ArticleMethods in molecular biology (Clifton, N.J.)2021
Analysis of microRNA Regulation in Single Cells.
Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Enhanced MiRISC expression noise reduction by self-feedback regulation of mRNA degradation.Computational and structural biotechnology journal · 2026Article
- Investigating Gene Expression Noise Reduction by MicroRNAs and MiRISC Reinforcement by Self-Feedback Regulation of mRNA Degradation.bioRxiv : the preprint server for biology · 2025Article
- AAAGUGC Seed-Containing miRNAs: Master Regulators of Cancer Pathways and Therapeutic Resistance.MicroRNA (Shariqah, United Arab Emirates) · 2025Review
- Sex-biased gene and microRNA expression in the developing mouse brain is associated with neurodevelopmental functions and neurological phenotypes.Biology of sex differences · 2023Article
- The long and short: Non-coding RNAs in the mammalian inner ear.Hearing research · 2023Review
- The Role of MicroRNAs in Mitochondria-Mediated Eye Diseases.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) regulate gene expression by binding to mRNAs. Consequently, they reduce target gene expression levels and expression variability, also known as "noise." Single-cell RNA sequencing (scRNA-seq) technology has been used to study miRNA and mRNA expression in single cells, and has demonstrated its strength in quantifying cell-to-cell variation. Here we describe how to investigate miRNA regulation using data with both mRNA and miRNA expression in single cell format. We show that miRNAs reduce the expression levels and also expression noise of target genes in single cells. Finally, we also discuss potential improvements in experimental design and computational analysis of scRNA-seq in order to reduce or partition the technical noise.
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Identifiers
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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.