R code and downstream analysis objects for the scRNA-seq atlas of normal and tumorigenic human breast tissue
- Author(s)
- Chen, Y; Pal, B; Lindeman, GJ; Visvader, JE; Smyth, GK;
- Details
- Publication Year 2022-03-23,Volume 9,Issue #1,Page 96
- Journal Title
- Scientific Data
- Abstract
- Breast cancer is a common and highly heterogeneous disease. Understanding cellular diversity in the mammary gland and its surrounding micro-environment across different states can provide insight into cancer development in the human breast. Recently, we published a large-scale single-cell RNA expression atlas of the human breast spanning normal, preneoplastic and tumorigenic states. Single-cell expression profiles of nearly 430,000 cells were obtained from 69 distinct surgical tissue specimens from 55 patients. This article extends the study by providing quality filtering thresholds, downstream processed R data objects, complete cell annotation and R code to reproduce all the analyses. Data quality assessment measures are presented and details are provided for all the bioinformatic analyses that produced results described in the study.
- Publisher
- NPG
- Research Division(s)
- Bioinformatics; Cancer Biology And Stem Cells
- PubMed ID
- 35322042
- Publisher's Version
- https://doi.org/10.1038/s41597-022-01236-2
- Open Access at Publisher's Site
https://doi.org/10.1038/s41597-022-01236-2- NHMRC Grants
- NHMRC/1078730, NHMRC/1102742, NHMRC/1058892,
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2022-04-08 10:53:23
Last Modified: 2022-04-08 10:59:04