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Nextflow data processing pipelines and R code for single cell RNA sequencing analysis of relapsed and refractory multiple myeloma

The RRMM (relapsed and refractory multiple myeloma) repository contains Nextflow data processing pipelines and R code for single cell RNA sequencing (scRNA-seq) analysis. The code was used in the study "Subclone-specific microenvironmental impact and drug responses in refractory multiple myeloma revealed by single cell transcriptomics" by Stephan M. Tirier, Jan-Philipp Mallm, Simon Steiger, Alexandra M. Poos, Mohamed H. S. Awwad, Nicola Giesen, Nicola Casiraghi, Hana Susak, Katharina Bauer, Anja Baumann, Lukas John, Anja Seckinger, Dirk Hose, Carsten Müller-Tidow, Hartmut Goldschmidt, Oliver Stegle, Michael Hundemer, Niels Weinhold, Marc S. Raab and Karsten Rippe.
Plots for main and supplementary figures of the study can be created with the R-scripts provided in the RRMM project and the data available at accession number GSE161801 of Gene Expression Omnibus .

Figures

Contains R markdown notebooks to recreate figures from the above study.

RRMM samples and scRNA-seq dataset

scRNA-seq analysis of RRMM tumor cells

Treatment response of +1q subclones

Analysis of cellular interaction of myeloma and BME cells

T-cell heterogeneity in RRMM patient vs. healthy donor samples

CD16+ monocyte heterogeneity in RRMM

BME changes in +1q RRMM

Processing Pipeline

Contains templates for the Nextflow pipeline to conduct the following tasks: