Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23819827.fastq.gz | Fastqsanger.gz | |||
| SRR23819828.fastq.gz | Fastqsanger.gz | |||
| SRR23819829.fastq.gz | Fastqsanger.gz | |||
| SRR23819830.fastq.gz | Fastqsanger.gz | |||
| SRR23819831.fastq.gz | Fastqsanger.gz |
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Project description:Bats are tolerant to highly pathogenic viruses such as Marburg, Ebola, and Nipah, suggesting the presence of a unique immune tolerance toward viral infection. Here, we compared SARS-CoV-2 infection of human and bat (Rhinolophus ferrumequinum) pluripotent cells and fibroblasts. Since bat cells do not express an ACE2 receptor that allows virus infection, we transduced the human ACE2 receptor into the cells and found that transduced cells can be infected with SARS-CoV-2. Compared to human ESCs-hA, infected bat iPSCs-hA produced about a 100-fold lower level of infectious virus and displayed lower toxicity. In contrast, bat fibroblasts (BEF-hA) produced no infectious virus while being infectable and synthesizing viral RNA and proteins, suggesting abortive infection. Indeed, electron microscopy failed to detect virus-like particles in infected bat fibroblasts in contrast to bat iPSCs or human cells, consistent with the latter producing infectious viruses. This suggests that bat somatic but not pluripotent cells have an effective mechanism to control virus replication. Consistent with previous results by others, we find that bat cells have a constitutively activated innate immune system, which might limit SARS-CoV-2 infection compared to human cells.
2024-10-15 | GSE274964 | GEO
Project description:<p>Plants produce thousands of compounds, collectively called the metabolome, which mediate interactions with other organisms. The metabolome of an individual plant may change according to the number and nature of these interactions. We tested the hypothesis that tree diversity level affects the metabolome of four subtropical tree species in a biodiversity ecosystem-functioning experiment, BEF-China. We postulated that the chemical diversity of leaves, roots and root exudates increases with tree diversity. We expected the strength of this diversity effect to differ among leaf, root and root exudates samples. Considering their role in plant competition, we expected to find the strongest effects in root exudates. In an ecometabolomics approach, roots, root exudates and leaves of four tree species (Cinnamomum camphora, Cyclobalanopsis glauca, Daphniphyllum oldhamii, Schima superba) were sampled from selected plots in BEF-China. Samples were extracted and analysed using Liquid Chromatography-Time of Flight-Mass Spectrometry. The exudate metabolomes were normalized over their non-purgeable organic carbon level. Multivariate analyses were applied to identify the effect of both neighbouring (local) trees and plot diversity on tree metabolomes. The species and sample specific metabolites were assigned to major compound classes using the ClassyFire tool, whereas m/z features related to diversity effects were annotated manually. Individual tree species showed distinct leaf, root and root exudate metabolomes. The main compound class in leaves were the flavonoids, whereas carboxylic acids, prenol lipids and specific alkaloids were most prominent in root exudates and roots. Overall plot diversity had a stronger effect on metabolome profiles than the diversity of local, directly neighbouring trees. Leaf metabolomes responded more often to tree diversity level than exudates, whereas root metabolomes varied the least. We found not overall correlation between metabolite richness or diversity and tree diversity. Synthesis: Classification of metabolites supported initial ecological interpretation of differences among species and organs. Particularly the metabolomes of leaves and root exudates respond to differences in tree diversity. These responses were neither linear nor uniform and individual metabolites showed different dynamics. More controlled interaction experiments are needed to dissect the causes and consequences of the observed shifts in plant metabolomes.</p>
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Project description:This study aims to investigate the DNA methylation patterns at transcription factor binding regions and their evolutionary conservation with respect to binding activity divergence. We combined newly generated bisulfite-sequencing experiments in livers of five mammals (human, macaque, mouse, rat and dog) and matched publicly available ChIP-sequencing data for five transcription factors (CEBPA, HNF4a, CTCF, ONECUT1 and FOXA1). To study the chromatin contexts of TF binding subjected to distinct evolutionary pressures, we integrated publicly available active promoter, active enhancer and primed enhancer calls determined by profiling genome wide patterns of H3K27ac, H3K4me3 and H3K4me1.
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