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Jäger, N.

Publications and source records attributed to Jäger, N..

4 recordsLinked to original sources

Bacteria-induced activation of a fungal silent gene cluster is controlled by histone deacetylase Sirtuin E

Filamentous fungi encode an untapped reservoir of natural products whose biosynthesis enzymes are often encoded by gene clusters. The majority of these gene clusters are only activated under distinct environmental conditions such as the presence of distinct neighbouring microorganisms but not under standard laboratory conditions. Previously, we provided evidence for such a scenario with the specific activation of the silent ors gene cluster in the filamentous fungus Aspergillus nidulans by the bacterium Streptomyces rapamycinicus. The bacterium triggered the activation of the GcnE histone acetyltransferase that acetylated histone 3 in nucleosomes of the ors gene cluster and the basR transcription factor, and thereby the gene cluster. The inducing compound was shown to be the bacterial arginoketide azalomycin F. Here, by inhibitor studies with the pan-sirtuin inhibitor nicotinamide (NAM) the involvement of a sirtuin HDAC was implied. Accordingly, deletion of all six putative sirtuin-encoding genes (sirA-E and hstA) revealed that only deletion of sirE led to production of orsellinic acid by A. nidulans without the need of the bacterium. Also other effects on growth and colony morphology due to NAM were phenocopied by the sirE deletion mutant. Addition of NAM did not compensate for the loss of the BasR transcription factor required for activation of the ors gene cluster. Collectively, SirE is the negative regulator of the bacteria-induced activation of the ors BGC. In line, addition of NAM to monocultures of Aspergillus mulundensis encoding a sirtuin E with highest similarity to the A. nidulans protein also activated the ors BGC in this fungus.

microbiology↗

Transcriptional immunogenomic analysis reveals distinct immunological clusters in pediatric nervous system tumours

To inform immunotherapy approaches in children, we performed an immunogenomic analysis of RNA-seq data from 925 treatment-naive pediatric nervous system tumours (pedNST) spanning 12 cancer types from three public data sets. Within pedNST, we uncovered four broad immune clusters: Pediatric Inflamed (10%), Myeloid Predominant (30%), Immune Neutral (43%) and Immune Excluded (17%). We validated these clusters using immunohistochemistry, methylation immune inference, and segmentation analysis of tissue images. We report shared biology of these immune clusters within and across cancer types, and characterization of specific immune-cell frequencies as well as T- and B-cell repertoires. We found no associations between immune infiltration levels and tumour mutational burden, although molecular cancer entities were enriched within specific immune clusters. Given the heterogeneity within pedNST, our findings suggest personalized immunogenomic profiling is needed to guide selection of immunotherapeutic strategies.

genomics↗

A comprehensive map of genetic interactions in childhood cancer reveals multiple underlying biological mechanisms

Childhood cancer is a major cause of child death in developed countries. Genetic interactions between mutated genes play an important role in cancer development. They can be detected by searching for pairs of mutated genes that co-occur more (or less) often than expected. Co-occurrence suggests a cooperative role in cancer development, while mutual exclusivity points to synthetic lethality, a phenomenon of interest in cancer treatment research. Little is known about genetic interactions in childhood cancer. We apply a statistical pipeline to detect genetic interactions in a combined dataset comprising over 2,500 tumors from 23 cancer types. The resulting genetic interaction map of childhood cancers comprises 15 co-occurring and 27 mutually exclusive candidates. The biological mechanisms underlying most candidates are either tumor subtype, pathway epistasis or cooperation while synthetic lethality plays a much smaller role. Thus, other explanations beyond synthetic lethality should be considered when interpreting results of genetic interaction tests.

cancer biology↗

Bacterium-triggered remodeling of chromatin identifies BasR, a novel regulator of fungal natural product biosynthesis

The eukaryotic epigenetic machinery is targeted by bacteria to reprogram the response of eukaryotes during their interaction with microorganisms. In line, we discovered that the bacterium Streptomyces rapamycinicus triggered increased chromatin acetylation and thus activation of the silent secondary metabolism ors gene cluster leading to the production of orsellinic acid in the fungus Aspergillus nidulans. Using this model we aim at understanding molecular mechanisms of communication between bacteria and eukaryotic microorganisms based on bacteria-triggered chromatin modification. By genome-wide ChIP-seq analysis of acetylated histone H3 (H3K9ac, H3K14ac) we uncovered the unique chromatin landscape in A. nidulans upon co-cultivation with S. rapamycinicus. Genome-wide acetylation of H3K9 correlated with increased gene expression, whereas H3K14 appears to function in transcriptional initiation by providing a docking side for regulatory proteins. In total, histones belonging to six secondary metabolism gene clusters showed higher acetylation during co-cultivation including the ors, aspercryptin, cichorine, sterigmatocystin, anthrone and 2,4-dihydroxy-3-methyl-6-(2-oxopropyl)benzaldehyde gene cluster with the emericellamide cluster being the only one with reduced acetylation and expression. Differentially acetylated histones were also detected in genes involved in amino acid and nitrogen metabolism, signaling, and genes encoding transcription factors. In conjunction with LC-MS/MS and MALDI-MS imaging, molecular analyses revealed the cross-pathway control and Myb-like transcription factor BasR as regulatory nodes for transduction of the bacterial signal in the fungus. The presence of basR in other fungal species allowed forecasting the inducibility of ors-like gene clusters by S. rapamycinicus in these fungi, and thus their effective interaction with activation of otherwise silent gene clusters.

microbiology↗