Biology subjects

Pineda, M.

Publications and source records attributed to Pineda, M..

7 recordsLinked to original sources

bioRxiv2026

Tumor cell-intrinsic mtDNA instability drives cGAS-dependent temporal remodeling of the melanoma immune microenvironment

Mitochondrial DNA (mtDNA) instability is an emerging feature of cancer, yet its biological effects on the tumor microenvironment (TME) and tumor progression remain incompletely defined. Using melanocyte-specific conditional silencing of mitochondrial transcription factor A (TFAM) in an autochthonous BrafV600E/Pten-/- melanoma model, we demonstrate that tumor cell-intrinsic mtDNA instability accelerates melanoma growth and metastatic dissemination in a cGAS-dependent manner. Transcriptomic profiling of early and late tumor stages revealed that mtDNA instability drives temporal remodeling of the tumor microenvironment (TME), characterized by an early type I interferon (IFN)-rich inflammatory state that licenses immunoregulatory programs as tumors progress. Tumor-associated macrophages emerged as the principal immune cell type reshaped by tumor cell-intrinsic mtDNA stress signaling, with early enrichment of inflammatory states and a shift toward efferocytosis-associated, tissue-adaptive states. The early mtDNA instability-associated macrophage signatures mapped to human melanoma states associated with favorable survival and therapy response, whereas the late signatures mapped to states associated with poor prognosis and therapy resistance across independent cohorts. Anti-PD-1 treatment delayed progression of mtDNA-instable tumors, consistent with a therapeutic sensitivity window associated with the early IFN-rich immune state. These findings establish tumor cell-intrinsic mtDNA instability as a driver of temporal immune-stromal remodeling that promotes melanoma progression and shapes therapeutic response.

immunology↗

bioRxiv2025

Early seed priming with closely related Bacillus strains induces divergent physiological and defense responses in melon

Early microbial seed priming is a promising strategy to improve crop resilience, yet it remains unclear whether plants can discriminate among closely related beneficial strains and integrate dose-dependent microbial cues. We primed melon (Cucumis melo) seeds with two phylogenetically similar Bacillus strains (B. subtilis NCIB3610 and B. velezensis FZB42) and combined transcriptomic, metabolomic and physiological analyses across development. Despite comparable colonization, the strains provoked contrasting host programs and distinct dose responses. B. subtilis promoted radicle elongation, chloroplastic starch storage and drought tolerance irrespective of inoculum level, together with L-tryptophan and palatinose accumulation. By contrast, B. velezensis displayed a clear dose effect: low inoculum sustained normal radicle growth, whereas high inoculum transiently repressed it, coinciding with retrotransposon activation, suppression of AOS and proteasome genes, and enrichment of flavonoids and glutathione in leaves. Chemical assays showed that radicle inhibition requires the combination of surfactin, produced by both strains, with bacillomycin D, an iturin-type lipopeptide unique to FZB42; neither molecule alone reproduced the effect. This synergy links the strain-specific lipopeptide repertoire to the dose-dependent growth response. Although their early trajectories diverged, both primings converged on improved above-ground performance. 3610-primed plants restricted Botrytis cinerea via caffeic- and rosmarinic-acid accumulation, whereas FZB42-primed plants curtailed jasmonate-sensitive Tetranychus urticae mites through early JA-pathway activation. Our results demonstrate that melon perceives inoculum dose and microbial identity, translating them into distinct metabolic and defense programs that converge on stress resilience. These mechanistic insights-linking lipopeptide fingerprints, sentinel metabolites and defense transcripts-provide a framework for precision seed treatments in horticultural crops.

plant biology↗

bioRxiv2024

Geographically widespread and novel hemotropic mycoplasmas and bartonellae in Mexican free-tailed bats and sympatric North American bat species

Bacterial pathogens remain poorly characterized in bats, especially in North America. We describe novel (and in some cases panmictic) hemoplasmas (10.5% positivity) and bartonellae (25.5% positivity) across three colonies of Mexican free-tailed bats (Tadarida brasiliensis), a partially migratory species that can seasonally travel hundreds of kilometers. Molecular analyses identified three novel Candidatus hemoplasma species most similar to another novel Candidatus species in Neotropical molossid bats. We also detected novel hemoplasmas in sympatric cave myotis (Myotis velifer) and pallid bats (Antrozous pallidus), with sequences in the latter 96.5% related to C. Mycoplasma haemohominis. We identified nine Bartonella genogroups, including those in cave myotis with 96.7% similarity to C. Bartonella mayotimonensis. We also detected Bartonella rochalimae in migratory Mexican free-tailed bats, representing the first report of this human pathogen in the Chiroptera. The seasonality and diversity of these bacteria observed here suggest that additional longitudinal, genomic, and immunological studies in bats are warranted.

ecology↗

bioRxiv2022

Inflammatory Synovial Fibroblast Culture in 3D Systems: A Comparative Transcriptomic and Functional Study.

