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TranscriptomicsProtein sets define disease states and predict in vivo effects of drug treatment [Liver A]
Gaining understanding of common complex diseases and their treatments are the main drivers for life sciences. As we show here, comprehensive protein set analyses offer new opportunities to decipher functional molecular networks of diseases and assess the efficacy and side-effects of treatments in vi...
ORGANISM(S): Mus musculus 
2013-09-05 | E-GEOD-38853 | biostudies-arrayexpress
TranscriptomicsProtein sets define disease states and predict in vivo effects of drug treatment [Liver B]
Gaining understanding of common complex diseases and their treatments are the main drivers for life sciences. As we show here, comprehensive protein set analyses offer new opportunities to decipher functional molecular networks of diseases and assess the efficacy and side-effects of treatments in vi...
ORGANISM(S): Mus musculus 
2013-09-05 | E-GEOD-38854 | biostudies-arrayexpress
TranscriptomicsProtein sets define disease states and predict in vivo effects of drug treatment [WAT]
Gaining understanding of common complex diseases and their treatments are the main drivers for life sciences. As we show here, comprehensive protein set analyses offer new opportunities to decipher functional molecular networks of diseases and assess the efficacy and side-effects of treatments in vi...
ORGANISM(S): Mus musculus 
2013-09-05 | E-GEOD-38855 | biostudies-arrayexpress
TranscriptomicsProtein sets define disease states and predict in vivo effects of drug treatment [heart]
Gaining understanding of common complex diseases and their treatments are the main drivers for life sciences. As we show here, comprehensive protein set analyses offer new opportunities to decipher functional molecular networks of diseases and assess the efficacy and side-effects of treatments in vi...
ORGANISM(S): Mus musculus 
2013-09-05 | E-GEOD-38852 | biostudies-arrayexpress
TranscriptomicsProtein sets define disease states and predict in vivo effects of drug treatment
This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
ORGANISM(S): Mus musculus 
2013-09-05 | E-GEOD-38856 | biostudies-arrayexpress
TranscriptomicsAmorfrutins are selective PPARM-NM-3 agonists with potent antidiabetic properties
Faced by an alarming incidence of metabolic diseases including obesity and type 2 diabetes worldwide, there is an urgent need for effective strategies for preventing and treating these common diseases. The nuclear receptor PPARM-NM-3 (peroxisome proliferator-activated receptor gamma) plays a crucial...
ORGANISM(S): Homo sapiens 
2012-05-01 | E-GEOD-28384 | biostudies-arrayexpress
Proteomics3T3_L1_only1
3T3-L1 preadipocytes monolayer; Silac labeled; Replicate 1
ORGANISM(S): Mus Musculus 
2013-12-31 | PAe005137 | PeptideAtlas
Proteomics3T3_L1_RAW_bilayer2_2
3T3-L1 preadipocytes and RAW 264.7 macrophages bilayer; Silac labeled; Replicate 2, sample 2
ORGANISM(S): Mus Musculus 
2013-12-31 | PAe005149 | PeptideAtlas
Proteomics3T3_L1_RAW_bilayer_Phospho
3T3-L1 preadipocytes and RAW 264.7 macrophages bilayer; Silac labeled; Phosphopeptide enrichment
ORGANISM(S): Mus Musculus 
2013-12-31 | PAe005148 | PeptideAtlas
ProteomicsMm_macrophages_silac_R1
RAW 264.7 macrophages monolayer; Silac labeled; Replicate 1
ORGANISM(S): Mus Musculus 
2013-12-31 | PAe005142 | PeptideAtlas
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