ArticleFrontiers in physiology2013
Developing microRNA screening as a functional genomics tool for disease research.
Article in Frontiers in physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 22 citations in OpenAlex.
- hsa-miR-548v controls the viscoelastic properties of human cardiomyocytes and improves their relaxation rates.JCI insight · 2024Article
- Functional screenings reveal different requirements for host microRNAs in Salmonella and Shigella infection.Nature microbiology · 2020Article
- Biomimicking Fiber Scaffold as an Effective In Vitro and In Vivo MicroRNA Screening Platform for Directing Tissue Regeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- The therapeutic landscape of HIV-1 via genome editing.AIDS research and therapy · 2017Review
- Phenotypic screening with primary neurons to identify drug targets for regeneration and degeneration.Molecular and cellular neurosciences · 2017Review
- Exploring pericyte and cardiac stem cell secretome unveils new tactics for drug discovery.Pharmacology & therapeutics · 2017Review
- Neurobehavioral Alterations in a Genetic Murine Model of Feingold Syndrome 2.Behavior genetics · 2015Article
- A Large-Scale Analysis of Genetic Variants within Putative miRNA Binding Sites in Prostate Cancer.Cancer discovery · 2015Article
- Article
- Systems biology approaches to understanding the cause and treatment of heart, lung, blood, and sleep disorders.Frontiers in physiology · 2014Article
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 at 2 institutions in 1 country.
Funding
Abstract
Originally discovered as regulators of developmental timing in C. elegans, microRNAs (miRNAs) have emerged as modulators of nearly every cellular process, from normal development to pathogenesis. With the advent of whole genome libraries of miRNA mimics suitable for high throughput screening, it is possible to comprehensively evaluate the function of each member of the miRNAome in cell-based assays. Since the relatively few microRNAs in the genome are thought to directly regulate a large portion of the proteome, miRNAome screening, coupled with the identification of the regulated proteins, might be a powerful new approach to gaining insight into complex biological processes.
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.