STK25 is a candidate gene for pseudopseudohypoparathyroidism.

We determined the chromosomal location of the mouse gene Stk25, encoding a member of the Ste20/PAK family of serine/threonine kinases, by interspecific backcross analysis. We mapped Stk25 to the central region of mouse chromosome 1 linked to Chrng (formerly Acrg) and En1. This central region of mouse chromosome 1 shares a region of homology with the long arm of human chromosome 2, suggesting that the human homologue of Stk25 would also map to 2q. We proved this prediction of syntenic homology correct by mapping human STK25 to 2q37. Deletion of the 2q37 region has been implicated in the expression of pseudopseudohypoparathyroidism (PPHP), a disease which shares features of the Albright hereditary osteodystrophy (AHO) phenotype. To investigate a pathogenetic relationship between STK25 and PPHP, we carried out fluorescence in situ hybridization (FISH) using an STK25 gene probe and chromosomes from PPHP patients characterized as having small deletions near the distal end of 2q. PPHP patient DNA showed no hybridization to STK25 genomic DNA, indicating that STK25 is contained within the deleted chromosomal region. This finding, in conjunction with previous studies demonstrating the role of Ste20/PAK kinases in heterotrimeric G protein signaling, suggests that STK25 is a positional candidate gene for PPHP.     

A Systems Genetics Approach Identifies CXCL14, ITGAX,and LPCAT2 as Novel Aggressive Prostate Cancer Susceptibility Genes

Although prostate cancer typically runs an indolent course, a subset of men develop aggressive, fatal forms of this disease. We hypothesize that germline variation modulates susceptibility to aggressive prostate cancer. The goal of this work is to identify susceptibility genes using the C57BL/6-Tg(TRAMP)8247Ng/J (TRAMP) mouse model of neuroendocrine prostate cancer. Quantitative trait locus (QTL) mapping was performed in transgene-positive (TRAMPxNOD/ShiLtJ) F2 intercross males (n = 228), which facilitated identification of 11 loci associated with aggressive disease development. Microarray data derived from 126 (TRAMPxNOD/ShiLtJ) F2 primary tumors were used to prioritize candidate genes within QTLs, with candidate genes deemed as being high priority when possessing both high levels of expression-trait correlation and a proximal expression QTL. This process enabled the identification of 35 aggressive prostate tumorigenesis candidate genes. The role of these genes in aggressive forms of human prostate cancer was investigated using two concurrent approaches. First, logistic regression analysis in two human prostate gene expression datasets revealed that expression levels of five genes (CXCL14, ITGAX, LPCAT2, RNASEH2A, and ZNF322) were positively correlated with aggressive prostate cancer and two genes (CCL19 and HIST1H1A) were protective for aggressive prostate cancer. Higher than average levels of expression of the five genes that were positively correlated with aggressive disease were consistently associated with patient outcome in both human prostate cancer tumor gene expression datasets. Second, three of these five genes (CXCL14, ITGAX, and LPCAT2) harbored polymorphisms associated with aggressive disease development in a human GWAS cohort consisting of 1,172 prostate cancer patients. This study is the first example of using a systems genetics approach to successfully identify novel susceptibility genes for aggressive prostate cancer. Such approaches will facilitate the identification of novel germline factors driving aggressive disease susceptibility and allow for new insights into these deadly forms of prostate cancer.     

Detection of virtually all mutations-SSCP (DOVAM-S): a rapid method for mutation scanning with virtually 100% sensitivity.

Dideoxy fingerprinting (ddF) was used as a tool to search for a generic set of conditions with sufficient power to detect virtually all mutations. For each condition tested, a very large sample of mutation-containing, single-stranded segments (about 1500) were analyzed with ddF. Correlation coefficients identified pairs of conditions in which single-strand conformation polymorphism (SSCP) mobilities were poorly correlated. The data strongly suggest that tertiary structure (e.g., base-sugar and sugar-sugar interactions) rather than secondary structure is the predominant determinant of mobility shifts by SSCP. Five conditions were selected with sufficient redundancy to detect all the mutations. The sensitivity of detection of virtually all mutations-SSCP (DOVAM-S) was determined by blinded analyses on samples containing additional mutations scattered throughout the eight exons and splice junctions in the factor IX gene. The factor IX gene sequence (2.5 kb) was scanned in one lane by 15 PCR-amplified segments (125 kb of sequence scanned per gel). All of the 84 single-base substitutions were detected in the blinded analyses, the first consisting of 50 hemizygous mutant and wild-type (WT) samples and the second consisting of 50 heterozygous mutant and WT samples. DOVAM-S is estimated to be five times faster than fluorescent DNA sequencing for the detection of virtually all mutations when the five conditions are applied.     

