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Fernandez-Rodriguez, J.

Publications and source records attributed to Fernandez-Rodriguez, J..

8 recordsLinked to original sources

Quantitative spatial connectomics of liver reveals a partially exposed sympathetic network that integrates multiple cell types across the portal tract

Peripheral tissues are innervated by sparse axonal networks that regulate homeostasis, regeneration and disease, yet their three-dimensional architecture and cellular targets remain largely unknown. Here, we present an EM workflow for quantitative 3D spatial connectomics to define these networks. We identify the mouse liver connectome as a meshwork, rather than a tree-like structure, of mainly sympathetic axons, in which partial Schwann cell coverage is associated with exposed varicosities along the length of individual axons with large regions of the network devoid of glial coverage. Axon tracing identified axonal terminals throughout the network, but the vast majority of cellular contacts involved exposed 'en passant' varicosities. While both terminals and varicosities innervated the vasculature, most synaptic-like contacts involved hepatocytes, fibroblasts, macrophages, and the stem-cell niche, with all individual axons contacting different cell types along their length, highlighting the network nature of liver innervation, the potential for co-ordinating tissue function and demonstrating the power of this approach for decoding connectivity in peripheral tissues.

neuroscience↗

Identification of Malignant Peripheral Nerve Sheath Tumor subtypes with distinct genomic identities

Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive soft-tissue sarcomas arising sporadically or in people with neurofibromatosis type 1 (NF1). Their marked heterogeneity challenges diagnosis and has hampered an integrative view of MPNST molecular pathogenesis. Here, a thorough whole-genome and transcriptome analysis of MPNSTs and the re-analysis of a large independent cohort allowed us to identify three molecular subtypes of MPNSTs (G1-G3) with distinct genomic identities and clinicopathological features. Furthermore, it provided a simple and unifying model of MPNST development, defining a distinct progression path for each group. This work uncovers new genomic aspects of MPNSTs, including the identification of recurrent copy-neutral loss of heterozygosity regions, distinct copy-number profiles among G1-G3, and CDKN2A-inactivating translocations in pre-malignant lesions (ANNUBPs). Altogether, these analyses overcome the dominant influence of PRC2 status in MPNST classification and provide a framework for their differential diagnosis and potential precision oncology treatment. SIGNIFICANCEMPNST is a highly heterogeneous soft-tissue sarcoma with difficult clinical management and no effective systemic therapies. This work defines three molecular subtypes of MPNSTs with distinct development paths and histological and clinical characteristics with potential impact on translational studies and subtype-tailored treatments.

cancer biology↗

iPSC-derived NF1-CDKN2A-PRC2 deficient neural crest cells mimic glial-to-neuro-mesenchymal transition and form MPNST-like tumors in vivo

Neurofibromatosis Type 1 (NF1) predisposes to peripheral nerve tumor development. Commonly, the progression from a benign plexiform neurofibroma (PNF) towards a deadly malignant peripheral nerve sheath tumor (MPNST) involves a poorly understood glial-to-mesenchymal transition and the sequential loss of NF1, CDKN2A, and polycomb repressive complex 2 (PRC2). Using an iPSC-derived neural crest (NC) model, we reproduced this malignant transformation through gene editing. NF1-CDKN2A double-knockout (2KO) NCs retained glial differentiation capacity and formed neurofibroma-like tumors in vivo, requiring inactivation of p14ARF and p16INK4a. Additional PRC2 loss (3KO) disrupted pluripotency and induced mesenchymal stem cell-like features in iPSCs an NCs. 3KO NCs suffered a global chromatin reprograming that silenced SOX10 preventing gliogenesis and activated neuro-mesenchymal programs. Gene signatures characterizing this glial-to-neuro-mesenchymal transition were recapitulated in human PNF-ANNUBP-MPNST tumors. 3KO NC spheres formed MPNST-like tumors in vivo upon nerve engraftment, genuinely mimicking an early-stage MPNST. We used the developed 3D NC spheroid models for the discovery of drugs targeting MPNSTs by performing a high-throughput screening of an epigenetic compound library. We found that poly(ADP-ribose) polymerase inhibitors (PARPi) exhibit selective efficacy in PRC2-deficient NC spheroids. We confirmed that Olaparib-Selumetinib combination in a MPNST PDX mouse model was well tolerated and significantly suppressed tumor growth.

cancer biology↗

Treatment of STEC infection via CRISPR-Cas targeted cleavage of the Shiga toxin gene in animal models

Escherichia coli is a ubiquitous gut commensal but also an opportunistic pathogen responsible for severe intestinal and extra-intestinal infections. Shiga toxin-producing E. coli (STEC) pose a significant public health threat, particularly in children, where infections can lead to bloody diarrhea and progress to hemolytic uremic syndrome (HUS), a life-threatening condition with long-term complications. Antibiotics are contraindicated in STEC infections due to their potential to induce prophages carrying Shiga toxin (stx) genes, triggering toxin production. Here, we present a CRISPR-based antimicrobial strategy that selectively targets and eliminates O157 STEC clinical isolates while preventing toxin release. We designed a Cas12 nuclease to cleave >99% of all stx variants found in O157 strains, leading to bacterial killing and suppression of toxin production. To enable targeted delivery, we engineered a bacteriophage-derived capsid to specifically transfer a non-replicative DNA payload to E. coli O157, preventing its dissemination. In a mouse STEC colonization model, our therapeutic candidate, EB003, reduced bacterial burden by a factor of 3x103. In an infant rabbit disease model, EB003 mitigated clinical symptoms, abrogated stx-mediated toxicity, and accelerated epithelial repair at therapeutically relevant doses. These findings demonstrate the potential of CRISPR-based antimicrobials for treating STEC infections and support further clinical development of EB003 as a precision therapeutic against antibiotic-refractory bacterial pathogens.

