Journal: Blood

Article Title: Dissecting CLL through high-dimensional single-cell technologies

doi: 10.1182/blood-2018-09-835389

Figure Lengend Snippet: Summary of single-cell studies in CLL

Article Snippet: Herein we highlight the insights they have provided. table ft1 table-wrap mode="anchored" t5 Table 1. caption a7 Reference Sample input Methodology Insight Zhao et al 49 116 CLL cells from 2 time points Whole-genome DNA amplification in individual PCR tubes sCNA identified and subclonal architecture determined Wang et al 50 1152 CLL cells from 5 patients Plate-based targeted multiplex PCR assay following whole-genome amplification sCNA and sSNV identified and subclonal architecture determined Landau et al 58 393 CD19 + B cells from 2 healthy donors and 111 CLL cells from 1 patient Multiplexed scRRBS Uniformly high proportion of discordant reads in CLL cells compared with normal B cells Chaligne et al 59 383 CD19 + B cells from 4 healthy donors and 324 CLL cells from 3 patients Multiplexed scRRBS Epigenetic phylogenetic tree reconstruction Chaligne et al 59 42 CLL cells Multiplexed scRRBS and scRNA sequencing Increasing phylogenetic distance correlates with decreasing transcriptional similarity Zhao et al 49 362 CLL cells from 5 time points (35-126 cells per time point) Plate-based Smart-Seq2 scRNA sequencing Identification of 6 transcriptional clusters and their evolution over time and with treatment Wang et al 50 289 CLL cells from 4 patients Fluidigm C1 System Smart-Seq scRNA sequencing Using pathway and gene set overdispersion analysis identified unique biological processes demonstrating transcriptional heterogeneity Wang et al 44 845 CLL cells from 6 patients Plate-based targeted qPCR using Fluidigm BioMark Single-cell correlation of alternative splicing variants with SF3B1 mutational status Landau et al 13 310 CLL cells from 4 patients Fluidigm C1 System Smart-Seq scRNA sequencing Correlational of single-cell transcriptional heterogeneity with methylation data Burger et al 12 473 cells from 3 time points Plate-based targeted qPCR using Fluidigm BioMark Mutation detection to determine subclonal architecture Burger et al 12 Polydimethylsiloxane microfluidic device and targeted qPCR High-sensitivity mutation detection, including demonstration of the presence of rare resistant cells before ibrutinib initiation Open in a separate window PCR, polymerase chain reaction; qPCR, quantitative PCR; sCNA, somatic copy number alteration; scRNA, single-cell RNA; scRRBS, single-cell reduced representation bisulfite sequencing; sSNV, somatic single nucleotide variant.

Techniques: Amplification, Multiplex Assay, Whole Genome Amplification, Sequencing, Methylation, Mutagenesis