Biology subjects

Camafeita, E.

Publications and source records attributed to Camafeita, E..

9 recordsLinked to original sources

bioRxiv2026

Kinetic Fingerprints as Mechanistic and Clinical Roadmaps Across KIT Activation States

In cancer therapy, traditional approaches often overlook the dynamic nature of drug-target interactions. We introduce kinetic fingerprints as a mechanistically informative tool to guide kinase inhibitor design and predict clinical performance. Profiling 172 compounds across multiple KIT conformations, including the oncogenic D816V mutation, show that prolonged residence time determines therapeutic success, while mutations accelerating dissociation rates (koff) drive resistance, positioning koff as a robust predictor of clinical failure. Beyond efficacy and resistance, kinetic signatures map molecular behavior: fast-associating scaffolds engage readily populated KIT states, slow binders overcome conformational barriers like juxtamembrane repositioning, and extended residence times highlight ligands stabilizing regulatory elements (G-loop and regulatory spine). Kinetic profiling further unveils mechanisms invisible to conventional methods, such as drug-induced kinase degradation, and exposes selectivity dimensions beyond affinity: avapritinib exhibits durable KIT D816V engagement yet transient off-target binding. Our findings redefine the evaluation of KIT inhibitors, establishing a framework for rational, kinetics-guided drug discovery in KIT-driven cancers. Table of Contents O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/726488v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@17f522borg.highwire.dtl.DTLVardef@1ebabc6org.highwire.dtl.DTLVardef@15a5e61org.highwire.dtl.DTLVardef@1ea5e0e_HPS_FORMAT_FIGEXP M_FIG Kinetic profiling of 172 compounds across KIT conformationsincluding D816Vreveals kinetic fingerprints that predict efficacy, selectivity, resistance, and inhibitors ability to stabilize key regulatory elements. Far from a secondary metric, binding kinetics provide mechanistic insights beyond affinity, offering a powerful framework for rational drug design in KIT-driven cancers. C_FIG

biochemistry↗

bioRxiv2026

MT4-MMP/NRP1 axis is required for balanced angiogenesis in the embryonic brain

Angiogenesis is essential for embryonic brain development and tissue repair, yet the mechanisms that spatiotemporally coordinate endothelial behavior to ensure balanced vascular remodeling remain elusive. Here, we identify the glycosylphosphatidylinositol (GPI)-anchored protease MT4-MMP as a critical, context-dependent determinant of angiogenic growth. Global loss of MT4-MMP transiently impairs vascular network formation in the embryonic hindbrain, whereas endothelial-specific deletion triggers an aberrant angiogenesis characterized by increased vessel density, branching, and a profound loss of vascular organization. This dual phenotype reveals MT4-MMP as a fundamental coordinator of neurovascular development. Consistently, MT4-MMP expression was dynamically regulated during wound repair, and its absence amplifies angiogenesis and accelerates wound closure in adult skin, highlighting its role in maintaining vascular homeostasis postnatally. Mechanistically, MT4-MMP-deficient endothelial cells exhibit impaired polarization and sustained, rather than transient, VEGFA-induced ERK activation. We identify NRP1 as a novel substrate of MT4-MMP and demonstrate that MT4-MMP-mediated NRP1 cleavage restricts NRP1 surface availability to tune the intensity of VEGFA signaling. Furthermore, pharmacological blockade of VEGFA-NRP1 binding partially rescues the vascular defects caused by endothelial MT4-MMP loss in vivo. Together, these findings uncover the MT4-MMP/NRP1 axis as a pivotal control point that prevents aberrant vessel expansion, establishing membrane-anchored proteolysis as a primary regulator across developmental and reparative contexts. TeaserThe proteolytic constraint exerted by MT4-MMP dictates neurovascular development and wound repair through the spatial control of NRP1-VEGFA signaling.

cell biology↗

bioRxiv2026

EpiFlow: multidimensional single-cell epigenetic profiling by spectral flow cytometry

