6 ms·
I'm really excited for more meta-analyses to come out of these large-scale projects. I'm even more excited for the prospect of a single cell TCGA which the Huma
by kevinwuhoo 9y ago
I'm really excited for more meta-analyses to come out of these large-scale projects. I'm even more excited for the prospect of a single cell TCGA which the Human Cell Atlas will eventually get to.
Unfortunately it seems like many papers that operate on bulk data are a large part signal deconvolution due to cell type heterogeneity as well as tumor heterogeneity. I'm looking forward to when we have single cell resolution of all the data types in this paper: mRNA, miRNA, methylation, surface markers, and CNVs (maybe one day SNPs). We'll then know things like the identity of lymphocytes and their TCR/BCRs as well as the true heterogeneity tumors. There have been a lot of cool papers that have been published just this year on subsets of this single cell data [1, 2, 3].
[1]: https://www.nature.com/articles/s41586-018-0024-3 https://www.nature.com/articles/s41586-018-0024-3
[2]: https://www.biorxiv.org/content/early/2018/04/02/221994 https://www.biorxiv.org/content/early/2018/04/02/221994
[3]: http://www.cell.com/cell/fulltext/S0092-8674(17)31449-6 http://www.cell.com/cell/fulltext/S0092-8674(17)31449-6
- gww 9y agoThe Human Cell Atlas project will certainly yield a tremendous amount of data and define many new cell types. I wonder how much resolution we will get from single cell RNA-seq since technological limitations permit the analysis of genes with high expression. In my experience with single cell analysis we only detect a few thousand genes per cell and many of those are not detected frequently enough to infer their contribution to the cells identity.