Longitudinal in vivo imaging of perineuronal nets
Perineuronal nets (PNNs) are extracellular matrix structures implicated in learning, memory, information processing, synaptic plasticity, and neuroprotection. However, our understanding of mechanisms governing the evidently important contribution of PNNs to central nervous system function is lacking...
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Veröffentlicht in: | Neurophotonics (Print) 2023-01, Vol.10 (1), p.015008-015008 |
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creator | Benbenishty, Amit Peled-Hajaj, Shany Krishnaswamy, Venkat Raghavan Har-Gil, Hagai Havusha-Laufer, Sapir Ruggiero, Antonella Slutsky, Inna Blinder, Pablo Sagi, Irit |
description | Perineuronal nets (PNNs) are extracellular matrix structures implicated in learning, memory, information processing, synaptic plasticity, and neuroprotection. However, our understanding of mechanisms governing the evidently important contribution of PNNs to central nervous system function is lacking. A primary cause for this gap of knowledge is the absence of direct experimental tools to study their role
.
We introduce a robust approach for quantitative longitudinal imaging of PNNs in brains of awake mice at subcellular resolution.
We label PNNs
with commercially available compounds and monitor their dynamics with two-photon imaging.
Using our approach, we show that it is possible to longitudinally follow the same PNNs
while monitoring degradation and reconstitution of PNNs. We demonstrate the compatibility of our method to simultaneously monitor neuronal calcium dynamics
and compare the activity of neurons with and without PNNs.
Our approach is tailored for studying the intricate role of PNNs
, while paving the road for elucidating their role in different neuropathological conditions. |
doi_str_mv | 10.1117/1.NPh.10.1.015008 |
format | Article |
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.
We introduce a robust approach for quantitative longitudinal imaging of PNNs in brains of awake mice at subcellular resolution.
We label PNNs
with commercially available compounds and monitor their dynamics with two-photon imaging.
Using our approach, we show that it is possible to longitudinally follow the same PNNs
while monitoring degradation and reconstitution of PNNs. We demonstrate the compatibility of our method to simultaneously monitor neuronal calcium dynamics
and compare the activity of neurons with and without PNNs.
Our approach is tailored for studying the intricate role of PNNs
, while paving the road for elucidating their role in different neuropathological conditions.</description><identifier>ISSN: 2329-423X</identifier><identifier>EISSN: 2329-4248</identifier><identifier>DOI: 10.1117/1.NPh.10.1.015008</identifier><identifier>PMID: 36970015</identifier><language>eng</language><publisher>United States: Society of Photo-Optical Instrumentation Engineers</publisher><subject>Calcium signalling ; Central nervous system ; Extracellular matrix ; Information processing ; Labeling ; Lectins ; Nets ; Neuroprotection ; Perineuronal nets ; Research Papers ; Synaptic plasticity</subject><ispartof>Neurophotonics (Print), 2023-01, Vol.10 (1), p.015008-015008</ispartof><rights>The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.</rights><rights>2023 The Authors.</rights><rights>2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 The Authors 2023 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c467t-bb38cc120351849474af7273702edaf28546228f0df3c8d50846b1a6a30f5d063</citedby><cites>FETCH-LOGICAL-c467t-bb38cc120351849474af7273702edaf28546228f0df3c8d50846b1a6a30f5d063</cites><orcidid>0000-0002-4042-214X ; 0000-0003-4559-5821 ; 0000-0002-9415-729X ; 0000-0002-8456-8116</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2858380936/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2858380936?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,21388,27924,27925,33744,33745,43805,53791,53793,64385,64387,64389,72469,74302</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36970015$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Benbenishty, Amit</creatorcontrib><creatorcontrib>Peled-Hajaj, Shany</creatorcontrib><creatorcontrib>Krishnaswamy, Venkat Raghavan</creatorcontrib><creatorcontrib>Har-Gil, Hagai</creatorcontrib><creatorcontrib>Havusha-Laufer, Sapir</creatorcontrib><creatorcontrib>Ruggiero, Antonella</creatorcontrib><creatorcontrib>Slutsky, Inna</creatorcontrib><creatorcontrib>Blinder, Pablo</creatorcontrib><creatorcontrib>Sagi, Irit</creatorcontrib><title>Longitudinal in vivo imaging of perineuronal nets</title><title>Neurophotonics (Print)</title><addtitle>Neurophoton</addtitle><description>Perineuronal nets (PNNs) are extracellular matrix structures implicated in learning, memory, information processing, synaptic plasticity, and neuroprotection. However, our understanding of mechanisms governing the evidently important contribution of PNNs to central nervous system function is lacking. A primary cause for this gap of knowledge is the absence of direct experimental tools to study their role
.
We introduce a robust approach for quantitative longitudinal imaging of PNNs in brains of awake mice at subcellular resolution.
We label PNNs
with commercially available compounds and monitor their dynamics with two-photon imaging.
Using our approach, we show that it is possible to longitudinally follow the same PNNs
while monitoring degradation and reconstitution of PNNs. We demonstrate the compatibility of our method to simultaneously monitor neuronal calcium dynamics
and compare the activity of neurons with and without PNNs.