The epigenetic landscape of individual cells determines their identity and function, yet current methods for profiling chromatin modifications at single-cell resolution remain low-throughput, costly, or limited in parametric depth. Here we present EpiFlow, a spectral flow cytometry-based platform that enables the simultaneous quantification of 16 epigenetic markers, including histone post-translational modifications, DNA methylation, and hydroxymethylation, at the single-cell level. We demonstrate that EpiFlow is robust across species from yeast to mammals and resolves biologically meaningful epigenetic transitions during the cell cycle, stem cell differentiation, germinal centre B cell maturation, diabetic liver remodelling, and seizure-induced chromatin reprogramming. High-dimensional integration of EpiFlow data enables cell-type classification based solely on epigenetic profiles in liver, brain, blood, and cancer. Furthermore, EpiFlow detects on-target and off-target/indirect effects of epigenetic drugs in a high-throughput-compatible format. Collectively, these results establish EpiFlow as a broadly applicable platform for single-cell epigenetic analysis in basic, pharmaceutical, and translational research.

cell biology↗

bioRxiv2025

Loss of the alternative calcineurin variant CnAβ1 enhances brown adipocyte differentiation and drives metabolic overactivation through FoxO1 activation

The alternative calcineurin A variant CnA{beta}1 has a unique C-terminal domain that provides it with distinct subcellular localization and mechanism of action different from other calcineurin isoforms. Here, we used mice lacking CnA{beta}1s C-terminal domain (CnA{beta}1{Delta}i12) to show that the absence of this specific isoform strongly reprograms metabolism. CnA{beta}1{Delta}i12 mice on a high-fat diet showed reduced body weight, white adipose tissue (WAT) mass, and circulating triglycerides, together with enhanced insulin sensitivity. In brown adipose tissue (BAT), CnA{beta}1 deficiency increased mitochondrial content and upregulated fatty acid oxidation and thermogenic proteins, improving cold resistance. Conversely, under starvation, CnA{beta}1{Delta}i12 mice experienced rapid fat depletion and hypothermia. Importantly, BAT-specific FoxO1 knockout in CnA{beta}1{Delta}i12 mice reduced catabolism-related gene expression and partially reversed the metabolic phenotypes, increasing body weight and WAT mass. Our findings reveal a relevant role for CnA{beta}1 in orchestrating BAT metabolism, highlighting its potential as a therapeutic target for obesity and metabolic syndrome.

physiology↗

bioRxiv2025

Integrative multi-layer workflow for quantitative analysis of post-translational modifications

Novel algorithms based on ultratolerant database searching have paved the way for comprehensive analysis of all possible post-translational modifications (PTM) that can be detected by mass spectrometry-based proteomics, obviating their prior knowledge. These tools together with novel quantitative statistical models allow hypothesis-free approaches to study the role and impact of PTM on biological systems. However, interpretation of this information from a pathophysiological perspective is challenging due to the huge amounts of PTM data, the existence of chemical, structural, and statistical artifacts and the lack of dedicated tools for their analysis. Here we propose a novel integrative workflow that automatically captures several layers of PTM-related information, including variations in trypsin efficiency, zonal changes, specific PTM changes and hypermodified regions, allowing advanced control of artefacts and coherent and comprehensive interpretation of PTM data. We show the performance of the new workflow by reanalyzing proteomics data from animal models of mitochondrial heteroplasmy and ischemia/reperfusion, revealing relevant PTM information not previously detectable, including consistent detection of novel oxidative modifications in Met and Cys residues from raw proteomics data. The workflow is available through the application PTM-compass.

bioinformatics↗

bioRxiv2024

In-gel protein digestion using acidic methanol produces a highly selective methylation of glutamic 1 acid residues.

Mass-tolerant open search methods allow the high-throughput analysis of modified peptides by mass spectrometry. These techniques have paved the way to unbiased analysis of post-translational modifications (PTMs) in biological contexts, as well as of chemical modifications produced during the manipulation of protein samples. In this work, we have analyzed in-depth a wide variety of samples of different biological origin, including cells, extracellular vesicles, secretomes, centrosomes and tissue preparations, using Comet-ReCom, a recently improved version of the open search engine Comet-PTM. Our results demonstrate that glutamic acid residues undergo intensive methyl esterification when protein digestion is performed using in-gel techniques, but not using gel-free approaches. This effect was highly specific to Glu and was not found for other methylable residues such as Asp.

systems biology↗

bioRxiv2023

iSanXoT: a Standalone Application for the Integrative Analysis of Mass Spectrometry-Based Quantitative Proteomics Data

