ArticleNucleic acids research2023
Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Signal or noise? RNA-binding proteins and the challenges of binding site assignments.Nucleic acids research · 2026Review
- DHX8 regulates degradation of RNA by RNautophagy.Nucleic acids research · 2025Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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Abstract
RNA-binding proteins are instrumental for post-transcriptional gene regulation, controlling all aspects throughout the lifecycle of RNA molecules. However, transcriptome-wide methods to profile RNA-protein interactions in vivo remain technically challenging and require large amounts of starting material. Herein, we present an improved library preparation strategy for crosslinking and immunoprecipitation (CLIP) that is based on tailing and ligation of cDNA molecules (TLC). TLC involves the generation of solid-phase cDNA, followed by ribotailing to significantly enhance the efficiency of subsequent adapter ligation. These modifications result in a streamlined, fully bead-based library preparation strategy, which eliminates time-consuming purification procedures and drastically reduces sample loss. As a result, TLC-CLIP displays unparalleled sensitivity, enabling the profiling of RNA-protein interactions from as few as 1000 cells. To demonstrate the effectiveness of TLC-CLIP, we profiled four endogenous RNA-binding proteins, showcasing its reproducibility and improved precision resulting from a higher occurrence of crosslinking-induced deletions. These deletions serve as an intrinsic quality metric and increase both specificity and nucleotide-resolution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.