Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics

Overview

Journal Mol Cell Proteomics

Specialties Biochemistry
Cell Biology
Molecular Biology

Date 2013 Dec 7

PMID 24309898

Citations 1828

Authors

Linn Fagerberg

Bjorn M Hallstrom

Per Oksvold

Caroline Kampf

Dijana Djureinovic

Jacob Odeberg

Masato Habuka

Simin Tahmasebpoor

Angelika Danielsson

Karolina Edlund

Anna Asplund

Evelina Sjostedt

Emma Lundberg

Cristina Al-Khalili Szigyarto

Marie Skogs

Jenny Ottosson Takanen

Holger Berling

Hanna Tegel

Jan Mulder

Peter Nilsson

Jochen M Schwenk

Cecilia Lindskog

Frida Danielsson

Adil Mardinoglu

Asa Sivertsson

Kalle Von Feilitzen

Mattias Forsberg

Martin Zwahlen

Ingmarie Olsson

Sanjay Navani

Mikael Huss

Jens Nielsen

Fredrik Ponten

Mathias Uhlen

Affiliations

Soon will be listed here.

Abstract

Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to ∼80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body.

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