ReviewExercise and sport sciences reviews2018
Identifying Novel Signaling Pathways: An Exercise Scientists Guide to Phosphoproteomics.
Review in Exercise and sport sciences reviews, 2018. 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
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
6 citing papers in PubMed.
- Estrogen Receptor Alpha (ERα) Is Involved in Resveratrol-Mediated Muscle Preservation During Mechanical Unloading in Male Rats.Muscles (Basel, Switzerland) · 2026Article
- Neurodevelopmental Impact of Prenatal Stress: A Proteomic Analysis of Myelination Disruptions in the Avian Embryo.Developmental neurobiology · 2025Article
- Omics Sciences in Regular Physical Activity.International journal of molecular sciences · 2025Review
- Two endogenousProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Machine learning empowers phosphoproteome prediction in cancers.Bioinformatics (Oxford, England) · 2020Article
- Profiling of human lymphocytes reveals a specific network of protein kinases modulated by endurance training status.Scientific reports · 2020Article
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.
Funding
Abstract
We propose that phosphoproteomic-based studies will radically advance our knowledge about exercise-regulated signaling events. However, these studies use cutting-edge technologies that can be difficult for nonspecialists to understand. Hence, this review is intended to help nonspecialists 1) understand the fundamental technologies behind phosphoproteomic analysis and 2) use various bioinformatic tools that can be used to interrogate phosphoproteomic datasets.
Indexed as
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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.