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Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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The respiratory system is comprised of the organs that enable breathing. Air enters the nostrils and mouth, followed by the pharynx (throat) and larynx (voice box), which lead to the trachea (windpipe). In the thoracic cavity, the trachea splits into two bronchi that allow air to enter the lungs. The bronchi split into progressively smaller bronchioles and terminate in small groups of tiny sacs in the lungs called alveoli, where gas exchange occurs.
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Related Experiment Video

Updated: Jul 19, 2025

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Spatial transcriptomics: recent developments and insights in respiratory research.

Wen-Jia Wang1, Liu-Xi Chu1,2, Li-Yong He1

  • 1State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.

Military Medical Research
|August 17, 2023
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics (ST) reveals respiratory system

Keywords:
LungSpatial multi-omicsSpatial transcriptomicsTumor

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Area of Science:

  • Respiratory Medicine
  • Genomics
  • Bioinformatics

Background:

  • Cellular heterogeneity in the respiratory system poses research challenges.
  • Bulk and single-cell RNA sequencing (scRNA-seq) offer insights but lack spatial context.
  • Understanding cellular interactions and localization is crucial for respiratory research.

Purpose of the Study:

  • To review the latest advancements in spatial transcriptomics (ST) technology.
  • To summarize ST applications in respiratory physiological and pathological processes, focusing on the lungs.
  • To propose future directions for ST in respiratory research.

Main Methods:

  • Review of recent iterative spatial transcriptomics technologies.
  • Analysis of ST applications in lung physiology and pathology.
  • Discussion of challenges and future prospects in ST for respiratory studies.

Main Results:

  • Spatial transcriptomics (ST) effectively elucidates spatial localization and cellular interactions in the respiratory system.
  • ST has been widely applied to various respiratory studies, enhancing understanding beyond scRNA-seq.
  • The review highlights ST's utility in dissecting complex lung processes.

Conclusions:

  • Spatial transcriptomics is a powerful tool for understanding respiratory system complexity.
  • Future directions include high-throughput full-length transcriptome, multi-omics integration, and advanced bioinformatics.
  • These advancements will drive the study of systematic mechanisms in respiratory diseases.