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A deep proteome and transcriptome abundance atlas of 29 healthy human tissues

Genome‐, transcriptome‐ and proteome‐wide measurements provide insights into how biological systems are regulated. However, fundamental aspects relating to which human proteins exist, where they are expressed and in which quantities are not fully understood. Therefore, we generated a quantitative pr...

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Autores principales: Wang, Dongxue, Eraslan, Basak, Wieland, Thomas, Hallström, Björn, Hopf, Thomas, Zolg, Daniel Paul, Zecha, Jana, Asplund, Anna, Li, Li‐hua, Meng, Chen, Frejno, Martin, Schmidt, Tobias, Schnatbaum, Karsten, Wilhelm, Mathias, Ponten, Frederik, Uhlen, Mathias, Gagneur, Julien, Hahne, Hannes, Kuster, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379049/
https://www.ncbi.nlm.nih.gov/pubmed/30777892
http://dx.doi.org/10.15252/msb.20188503
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author Wang, Dongxue
Eraslan, Basak
Wieland, Thomas
Hallström, Björn
Hopf, Thomas
Zolg, Daniel Paul
Zecha, Jana
Asplund, Anna
Li, Li‐hua
Meng, Chen
Frejno, Martin
Schmidt, Tobias
Schnatbaum, Karsten
Wilhelm, Mathias
Ponten, Frederik
Uhlen, Mathias
Gagneur, Julien
Hahne, Hannes
Kuster, Bernhard
author_facet Wang, Dongxue
Eraslan, Basak
Wieland, Thomas
Hallström, Björn
Hopf, Thomas
Zolg, Daniel Paul
Zecha, Jana
Asplund, Anna
Li, Li‐hua
Meng, Chen
Frejno, Martin
Schmidt, Tobias
Schnatbaum, Karsten
Wilhelm, Mathias
Ponten, Frederik
Uhlen, Mathias
Gagneur, Julien
Hahne, Hannes
Kuster, Bernhard
author_sort Wang, Dongxue
collection PubMed
description Genome‐, transcriptome‐ and proteome‐wide measurements provide insights into how biological systems are regulated. However, fundamental aspects relating to which human proteins exist, where they are expressed and in which quantities are not fully understood. Therefore, we generated a quantitative proteome and transcriptome abundance atlas of 29 paired healthy human tissues from the Human Protein Atlas project representing human genes by 18,072 transcripts and 13,640 proteins including 37 without prior protein‐level evidence. The analysis revealed that hundreds of proteins, particularly in testis, could not be detected even for highly expressed mRNAs, that few proteins show tissue‐specific expression, that strong differences between mRNA and protein quantities within and across tissues exist and that protein expression is often more stable across tissues than that of transcripts. Only 238 of 9,848 amino acid variants found by exome sequencing could be confidently detected at the protein level showing that proteogenomics remains challenging, needs better computational methods and requires rigorous validation. Many uses of this resource can be envisaged including the study of gene/protein expression regulation and biomarker specificity evaluation.
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spelling pubmed-63790492019-02-27 A deep proteome and transcriptome abundance atlas of 29 healthy human tissues Wang, Dongxue Eraslan, Basak Wieland, Thomas Hallström, Björn Hopf, Thomas Zolg, Daniel Paul Zecha, Jana Asplund, Anna Li, Li‐hua Meng, Chen Frejno, Martin Schmidt, Tobias Schnatbaum, Karsten Wilhelm, Mathias Ponten, Frederik Uhlen, Mathias Gagneur, Julien Hahne, Hannes Kuster, Bernhard Mol Syst Biol Articles Genome‐, transcriptome‐ and proteome‐wide measurements provide insights into how biological systems are regulated. However, fundamental aspects relating to which human proteins exist, where they are expressed and in which quantities are not fully understood. Therefore, we generated a quantitative proteome and transcriptome abundance atlas of 29 paired healthy human tissues from the Human Protein Atlas project representing human genes by 18,072 transcripts and 13,640 proteins including 37 without prior protein‐level evidence. The analysis revealed that hundreds of proteins, particularly in testis, could not be detected even for highly expressed mRNAs, that few proteins show tissue‐specific expression, that strong differences between mRNA and protein quantities within and across tissues exist and that protein expression is often more stable across tissues than that of transcripts. Only 238 of 9,848 amino acid variants found by exome sequencing could be confidently detected at the protein level showing that proteogenomics remains challenging, needs better computational methods and requires rigorous validation. Many uses of this resource can be envisaged including the study of gene/protein expression regulation and biomarker specificity evaluation. John Wiley and Sons Inc. 2019-02-18 /pmc/articles/PMC6379049/ /pubmed/30777892 http://dx.doi.org/10.15252/msb.20188503 Text en © 2019 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Wang, Dongxue
Eraslan, Basak
Wieland, Thomas
Hallström, Björn
Hopf, Thomas
Zolg, Daniel Paul
Zecha, Jana
Asplund, Anna
Li, Li‐hua
Meng, Chen
Frejno, Martin
Schmidt, Tobias
Schnatbaum, Karsten
Wilhelm, Mathias
Ponten, Frederik
Uhlen, Mathias
Gagneur, Julien
Hahne, Hannes
Kuster, Bernhard
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
title A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
title_full A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
title_fullStr A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
title_full_unstemmed A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
title_short A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
title_sort deep proteome and transcriptome abundance atlas of 29 healthy human tissues
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379049/
https://www.ncbi.nlm.nih.gov/pubmed/30777892
http://dx.doi.org/10.15252/msb.20188503
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