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Biology subjects

Castellano, S.

Publications and source records attributed to Castellano, S..

11 recordsLinked to original sources

Recurrent leukaemia stem cell states define the antigenic landscape of paediatric Acute Myeloid Leukaemia

Paediatric acute myeloid leukaemia (pAML) remains a leading cause of childhood cancer mortality, with disease heterogeneity representing a major obstacle to effective immunotherapy. To enable rational immunotherapy design accounting for such heterogeneity, we combined single-cell transcriptomics and surface proteomics (CITE-seq). Using an integrated framework for malignant cell identification and unbiased gene program identification, we resolved three conserved leukaemia stem cell (LSC) subtypes, primitive (P-LSC), monocytic (M-LSC), and erythroid-like (E-LSC), that frequently coexist within individual patients in varying proportions and represent distinct stem-cell states with characteristic immunophenotypes and transcriptional programmes. Quantitative surface antigen profiling revealed that no single target achieved full LSC coverage. CLEC12A, an antigen currently being evaluated clinically, was expressed across P-LSC and M-LSC but was largely absent from E-LSC. In contrast, CD84 provided complementary coverage in the P and M groups and served as the primary target in the E-LSC population. The combination of CLEC12A and CD84 provided broad coverage across all three LSC subtypes, while sparing healthy haematopoietic stem cells. Validation across independent single-cell and bulk cohorts confirmed the robustness of this combination. These findings establish a paediatric-specific framework for antigen prioritisation in AML, identify CLEC12A/CD84 as a robust dual-targeting strategy across heterogeneous LSC states, and provide a blueprint for the rational design of next-generation CAR T-cell combinations.

cancer biology↗

The challenges of single cell transcriptomics on difficult human tissue: the placenta

Demand for the application of single cell transcriptomics on difficult tissues, processed and stored in disparate conditions, has led to the development of various single cell modalities. We focus on the placenta, a challenging tissue to transcriptomically interrogate due to senescence, intermittent hypoxia, high levels of RNase activity and tissue trauma at delivery. We performed single cell and nuclei transcriptomics on two samples with probe-based and native molecule transcript capture, droplet based and in situ plate based cell isolation. We explored sample and storage variations, including freshly dissociated tissues, fixed cells, snap frozen and FFPE processing. We find that variations in sample processing and storage have much larger effect on cell type proportions than differences in chemistry, impacting the biology that can be learned or the identification of disease markers. Further, the transcriptomic output of in situ combinatorial indexing consistently overlaps, with single nucleus transcriptomics, sharing little with other modalities. This may limit combinatorial indexing for sampling cytoplasmstic mRNAs. Our comprehensive analysis of the varying effect of single cell transcriptomic modalities, including their sample management strategies, provides novel and essential considerations for the experimental design and analysis of single cell transcriptomics applicable to challenging tissues, offering actionable guidance for future experiments. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/688483v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@a0767forg.highwire.dtl.DTLVardef@c3af0corg.highwire.dtl.DTLVardef@1193e3eorg.highwire.dtl.DTLVardef@45989c_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

Spatially resolved fetal and maternal cell contributions to severe Preeclampsia

The molecular and cellular pathophysiology of the fetal-maternal interface in preeclamsia remains poorly understood, but it is increasingly clear that both fetus and mother make independent contributions to it. Here, we spatially distinguish them from each other and from gestational age for the severe form of the disease, interrogating tissues and cell types beyond the placenta for the Early and Late presentation of the condition. In addition to concerted hypoxia, angiogenic imbalance, fibrosis and aberrant metabolism in the placenta, new maternal immune signatures, including changes in macrophages, mitochondrial dysfunction and interferon signalling in the placenta, myometrium or chorioamniotic membranes, offer an explanation to systemic inflammation and endothelial dysfunction in the mother. These tissue and cell-specific responses are potential targets for therapy, with their prompt consideration in Early gestational disease likely beneficial due to its severity. Thus, timely intervention during gestation could change the extremely poor prognosis of severe disease.

molecular biology↗

An in vivo and in vitro spatiotemporal atlas of human midbrain development

The dopaminergic system has key roles in human physiology and is implicated in a broad range of neurological and neuropsychiatric conditions that are increasingly investigated using induced pluripotent stem cell-derived midbrain models. To determine the similarity of such models to human systems, we undertook single cell and spatial profiling of first and second trimester fetal midbrain and compared it to in vitro midbrain models. Our initial histological analysis of second trimester fetal midbrain revealed structural complexity already similar to that of adult tissue, although this similarity did not fully extend to transcriptional activity. Moreover, we show that in vitro models recapitulate the transcriptional activity of late first trimester fetal midbrain, while 3D models replicate the spatial organization and cellular microenvironments of first and second trimester fetal midbrain. Understanding the extent of human tissue recapitulation in midbrain laboratory models is essential to justify their use as biological proxies.

