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

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CloneSeq : A highly sensitive analysis platform for the characterization of 3D-cultured single-cell-derived clones. / Bavli, Danny; Sun, Xue; Kozulin, Chen; Ennis, Dena; Motzik, Alex; Biran, Alva; Brielle, Shlomi; Alajem, Adi; Meshorer, Eran; Buxboim, Amnon; Ram, Oren.

In: Developmental Cell, Vol. 56, No. 12, 2021, p. 1804-1817.e7.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Bavli, D, Sun, X, Kozulin, C, Ennis, D, Motzik, A, Biran, A, Brielle, S, Alajem, A, Meshorer, E, Buxboim, A & Ram, O 2021, 'CloneSeq: A highly sensitive analysis platform for the characterization of 3D-cultured single-cell-derived clones', Developmental Cell, vol. 56, no. 12, pp. 1804-1817.e7. https://doi.org/10.1016/j.devcel.2021.04.026

APA

Bavli, D., Sun, X., Kozulin, C., Ennis, D., Motzik, A., Biran, A., Brielle, S., Alajem, A., Meshorer, E., Buxboim, A., & Ram, O. (2021). CloneSeq: A highly sensitive analysis platform for the characterization of 3D-cultured single-cell-derived clones. Developmental Cell, 56(12), 1804-1817.e7. https://doi.org/10.1016/j.devcel.2021.04.026

Vancouver

Bavli D, Sun X, Kozulin C, Ennis D, Motzik A, Biran A et al. CloneSeq: A highly sensitive analysis platform for the characterization of 3D-cultured single-cell-derived clones. Developmental Cell. 2021;56(12):1804-1817.e7. https://doi.org/10.1016/j.devcel.2021.04.026

Author

Bavli, Danny ; Sun, Xue ; Kozulin, Chen ; Ennis, Dena ; Motzik, Alex ; Biran, Alva ; Brielle, Shlomi ; Alajem, Adi ; Meshorer, Eran ; Buxboim, Amnon ; Ram, Oren. / CloneSeq : A highly sensitive analysis platform for the characterization of 3D-cultured single-cell-derived clones. In: Developmental Cell. 2021 ; Vol. 56, No. 12. pp. 1804-1817.e7.

Bibtex

@article{8cbb440f28f04d3a9963b2e93c3937fa,
title = "CloneSeq: A highly sensitive analysis platform for the characterization of 3D-cultured single-cell-derived clones",
abstract = "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.",
keywords = "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",
author = "Danny Bavli and Xue Sun and Chen Kozulin and Dena Ennis and Alex Motzik and Alva Biran and Shlomi Brielle and Adi Alajem and Eran Meshorer and Amnon Buxboim and Oren Ram",
note = "Publisher Copyright: {\textcopyright} 2021 Elsevier Inc.",
year = "2021",
doi = "10.1016/j.devcel.2021.04.026",
language = "English",
volume = "56",
pages = "1804--1817.e7",
journal = "Developmental Cell",
issn = "1534-5807",
publisher = "Cell Press",
number = "12",

}

RIS

TY - JOUR

T1 - CloneSeq

T2 - A highly sensitive analysis platform for the characterization of 3D-cultured single-cell-derived clones

AU - Bavli, Danny

AU - Sun, Xue

AU - Kozulin, Chen

AU - Ennis, Dena

AU - Motzik, Alex

AU - Biran, Alva

AU - Brielle, Shlomi

AU - Alajem, Adi

AU - Meshorer, Eran

AU - Buxboim, Amnon

AU - Ram, Oren

N1 - Publisher Copyright: © 2021 Elsevier Inc.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - 3D culturing

KW - cancer clonal expansion

KW - cancer heterogeneity

KW - cellular stemness

KW - clone-to-clone variation

KW - CloneSeq technology

KW - drop-based microfluidics

KW - early differentiation

KW - embryonic stem cells

KW - single-cell RNA-seq

U2 - 10.1016/j.devcel.2021.04.026

DO - 10.1016/j.devcel.2021.04.026

M3 - Journal article

C2 - 34010629

AN - SCOPUS:85107289236

VL - 56

SP - 1804-1817.e7

JO - Developmental Cell

JF - Developmental Cell

SN - 1534-5807

IS - 12

ER -

ID: 380216494