Sex estimation through discriminant function analysis of an archaeological population from Mistihalj, Montenegro

Thesis (M.S.)--Boston UniversityIn an effort to create discriminant function equations for a spatially and temporally specific archaeological population, this study utilized metric analyses of the crania and post-crania in a collection from Mistihalj, Montenegro housed at the Peabody Museum of Archaeology and Ethnology. After the data was collected, discriminant function analyses were performed and used in the creation of univariate and multivariate sectioning points for the purpose of estimating the sex of archaeological populations in this region. It is believed that the equations created will supplement other bioarchaeological methods for sex estimation within archaeological populations of the Balkan region where single skeletal elements or commingled remains may be prominent. This project will also provide a better understanding of sexual dimorphism in Balkan populations, which may ultimately help when working to make a biological profile for an unknown individual in this region. The best univariate measures for sex estimation (ranging from 96% to 85% accuracy) are: maximum diameter of the femur head, sagittal diameter of the radius at midshaft, maximum length of the ulna, maximum vertical diameter of the head of the humerus, biauricular breadth, maximum length of the radius, epicondylar breadth of the femur, anterio-posterior diameter of the femur at midshaft, maximum length of the humerus, maximum length of the calcaneus, bizygomatic breadth, and maximum epiphyseal breadth of the proximal tibia. All multivariate equations achieved classification rates above 85%. The best elements for multivariate analysis (above 90% accuracy) are: femur, radius, humerus, cranium, tibia, and ulna. Unexpectedly, two cranial measures are among the most accurate univariate measures, and the cranium provided higher classification rates than expected in comparison to post-cranial elements in the multivariate analyses. The multivariate equations created are only applicable if every measure/landmark required is present on the skeleton in question. As there is often differential preservation of skeletal elements, the use of multiple univariate sectioning points may be better on moderately or very poorly preserved remains

The Somatic Genomic Landscape of Glioblastoma

We describe the landscape of somatic genomic alterations based on multi-dimensional and comprehensive characterization of more than 500 glioblastoma tumors (GBMs). We identify several novel mutated genes as well as complex rearrangements of signature receptors including EGFR and PDGFRA. TERT promoter mutations are shown to correlate with elevated mRNA expression, supporting a role in telomerase reactivation. Correlative analyses confirm that the survival advantage of the proneural subtype is conferred by the G-CIMP phenotype, and MGMT DNA methylation may be a predictive biomarker for treatment response only in classical subtype GBM. Integrative analysis of genomic and proteomic profiles challenges the notion of therapeutic inhibition of a pathway as an alternative to inhibition of the target itself. These data will facilitate the discovery of therapeutic and diagnostic target candidates, the validation of research and clinical observations and the generation of unanticipated hypotheses that can advance our molecular understanding of this lethal cancer

Role of NK-like CD8+ T cells during asymptomatic Borrelia burgdorferi infection

Lyme disease (LD) due to Borrelia burgdorferi is the most prevalent vector-borne disease in the United States. There is a poor understanding of how immunity contributes to bacterial control, pathology, or both during LD. Dogs in an area of endemicity were screened for B. burgdorferi an

Condensin Regulates the Stiffness of Vertebrate Centromeres

When chromosomes are aligned and bioriented at metaphase, the elastic stretch of centromeric chromatin opposes pulling forces exerted on sister kinetochores by the mitotic spindle. Here we show that condensin ATPase activity is an important regulator of centromere stiffness and function. Condensin depletion decreases the stiffness of centromeric chromatin by 50% when pulling forces are applied to kinetochores. However, condensin is dispensable for the normal level of compaction (rest length) of centromeres, which probably depends on other factors that control higher-order chromatin folding. Kinetochores also do not require condensin for their structure or motility. Loss of stiffness caused by condensin-depletion produces abnormal uncoordinated sister kinetochore movements, leads to an increase in Mad2(+) kinetochores near the metaphase plate and delays anaphase onset

Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts.The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that -80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAFPeer reviewe

Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

The genome of the sea urchin Strongylocentrotus purpuratus

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