Biology subjects

Vallejo, A. F.

Publications and source records attributed to Vallejo, A. F..

9 recordsLinked to original sources

bioRxiv2023

MMPs and NETs are detrimental in human CNS-tuberculosis and MMP inhibition in a mouse model improves survival

Despite anti-tuberculous treatment (ATT), central nervous system tuberculosis (CNS-TB) still cause permanent neurological deficits and death. To identify prognostic factors, we profiled a prospective cohort of tuberculous meningitis (TBM) and non-TBM patients. We determined significantly increased cerebrospinal fluid (CSF) matrix metalloproteinases (MMPs) and neutrophil extracellular traps (NETs) are up-regulated in TBM patients with neuroradiological abnormalities and poor outcomes. To dissect mechanisms, we created a CNS-TB murine model which show neutrophil-rich necrotizing pyogranulomas with MMP-9 and NETs colocalizing, resembling human CNS-TB. Spatial transcriptomic analysis of both human and murine CNS-TB demonstrates a highly-inflamed and neutrophil-rich microenvironment of inflammatory immune responses, extracellular matrix degradation and angiogenesis within CNS-TB granulomas. Murine CNS-TB treated with ATT and MMP inhibitors SB-3CT or doxycycline show significantly suppressed NETs with improved survival. MMP inhibition arms show attenuated inflammation and well-formed blood vessels within granulomas. Adjunctive doxycycline is highly promising to improve CNS-TB outcomes and survival.

pathology↗

bioRxiv2022

snPATHO-seq: unlocking the FFPE archives for single nucleus RNA profiling

FFPE (formalin-fixed, paraffin-embedded) tissue archives are the largest repository of clinically annotated human specimens. Despite numerous advances in technology, current methods for sequencing of FFPE-fixed single-cells are slow, labour intensive, insufficiently sensitive and have a low resolution, making it difficult to fully exploit their enormous research and clinical potential. Here we introduce single nuclei pathology sequencing (snPATHO-Seq), a sensitive and efficient high-throughput platform to profile the transcriptome of single nuclei extracted from formalin-fixed paraffin-embedded (FFPE) samples. snPATHO-Seq combines an optimised nuclei extraction protocol from archival samples with 10x Genomics probe-based technology targeting the whole transcriptome. We performed direct comparison of the Fixed RNA Profiling (FRP) and established 3 single cell RNA-Sequencing (scRNA-Seq) workflows through a comprehensive bioinformatics analysis of matched fresh and fixed samples derived from the LNCaP prostate cancer cell line. FRP detected 2.1 times more transcripts in the fixed sample than the 3 kit did in the fresh sample. Low mitochondrial genes detection using the FRP was translated into 99.9 percent of cells passing the QC filters, compared to 81.6 percent of cells using the v3.1 chemistry. We then optimized snPATHO-Seq and applied it to a human breast cancer metastasis to the liver collected at autopsy and preserved in FFPE, a particularly challenging sample type. Remarkably, at 28,000 reads/cell snPATHO-Seq was able to detect a median of 1850 genes/cell and 3,216 UMI counts/cell. Comparison of snPATHO-Seq with spatial transcriptomics data (10x Genomics Visium FFPE v1) derived from an adjacent section of the same sample revealed a strong correlation, validating the accuracy of the snPATHO-Seq data. Gene expression data from snPATHO-Seq was used to predict cell type composition within each spatial transcriptomic location via deconvolution. Overall, snPATHO-Seq enables high quality and sensitivity snRNA-Seq from preserved tissue samples, unlocking the vast archives of FFPE tissues and thereby allowing extensive retrospective clinical genomic studies.

cancer biology↗

bioRxiv2021

Mycobacterium tuberculosis senses host Interferon- gamma via the membrane protein MmpL10

