ReviewF1000Research2018
RNA interactomics: recent advances and remaining challenges.
Review in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Meeting Review on India EMBO lecture course on RNA-protein complexes: from molecular assembly to physiological functions and disease.Biology open · 2026Article
- Genome-Wide Identification of the GRAS Transcription Factor Family in Sweet Orange and the Regulation of Salt Stress-Enhanced Plant Salt Tolerance in Sweet Orange byBiomolecules · 2025Article
- ChimericFragments: computation, analysis and visualization of global RNA networks.NAR genomics and bioinformatics · 2024Article
- CheRRI-Accurate classification of the biological relevance of putative RNA-RNA interaction sites.GigaScience · 2024Article
- The snoGloBe interaction predictor reveals a broad spectrum of C/D snoRNA RNA targets.Nucleic acids research · 2022Article
- Biome-microbiome interactions in peri-implantitis: A pilot investigation.Journal of periodontology · 2022Article
- The Emerging Role of Long Non-Coding RNAs in Development and Function of Gilthead Sea Bream (Cells · 2022Article
- Identifying proximal RNA interactions from cDNA-encoded crosslinks with ShapeJumper.PLoS computational biology · 2021Article
- Bioinformatic Tools for the Analysis and Prediction of ncRNA Interactions.International journal of molecular sciences · 2021Review
- RNAnue: efficient data analysis for RNA-RNA interactomics.Nucleic acids research · 2021Article
- RNA sequencing: the teenage years.Nature reviews. Genetics · 2019Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tight regulation of cellular processes is key to the development of complex organisms but also vital for simpler ones. During evolution, different regulatory systems have emerged, among them RNA-based regulation that is carried out mainly by intramolecular and intermolecular RNA-RNA interactions. However, methods for the transcriptome-wide detection of these interactions were long unavailable. Recently, three publications described high-throughput methods to directly detect RNA duplexes in living cells. This promises to enable in-depth studies of RNA-based regulation and will narrow the gaps in our understanding of RNA structure and function. In this review, we highlight the benefits of these methods and their commonalities and differences and, in particular, point to methodological shortcomings that hamper their wider application. We conclude by presenting ideas for how to overcome these problems and commenting on the prospects we see in this area of research.
Indexed as
Identifiers
What OpenQuestion holds
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.