TRACE: An Unbiased Method to Permanently Tag Transiently Activated Inputs

TY - JOUR

T1 - TRACE

T2 - An Unbiased Method to Permanently Tag Transiently Activated Inputs

AU - Krauth, Nathalie

AU - Khalil, Valentina

AU - Jariwala, Meet

AU - Mermet-Joret, Noemie

AU - Vestergaard, Anne Katrine

AU - Capogna, Marco

AU - Nabavi, Sadegh

PY - 2020/5

Y1 - 2020/5

N2 - A fundamental interest in circuit analysis is to parse out the synaptic inputs underlying a behavioral experience. Toward this aim, we have devised an unbiased strategy that specifically labels the afferent inputs that are activated by a defined stimulus in an activity-dependent manner. We validated this strategy in four brain circuits receiving known sensory inputs. This strategy, as demonstrated here, accurately identifies these inputs.

AB - A fundamental interest in circuit analysis is to parse out the synaptic inputs underlying a behavioral experience. Toward this aim, we have devised an unbiased strategy that specifically labels the afferent inputs that are activated by a defined stimulus in an activity-dependent manner. We validated this strategy in four brain circuits receiving known sensory inputs. This strategy, as demonstrated here, accurately identifies these inputs.

KW - innate fear

KW - mouse behavior

KW - neural circuits

KW - optogenetics

KW - viral tracing

UR - http://www.scopus.com/inward/record.url?scp=85085733649&partnerID=8YFLogxK

U2 - 10.3389/fncel.2020.00114

DO - 10.3389/fncel.2020.00114

M3 - Journal article

C2 - 32499680

AN - SCOPUS:85085733649

SN - 1662-5102

VL - 14

JO - Frontiers in Cellular Neuroscience

JF - Frontiers in Cellular Neuroscience

M1 - 114

ER -