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  Initial Quantitative Proteomic Map of 28 Mouse Tissues Using the SILAC Mouse

Geiger, T., Velic, A., Macek, B., Lundberg, E., Kampf, C., Nagaraj, N., Uhlen, M., Cox, J., & Mann, M. (2013). Initial Quantitative Proteomic Map of 28 Mouse Tissues Using the SILAC Mouse. MOLECULAR & CELLULAR PROTEOMICS, 12(6), 1709-1722. doi:10.1074/mcp.M112.024919.

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資料種別: 学術論文

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1709.full.pdf (全文テキスト(全般)), 5MB
ファイルのパーマリンク:
https://hdl.handle.net/11858/00-001M-0000-0013-FD56-F
ファイル名:
1709.full.pdf
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-
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公開
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application/pdf / [MD5]
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-
著作権情報:
open access article - Author's Choice
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 作成者:
Geiger, Tamar1, 著者           
Velic, Ana1, 著者           
Macek, Boris1, 著者           
Lundberg, Emma2, 著者
Kampf, Caroline2, 著者
Nagaraj, Nagarjuna1, 著者           
Uhlen, Mathias2, 著者
Cox, Juergen1, 著者           
Mann, Matthias1, 著者           
所属:
1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
2external, ou_persistent22              

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キーワード: SPECTROMETRY-BASED PROTEOMICS; PROTEIN QUANTIFICATION; HIGH-RESOLUTION; AMINO-ACIDS; CELL-LINES; EXPRESSION; TRANSCRIPTOMES; IDENTIFICATION; ANEUPLOIDY; BIOLOGY
 要旨: Identifying the building blocks of mammalian tissues is a precondition for understanding their function. In particular, global and quantitative analysis of the proteome of mammalian tissues would point to tissue-specific mechanisms and place the function of each protein in a whole-organism perspective. We performed proteomic analyses of 28 mouse tissues using high-resolution mass spectrometry and used a mix of mouse tissues labeled via stable isotope labeling with amino acids in cell culture as a "spike-in" internal standard for accurate protein quantification across these tissues. We identified a total of 7,349 proteins and quantified 6,974 of them. Bioinformatic data analysis showed that physiologically related tissues clustered together and that highly expressed proteins represented the characteristic tissue functions. Tissue specialization was reflected prominently in the proteomic profiles and is apparent already in their hundred most abundant proteins. The proportion of strictly tissue-specific proteins appeared to be small. However, even proteins with household functions, such as those in ribosomes and spliceosomes, can have dramatic expression differences among tissues. We describe a computational framework with which to correlate proteome profiles with physiological functions of the tissue. Our data will be useful to the broad scientific community as an initial atlas of protein expression of a mammalian species.

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言語: eng - English
 日付: 2013-06
 出版の状態: 出版
 ページ: 14
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): ISI: 000319865000018
DOI: 10.1074/mcp.M112.024919
 学位: -

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出版物 1

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出版物名: MOLECULAR & CELLULAR PROTEOMICS
種別: 学術雑誌
 著者・編者:
所属:
出版社, 出版地: 9650 ROCKVILLE PIKE, BETHESDA, MD 20814-3996 USA : AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
ページ: - 巻号: 12 (6) 通巻号: - 開始・終了ページ: 1709 - 1722 識別子(ISBN, ISSN, DOIなど): ISSN: 1535-9476