ReviewProteomes2018
From Synapse to Function: A Perspective on the Role of Neuroproteomics in Elucidating Mechanisms of Drug Addiction.
Review in Proteomes, 2018. 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, 22 citations in OpenAlex.
- N6-methyladenosine RNA methylation is a novel epitranscriptomic regulator of excessive alcohol drinking and vulnerability to relapse.bioRxiv : the preprint server for biology · 2025Article
- "Unraveling the role ofReceptors (Basel, Switzerland) · 2025Article
- Decoding cocaine-induced proteomic adaptations in the mouse nucleus accumbens.Science signaling · 2024Article
- Learning to become addicted, one synapse at a time.Neural regeneration research · 2024Article
- Cell-Type-Specific Neuroproteomics of Synapses.Biomolecules · 2023Review
- Circular RNA regulation and function in drug seeking phenotypes.Molecular and cellular neurosciences · 2023Review
- Article
- Transcription factor Acj6 controls dendrite targeting via a combinatorial cell-surface code.Neuron · 2022Article
- Mass Spectrometry Approaches Empowering Neuropeptide Discovery and Therapeutics.Pharmacological reviews · 2022Review
- Neuroproteomics of the Synapse: Subcellular Quantification of Protein Networks and Signaling Dynamics.Molecular & cellular proteomics : MCP · 2021Review
- The proteome and its dynamics: A missing piece for integrative multi-omics in schizophrenia.Schizophrenia research · 2020Article
- Article
- Editorial for Special Issue: Neuroproteomics.Proteomes · 2019Article
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 at 2 institutions in 1 country.
Funding
Abstract
Drug addiction is a complex disorder driven by dysregulation in molecular signaling across several different brain regions. Limited therapeutic options currently exist for treating drug addiction and related psychiatric disorders in clinical populations, largely due to our incomplete understanding of the molecular pathways that influence addiction pathology. Recent work provides strong evidence that addiction-related behaviors emerge from the convergence of many subtle changes in molecular signaling networks that include neuropeptides (neuropeptidome), protein-protein interactions (interactome) and post-translational modifications such as protein phosphorylation (phosphoproteome). Advancements in mass spectrometry methodology are well positioned to identify these novel molecular underpinnings of addiction and further translate these findings into druggable targets for therapeutic development. In this review, we provide a general perspective of the utility of novel mass spectrometry-based approaches for addressing critical questions in addiction neuroscience, highlighting recent innovative studies that exemplify how functional assessments of the neuroproteome can provide insight into the mechanisms of drug addiction.
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.