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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Dynamic Quantitative Sensory Testing to Characterize Central Pain Processing
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Next generation behavioral sequencing for advancing pain quantification.

Z Anissa Jhumka1, Ishmail J Abdus-Saboor2

  • 1Zuckerman Mind Brain Behavior Institute and Department of Biological Sciences, Columbia University, New York, NY, USA. Electronic address: https://twitter.com/AnissaJhumka.

Current Opinion in Neurobiology
|July 5, 2022
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Summary
This summary is machine-generated.

Next-generation behavioral sequencing uses advanced videography and computation to precisely quantify rodent pain behaviors. This breakthrough offers a more sensitive and objective approach to understanding chronic pain and developing new analgesics.

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Area of Science:

  • Neuroscience
  • Animal Behavior
  • Pain Research

Background:

  • Chronic pain affects 20% of physician visits, with many patients dissatisfied with current treatments.
  • Rodent behavioral studies are crucial for pain research but often lack detailed characterization.
  • Existing methods may alter animal sensitivity or provide incomplete behavioral data.

Purpose of the Study:

  • To introduce and summarize next-generation behavioral sequencing for pain research.
  • To highlight the potential of advanced videography and computational approaches.
  • To improve the quantitative description of pain-related behaviors in animal models.

Main Methods:

  • Utilizing high-resolution videography to capture animal movements.
  • Employing computational algorithms for detailed behavioral analysis.
  • Focusing on millisecond to minutes long behavioral timescales.

Main Results:

  • Next-generation behavioral sequencing enables quantitative description of subtle behaviors.
  • These methods offer enhanced sensitivity beyond unaided observation.
  • The approach allows for more comprehensive characterization of pain phenotypes.

Conclusions:

  • Advanced behavioral analysis techniques can significantly improve pain research.
  • Next-generation sequencing offers a more objective and detailed understanding of pain processing.
  • This methodology holds promise for the development of novel analgesics and pain therapies.