ArticleQuantitative biology (Beijing, China)2018
Mapping transcriptome-wide protein-RNA interactions to elucidate RNA regulatory programs.
Article in Quantitative biology (Beijing, China), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed.
- Adipose Tissue-Derived Extracellular Vesicle MicroRNAs: Diagnostic Biomarkers for the Pathophysiology Associated with Obesity.Precision chemistry · 2025Review
- Insights into the Mode and Mechanism of Interactions Between RNA and RNA-Binding Proteins.International journal of molecular sciences · 2024Review
- Mapping protein-RNA binding in plants with individual-nucleotide-resolution UV cross-linking and immunoprecipitation (plant iCLIP2).Nature protocols · 2024Review
- Relevance and Regulation of Alternative Splicing in Plant Heat Stress Response: Current Understanding and Future Directions.Frontiers in plant science · 2022Review
- BRIO: a web server for RNA sequence and structure motif scan.Nucleic acids research · 2021Article
- Autoregulation of yeast ribosomal proteins discovered by efficient search for feedback regulation.Communications biology · 2020Article
- High throughput approaches to study RNA-protein interactions in vitro.Methods (San Diego, Calif.) · 2020Review
- Unveiling ncRNA regulatory axes in atherosclerosis progression.Clinical and translational medicine · 2020Review
- Approaches for measuring the dynamics of RNA-protein interactions.Wiley interdisciplinary reviews. RNA · 2020Review
- Discovering sequence and structure landscapes in RNA interaction motifs.Nucleic acids research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundOur understanding of post-transcriptional gene regulation has increased exponentially with the development of robust methods to define protein-RNA interactions across the transcriptome. In this review, we highlight the evolution and successful applications of crosslinking and immunoprecipitation (CLIP) methods to interrogate protein-RNA interactions in a transcriptome-wide manner.
resultsHere, we survey the vast array of
conclusionsIn summary, this review summarizes the benefits of characterizing RNA-protein networks to further understand the regulation of gene expression and disease pathogenesis. Our review comments on how future CLIP technologies can be adapted to address outstanding questions related to many aspects of RNA metabolism and further advance our understanding of RNA biology.
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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.