neuroscience↗

Dawnn: single-cell differential abundance with neural networks

Analysis of single-cell transcriptomes can identify cell populations more abundant in one sample or condition than another. However, existing methods to discover them suffer from either low discovery rates or high rates of false positives. We introduce Dawnn, a deep neural network able to find differential abundance with higher accuracy than current tools, both on simulated and biological datasets. Further, we demonstrate that Dawnn recovers published findings and discovers more cells in regions of differential abundance than existing methods, both in abundant and rare cell types, promising novel biological insights at single-cell resolution.

bioinformatics↗

Ancient loss of catalytic selenocysteine spurred convergent adaptation in a mammalian oxidoreductase

Selenocysteine (Sec), the 21st amino acid specified by the genetic code, is a rare selenium-containing residue found in the catalytic site of selenoprotein oxidoreductases. Sec is analogous to the common cysteine (Cys) amino acid but its selenium atom offers physicalchemical properties not provided by the corresponding sulfur atom in Cys. Catalytic sites with Sec in selenoproteins of vertebrates are under strong purifying selection but one enzyme, Glutathione Peroxidase 6 (GPX6), independently exchanged Sec for Cys less than one hundred million years ago in several mammalian lineages. We reconstructed and assayed these ancient enzymes before and after Sec was lost and up to today, and found them to have lost their classic ability to reduce hydroperoxides using glutathione (GSH). This loss of function, however, was accompanied by bursts of amino acid changes in the catalytic domain, with protein sites concertedly changing under positive selection across distant lineages abandoning Sec in GPX6. This demonstrates that when sulfur in Cys impairs catalysis a narrow evolutionary path is followed, with epistasis and pleiotropy leading to convergent evolution and triggering enzymatic properties likely beyond those in classic GPXs. These findings are an unusual example of adaptive convergence towards unexplored oxidoreductase functions during mammalian evolution.

molecular biology↗

Loss of the centrosomal protein ALMS1 alters lipid metabolism and the regulation of extracellular matrix-related processes

BackgroundAlstrom syndrome (ALMS) is a rare autosomal recessive disease that is associated with mutations in ALMS1 gene. The main clinical manifestations of ALMS are retinal dystrophy, obesity, type 2 diabetes mellitus, dilated cardiomyopathy and multi-organ fibrosis, characteristic in kidneys and liver. Depletion of the protein encoded by ALMS1 has been associated with the alteration of different processes regulated via the primary cilium, such as the NOTCH or TGF-{beta} signalling pathways. However, the cellular impact of these deregulated pathways in the absence of ALMS1 remains unknown. MethodsIn this study, we integrated RNA-seq and proteomic analysis to determine the gene expression profile of hTERT-BJ-5ta ALMS1 knockout fibroblasts after TGF-{beta} stimulation. In addition, we studied alterations in cross-signalling between the TGF-{beta} pathway and the AKT pathway in this cell line. ResultsWe found that ALMS1 depletion affects the TGF-{beta} pathway and its cross-signalling with other pathways such as PI3K/AKT, EGFR1 or p53. In addition, alterations associated with ALMS1 depletion clustered around the processes of extracellular matrix regulation and lipid metabolism in both the transcriptome and proteome. By studying the enriched pathways of common genes differentially expressed in the transcriptome and proteome, collagen fibril organisation, {beta}-oxidation of fatty acids and eicosanoid metabolism emerged as key processes altered by the absence of ALMS1. Finally, an overactivation of the AKT pathway was determined in the absence of ALMS1 that could be explained by a decrease in PTEN gene expression. ConclusionALMS1 deficiency disrupts cross-signalling between the TGF-{beta} pathway and other dependent pathways in hTERT-BJ-5ta cells. Furthermore, altered cross-signalling impacts the regulation of extracellular matrix-related processes and fatty acid metabolism, and leads to over-activation of the AKT pathway.

cell biology↗

Short-term Rho-associated kinase inhibitor treatment accelerates primary keratinocyte growth while preserving stem cell characteristics

