ReviewWiley interdisciplinary reviews. RNA
HITS-CLIP: panoramic views of protein-RNA regulation in living cells.
Review in Wiley interdisciplinary reviews. RNA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 234 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
234 citing papers in PubMed, 396 citations in OpenAlex.
- M2-PRNet: multi-scale and multi-modal learning for protein-RNA binding affinity prediction.Bioinformatics (Oxford, England) · 2026Article
- RNA-binding proteins in the mouse lens: Functional classifications, expression profiling, and interaction studies of Carhsp1 with crystallin mRNAs.Developmental biology · 2026Article
- Signal or noise? RNA-binding proteins and the challenges of binding site assignments.Nucleic acids research · 2026Review
- Progress and challenges in profiling protein-RNA and protein-associated RNA-RNA interactions.RNA (New York, N.Y.) · 2026Review
- A role for ETV1 and endothelial cell-derived extracellular vesicle microRNAs in priming fibroblast response to vesicle-bound FGF2.bioRxiv : the preprint server for biology · 2026Article
- Article
- David Baltimore and the advent of eukaryotic RNA-binding proteins.Molecular biology of the cell · 2026Article
- DeepRNA-Reg: a deep-learning based approach for comparative analysis of CLIP experiments.RNA biology · 2025Article
- APEX2 proximity labeling of RNA in bacteria.Cell reports methods · 2025Article
- Protocol for mouse brain tissue processing and downstream analysis of circRNA-protein interactions in vivo.STAR protocols · 2025Article
- Critical impact of lysine 136 in TDP-43 phase separation, compartmentalization, and aggregation in living vertebrates.iScience · 2025Article
- APEX2 proximity labeling of RNA in bacteria.bioRxiv : the preprint server for biology · 2025Article
- A highly sensitive protein-RNA cross-linking mass spectrometry workflow with enhanced structural modeling potential.Nucleic acids research · 2025Article
- RNA-protein interaction prediction using network-guided deep learning.Communications biology · 2025Article
- Profiling the epigenome using long-read sequencing.Nature genetics · 2025Review
- RNA-protein interaction prediction without high-throughput data: An overview and benchmark ofComputational and structural biotechnology journal · 2024Article
- LncRNA-miRNA interactions prediction based on meta-path similarity and Gaussian kernel similarity.Journal of cellular and molecular medicine · 2024Article
- Capture of RNA-binding proteins across mouse tissues using HARD-AP.Nature communications · 2024Article
- Mapping RNA-protein interactions with subcellular resolution using colocalization CLIP.RNA (New York, N.Y.) · 2024Article
- CRISPR-dCas13d-based deep screening of proximal and distal splicing-regulatory elements.Nature communications · 2024Article
174 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
The study of gene regulation in cells has recently begun to shift from a period dominated by the study of transcription factor-DNA interactions to a new focus on RNA regulation. This was sparked by the still-emerging recognition of the central role for RNA in cellular complexity emanating from the RNA World hypothesis, and has been facilitated by technologic advances, in particular high throughput RNA sequencing and crosslinking methods (RNA-Seq, CLIP, and HITS-CLIP). This study will place these advances in context, and, focusing on CLIP, will explain the method, what it can be used for, and how to approach using it. Examples of the successes, limitations, and future of the technique will be discussed.
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.