High-throughput profiling of the mitochondrial proteome using affinity fractionation and automation
β Scribed by Mary F. Lopez; Bruce S. Kristal; Elena Chernokalskaya; Alexander Lazarev; Alex I. Shestopalov; Alla Bogdanova; Myra Robinson
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 385 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0173-0835
No coin nor oath required. For personal study only.
β¦ Synopsis
Recent studies have demonstrated the need for complementing cellular genomic information with specific information on expressed proteins, or proteomics, since the correlation between the two is poor. Typically, proteomic information is gathered by analyzing samples on two-dimensional gels with the subsequent identification of specific proteins of interest by using trypsin digestion and mass spectrometry in a process termed peptide mass fingerprinting. These procedures have, as a rule, been labor-intensive and manual, and therefore of low throughput. The development of automated proteomic technology for processing large numbers of samples simultaneously has made the concept of profiling entire proteomes feasible at last. In this study, we report the initiation of the (eventual) complete profile of the rat mitochondrial proteome by using high-throughput automated equipment in combination with a novel fractionation technique using minispin affinity columns. Using these technologies, approximately one hundred proteins could be identified in several days. In addition, separate profiles of calcium binding proteins, glycoproteins, and hydrophobic or membrane proteins could be generated. Because mitochondrial dysfunction has been implicated in numerous diseases, such as cancer, Alzheimer's disease and diabetes, it is probable that the identification of the majority of mitochondrial proteins will be a beneficial tool for developing drug and diagnostic targets for associated diseases.
π SIMILAR VOLUMES
## Abstract Highβthroughput genomic sequencing and quantitative mass spectrometry (MS)βbased proteomics technology have recently emerged as powerful tools, increasing our understanding of chromatin structure and function. Both of these approaches require substantial investments and expertise in ter
## Abstract Plasma is an important biological material for biomarker discovery. However, the wide dynamic range in protein concentration remains a major challenge. In this paper, we introduce the development of a proteomic platform for analysis of plasma samples. The method utilizes a double fracti