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

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

来源:bioRxiv_logobioRxiv
英文摘要

Abstract Genome-, transcriptome- and proteome-wide measurements provide valuable insights into how biological systems are regulated. However, even fundamental aspects relating to which human proteins exist, where they are expressed and in which quantities are not fully understood. Therefore, we have generated a systematic, quantitative and deep proteome and transcriptome abundance atlas from 29 paired healthy human tissues from the Human Protein Atlas Project and representing human genes by 17,615 transcripts and 13,664 proteins. The analysis revealed that few proteins show truly tissue-specific expression, that vast differences between mRNA and protein quantities within and across tissues exist and that the expression levels of proteins are often more stable across tissues than those of transcripts. In addition, only ~2% of all exome and ~7% of all mRNA variants could be confidently detected at the protein level showing that proteogenomics remains challenging, requires rigorous validation using synthetic peptides and needs more sophisticated computational methods. Many uses of this resource can be envisaged ranging from the study of gene/protein expression regulation to protein biomarker specificity evaluation to name a few.

Kuster Bernhard、Wang Dongxue、Eraslan Basak、Wieland Thomas、Hallstr?m Bj?rn、Hopf Thomas、Zolg Daniel Paul、Asplund Anna、Meng Chen、Schmidt Tobias、Wilhelm Mathias、Frejno Martin、Uhlen Mathias、Schnatbaum Karsten、Hahne Hannes、Li Li-hua、Gagneur Julien、Zecha Jana、Ponten Frederik

Chair of Proteomics and Bioanalytics, Technische Universit?t M¨1nchen||Center For Integrated Protein Science Munich (CIPSM)Chair of Proteomics and Bioanalytics, Technische Universit?t M¨1nchenComputational Biology, Department of Informatics, Technical University of Munich||Quantitative Biosciences Munich, Gene Center, Department of Biochemistry, Ludwig Maximilian Universit?tOmicScouts GmbHScience for Life Laboratory, KTH - Royal Institute of TechnologyOmicScouts GmbHChair of Proteomics and Bioanalytics, Technische Universit?t M¨1nchenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala UniversityChair of Proteomics and Bioanalytics, Technische Universit?t M¨1nchenChair of Proteomics and Bioanalytics, Technische Universit?t M¨1nchenChair of Proteomics and Bioanalytics, Technische Universit?t M¨1nchenScience for Life Laboratory, KTH - Royal Institute of TechnologyJPT Peptide Technologies GmbHOmicScouts GmbHComputational Biology, Department of Informatics, Technical University of MunichChair of Proteomics and Bioanalytics, Technische Universit?t M¨1nchenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University

10.1101/357137

生物科学研究方法、生物科学研究技术分子生物学生物化学

Quantitative mass spectrometryproteogenomicshuman proteomeRNA-Seqhuman transcriptome

Kuster Bernhard,Wang Dongxue,Eraslan Basak,Wieland Thomas,Hallstr?m Bj?rn,Hopf Thomas,Zolg Daniel Paul,Asplund Anna,Meng Chen,Schmidt Tobias,Wilhelm Mathias,Frejno Martin,Uhlen Mathias,Schnatbaum Karsten,Hahne Hannes,Li Li-hua,Gagneur Julien,Zecha Jana,Ponten Frederik.A deep proteome and transcriptome abundance atlas of 29 healthy human tissues[EB/OL].(2025-03-28)[2025-05-17].https://www.biorxiv.org/content/10.1101/357137.点此复制

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