Uhlén2015 - Human tissue-based proteome metabolic network - lung
Ontology highlight
ABSTRACT:
SUBMITTER: 
Adil Mardinoglu
PROVIDER: MODEL1411240011 | BioModels | 2015-01-28
REPOSITORIES: BioModels
Publications
Proteomics. Tissue-based map of the human proteome.
Uhlén Mathias M Fagerberg Linn L Hallström Björn M BM Lindskog Cecilia C Oksvold Per P Mardinoglu Adil A Sivertsson Åsa Å Kampf Caroline C Sjöstedt Evelina E Asplund Anna A Olsson IngMarie I Edlund Karolina K Lundberg Emma E Navani Sanjay S Szigyarto Cristina Al-Khalili CA Odeberg Jacob J Djureinovic Dijana D Takanen Jenny Ottosson JO Hober Sophia S Alm Tove T Edqvist Per-Henrik PH Berling Holger H Tegel Hanna H Mulder Jan J Rockberg Johan J Nilsson Peter P Schwenk Jochen M JM Hamsten Marica M von Feilitzen Kalle K Forsberg Mattias M Persson Lukas L Johansson Fredric F Zwahlen Martin M von Heijne Gunnar G Nielsen Jens J Pontén Fredrik F
Science (New York, N.Y.) 20150101 6220
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 d ...[more]
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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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2015-01-28 | MODEL1411240003 | BioModels
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ten-year anniversary .
To the extent possible under law, all copyright and related or
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the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
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To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
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To the extent possible under law, all copyright and related or
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the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
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This model is hosted on
BioModels Database
and identified by:
MODEL1411240010.
To cite BioModels Database, please use:
BioModels:
ten-year anniversary .
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-01-28 | MODEL1411240010 | BioModels
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This model is hosted on
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To cite BioModels Database, please use:
BioModels:
ten-year anniversary .
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-01-28 | MODEL1411240007 | BioModels
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This model is hosted on
BioModels Database
and identified by:
MODEL1411240015.
To cite BioModels Database, please use:
BioModels:
ten-year anniversary .
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-01-28 | MODEL1411240015 | BioModels
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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.
This model is hosted on
BioModels Database
and identified by:
MODEL1411240031.
To cite BioModels Database, please use:
BioModels:
ten-year anniversary .
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-01-28 | MODEL1411240031 | BioModels
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This model is hosted on
BioModels Database
and identified by:
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To cite BioModels Database, please use:
BioModels:
ten-year anniversary .
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-01-28 | MODEL1411240021 | BioModels