ArticleJournal of diabetes science and technology2010
Proteomic technologies for the discovery of type 1 diabetes biomarkers.
Article in Journal of diabetes science and technology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Plasma proteomics in children with new-onset type 1 diabetes identifies new potential biomarkers of partial remission.Scientific reports · 2024Article
- Mendelian randomization identifies circulating proteins as biomarkers for age at menarche and age at natural menopause.Communications biology · 2024Article
- Serum biomarkers for diagnosis and prediction of type 1 diabetes.Translational research : the journal of laboratory and clinical medicine · 2018Review
- Blood-based signatures in type 1 diabetes.Diabetologia · 2016Review
- Large-Scale Discovery and Validation Studies Demonstrate Significant Reductions in Circulating Levels of IL8, IL-1Ra, MCP-1, and MIP-1β in Patients With Type 1 Diabetes.The Journal of clinical endocrinology and metabolism · 2015Article
- Luminex and other multiplex high throughput technologies for the identification of, and host response to, environmental triggers of type 1 diabetes.BioMed research international · 2015Review
- Farm animal serum proteomics and impact on human health.International journal of molecular sciences · 2014Review
- Proteomics and systems biology for understanding diabetic nephropathy.Journal of cardiovascular translational research · 2012Review
- Novel biomarkers in type 1 diabetes.The review of diabetic studies : RDS · 2012Review
- Discovery and validation of serum protein changes in type 1 diabetes patients using high throughput two dimensional liquid chromatography-mass spectrometry and immunoassays.Molecular & cellular proteomics : MCP · 2011Article
- Peripheral blood monocyte-expressed ANXA2 gene is involved in pathogenesis of osteoporosis in humans.Molecular & cellular proteomics : MCP · 2011Article
- Advances and challenges in biomarker development for type 1 diabetes prediction and prevention using omic technologies.Expert opinion on medical diagnostics · 2010Article
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Authors and funding
5 authors.
Funding
Abstract
In this review, we discuss several important issues concerning the discovery of protein biomarkers for complex human diseases, with a focus on type 1 diabetes. Serum or plasma is the first choice of specimen due to its richness in biological information and relatively easy availability. It is a challenging task to comprehensively characterize the serum/plasma proteome because of the large dynamic range of protein concentration. Therefore, sample pretreatment is required in order to explore the low- to medium-abundance proteins contained in serum/plasma. In this regard, enrichment of low-abundance proteins using random hexapeptide library beads has distinct advantages over the traditional immune-depletion methods, including higher efficiency, higher binding capacity, and lower cost. In-depth mining of serum/plasma proteome using different separation techniques have also been evaluated and are discussed in this review. Overall, the shotgun proteomics-multidimensional separation of digested peptides followed by mass spectrometry analysis--is highly efficient and therefore has become a preferred method for protein biomarker discovery.
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