Transcriptomics resources of human tissues and organs

被引:100
|
作者
Uhlen, Mathias [1 ,2 ,3 ]
Hallstrom, Bjorn M. [1 ,2 ]
Lindskog, Cecilia [4 ]
Mardinoglu, Adil [1 ,5 ]
Ponten, Fredrik [4 ]
Nielsen, Jens [1 ,3 ,5 ]
机构
[1] KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden
[2] KTH Royal Inst Technol, Dept Prote, Stockholm, Sweden
[3] Tech Univ Denmark, Novo Nordisk Fdn, Ctr Biosustainabil, Horsholm, Denmark
[4] Uppsala Univ, Dept Immunol Genet & Pathol, Sci Life Lab, Uppsala, Sweden
[5] Chalmers Univ Technol, Dept Biol & Biol Engn, S-41296 Gothenburg, Sweden
关键词
genome-scale metabolic models; proteomics; transcriptomics; SCALE METABOLIC MODELS; GENE-EXPRESSION LEVELS; GENOME-SCALE; MESSENGER-RNA; HEPATOCELLULAR-CARCINOMA; GLOBAL RECONSTRUCTION; SYSTEMS MEDICINE; CLINICAL-DATA; NETWORK; PROTEIN;
D O I
10.15252/msb.20155865
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Quantifying the differential expression of genes in various human organs, tissues, and cell types is vital to understand human physiology and disease. Recently, several large-scale transcriptomics studies have analyzed the expression of protein-coding genes across tissues. These datasets provide a framework for defining the molecular constituents of the human body as well as for generating comprehensive lists of proteins expressed across tissues or in a tissue-restricted manner. Here, we review publicly available human transcriptome resources and discuss body-wide data from independent genome-wide transcriptome analyses of different tissues. Gene expression measurements from these independent datasets, generated using samples from fresh frozen surgical specimens and postmortem tissues, are consistent. Overall, the different genome-wide analyses support a distribution in which many proteins are found in all tissues and relatively few in a tissue-restricted manner. Moreover, we discuss the applications of publicly available omics data for building genome-scale metabolic models, used for analyzing cell and tissue functions both in physiological and in disease contexts.
引用
收藏
页数:12
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