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Degletagne, C.

Publications and source records attributed to Degletagne, C..

8 recordsLinked to original sources

Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumor heterogeneity in single-cell data

Single cell RNA-seq (scRNA-seq) now allows deeper insight into cellular biology at both the individual and population level. Measuring cell-to-cell variations in the population enables quantification of phenotypic heterogeneity in populations in which cell states and identities deviate from healthy transcriptomic profiles. Cellular activities quantifiable using gene set enrichment analyses can provide useful grounds to quantify phenotypic heterogeneity, but the specificity and adequacy of existing molecular signatures for scRNA-seq data is still insufficient. Here we induced 6 activities in vitro, for which we refined existing expression signatures to enhance specificity and detection in scRNA-seq data: epithelial-mesenchymal transition (EMT), DNA repair, responses to interferons and {gamma} (IFN and IFN{gamma}, respectively), glycolysis, oxidative phosphorylation (OxPhos). We report new signatures, with much lower redundancy between IFN and IFN{gamma}, and glycolysis and OxPhos signatures, achieving average AUCs of 0.85 across bootstrapped datasets for each activity. We could use these signatures to quantify phenotypic intra-tumor heterogeneity (ITH) in 20 patient samples and 14 cell lines, observing high correlation with diversity indices in classified healthy cells (p<0.001). Focusing on cancer cells only, we furthermore report higher phenotypic ITH in patients than in cell lines (p<0.001), and in basal tumors (p=0.028).

cancer biology↗

Netrin-1 regulates colorectal cancer stem cell self-renewal via a TFF3 dependent paracrine survival mechanism

BackgroundMetastatic colorectal cancer (mCRC) is associated with high recurrence rates and resistance to conventional treatments, largely driven by cancer stem cells (CSCs) that contribute to tumor progression and therapeutic evasion. This study aims to investigate the role of netrin-1 and its dependence receptor UNC5B in regulating CSC self-renewal in mCRC and explore their potential as therapeutic targets. MethodsWe used patient-derived liver metastasis organoids (PDOs) to examine the effects of netrin-1 on CSC self-renewal. The role of UNC5B was evaluated by silencing its expression using CRISPR and assessing the impact on CSC apoptosis in response to an anti-netrin-1 blocking antibody (NP137) using extreme limiting dilution assays (ELDAs). Single-cell RNA sequencing was employed to explore the molecular mechanisms behind netrin-1/UNC5B regulation of CSC fate. Clinical data from a patient with mCRC were used to validate the findings. ResultsNetrin-1 promoted CSC self-renewal by inhibiting apoptosis, a process reversed by NP137. UNC5B was identified as the primary receptor mediating this effect, as its silencing eliminated Netrin-1-induced self-renewal. Trefoil Factor 3 (TFF3), secreted by UNC5B-expressing cells, plays a key role in netrin-1-induced CSC self-renewal. Clinical trial data from a patient with mCRC showed a reduction in TFF3 and stemness genes expression after treatment with NP137. Furthermore, combining NP137 with FOLFOX chemotherapy enhanced cell death and inhibited tumor growth in PDO xenograft models. ConclusionThis study identifies the netrin-1/UNC5B/TFF3 axis as a critical regulator of CSC self-renewal in mCRC and suggests that targeting this pathway with NP137, in combination with chemotherapy, could provide a promising therapeutic approach for mCRC patients.

cancer biology↗

Integrating in silico predictions with an engineered tissue assay identifies Perlecan as an age-perturbed re-quiescence cue for muscle stem cells

Skeletal muscle regeneration is mediated by resident muscle stem cells that produce progeny to repair or recreate muscle. Critical to this function is the ability to transition between states of proliferation and quiescence. This balancing act is disrupted with age, leading to eroded regenerative capacity. Notwistanding, mechanisms by which the regenerating niche directs MuSCs return to the dormant state are largely unknown. Since single-cell RNAseq methods exclude the analysis of multinucleated cells, we generated single-nuclei RNAseq datasets of regenerating muscle to capture the full breadth of myogenic progression. With this, we uncovered new transition states between differentiating myocytes and syncytial multinucleated cells. Using cell communication inference tools, we highlighted receptor-ligand interactions between MuSCs and fusing nuclei. We leveraged a bespoke biomimetic 3D niche that induces MuSC quiescence, to filter the predicted interactions using a Cas9-based functional genomics approach. We found the proteoglycan Perlecan (Hspg2) promotes MuSC re-quiescence. Hspg2 silencing in vivo, during muscle regeneration, induced an aging-like phenotype and perturbed MuSC re-quiescence. Notably, the temporal profile and overall levels of Perlecan were altered with age. Exogenous supplementation with Endorepellin (truncated Perlecan) rescued MuSC decline following aged muscle regeneration, offering a new therapeutic target. Thus, coupling in silico predictions with a 3D in vitro assay followed by in vivo investigations revealed a previously inaccessible window of biology; that spatiotemporal coordination of MuSC re-quiescence is directed by fusing myonuclei.

cell biology↗

snPATHO-seq: unlocking the pathology archives

Formalin-fixed paraffin-embedded (FFPE) samples are valuable but underutilized in single-cell omics research due to their low DNA and RNA quality. In this study, leveraging recent single-cell genomic technology advances, we introduce a versatile method to derive high-quality single-nucleus transcriptomic data from FFPE samples.

