Ontology highlight
ABSTRACT:
SUBMITTER: Yao S
PROVIDER: S-EPMC10039800 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature
Yao Shenqin S Wang Quanxin Q Hirokawa Karla E KE Ouellette Benjamin B Ahmed Ruweida R Bomben Jasmin J Brouner Krissy K Casal Linzy L Caldejon Shiella S Cho Andy A Dotson Nadezhda I NI Daigle Tanya L TL Egdorf Tom T Enstrom Rachel R Gary Amanda A Gelfand Emily E Gorham Melissa M Griffin Fiona F Gu Hong H Hancock Nicole N Howard Robert R Kuan Leonard L Lambert Sophie S Lee Eric Kenji EK Luviano Jennifer J Mace Kyla K Maxwell Michelle M Mortrud Marty T MT Naeemi Maitham M Nayan Chelsea C Ngo Nhan-Kiet NK Nguyen Thuyanh T North Kat K Ransford Shea S Ruiz Augustin A Seid Sam S Swapp Jackie J Taormina Michael J MJ Wakeman Wayne W Zhou Thomas T Nicovich Philip R PR Williford Ali A Potekhina Lydia L McGraw Medea M Ng Lydia L Groblewski Peter A PA Tasic Bosiljka B Mihalas Stefan S Harris Julie A JA Cetin Ali A Zeng Hongkui H
Nature neuroscience 20221222 2
Identification of structural connections between neurons is a prerequisite to understanding brain function. Here we developed a pipeline to systematically map brain-wide monosynaptic input connections to genetically defined neuronal populations using an optimized rabies tracing system. We used mouse visual cortex as the exemplar system and revealed quantitative target-specific, layer-specific and cell-class-specific differences in its presynaptic connectomes. The retrograde connectivity indicate ...[more]