ArticleRNA biology2014
Comprehensive analysis of human small RNA sequencing data provides insights into expression profiles and miRNA editing.
Article in RNA biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 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
56 citing papers in PubMed.
- Differential Expression of MicroRNAs in the Mammary Gland of Lactating and Dry Murciano-Granadina Goats.Animals : an open access journal from MDPI · 2026Article
- Article
- Decoding microRNA arm switching: a key to evolutionary innovation and gene regulation.Cellular and molecular life sciences : CMLS · 2025Review
- Serum miRNA-101 expression signature as non-invasive diagnostic biomarker for Hepatitis C virus-associated hepatocellular carcinoma in Egyptian patients.Scientific reports · 2025Article
- A-to-I edited miR-154-p13-5p inhibited cell proliferation and migration and induced apoptosis by targeting LIX1L in the bladder cancer.Journal of Cancer · 2024Article
- Identification of microRNA editing sites in clear cell renal cell carcinoma.Scientific reports · 2023Article
- Nomogram for Early Prediction of Parkinson's Disease Based on microRNA Profiles and Clinical Variables.Journal of Parkinson's disease · 2023Article
- A dual-regulation inducible switch system for microRNA detection and cell type-specific gene activation.Theranostics · 2023Article
- Article
- Cytosolic microRNA-inducible nuclear translocation of Cas9 protein for disease-specific genome modification.Nucleic acids research · 2022Article
- Genetic architecture of microRNA expression and its link to complex diseases in the Japanese population.Human molecular genetics · 2022Article
- MicroRNA editing patterns in Huntington's disease.Scientific reports · 2022Article
- MicroRNA let-7 and viral infections: focus on mechanisms of action.Cellular & molecular biology letters · 2022Review
- The transcribed ultraconserved region uc.160+ enhances processing and A-to-I editing of the miR-376 cluster: hypermethylation improves glioma prognosis.Molecular oncology · 2022Article
- DIANA-miTED: a microRNA tissue expression database.Nucleic acids research · 2022Article
- Experimental MicroRNA Detection Methods.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Identification of microRNA editing sites in three subtypes of leukemia.Frontiers in molecular biosciences · 2022Article
- Identification and analysis of microRNA editing events in recurrent bladder cancer based on RNA sequencing: MicroRNA editing level is a potential novel biomarker.Frontiers in genetics · 2022Article
- AntiVIRmiR: A repository of host antiviral miRNAs and their expression along with experimentally validated viral miRNAs and their targets.Frontiers in genetics · 2022Article
- miRNA therapeutics in precision oncology: a natural premium to nurture.Exploration of targeted anti-tumor therapy · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) play key regulatory roles in various biological processes and diseases. A comprehensive analysis of large scale small RNA sequencing data (smRNA-seq) will be very helpful to explore tissue or disease specific miRNA markers and uncover miRNA variants. Here, we systematically analyzed 410 human smRNA-seq datasets, which samples are from 24 tissue/disease/cell lines. We tested the mapping strategies and found that it was necessary to make multiple-round mappings with different mismatch parameters. miRNA expression profiles revealed that on average ∼70% of known miRNAs were expressed at low level or not expressed (RPM < 1) in a sample and only ∼9% of known miRNAs were relatively highly expressed (RPM > 100). About 30% known miRNAs were not expressed in all of our used samples. The miRNA expression profiles were compiled into an online database (HMED, http://bioinfo.life.hust.edu.cn/smallRNA/). Dozens of tissue/disease specific miRNAs, disease/control dysregulated miRNAs and miRNAs with arm switching events were discovered. Further, we identified some highly confident editing sites including 24 A-to-I sites and 23 C-to-U sites. About half of them were widespread miRNA editing sites in different tissues. We characterized that the 2 types of editing sites have different features with regard to location, editing level and frequency. Our analyses for expression profiles, specific miRNA markers, arm switching, and editing sites, may provide valuable information for further studies of miRNA function and biomarker finding.
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.