Project description:After characterizing super-enhancer-associated chromatin dynamics accompanied by malignant progression of skin stem cells, we show that ETS family members auto-regulate themselves and a cohort of cancer-associated super-enhancer transcription factors which together are essential for tumor maintenance. Mouse skin squamouse cell carcinoma (SCC) tumor-initiating stem cells (SCs) were FACS-purified for ChIP-sequencing.
Project description:Purpose: High-throughput RNA sequencing has accelerated discovery of the complex regulatory roles of small RNAs, such those derived from tRNAs. Also recent advances in high-throughput RNA sequencing has revealed the complex RNA modification landscape and the complex role these nucleosides modifactions have in cell signalling, stem cell biology, development and cancer. The goal of this study is to establish how m5C-tRNA methylation and tRNA-derived small RNAs can affect stem cell fucntion in cancer. Methods: four replicates of tRNAs and RNA buisulphite sequencing of wild-type (WT) and NSun2 -/- mouse skin squamous tumours were generated by deep sequencing, using Illumina HiSeq platform. Results: Our analyses reveal that inhibition of post-transcriptional cytosine-5 methylation locks stem cells in this distinct translational inhibition programme that results in tumour progression but that also sentizes cancer cells to genotoxic stress. Transfer RNA (tRNA) sequencing and RNA Bisulphite sequencing of wild-type (WT) and NSun2 -/- mouse skin squamous tumours
Project description:The skin commensal yeast Malassezia is associated with several skin disorders. To establish a reference resource, we sought to determine the complete genome sequence of Malassezia sympodialis and identify its protein-coding genes. A novel genome annotation workflow combining RNA sequencing, proteomics, and manual curation was developed to determine gene structures with high accuracy.
Project description:Denmark has an extraordinarily large and well-preserved collection of archaeological skin garments found in peat bogs, dated to approximately 920 BC - AD 775. These objects provide not only the possibility to study prehistoric skin costume and technologies, but also to investigate the animal species used for production of skin garments. Until recently, species identification of archaeological skin was mainly performed by light and scanning electron microscopy or analysis of ancient DNA. However, the efficacy of these methods can be limited due to the harsh, mostly acidic environment of peat bogs leading to morphological and molecular degradation within the samples. We compared species assignment results of twelve archaeological skin samples from Danish bogs using Mass Spectrometry (MS)-based peptide sequencing, against results obtained using light and scanning electron microscopy
Project description:The species-specific identification of fibre origin is essential in archaeology but reveals challenging for closely related species. This is particularly true between the four South American Camelids (SAC) species: alpaca, guanaco, llama and vicuña. The analysis of proteins extracted from hairs and/or yarns by proteomics has emerged as a powerful method to differentiate between species. However, for SAC, the database information available is very poor, which limits this approach. In this study, we analysed 42 modern and 4 archaeological reference samples from the four SAC species.