Biology subjects

Ortega, P.

Publications and source records attributed to Ortega, P..

8 recordsLinked to original sources

bioRxiv2026

Identification and functional assessment of GPCRs across human adipogenesis

Clinical obesity, defined as the presence of excess adiposity in conjunction with the presence of at least one clinical presentation of disease, remains a significant social and economic burden. Pharmacological weight loss agents based on glucagon-like peptide-1 receptor (GLP-1R) targeting are effective but exhibit significant side-effects leading to cessation of treatment, weight regain and, importantly, re-development of co-morbidities. Adipose tissue, now established as a central mediator of energy balance, endocrine signalling and inflammation, plays a significant role in the protection against metabolic disease onset. Loss of adipose tissue expandability, insulin sensitivity and function is thought to be a pivotal event in the transition to clinical obesity. Targeting adipose tissue dysfunction prior to or following development of metabolic disease remains a key therapeutic strategy either in conjunction with incretin-based weight loss therapy, or as a stand-alone therapy. The recent confirmation of functional glucose-dependent insulinotropic polypeptide receptor (GIPR) in mature adipocytes has led to a significant shift in our mechanistic understanding of dual GLP-1R/GIPR agonists such as tirzepatide, with the addition of adipocyte-specific targeting thought to underpin its clinical superiority to GLP-1R agonism alone. However, the expression, regulation and mechanistic targets of GIPR, and indeed many G protein-coupled receptors (GPCRs), in human adipocytes remains unclear, with adipocyte development being particularly under-studied in this regard. Here we use unbiased transcriptomic analyses of human adipocyte development with high temporal resolution to identify the onset of human GPCR expression, uncovering a previously undocumented surge in expression following adipogenic induction and elegant gene waves throughout adipocyte development that may provide attractive pharmacological targets for adipose tissue dysfunction with or without weight loss. We functionally characterise GIPR, GLP-1 and CALCR/RAMP (Amylin) receptor activation at key differentiation timepoints, and identify a novel amylin response in early adipogenesis, presenting committed adipogenic precursors as a primary target of amylin signalling. HighlightsO_LIComprehensive transcriptomic analysis of human adipogenesis with improved temporal resolution and depth C_LIO_LIIdentification and classification of >150 GPCRs differentially regulated across adipocyte differentiation C_LIO_LIFunctional validation highlighting targeting of adipose stem cells and adipocytes using clinically approved receptor agonists C_LIO_LIGeneration of novel human adipocyte stem cell lines from healthy and obese individuals to drive early target validation and exploration of adipocyte biology with increased pre-clinical power. C_LI SummaryComprehensive temporal RNA sequencing across human adipocyte development with a focus on G-protein coupled receptor expression and activity.

cell biology↗

bioRxiv2026

HDAC5-encoded Microprotein NISM Mediates Nucleolar Formation and Ribosomal RNA Synthesis

Ribosome biogenesis is the process by which ribosomal RNA (rRNA) and ribosomal proteins are synthesized, processed, and assembled into functional ribosomes. This process begins in the nucleolus, a multiphase liquid condensate. Here, we discover an arginine-rich disordered nucleolar microprotein encoded within the HDAC5 5'-UTR that we termed Nucleolar Integrity and Stress Microprotein (NISM). NISM overexpression leads to impaired rDNA transcription, triggering nucleolar stress, p53 activation, and suppressed proliferation. NISM knockout causes disruption of nucleolar structure and also induces p53 activation. Mechanistically, NISM interacts with the DExH-box RNA helicase DHX9 and regulates its activities related to pre-rRNA synthesis. Computational analyses and polymer physics-based mathematical modeling revealed that NISM coordinates nucleolar formation and pre-rRNA synthesis by enhancing the liquid-liquid phase separation of DHX9. This study establishes NISM as a regulator of nucleolar biology and deepens our understanding of how disordered microproteins can facilitate the formation of membraneless organelles.

molecular biology↗

bioRxiv2025

Causal modelling reveals lower coral genetic diversity in more heterogenous reef environments

