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Transcriptome-Wide Profiling of Protein-RNA Interactions by Cross-Linking and Immunoprecipitation Mediated by FLAG-Biotin Tandem Purification
Published on: May 18, 2020
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Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP.
Christina Ernst1, Julien Duc1, Didier Trono1
1Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Nucleic Acids Research
|June 7, 2023
Summary
We developed a new method, Tailing and Ligation of cDNA (TLC)-CLIP, for profiling RNA-protein interactions. This technique significantly improves sensitivity, allowing analysis from minimal cell samples and enhancing gene regulation studies.
Area of Science:
- Molecular Biology
- Genetics
- Biochemistry
Background:
- RNA-binding proteins (RBPs) are crucial for post-transcriptional gene regulation.
- Existing methods for profiling RNA-protein interactions in vivo are challenging and require substantial starting material.
Purpose of the Study:
- To present an improved library preparation strategy for crosslinking and immunoprecipitation (CLIP) called TLC-CLIP.
- To enhance the sensitivity and efficiency of profiling RNA-protein interactions.
Main Methods:
- Developed a streamlined, bead-based library preparation strategy (TLC-CLIP).
- Incorporated solid-phase cDNA generation and ribotailing for enhanced adapter ligation efficiency.
- Eliminated time-consuming purification steps, reducing sample loss.
Main Results:
- TLC-CLIP enables profiling of RNA-protein interactions from as few as 1000 cells, demonstrating unparalleled sensitivity.
- The method shows high reproducibility and improved precision due to increased crosslinking-induced deletions.
- Crosslinking-induced deletions serve as an intrinsic quality metric, enhancing specificity and nucleotide resolution.
Conclusions:
- TLC-CLIP offers a sensitive, efficient, and streamlined approach for in vivo RNA-protein interaction profiling.
- The technique is suitable for analyzing endogenous RNA-binding proteins with minimal cell input.
- Improved precision and intrinsic quality control metrics advance the study of gene regulation.

