ArticleMolecular systems biology2018
Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction.
Article in Molecular systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Brain microRNAs are associated with variation in cognitive trajectory in advanced age.Translational psychiatry · 2022Pooled it
- Role of microRNAs in the pathophysiology of addiction.Wiley interdisciplinary reviews. RNA · 2021Pooled it
- Landscape of microRNA and target expression variation and covariation in single mouse embryonic stem cells.Genome research · 2026Article
- Inferring single-cell and spatial microRNA activity from transcriptomics data.Communications biology · 2025Article
- Article
- miRSCAPE - inferring miRNA expression from scRNA-seq data.iScience · 2022Article
- EIF4A3-regulated circ_0087429 can reverse EMT and inhibit the progression of cervical cancer via miR-5003-3p-dependent upregulation of OGN expression.Journal of experimental & clinical cancer research : CR · 2022Article
- Integrated analysis of expression profiles with meat quality traits in cattle.Scientific reports · 2022Article
- Network Approaches to Study Endogenous RNA Competition and Its Impact on Tissue-Specific microRNA Functions.Biomolecules · 2022Review
- Prognostic Roles of ceRNA Network-Based Signatures in Gastrointestinal Cancers.Frontiers in oncology · 2022Review
- Nuclear gene proximity and protein interactions shape transcript covariations in mammalian single cells.Nature communications · 2020Article
- microRNA-mediated noise processing in cells: A fight or a game?Computational and structural biotechnology journal · 2020Review
- Methamphetamine Enhances HIV-1 Replication in CD4Frontiers in immunology · 2020Article
- Review
- Competing endogenous RNA crosstalk at system level.PLoS computational biology · 2019Article
- Large-scale inference of competing endogenous RNA networks with sparse partial correlation.Bioinformatics (Oxford, England) · 2019Article
- Long non-coding RNA FLJ33360 participates in ovarian cancer progression by sponging miR-30b-3p.OncoTargets and therapy · 2019Article
- Single-Cell RNA Sequencing-Based Computational Analysis to Describe Disease Heterogeneity.Frontiers in genetics · 2019Article
- Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction.Molecular systems biology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
miRNAs are small RNAs that regulate gene expression post-transcriptionally. By repressing the translation and promoting the degradation of target mRNAs, miRNAs may reduce the cell-to-cell variability in protein expression, induce correlations between target expression levels, and provide a layer through which targets can influence each other's expression as "competing RNAs" (ceRNAs). However, experimental evidence for these behaviors is limited. Combining mathematical modeling with RNA sequencing of individual human embryonic kidney cells in which the expression of two distinct miRNAs was induced over a wide range, we have inferred parameters describing the response of hundreds of miRNA targets to miRNA induction. Individual targets have widely different response dynamics, and only a small proportion of predicted targets exhibit high sensitivity to miRNA induction. Our data reveal for the first time the response parameters of the entire network of endogenous miRNA targets to miRNA induction, demonstrating that miRNAs correlate target expression and at the same time increase the variability in expression of individual targets across cells. The approach is generalizable to other miRNAs and post-transcriptional regulators to improve the understanding of gene expression dynamics in individual cell types.
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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.