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Rawlinson, D.

Publications and source records attributed to Rawlinson, D..

6 recordsLinked to original sources

Immune responses to infection modulate peripheral sympathetic neuron functions

The central nervous system interprets inflammatory signals in the body and directs the modulation of inflammatory responses by reflexively engaging peripheral sympathetic neurons1,2. This includes sympathetic neurons that innervate the spleen, which can regulate immune functions3-5 and modulate inflammation6-8. Yet, it is unclear if neuroimmune interactions involve specialised immunoregulatory sympathetic neurons, and if the immune system can reciprocally regulate peripheral sympathetic neurons to control these responses. Using retrograde tracing and single-cell transcriptomics, we find that spleen-innervating neurons are heterogeneous but do not exhibit a distinct transcriptional program indicative of specialisation for immune communication. However, we report that immune responses induced by pathogens can regulate postganglionic sympathetic neuron functions. Cytokines produced by immune cells downregulate expression of the neurotrophin nerve growth factor in spleen mesenchymal cells, leading to organ-specific sympathetic nerve retraction from the spleen. Concurrently, splenic type I interferon signalling induces inflammatory gene expression in neurons and suppresses neuron excitability. Chemogenetic activation of sympathetic neurons demonstrates an impaired anti-inflammatory capacity in the spleen during infection. These results reveal regulation of sympathetic neuronal functions by the immune system, which could support optimal generation of immune responses against pathogens.

immunology↗

Antigen reactivity defines tissue-resident memory and exhausted T cells in tumours

CD8+ T cells are a key weapon in the therapeutic armamentarium against cancer. While CD8+CD103+ T cells with a tissue-resident memory T (TRM) cell phenotype have been favourably correlated with patient prognoses1-6, the tumour microenvironment also contains dysfunctional exhausted T (TEX) cells that exhibit a myriad of TRM-like features, leading to conflation of these two populations. Here, we deconvolute TRM and TEX cells within the intratumoural CD8+CD103+ T cell pool across human cancers, ascribing markers and gene signatures that distinguish these CD8+ populations and enable their functional distinction. We found that while TRM cells exhibit superior functionality and are associated with long-term survival post-tumour resection, they are not associated with responsiveness to immune checkpoint blockade. Deconvolution of the two populations showed that tumour-associated TEX and TRM cells are clonally distinct, with the latter comprising both tumour-independent bystanders and tumour-specific cells segregated from their cognate antigen. Intratumoural TRM cells can be forced towards an exhausted fate when chronic antigen stimulation occurs, arguing that the presence or absence of continuous antigen exposure within the microenvironment is the key distinction between respective tumour-associated TEX and TRM populations. These results suggest unique roles for TRM and TEX cells in tumour control, underscoring the need for distinct strategies to harness these T cell populations in novel cancer therapies.

immunology↗

Deconvoluting TCR-dependent & -independent activation is vital for reliable Ag-specific CD4+ T cell characterization by AIM assay

AIM assays are thought to detect antigen (Ag)-specific T cell responses in an HLA- and cytokine-independent manner. Recent studies using AIM assays identified prominent Th17-like (CCR6+) CD4+ T cells and circulating follicular T helper cells (cTfh) in anti-viral contexts, but were not observed with peptide/HLA tetramer staining. We demonstrate that CD39+ Treg-like and CD26hi Th22-like cells can be activated by cytokines in a TCR-independent manner during in vitro Ag stimulation, leading to non-specific upregulation of prototypical AIM readouts. Transcriptional analysis of memory CD4+ T cells that underwent TCR-dependent or -independent activation enabled discrimination of bona fide Ag-specific T cells from cytokine-activated Treg and Th22 cells. CXCR4 downregulation emerged as a hallmark of clonotypic expansion and TCR-dependent activation in memory CD4+ T cells and cTfh. Tracking tetramer-binding cells during re-stimulation showed that CXCR4-CD137+ cells provide a more accurate measure of the Ag-specific population than standard AIM readouts. This modified assay excludes the predominately CCR6+ cytokine-activated T cells that contribute to an average 12-fold overestimation of the Ag-specific population. As AIM assays enable the rapid study of T cell responses against emerging pathogens, our findings provide a highly accurate approach to characterize genuine Ag-specific T cell responses that contribute to protective immunity.

