Division history single-cell data
Abstract/Contents
- Abstract
This repository contains original and gated single-cell data used to generate figures in the manuscript entitled "Proliferative tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells".
Included here: FCS files for mass cytometry data and a CSV file for processed single-cell RNA-sequencing data. Raw single-cell RNA-sequencing data and metadata are available on Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo; GEO accession number: GSE119139).
With questions, please reach out to Zinaida Good (zinaida@stanford.edu) or Sean Bendall (bendall@stanford.edu).
An extended version of the Java-based Vortex software and documentation can be accessed at: https://github.com/nolanlab/vortex.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | 2014 - 2018 |
Creators/Contributors
| Author | Good, Zinaida |
|---|---|
| Contributing author | Borges, Luciene |
| Contributing author | Vivanco Gonzalez, Nora |
| Contributing author | Sahaf, Bita |
| Contributing author | Samusik, Nikolay |
| Contributing author | Tibshirani, Robert |
| Advisor | Nolan, Garry P. |
| Advisor | Bendall, Sean C. |
Subjects
| Subject | CFSE |
|---|---|
| Subject | T cell |
| Subject | CyTOF |
| Subject | mass cytometry |
| Subject | ibrutinib |
| Subject | Department of Pathology |
| Subject | Department of Microbiology and Immunology |
| Subject | School of Medicine |
| Genre | Dataset |
Bibliographic information
| Related Publication | Good Z. et al. (2019). "Proliferative tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells." Nature Biotechnology. https://doi.org/10.1038/s41587-019-0033-2 |
|---|---|
| Location | https://purl.stanford.edu/db057gb5997 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under an Open Data Commons Public Domain Dedication & License 1.0.
Preferred citation
- Preferred Citation
- Good, Z. et al. (2019). Proliferative tracing single-cell data. Stanford Digital Repository. Available at: https://purl.stanford.edu/db057gb5997
Collection
Stanford Research Data
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- Contact
- zinaida@stanford.edu
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