Publication Date:
2003-10-18
Description:
Among 10 breakthroughs that Science announced at the end of 2002 was the discovery of a photosensing (melanopsin-containing) retinal ganglion cell (RGC) and its role in entraining the circadian clock. This breakthrough exemplifies the ultimate goal of neuroscience: to understand the nervous system from molecules to behavior. Light-sensing RGCs constitute one of a dozen discrete RGC populations coding various aspects of visual scenes by virtue of their unique morphology, physiology, and coverage of the retina. Interestingly, the function of the melanopsin-containing RGCs in entraining the circadian clock need not involve much retinal processing, making it the simplest form of processing in the retina. This review focuses on recent advances in our understanding of retinal circuitry, visual processing, and retinal development demonstrated by innovative experimental techniques. It also discusses the advantages of using the retina as a model system to address some of the key questions in neuroscience.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉He, Shigang -- Dong, Wei -- Deng, Qiudong -- Weng, Shijun -- Sun, Wenzhi -- New York, N.Y. -- Science. 2003 Oct 17;302(5644):408-11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Neuroscience, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 320 Yue-yang Road, Shanghai 200031, People's Republic of China. s.he@ion.ac.cn〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14563998" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Circadian Rhythm
;
Dendrites/physiology/ultrastructure
;
Eye Movements
;
Gap Junctions/physiology/ultrastructure
;
Humans
;
Interneurons/physiology
;
Light
;
Motion Perception
;
Neurons/physiology
;
Retina/cytology/*physiology
;
Retinal Ganglion Cells/*physiology
;
Rod Opsins/analysis/genetics/physiology
;
Suprachiasmatic Nucleus/physiology
;
Visual Pathways
;
*Visual Perception
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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