Neuroproteomics of the Synapse: Subcellular Quantification of Protein Networks and Signaling Dynamics

Gelder, Charlotte A. G. H. van; Altelaar, Maarten

doi:10.1016/j.mcpro.2021.100087

Cited by 8 publications

(5 citation statements)

References 163 publications

(130 reference statements)

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“…As we all know, changes in the number and structure of the synapse can cause changes in synaptic plasticity, thereby affect learning and memory [ 36 ]. In the present study, structural accommodations and functional adjustments of hippocampal neurons are almost the same, while the morphological results show that fullerenol can increase the number of dendritic spines and PSD In addition, the level of PSD95 protein in hippocampal CA1 areas, as an important component of PSD, has also confirmed this result.…”

Section: Discussionmentioning

confidence: 99%

Long-term maintenance of synaptic plasticity by Fullerenol Ameliorates lead-induced-impaired learning and memory in vivo

et al. 2022

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Fullerenol, a functional and water-soluble fullerene derivative, plays an important role in antioxidant, antitumor and antivirus, implying its enormous potential in biomedical applications. However, the in vivo performance of fullerenol remains largely unclear. We aimed to investigate the effect of fullerenol (i.p., 5 mg/kg) on the impaired hippocampus in a rat model of lead exposure. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF–MS) is a kind of newly developed soft-ionization mass spectrometry technology. In the present study, an innovative strategy for biological distribution analysis using MALDI-TOF–MS confirmed that fullerenol could across the blood–brain barrier and accumulate in the brain. Results from behavioral tests showed that a low dose of fullerenol could improve the impaired learning and memory induced by lead. Furthermore, electrophysiology examinations indicated that this potential repair effect of fullerenol was mainly due to the long-term changes in hippocampal synaptic plasticity, with enhancement lasting for more than 2–3 h. In addition, morphological observations and biochemistry analyses manifested that the long-term change in synaptic efficacy was accompanied by some structural alteration in synaptic connection. Our study demonstrates the therapeutic feature of fullerenol will be beneficial to the discovery and development as a new drug and lays a solid foundation for further biomedical applications of nanomedicines.

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Section: Discussionmentioning

confidence: 99%

Long-term maintenance of synaptic plasticity by Fullerenol Ameliorates lead-induced-impaired learning and memory in vivo

et al. 2022

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“…Proteins exert biological functions through interactions with other proteins [48]. Through the PPI network, we identified the proteins with the highest degree of connectivity within the network as hub proteins.…”

Section: R E T R a C T E Dmentioning

confidence: 99%

Proteomics Reveals Molecular Changes in Insomnia Patients with More Dreams

Liu

Zhang

Wang

et al. 2022

Computational and Mathematical Methods in Medicine

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Background. Insomnia is a sleep disorder and the cause of many healthy problems. However, there are few studies on patients with insomnia and dreaminess at present. Therefore, this study is aimed at exploring the pathological molecular mechanisms and potential diagnostic and therapeutic targets related to insomnia patients with more dreams. Methods. Sleep characteristics of 36 primary insomnia patients with more dreams and 36 well sleeping participants were assessed using polysomnography (PSG) and Pittsburgh Sleep Quality Index (PSQI). Serum samples from 9 insomnia patients and 9 controls were randomly selected for proteomic detection. Differentially expressed proteins (DEPs) between the two groups were identified; enrichment analysis and PPI network were performed. The top 10 most connected proteins in the PPI network were subjected to targeted drug prediction and screened key proteins. Proteins with targeted drugs were recognized as key proteins and subjected to ELISA detection. Results. Insomnia patients had a distinct REM behavior disorder signature compared with controls. Proteomic sequencing identified 76 DEPs. Enrichment analysis found that DEPs were significantly enriched in the complement and coagulation cascades. Metabolic responses were also activated in insomnia patients. Among the hub proteins screened in the PPI network, APOA1, APOB, F2, and SPARC may be targeted by many herbal medicines and considered as key proteins. ELISA assays validated their differential expression between insomnia and controls. Conclusion. In this study, we identified the potential key proteins of insomnia patients with more dreams. The pathological process may associate with inflammation and metabolic response. These results provide molecular targets for diagnostic and therapeutic targets. The results of our analysis suggest that the expression changes of key proteins have a good predictive diagnostic role for the occurrence of insomnia with more dreams in patients.

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“…It covered 8087 unique genes and 407,643 direct protein interactions [18]. Overall, MSbased synaptic neuroproteomic studies have significantly expanded our understanding of synapses not only in normal brain function but also in the pathophysiology of CNS disorders [19], especially based on the unbiased nature of these approaches [20][21][22][23]. However, there are several limitations to these studies.…”

Section: Introductionmentioning

confidence: 99%

Cell-type-specific neuroproteomics of synapses

Yim¹,

Nestler²

2023

Preprint

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In the last two decades, our knowledge of synaptic proteomes and their relationship to normal brain function and neuropsychiatric disorders has been expanding rapidly through the use of more powerful neuroproteomic approaches. However, mass spectrometry (MS) based neuroproteomic studies of synapses still need cell-type, spatial, and temporal proteome information. With the advancement of sample preparation and MS techniques, we have just begun to identify and understand proteomes within a given cell type, subcellular compartment, and cell-type-specific synapse. Here, we review the progress and limitations of MS-based neuroproteomics of synapses in the mammalian CNS and highlight the recent applications of these approaches in studying neuropsychiatric disorders such as major depressive disorder and substance use disorders. Combining neuroproteomic findings with other omics studies can generate an in-depth, comprehensive map of synaptic proteomes and possibly identify new therapeutic targets and biomarkers of several central nervous system disorders.

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Neuroproteomics of the Synapse: Subcellular Quantification of Protein Networks and Signaling Dynamics

Cited by 8 publications

References 163 publications

Long-term maintenance of synaptic plasticity by Fullerenol Ameliorates lead-induced-impaired learning and memory in vivo

Long-term maintenance of synaptic plasticity by Fullerenol Ameliorates lead-induced-impaired learning and memory in vivo

Proteomics Reveals Molecular Changes in Insomnia Patients with More Dreams

Cell-type-specific neuroproteomics of synapses

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