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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
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High-Throughput Microenvironment Microarray (MEMA) High-Resolution Imaging.

Tiina A Jokela1, Michael E Todhunter2, Mark A LaBarge3

  • 1Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA. tiina.jokela@gmail.com.

Methods in Molecular Biology (Clifton, N.J.)
|January 30, 2022
PubMed
Summary
This summary is machine-generated.

The Microenvironment Microarray (MEMA) platform enables high-throughput screening of cell-microenvironment interactions. Automating imaging analysis provides single-cell resolution insights into cell fate determination and disease progression.

Keywords:
High-content imagingImageJMEMAMicroarrayMicroenvironmentNIS-ElementsPowershell

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Area of Science:

  • Cell Biology
  • Biotechnology
  • Pathology

Background:

  • Cell fate is determined by interactions with the surrounding microenvironment.
  • Pathological conditions, such as cancer, involve complex and heterogeneous cell-microenvironment dynamics.
  • Understanding these interactions is crucial for disease progression and therapeutic resistance.

Purpose of the Study:

  • To discuss technical aspects of dissecting cell-microenvironment interactions.
  • To introduce the Microenvironment Microarray (MEMA) platform for high-throughput screening.
  • To describe the automation of a high-resolution imaging pipeline for single-cell analysis.

Main Methods:

  • Utilizing the Microenvironment Microarray (MEMA) platform for functional high-throughput screening.
  • Analyzing interactions between cells and combinatorial microenvironments at the single-cell level.
  • Automating a high-throughput and high-resolution imaging pipeline.

Main Results:

  • The MEMA platform provides insights into how microenvironmental components elicit cell phenotype and function.
  • Single-cell resolution analysis enables detailed examination of cell-microenvironment interactions.
  • Automated imaging pipeline facilitates efficient and high-throughput data acquisition.

Conclusions:

  • The MEMA platform, coupled with automated imaging, is a powerful tool for studying cell-microenvironment interactions.
  • This approach offers valuable insights into cell fate determination and disease mechanisms.
  • Further research can leverage this technology to explore complex biological systems and develop targeted therapies.