Proteomics. Tissue-based map of the human proteome

Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcrip...
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Autor*in:	Uhlén, Mathias [verfasserIn] Fagerberg, Linn Hallström, Björn M Lindskog, Cecilia Oksvold, Per Mardinoglu, Adil Sivertsson, Åsa Kampf, Caroline Sjöstedt, Evelina Asplund, Anna Olsson, IngMarie Edlund, Karolina Lundberg, Emma Navani, Sanjay Szigyarto, Cristina Al-Khalili Odeberg, Jacob Djureinovic, Dijana Takanen, Jenny Ottosson Hober, Sophia Alm, Tove Edqvist, Per-Henrik Berling, Holger Tegel, Hanna Mulder, Jan Rockberg, Johan Nilsson, Peter Schwenk, Jochen M Hamsten, Marica von Feilitzen, Kalle Forsberg, Mattias Persson, Lukas Johansson, Fredric Zwahlen, Martin von Heijne, Gunnar Nielsen, Jens Pontén, Fredrik

Format:	Artikel
Sprache:	Englisch

Erschienen:	2015

Rechteinformationen:	Nutzungsrecht: Copyright © 2015, American Association for the Advancement of Science.

Schlagwörter:	Neoplasms - genetics Membrane Proteins - genetics Mitochondrial Proteins - metabolism Neoplasms - metabolism Proteome - metabolism Membrane Proteins - metabolism Protein Isoforms - genetics Protein Isoforms - metabolism Mitochondrial Proteins - genetics Proteome - genetics

Übergeordnetes Werk:	Enthalten in: Science - Washington, DC : AAAS, American Assoc. for the Advancement of Science, 1883, 347(2015), 6220
Übergeordnetes Werk:	volume:347 ; year:2015 ; number:6220

