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RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...

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Label-Free Surface-Enhanced Raman Scattering Bioanalysis Based on Au@Carbon Dot Nanoprobes
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[Application of Surface-Enhanced Raman Scattering for RNA Detection].

N N Durmanov1,2,3, E V Putlyaev1,4, V V Nosikov1

  • 1Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Moscow, 119334 Russia.

Molekuliarnaia Biologiia
|May 25, 2026
PubMed
Summary
This summary is machine-generated.

Surface-enhanced Raman spectroscopy (SERS) offers sensitive RNA detection for diagnostics. Advances in aptamer-based methods and amplification strategies show promise for point-of-care testing.

Keywords:
RNA detectionRNA tertiary structureaptamerscatalytic hairpin assembly (CHA)diagnosticshybridization chain reaction (HCR)microRNA (miRNA)nanoplasmonic substratespoint-of-care (POC) diagnosticssurface-enhanced Raman scattering (SERS)viral RNA

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Area of Science:

  • Molecular Diagnostics
  • Spectroscopy
  • Nanotechnology

Background:

  • Specific RNA detection is crucial for diagnosing diseases like cancer and infections.
  • Surface-enhanced Raman spectroscopy (SERS) offers high sensitivity for molecular detection.
  • Point-of-care (POC) diagnostics require rapid and sensitive detection methods.

Purpose of the Study:

  • To comprehensively review the application of SERS for RNA detection.
  • To analyze SERS principles, substrates, and RNA detection strategies.
  • To highlight progress, challenges, and future directions in SERS-based RNA diagnostics.

Main Methods:

  • Review of physical principles of SERS and nanoplasmonic substrates (e.g., Au/Ag colloids, lithographic arrays).
  • Analysis of amplification-free (direct detection, reporter-based) and enzyme-free amplification (hybridization chain reaction - HCR, catalytic hairpin assembly - CHA) methods for RNA detection.
  • Exploration of aptamer-based strategies for target recognition and signal amplification.

Main Results:

  • SERS achieves attomolar sensitivity for RNA detection.
  • Significant progress in aptamer-functionalized SERS systems for enhanced specificity and sensitivity.
  • Demonstrated multiplexing capabilities for detecting multiple RNA targets simultaneously.
  • Identified key achievements in amplification-free and enzyme-free amplification methods.

Conclusions:

  • SERS-based RNA detection has advanced significantly, enabling highly sensitive and specific diagnostics.
  • Overcoming challenges like substrate reproducibility and accounting for native RNA structure is key.
  • Aptamer integration and microfluidic platforms are crucial for developing next-generation POC diagnostic tools.