Literature DB >> 24051515

Automated reagent-dispensing system for microfluidic cell biology assays.

Jimmy Ly1, Michael Masterman-Smith, Ravichandran Ramakrishnan, Jing Sun, Brent Kokubun, R Michael van Dam.   

Abstract

Microscale systems that enable measurements of oncological phenomena at the single-cell level have a great capacity to improve therapeutic strategies and diagnostics. Such measurements can reveal unprecedented insights into cellular heterogeneity and its implications into the progression and treatment of complicated cellular disease processes such as those found in cancer. We describe a novel fluid-delivery platform to interface with low-cost microfluidic chips containing arrays of microchambers. Using multiple pairs of needles to aspirate and dispense reagents, the platform enables automated coating of chambers, loading of cells, and treatment with growth media or other agents (e.g., drugs, fixatives, membrane permeabilizers, washes, stains, etc.). The chips can be quantitatively assayed using standard fluorescence-based immunocytochemistry, microscopy, and image analysis tools, to determine, for example, drug response based on differences in protein expression and/or activation of cellular targets on an individual-cell level. In general, automation of fluid and cell handling increases repeatability, eliminates human error, and enables increased throughput, especially for sophisticated, multistep assays such as multiparameter quantitative immunocytochemistry. We report the design of the automated platform and compare several aspects of its performance to manually-loaded microfluidic chips.

Entities:  

Keywords:  HTS; automated biology; high-throughput screening; lab-on-a-chip; microfluidics; robotics and instrumentation

Mesh:

Substances:

Year:  2013        PMID: 24051515     DOI: 10.1177/2211068213504758

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  2 in total

Review 1.  Microfluidic technologies for immunotherapy studies on solid tumours.

Authors:  K Paterson; S Zanivan; R Glasspool; S B Coffelt; M Zagnoni
Journal:  Lab Chip       Date:  2021-06-15       Impact factor: 6.799

2.  Differential equation methods for simulation of GFP kinetics in non-steady state experiments.

Authors:  Robert D Phair
Journal:  Mol Biol Cell       Date:  2018-01-24       Impact factor: 4.138

  2 in total

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