Step-by-Step Protocol for In Situ Profiling of RNA Subcellular Localization Using TATA-seq.
Xiao Jiang1, Chu Xu1, Lulu Hu1,2
1Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Bio-Protocol
|March 2, 2026
Summary
We developed Target Transcript Amplification and Sequencing (TATA-seq) for precise RNA localization within membrane-less organelles. This method enables sensitive, high-fidelity RNA profiling in specific cellular compartments.
Area of Science:
- Cell Biology
- Molecular Biology
- Genomics
Background:
- Membrane-less organelles are crucial for cellular processes, regulating biomolecules via phase separation.
- Detecting RNA distribution within these dynamic hubs is essential but challenging.
- Existing methods lack efficiency and specificity for RNA profiling in these compartments.
Purpose of the Study:
- To present a novel, efficient protocol for in situ RNA profiling within membrane-less organelles.
- To enable detailed analysis of RNA subcellular localization and diversity.
- To provide a versatile tool for spatial transcriptomics.
Main Methods:
- Developed Target Transcript Amplification and Sequencing (TATA-seq) for in situ RNA detection.
- Utilized antibody-mediated targeting and T7 promoter-driven reverse transcription.
- Incorporated IgG control for background subtraction and T7 RNA polymerase for amplification.
Main Results:
- Achieved high-fidelity RNA amplification from low-input samples (<10,000 cells).
- Demonstrated optimized sequencing metrics with <25% duplication rate and ~90% mapping ratio.
- Validated TATA-seq's modularity for diverse organelles, including nuclear speckles and paraspeckles.
Conclusions:
- TATA-seq offers subcellular spatial resolution for RNA analysis in membrane-less organelles.
- The protocol ensures high sensitivity and yield, adaptable to various biological conditions.
- This method advances spatial transcriptomics and the study of RNA biology in cellular compartments.
Keywords:
Membrane-less organelles profilingRNA spatial transcriptomicsStress granuleT7 linear amplificationMore Related Videos
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