immunology↗

Long-read RNA sequencing identifies polyadenylation elongation and differential transcript usage of host transcripts during SARS-CoV-2 in vitro infection

Better methods to interrogate host-pathogen interactions during Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections are imperative to help understand and prevent this disease. Here we implemented RNA-sequencing (RNA-seq) combined with the Oxford Nanopore Technologies (ONT) long-reads to measure differential host gene expression, transcript polyadenylation and isoform usage within various epithelial cell lines permissive and non-permissive for SARS-CoV-2 infection. SARS-CoV-2-infected and mock-infected Vero (African green monkey kidney epithelial cells), Calu-3 (human lung adenocarcinoma epithelial cells), Caco-2 (human colorectal adenocarcinoma epithelial cells) and A549 (human lung carcinoma epithelial cells) were analysed over time (0, 2, 24, 48 hours). Differential polyadenylation was found to occur in both infected Calu-3 and Vero cells during a late time point (48 hpi), with Gene Ontology (GO) terms such as viral transcription and translation shown to be significantly enriched in Calu-3 data. Poly(A) tails showed increased lengths in the majority of the differentially polyadenylated transcripts in Calu-3 and Vero cell lines (up to ~136 nt in mean poly(A) length, padj = 0.029). Of these genes, ribosomal protein genes such as RPS4X and RPS6 also showed downregulation in expression levels, suggesting the importance of ribosomal protein genes during infection. Furthermore, differential transcript usage was identified in Caco-2, Calu-3 and Vero cells, including transcripts of genes such as GSDMB and KPNA2, which have previously been implicated in SARS-CoV-2 infections. Overall, these results highlight the potential role of differential polyadenylation and transcript usage in host immune response or viral manipulation of host mechanisms during infection, and therefore, showcase the value of long-read sequencing in identifying less-explored host responses to disease.

immunology↗

Transcriptional and epi-transcriptional dynamics of SARS-CoV-2 during cellular infection

SARS-CoV-2 uses subgenomic (sg)RNA to produce viral proteins for replication and immune evasion. We applied long-read RNA and cDNA sequencing to in vitro human and primate infection models to study transcriptional dynamics. Transcription-regulating sequence (TRS)-dependent sgRNA was upregulated earlier in infection than TRS-independent sgRNA. An abundant class of TRS-independent sgRNA consisting of a portion of ORF1ab containing nsp1 joined to ORF10 and 3UTR was upregulated at 48 hours post infection in human cell lines. We identified double-junction sgRNA containing both TRS-dependent and independent junctions. We found multiple sites at which the SARS-CoV-2 genome is consistently more modified than sgRNA, and that sgRNA modifications are stable across transcript clusters, host cells and time since infection. Our work highlights the dynamic nature of the SARS-CoV-2 transcriptome during its replication cycle. Our results are available via an interactive web-app at http://coinlab.mdhs.unimelb.edu.au/.

microbiology↗

Direct RNA sequencing and early evolution of SARS-CoV-2

Fundamental aspects of SARS-CoV-2 biology remain to be described, having the potential to provide insight to the response effort for this high-priority pathogen. Here we describe the first native RNA sequence of SARS-CoV-2, detailing the coronaviral transcriptome and epitranscriptome, and share these data publicly. A data-driven inference of viral genetic features and evolutionary rate is also made. The rapid sharing of sequence information throughout the SARS-CoV-2 pandemic represents an inflection point for public health and genomic epidemiology, providing early insights into the biology and evolution of this emerging pathogen.

microbiology↗