<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Glausier JR</submitter><funding>NIEHS NIH HHS</funding><funding>NIMH NIH HHS</funding><funding>NIAAA NIH HHS</funding><pubmed_abstract>Synaptic function is directly reflected in quantifiable ultrastructural features using electron microscopy (EM) approaches. This coupling of synaptic function and ultrastructure suggests that &lt;i>in vivo&lt;/i> synaptic function can be inferred from EM analysis of &lt;i>ex vivo&lt;/i> human brain tissue. To investigate this, we employed focused ion beam-scanning electron microscopy (FIB-SEM), a volume EM (VEM) approach, to generate ultrafine-resolution, three-dimensional (3D) micrographic datasets of postmortem human dorsolateral prefrontal cortex (DLPFC), a region with cytoarchitectonic characteristics distinct to human brain. Synaptic, sub-synaptic, and organelle measures were highly consistent with findings from experimental models that are free from antemortem or postmortem effects. Further, 3D neuropil reconstruction revealed a unique, ultrastructurally-complex, spiny dendritic shaft that exhibited features characteristic of heightened synaptic communication, integration, and plasticity. Altogether, our findings provide critical proof-of-concept data demonstrating that &lt;i>ex vivo&lt;/i> VEM analysis is an effective approach to infer &lt;i>in vivo&lt;/i> synaptic functioning in human brain.</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2024.02.26.582174</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10925168</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Volume electron microscopy reveals 3D synaptic nanoarchitecture in postmortem human prefrontal cortex.</pubmed_title><pmcid>PMC10925168</pmcid><funding_grant_id>R21 AA028800</funding_grant_id><funding_grant_id>R01 ES034037</funding_grant_id><funding_grant_id>S10 MH133575</funding_grant_id><funding_grant_id>R01 MH132544</funding_grant_id><pubmed_authors>Banks-Tibbs T</pubmed_authors><pubmed_authors>Wu K</pubmed_authors><pubmed_authors>Glausier JR</pubmed_authors><pubmed_authors>Maier M</pubmed_authors><pubmed_authors>Freyberg Z</pubmed_authors><pubmed_authors>Melchitzky D</pubmed_authors><pubmed_authors>Bouchet-Marquis C</pubmed_authors><pubmed_authors>Ning J</pubmed_authors><pubmed_authors>Lewis DA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Volume electron microscopy reveals 3D synaptic nanoarchitecture in postmortem human prefrontal cortex.</name><description>Synaptic function is directly reflected in quantifiable ultrastructural features using electron microscopy (EM) approaches. This coupling of synaptic function and ultrastructure suggests that &lt;i>in vivo&lt;/i> synaptic function can be inferred from EM analysis of &lt;i>ex vivo&lt;/i> human brain tissue. To investigate this, we employed focused ion beam-scanning electron microscopy (FIB-SEM), a volume EM (VEM) approach, to generate ultrafine-resolution, three-dimensional (3D) micrographic datasets of postmortem human dorsolateral prefrontal cortex (DLPFC), a region with cytoarchitectonic characteristics distinct to human brain. Synaptic, sub-synaptic, and organelle measures were highly consistent with findings from experimental models that are free from antemortem or postmortem effects. Further, 3D neuropil reconstruction revealed a unique, ultrastructurally-complex, spiny dendritic shaft that exhibited features characteristic of heightened synaptic communication, integration, and plasticity. Altogether, our findings provide critical proof-of-concept data demonstrating that &lt;i>ex vivo&lt;/i> VEM analysis is an effective approach to infer &lt;i>in vivo&lt;/i> synaptic functioning in human brain.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Sep</publication><modification>2026-04-08T19:54:38.342Z</modification><creation>2026-04-08T14:34:24.247Z</creation></dates><accession>S-EPMC10925168</accession><cross_references><pubmed>38463986</pubmed><doi>10.1101/2024.02.26.582174</doi></cross_references></HashMap>