ReviewThe Journal of physiology2019
Evolving systems biology approaches to understanding non-coding RNAs in pulmonary hypertension.
Review in The Journal of physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 4 citations in OpenAlex.
- Evolving Schema for Employing Network Biology Approaches to Understand Pulmonary Hypertension.Advances in experimental medicine and biology · 2021Article
- Overview: pulmonary vascular function in health and disease.The Journal of physiology · 2019Article
- Systems biology in inflammatory bowel diseases: on the way to precision medicine.Annals of gastroenterologyReview
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 at 1 institution in 1 country.
Funding
Abstract
Our appreciation of the roles of non-coding RNAs, in particular microRNAs, in the manifestation of pulmonary hypertension (PH) has advanced considerably over the past decade. Comprised of small nucleotide sequences, microRNAs have demonstrated critical and broad regulatory roles in the pathogenesis of PH via the direct binding to messenger RNA transcripts for degradation or inhibition of translation, thereby exerting a profound influence on cellular activity. Yet, as inherently pleiotropic molecules, microRNAs have been difficult to study using traditional, reductionist approaches alone. With the advent of high-throughput -omics technologies and more advanced computational modelling, the study of microRNAs and their multi-faceted and complex functions in human disease serves as a fertile platform for the application of systems biology methodologies in combination with traditional experimental techniques. Here, we offer our viewpoint of past successes of systems biology in elucidating the otherwise hidden actions of microRNAs in PH, as well as areas for future development to integrate these strategies into the discovery of RNA pathobiology in this disease. We contend that such successful applications of systems biology in elucidating the functional architecture of microRNA regulation will further reveal the molecular mechanisms of disease, while simultaneously revealing potential diagnostic and therapeutic strategies in disease amelioration.
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Identifiers
What Socratic 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 Socratic graph.