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Related Experiment Video

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Step-by-Step Protocol for Superparamagnetic Nanoparticle-Based Plasma Membrane Isolation from Eukaryotic Cell.

Deepak B Thimiri Govinda Raj1, Niamat Ali Khan2, Srisaran Venkatachalam3

  • 1Envirotransgene® Bio-solutions Global Chennai India and Institute of Cancer Research, Oslo University Hospital, Oslo, Norway. deepak.balaji@bitsaa.org.

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|February 17, 2019
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Summary

We developed a novel superparamagnetic nanoparticle (SPMNP) protocol for isolating high-purity plasma membranes. This method shows promise for early cancer diagnosis using clinical samples.

Keywords:
PhospholipidsPlasma membrane and pulse-chaseSuperparamagnetic nanoparticles

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Area of Science:

  • Nanotechnology
  • Biochemistry
  • Cell Biology

Background:

  • Subcellular fractionation is crucial for understanding cell function.
  • Existing methods for plasma membrane isolation can be inefficient or yield low purity.

Purpose of the Study:

  • To develop and detail a protocol for synthesizing and functionalizing superparamagnetic nanoparticles (SPMNPs).
  • To apply these SPMNPs for efficient isolation of plasma membranes and lysosomes.
  • To explore the potential of SPMNPs for early cancer diagnosis.

Main Methods:

  • Standard thermal decomposition synthesis of iron oxide (Fe3O4) core SPMNPs.
  • Surface functionalization of SPMNPs with phospholipids using ligand addition.
  • Utilizing NH2-phospholipid-SPMNP 2.0 for plasma membrane isolation via a subcellular fractionation protocol.

Main Results:

  • Successfully synthesized and functionalized SPMNPs (SPMNP 1.0 and phospholipid-SPMNP 2.0).
  • Achieved high-purity and high-yield isolation of plasma membranes using the NH2-phospholipid-SPMNP 2.0 protocol.
  • Demonstrated the efficacy of the SPMNP-based subcellular fractionation method.

Conclusions:

  • The developed SPMNP protocol provides an efficient method for isolating high-purity plasma membranes.
  • SPMNPs offer a promising tool for subcellular fractionation and potential applications in clinical diagnostics.
  • Future work will focus on applying SPMNPs to clinical patient samples for mass spectrometry-based omics analyses for early cancer detection.