Links:	Link aufrufen

Katalog-ID:	OLC1966824211

Internformat


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520			\|a Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
540			\|a Nutzungsrecht: Copyright © 2015, American Association for the Advancement of Science.
650		4	\|a Neoplasms - genetics
650		4	\|a Membrane Proteins - genetics
650		4	\|a Mitochondrial Proteins - metabolism
650		4	\|a Neoplasms - metabolism
650		4	\|a Proteome - metabolism
650		4	\|a Membrane Proteins - metabolism
650		4	\|a Protein Isoforms - genetics
650		4	\|a Protein Isoforms - metabolism
650		4	\|a Mitochondrial Proteins - genetics
650		4	\|a Proteome - genetics
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700	1		\|a Persson, Lukas \|4 oth
700	1		\|a Johansson, Fredric \|4 oth
700	1		\|a Zwahlen, Martin \|4 oth
700	1		\|a von Heijne, Gunnar \|4 oth
700	1		\|a Nielsen, Jens \|4 oth
700	1		\|a Pontén, Fredrik \|4 oth
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spelling	PQ20160617 (DE-627)OLC1966824211 (DE-599)GBVOLC1966824211 (PRQ)p479-c1240f681ed7f12356cfb9a19e2b315bca316833faca2d4c069eed9d1df538320 (KEY)0063888920150000347622000000proteomicstissuebasedmapofthehumanproteome DE-627 ger DE-627 rakwb eng 500 DNB LING fid Uhlén, Mathias verfasserin aut Proteomics. Tissue-based map of the human proteome 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Nutzungsrecht: Copyright © 2015, American Association for the Advancement of Science. Neoplasms - genetics Membrane Proteins - genetics Mitochondrial Proteins - metabolism Neoplasms - metabolism Proteome - metabolism Membrane Proteins - metabolism Protein Isoforms - genetics Protein Isoforms - metabolism Mitochondrial Proteins - genetics Proteome - genetics Fagerberg, Linn oth Hallström, Björn M oth Lindskog, Cecilia oth Oksvold, Per oth Mardinoglu, Adil oth Sivertsson, Åsa oth Kampf, Caroline oth Sjöstedt, Evelina oth Asplund, Anna oth Olsson, IngMarie oth Edlund, Karolina oth Lundberg, Emma oth Navani, Sanjay oth Szigyarto, Cristina Al-Khalili oth Odeberg, Jacob oth Djureinovic, Dijana oth Takanen, Jenny Ottosson oth Hober, Sophia oth Alm, Tove oth Edqvist, Per-Henrik oth Berling, Holger oth Tegel, Hanna oth Mulder, Jan oth Rockberg, Johan oth Nilsson, Peter oth Schwenk, Jochen M oth Hamsten, Marica oth von Feilitzen, Kalle oth Forsberg, Mattias oth Persson, Lukas oth Johansson, Fredric oth Zwahlen, Martin oth von Heijne, Gunnar oth Nielsen, Jens oth Pontén, Fredrik oth Enthalten in Science Washington, DC : AAAS, American Assoc. for the Advancement of Science, 1883 347(2015), 6220 (DE-627)12931482X (DE-600)128410-1 (DE-576)014533189 0036-8075 nnns volume:347 year:2015 number:6220 http://www.ncbi.nlm.nih.gov/pubmed/25613900 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-LING SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OLC-FOR SSG-OLC-SPO SSG-OLC-IBL SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_30 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_47 GBV_ILN_55 GBV_ILN_59 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_92 GBV_ILN_101 GBV_ILN_110 GBV_ILN_120 GBV_ILN_131 GBV_ILN_170 GBV_ILN_171 GBV_ILN_179 GBV_ILN_181 GBV_ILN_211 GBV_ILN_252 GBV_ILN_259 GBV_ILN_290 GBV_ILN_600 GBV_ILN_601 GBV_ILN_647 GBV_ILN_754 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2012 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2116 GBV_ILN_2120 GBV_ILN_2121 GBV_ILN_2173 GBV_ILN_2185 GBV_ILN_2219 GBV_ILN_2221 GBV_ILN_2279 GBV_ILN_2286 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4036 GBV_ILN_4046 GBV_ILN_4125 GBV_ILN_4219 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4302 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4314 GBV_ILN_4317 GBV_ILN_4318 GBV_ILN_4320 GBV_ILN_4324 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4700 AR 347 2015 6220
