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Related Concept Videos

Translation01:31

Translation

Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Leaky Scanning02:28

Leaky Scanning

During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R stands for...
Translation01:31

Translation

Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life

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Related Experiment Video

Updated: Jun 25, 2026

High-throughput, Automated Extraction of DNA and RNA from Clinical Samples using TruTip Technology on Common Liquid Handling Robots
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Ultrasensitive Nucleic Acid Testing: From Foundational Research to Clinical Translation.

Bao Li1,2, Xuanyu Gu3,4, Wu Zeng1,4

  • 1School of Biomedical Engineering, Tsinghua University, Beijing 100084, China.

ACS Nano
|November 19, 2025
PubMed
Summary
This summary is machine-generated.

Advancements in nucleic acid detection technologies, including amplification-dependent, amplification-free, and nanotechnology-based methods, are revolutionizing molecular science for predictive and personalized medicine. Overcoming challenges in standardization and integration is key to widespread clinical application.

Keywords:
amplification-dependent platformamplification-free paradigmanalytical techniquesclinical liquid biopsyclinical translationenvironmental and ecological sciencesinfectious disease surveillancenanotechnology-based biosensornucleic acid testingultrasensitive detection

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Area of Science:

  • Molecular Biology
  • Biotechnology
  • Nanotechnology

Background:

  • Sensitive nucleic acid detection is vital for shifting disease management towards prediction and personalized medicine.
  • Current technologies enable early disease detection, infectious disease surveillance, and environmental DNA analysis.

Purpose of the Study:

  • To review and synthesize the technological landscape of nucleic acid detection.
  • To explore amplification-dependent, amplification-free, and nanotechnology-based strategies.
  • To discuss clinical translation and future directions in nucleic acid detection.

Main Methods:

  • Review of amplification-dependent platforms (qPCR, dPCR, isothermal methods).
  • Exploration of amplification-free paradigms (CRISPR-based diagnostics, nanopore sequencing).
  • Detailing nanotechnology-based biosensors utilizing nanomaterials for signal transduction.

Main Results:

  • Technological evolution spans from quantitative polymerase chain reaction (PCR) to digital PCR (dPCR) and isothermal methods.
  • Amplification-free methods like CRISPR and nanopore sequencing achieve sensitivity via direct target interrogation.
  • Nanotechnology biosensors leverage nanomaterials for optical or electronic signal generation.

Conclusions:

  • Successful clinical translation enables applications like liquid biopsy for cancer monitoring and environmental DNA reconstruction.
  • Key challenges include preanalytical workflow standardization and developing integrated "sample-in, answer-out" systems.
  • Future advancements lie in converging molecular tools with microfluidics, automation, and AI for decentralized, predictive healthcare.