Literature DB >> 33498127

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

Linn Fagerberg1, Björn M Hallström1, Per Oksvold1, Caroline Kampf2, Dijana Djureinovic2, Jacob Odeberg1, Masato Habuka1, Simin Tahmasebpoor2, Angelika Danielsson2, Karolina Edlund2, Anna Asplund2, Evelina Sjöstedt2, Emma Lundberg1, Cristina Al-Khalili Szigyarto1, Marie Skogs1, Jenny Ottosson Takanen3, Holger Berling3, Hanna Tegel3, Jan Mulder4, Peter Nilsson1, Jochen M Schwenk1, Cecilia Lindskog2, Frida Danielsson1, Adil Mardinoglu5, Åsa Sivertsson1, Kalle von Feilitzen3, Mattias Forsberg1, Martin Zwahlen1, IngMarie Olsson2, Sanjay Navani6, Mikael Huss1, Jens Nielsen7, Fredrik Ponten2, Mathias Uhlén8.   

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.
Copyright © 2014 © 2014 ASBMB. Currently published by Elsevier Inc; originally published by American Society for Biochemistry and Molecular Biology. Published by Elsevier Inc. All rights reserved.

Year:  2020        PMID: 33498127     DOI: 10.1074/mcp.M113.035600

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  6 in total

1.  Genome-wide association study across pediatric central nervous system tumors implicates shared predisposition and points to 1q25.2 (PAPPA2) and 11p12 (LRRC4C) as novel candidate susceptibility loci.

Authors:  Jon Foss-Skiftesvik; Christian Munch Hagen; René Mathiasen; Dea Adamsen; Marie Bækvad-Hansen; Anders D Børglum; Merete Nordentoft; Thomas Werge; Michael Christiansen; Kjeld Schmiegelow; Marianne Juhler; Preben Bo Mortensen; David Michael Hougaard; Jonas Bybjerg-Grauholm
Journal:  Childs Nerv Syst       Date:  2020-11-23       Impact factor: 1.475

Review 2.  The tumor suppressor role of salvador family WW domain-containing protein 1 (SAV1): one of the key pieces of the tumor puzzle.

Authors:  Ísis Salviano Soares de Amorim; Mariana Moreno de Sousa Rodrigues; Andre Luiz Mencalha
Journal:  J Cancer Res Clin Oncol       Date:  2021-02-12       Impact factor: 4.553

Review 3.  Heteromeric Solute Carriers: Function, Structure, Pathology and Pharmacology.

Authors:  Stephen J Fairweather; Nishank Shah; Stefan Brӧer
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 4.  Involvement of cytochrome P450 enzymes in inflammation and cancer: a review.

Authors:  Maria Carolina Stipp; Alexandra Acco
Journal:  Cancer Chemother Pharmacol       Date:  2020-10-28       Impact factor: 3.333

5.  Enrichment of Placental Trophoblast Cells from Clinical Cervical Samples Using Differences in Surface Adhesion on an Inclined Plane.

Authors:  Christina M Bailey-Hytholt; Sumaiya Sayeed; Anita Shukla; Anubhav Tripathi
Journal:  Ann Biomed Eng       Date:  2021-03-08       Impact factor: 3.934

6.  8p21.3 deletions are rare causes of non-syndromic autism spectrum disorder.

Authors:  Nele Cosemans; Jarymke Maljaars; Annick Vogels; Maureen Holvoet; Koen Devriendt; Jean Steyaert; Kris Van Den Bogaert; Ilse Noens; Hilde Peeters
Journal:  Neurogenetics       Date:  2021-03-08       Impact factor: 2.660

  6 in total

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