allfields_unstemmed	PQ20160617 (DE-627)OLC1966824211 (DE-599)GBVOLC1966824211 (PRQ)p479-c1240f681ed7f12356cfb9a19e2b315bca316833faca2d4c069eed9d1df538320 (KEY)0063888920150000347622000000proteomicstissuebasedmapofthehumanproteome DE-627 ger DE-627 rakwb eng 500 DNB LING fid Uhlén, Mathias verfasserin aut Proteomics. Tissue-based map of the human proteome 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Nutzungsrecht: Copyright © 2015, American Association for the Advancement of Science. Neoplasms - genetics Membrane Proteins - genetics Mitochondrial Proteins - metabolism Neoplasms - metabolism Proteome - metabolism Membrane Proteins - metabolism Protein Isoforms - genetics Protein Isoforms - metabolism Mitochondrial Proteins - genetics Proteome - genetics Fagerberg, Linn oth Hallström, Björn M oth Lindskog, Cecilia oth Oksvold, Per oth Mardinoglu, Adil oth Sivertsson, Åsa oth Kampf, Caroline oth Sjöstedt, Evelina oth Asplund, Anna oth Olsson, IngMarie oth Edlund, Karolina oth Lundberg, Emma oth Navani, Sanjay oth Szigyarto, Cristina Al-Khalili oth Odeberg, Jacob oth Djureinovic, Dijana oth Takanen, Jenny Ottosson oth Hober, Sophia oth Alm, Tove oth Edqvist, Per-Henrik oth Berling, Holger oth Tegel, Hanna oth Mulder, Jan oth Rockberg, Johan oth Nilsson, Peter oth Schwenk, Jochen M oth Hamsten, Marica oth von Feilitzen, Kalle oth Forsberg, Mattias oth Persson, Lukas oth Johansson, Fredric oth Zwahlen, Martin oth von Heijne, Gunnar oth Nielsen, Jens oth Pontén, Fredrik oth Enthalten in Science Washington, DC : AAAS, American Assoc. for the Advancement of Science, 1883 347(2015), 6220 (DE-627)12931482X (DE-600)128410-1 (DE-576)014533189 0036-8075 nnns volume:347 year:2015 number:6220 http://www.ncbi.nlm.nih.gov/pubmed/25613900 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-LING SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OLC-FOR SSG-OLC-SPO SSG-OLC-IBL SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_30 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_47 GBV_ILN_55 GBV_ILN_59 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_92 GBV_ILN_101 GBV_ILN_110 GBV_ILN_120 GBV_ILN_131 GBV_ILN_170 GBV_ILN_171 GBV_ILN_179 GBV_ILN_181 GBV_ILN_211 GBV_ILN_252 GBV_ILN_259 GBV_ILN_290 GBV_ILN_600 GBV_ILN_601 GBV_ILN_647 GBV_ILN_754 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2012 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2116 GBV_ILN_2120 GBV_ILN_2121 GBV_ILN_2173 GBV_ILN_2185 GBV_ILN_2219 GBV_ILN_2221 GBV_ILN_2279 GBV_ILN_2286 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4036 GBV_ILN_4046 GBV_ILN_4125 GBV_ILN_4219 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4302 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4314 GBV_ILN_4317 GBV_ILN_4318 GBV_ILN_4320 GBV_ILN_4324 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4700 AR 347 2015 6220
allfieldsGer	PQ20160617 (DE-627)OLC1966824211 (DE-599)GBVOLC1966824211 (PRQ)p479-c1240f681ed7f12356cfb9a19e2b315bca316833faca2d4c069eed9d1df538320 (KEY)0063888920150000347622000000proteomicstissuebasedmapofthehumanproteome DE-627 ger DE-627 rakwb eng 500 DNB LING fid Uhlén, Mathias verfasserin aut Proteomics. Tissue-based map of the human proteome 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Nutzungsrecht: Copyright © 2015, American Association for the Advancement of Science. Neoplasms - genetics Membrane Proteins - genetics Mitochondrial Proteins - metabolism Neoplasms - metabolism Proteome - metabolism Membrane Proteins - metabolism Protein Isoforms - genetics Protein Isoforms - metabolism Mitochondrial Proteins - genetics Proteome - genetics Fagerberg, Linn oth Hallström, Björn M oth Lindskog, Cecilia oth Oksvold, Per oth Mardinoglu, Adil oth Sivertsson, Åsa oth Kampf, Caroline oth Sjöstedt, Evelina oth Asplund, Anna oth Olsson, IngMarie oth Edlund, Karolina oth Lundberg, Emma oth Navani, Sanjay oth Szigyarto, Cristina Al-Khalili oth Odeberg, Jacob oth Djureinovic, Dijana oth Takanen, Jenny Ottosson oth Hober, Sophia oth Alm, Tove oth Edqvist, Per-Henrik oth Berling, Holger oth Tegel, Hanna oth Mulder, Jan oth Rockberg, Johan oth Nilsson, Peter oth Schwenk, Jochen M oth Hamsten, Marica oth von Feilitzen, Kalle oth Forsberg, Mattias oth Persson, Lukas oth Johansson, Fredric oth Zwahlen, Martin oth von Heijne, Gunnar oth Nielsen, Jens oth Pontén, Fredrik oth Enthalten in Science Washington, DC : AAAS, American Assoc. for the Advancement of Science, 1883 347(2015), 6220 (DE-627)12931482X (DE-600)128410-1 (DE-576)014533189 0036-8075 nnns volume:347 year:2015 number:6220 http://www.ncbi.nlm.nih.gov/pubmed/25613900 