Mycobacterium tuberculosis (Mtb) is one of the most successful human pathogens and remains a leading cause of death from infectious disease. Interferon-{gamma} (IFN-{gamma}) is a central regulator of the immune defense against Mtb. Several cytokines have been shown to increase virulence of other bacterial pathogens, leading us to investigate whether IFN-{gamma} has a direct effect on Mtb. We found that both recombinant and T-cell derived IFN-{gamma} rapidly induced a dose-dependent increase in the oxygen consumption rate (OCR) of Mtb, consistent with increased bacterial respiration. This was also observed in clinical strains, but not in the vaccine strain Bacillus Calmette-Guerin (BCG), and did not occur for other cytokines tested, including TNF-. IFN-{gamma} binds to the cell surface of intact Mtb, but not BCG, whilst TNF- binds to neither. Mass spectrometry analysis identified mycobacterial membrane protein large 10 (MmpL10) as the transmembrane binding partner. Consistent with this, IFN-{gamma} binding and the OCR response was absent in a Mtb {Delta}mmpl10 strain and restored by complementation of the mutant strain. RNA-sequencing of IFN-{gamma} exposed Mtb revealed a distinct transcriptional profile, including genes involved in virulence and cholesterol catabolism. Finally, exposure of Mtb cells to IFN-{gamma} resulted in sterilization of bacilli treated with isoniazid (INH), indicating clearance of phenotypically resistant bacteria that persist in the presence of INH alone. Our data suggest a novel mechanism allowing Mtb to respond to host immune activation that may be important in the immunopathogenesis of TB and have use in novel eradication strategies. One-Sentence SummaryIFN-{gamma} is a critical component of effective immune defense in human tuberculosis yet its causative agent, Mycobacterium tuberculosis it able to sense this cytokine and increase virulence and respiration in response.

microbiology↗

bioRxiv2021

Dual Dean entrainment with volume ratio modulation for efficient co-encapsulation: Extreme single-cell indexing

The future of single cell diversity screens involves ever-larger sample sizes, dictating the need for higher throughput methods with low analytical noise to accurately describe the nature of the cellular system. Current approaches are limited by the Poisson statistic, requiring dilute cell suspensions and associated losses in throughput. In this contribution, we apply Dean entrainment to both cell and bead inputs, defining different volume packets to effect efficient co-encapsulation. Volume ratio scaling was explored to identify optimal conditions. This enabled the co-encapsulation of single cells with reporter beads at rates of ~1 million cells/hour, while increasing assay signal-to-noise with cell multiplet rates of ~2.5% and capturing ~70% of cells. The method, called Pirouette-seq, extends our capacity to investigate biological systems. TOC AbstractPirouette-seq involves cell and reporter bead inertial ordering for efficient co-encapsulation, achieving a throughput of 1 million cells/hour, a 2.5% multiplet rate and a 70% cell capture efficiency.

cell biology↗

bioRxiv2021

TNF signalling fine-tunes Langerhans cell transcriptional programmes mediating adaptive immunity.

Langerhans cells (LCs) reside in the epidermis as a dense network of immune system sentinels, coordinating both immunogenic and tolerogenic immune responses. To determine molecular switches directing induction of LC immune activation, we performed mathematical modelling of gene regulatory networks identified by single cell RNA sequencing of LCs exposed to TNF, a key pro-inflammatory signal produced by the skin. Our approach delineated three programmes of LC phenotypic activation (immunogenic, tolerogenic or ambivalent), and confirmed that TNF enhanced LC immunogenic programming. Through regulon analysis followed by mutual information modelling, we identified IRF1 as the key transcription factor for the regulation of immunogenicity in LCs. Application of a mathematical toggle switch model, coupling IRF1 with tolerance-inducing transcription factors, determined the key set of transcription factors regulating the switch between tolerance and immunogenicity, and correctly predicted LC behaviour in LCs derived from different body sites. Our findings provide a mechanistic explanation of how combinatorial interactions between different transcription factors can coordinate specific transcriptional programmes in human LCs, interpreting the microenvironmental context of the local tissue microenvironments.

systems biology↗

bioRxiv2020

A DNA vaccine strategy to activate natural killer cells for therapeutic targeting of XPO1-positive tumors

