ArticleGenomics, proteomics & bioinformatics2018
Identification and Analysis of Human Sex-biased MicroRNAs.
Article in Genomics, proteomics & bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 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
69 citing papers in PubMed, 125 citations in OpenAlex.
- Understanding Sex Differences in Autoimmune Diseases: Immunologic Mechanisms.International journal of molecular sciences · 2025Review
- Differential causal networks highlight sex-based differences in human tissues.Briefings in bioinformatics · 2025Article
- Extracellular vesicles from cyclic mice modulate liver transcriptome in estroupause mice independent of age.Molecular and cellular endocrinology · 2025Article
- Maximal and sub-maximal exercise tests alter PBMC microRNA expression: insights into sport- and sex-specific variations.Frontiers in physiology · 2025Article
- Small Differences and Big Changes: The Many Variables of MicroRNA Expression and Function in the Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- Micro RNA Dysregulation in Keratinocyte Carcinomas: Clinical Evidence, Functional Impact, and Future Directions.International journal of molecular sciences · 2024Review
- Article
- Hallmarks of sex bias in immuno-oncology: mechanisms and therapeutic implications.Nature reviews. Cancer · 2024Article
- Lifestyle-Driven Variations in Nutrimiromic MicroRNA Expression Patterns across and beyond Genders.Life (Basel, Switzerland) · 2024Article
- Sex-Biased Expression and Response of microRNAs in Neurological Diseases and Neurotrauma.International journal of molecular sciences · 2024Review
- HMDD v4.0: a database for experimentally supported human microRNA-disease associations.Nucleic acids research · 2024Article
- Article
- Identification and Analysis of Sex-Biased Copy Number Alterations.Health data science · 2024Article
- Article
- Article
- Gender Differences and miRNAs Expression in Cancer: Implications on Prognosis and Susceptibility.International journal of molecular sciences · 2023Review
- Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- The potential of three whole blood microRNAs to predict outcome and monitor treatment response in sarcoid-bearing equids.Veterinary research communications · 2023Article
- Article
- Identification of Potential microRNA Panels for Male Non-Small Cell Lung Cancer Identification Using Microarray Datasets and Bioinformatics Methods.Journal of personalized medicine · 2022Article
9 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
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sex differences are widely observed under various circumstances ranging from physiological processes to therapeutic responses, and a myriad of sex-biased genes have been identified. In recent years, transcriptomic datasets of microRNAs (miRNAs), an important class of non-coding RNAs, become increasingly accessible. However, comprehensive analysis of sex difference in miRNA expression has not been performed. Here, we identified the differentially-expressed miRNAs between males and females by examining the transcriptomic datasets available in public databases and conducted a systemic analysis of their biological characteristics. Consequently, we identified 73 female-biased miRNAs (FmiRs) and 163 male-biased miRNAs (MmiRs) across four tissues including brain, colorectal mucosa, peripheral blood, and cord blood. Our results suggest that compared to FmiRs, MmiRs tend to be clustered in the human genome and exhibit higher evolutionary rate, higher expression tissue specificity, and lower disease spectrum width. In addition, functional enrichment analysis of miRNAs show that FmiR genes are significantly associated with metabolism process and cell cycle process, whereas MmiR genes tend to be enriched for functions like histone modification and circadian rhythm. In all, the identification and analysis of sex-biased miRNAs together could provide new insights into the biological differences between females and males and facilitate the exploration of sex-biased disease susceptibility and therapy.
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.