Quantitative expression profile of distinct functional regions in the adult mouse brain.

The adult mammalian brain is composed of distinct regions with specialized roles including regulation of circadian clocks, feeding, sleep/awake, and seasonal rhythms. To find quantitative differences of expression among such various brain regions, we conducted the BrainStars (B*) project, in which w...

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Autores principales:	Takeya Kasukawa, Koh-hei Masumoto, Itoshi Nikaido, Mamoru Nagano, Kenichiro D Uno, Kaori Tsujino, Carina Hanashima, Yasufumi Shigeyoshi, Hiroki R Ueda
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/dfa2506b0ee0427ba3acb9ddc9542653
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spelling	oai:doaj.org-article:dfa2506b0ee0427ba3acb9ddc95426532021-11-18T06:48:03ZQuantitative expression profile of distinct functional regions in the adult mouse brain.1932-620310.1371/journal.pone.0023228https://doaj.org/article/dfa2506b0ee0427ba3acb9ddc95426532011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21858037/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203The adult mammalian brain is composed of distinct regions with specialized roles including regulation of circadian clocks, feeding, sleep/awake, and seasonal rhythms. To find quantitative differences of expression among such various brain regions, we conducted the BrainStars (B*) project, in which we profiled the genome-wide expression of ∼50 small brain regions, including sensory centers, and centers for motion, time, memory, fear, and feeding. To avoid confounds from temporal differences in gene expression, we sampled each region every 4 hours for 24 hours, and pooled the samples for DNA-microarray assays. Therefore, we focused on spatial differences in gene expression. We used informatics to identify candidate genes with expression changes showing high or low expression in specific regions. We also identified candidate genes with stable expression across brain regions that can be used as new internal control genes, and ligand-receptor interactions of neurohormones and neurotransmitters. Through these analyses, we found 8,159 multi-state genes, 2,212 regional marker gene candidates for 44 small brain regions, 915 internal control gene candidates, and 23,864 inferred ligand-receptor interactions. We also found that these sets include well-known genes as well as novel candidate genes that might be related to specific functions in brain regions. We used our findings to develop an integrated database (http://brainstars.org/) for exploring genome-wide expression in the adult mouse brain, and have made this database openly accessible. These new resources will help accelerate the functional analysis of the mammalian brain and the elucidation of its regulatory network systems.Takeya KasukawaKoh-hei MasumotoItoshi NikaidoMamoru NaganoKenichiro D UnoKaori TsujinoCarina HanashimaYasufumi ShigeyoshiHiroki R UedaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 8, p e23228 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Takeya Kasukawa Koh-hei Masumoto Itoshi Nikaido Mamoru Nagano Kenichiro D Uno Kaori Tsujino Carina Hanashima Yasufumi Shigeyoshi Hiroki R Ueda Quantitative expression profile of distinct functional regions in the adult mouse brain.
description	The adult mammalian brain is composed of distinct regions with specialized roles including regulation of circadian clocks, feeding, sleep/awake, and seasonal rhythms. To find quantitative differences of expression among such various brain regions, we conducted the BrainStars (B*) project, in which we profiled the genome-wide expression of ∼50 small brain regions, including sensory centers, and centers for motion, time, memory, fear, and feeding. To avoid confounds from temporal differences in gene expression, we sampled each region every 4 hours for 24 hours, and pooled the samples for DNA-microarray assays. Therefore, we focused on spatial differences in gene expression. We used informatics to identify candidate genes with expression changes showing high or low expression in specific regions. We also identified candidate genes with stable expression across brain regions that can be used as new internal control genes, and ligand-receptor interactions of neurohormones and neurotransmitters. Through these analyses, we found 8,159 multi-state genes, 2,212 regional marker gene candidates for 44 small brain regions, 915 internal control gene candidates, and 23,864 inferred ligand-receptor interactions. We also found that these sets include well-known genes as well as novel candidate genes that might be related to specific functions in brain regions. We used our findings to develop an integrated database (http://brainstars.org/) for exploring genome-wide expression in the adult mouse brain, and have made this database openly accessible. These new resources will help accelerate the functional analysis of the mammalian brain and the elucidation of its regulatory network systems.
format	article
author	Takeya Kasukawa Koh-hei Masumoto Itoshi Nikaido Mamoru Nagano Kenichiro D Uno Kaori Tsujino Carina Hanashima Yasufumi Shigeyoshi Hiroki R Ueda
author_facet	Takeya Kasukawa Koh-hei Masumoto Itoshi Nikaido Mamoru Nagano Kenichiro D Uno Kaori Tsujino Carina Hanashima Yasufumi Shigeyoshi Hiroki R Ueda
author_sort	Takeya Kasukawa
title	Quantitative expression profile of distinct functional regions in the adult mouse brain.
title_short	Quantitative expression profile of distinct functional regions in the adult mouse brain.
title_full	Quantitative expression profile of distinct functional regions in the adult mouse brain.
title_fullStr	Quantitative expression profile of distinct functional regions in the adult mouse brain.
title_full_unstemmed	Quantitative expression profile of distinct functional regions in the adult mouse brain.
title_sort	quantitative expression profile of distinct functional regions in the adult mouse brain.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/dfa2506b0ee0427ba3acb9ddc9542653
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Quantitative expression profile of distinct functional regions in the adult mouse brain.

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