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A single-cell atlas of multiple myeloma disease evolution

Authors: Foster, Kane; Yong, Kwee;

A single-cell atlas of multiple myeloma disease evolution

Abstract

This version is out of date - please see latest version (v4) A collection of computationally integrated (batch corrected) scRNA-seq and scTCR-seq data from a large cohort of bone marrow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.ul Please cite our pre-print if you use this resource in your research.

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Keywords

myeloma, scRNA-seq, T cell

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Related to Research communities
Cancer Research