Conserving genetic diversity is crucial for maintaining species evolutionary potential and resilience to environmental change. Yet, directly measuring genetic diversity across large spatial scales remains resource-intensive and impractical for conservation planning. Identifying reliable, accessible, and cost-effective spatial predictors of genetic diversity would significantly enhance our ability to incorporate genetic diversity into conservation efforts. Caribbean coral reefs represent a compelling system for investigating such predictors, as these ecosystems face unprecedented threats from disease outbreaks and climate change. Here, we investigate the utility of several environmental proxies as surrogates for genetic diversity, which may be useful for conservation planning in resource- or data-poor regions. To achieve this goal, we used reduced-representation genomic sequencing to estimate intraspecific genetic diversity, and in doing so, identified two genetically distinct and sympatric cryptic coral species in the Agaricia tenuifolia species complex. We employed a causal inference approach to assess the relationships between genetic alpha diversity and habitat area and connectivity, habitat heterogeneity, and temperature. Statistical investigations revealed that increased habitat heterogeneity, derived from remotely sensed habitat maps, was associated with lower genetic diversity within coral populations, suggesting that habitat characteristics promoting species diversity may not maintain high genetic diversity within a single species. Habitat area and connectivity, and temperature have predominantly negative effects on genetic diversity with coral habitat area and connectivity showing markedly contrasting responses in two cryptic taxa. Thus, our findings reveal that context matters greatly, as results differ between cryptic species, across variables, and among spatial scales.

evolutionary biology↗

bioRxiv2024

Cooperative Role of PACT and ADAR1 in Preventing Aberrant PKR Activation by Self-Derived Double-Stranded RNA

Double-stranded RNAs (dsRNAs) produced during viral infections are recognized by the innate immune sensor protein kinase R (PKR), triggering a host translation shutoff that inhibits viral replication and propagation. Given the harmful effects of uncontrolled PKR activation, cells must tightly regulate PKR to ensure that its activation occurs only in response to viral infections, not endogenous dsRNAs. Here, we use CRISPR-Translate, a FACS-based genome-wide CRISPR-Cas9 knockout screening method that exploits translation levels as a readout and identifies PACT as a key inhibitor of PKR during viral infection. We find that cells deficient for PACT hyperactivate PKR in response to several different RNA viruses, raising the question of why cells need to limit PKR activity. Our results demonstrate that PACT cooperates with ADAR1 to suppress PKR activation from self-dsRNAs in uninfected cells. The simultaneous deletion of PACT and ADAR1 results in synthetic lethality, which can be fully rescued in PKR-deficient cells. We propose that both PACT and ADAR1 act as essential barriers against PKR, creating a threshold of tolerable levels to endogenous dsRNA in cells without activating PKR-mediated translation shutdown and cell death.

microbiology↗

bioRxiv2024

ATR safeguards replication forks against APOBEC3B-induced toxic PARP1 trapping

ATR is the master safeguard of genomic integrity during DNA replication. Acute inhibition of ATR with ATR inhibitor (ATRi) triggers a surge in origin firing, leading to increased levels of single-stranded DNA (ssDNA) that rapidly deplete all available RPA. This leaves ssDNA unprotected and susceptible to breakage, a phenomenon known as replication catastrophe. However, the mechanism by which unprotected ssDNA breaks remains unclear. Here, we reveal that APOBEC3B is the key enzyme targeting unprotected ssDNA at replication forks, triggering a reaction cascade that induces fork collapse and PARP1 hyperactivation. Mechanistically, we demonstrate that uracils generated by APOBEC3B at replication forks are removed by UNG2, creating abasic sites that are subsequently cleaved by APE1 endonuclease. Moreover, we demonstrate that APE1-mediated DNA cleavage is the critical enzymatic step for PARP1 trapping and hyperactivation in cells, regardless of how abasic sites are generated on DNA. Finally, we show that APOBEC3B-induced toxic PARP1 trapping in response to ATRi drives cell sensitivity to ATR inhibition, creating to a context of synthetic lethality when combined with PARP inhibitors. Together, these findings reveal the mechanisms that cause replication forks to break during replication catastrophe and explain why ATRi-treated cells are particularly sensitive to PARP inhibitors.

molecular biology↗

bioRxiv2023

Mesoscale DNA Features Impact APOBEC3A and APOBEC3B Deaminase Activity and Shape Tumor Mutational Landscapes

