The glomerular transcriptome and a predicted protein-protein interaction network.
To increase our understanding of the molecular composition of the kidney glomerulus, we performed a meta-analysis of available glomerular transcriptional profiles made from mouse and man using five different methodologies. We generated a combined catalogue of glomerulus-enriched genes that emerged from these different sources and then used this to construct a predicted protein-protein interaction network in the glomerulus (GlomNet). The combined glomerulus-enriched gene catalogue provides the most comprehensive picture of the molecular composition of the glomerulus currently available, and GlomNet contributes an integrative systems biology approach to the understanding of glomerular signaling networks that operate during development, function, and disease.
He
Liqun
L
Division of Matrix Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE 171 77, Stockholm, Sweden.
Sun
Ying
Y
Takemoto
Minoru
M
Norlin
Jenny
J
Tryggvason
Karl
K
Samuelsson
Tore
T
Betsholtz
Christer
C
D000818:Animals; D030541:Databases, Genetic; D003928:Diabetic Nephropathies / Q000235:genetics*; D020869:Gene Expression Profiling; D015723:Gene Library; D023281:Genomics; D006801:Humans; D007678:Kidney Glomerulus / Q000502:physiology*; D051379:Mice; D020411:Oligonucleotide Array Sequence Analysis; D025941:Protein Interaction Mapping; D014158:Transcription, Genetic / Q000502:physiology*