With a world population living longer as well as marked disparities in life expectancy, understanding the determinants of longevity is one of the priority research agendas in 21st century life sciences. To this end, the blind mole-rat ( Spalax leucodon ), a subterranean mammalian, has emerged as an exceptional model organism due to its astonishing features such as remarkable longevity, hypoxia and hypercapnia tolerance, and cancer resistance. The microbiome has been found to be a vital parameter for cellular physiology and it is safe to assume that it has an impact on life expectancy. Although the unique characteristics of Spalax make it an ideal experimental model for longevity research, there is limited knowledge of the bacterial composition of Spalax microbiome, which limits its in-depth utilization. In this study, using 16S rRNA amplicon sequencing, we report the gut and skin bacterial structure of Spalax for the first time. The diversity between fecal and skin samples was manifested in the distant clustering, as revealed by beta diversity analysis. Importantly, the longevity-linked Muribaculaceae bacterial family was found to be the dominating bacterial taxa in Spalax fecal samples. These new findings contribute toward further development of Spalax as a model for longevity research and potential linkages between microbiome composition and longevity.

Axolotl (Ambystoma mexicanum) is a urodele amphibian endowed with remarkable regenerative capacities manifested in scarless wound healing and restoration of amputated limbs, which makes it a powerful experimental model for regenerative biology and medicine. Previous studies have utilized microarrays and RNA-Seq technologies for detecting differentially expressed (DE) genes in different phases of the axolotl limb regeneration. However, sufficient consistency may be lacking due to statistical limitations arising from intra-laboratory analyses. This study aims to bridge such gaps by performing an integrative analysis of publicly available microarray and RNA-Seq data from axolotl limb samples having comparable study designs using the “merging” method. A total of 351 genes were found DE in regenerative samples compared to the control in data of both technologies, showing an adjusted p-value < 0.01 and log fold change magnitudes >1. Downstream analyses illustrated consistent correlations of the directionality of DE genes within and between data of both technologies, as well as concordance with the literature on regeneration related biological processes. qRT-PCR analysis validated the observed expression level differences of five of the top DE genes. Future studies may benefit from the utilized concept and approach for enhanced statistical power and robust discovery of biomarkers of regeneration.

Glioblastoma multiform (GBM) is one of the most severe tumor types. It is highly invasive and characterized as a grade IV neoplastic cancer. Its resistance to chemotherapy-temozolomide (TMZ treatment)-in combination with tumor treating fields (TTFields), limits the cure of GBM. Therefore researchers are searching for new treatment options to increase the length of recurrence time and improve overall survival for GBM patients. Several cell lines have been established and are in use to understand the molecular basis of GBM and to test the developed drugs. On one hand, it is highly advantageous to utilize multiple cell lines with different genetic backgrounds to gain more insight into the characterization and treatment of the disease. However, on the other hand, characteristics of these cell lines such as proliferation rate, invasion, and colony formation capacity differ greatly among these cells. Hence, a detailed comparison concerning molecular and cellular features of commonly used cell lines is essential. In this study, cell proliferation and apoptosis rate, cell migration capacity, and gene expression profile of U87, Ln229, and SvGp12 cells have been investigated and compared.