Inflammation is essential for fighting infections and initiating tissue repair, but chronic unresolved inflammation underlies many conditions, like cancer and autoimmune disorders. While dysregulated immune responses drive chronic inflammation, non-immune stromal cells such as fibroblasts also play a critical role. Targeting fibroblasts could enable tissue-specific therapies while avoiding the systemic suppression caused by current drugs. However, traditional culture systems often induce artificial behaviours, limiting progress. Here, we demonstrate the importance of the mechanical properties of the 3D culture environments in fibroblast-mediated inflammation in the context of Rheumatoid Arthritis, a chronic disease that primarily affects joints but also impacts other organs. We isolated fibroblasts from healthy and arthritic mouse joints and expanded them on 2D tissue culture plastic, stiff fibronectin-coated scaffolds, or soft pegylated fibronectin-based hydrogels. Our results highlight the plasticity of fibroblasts, with microenvironmental cues driving inflammatory or regulatory phenotypes. The 3D environment offered by fibronectin-coated scaffolds restored inflammatory gene expression profiles that were lost in flat cultures, while the more physiologically relevant soft hydrogels shifted fibroblasts toward a resolving phenotype. These findings underscore the importance of the 3D environment in modulating fibroblast behaviour and establish a foundation for bioengineered systems that better model disease or guide therapeutic strategies.

bioengineering↗

bioRxiv2022

iPSC-based modeling of THD recapitulates disease phenotypes and reveals neuronal malformation

Tyrosine hydroxylase deficiency (THD) is a rare genetic disorder leading to dopaminergic depletion and early-onset parkinsonism. Affected children present with either a severe form that does not respond to L-Dopa treatment (THD-B), or a milder L-Dopa responsive form (THD-A). We generated induced pluripotent stem cells (iPSCs) from THD patients that were differentiated into dopaminergic neurons (DAn) and compared with control-DAn from healthy individuals and gene-corrected isogenic controls. Consistent with patients, THD iPSC-DAn displayed lower levels of DA metabolites and reduced TH expression, when compared to controls. Moreover, THD iPSC-DAn showed abnormal morphology, including reduced total neurite length and either an abnormal TH proximodistal gradient (THDA), or neurite arborization defects (THDB). Treatment of THD-iPSC-DAn with L-Dopa rescued the neuronal defects and disease phenotype only in THDA-DAn. Interestingly, L-Dopa treatment at the stage of neuronal precursors could prevent the alterations in THDB-iPSC-DAn, thus suggesting the existence of a critical developmental window in THD. Our iPSC-based model recapitulates THD disease phenotypes and response to treatment, representing a promising tool for investigating pathogenic mechanisms, drug screening, and personalized management.

neuroscience↗

bioRxiv2021

GEF Cytohesin-2/ARNO: a novel bridge between cell migration and immunoregulation in synovial fibroblasts.

The guanine nucleotide exchange factor cytohesin-2 (ARNO) is a major activator of the small GTPase ARF6, and has been shown to play an important role(s) in cell adhesion, migration and cytoskeleton reorganization in various cell types and models of disease. Interestingly, dysregulated cell migration, in tandem with hyper-inflammatory responses, is one of the hallmarks associated with activated synovial fibroblasts (SFs) during chronic inflammatory joint diseases, like rheumatoid arthritis. The role of ARNO in this process was unknown but we hypothesized that the pro-inflammatory milieu of inflamed joints induces local activation of ARNO-mediated pathways in SFs, promoting an invasive cell phenotype that ultimately leads to bone and cartilage damage. Thus, we used small interference RNA to investigate the impact of ARNO on the pathological migration and inflammatory responses of murine SFs, revealing a fully functional ARNO-ARF6 pathway in SFs, which can be rapidly activated by IL-1{beta}. Such activation promotes cell migration and formation of focal adhesions. Unexpectedly, ARNO was also shown to modulate SF-inflammatory responses, dictating the precise cytokine and chemokine expression profile. Our results uncover a novel role for ARNO in SF-dependent inflammation, that potentially links pathogenic migration with initiation of local joint inflammation, offering new approaches for targeting the fibroblast compartment in chronic arthritis and joint disease.

immunology↗

bioRxiv2019

Benchmark of tools for CNV detection from NGS panel data in a genetic diagnostics context

MotivationAlthough germline copy number variants (CNVs) are the genetic cause of multiple hereditary diseases, detecting them from targeted next-generation sequencing data (NGS) remains a challenge. Existing tools perform well for large CNVs but struggle with single and multi-exon alterations. The aim of this work is to evaluate CNV calling tools working on gene panel NGS data with CNVs up to single-exon resolution and their suitability as a screening step before orthogonal confirmation in genetic diagnostics strategies. ResultsFive tools (DECoN, CoNVaDING, panelcn.MOPS, ExomeDepth and CODEX2) were tested against four genetic diagnostics datasets (495 samples, 231 CNVs), using the default and sensitivity-optimized parameters. Most tools were highly sensitive and specific, but the performance was dataset-dependant. In our in-house datasets, DECoN and panelcn.MOPS with optimized parameters showed enough sensitivity to be used as screening methods in genetic diagnostics. AvailabilityBenchmarking-optimization code is freely available at https://github.com/TranslationalBioinformaticsIGTP/CNVbenchmarkeR.

bioinformatics↗