simply characterizing the heterogeneity within systems and toward a more mechanistic understanding of whole-cell regulation. Here I describe the development of a new technology, Droception, that marries the three most powerful single cell analysis techniques — droplet microfluidics, flow cytometry, and next-generation sequencing — to screen and sort cells by complex phenotypes with downstream sequencing. This technology has the potential to expand our mechanistic understanding of rare biological populations, identify novel cell types unresolved by current techniques, and unlock new avenues for single cell multi-omics.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Brower, Kara Kimberly |
|---|---|
| Degree supervisor | Fordyce, Polly |
| Thesis advisor | Fordyce, Polly |
| Thesis advisor | Covert, Markus |
| Thesis advisor | Wang, Bo, (Computer systems engineer) |
| Degree committee member | Covert, Markus |
| Degree committee member | Wang, Bo, (Computer systems engineer) |
| Associated with | Stanford University, Department of Bioengineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Kara K. Brower. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis Ph.D. Stanford University 2020. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Kara Kimberly Brower
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