{"title":"指定小白蛋白中间神经元神经支配特性和可塑性的分子程序","authors":"Zeynep Okur, Peter Scheiffele","doi":"10.1016/j.conb.2025.103060","DOIUrl":null,"url":null,"abstract":"<div><div>Parvalbumin-positive (PV) interneurons, a class of fast-spiking GABAergic interneurons, govern gain-control and the timing of neuronal signal propagation in neuronal circuits. With remarkable temporal precision, PV-interneurons rapidly transform an excitatory input signal into a strong inhibitory output. In cortical circuits, this provides critical feedforward and feedback inhibition. Given their important roles and unique functional features in instructing neuronal circuit function, PV-interneurons have served as an excellent model system for uncovering molecular mechanisms underlying the specification of neuronal synapse properties. Moreover, studies on PV-interneurons led to the discovery of novel mechanisms of neuronal plasticity as PV-networks rapidly adapt their connectivity in response to changes in sensory experience and during learning processes. In this review, we will integrate recent work on the distinct synaptic protein complexes that instruct glutamatergic synapse formation onto PV-interneurons and discuss transcriptional programs that dynamically adjust PV-interneuron function.</div></div>","PeriodicalId":10999,"journal":{"name":"Current Opinion in Neurobiology","volume":"93 ","pages":"Article 103060"},"PeriodicalIF":4.8000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular programs specifying properties and plasticity of parvalbumin interneuron innervation\",\"authors\":\"Zeynep Okur, Peter Scheiffele\",\"doi\":\"10.1016/j.conb.2025.103060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Parvalbumin-positive (PV) interneurons, a class of fast-spiking GABAergic interneurons, govern gain-control and the timing of neuronal signal propagation in neuronal circuits. With remarkable temporal precision, PV-interneurons rapidly transform an excitatory input signal into a strong inhibitory output. In cortical circuits, this provides critical feedforward and feedback inhibition. Given their important roles and unique functional features in instructing neuronal circuit function, PV-interneurons have served as an excellent model system for uncovering molecular mechanisms underlying the specification of neuronal synapse properties. Moreover, studies on PV-interneurons led to the discovery of novel mechanisms of neuronal plasticity as PV-networks rapidly adapt their connectivity in response to changes in sensory experience and during learning processes. In this review, we will integrate recent work on the distinct synaptic protein complexes that instruct glutamatergic synapse formation onto PV-interneurons and discuss transcriptional programs that dynamically adjust PV-interneuron function.</div></div>\",\"PeriodicalId\":10999,\"journal\":{\"name\":\"Current Opinion in Neurobiology\",\"volume\":\"93 \",\"pages\":\"Article 103060\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Neurobiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0959438825000911\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Neurobiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959438825000911","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Molecular programs specifying properties and plasticity of parvalbumin interneuron innervation
Parvalbumin-positive (PV) interneurons, a class of fast-spiking GABAergic interneurons, govern gain-control and the timing of neuronal signal propagation in neuronal circuits. With remarkable temporal precision, PV-interneurons rapidly transform an excitatory input signal into a strong inhibitory output. In cortical circuits, this provides critical feedforward and feedback inhibition. Given their important roles and unique functional features in instructing neuronal circuit function, PV-interneurons have served as an excellent model system for uncovering molecular mechanisms underlying the specification of neuronal synapse properties. Moreover, studies on PV-interneurons led to the discovery of novel mechanisms of neuronal plasticity as PV-networks rapidly adapt their connectivity in response to changes in sensory experience and during learning processes. In this review, we will integrate recent work on the distinct synaptic protein complexes that instruct glutamatergic synapse formation onto PV-interneurons and discuss transcriptional programs that dynamically adjust PV-interneuron function.
期刊介绍:
Current Opinion in Neurobiology publishes short annotated reviews by leading experts on recent developments in the field of neurobiology. These experts write short reviews describing recent discoveries in this field (in the past 2-5 years), as well as highlighting select individual papers of particular significance.
The journal is thus an important resource allowing researchers and educators to quickly gain an overview and rich understanding of complex and current issues in the field of Neurobiology. The journal takes a unique and valuable approach in focusing each special issue around a topic of scientific and/or societal interest, and then bringing together leading international experts studying that topic, embracing diverse methodologies and perspectives.
Journal Content: The journal consists of 6 issues per year, covering 8 recurring topics every other year in the following categories:
-Neurobiology of Disease-
Neurobiology of Behavior-
Cellular Neuroscience-
Systems Neuroscience-
Developmental Neuroscience-
Neurobiology of Learning and Plasticity-
Molecular Neuroscience-
Computational Neuroscience