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

Research output: Contribution to journalJournal articleResearchpeer-review

  • Danny Bavli
  • Xue Sun
  • Chen Kozulin
  • Dena Ennis
  • Alex Motzik
  • Biran, Alva Ada
  • Shlomi Brielle
  • Adi Alajem
  • Eran Meshorer
  • Amnon Buxboim
  • Oren Ram

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.

Original languageEnglish
JournalDevelopmental Cell
Volume56
Issue number12
Pages (from-to)1804-1817.e7
ISSN1534-5807
DOIs
Publication statusPublished - 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Inc.

    Research areas

  • 3D culturing, cancer clonal expansion, cancer heterogeneity, cellular stemness, clone-to-clone variation, CloneSeq technology, drop-based microfluidics, early differentiation, embryonic stem cells, single-cell RNA-seq

ID: 380216494