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-LING SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OLC-FOR SSG-OLC-SPO SSG-OLC-IBL SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_30 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_47 GBV_ILN_55 GBV_ILN_59 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_92 GBV_ILN_101 GBV_ILN_110 GBV_ILN_120 GBV_ILN_131 GBV_ILN_170 GBV_ILN_171 GBV_ILN_179 GBV_ILN_181 GBV_ILN_211 GBV_ILN_252 GBV_ILN_259 GBV_ILN_290 GBV_ILN_600 GBV_ILN_601 GBV_ILN_647 GBV_ILN_754 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2012 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2116 GBV_ILN_2120 GBV_ILN_2121 GBV_ILN_2173 GBV_ILN_2185 GBV_ILN_2219 GBV_ILN_2221 GBV_ILN_2279 GBV_ILN_2286 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4036 GBV_ILN_4046 GBV_ILN_4125 GBV_ILN_4219 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4302 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4314 GBV_ILN_4317 GBV_ILN_4318 GBV_ILN_4320 GBV_ILN_4324 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4700 AR 347 2015 6220
allfieldsSound	PQ20160617 (DE-627)OLC1966824211 (DE-599)GBVOLC1966824211 (PRQ)p479-c1240f681ed7f12356cfb9a19e2b315bca316833faca2d4c069eed9d1df538320 (KEY)0063888920150000347622000000proteomicstissuebasedmapofthehumanproteome DE-627 ger DE-627 rakwb eng 500 DNB LING fid Uhlén, Mathias verfasserin aut Proteomics. Tissue-based map of the human proteome 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Nutzungsrecht: Copyright © 2015, American Association for the Advancement of Science. Neoplasms - genetics Membrane Proteins - genetics Mitochondrial Proteins - metabolism Neoplasms - metabolism Proteome - metabolism Membrane Proteins - metabolism Protein Isoforms - genetics Protein Isoforms - metabolism Mitochondrial Proteins - genetics Proteome - genetics Fagerberg, Linn oth Hallström, Björn M oth Lindskog, Cecilia oth Oksvold, Per oth Mardinoglu, Adil oth Sivertsson, Åsa oth Kampf, Caroline oth Sjöstedt, Evelina oth Asplund, Anna oth Olsson, IngMarie oth Edlund, Karolina oth Lundberg, Emma oth Navani, Sanjay oth Szigyarto, Cristina Al-Khalili oth Odeberg, Jacob oth Djureinovic, Dijana oth Takanen, Jenny Ottosson oth Hober, Sophia oth Alm, Tove oth Edqvist, Per-Henrik oth Berling, Holger oth Tegel, Hanna oth Mulder, Jan oth Rockberg, Johan oth Nilsson, Peter oth Schwenk, Jochen M oth Hamsten, Marica oth von Feilitzen, Kalle oth Forsberg, Mattias oth Persson, Lukas oth Johansson, Fredric oth Zwahlen, Martin oth von Heijne, Gunnar oth Nielsen, Jens oth Pontén, Fredrik oth Enthalten in Science Washington, DC : AAAS, American Assoc. for the Advancement of Science, 1883 347(2015), 6220 (DE-627)12931482X (DE-600)128410-1 (DE-576)014533189 0036-8075 nnns volume:347 year:2015 number:6220 http://www.ncbi.nlm.nih.gov/pubmed/25613900 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-LING SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OLC-FOR SSG-OLC-SPO SSG-OLC-IBL SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_30 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_47 GBV_ILN_55 GBV_ILN_59 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_92 GBV_ILN_101 GBV_ILN_110 GBV_ILN_120 GBV_ILN_131 GBV_ILN_170 GBV_ILN_171 GBV_ILN_179 GBV_ILN_181 GBV_ILN_211 GBV_ILN_252 GBV_ILN_259 GBV_ILN_290 GBV_ILN_600 GBV_ILN_601 GBV_ILN_647 GBV_ILN_754 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2012 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2116 GBV_ILN_2120 GBV_ILN_2121 GBV_ILN_2173 GBV_ILN_2185 GBV_ILN_2219 GBV_ILN_2221 GBV_ILN_2279 GBV_ILN_2286 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4036 GBV_ILN_4046 GBV_ILN_4125 GBV_ILN_4219 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4302 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4314 GBV_ILN_4317 GBV_ILN_4318 GBV_ILN_4320 GBV_ILN_4324 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4700 AR 347 2015 6220
language	English
source	Enthalten in Science 347(2015), 6220 volume:347 year:2015 number:6220
sourceStr	Enthalten in Science 347(2015), 6220 volume:347 year:2015 number:6220
