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Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
DNA Microarrays02:34

DNA Microarrays

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...
Reporter Genes02:11

Reporter Genes

Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
Commonly used reporter...

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Related Experiment Video

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Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics
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Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics

Published on: March 13, 2026

Quantitative surface-enhanced Raman for gene expression estimation.

Lan Sun1, Joseph Irudayaraj

  • 1Department of Agricultural and Biological Engineering, Bindley Bioscience Center, and Birck Nanotechnology Center, Purdue University, West Lafayette, Indiana, USA.

Biophysical Journal
|June 3, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel gene expression assay using surface-enhanced Raman scattering (SERS) to precisely quantify alternative splicing in cancer cells. The method offers high sensitivity without amplification, advancing genetic material detection.

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Cancer Research

Background:

  • Accurate quantification of gene expression, particularly alternative splicing, is crucial for understanding cancer biology.
  • Existing methods often require amplification steps or lack the resolution to detect specific splice variants.
  • Surface-enhanced Raman scattering (SERS) offers potential for sensitive molecular detection.

Purpose of the Study:

  • To develop and validate a novel SERS-based gene expression assay for quantifying alternative splicing.
  • To detect and quantify the expression levels of the BRCA1 splice junction Delta(9,10) in breast cancer cells.

Main Methods:

  • Utilized nonfluorescent Raman labels with SERS substrates for gene expression quantification.
  • Integrated S1 nuclease digestion with SERS detection to target specific RNA splice junctions.
  • Extracted RNA from MCF-7 and MDA-MB-231 cancer cell lines.

Main Results:

  • Successfully quantified the expression levels of the BRCA1 splice junction Delta(9,10) using the SERS assay.
  • Achieved quantification without any amplification steps, demonstrating high sensitivity.
  • Results were cross-validated using two Raman tags and confirmed qualitatively by RT-PCR.

Conclusions:

  • The developed SERS-based assay provides a reliable and sensitive method for quantifying gene expression at the alternative splicing level.
  • This approach bypasses the need for amplification and simplifies the detection of genetic materials.
  • The methodology holds promise for advancing cancer diagnostics and research.