Literature DB >> 31544246

3D cell culture models and organ-on-a-chip: Meet separation science and mass spectrometry.

Ann Lin1,2, Frøydis Sved Skottvoll1,3, Simon Rayner1,4, Stig Pedersen-Bjergaard5, Gareth Sullivan1,6,7,8,9, Stefan Krauss1,10, Steven Ray Wilson1,3, Sean Harrison1.   

Abstract

In vitro derived simplified 3D representations of human organs or organ functionalities are predicted to play a major role in disease modeling, drug development, and personalized medicine, as they complement traditional cell line approaches and animal models. The cells for 3D organ representations may be derived from primary tissues, embryonic stem cells or induced pluripotent stem cells and come in a variety of formats from aggregates of individual or mixed cell types, self-organizing in vitro developed "organoids" and tissue mimicking chips. Microfluidic devices that allow long-term maintenance and combination with other tissues, cells or organoids are commonly referred to as "microphysiological" or "organ-on-a-chip" systems. Organ-on-a-chip technology allows a broad range of "on-chip" and "off-chip" analytical techniques, whereby "on-chip" techniques offer the possibility of real time tracking and analysis. In the rapidly expanding tool kit for real time analytical assays, mass spectrometry, combined with "on-chip" electrophoresis, and other separation approaches offer attractive emerging tools. In this review, we provide an overview of current 3D cell culture models, a compendium of current analytical strategies, and we make a case for new approaches for integrating separation science and mass spectrometry in this rapidly expanding research field.
© 2019 The Authors. Electrophoresis published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Chromatography; Electrophoresis; Mass spectrometry; Organ on a chip; Organoid

Mesh:

Year:  2019        PMID: 31544246     DOI: 10.1002/elps.201900170

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  8 in total

Review 1.  Metabolomics-based mass spectrometry methods to analyze the chemical content of 3D organoid models.

Authors:  Shannon E Murphy; Jonathan V Sweedler
Journal:  Analyst       Date:  2022-06-27       Impact factor: 5.227

2.  A low-cost 3D printed microfluidic bioreactor and imaging chamber for live-organoid imaging.

Authors:  Ikram Khan; Anil Prabhakar; Chloe Delepine; Hayley Tsang; Vincent Pham; Mriganka Sur
Journal:  Biomicrofluidics       Date:  2021-04-06       Impact factor: 2.800

3.  Electromembrane Extraction and Mass Spectrometry for Liver Organoid Drug Metabolism Studies.

Authors:  Frøydis Sved Skottvoll; Frederik André Hansen; Sean Harrison; Ida Sneis Boger; Ago Mrsa; Magnus Saed Restan; Matthias Stein; Elsa Lundanes; Stig Pedersen-Bjergaard; Aleksandra Aizenshtadt; Stefan Krauss; Gareth Sullivan; Inger Lise Bogen; Steven Ray Wilson
Journal:  Anal Chem       Date:  2021-02-03       Impact factor: 6.986

Review 4.  Organ-on-a-Chip systems for new drugs development.

Authors:  Ronny Vargas; Andrea Egurbide-Sifre; Laura Medina
Journal:  ADMET DMPK       Date:  2021-03-22

Review 5.  The horizon of bone organoid: A perspective on construction and application.

Authors:  Shuangshuang Chen; Xiao Chen; Zhen Geng; Jiacan Su
Journal:  Bioact Mater       Date:  2022-02-05

Review 6.  Microfluidics as a Novel Tool for Biological and Toxicological Assays in Drug Discovery Processes: Focus on Microchip Electrophoresis.

Authors:  Giuseppe Caruso; Nicolò Musso; Margherita Grasso; Angelita Costantino; Giuseppe Lazzarino; Fabio Tascedda; Massimo Gulisano; Susan M Lunte; Filippo Caraci
Journal:  Micromachines (Basel)       Date:  2020-06-15       Impact factor: 2.891

Review 7.  3D Cell Printing of Tissue/Organ-Mimicking Constructs for Therapeutic and Drug Testing Applications.

Authors:  Jongmin Kim; Jeong Sik Kong; Wonil Han; Byoung Soo Kim; Dong-Woo Cho
Journal:  Int J Mol Sci       Date:  2020-10-20       Impact factor: 5.923

Review 8.  Pancreas-on-a-Chip Technology for Transplantation Applications.

Authors:  Shadab Abadpour; Aleksandra Aizenshtadt; Petter Angell Olsen; Kayoko Shoji; Steven Ray Wilson; Stefan Krauss; Hanne Scholz
Journal:  Curr Diab Rep       Date:  2020-11-18       Impact factor: 4.810

  8 in total

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