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Related Concept Videos

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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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Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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Related Experiment Video

Updated: Jul 14, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Transcriptomics: Emerging Technologies in Tissue Gene Expression Profiling.

Agustín Robles-Remacho1,2,3, Rosario M Sanchez-Martin1,2,3, Juan J Diaz-Mochon1,2,3

  • 1GENYO. Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Avenida de la Ilustracion, 114. 18016 Granada, Spain.

Analytical Chemistry
|October 10, 2023
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics maps gene expression in tissues with high resolution. This technology is advancing rapidly, impacting fields from cancer to developmental biology.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Spatial transcriptomics offers high-resolution gene expression mapping in intact cells and tissues.
  • It provides spatial context to bulk sequencing data, enhancing biological insights.
  • The field has seen significant expansion and impact across various research areas.

Purpose of the Study:

  • To review the current status and recent advances in spatial transcriptomics technologies.
  • To analyze the molecular foundations, strengths, limitations, and applications of key techniques.
  • To discuss future directions and promote wider adoption of spatial transcriptomics.

Main Methods:

  • Discussion of technologies including microdissection, in situ sequencing, single-molecule FISH, and spatial capturing.
  • Analysis of methods for region of interest selection and single-cell/nuclei dissociation.
  • Contextualization of detection efficiency, tissue compatibility, and data analysis.

Main Results:

  • Spatial transcriptomics enables transcriptomic-wide analysis and single-cell resolution.
  • Diverse technological approaches are available, each with unique strengths and limitations.
  • The technology is applicable to tissue architecture, developmental biology, cancer, and neurodegenerative/infectious diseases.

Conclusions:

  • Continued development is crucial for the widespread adoption of spatial transcriptomics.
  • The technology holds significant potential for future research and applications.
  • Spatial transcriptomics is a transformative tool for understanding biological systems in their native context.