ArticleJournal of proteome research2008
Global relationship between the proteome and transcriptome of human skeletal muscle.
Article in Journal of proteome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
23 citing papers in PubMed, 39 citations in OpenAlex.
- Loss of the matrix metalloproteinase-10 causes premature features of aging in satellite cells.Frontiers in cell and developmental biology · 2023Article
- The Mitochondrial Proteomic Signatures of Human Skeletal Muscle Linked to Insulin Resistance.International journal of molecular sciences · 2020Review
- Striated muscle-specific serine/threonine-protein kinase beta segregates with high versus low responsiveness to endurance exercise training.Physiological genomics · 2020Article
- Skeletal muscle DNA methylation modifications and psychopharmacologic treatment in bipolar disorder.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2019Article
- Dicarbonyl Stress and Glyoxalase-1 in Skeletal Muscle: Implications for Insulin Resistance and Type 2 Diabetes.Frontiers in cardiovascular medicine · 2018Review
- Skeletal muscle signal peptide optimization for enhancing propeptide or cytokine secretion.Journal of theoretical biology · 2016Article
- Transcriptomics in type 2 diabetes: Bridging the gap between genotype and phenotype.Genomics data · 2016Article
- Article
- Applying mass spectrometry-based qualitative proteomics to human amygdaloid complex.Frontiers in cellular neuroscience · 2014Article
- The Ups and Downs of Insulin Resistance and Type 2 Diabetes: Lessons from Genomic Analyses in Humans.Current cardiovascular risk reports · 2013Article
- Functional classification of skeletal muscle networks. I. Normal physiology.Journal of applied physiology (Bethesda, Md. : 1985) · 2012Article
- Novel tyrosine phosphorylation sites in rat skeletal muscle revealed by phosphopeptide enrichment and HPLC-ESI-MS/MS.Journal of proteomics · 2012Article
- Characterization of human myotubes from type 2 diabetic and nondiabetic subjects using complementary quantitative mass spectrometric methods.Molecular & cellular proteomics : MCP · 2011Article
- Label-free proteomic identification of endogenous, insulin-stimulated interaction partners of insulin receptor substrate-1.Journal of the American Society for Mass Spectrometry · 2011Article
- Article
- Skeletal muscle proteomics: current approaches, technical challenges and emerging techniques.Skeletal muscle · 2011Article
- Computational identification of root hair-specific genes in Arabidopsis.Plant signaling & behavior · 2010Article
- Human ATP synthase beta is phosphorylated at multiple sites and shows abnormal phosphorylation at specific sites in insulin-resistant muscle.Diabetologia · 2010Article
- Proteomics analysis of human skeletal muscle reveals novel abnormalities in obesity and type 2 diabetes.Diabetes · 2010Article
- In vivo phosphoproteome of human skeletal muscle revealed by phosphopeptide enrichment and HPLC-ESI-MS/MS.Journal of proteome research · 2009Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Skeletal muscle is one of the largest tissues in the human body. Changes in mRNA and protein abundance in this tissue are central to a large number of metabolic and other disorders, including, commonly, insulin resistance. Proteomic and microarray analyses are important approaches for gaining insight into the molecular and biochemical basis for normal and pathophysiological conditions. With the use of vastus lateralis muscle obtained from two groups of healthy, nonobese subjects, we performed a detailed comparison of the muscle proteome, obtained by HPLC-ESI-MS/MS, with the muscle transcriptome, obtained using oligonucleotide microarrays. HPLC-ESI-MS/MS analysis identified 507 unique proteins as present in four out of six subjects, while 5193 distinct transcripts were called present by oligonucleotide microarrays from four out of six subjects. The majority of the proteins identified by mass spectrometry also had their corresponding transcripts detected by microarray analysis, although 73 proteins were only identified in the proteomic analysis. Reflecting the high abundance of mitochondria in skeletal muscle, 30% of proteins detected were attributed to the mitochondrion, as compared to only 9% of transcripts. On the basis of Gene Ontology annotations, proteins assigned to mitochondrial inner membrane, mitochondrial envelope, structural molecule activity, electron transport, as well as generation of precursor metabolites and energy, had more corresponding transcripts detected than would be expected by chance. On the contrary, proteins assigned to Golgi apparatus, extracellular region, lyase activity, kinase activity, and protein modification process had fewer corresponding transcripts detected than would be expected by chance. In conclusion, these results provide the first global comparison of the human skeletal muscle proteome and transcriptome to date. These data show that a combination of proteomic and transcriptic analyses will provide data that can be used to test hypotheses regarding the pathogenesis of muscle disorders as well as to generate observational data that can be used to form novel hypotheses.
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