Search bioRxiv⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2025.04.30.651564

Gene regulatory networks linked to GABA signalling emerge as relevant for glioblastoma pathogenesis

Nissen, I.·Dakhel, S.·Chakraborty, C.·Nygaard, A. H.·Kirkeby, A.·Hornblad, A.·Erdem, C.·Remeseiro, S.
View original source ↗Export metadata ↓

Abstract

Glioblastoma (GB) is the most common and aggressive adult brain tumor. Recent evidence shows that GB cells form glutamatergic synapses with neurons, promoting tumor growth and invasion, yet the gene regulatory networks (GRNs) underlying this interaction remain underexplored. GRNs coordinate gene expression through interactions among transcription factors (TFs), enhancers, and promoters, and are often disrupted in cancer due to epigenetic and chromatin architecture changes. To identify GRNs involved in GB pathogenesis, we applied the machine learning-based MOBILE (Multi-Omics Binary Integration via Lasso Ensembles) pipeline to integrate multi-omics data. GABA-signalling emerged as a previously unrecognized contributor to GB, involving relevant TFs as ARX, GSX2 and DLX family, key regulators of GABAergic interneuron development. Co-culture assays further demonstrated that GABAergic input promotes GB proliferation through non-synaptic mechanisms likely involving metabolic or paracrine interactions. Our findings reveal novel GRNs in GB, positioning GABA signalling as a potential therapeutic target to disrupt neuron-glioma interactions. SignificanceThis study uncovers novel gene regulatory networks driving glioblastoma progression through integration of multi-omics data with machine-learning tools. By identifying GABAergic signalling as a previously unrecognized contributor to tumour growth, it reveals new transcriptional regulators, providing valuable insights into neuron-glioma interactions. These findings open new therapeutic avenues for brain-cancer treatment. GRAPHICAL ABSTRAC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=61 SRC="FIGDIR/small/651564v2_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@ed95e1org.highwire.dtl.DTLVardef@b1d9forg.highwire.dtl.DTLVardef@1c5bc00org.highwire.dtl.DTLVardef@b9d833_HPS_FORMAT_FIGEXP M_FIG C_FIG Integration of multi-omics data from glioblastoma (GB) patients identified networks related to GABA signalling as relevant for GB pathogenesis. In co-culture assays, GABAergic interneurons increase the proliferation of GB cells.

Explore related subjects

genomicsPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Nissen, I., Dakhel, S., Chakraborty, C., Nygaard, A. H., Kirkeby, A., Hornblad, A., Erdem, C., Remeseiro, S.. 2025-05-05. Gene regulatory networks linked to GABA signalling emerge as relevant for glioblastoma pathogenesis. https://doi.org/10.1101/2025.04.30.651564

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Integrative Nanopore and Illumina sequencing reveals age-associated tRNA modification and CCA-tail dynamics in yeast

Aging is characterized by a progressive loss of proteostasis. Transfer RNAs (tRNAs) are essential regulators of translation, yet their dynamics during aging remain poorly understood due to challenges in sequencing highly modified RNAs. Here we present a benchmarked Nanopore direct RNA sequencing (RNA004 chemistry) resource that profiles the Saccharomyces cerevisiae tRNAome during replicative aging at single-molecule resolution. Using in vitro transcribed tRNA controls, we establish modification detection thresholds and validate key findings with orthogonal Illumina sequencing. While overall tRNA abundance remains largely stable, our resource reveals age-associated terminal A cleavage at the 3' CCA tail of mature tRNAs, targeted T-loop and anticodon modification changes, and single-molecule evidence of modification co-occurrence. This dataset provides a resource for exploring tRNA regulation, translation fidelity, and longevity.

genomics↗
bioRxiv2026

A hydrogen-producing mitochondrion in an anaerobic eukaryotrophic rhizarian

Diverse eukaryotes thrive under low oxygen conditions, in part through highly modified mitochondrion-related organelles (MROs) that use alternate metabolic pathways to support ATP production and cofactor recycling. Anaerobic lifestyles have evolved repeatedly across the eukaryotic tree of life, each providing an independent opportunity to understand how eukaryotes adapt to life in low oxygen conditions. Here, we use single-cell transcriptomics to reconstruct the MRO metabolism of PCE SSF, a benthic eukaryotrophic flagellate and the first cultivated representative of Novel Clade 12 (NC12; Rhizaria), an independently anaerobic rhizarian lineage. PCE SSF possesses an anaerobic hydrogen-producing mitochondrion capable of hydrogenosome-type substrate-level phosphorylation. It also retains a nearly complete but likely branched tricarboxylic acid pathway that lacks citrate synthase and malate dehydrogenase. The function of citrate synthase may instead be fulfilled by the typically cytosolic ATP citrate lyase, previously reported in this context only in the anaerobic cercozoan, Brevimastigomonas motovehiculus. Unlike B. motovehiculus, however, PCE SSF retains only Complex II and the NuoE/NuoF subunits of the electron transport chain and lacks a mitochondrial genome. Together, these features indicate an atypical and reduced mitochondrial metabolism, highlighting the diversity of evolutionary solutions to anaerobic energy metabolism in eukaryotes.

genomics↗
bioRxiv2026

Targeted CRISPRi screening reveals unexpected resilience across the RNA polymerase III transcriptome

Increased RNA polymerase III (Pol III) activity and tRNA abundance are widely linked to cancer cell growth, yet the functional requirement for individual Pol III genes and core components remains unclear, in part due to the difficulty of achieving gene-specific perturbation of highly conserved loci. Here, we developed an inducible CRISPR interference platform and a custom single-guide RNA (sgRNA) library enabling gene-specific targeting of Pol III-transcribed genes and Pol III machinery. Genome-wide screening identified several Pol III dependencies in diploid fibroblasts and HEK293T cells, including multiple initiator methionine tRNA genes among the strongest fitness dependencies. Unexpectedly, glioblastoma models remained largely insensitive to repression of both individual Pol III genes and core Pol III components, despite efficient target repression. These findings establish a general strategy for gene-specific interrogation of conserved Pol III genes and indicate that glioblastoma models tolerate extensive perturbation of Pol III genes and machinery.

genomics↗