Numerous bioinformatics tools currently exist to perform quantitative analysis of proteomics experiments. The majority of these tools apply diverse statistical models to assign a quantitative protein value from the mass-spectrometry information. Here we present iSanXoT, a standalone application that allows integrative analysis of quantitative proteomics data. iSanXoT processes relative abundances between MS signals and integrates them sequentially to upper levels using our previously published Generic Integration Algorithm (GIA). iSanXoT offers unique capabilities that complement conventional quantitative softwares, including statistical weighting and independent modeling of error distributions in each integration, aggregation of technical or biological replicates, quantification of posttranslational modifications or analysis of coordinated protein behavior. iSanXoT is a standalone, user-friendly application which accepts output from widespread proteomics pipelines and enables free construction of quantification workflows and fully customizable reports than can be reused across different projects or shared among users. Diverse integrative workflows constructed using GIA for the analysis of high-throughput quantitative proteomics experiments have been successfully applied in numerous publications. iSanXoT has been tested with the main operating systems. Download links for the corresponding distributions are available at https://github.com/CNIC-Proteomics/iSanXoT/releases.

bioinformatics↗

bioRxiv2023

Incongruence between transcriptional and vascular pathophysiological cell states

The Notch pathway is a major regulator of transcriptional specification and vascular biology. Previous studies have suggested that targeting the ligand Dll4 or the Notch-receptors results in similar molecular and angiogenesis outcomes. Here, we analyzed single and compound genetic mutants for all Notch signaling members and found very significant differences in the way ligands and receptors regulate vascular homeostasis. Loss of Notch receptors, leads to minor vascular pathology featuring hypermitogenic MAPK-driven cell-cycle arrest and senescence. In contrast, loss of Dll4 triggers a strong Myc-driven switch towards cell proliferation and sprouting and major organ pathology. Targeting of Myc completely suppressed the proliferative and tip-cell angiogenic states induced by Dll4 loss-of-function, however, this did not avoid vascular pathology. Only VEGF blockade prevented the pathology induced by Dll4 loss, but without fully suppressing its transcriptional and metabolic programs. This study shows incongruence between single-cell transcriptional states and adult vascular phenotypes and related pathophysiology.

physiology↗

bioRxiv2020

SARS-CoV-2 protein Nsp1 alters actomyosin cytoskeleton and phenocopies arrhythmogenic cardiomyopathy-related PKP2 mutant

Mutations in desmosomal Plakophilin-2 (PKP2) are the most prevalent drivers of arrhythmogenic cardiomyopathy (ACM) and a common cause of sudden cardiac death in young athletes. However, partner proteins that elucidate PKP2 cellular mechanism to understand cardiac dysfunction in ACM are mostly unknown. Here we identify the actin-based motor proteins Myh9 and Myh10 as key PKP2 interactors, and demonstrate that the expression of the ACM-related PKP2 mutant R735X alters actin fiber organization and cell mechanical stiffness. We also show that SARS-CoV-2 Nsp1 protein acts similarly to this known pathogenic R735X mutant, altering the actomyosin component distribution on cardiac cells. Our data reveal that the viral Nsp1 hijacks PKP2 into the cytoplasm and mimics the effect of delocalized R735X mutant. These results demonstrate that cytoplasmic PKP2, wildtype or mutant, induces the collapse of the actomyosin network, since shRNA-PKP2 knockdown maintains the cell structure, validating a critical role of PKP2 localization in the regulation of actomyosin architecture. The fact that Nsp1 and PKP2 mutant R735X share similar phenotypes also suggests that direct SARS-CoV-2 heart infection could induce a transient ACM-like disease in COVID-19 patients, which may contribute to right ventricle dysfunction, observed in patients with poor survival prognosis. HighlightsThe specific cardiac isoform Plakophilin-2a (PKP2) interacts with Myh9 and Myh10. PKP2 delocalization alters actomyosin cytoskeleton component organization. SARS-CoV-2 Nsp1 protein hijacks PKP2 from the desmosome into the soluble fraction where it is downregulated. Viral Nsp1 collapses the actomyosin cytoskeleton and phenocopies the arrhythmogenic cardiomyopathy-related mutant R735X.

molecular biology↗