| 1. |
- Bellone, Rebecca R, et al.
(author)
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Fine-mapping and mutation analysis of TRPM1 : a candidate gene for leopard complex (LP) spotting and congenital stationary night blindness in horses
- 2010
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In: Briefings in Functional Genomics & Proteomics. - : Oxford University Press (OUP). - 1473-9550 .- 1477-4062 .- 2041-2649 .- 2041-2657. ; 9:3, s. 193-207
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Journal article (peer-reviewed)abstract
- Leopard Complex spotting occurs in several breeds of horses and is caused by an incompletely dominant allele (LP). Homozygosity for LP is also associated with congenital stationary night blindness (CSNB) in Appaloosa horses. Previously, LP was mapped to a 6 cm region on ECA1 containing the candidate gene TRPM1 (Transient Receptor Potential Cation Channel, Subfamily M, Member 1) and decreased expression of this gene, measured by qRT-PCR, was identified as the likely cause of both spotting and ocular phenotypes. This study describes investigations for a mutation causing or associated with the Leopard Complex and CSNB phenotype in horses. Re-sequencing of the gene and associated splice sites within the 105 624 bp genomic region of TRPM1 led to the discovery of 18 SNPs. Most of the SNPs did not have a predictive value for the presence of LP. However, one SNP (ECA1:108,249,293 C>T) found within intron 11 had a strong (P < 0.0005), but not complete, association with LP and CSNB and thus is a good marker but unlikely to be causative. To further localize the association, 70 SNPs spanning over two Mb including the TRPM1 gene were genotyped in 192 horses from three different breeds segregating for LP. A single 173 kb haplotype associated with LP and CSNB (ECA1: 108,197,355- 108,370,150) was identified. Illumina sequencing of 300 kb surrounding this haplotype revealed 57 SNP variants. Based on their localization within expressed sequences or regions of high sequence conservation across mammals, six of these SNPs were considered to be the most likely candidate mutations. While the precise function of TRPM1 remains to be elucidated, this work solidifies its functional role in both pigmentation and night vision. Further, this work has identified several potential regulatory elements of the TRPM1 gene that should be investigated further in this and other species.
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| 2. |
- Buijs, J, et al.
(author)
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SPR-MS in Functional Proteomics
- 2005
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In: Briefings in Functional Genomics and Proteomics. - : Oxford University Press (OUP). - 1473-9550 .- 1477-4062. ; 4:1, s. 39-47
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Journal article (peer-reviewed)abstract
- The mapping of protein networks and the establishment of the functional relationships between expressed proteins and their effects on cellular processes represents a great challenge for functional or interaction proteomics. The combination of surface plasmon resonance (SPR)-based technology with mass spectrometry (MS) has created a unique analytical tool for functional proteomics investigations. Proteins are affinity purified, quantified and characterised in terms of their interactions, while the mass spectrometer identifies and structurally characterises the biomolecules. Recent developments have led to a closer integration of these key technologies, providing a combined approach which enables identification of proteins selected on the basis of their functional binding criteria. In addition to a historical overview of this field, some recent detailed examples of combined SPR-MS approaches will be reviewed in a number of key application areas, including ligand fishing, peptide sequence and post-translational modification analysis by SPR-MS/MS and enzyme inhibitor screening.
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| 3. |
- Hall, David, et al.
(author)
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Using association mapping to dissect the genetic basis of complex traits in plants
- 2010
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In: Briefings in Functional Genomics & Proteomics. - : Oxford University Press (OUP). - 1473-9550 .- 1477-4062 .- 2041-2649 .- 2041-2657. ; 9:2, s. 157-165
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Journal article (peer-reviewed)abstract
- Association or linkage disequilibrium mapping has become a very popular method for dissecting the genetic basis of complex traits in plants. The benefits of association mapping, compared with traditional quantitative trait locus mapping, is, for example, a relatively detailed mapping resolution and that it is far less time consuming since no mapping populations need to be generated. The surge of interest in association mapping has been fueled by recent developments in genomics that allows for rapid identification and scoring of genetic markers which has traditionally limited mapping experiments. With the decreasing cost of genotyping future emphasis will likely focus on phenotyping, which can be both costly and time consuming but which is crucial for obtaining reliable results in association mapping studies. In addition, association mapping studies are prone to the identification of false positives, especially if the experimental design is not rigorously controlled. For example, population structure has long been known to induce many false positives and accounting for population structure has become one of the main issues when implementing association mapping in plants. Also, with increasing numbers of genetic markers used, the problem becomes separating true from false positive and this highlights the need for independent validation of identified association. With these caveats in mind, association mapping nevertheless shows great promise for helping us understand the genetic basis of complex traits of both economic and ecological importance.
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