Published June 21, 2021
| Version 0.1
Dataset
Open
Stem cell hierarchies and developmental origins of rhabdomyosarcoma
Authors/Creators
- Yun Wei1
- Qian Qin1
- Chuan Yan1
- Madeline N. Hayes1
- Sara P. Garcia1
- Haibin Xi2
- Daniel Do1
- Alexander H. Jin1
- Tiffany Eng1
- Karin M. McCarthy1
- Abhinav Adhikari1
- Maristela L. Onozato1
- Dimitrios Spentzos3
- Gunnlaugur P. Neilsen3
- A. John Iafrate1
- Leonard H. Wexler4
- April D. Pyle2
- Mario L. Suvà1
- Filemon Dela Cruz4
- Luca Pinello1
- David M. Langenau1
- 1. Molecular Pathology Unit, Massachusetts General Hospital Research Institute, Charlestown, MA 02129
- 2. Department of Microbiology, Immunology, and Molecular Genetics; University of California Los Angeles, Los Angeles, CA 90095
- 3. Center for Sarcoma and Connective Tissue Oncology, Department of Orthopedic Surgery, Massachusetts General Hospital, Boston, MA, 02114
- 4. Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY 10065
Description
Rhabdomyosarcoma (RMS) is the most common soft-tissue sarcoma of childhood and is comprised of two major molecular subtypes. Here, we identify common developmental stages and hierarchies in this disease.
Notes
The compressed datasets contain all the single-cell RNA-seq and lineage tracing data in the manuscript "Stem cell hierarchies and developmental origins of rhabdomyosarcoma". After uncompressing, the root directory contains all the clustering annotation information and rhabdomyosarcoa gene modules. For each folder, there is the filtered count matrix output by Cell Ranger, and normalized and filtered Seurat RDS data, and raw velocity loom file together with processed velocity h5ad file for dynamical RNA velocity models. The scripts to analyze the datasets are available on GitHub https://github.com/qinqian/rms_analysis.