Evidence map›Paper›PMID 31820801›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2019

Co-culture of functionally enriched cancer stem-like cells and cancer-associated fibroblasts for single-cell whole transcriptome analysis.

Yu-Chih Chen, Seungwon Jung, Zhixiong Zhang, Max S Wicha, Euisik Yoon

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yu-Chih ChenDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122, USA.
Seungwon JungDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122, USA.
Zhixiong ZhangDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122, USA.
Max S WichaForbes Institute for Cancer Discovery, University of Michigan, 2800 Plymouth Rd., Ann Arbor, MI 48109, USA.
Euisik YoonDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122, USA.

Funding

Using Microfluidic Single Cell Culture to Characterize Cancer Cell Asymmetric DivisionR01CA203810 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUCKANOVICH, RONALD J, YOON, EUISIK · 2017 to 2020
$1.6M
Engineered Microenvironments to Study Heterogeneity and Stemness in Breast CancerR21CA195016 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOON, EUISIK · 2016 to 2017
$354k
NCI NIH HHS R01 CA203810NCI NIH HHS R21 CA195016
6 · The paper itself

Abstract

Considerable evidence suggests that breast cancer development and metastasis are driven by cancer stem-like cells (CSCs). Due to their unique role in tumor initiation, the interaction between CSCs and stromal cells is especially critical. In this work, we developed a platform to reliably isolate single cells in suspension and grow single-cell-derived spheres for functional enrichment of CSCs. The platform also allows adherent culture of stromal cells for cancer-stromal interaction. As a proof of concept, we grew SUM149 breast cancer cells and successfully formed single-cell-derived spheres. Cancer-associated fibroblasts (CAFs) as stromal cells were found to significantly enhance the formation and growth of cancer spheres, indicating elevated tumor-initiation potential. After on-chip culture for 14 days, we retrieved single-cell derived spheres with and without CAF co-culture for single-cell transcriptome sequencing. Whole transcriptome analysis highlights that CAF co-culture can boost cancer stemness especially ALDHhigh CSCs and alter epithelial/mesenchymal status. Single-cell resolution allows identification of individual CSCs and investigation of cancer cellular heterogeneity. Incorporating whole transcriptome sequencing data with public patient database, we discovered novel genes associated with cancer-CAF interaction and critical to patient survival. The preliminary works demonstrated a reliable platform for enrichment of CSCs and studies of cancer-stromal interaction.

Indexed as

TranscriptomeBreast NeoplasmsCancer-Associated FibroblastsCell Line, TumorCoculture TechniquesDimethylpolysiloxanesEpithelial-Mesenchymal TransitionFemaleHumansLab-On-A-Chip DevicesNeoplastic Stem CellsRNA-SeqbaysilonDimethylpolysiloxanescancer-associated fibroblastcell co-cultureRNA-Seqsingle celltumor sphere

Identifiers

PMID31820801
PMCPMC11457749

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.