A single-cell atlas of multiple myeloma disease evolution
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://zenodo.org/record/11047959
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资源简介：
A collection of computationally integrated (batch corrected) scRNA-seq and scTCR-seq data from a large cohort of bone marrow and peripheral blood samples from patients with multiple myeloma, myeloma precursor disease (MGUS and SMM) and non-cancer controls.
Datasets
dataDescription.xlsx - Definition of dataset components.
panImmune.h5ad - All cells types integrated object.
Tcell.h5ad - T cells integrated object.
Tcell-scTCR.csv - Single-cell TCR data.
metadata.donor.csv - Donor metadata.
Published data acquisition
Data shared through the gene expression omnibus (GEO) can be accessed for Maura et al. under accession GSE161195, Bailur et al. under accession GSE163278, Oetjen et al. under accession GSE120221, Granja et al. under accession GSE139369, Zavidij et al. under accession GSE124310, Kfoury et al. under accession GSE143791, and Zheng et al. under accession GSE156728. Data shared via dbGaP for Sklavenitis-Pistofidis et al. can be accessed under accession phs002476.v1.p1. Data shared online can be accessed for Stephenson et al. (via https://covid19cellatlas.org/), Conde et al. (via https://www.tissueimmunecellatlas.org/), and Liu et al. (via https://explore.data.humancellatlas.org/projects/2ad191cd-bd7a-409b-9bd1-e72b5e4cce81). Single-cell data from Sklavenitis-Pistofidis et al. and extended clinical data from Maura et al. (i.e. paraprotein) are omitted and must be acquired through direct contact with these authors.
Contact information
Kane Foster - kane.foster.19@ucl.ac.uk
Kwee Yong - kwee.yong@ucl.ac.uk
Please cite our pre-print if you use this resource in your research.
创建时间：
2025-01-27
