E-MTAB-513
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA145829PRJNA176589PRJNA150189PRJEB4568
PROVIDER: E-MTAB-513 | ExpressionAtlas | 2015-08-06
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Illumina bodyMap2 transcriptome Transcription profiling by high throughput sequencing of individual and mixture of 16 human tissues RNA. Additional supplementary files available at foot of this record. Additional information available as supplementary files at the foot of this record. ArrayExpress Release Date: 2011-03-17 Person Roles: submitter Person Last Name: Khrebtukova Person First Name: Irina Person Mid Initials: Person Email: ikhrebtukova@illumina.com Person Phone: 1-510-723-9219 Person Address: 25861 Industrial Blvd, Hayward CA 94545, USA Person Affiliation: Illumina
2011-07-14 | GSE30611 | GEO
Project description:Transcription profiling by high throughput sequencing of individual and mixture of 16 human tissues RNA. This dataset is part of the TransQST collection.
2011-05-05 | E-MTAB-513 | biostudies-arrayexpress
Project description:[E-MTAB-513] Illumina Human Body Map 2.0 Project
| PRJNA144517 | ENA
Project description:We describe PolyA-Seq, a strand-specific method for high-throughput sequencing of the 3' ends of polyadenylated transcripts. PolyA-Seq is as accurate for digital gene expression as existing RNA sequencing approaches, and superior to microarrays. We used the approach to map polyadenylation (polyA) sites in 24 samples from normal tissues in human, rhesus, dog, mouse, and rat. Detection of polyA sites in a mixture of 24 tissues in human, mouse, rat, dog and rhesus. Samples included two replicates each of MAQC Human Brain Reference and MAQC Universal Human Reference. Two additional human sets of reads are included that were used to distinguish true polyA sites from internal priming sites.
2011-06-25 | E-GEOD-30198 | biostudies-arrayexpress
Project description:Uhlén2015 - Human tissue-based proteome metabolic network - prostate
Human prostate specific proteome metabolic network
This model is described in the article:
Tissue-based map of the human proteome
Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edllund K, Lundberg E, Navani S, Szigyarto AC, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist P, Berlin H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F.
Science 2015 January; 347(6220)
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:
MODEL1411240028.
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 | MODEL1411240028 | BioModels
Project description:Uhlén2015 - Human tissue-based proteome metabolic network - heart
Human heart specific proteome metabolic network
This model is described in the article:
Tissue-based map of the human proteome
Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edllund K, Lundberg E, Navani S, Szigyarto AC, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist P, Berlin H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F.
Science 2015 January; 347(6220)
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:
MODEL1411240029.
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 | MODEL1411240029 | BioModels
Project description:Uhlén2015 - Human tissue-based proteome metabolic network - lung
Human lung specific proteome metabolic network
This model is described in the article:
Tissue-based map of the human proteome
Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edllund K, Lundberg E, Navani S, Szigyarto AC, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist P, Berlin H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F.
Science 2015 January; 347(6220)
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:
MODEL1411240011.
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 | MODEL1411240011 | BioModels
Project description:Uhlén2015 - Human tissue-based proteome metabolic network - lymph node
Human lymph node specific proteome metabolic network
This model is described in the article:
Tissue-based map of the human proteome
Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edllund K, Lundberg E, Navani S, Szigyarto AC, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist P, Berlin H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F.
Science 2015 January; 347(6220)
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:
MODEL1411240016.
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 | MODEL1411240016 | BioModels