PLX030049

GSE110499: Single cell RNA sequencing of multiple myeloma II

• Organsim human
• Type RNASEQ
• Target gene
• Project ARCHS4

To investigate the relationship between genetic and transcriptional heterogeneity in a context of cancer progression, we devised a computational approach called HoneyBADGER to identify copy number variation and loss-of-heterozygosity in individual cells from single-cell RNA-sequencing data. By combining allele frequency and expression magnitude deviations, HoneyBADGER is able to infer the presence of subclone-specific alterations in individual cells and reconstruct subclonal architecture. Also HoneyBADGER to analyze single cells from a progressive multiple myeloma (MM) patient to identify major genetic subclones that exhibit distinct transcriptional signatures relevant to cancer progression. SOURCE: Daeun Ryu (daeun.dawn.ryu@gmail.com) - Samsung Genome Institute