synthetic biology↗

In situ targeted mutagenesis of gut bacteria

Microbiome research is revealing a growing number of bacterial genes that impact our health. While CRISPR-derived tools have shown great success in editing disease-driving genes in human cells, we currently lack the tools to achieve comparable success for bacterial targets. Here we engineer a phage-derived particle to deliver a base editor and modify E. coli colonizing the mouse gut. This was achieved using a non-replicative DNA payload, preventing maintenance and dissemination of the payload, while allowing for an editing efficiency of up to 99.7% of the target bacterial population. The editing of a {beta}-lactamase gene resulted in the stable maintenance of edited bacteria in the mouse gut at least 42 days after treatment. By enabling the in situ modification of bacteria directly in the gut, our approach offers a novel avenue to investigate the function of bacterial genes and provides an opportunity to develop novel microbiome-targeted therapies.

synthetic biology↗

A detailed landscape of genomic alterations in malignant peripheral nerve sheath tumor cell lines challenges the current MPNST diagnosis

BackgroundMalignant peripheral nerve sheath tumors (MPNSTs) are soft tissue sarcomas that arise from the peripheral nervous system. Half of the tumors develop in the context of the genetic disease Neurofibromatosis type 1 (NF1) and the rest are sporadic sarcomas. MPNSTs have a dismal prognosis due to their aggressiveness and tendency to metastasize, and new treatment options are needed. The diagnosis of MPNSTs can be challenging, especially outside of the NF1 context since specific histological criteria have not been completely established. Genomic analysis may both facilitate differential diagnoses and suggest precision medicine strategies. MethodsWe generated a complete genomic resource of a set of widely used human NF1-related and sporadic MPNST cell lines by applying ploidy analysis, whole genome and whole exome sequencing and SNP-array analysis, complemented by methylome-based classification and immunofluorescence of cell identity markers (SOX9, SOX10, S100B). ResultsNF1 MPNST cell lines faithfully recapitulated the genomic copy number profile of primary MPNSTs. Structural variants were key players in the complete inactivation of most recurrently altered tumor suppressor genes (TSGs) (NF1, CDKN2A, SUZ12/EED), while small variants played a minor role in the NF1 context, both concerning TSG inactivation and due to the absence of gain-of-function mutations. In clear contrast, the sporadic cell lines (STS-26T, HS-Sch-2, HS-PSS) did not recapitulate the copy number profile of primary MPNSTs. They carried different TSG inactivation and exhibited gain-of-function mutations by predicted kinase activation or generation of fusion genes. Mutational frequencies and signatures emerged as promising informative tools for aiding in MPNST differential diagnosis. Due to the multiple genomic differences exhibited, we complemented their characterization using a methylome-based classifier. All NF1-related cell lines were assigned within the MPNST group, while sporadic cell lines clustered either with melanomas or with an uncertain MPNST-like sarcoma group. The staining of cell identity markers reinforced the idea of a potential misdiagnose of the MPNSTs used to derive the sporadic cell lines analyzed. ConclusionsDeep genomic analysis, together with methylome-based sarcoma classification and cell identity marker analysis, challenged the MPNST identity of sporadic cell lines. Results presented here open an opportunity to revise MPNST differential diagnosis and classification.

genomics↗

The impact of genetic diversity on gene essentiality within the E. coli species

Bacteria from the same species can differ widely in their gene content. In E. coli, the set of genes shared by all strains, known as the core genome, represents about half the number of genes present in any strain. While recent advances in bacterial genomics have enabled to unravel genes required for fitness in various experimental conditions at the genome scale, most studies have focused on model strains. As a result, the impact of this genetic diversity on core processes of the bacterial cell largely remains to be investigated. Here, we developed a new CRISPR interference platform for high-throughput gene repression that is compatible with most E. coli isolates and closely-related species. We applied it to assess the importance of [~]3,400 nearly ubiquitous genes in 3 growth media in 18 representative E. coli strains spanning most common phylogroups and lifestyles of the species. Our screens highlighted extensive variations in gene essentiality between strains and conditions. Unlike variations in gene expression level, variations in gene essentiality do not recapitulate the strains phylogeny. Investigation of the genetic determinants for these variations highlighted the importance of epistatic interactions with mobile genetic elements. In particular, we showed how mobile genetic elements can trigger the essentiality of core genes that are usually nonessential. This study provides new insights into the evolvability of gene essentiality and argues for the importance of studying various isolates from the same species in bacterial genomics.

genomics↗

Successful optimization of reconstruction parameters in structured illumination microscopy - a practical guide

The impact of the different reconstruction parameters in super-resolution structured illumination microscopy (SIM) onto artifacts is carefully analyzed. They comprise the Wiener filter parameter, an apodization function, zero-frequency suppression and modifications of the optical transfer function. A detailed investigation of the reconstructed image spectrum is concluded to be suitable for identifying artifacts. For this purpose, two samples, an artificial test slide and a more realistic biological system, were used to characterize the artifact classes and their correlation with the image spectra as well as the reconstruction parameters. In addition, a guideline for efficient parameter optimization is suggested and the implementation of the parameters in selected up-to-date processing packages (proprietary and open-source) is depicted.

bioinformatics↗