Data sources for in vivo molecular profiling of human phenotypes.
Molecular profiling of human diseases has been approached at the genetic (DNA), expression (RNA), and proteomic (protein) levels. An important goal of these efforts is to map observed molecular patterns to specific, mechanistic organic entities, such as loci in the genome, individual RNA molecules or defined proteins or protein assemblies. Importantly, such maps have been historically approached in the more intuitive context of a theoretical individual cell, but diseases are better described in reality using an in vivo framework, namely a library of several tissue-specific maps. In this article, we review the existing data atlases that can be used for this purpose and identify critical gaps that could move the field forward from cellular to in vivo dimensions. WIREs Syst Biol Med 2016, 8:472-484. doi: 10.1002/wsbm.1354 For further resources related to this article, please visit the WIREs website.
Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY, USA. Timothy.Cardozo@nyumc.org.
Timothy
T
Cardozo
Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY, USA.|GeneCentrix Inc., New York, NY, USA.
Priyanka
P
Gupta
Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY, USA.|GeneCentrix Inc., New York, NY, USA.
Eric
E
Ni
Department of Pathology, NYU School of Medicine, New York, NY, USA.
Lauren M
LM
Young
GeneCentrix Inc., New York, NY, USA.
Doreen
D
Tivon
GeneCentrix Inc., New York, NY, USA.
Klara
K
Felsovalyi
D001921:Brain / Q000378:metabolism; D004247:DNA / Q000378:metabolism*; D016208:Databases, Factual; D023281:Genomics; D051272:Glucose Transporter Type 1 / Q000235:genetics / Q000378:metabolism; D006801:Humans; D010641:Phenotype; D011506:Proteins / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics
D051272:Glucose Transporter Type 1; D011506:Proteins; D004247:DNA