Literature DB >> 30783638

Formation of precisely composed cancer cell clusters using a cell assembly generator (CAGE) for studying paracrine signaling at single-cell resolution.

Nikos Fatsis-Kavalopoulos1, Paul O'Callaghan, Beichen Xie, Rodrigo Hernández Vera, Olof Idevall-Hagren, Johan Kreuger.   

Abstract

The function and behaviour of any given cell in a healthy tissue, or in a tumor, is affected by interactions with its neighboring cells. It is therefore important to create methods that allow for reconstruction of tissue niches in vitro for studies of cell-cell signaling and associated cell behaviour. To this end we created the cell assembly generator (CAGE), a microfluidic device which enables the organization of different cell types into precise cell clusters in a flow chamber compatible with high-resolution microscopy. In proof-of-concept paracrine signalling experiments, 4-cell clusters consisting of one pancreatic β-cell and three breast cancer cells were formed. It has previously been established that extracellular ATP induces calcium (Ca2+) release from the endoplasmic reticulum (ER) to the cytosol before it is cleared back into the ER via sarcoplasmic/ER Ca2+ ATPase (SERCA) pumps. Here, ATP release from the β-cell was stimulated by depolarization, and dynamic changes in Ca2+ levels in the adjacent cancer cells measured using imaging of the calcium indicator Fluo-4. We established that changes in the concentration of cytosolic Ca2+ in the cancer cells were proportional to the distance from the ATP-releasing β-cell. Additionally, we established that the relationship between distance and cytosolic calcium changes were dependent on Ca2+-release from the ER using 5-cell clusters composed of one β-cell, two untreated cancer cells and two cancer cells pretreated with Thapsigargin (to deplete the ER of Ca2+). These experiments show that the CAGE can be used to create exact cell clusters, which affords precise control for reductionist studies of cell-cell signalling and permits the formation of heterogenous cell models of specific tissue niches.

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Year:  2019        PMID: 30783638     DOI: 10.1039/c8lc01153b

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  6 in total

Review 1.  Chemical Analysis of Single Cells and Organelles.

Authors:  Keke Hu; Tho D K Nguyen; Stefania Rabasco; Pieter E Oomen; Andrew G Ewing
Journal:  Anal Chem       Date:  2020-12-07       Impact factor: 6.986

2.  Computational cytometer based on magnetically modulated coherent imaging and deep learning.

Authors:  Yibo Zhang; Mengxing Ouyang; Aniruddha Ray; Tairan Liu; Janay Kong; Bijie Bai; Donghyuk Kim; Alexander Guziak; Yi Luo; Alborz Feizi; Katherine Tsai; Zhuoran Duan; Xuewei Liu; Danny Kim; Chloe Cheung; Sener Yalcin; Hatice Ceylan Koydemir; Omai B Garner; Dino Di Carlo; Aydogan Ozcan
Journal:  Light Sci Appl       Date:  2019-10-02       Impact factor: 17.782

3.  CombiANT: Antibiotic interaction testing made easy.

Authors:  Nikos Fatsis-Kavalopoulos; Roderich Roemhild; Po-Cheng Tang; Johan Kreuger; Dan I Andersson
Journal:  PLoS Biol       Date:  2020-09-17       Impact factor: 8.029

Review 4.  Microfluidic techniques for isolation, formation, and characterization of circulating tumor cells and clusters.

Authors:  Celine Macaraniag; Qiyue Luan; Jian Zhou; Ian Papautsky
Journal:  APL Bioeng       Date:  2022-07-15

5.  Modular microfluidic systems cast from 3D-printed molds for imaging leukocyte adherence to differentially treated endothelial cultures.

Authors:  Rodrigo Hernández Vera; Paul O'Callaghan; Nikos Fatsis-Kavalopoulos; Johan Kreuger
Journal:  Sci Rep       Date:  2019-08-05       Impact factor: 4.379

6.  Turning Up the Heat: Local Temperature Control During in vivo Imaging of Immune Cells.

Authors:  David Ahl; Olle Eriksson; John Sedin; Cédric Seignez; Emil Schwan; Johan Kreuger; Gustaf Christoffersson; Mia Phillipson
Journal:  Front Immunol       Date:  2019-08-27       Impact factor: 7.561

  6 in total

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