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Neoplasms - genetics Membrane Proteins - genetics Mitochondrial Proteins - metabolism Neoplasms - metabolism Proteome - metabolism Membrane Proteins - metabolism Protein Isoforms - genetics Protein Isoforms - metabolism Mitochondrial Proteins - genetics Proteome - genetics
dewey-raw	500
isfreeaccess_bool	false
container_title	Science
authorswithroles_txt_mv	Uhlén, Mathias @@aut@@ Fagerberg, Linn @@oth@@ Hallström, Björn M @@oth@@ Lindskog, Cecilia @@oth@@ Oksvold, Per @@oth@@ Mardinoglu, Adil @@oth@@ Sivertsson, Åsa @@oth@@ Kampf, Caroline @@oth@@ Sjöstedt, Evelina @@oth@@ Asplund, Anna @@oth@@ Olsson, IngMarie @@oth@@ Edlund, Karolina @@oth@@ Lundberg, Emma @@oth@@ Navani, Sanjay @@oth@@ Szigyarto, Cristina Al-Khalili @@oth@@ Odeberg, Jacob @@oth@@ Djureinovic, Dijana @@oth@@ Takanen, Jenny Ottosson @@oth@@ Hober, Sophia @@oth@@ Alm, Tove @@oth@@ Edqvist, Per-Henrik @@oth@@ Berling, Holger @@oth@@ Tegel, Hanna @@oth@@ Mulder, Jan @@oth@@ Rockberg, Johan @@oth@@ Nilsson, Peter @@oth@@ Schwenk, Jochen M @@oth@@ Hamsten, Marica @@oth@@ von Feilitzen, Kalle @@oth@@ Forsberg, Mattias @@oth@@ Persson, Lukas @@oth@@ Johansson, Fredric @@oth@@ Zwahlen, Martin @@oth@@ von Heijne, Gunnar @@oth@@ Nielsen, Jens @@oth@@ Pontén, Fredrik @@oth@@
publishDateDaySort_date	2015-01-01T00:00:00Z
hierarchy_top_id	12931482X
dewey-sort	3500
id	OLC1966824211
language_de	englisch
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author	Uhlén, Mathias
spellingShingle	Uhlén, Mathias ddc 500 fid LING misc Neoplasms - genetics misc Membrane Proteins - genetics misc Mitochondrial Proteins - metabolism misc Neoplasms - metabolism misc Proteome - metabolism misc Membrane Proteins - metabolism misc Protein Isoforms - genetics misc Protein Isoforms - metabolism misc Mitochondrial Proteins - genetics misc Proteome - genetics Proteomics. Tissue-based map of the human proteome
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topic_title	500 DNB LING fid Proteomics. Tissue-based map of the human proteome Neoplasms - genetics Membrane Proteins - genetics Mitochondrial Proteins - metabolism Neoplasms - metabolism Proteome - metabolism Membrane Proteins - metabolism Protein Isoforms - genetics Protein Isoforms - metabolism Mitochondrial Proteins - genetics Proteome - genetics
topic	ddc 500 fid LING misc Neoplasms - genetics misc Membrane Proteins - genetics misc Mitochondrial Proteins - metabolism misc Neoplasms - metabolism misc Proteome - metabolism misc Membrane Proteins - metabolism misc Protein Isoforms - genetics misc Protein Isoforms - metabolism misc Mitochondrial Proteins - genetics misc Proteome - genetics
topic_unstemmed	ddc 500 fid LING misc Neoplasms - genetics misc Membrane Proteins - genetics misc Mitochondrial Proteins - metabolism misc Neoplasms - metabolism misc Proteome - metabolism misc Membrane Proteins - metabolism misc Protein Isoforms - genetics misc Protein Isoforms - metabolism misc Mitochondrial Proteins - genetics misc Proteome - genetics
topic_browse	ddc 500 fid LING misc Neoplasms - genetics misc Membrane Proteins - genetics misc Mitochondrial Proteins - metabolism misc Neoplasms - metabolism misc Proteome - metabolism misc Membrane Proteins - metabolism misc Protein Isoforms - genetics misc Protein Isoforms - metabolism misc Mitochondrial Proteins - genetics misc Proteome - genetics
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title	Proteomics. Tissue-based map of the human proteome
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title_full	Proteomics. Tissue-based map of the human proteome
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title_sort	proteomics. tissue-based map of the human proteome
title_auth	Proteomics. Tissue-based map of the human proteome
abstract	Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
abstractGer	Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
abstract_unstemmed	Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
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title_short	Proteomics. Tissue-based map of the human proteome
url	http://www.ncbi.nlm.nih.gov/pubmed/25613900
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up_date	2024-07-03T23:02:05.437Z
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