Somatic stem cells can be cultured in-vitro and are attractive for cell and gene therapies, but their slow growth in in-vitro culture affects survival and stemness and hinders clinical applications. Rho-associated kinase inhibitor (ROCKi) has been used to overcome these obstacles. However, it risks changing the characteristics of stem cells. We found that primary keratinocyte stem cells (KSCs) cultured with the ROCKi Y-27632 for six days exhibited rapid proliferation while maintaining the ability to differentiate. Importantly, after discontinuation of ROCKi treatment, KSC numbers and characteristics were indistinguishable from those in non-treated cultures. We further confirmed that ROCKi treatment resulted in the activation of AKT and ERK pathways, which could support cell survival and proliferation in keratinocytes. We thus concluded that accelerating keratinocyte expansion with short-term ROCKi treatment does not exhaust KSCs self-renewal and differentiation capacities, presenting a safe avenue for clinical applications.

cell biology↗

Effects of somatic mutations on cellular differentiation in iPSC models of neurodevelopment

The use of induced pluripotent stem cells (iPSC) as models for development and human disease has enabled the study of otherwise inaccessible tissues. A remaining challenge in developing reliable models is our limited understanding of the factors driving irregular in vitro differentiation of iPSCs, particularly the impact of acquired somatic mutations. We leveraged data from a pooled dopaminergic neuron differentiation experiment of 238 iPSC lines profiled with single-cell and whole-exome sequencing to study how somatic mutations affect differentiation outcomes. Differentiation was tracked at three time points corresponding to neural progenitors, early neurons and mature neurons. We found that deleterious somatic mutations in key developmental genes, notably the BCOR gene, are strongly associated with failure in dopaminergic neuron differentiation, with lines carrying such mutations also showing larger proliferation rate in culture. We further identified broad differences in cell type composition between failed and successfully differentiating lines, as well as significant changes in gene expression contributing to the inhibition of neurogenesis, a functional process also targeted by deleterious mutations in failed lines. Our work highlights the need to routinely measure the burden of deleterious mutations in iPSC lines and calls for caution in interpreting differentiation-related phenotypes in disease-modelling experiments.

genomics↗

Enhanced functionality of low-affinity CD19 CAR T-cells is associated with activation priming and a polyfunctional cytokine phenotype

We recently described a low-affinity second-generation CD19 chimeric antigen receptor (CAR) CAT that showed enhanced expansion, cytotoxicity, and anti-tumour efficacy compared to the high-affinity (FMC63 based) CAR used in Tisagenlecleucel, in pre-clinical models. Furthermore, CAT demonstrated an excellent toxicity profile, enhanced in vivo expansion, and long-term persistence in a Phase I clinical study. To understand the molecular mechanisms behind these properties of CAT CAR T-cells, we performed a systematic in vitro characterization of the transcriptomic (RNA-seq) and protein (CyTOF) changes occurring in T-cells expressing low-affinity vs high-affinity CD19 CARs following stimulation with CD19-expressing cells. Our results show that CAT CAR T-cells exhibit enhanced activation to CD19 stimulation and a distinct transcriptomic and protein profile, with increased activation and cytokine polyfunctionality compared to FMC63 CAR T-cells. We demonstrate that the enhanced functionality of low-affinity CAT CAR T-cells is a consequence of an antigen-dependent priming induced by residual CD19-expressing B-cells present in the manufacture.

cancer biology↗

Evidence that viruses, particularly SIV, drove genetic adaptation in natural populations of eastern chimpanzees

All four subspecies of chimpanzees are endangered. Differing in their demographic histories and geographical ranges within sub-Saharan Africa, they have likely adapted to different environmental factors. We show that highly differentiated SNPs in eastern chimpanzees are uniquely enriched in genic sites in a way that is expected under recent adaptation. These sites are enriched for genes that differentiate the immune response to infection by simian immunodeficiency virus (SIV) in natural vs. non-natural host species. Conversely, central chimpanzees exhibit selective sweeps at the cytokine receptors CCR3, CCR9 and CXCR6 - paralogs of CCR5 and CXCR4, the two major receptors utilized by HIV to enter human cells. Thus, we infer that SIV may be eliciting distinctive adaptive responses in different chimpanzee subspecies. Since central chimpanzee SIV is the source of the global HIV/AIDS pandemic, understanding the mechanisms that limit pathogenicity of SIV in chimpanzees can broaden our understanding of HIV infection in humans.

evolutionary biology↗