Duplication and Diversification of the Hypoxia-Inducible IGFBP-1 Gene in Zebrafish

Gene duplication is the primary force of new gene evolution. Deciphering whether a pair of duplicated genes has evolved divergent functions is often challenging. The zebrafish is uniquely positioned to provide insight into the process of functional gene evolution due to its amenability to genetic and experimental manipulation and because it possess a large number of duplicated genes.We report the identification and characterization of two hypoxia-inducible genes in zebrafish that are co-ortholgs of human IGF binding protein-1 (IGFBP-1). IGFBP-1 is a secreted protein that binds to IGF and modulates IGF actions in somatic growth, development, and aging. Like their human and mouse counterparts, in adult zebrafish igfbp-1a and igfbp-1b are exclusively expressed in the liver. During embryogenesis, the two genes are expressed in overlapping spatial domains but with distinct temporal patterns. While zebrafish IGFBP-1a mRNA was easily detected throughout embryogenesis, IGFBP-1b mRNA was detectable only in advanced stages. Hypoxia induces igfbp-1a expression in early embryogenesis, but induces the igfbp-1b expression later in embryogenesis. Both IGFBP-1a and -b are capable of IGF binding, but IGFBP-1b has much lower affinities for IGF-I and -II because of greater dissociation rates. Overexpression of IGFBP-1a and -1b in zebrafish embryos caused significant decreases in growth and developmental rates. When tested in cultured zebrafish embryonic cells, IGFBP-1a and -1b both inhibited IGF-1-induced cell proliferation but the activity of IGFBP-1b was significantly weaker.These results indicate subfunction partitioning of the duplicated IGFBP-1 genes at the levels of gene expression, physiological regulation, protein structure, and biological actions. The duplicated IGFBP-1 may provide additional flexibility in fine-tuning IGF signaling activities under hypoxia and other catabolic conditions

Rare and low-frequency coding variants alter human adult height

Height is a highly heritable, classic polygenic trait with ~700 common associated variants identified so far through genome - wide association studies . Here , we report 83 height - associated coding variants with lower minor allele frequenc ies ( range of 0.1 - 4.8% ) and effects of up to 2 16 cm /allele ( e.g. in IHH , STC2 , AR and CRISPLD2 ) , >10 times the average effect of common variants . In functional follow - up studies, rare height - increasing alleles of STC2 (+1 - 2 cm/allele) compromise d proteolytic inhibition of PAPP - A and increased cleavage of IGFBP - 4 in vitro , resulting in higher bioavailability of insulin - like growth factors . The se 83 height - associated variants overlap genes mutated in monogenic growth disorders and highlight new biological candidates ( e.g. ADAMTS3, IL11RA, NOX4 ) and pathways ( e.g . proteoglycan/ glycosaminoglycan synthesis ) involved in growth . Our results demonstrate that sufficiently large sample sizes can uncover rare and low - frequency variants of moderate to large effect associated with polygenic human phenotypes , and that these variants implicate relevant genes and pathways

Supplementary Material for: Performance Comparison of Affymetrix SNP6.0 and Cytogenetic 2.7M Whole-Genome Microarrays in Complex Cancer Samples

The Affymetrix cytogenetic 2.7M whole-genome microarray (Cyto2.7M) detects genomic aberrations. The Cyto2.7M array has increased coverage in regions with cancer-related genes, ∼4-fold reduced processing time, and 5-fold reduced input requirements (100 ng) compared to the commonly used Affymetrix SNP6.0 genome-wide microarray (SNP6.0). We set out to compare the performance of these microarrays on cancer samples containing complex genomic changes. We analyzed genomic DNA from 8 lymphoma samples and 1 blood sample using both SNP6.0 and Cyto2.7M microarrays. We compared the arrays with respect to 4 parameters, including detection of copy number variations (CNV), CNV boundaries, the actual copy number (CN) assigned to the aberrations, and loss of heterozygosity. The CN state of selected regions was validated by quantitative PCR. Very high consistency between arrays on all parameters tested was observed, hence only 30 of 224 aberrations disagreed on the CN state, corresponding to a total of ∼12 Mb or 0.06% of the analyzed base pairs. Thus, the SNP6.0 and Cyto2.7M arrays are equally well suited to detect genomic aberrations in complex samples such as cancer samples. With reduced processing time and lower input requirements, the Cyto2.7M array enables genomic analysis of samples where only limited DNA is available

Supplementary Material for: Performance Comparison of Affymetrix SNP6.0 and Cytogenetic 2.7M Whole-Genome Microarrays in Complex Cancer Samples

The Affymetrix cytogenetic 2.7M whole-genome microarray (Cyto2.7M) detects genomic aberrations. The Cyto2.7M array has increased coverage in regions with cancer-related genes, ∼4-fold reduced processing time, and 5-fold reduced input requirements (100 ng) compared to the commonly used Affymetrix SNP6.0 genome-wide microarray (SNP6.0). We set out to compare the performance of these microarrays on cancer samples containing complex genomic changes. We analyzed genomic DNA from 8 lymphoma samples and 1 blood sample using both SNP6.0 and Cyto2.7M microarrays. We compared the arrays with respect to 4 parameters, including detection of copy number variations (CNV), CNV boundaries, the actual copy number (CN) assigned to the aberrations, and loss of heterozygosity. The CN state of selected regions was validated by quantitative PCR. Very high consistency between arrays on all parameters tested was observed, hence only 30 of 224 aberrations disagreed on the CN state, corresponding to a total of ∼12 Mb or 0.06% of the analyzed base pairs. Thus, the SNP6.0 and Cyto2.7M arrays are equally well suited to detect genomic aberrations in complex samples such as cancer samples. With reduced processing time and lower input requirements, the Cyto2.7M array enables genomic analysis of samples where only limited DNA is available

Supplementary Material for: Performance Comparison of Affymetrix SNP6.0 and Cytogenetic 2.7M Whole-Genome Microarrays in Complex Cancer Samples

The Affymetrix cytogenetic 2.7M whole-genome microarray (Cyto2.7M) detects genomic aberrations. The Cyto2.7M array has increased coverage in regions with cancer-related genes, ∼4-fold reduced processing time, and 5-fold reduced input requirements (100 ng) compared to the commonly used Affymetrix SNP6.0 genome-wide microarray (SNP6.0). We set out to compare the performance of these microarrays on cancer samples containing complex genomic changes. We analyzed genomic DNA from 8 lymphoma samples and 1 blood sample using both SNP6.0 and Cyto2.7M microarrays. We compared the arrays with respect to 4 parameters, including detection of copy number variations (CNV), CNV boundaries, the actual copy number (CN) assigned to the aberrations, and loss of heterozygosity. The CN state of selected regions was validated by quantitative PCR. Very high consistency between arrays on all parameters tested was observed, hence only 30 of 224 aberrations disagreed on the CN state, corresponding to a total of ∼12 Mb or 0.06% of the analyzed base pairs. Thus, the SNP6.0 and Cyto2.7M arrays are equally well suited to detect genomic aberrations in complex samples such as cancer samples. With reduced processing time and lower input requirements, the Cyto2.7M array enables genomic analysis of samples where only limited DNA is available