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Toll-like receptors (TLRs) have a crucial role in the recognition of pathogens and initiation of immune responses 1 – 3 . Here we show that a previously uncharacterized protein encoded by CXorf21— a gene that is associated with systemic lupus erythematosus 4 , 5 —interacts with the endolysosomal transporter SLC15A4, an essential but poorly understood component of the endolysosomal TLR machinery also linked to autoimmune disease 4 , 6 – 9 . Loss of this type-I-interferon-inducible protein, which we refer to as ‘TLR adaptor interacting with SLC15A4 on the lysosome’ (TASL), abrogated responses to endolysosomal TLR agonists in both primary and transformed human immune cells. Deletion of SLC15A4 or TASL specifically impaired the activation of the IRF pathway without affecting NF-κB and MAPK signalling, which indicates that ligand recognition and TLR engagement in the endolysosome occurred normally. Extensive mutagenesis of TASL demonstrated that its localization and function relies on the interaction with SLC15A4. TASL contains a conserved pLxIS motif (in which p denotes a hydrophilic residue and x denotes any residue) that mediates the recruitment and activation of IRF5. This finding shows that TASL is an innate immune adaptor for TLR7, TLR8 and TLR9 signalling, revealing a clear mechanistic analogy with the IRF3 adaptors STING, MAVS and TRIF 10 , 11 . The identification of TASL as the component that links endolysosomal TLRs to the IRF5 transcription factor via SLC15A4 provides a mechanistic explanation for the involvement of these proteins in systemic lupus erythematosus 12 – 14 . The interaction between TASL and SLC15A4 links endolysosomal Toll-like receptors to the transcription factor IRF5, providing a mechanistic explanation for the involvement of the complex in systemic lupus erythematosus.

BackgroundGlioblastoma, the most common primary malignant brain tumor, has a median survival of less than two years. This is due in part to a subpopulation of cells called glioblastoma stem cells (GSCs), which drive tumor recurrence. Transposable elements (TEs) are expressed at higher levels in cancer stem cells, enhancing the oncogenic potential and plasticity of cells through changes in gene expression, fusion transcript generation, and genomic rearrangement.ResultsLeveraging a large previously published dataset, we investigated the expression of TEs in bulk RNA sequencing data from 42 GSCs to identify subpopulations defined by their TE expression profile. Using telescope, a locus-specific approach to quantifying TE expression, we identified 858 TE loci that were expressed and defined two groups of GSCs using a consensus clustering approach. These TE-driven clusters displayed significant differences in both transcription factor (TF) and gene expression, with one group significantly enriched for a mesenchymal signature based on Gene Set Enrichment Analysis. Next, we extracted the locations and sequences of the TE regulatory domains and elucidated TF binding motifs within the TE sequences. This showed that the SOX11 consensus motif was enriched in the 5’ untranslated region of differentially expressed long interspersed nuclear elements (LINE). SOX11, a known inducer of LINE expression, was significantly under-expressed in the mesenchymal GSC cluster, which correlated with the concurrent decreased expression of LINE transcripts. These loci also overlapped with the enhancer elements of genes that were significantly downregulated, suggesting a potential link between TF binding to TE regulatory regions and gene expression.ConclusionsAlthough further mechanistic studies are required, the identified link between TE location, TE and TF expression, and corresponding gene expression suggests that TEs may play a regulatory role in GSC transcription regulation. The current findings highlight the need for further investigation into the role of TEs in defining the gene regulatory and expression landscapes of GSCs. Future studies in this area could have therapeutic implications, given that glioblastoma recurrence may be driven by these cells.

Background: The invasion of glioblastoma cells beyond the visible tumor margin depicted by conventional neuroimaging is believed to mediate recurrence and predict poor survival. Radiomic biomarkers that are associated with the direction and extent of tumor infiltration are, however, non-existent. Methods: Patients from a single center with newly diagnosed glioblastoma (n = 7) underwent preoperative Q-space magnetic resonance imaging (QSI; 3T, 64 gradient directions, b = 1000 s/mm2) between 2018 and 2019. Tumors were manually segmented, and patterns of inter-voxel coherence spatially intersecting each segmentation were generated to represent tumor-associated tractography. One patient additionally underwent regional biopsy of diffusion tract- versus non-tract-associated tissue during tumor resection for RNA sequencing. Imaging data from this cohort were compared with a historical cohort of n = 66 glioblastoma patients who underwent similar QSI scans. Associations of tractography-derived metrics with survival were assessed using t-tests, linear regression, and Kaplan–Meier statistics. Patient-derived glioblastoma xenograft (PDX) mice generated with the sub-hippocampal injection of human-derived glioblastoma stem cells (GSCs) were scanned under high-field conditions (QSI, 7T, 512 gradient directions), and tumor-associated tractography was compared with the 3D microscopic reconstruction of immunostained GSCs. Results: In the principal enrollment cohort of patients with glioblastoma, all cases displayed tractography patterns with tumor-intersecting tract bundles extending into brain parenchyma, a phenotype which was reproduced in PDX mice as well as in a larger comparison cohort of glioblastoma patients (n = 66), when applying similar methods. Reconstructed spatial patterns of GSCs in PDX mice closely mirrored tumor-associated tractography. On a Kaplan–Meier survival analysis of n = 66 patients, the calculated intra-tumoral mean diffusivity predicted the overall survival (p = 0.037), as did tractography-associated features including mean tract length (p = 0.039) and mean projecting tract length (p = 0.022). The RNA sequencing of human tissue samples (n = 13 tumor samples from a single patient) revealed the overexpression of transcripts which regulate cell motility in tract-associated samples. Conclusions: QSI discriminates tumor-specific patterns of inter-voxel coherence believed to represent white matter pathways which may be susceptible to glioblastoma invasion. These findings may lay the groundwork for future work on therapeutic targeting, patient stratification, and prognosis in glioblastoma.