Single-Cell RNA Sequencing for the Detection of Clonotypic V(D)J Rearrangements in Multiple Myeloma.
Antonio MateraAlessio MarellaAkihiro MaedaMatteo C Da ViàFrancesca LazzaroniSonia FabrisStefania PioggiaLaura PorrettiFederico ColomboFederica TorricelliAntonino NeriElisa TaianaGiuseppina FabbianoValentina TrainiElisa GenuardiDaniela DrandiNiccolo' BolliMarta LionettiPublished in: International journal of molecular sciences (2022)
Multiple myeloma (MM) has a highly heterogeneous genetic background, which complicates its molecular tracking over time. Nevertheless, each MM patient's malignant plasma cells (PCs) share unique V(D)J rearranged sequences at immunoglobulin loci, which represent ideal disease biomarkers. Because the tumor-specific V(D)J sequence is highly expressed in bulk RNA in MM patients, we wondered whether it can be identified by single-cell RNA sequencing (scRNA-seq). To this end we analyzed CD138 + cells purified from bone marrow aspirates of 19 samples with PC dyscrasias by both a standard method based on bulk DNA and by an implementation of the standard 10x Genomics protocol to detect expressed V(D)J sequences. A dominant clonotype was easily identified in each sample, accounting on average for 83.65% of V(D)J-rearranged cells. Compared with standard methods, scRNA-seq analysis proved highly concordant and even more effective in identifying clonal productive rearrangements, by-passing limitations related to the misannealing of consensus primers in hypermutated regions. We next validated its accuracy to track 5 clonal cells with absolute sensitivity in a virtual sample containing 3180 polyclonal cells. This shows that single-cell V(D)J analysis may be used to find rare clonal cells, laying the foundations for functional single-cell dissection of minimal residual disease.
Keyphrases
- single cell
- induced apoptosis
- rna seq
- cell cycle arrest
- bone marrow
- endoplasmic reticulum stress
- randomized controlled trial
- genome wide
- high throughput
- healthcare
- signaling pathway
- mesenchymal stem cells
- primary care
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- case report
- dna methylation
- prognostic factors
- clinical practice
- quantum dots
- circulating tumor cells
- patient reported
- single molecule
- virtual reality