CloneSeq: A highly sensitive analysis platform for the characterization of 3D-cultured single-cell-derived clones

Single-cell assays have revealed the importance of heterogeneity in many biological systems. However, limited sensitivity is a major hurdle for uncovering cellular variation. To overcome it, we developed CloneSeq, combining clonal expansion inside 3D hydrogel spheres and droplet-based RNA sequencing (RNA-seq). We show that clonal cells maintain similar transcriptional profiles and cell states. CloneSeq of lung cancer cells revealed cancer-specific subpopulations, including cancer stem-like cells, that were not revealed by scRNA-seq. Clonal expansion within 3D soft microenvironments supported cellular stemness of embryonic stem cells (ESCs) even without pluripotent media, and it improved epigenetic reprogramming efficiency of mouse embryonic fibroblasts. CloneSeq of ESCs revealed that the differentiation decision is made early during Oct4 downregulation and is maintained during early clonal expansion. Together, we show CloneSeq can be adapted to different biological systems to discover rare subpopulations by leveraging the enhanced sensitivity within clones.

Authors: Danny Bavli, Xue Sun, Chen Kozulin, Dena Ennis, Alex Motzik, Alva Biran, Shlomi Brielle, Adi Alajem, Eran Meshorer, Amnon Buxboim, Oren Ram
Year of publication: 2021
Journal: Developmental Cell, ISSN 1534-5807,

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