Biology subjects

Boecker, M.

Publications and source records attributed to Boecker, M..

4 recordsLinked to original sources

bioRxiv2026

The mitochondrial transaminase GOT2 supports Japanese encephalitis virus replication in neuronal cells

Japanese encephalitis virus (JEV) is the leading cause of viral encephalitis in Asia, yet the host pathways that sustain its replication in the central nervous system remain poorly defined, and no antiviral therapies exist. Here we combine time-resolved transcriptomics and proteomics in mouse neuroblastoma (Neuro-2a) cells with time-resolved proteomics of infected mouse brain, integrated using directionality-penalized p-value merging. JEV infection was accompanied by progressive induction of interferon-stimulated proteins and by changes in the abundance of enzymes of central carbon and energy metabolism, spanning the tricarboxylic acid cycle, glycolysis, oxidative phosphorylation and glutaminolysis. Temporal clustering of the brain proteome linked oxidative phosphorylation remodelling to a dependence on glutamine metabolism. Glutamine antagonism with DON reduced viral RNA, whereas glycolytic inhibition and AKT modulation did not significantly alter it under the conditions tested. Silencing of the mitochondrial transaminase GOT2 reduced JEV RNA, viral protein, and infectious virus production in human SH-SY5Y cells. Our findings identify a glutamine-GOT2 axis as a metabolic dependency of JEV and a candidate host-directed antiviral target.

microbiology↗

bioRxiv2026

Raw-count embeddings improve single-cell foundation models

Single-cell transformer foundation models have grown to hundreds of millions of parameters, yet the preprocessing choices that underlie them, including gene ranking and library-size normalisation, have not been systematically benchmarked. Testing seven strategies, we find these elaborations are largely unnecessary: non-normalised, log-transformed counts give the best performance, and gene order barely matters, with even random ordering outperforming sophisticated rank-based schemes. The resulting model, Gene Intelligence, projects log1p-transformed raw counts directly onto each token embedding and jointly predicts masked tokens and counts, using no normalisation, positional encoding, or read-depth tokens. Despite this simplicity, it achieves state-of-the-art performance in the tested gene-level tasks and in doublet detection, and matches large current foundation models on cell-classification tasks while using 10-to 200-fold fewer parameters.

bioinformatics↗

bioRxiv2023

Unravelling bird nest arthropod community structure using metabarcoding

Bird nests are fascinating microcosms harboring a wide range of arthropods parasitizing the nesting birds or feeding on prey remains, feces, and the nest material. Studies of these communities have been entirely based on emergence traps which collect live organisms out of the nests. The analysis of nest contents and environmental DNA (eDNA) via metabarcoding could expand our knowledge and identify prey, exuviae, and other animal remains in bird nests. Here, we investigated the potential of arthropod remains, nest dust, and feathers to better describe taxonomic diversity accumulated in 20 bird nests collected in Guelph (Canada). We used subsampling strategies and tested two extraction approaches to investigate the distribution of DNA in nests, account for low-quality DNA, and the presence of inhibitory substances. In total, 103 taxa were detected via metabarcoding. Arthropod remains delivered the highest number of taxa (n=67), followed by nest dust (n=29). Extractions with the PowerSoil kit outperformed DNeasy extractions coupled with PowerClean Pro inhibitor removal. The subsamples of the same nest showed 5.5% and 47.1% taxonomic overlap for arthropod remains and PowerSoil extracted nest dust, respectively, indicating a heterogeneous eDNA distribution in nests. Most detected species were either feeding in the nest, i.e., herbivorous / predatory, or bird food. We also detected molecular traces of 25 bird species, whose feathers were likely used as nest material. Consequently, the metabarcoding of bird nest materials provides a more complete picture of nest communities, which can enable future studies on functional diversity and better comparisons between nesting species.

ecology↗

bioRxiv2023

Functional synapses between small cell lung cancer and glutamatergic neurons

Small cell lung cancer (SCLC) is a highly aggressive type of lung cancer, characterized by rapid proliferation, early metastatic spread, clinical recurrence and high rate of mortality. Using in vivo insertional mutagenesis screening in conjunction with cross-species genomic and transcriptomic validation, we identified a strong and consistent signal for neuronal, synaptic, and glutamatergic signaling gene sets in murine and human SCLC. We show that SCLC cells have the ability to develop intimate contacts with neuronal glutamatergic terminals in vitro, in autochthonous primary lung tumors and in brain-engrafted tumors. These contacts can develop into bona fide synapses, allowing SCLC cells to receive glutamatergic inputs. Fitting with a potential oncogenic role of neuron-SCLC interactions, we show that SCLC cells derive a robust proliferation advantage when co-cultured with neurons. Moreover, the repression of glutamate release and the stimulation of the inhibitory glutamate receptor GRM8 displayed therapeutic efficacy in an autochthonous mouse model of SCLC. Therefore, following malignant transformation, SCLC cells appear to hijack glutamatergic signaling to sustain tumor growth, thereby exposing a novel entry route for therapeutic intervention.

cancer biology↗