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Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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Related Experiment Video

Updated: May 21, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Subcellular level spatial transcriptomics with PHOTON.

Shreya Rajachandran1,2, Qianlan Xu1,2, Qiqi Cao1,2

  • 1Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Nature Communications
|May 14, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed PHOTON, a new method for spatial transcriptome profiling. This technique maps RNA distribution within cells and tissues at subcellular resolution, advancing our understanding of RNA function and regulation.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Cell Biology

Background:

  • RNA localization within subcellular compartments is crucial for its function, including storage, processing, translation, and degradation.
  • Understanding the spatial distribution of RNA is key to deciphering its regulatory roles and overall function within cells.
  • Current methods may lack the resolution or throughput to comprehensively map RNA at the subcellular level within intact tissues.

Purpose of the Study:

  • To introduce PHOTON, a novel method for spatial transcriptome profiling at subcellular resolution.
  • To demonstrate the capability of PHOTON in capturing tissue-level transcriptomes and organelle-specific RNA content.
  • To investigate the role of m6A modifications in mRNA localization to stress granules.

Main Methods:

  • PHOTON combines high-resolution imaging with high-throughput sequencing.
  • The method enables in situ transcriptome profiling of specific cell types within tissues.
  • It allows for the analysis of RNA content within subcellular compartments like nucleoli, mitochondria, and stress granules.

Main Results:

  • PHOTON accurately captures the transcriptome of target cell types, such as ovarian granulosa cells, in situ.
  • The method successfully profiles RNA content within subcellular compartments, including nucleoli, mitochondria, and stress granules.
  • PHOTON revealed the functional role of m6A modifications in the partitioning of mRNA into stress granules.

Conclusions:

  • PHOTON is a versatile and generalizable platform for spatial transcriptome profiling at subcellular resolution.
  • The method provides a powerful lens for understanding subcellular molecular dynamics.
  • PHOTON facilitates the study of RNA localization and its functional implications, including the role of RNA modifications.