Project description:Paget disease of bone (PDB) is a chronic skeletal disorder with contemporary cases characterised by one or a few affected bones in individuals over 55 years of age. PDB-like changes have been noted in archaeological remains as old as Roman although accurate diagnoses and knowledge of the natural history of ancient forms of the disease are lacking. Previous macroscopic and radiographic analyses of six skeletons from a collection of 130 excavated at Norton Priory in Cheshire, UK, and dating to late Medieval times, noted unusually extensive pathological changes resembling PDB affecting up to 75% of individual skeletons. Here we report the prevalence of the disease in the collection is also remarkably high (at least 15.8% of the adult sample) with age-at-death estimations as low as 35 years. Despite these profound phenotypic differences paleoproteomic analyses identified SQSTM1/p62 (p62), a protein central to the pathological milieu of classical PDB, as one of the few non-collagenous human sequences preserved in skeletal samples, indicating that the disorder was likely an ancient precursor of contemporary PDB. Western blotting indicated abnormal migration of ancient p62 protein, with subsequent targeted proteomic analyses detecting more than 60% of the p62 primary sequence and directing sequencing analyses of ancient DNA that excluded contemporary PDB-associated SQSTM1 mutations. Together our observations indicate the ancient p62 protein is likely modified within its C-terminal ubiquitin-associated (UBA) domain. Ancient miRNAs were also remarkably well preserved in an osteosarcoma from a skeleton with extensive disease, with miR-16 expression changes consistent with that reported in contemporary PDB-associated bone tumours. Our work demonstrates the potential of proteomics to inform diagnoses of ancient disease and supports the proposal that Medieval Norton Priory was a ‘hotspot’ for an ancient form of PDB, with unusual features presumably potentiated by as yet unidentified environmental or genetic factors.
Project description:Isotope analyses are some of the most common analytical methods applied to ancient bone, aiding the interpretation of past diets and chronology. For this, the evaluation of “collagen” yield is a routine step that allows for the selection of the specimens that are adequate for subsequent analyses, and samples with below ~1% yield normally discarded. Additionally, during the “collagen extraction” procedure, several sample fractions are generated and subsequently discarded but could contain proteins of analytical interest. In this study we evaluated the proteome variability of different fractions generated during the “collagen extraction” process of 29 samples, and their correlation with the collagen yield. We found that these fractions contained a significant amount of both collagenous and non-collagenous protein (NCP) spectra and that these were not correlated with the collagen yield. The variety of the extracted NCPs was comparable with that normally obtained from ancient samples, and the information obtained can be used to conduct species identification, phylogenetic studies, isotopic analyses and may be used to perform radiocarbon dating on the specimens. Overall, these findings suggest that not only is there value in retaining the fractions typically discarded as waste, but that low collagen yield specimens can still yield useful information.
Project description:In women, estrogen deficiency after menopause frequently accelerates osteoclastic bone resorption, leading to osteoporosis, the most common skeletal disorder. However, mechanisms underlying osteoporosis resulting from estrogen deficiency remain largely unknown. To gain new insights into the impact of estrogen on bone marrow B cells, we used high-throughput sequencing to analyze global estrogen transcriptional networks in WT bone marrow B cells under hypoxic culture.
Project description:Morphological identification of ancient bone is often problematic due to heavy fragmentation that generally influences zooarchaeological assemblages. Fish bones are more taphonomically sensitive than those of other vertebrates as they are typically smaller and less biomineralised. Thus, taxonomic identification based on the preservation of morphological features is often extremely limited and can reduce or eliminate the usefulness of an assemblage for inferring taxon information. Currently, one of the most time- and cost-efficient methods of achieving faunal identity from ancient bone is by the collagen fingerprinting technique known as ZooMS (Zooarchaeology by Mass Spectrometry). ZooMS harnesses the potential of preserved collagen, which is the most dominant and time-stable protein in bone. In this research, ZooMS is applied to ancient Baltic region fish assemblages that are between 500 and 6000 years old in order to define species identity and construct assemblage compositions. Alongside inferences into environmental and biological shifts from the Neolithic era to present day in the Baltic region, we demonstrate for the first time the ability to distinguish between recently diverged members of the Salmo (salmon) and Scophthalmus (turbot) genera. ZooMS analysis highlights 7% of the collagen-containing assemblage as having been morphologically identified incorrectly and has facilitated taxonomic refinement of a further 28% of samples, including some of the morphologically indeterminate bone fragments. This research emphasises the great potential of ZooMS in identifying ichthyoarchaeological bone remains to species-level, and provides a case for the use of collagen fingerprinting in contributing to baseline fisheries and ecological data, to inform modern management.
Project description:Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social communication deficits and repetitive behaviors. MicroRNAs (miRNAs) have been recently recognized as potential biomarkers of ASD as they are dysregulated in various tissues of individuals with ASD. However, it remains unclear whether miRNA expression is altered in individuals with high-functioning ASD. Here, we investigated the miRNA expression profile in peripheral blood from adults with high-functioning ASD, and age and gender-matched healthy controls. Our findings may provide insights regarding the molecular clues for recognizing high-functioning ASD.