Publication Date:
2008-11-08
Description:
The success of forward genetic (from phenotype to gene) approaches to uncover genes that drive the molecular mechanism of circadian clocks and control circadian behavior has been unprecedented. Links among genes, cells, neural circuits, and circadian behavior have been uncovered in the Drosophila and mammalian systems, demonstrating the feasibility of finding single genes that have major effects on behavior. Why was this approach so successful in the elucidation of circadian rhythms? This article explores the answers to this question and describes how the methods used successfully for identifying the molecular basis of circadian rhythms can be applied to other behaviors such as anxiety, addiction, and learning and memory.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3744585/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3744585/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Takahashi, Joseph S -- Shimomura, Kazuhiro -- Kumar, Vivek -- F32 DA024556/DA/NIDA NIH HHS/ -- P50 MH074924/MH/NIMH NIH HHS/ -- R01 MH078024/MH/NIMH NIH HHS/ -- U01 MH061915/MH/NIMH NIH HHS/ -- U01 MH61915/MH/NIMH NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2008 Nov 7;322(5903):909-12. doi: 10.1126/science.1158822.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, Northwestern University, Evanston, IL 60208, USA. j-takahashi@northwestern.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18988844" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Anxiety/genetics
;
Behavior/*physiology
;
Behavior, Addictive/genetics
;
Behavior, Animal/*physiology
;
Biological Clocks/*genetics
;
Circadian Rhythm/*genetics
;
*Genes
;
*Genetic Techniques
;
Humans
;
Learning
;
Mice
;
Mutation
;
Phenotype
;
Point Mutation
;
Sequence Analysis, DNA
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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