Show simple item record

dc.contributor.authorShen, Fred Y
dc.contributor.authorHarrington, Margaret M
dc.contributor.authorWalker, Logan A
dc.contributor.authorCheng, Hon Pong Jimmy
dc.contributor.authorBoyden, Edward S
dc.contributor.authorCai, Dawen
dc.date.accessioned2021-10-27T20:23:26Z
dc.date.available2021-10-27T20:23:26Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/135429
dc.description.abstract© 2020, The Author(s). Mapping neuroanatomy is a foundational goal towards understanding brain function. Electron microscopy (EM) has been the gold standard for connectivity analysis because nanoscale resolution is necessary to unambiguously resolve synapses. However, molecular information that specifies cell types is often lost in EM reconstructions. To address this, we devise a light microscopy approach for connectivity analysis of defined cell types called spectral connectomics. We combine multicolor labeling (Brainbow) of neurons with multi-round immunostaining Expansion Microscopy (miriEx) to simultaneously interrogate morphology, molecular markers, and connectivity in the same brain section. We apply this strategy to directly link inhibitory neuron cell types with their morphologies. Furthermore, we show that correlative Brainbow and endogenous synaptic machinery immunostaining can define putative synaptic connections between neurons, as well as map putative inhibitory and excitatory inputs. We envision that spectral connectomics can be applied routinely in neurobiology labs to gain insights into normal and pathophysiological neuroanatomy.
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.relation.isversionof10.1038/S41467-020-18422-8
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceNature
dc.titleLight microscopy based approach for mapping connectivity with molecular specificity
dc.typeArticle
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentHoward Hughes Medical Institute
dc.relation.journalNature Communications
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-03-23T17:20:35Z
dspace.orderedauthorsShen, FY; Harrington, MM; Walker, LA; Cheng, HPJ; Boyden, ES; Cai, D
dspace.date.submission2021-03-23T17:20:37Z
mit.journal.volume11
mit.journal.issue1
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record