Single cell profiling of capillary blood enables out of clinic human immunity studies
Abstract
An individual's immune system is driven by both genetic and environmental factors that vary over time. To better understand the temporal and inter-individual variability of gene expression within distinct immune cell types, we developed a platform that leverages multiplexed single-cell sequencing and out-of-clinic capillary blood extraction to enable simplified, cost-effective profiling of the human immune system across people and time at single-cell resolution. Using the platform, we detect widespread differences in cell type-specific gene expression between subjects that are stable over multiple days.
Additional Information
© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Received 23 July 2020; Accepted 30 October 2020; Published 25 November 2020. The funding was provided by Shurl and Kay Curci Foundation, the Beckman Institute at Caltech, and Heritage Medical Research Institute. Data availability: Gene expression matrix and relevant metadata are available on https://data.caltech.edu/records/1407. FASTQ files are not being released to protect the identity of the subjects. Code availability: Custom code made for diurnal and subject specific gene detection is available on https://github.com/thomsonlab/capblood-seq. Author Contributions: T.D., D.B. and M.T. designed the study. T.D., D.B. and J.P. performed blood extraction and single-cell experiments. T.D. and D.B. performed computational analysis. T.D., D.B. and M.T. wrote the manuscript. All authors reviewed the manuscript. The authors declare no competing interests.Attached Files
Published - s41598-020-77073-3.pdf
Supplemental Material - 41598_2020_77073_MOESM1_ESM.docx
Supplemental Material - 41598_2020_77073_MOESM2_ESM.xlsx
Supplemental Material - 41598_2020_77073_MOESM3_ESM.xlsx
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Additional details
- PMCID
- PMC7688970
- Eprint ID
- 106842
- Resolver ID
- CaltechAUTHORS:20201130-100709314
- Shurl and Kay Curci Foundation
- Caltech Beckman Institute
- Heritage Medical Research Institute
- Created
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2020-12-02Created from EPrint's datestamp field
- Updated
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2023-10-23Created from EPrint's last_modified field
- Caltech groups
- Heritage Medical Research Institute, Division of Biology and Biological Engineering (BBE)