Natural killer (NK) cells are key components of the immune response to viral infections and cancer. Their functions are controlled by activating and inhibitory killer-cell immunoglobulin-like receptors (KIR) which have MHC class I ligands. KIR2DS2 is an activating KIR, that binds conserved viral peptides in the context of HLA-C and has been associated with protective responses to both cancer and viral infections. We sought to investigate whether NK cells can be specifically activated in a peptide:MHC dependent manner to generate functional immune responses as a potential immunotherapeutic strategy. We developed a peptide-based KIR targeting DNA vaccine. Immunizing KIR-Tg mice with the vaccine construct generated in vivo peptide-specific activation of KIR2DS2-positive NK cells leading to canonical and cross-reactive peptide specific immune responses in vitro, and also in vivo inhibition of tumor growth. Using immunopeptidomics we identified that the nuclear export protein XPO1, which has been associated with a poor prognosis in many different human cancers, furnishes an HLA-C restricted cancer-associated peptide ligand for KIR2DS2-positive NK cells. We thus define a novel strategy to activate KIR in a peptide-specific manner and identify a rationale for its use in cancer immunotherapy. Significance statementNatural killer (NK) cells are known to have important roles in determining the outcomes of viral infections and cancer. The killer cell immunoglobulin-like receptors (KIR), and in particular the activating receptor KIR2DS2, have been associated with the outcome of a number of different human cancers. Specific activation of NK cells through KIR2DS2 is challenging because it shares high (>98%) sequence homology with related inhibitory KIR. We have used a peptide:MHC targeting strategy to activate NK cells through KIR2DS2 and identified a novel cancer-associated ligand for this receptor. The work provides a proof-of-concept for targeting NK cells through activating KIR as a cancer immunotherapy strategy.

immunology↗

bioRxiv2019

Single cell transcriptomic analysis identifies Langerhans cells immunocompetency is critical for IDO1- dependent ability to induce tolerogenic T cells.

Human epidermal Langerhans cells (LCs) can coordinate both immunogenic and tolerogenic immune responses, creating an attractive opportunity for immunomodulation strategies. To investigate transcriptional determinants of human primary LC tolerance we applied single cells RNA-sequencing combined with transcriptional network modelling and functional analysis. Unsupervised clustering of single cell transcriptomes revealed that steady-state LCs exist in immature and immunocompetent states, and become fully immunocompetent on migration. Interestingly, LC migration, which has been shown to result in upregulation of the transcription factor IRF4, led in parallel to increased expression of a tolerogenic gene module including IDO1, LGALS1, LAMTOR1 and IL10RA, which translated to efficient induction of regulatory T cells in co-culture assays by immunocompetent LCs. Using protein expression analysis and perturbation with inhibitors, we confirmed the role of IDO1 as a mediator of LC tolerogenic responses induced during LC migration. Computational analysis of regulons and Partial Information Decomposition analyses identified IRF4 as a key driver for LC tolerogenic programmes. The predicted IRF4-regulated genes were confirmed by analysis of CRISPR-Cas9 edited LCs. These findings suggest that efficient priming of tolerogenic responses by LCs requires upregulation of a migration-coupled maturation program which is superimposed with a tolerance-inducing genomic module.

systems biology↗

bioRxiv2019

Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering

Single-cell transcriptomics has sensitivity limits that restrict low abundance transcript identification, affects clustering and introduce artefact. Here, we describe Constellation DropSeq (C-DropSeq), a molecular transcriptome filter that delivers two orders of magnitude sensitivity gains by maximising read utility while reducing sequencing depth and costs. The simple and powerful method is broadly compatible with library preparation routines and was demonstrated by identifying and characterizing the activation of rare dendritic cell sub-populations.

molecular biology↗

bioRxiv2019

Genomic programming of antigen cross-presentation in IRF4-expressing human Langerhans cells

Langerhans cells (LCs) in the epidermis present MHC I and MHC II-restricted antigens thereby priming either CD8 or CD4 T cell immune responses. The genomic programs and transcription factors regulating antigen presentation in LCs remain to be elucidated. We show human LCs are highly efficient in MHC I-antigen cross-presentation but lack the transcription factor IRF8 that is critical in dendritic cells. LC migration from the epidermis enhances their ability to cross-present antigens and is accompanied by the induction of the transcription factor IRF4, whose expression is correlated by scRNA-seq with genes involved in ubiquitin-dependent protein degradation. Chromatin profiling reveals enrichment of EICE and AICE composite DNA binding motifs in regulatory regions of antigen-presentation genes, which can be recognized by IRF4 in conjunction with PU.1 or BATF3 expressed in LCs. Thus, the genomic programming of human LCs including inducible expression of IRF4 with enhanced cross-presentation distinguishes them from conventional dendritic cells.

immunology↗