Antiviral DNA cytosine deaminases APOBEC3A and APOBEC3B are major sources of mutations in cancer by catalyzing cytosine-to-uracil deamination. APOBEC3A preferentially targets singlestranded DNAs, with a noted affinity for DNA regions that adopt stem-loop secondary structures. However, the detailed substrate preferences of APOBEC3A and APOBEC3B have been fully established, and the specific influence of the DNA sequence on APOBEC3A APOBEC3B deaminase activity remains to be investigated. Here, we find that APOBEC3B selectively targets DNA stem-loop structures, and they are distinct from those subjected deamination by APOBEC3A. We develop Oligo-seq, a novel in vitro sequencing-based to identify specific sequence contexts promoting APOBEC3A and APOBEC3B activity. Through this approach, we demonstrate that APOBEC3A an APOBEC3B deaminase activity is strongly regulated by specific sequences surrounding the targeted cytosine. Moreover, we identify structural features of APOBEC3B and APOBEC3A responsible for their substrate preferences. Importantly, we determine that APOBEC3B-induced mutations in hairpin-forming sequences within tumor genomes differ from the DNA stem-loop sequences mutated by APOBEC3A. Together, our study provides evidence that APOBEC3A and APOBEC3B can generate mutation landscapes in cancer genomes, driven by their unique substrate selectivity.

biochemistry↗

bioRxiv2020

A CDK-regulated chromatin segregase promoting chromosome replication

The replication of chromosomes during S phase is critical for cellular and organismal function. Replicative stress can result in genome instability, which is a major driver of cancer. Yet how chromatin is made accessible during eukaryotic DNA synthesis is poorly understood. Here, we report the identification of a novel class of chromatin remodeling enzyme, entirely distinct from classical SNF2-ATPase family remodelers. Yta7 is a AAA+-ATPase that assembles into ~ 1 MDa hexameric complexes capable of segregating histones from DNA. Yta7 chromatin segregase promotes chromosome replication both in vivo and in vitro. Biochemical reconstitution experiments using purified proteins revealed that Yta7s enzymatic activity is regulated by S phase-forms of Cyclin-Dependent Kinase (S-CDK). S-CDK phosphorylation stimulates ATP hydrolysis by Yta7, promoting nucleosome disassembly and chromatin replication. Our results present a novel mechanism of how cells orchestrate chromatin dynamics in co-ordination with the cell cycle machinery to promote genome duplication during S phase.

biochemistry↗

bioRxiv2018

Deep Learning personalised, closed-loop Brain-Computer Interfaces for multi-way classification

Exoskeletons and robotic devices are for many motor disabled people the only way to interact with their envi-ronment. Our lab previously developed a gaze guided assistive robotic system for grasping. It is well known that the same natural task can require different interactions described by different dynamical systems that would require different robotic controllers and their selection by the user in a self paced way. Therefore, we investigated different ways to achieve transitions between multiple states, finding that eye blinks were the most reliable to transition from off to control modes (binary classification) compared to voice and electromyography. In this paper be expanded on this work by investigating brain signals as sources for control mode switching. We developed a Brain Computer Interface (BCI) that allows users to switch between four control modes in self paced way in real time. Since the system is devised to be used in domestic environments in a user friendly way, we selected non-invasive electroencephalographic (EEG) signals and convolutional neural networks (ConvNets), known by their capability to find the optimal features for a classification task, which we hypothesised would add flexibility to the system in terms of which mental activities the user could perform to control it. We tested our system using the Cybathlon BrainRunners computer game, which represents all the challenges inherent to real time control. Our preliminary results show that an efficient architecture (SmallNet) composed by a convolutional layer, a fully connected layer and a sigmoid classification layer, is able to classify 4 mental activities that the user chose to perform. For his preferred mental activities, we run and validated the system online and retrained the system using online collected EEG data. We achieved 47, 6% accuracy in online operation in the 4-way classification task. In particular we found that models trained with online collected data predicted better the behaviour of the system in real time suggesting, as a side note, that similar (ConvNets based) offline classifying methods present in literature might find a decay in performance when applied online. To the best of our knowledge this is the first time such an architecture is tested in an online operation task. While compared to our previous method relying on blinks with this one we reduced in less than half (1.6 times) the accuracy but increased by 2 the amount of states among which we can transit, bringing the opportunity for finer control of specific subtasks composing natural grasping in a self paced way.

bioengineering↗