ReviewProteomics2015
A visual review of the interactome of LRRK2: Using deep-curated molecular interaction data to represent biology.
Review in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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
22 citing papers in PubMed.
- Mining Alzheimer's Interactomes, Macromolecular Complexes and Pathways for Drug Discovery.Proteomics · 2025Review
- Tissue specific LRRK2 interactomes reveal a distinct striatal functional unit.PLoS computational biology · 2023Article
- LRRK2 and Proteostasis in Parkinson's Disease.International journal of molecular sciences · 2022Review
- In silico comparative analysis of LRRK2 interactomes from brain, kidney and lung.Brain research · 2021Article
- Metabolic networks of the Nicotiana genus in the spotlight: content, progress and outlook.Briefings in bioinformatics · 2021Article
- Tian-Huang Formula, a Traditional Chinese Medicinal Prescription, Improves Hepatosteatosis and Glucose Intolerance Targeting AKT-SREBP Nexus in Diet-Induced Obese Rats.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Towards a unified open access dataset of molecular interactions.Nature communications · 2020Review
- Article
- A Coordinated Approach by Public Domain Bioinformatics Resources to Aid the Fight Against Alzheimer's Disease Through Expert Curation of Key Protein Targets.Journal of Alzheimer's disease : JAD · 2020Article
- Guilt-by-Association - Functional Insights Gained From Studying the LRRK2 Interactome.Frontiers in neuroscience · 2020Review
- LRRK2 Phosphorylation, More Than an Epiphenomenon.Frontiers in neuroscience · 2020Review
- Inhibitory role of peroxiredoxin 2 in LRRK2 kinase activity induced cellular pathogenesis.Journal of biomedical research · 2019Article
- Rab GTPases as Physiological Substrates of LRRK2 Kinase.Experimental neurobiology · 2019Review
- The Parkinson's disease-linked Leucine-rich repeat kinase 2 (LRRK2) is required for insulin-stimulated translocation of GLUT4.Scientific reports · 2019Article
- Comparative Protein Interaction Network Analysis Identifies Shared and Distinct Functions for the Human ROCO Proteins.Proteomics · 2018Article
- The yeast noncoding RNA interaction network.RNA (New York, N.Y.) · 2017Article
- Building Graphs To Describe Dynamics, Kinetics, and Energetics in the d-ALa:d-Lac Ligase VanA.Journal of chemical information and modeling · 2016Article
- Structure, function, and leucine-rich repeat kinase 2: On the importance of reproducibility in understanding Parkinson's disease.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Using the Gene Ontology to Annotate Key Players in Parkinson's Disease.Neuroinformatics · 2016Article
- Cellular processes associated with LRRK2 function and dysfunction.The FEBS journal · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Molecular interaction databases are essential resources that enable access to a wealth of information on associations between proteins and other biomolecules. Network graphs generated from these data provide an understanding of the relationships between different proteins in the cell, and network analysis has become a widespread tool supporting -omics analysis. Meaningfully representing this information remains far from trivial and different databases strive to provide users with detailed records capturing the experimental details behind each piece of interaction evidence. A targeted curation approach is necessary to transfer published data generated by primarily low-throughput techniques into interaction databases. In this review we present an example highlighting the value of both targeted curation and the subsequent effective visualization of detailed features of manually curated interaction information. We have curated interactions involving LRRK2, a protein of largely unknown function linked to familial forms of Parkinson's disease, and hosted the data in the IntAct database. This LRRK2-specific dataset was then used to produce different visualization examples highlighting different aspects of the data: the level of confidence in the interaction based on orthogonal evidence, those interactions found under close-to-native conditions, and the enzyme-substrate relationships in different in vitro enzymatic assays. Finally, pathway annotation taken from the Reactome database was overlaid on top of interaction networks to bring biological functional context to interaction maps.
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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.