ArticleNucleic acids research2011
TRIP Database: a manually curated database of protein-protein interactions for mammalian TRP channels.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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Who cites it
12 citing papers in PubMed, 28 citations in OpenAlex.
- TRPC3/6 Channels Mediate Mechanical Pain Hypersensitivity via Enhancement of Nociceptor Excitability and of Spinal Synaptic Transmission.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Calcium selective channel TRPV6: Structure, function, and implications in health and disease.Gene · 2022Review
- Advances in Intracellular Calcium Signaling Reveal Untapped Targets for Cancer Therapy.Biomedicines · 2021Review
- TRP Channels Regulation of Rho GTPases in Brain Context and Diseases.Frontiers in cell and developmental biology · 2020Review
- Differences in TRPC3 and TRPC6 channels assembly in mesenteric vascular smooth muscle cells in essential hypertension.The Journal of physiology · 2017Article
- The contribution of TRPC1, TRPC3, TRPC5 and TRPC6 to touch and hearing.Neuroscience letters · 2016Article
- A network perspective on unraveling the role of TRP channels in biology and disease.Pflugers Archiv : European journal of physiology · 2014Review
- TRPs in taste and chemesthesis.Handbook of experimental pharmacology · 2014Review
- What do we know about the transient receptor potential vanilloid 2 (TRPV2) ion channel?The FEBS journal · 2013Review
- TRPC3 and TRPC6 are essential for normal mechanotransduction in subsets of sensory neurons and cochlear hair cells.Open biology · 2012Article
- A comprehensive manually curated protein-protein interaction database for the Death Domain superfamily.Nucleic acids research · 2012Article
- TRIP database 2.0: a manually curated information hub for accessing TRP channel interaction network.PloS one · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transient receptor potential (TRP) channels are a superfamily of Ca(2+)-permeable cation channels that translate cellular stimuli into electrochemical signals. Aberrant activity of TRP channels has been implicated in a variety of human diseases, such as neurological disorders, cardiovascular disease and cancer. To facilitate the understanding of the molecular network by which TRP channels are associated with biological and disease processes, we have developed the TRIP (TRansient receptor potential channel-Interacting Protein) Database (http://www.trpchannel.org), a manually curated database that aims to offer comprehensive information on protein-protein interactions (PPIs) of mammalian TRP channels. The TRIP Database was created by systematically curating 277 peer-reviewed literature; the current version documents 490 PPI pairs, 28 TRP channels and 297 cellular proteins. The TRIP Database provides a detailed summary of PPI data that fit into four categories: screening, validation, characterization and functional consequence. Users can find in-depth information specified in the literature on relevant analytical methods and experimental resources, such as gene constructs and cell/tissue types. The TRIP Database has user-friendly web interfaces with helpful features, including a search engine, an interaction map and a function for cross-referencing useful external databases. Our TRIP Database will provide a valuable tool to assist in understanding the molecular regulatory network of TRP channels.
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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.