Our approach is tailored for studying the intricate role of PNNs
, while paving the road for elucidating their role in different neuropathological conditions.</description><subject>Calcium signalling</subject><subject>Central nervous system</subject><subject>Extracellular matrix</subject><subject>Information processing</subject><subject>Labeling</subject><subject>Lectins</subject><subject>Nets</subject><subject>Neuroprotection</subject><subject>Perineuronal nets</subject><subject>Research Papers</subject><subject>Synaptic plasticity</subject><issn>2329-423X</issn><issn>2329-4248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU1LxDAQhoMoKqs_wIsUvHjZOpOkTXoSEb9gUQ8K3kK2TddIN1mTdsF_b-vq-gGekpd55p0ZXkIOEFJEFCeY3t4_p4NKATMAuUF2KaPFmFMuN9d_9rRD9mN8AQCkWGTItskOywvR62yX4MS7mW27yjrdJNYlS7v0iZ3rmXWzxNfJwgTrTBf8UHemjXtkq9ZNNPuf74g8Xl48nF-PJ3dXN-dnk3HJc9GOp1MmyxIpsAwlL7jguhZUMAHUVLqmMuM5pbKGqmalrDKQPJ-izjWDOqsgZyNyuvJddNO5qUrj2qAbtQj9cuFNeW3V74qzz2rmlwoBmGCc9w7Hnw7Bv3YmtmpuY2maRjvju6ioKFBALsUw7OgP-uK70J_cUzKTTELBBgpXVBl8jMHU620Q1BCKQtWH8qHUKpS-5_DnGeuOrwh6IF0BcWHN99j_Hd8BvveUqA</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Benbenishty, Amit</creator><creator>Peled-Hajaj, Shany</creator><creator>Krishnaswamy, Venkat Raghavan</creator><creator>Har-Gil, Hagai</creator><creator>Havusha-Laufer, Sapir</creator><creator>Ruggiero, Antonella</creator><creator>Slutsky, Inna</creator><creator>Blinder, Pablo</creator><creator>Sagi, Irit</creator><general>Society of Photo-Optical Instrumentation Engineers</general><general>S P I E - International Society for</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4042-214X</orcidid><orcidid>https://orcid.org/0000-0003-4559-5821</orcidid><orcidid>https://orcid.org/0000-0002-9415-729X</orcidid><orcidid>https://orcid.org/0000-0002-8456-8116</orcidid></search><sort><creationdate>20230101</creationdate><title>Longitudinal in vivo imaging of perineuronal nets</title><author>Benbenishty, Amit ; Peled-Hajaj, Shany ; Krishnaswamy, Venkat Raghavan ; Har-Gil, Hagai ; Havusha-Laufer, Sapir ; Ruggiero, Antonella ; Slutsky, Inna ; Blinder, Pablo ; Sagi, Irit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c467t-bb38cc120351849474af7273702edaf28546228f0df3c8d50846b1a6a30f5d063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Calcium signalling</topic><topic>Central nervous system</topic><topic>Extracellular matrix</topic><topic>Information processing</topic><topic>Labeling</topic><topic>Lectins</topic><topic>Nets</topic><topic>Neuroprotection</topic><topic>Perineuronal nets</topic><topic>Research Papers</topic><topic>Synaptic plasticity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Benbenishty, Amit</creatorcontrib><creatorcontrib>Peled-Hajaj, Shany</creatorcontrib><creatorcontrib>Krishnaswamy, Venkat Raghavan</creatorcontrib><creatorcontrib>Har-Gil, Hagai</creatorcontrib><creatorcontrib>Havusha-Laufer, Sapir</creatorcontrib><creatorcontrib>Ruggiero, Antonella</creatorcontrib><creatorcontrib>Slutsky, Inna</creatorcontrib><creatorcontrib>Blinder, Pablo</creatorcontrib><creatorcontrib>Sagi, Irit</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Neurophotonics (Print)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Benbenishty, Amit</au><au>Peled-Hajaj, Shany</au><au>Krishnaswamy, Venkat Raghavan</au><au>Har-Gil, Hagai</au><au>Havusha-Laufer, Sapir</au><au>Ruggiero, Antonella</au><au>Slutsky, Inna</au><au>Blinder, Pablo</au><au>Sagi, Irit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Longitudinal in vivo imaging of perineuronal nets</atitle><jtitle>Neurophotonics (Print)</jtitle><addtitle>Neurophoton</addtitle><date>2023-01-01</date><risdate>2023</risdate><volume>10</volume><issue>1</issue><spage>015008</spage><epage>015008</epage><pages>015008-015008</pages><issn>2329-423X</issn><eissn>2329-4248</eissn><abstract>Perineuronal nets (PNNs) are extracellular matrix structures implicated in learning, memory, information processing, synaptic plasticity, and neuroprotection. However, our understanding of mechanisms governing the evidently important contribution of PNNs to central nervous system function is lacking. A primary cause for this gap of knowledge is the absence of direct experimental tools to study their role
.
We introduce a robust approach for quantitative longitudinal imaging of PNNs in brains of awake mice at subcellular resolution.
We label PNNs
with commercially available compounds and monitor their dynamics with two-photon imaging.
Using our approach, we show that it is possible to longitudinally follow the same PNNs
while monitoring degradation and reconstitution of PNNs. We demonstrate the compatibility of our method to simultaneously monitor neuronal calcium dynamics
and compare the activity of neurons with and without PNNs.
Our approach is tailored for studying the intricate role of PNNs
, while paving the road for elucidating their role in different neuropathological conditions.</abstract><cop>United States</cop><pub>Society of Photo-Optical Instrumentation Engineers</pub><pmid>36970015</pmid><doi>10.1117/1.NPh.10.1.015008</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-4042-214X</orcidid><orcidid>https://orcid.org/0000-0003-4559-5821</orcidid><orcidid>https://orcid.org/0000-0002-9415-729X</orcidid><orcidid>https://orcid.org/0000-0002-8456-8116</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Calcium signalling Central nervous system Extracellular matrix Information processing Labeling Lectins Nets Neuroprotection Perineuronal nets Research Papers Synaptic plasticity |
title | Longitudinal in vivo imaging of perineuronal nets |
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