molecular biology↗

Cannabinoid receptor type 2 expression in mouse brain: from mapping to regulation in microglia under inflammatory conditions

Since its detection in the brain, the cannabinoid receptor type 2 (CB2) has been deemed a promising therapeutic target for various neurological and psychiatric disorders. However, precise brain mapping of CB2 expression is currently lacking. Using magnetic cell sorting, calibrated reverse transcription-quantitative PCR, and single-nucleus RNA-seq, we revealed the low level of CB2 expression in all brain regions examined, mainly by a few microglial cells and by neurons in an even lower proportion. Upon lipopolysaccharide stimulation to simulate non-sterile neuroinflammatory conditions, we demonstrated that the inflammatory response was associated with a transient reduction in CB2 mRNA levels in the brain tissue, particularly in microglia. This result, confirmed in the BV2 microglial cells, contrasts with the positive correlation observed between CB2 mRNA levels and the inflammatory response upon stimulation by interferon-gamma, which models sterile inflammatory conditions. Thus, discrete brain CB2 expression may be upregulated or downregulated depending on the inflammatory context.

neuroscience↗

BMP2 and BMP7 cooperate with H3.3K27M to promote quiescence and invasiveness in pediatric diffuse midline gliomas

Pediatric diffuse midline gliomas (pDMG) are an aggressive type of childhood cancer with a fatal outcome. Their major epigenetic determinism has become clear, notably with the identification of K27M mutations in histone H3. However, the synergistic oncogenic mechanisms that induce and maintain tumor cell phenotype have yet to be deciphered. In 20 to 30% of cases, these tumors have an altered BMP signaling pathway with an oncogenic mutation on the BMP type I receptor ALK2, encoded by ACVR1. However, the potential impact of the BMP pathway in tumors non-mutated for ACVR1 is less clear. By integrating bulk, single-cell and spatial transcriptomic data, we show here that the BMP signaling pathway is activated at similar levels between ACVR1 wild-type and mutant tumors and identify BMP2 and BMP7 as putative activators of the pathway in a specific subpopulation of cells. By using both pediatric isogenic glioma lines genetically modified to overexpress H3.3K27M and patients-derived DIPG cell lines, we demonstrate that BMP2/7 synergizes with H3.3K27M to induce a transcriptomic rewiring associated with a quiescent but invasive cell state. These data suggest a generic oncogenic role for the BMP pathway in gliomagenesis of pDMG and pave the way for specific targeting of downstream effectors mediating the K27M/BMP crosstalk.

cancer biology↗

Spatial transcriptomics reveal pitfalls and opportunities for the detection of rare high-plasticity breast cancer subtypes

Breast cancer is one of the most prominent types of cancers, in which therapeutic resistance is still a major clinical hurdle. Specific subtypes like Claudin-low (CL) and metaplastic breast cancers (MpBC) have been associated with high non-genetic plasticity, which can facilitate resistance. The overlaps and differences between these orthogonal subtypes, respectively identified by molecular and histopathological analyses, are however still insufficiently characterised. Adequate methods to identify high-plasticity tumours to better anticipate resistance are furthermore still lacking. Here we analysed 11 triple negative breast tumours, including 3 CL and 4 MpBC samples, via high-resolution spatial transcriptomics. We combined pathological annotations and deconvolution approaches to precisely identify tumour spots, on which we performed signature enrichment, differential expression and copy-number analyses. We used the TCGA and CCLE public databases for external validation of expression markers. By levying spatial transcriptomics to focus analyses only to tumour cells in MpBC samples, and therefore bypassing the negative impact of stromal contamination, we could identify specific markers that are not expressed in other subtypes nor stromal cells. Three markers (BMPER, POPDC3 and SH3RF3) could furthermore be validated in external expression databases encompassing bulk tumour material and stroma-free cell lines. We find that existing bulk expression signatures of high-plasticity breast cancers are relevant in mesenchymal transdifferentiated compartments but can be hindered by stromal cell prevalence in tumour samples, negatively impacting their clinical applicability. Spatial transcriptomics analyses can however help identify more specific expression markers, and could thus enhance diagnosis and clinical care of rare high-plasticity breast cancers.

cancer biology↗

Fusion-negative Rhabdomyosarcoma 3D-organoids as an innovative model to predict resistance to cell death inducers

Rhabdomyosarcoma (RMS) is the main form of soft-tissue sarcoma in children and adolescents. For 20 years, and despite international clinical trials, its cure rate has not really improved, and remains stuck at 20% in case of relapse. The definition of new effective therapeutic combinations is hampered by the lack of reliable models, which complicate the transposition of promising results obtained in pre-clinical studies into efficient solutions for young patients. Inter-patient heterogeneity, particularly in the so-called fusion-negative group (FNRMS), adds an additional level of difficulty in optimizing the clinical management of children and adolescents with RMS. Here, we describe an original 3D-organoid model derived from relapsed FNRMS and show that it finely mimics the characteristics of the original tumor, including inter- and intra-tumoral heterogeneity. Moreover, we have established the proof-of-concept of their preclinical potential by re-evaluating the therapeutic opportunities of targeting apoptosis in FNRMS from a streamlined approach based on the exploitation of bulk and single-cell omics data.

cancer biology↗