Biology subjects

Weis, S.

Publications and source records attributed to Weis, S..

21 records · Page 2Linked to original sources

bioRxiv2019

Sex classification by resting state brain connectivity

1A large amount of brain imaging research has focused on group studies delineating differences between males and females with respect to both cognitive performance as well as structural and functional brain organization. To supplement existing findings, the present study employed a machine learning approach to assess how accurately participants sex can be classified based on spatially specific resting state (RS) brain-connectivity, using two samples from the Human Connectome Project (n1 = 434, n2 = 310) and one fully independent sample from the 1000BRAINS study (n=941). The classifier, which was trained on one sample and tested on the other two, was able to reliably classify sex, both within sample and across independent samples, differing both with respect to imaging parameters and sample characteristics. Brain regions displaying highest sex classification accuracies were mainly located along the cingulate cortex, medial and lateral frontal cortex, temporo-parietal regions, insula and precuneus. These areas were stable across samples and match well with previously described sex differences in functional brain organization. While our data show a clear link between sex and regionally specific brain connectivity, they do not support a clear-cut dimorphism in functional brain organization that is driven by sex alone.

neuroscience↗

bioRxiv2018

Peripheral blood exosomes pass blood-brain-barrier and induce glial cell activation

BackgroundExosomes are involved in intracellular communication and contain proteins, mRNAs, miRNAs, and signaling molecules. Exosomes were shown to act as neuroinflammatory mediators involved in neurodegenerative diseases including Alzheimers disease (AD), Parkinsons disease (PD), amyotrophic lateral sclerosis (ALS). Brain aging has been associated to increased neuroinflammation. In addition, a decreased extracellular vesicle concentration was observed in aging tissues. The specific mechanisms how exosomes and aging are connected are not known yet.\n\nResultsHere we have shown that peripheral injection had almost no effect on selected gene expression in the liver. However, exosome injection has led to changes in the specific markers of glial cell activation (CD68, Iba1, GFAP). Interestingly, only injection of exosomes isolated from aged mice induced significant activation of astrocyte cells, as shown by increased GFAP expression.\n\nConclusionTranscription levels of genes GFAP, TGF-{beta}, CD68, Iba1 known to be involved in glial cell function are significantly changing after introduction of peripheral extracellular vesicles. Exosomes were able to pass blood brain barrier and induce glial cell activation. GFAP known to be a specific astrocyte activation marker was significantly higher expressed after injection of old but not young exosomes, indicating a possible role of exosomes in the mechanisms of brain aging.

neuroscience↗

bioRxiv2017

The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space

Glioblastoma is characterized by widespread genetic and transcriptional heterogeneity, yet little is known about the role of the epigenome in glioblastoma disease progression. Here, we present genome-scale maps of the DNA methylation dynamics in matched primary and recurring glioblastoma tumors, based on a national population registry and a comprehensively annotated clinical cohort. We demonstrate the feasibility of DNA methylation mapping in a large set of routinely collected formalin-fixed paraffin-embedded (FFPE) samples, and we validate bisulfite sequencing as a multi-purpose assay that allowed us to infer a range of different genetic, epigenetic, and transcriptional tumor characteristics. Based on these data, we identified characteristic differences between primary and recurring tumors, links between DNA methylation and the tumor microenvironment, and an association of epigenetic tumor heterogeneity with patient survival. In summary, this study provides a resource for dissecting DNA methylation heterogeneity in genetically diverse and heterogeneous tumors, and it demonstrates the feasibility of integrating epigenomics, radiology, and digital pathology in a representative national cohort, leveraging samples and data collected as part of routine clinical practice.

cancer biology↗