The ability to measure the transcriptomes of single cells has only been feasible for a few years, and is becoming an extremely popular assay. While many types of analysis and questions can be answered using single cell RNA-sequencing, a central focus is the ability to survey the diversity of cell types within a sample. Unbiased and reproducible cataloging of distinct cell types requires large numbers of cells. Technological developments and protocol improvements have fuelled a consistent exponential increase in the numbers of cells studied in single cell RNA-seq analyses. In this perspective, we will highlight the key technological developments which have enabled this growth in data.
@article{arxiv.1704.01379,
title = {Exponential scaling of single-cell RNA-seq in the last decade},
author = {Valentine Svensson and Roser Vento-Tormo and Sarah A Teichmann},
journal= {arXiv preprint arXiv:1704.01379},
year = {2017}
}
Comments
13 pages, 1 figure. Manuscript restructured for readability, with improved language