Paternal investment and status-related child outcomes: timing of father's death affects offspring success

Recent work in human behavioural ecology has suggested that analyses focusing on early childhood may underestimate the importance of paternal investment to child outcomes since such investment may not become crucial until adolescence or beyond. This may be especially important in societies with a heritable component to status, as later investment by fathers may be more strongly related to a child's adult status than early forms of parental investment that affect child survival and child health. In such circumstances, the death or absence of a father may have profoundly negative effects on the adult outcomes of his children that cannot be easily compensated for by the investment of mothers or other relatives. This proposition is tested using a multigenerational dataset from Bangalore, India, containing information on paternal mortality as well as several child outcomes dependent on parental investment during adolescence and young adulthood. The paper examines the effects of paternal death, and the timing of paternal death, on a child's education, adult income, age at marriage and the amount spent on his or her marriage, along with similar characteristics of spouses. Results indicate that a father's death has a negative impact on child outcomes, and that, in contrast to some findings in the literature on father absence, the effects of paternal death are strongest for children who lose their father in late childhood or adolescence.     

MiR-34a/c-Dependent PDGFR-α/β Downregulation Inhibits Tumorigenesis and Enhances TRAIL-Induced Apoptosis in Lung Cancer

Lung cancer is the leading cause of cancer mortality in the world today. Although some advances in lung cancer therapy have been made, patient survival is still poor. MicroRNAs (miRNAs) can act as oncogenes or tumor-suppressor genes in human malignancy. The miR-34 family consists of tumor-suppressive miRNAs, and its reduced expression has been reported in various cancers, including non-small cell lung cancer (NSCLC). In this study, we found that miR-34a and miR-34c target platelet-derived growth factor receptor alpha and beta (PDGFR-α and PDGFR-β), cell surface tyrosine kinase receptors that induce proliferation, migration and invasion in cancer. MiR-34a and miR-34c were downregulated in lung tumors compared to normal tissues. Moreover, we identified an inverse correlation between PDGFR-α/β and miR-34a/c expression in lung tumor samples. Finally, miR-34a/c overexpression or downregulation of PDGFR-α/β by siRNAs, strongly augmented the response to TNF-related apoptosis inducing ligand (TRAIL) while reducing migratory and invasive capacity of NSCLC cells.     

A DNA probe which distinguishes Globodera pallida Pa2/3 from G. rostochiensis Ro1 and other cyst-forming nematodes

Abstract

A small DNA fragment (approx. 350 base pairs) from the genome of the potato cyst nematode Globodera pallida Pa2/3 was cloned in a bacterial plasmid. When used as a probe in dot-blot DNA hybridisations against a range of nematodes, the cloned DNA bound to G. pallida Pa2/3 but not to Globodera rostochiensis Rol. The cereal cyst nematode Heterodera avenae, the clover cyst nematode Heterodera trifolii, the root knot nematodes Meloidogyne hapla and Meloidogyne incognita, and the beet cyst nematode Heterodera schactii did not cross-hybridise. This probe can detect as few as six larvae of G. pallida.     

MtDNA variation in the Altai-Kizhi population of southern Siberia: a synthesis of genetic variation

The native peoples of Gorno Altai in southern Siberia represent a genetically diverse population and have been of great interest to anthropological genetics. In particular, the southern Altaian population is argued to be the best candidate for the New World ancestral population. In this study we sampled Altai-Kizhi from the southern Altaian village of Mendur-Sokkon, analyzed mtDNA RFLP markers and HVS-I sequences, and compared the results to other published mtDNA data from Derenko et al. (2003) and Shields et al. (1993) encompassing the same region. Because each independent study uses different sampling techniques in characterizing gene pools, in this paper we explore the accuracy and reliability of evolutionary studies on human populations. All the major Native American haplogroups (A, B, C, and D) were identified in the Mendur-Sokkon sample, including a single individual belonging to haplogroup X. The most common mtDNA lineages are C (35.7%) and D (13.3%), which is consistent with the haplogroup profiles of neighboring Siberian groups. The Mendur-Sokkon sample exhibits depressed HVS-I diversity values and neutrality test scores, which starkly differs from the Derenko et al. (2003) data set and more closely resembles the results for neighboring south Siberian groups. Furthermore, the multidimensional scaling plot of DA genetic distances does not cluster the Altai samples, showing different genetic affinities with various Asian groups. The findings underscore the importance of sampling strategy in the reconstruction of evolutionary history at the population level.