ReviewProteomics2013
Proteomics for understanding miRNA biology.
Review in Proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 26 citations in OpenAlex.
- The miRNA-target interactions: An underestimated intricacy.Nucleic acids research · 2024Review
- The Effect of microRNA on the Production of Recombinant Protein in CHO Cells and its Mechanism.Frontiers in bioengineering and biotechnology · 2022Review
- Promotion of BZW2 by LINC00174 through miR-4500 inhibition enhances proliferation and apoptosis evasion in laryngeal papilloma.Cancer cell international · 2020Article
- miR-1305 Inhibits The Progression Of Non-Small Cell Lung Cancer By Regulating MDM2.Cancer management and research · 2019Article
- Unraveling the determinants of microRNA mediated regulation using a massively parallel reporter assay.Nature communications · 2018Article
- The omic approach to parasitic trematode research-a review of techniques and developments within the past 5 years.Parasitology research · 2016Review
- microRNA-802/Rnd3 pathway imposes on carcinogenesis and metastasis of fine particulate matter exposure.Oncotarget · 2016Article
- Integrated microRNA, mRNA, and protein expression profiling reveals microRNA regulatory networks in rat kidney treated with a carcinogenic dose of aristolochic acid.BMC genomics · 2015Article
- Utilising proteomic approaches to understand oncogenic human herpesviruses (Review).Molecular and clinical oncology · 2014Article
- Proteomic approaches and identification of novel therapeutic targets for alcoholism.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014Review
- Article
- Integration of miRNA and protein profiling reveals coordinated neuroadaptations in the alcohol-dependent mouse brain.PloS one · 2013Article
- Cell survival following radiation exposure requires miR-525-3p mediated suppression of ARRB1 and TXN1.PloS one · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
MicroRNAs (miRNAs) are small noncoding RNAs that play important roles in posttranscriptional regulation of gene expression. Mature miRNAs associate with the RNA interference silencing complex to repress mRNA translation and/or degrade mRNA transcripts. Mass spectrometry-based proteomics has enabled identification of several core components of the canonical miRNA processing pathway and their posttranslational modifications which are pivotal in miRNA regulatory mechanisms. The use of quantitative proteomic strategies has also emerged as a key technique for experimental identification of miRNA targets by allowing direct determination of proteins whose levels are altered because of translational suppression. This review focuses on the role of proteomics and labeling strategies to understand miRNA biology.
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.