ReviewNature protocols2024
Small RNA structural biochemistry in a post-sequencing era.
Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- qMAP decodes RNA fragmentation dynamics in development and disease.Molecular systems biology · 2026Article
- A method of comprehensive sequencing analysis of the small RNA fragmentome (RiboMarker).RNA (New York, N.Y.) · 2026Article
- Extracellular Small RNAs in Human Milk: Molecular Profiles, Stability and Fragment-Specific Responses in Cell-Based Assays.Non-coding RNA · 2026Article
- Review
- FUSION: a family-level integration approach for robust differential analysis of small non-coding RNAs.Bioinformatics (Oxford, England) · 2025Article
- Review
- Altered levels of angiogenin and tRNA-derived fragments associate with severe asthma.Scientific reports · 2025Article
- Improved precision, sensitivity, and adaptability of ordered two-template relay cDNA library preparation for RNA sequencing.RNA (New York, N.Y.) · 2025Article
- tRNA-derived small RNAs: their role in the mechanisms, biomarkers, and therapeutic strategies of colorectal cancer.Journal of translational medicine · 2025Review
- Diverse plant RNAs coatProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Improved precision, sensitivity, and adaptability of Ordered Two-Template Relay cDNA library preparation for RNA sequencing.bioRxiv : the preprint server for biology · 2024Article
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
Abstract
High-throughput sequencing has had an enormous impact on small RNA research during the past decade. However, sequencing only offers a one-dimensional view of the transcriptome and is often highly biased. Additionally, the 'sequence, map and annotate' approach, used widely in small RNA research, can lead to flawed interpretations of the data, lacking biological plausibility, due in part to database issues. Even in the absence of technical biases, the loss of three-dimensional information is a major limitation to understanding RNA stability, turnover and function. For example, noncoding RNA-derived fragments seem to exist mainly as dimers, tetramers or as nicked forms of their parental RNAs, contrary to widespread assumptions. In this perspective, we will discuss main sources of bias during small RNA-sequencing, present several useful bias-reducing strategies and provide guidance on the interpretation of small RNA-sequencing results, with emphasis on RNA fragmentomics. As sequencing offers a one-dimensional projection of a four-dimensional reality, prior structure-level knowledge is often needed to make sense of the data. Consequently, while less-biased sequencing methods are welcomed, integration of orthologous experimental techniques is also strongly recommended.
Indexed as
Identifiers
38057624What 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.