Based on my analysis of the model and relevant research, here is my review of GO-CAM model gomodel:66b5638000002528:
GO-CAM Model Review: "GRIM1 activates GRID1 via GNAQ in dopamine neurons (Mouse)"¶
Overview¶
This GO-CAM model describes a signaling pathway in which GRIM1 (metabotropic glutamate receptor 1, GRM1/Grm1) activates GRID1 via GNAQ (Gq) in dopamine neurons in mouse. The model shows how dopamine neurons employ a metabotropic glutamate receptor signaling pathway to regulate glutamate receptor delta-1 channel activity.
Model Components¶
The model contains four main activities: 1. MGI:MGI:1351338 (Grm1) with GO:0099530 (G protein-coupled receptor activity involved in regulation of postsynaptic membrane potential) 2. MGI:MGI:95776 (Gnaq) with GO:0003925 (G protein activity) 3. MGI:MGI:104778 (Plcb3) with GO:0004435 (phosphatidylinositol phospholipase C activity) 4. MGI:MGI:97597 (Prkcg) with GO:0004698 (calcium,diacylglycerol-dependent serine/threonine kinase activity) 5. MGI:MGI:95812 (Grid1) with GO:1904315 (transmitter-gated monoatomic ion channel activity involved in regulation of postsynaptic membrane potential)
Strengths¶
- The model accurately represents the molecular function and causal relationships between key signaling components based on recent literature.
- The cellular components are correctly annotated, with most activities occurring in the postsynaptic compartment.
- The causal relationships follow the canonical signaling pathway from GPCR activation to channel opening.
- The model is grounded in evidence from multiple published studies, with each relationship having supporting evidence.
Areas for Improvement¶
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Inconsistent cellular localization: While the model specifies postsynaptic cytosol (GO:0099524) for most components, it would be more accurate to place GRID1 in the postsynaptic density membrane (GO:0098839) where it functions, which is noted for some activities but not all.
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Biological process annotation: The model shows Grm1 and Gnaq being part of GO:0007200 (phospholipase C-activating G protein-coupled receptor signaling pathway), which is appropriate. However, Grid1 is annotated as part of GO:0099538 (synaptic signaling via neuropeptide), which doesn't seem as precise as possible for this pathway. A term more related to glutamatergic signaling would be more appropriate.
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Input-output relationships: The model shows outputs from Plcb3 activity (CHEBI:203600 - inositol triphosphate and CHEBI:17815 - diacylglycerol), but doesn't explicitly connect these outputs as inputs to the downstream Prkcg (PKC) activity, which would improve the model connectivity.
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Missing intermediates: The research suggests that additional components might be involved in complex formation (such as TRPC3), but these are not represented in the model.
Scientific Accuracy¶
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Signaling pathway: The model correctly represents the G protein-coupled receptor mGluR1 (Grm1) activating Gq (Gnaq), which activates PLC-beta3 (Plcb3), leading to PKC-gamma (Prkcg) activation and ultimately the regulation of the GluD1 (Grid1) channel.
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Causal relationships: The model accurately represents directionality using appropriate predicates. The causal flow from Grm1 → Gnaq → Plcb3 → Prkcg → Grid1 is supported by the literature, particularly the papers by Dadak et al. (2016) and Ady et al. (2014).
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Localization: The model correctly places these interactions in the postsynaptic compartment of dopamine neurons, which aligns with the expression patterns described in the literature.
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Evidence: The model appropriately cites primary literature for each relationship, including PMID:27276689, PMID:28696429, and PMID:23115168.
Recommendations¶
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Update cellular location for GRID1: Ensure consistency in cellular annotations for GRID1, which should be in the postsynaptic density membrane (GO:0098839).
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Add second messenger relationships: The model could explicitly show how the second messengers (IP3 and DAG) connect to PKC activation.
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Consider adding TRPC3: Based on the literature (PMID:23115168), TRPC3 appears to be part of the complex with mGluR1 and GluD1. Including this protein would enhance the model's completeness.
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Revise biological process annotation for GRID1: Consider replacing GO:0099538 (synaptic signaling via neuropeptide) with a more appropriate term related to glutamate signaling.
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Add specific phosphorylation targets: If the literature supports it, the model could be enhanced by specifying the phosphorylation targets of PKC on GRID1.
Conclusion¶
This GO-CAM model effectively captures the G protein-coupled receptor signaling pathway by which mGluR1 activates GluD1 channels in dopamine neurons, a pathway that appears important for neuronal firing patterns. The model is scientifically sound and well-supported by evidence. With the suggested minor improvements, it would provide an even more comprehensive representation of this signaling pathway that plays an important role in dopamine neuron function and potentially in disorders like schizophrenia, where GRID1 mutations have been implicated.