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Biology subjects

Mendoza, M.

Publications and source records attributed to Mendoza, M..

29 records · Page 2Linked to original sources

Computational model of 3D cell migration based on the molecular clutch mechanism

The external environment is a regulator of cell activity. Its stiffness and microstructure can either facilitate or prevent 3D cell migration in both physiology and disease. 3D cell migration results from force feedbacks between the cell and the extracellular matrix (ECM). Adhesions regulate these force feedbacks by working as molecular clutches that dynamically bind and unbind the ECM. Because of the interdependency between ECM properties, adhesion dynamics, and cell contractility, how exactly 3D cell migration occurs in different environments is not fully understood. In order to elucidate the effect of ECM on 3D cell migration through force-sensitive molecular clutches, we developed a computational model based on a lattice point approach. Results from the model show that increases in ECM pore size reduce cell migration speed. In contrast, matrix porosity increases it, given a sufficient number of ligands for cell adhesions and limited crowding of the matrix from cell replication. Importantly, these effects are maintained across a range of ECM stiffnesses, demonstrating that mechanical factors are not responsible for how matrix microstructure regulates cell motility.

biophysics↗

Nuclear Pore Complex Acetylation Regulates mRNA Export and Cell Cycle Commitment in Budding Yeast

Nuclear pore complexes (NPCs) mediate communication between the nucleus and the cytoplasm and regulate gene expression by interacting with transcription and mRNA export factors. Lysine acetyl-transferases (KATs) promote transcription through acetylation of chromatin-associated proteins. We find that Esa1, the KAT subunit of the yeast NuA4 complex, also acetylates the nuclear pore basket component Nup60 to promote mRNA export. Acetylation of Nup60 recruits to the nuclear basket the mRNA export factor Sac3, the scaffolding subunit of the Transcription and Export 2 (TREX-2) complex. Esa1-dependent nuclear export of mRNAs promotes entry into S phase, and is inhibited by the Hos3 deacetylase in G1 daughter cells to restrain their premature commitment to a new cell division cycle. This mechanism also inhibits expression of the nutrient-regulated GAL1 gene specifically in daughter cells. These results reveal how acetylation contributes to the functional plasticity of NPCs in specific cell types, and demonstrate how the evolutionarily conserved NuA4 complex regulates gene expression dually at the level of transcription and mRNA export, by modifying the nucleoplasmic entrance to nuclear pores.

cell biology↗

A dynamic and combinatorial histone code drives malaria parasite asexual and sexual development

A histone code defines system-level crosstalk between histone post-translational modifications (PTMs) to induce specific biological outcomes. Proteome-scale information of co-existing PTM across the entire chromatin landscape of the malaria parasite, Plasmodium falciparum, was lacking. Here, we used advanced quantitative middle-down proteomics to identify combinations of PTMs in both the proliferative, asexual stages and transmissible, sexual gametocyte stages of P. falciparum. We provide an updated, high-resolution compendium of 72 PTMs on H3 and H3.3, of which 30 are novel to the parasite. Co-existing PTMs with unique stage distinction was identified, indicating a dynamic and complex histone code with increased connectivity of novel PTMs seen in gametocytes. Chromatin proteomics of a gametocyte-specific combination, H3R17me2K18acK23ac, identified a SAGA-like effector complex (including the transcription factor AP2-G2) tied to this combination to regulate gene expression in mature gametocytes. Ultimately, this study unveils previously undiscovered histone PTMs and their functional relationship with co-existing partners. These results highlight that investigating chromatin regulation in the parasite using single histone PTM assays might overlook higher order gene regulation for distinct proliferation and differentiation processes.

biochemistry↗

How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure

O_LIPredicting infectious disease dynamics is a central challenge in disease ecology. Models that can assess which individuals are most at risk of being exposed to a pathogen not only provide valuable insights into disease transmission and dynamics but can also guide management interventions. Constructing such models for wild animal populations, however, is particularly challenging; often only serological data is available on a subset of individuals and non-linear relationships between variables are common.\nC_LIO_LIHere we take advantage of the latest advances in statistical machine learning to construct pathogen-risk models that automatically incorporate complex non-linear relationships with minimal statistical assumptions from ecological data with missing values. Our approach compares multiple machine learning algorithms in a unified environment to find the model with the best predictive performance and uses game theory to better interpret results. We apply this framework on two major pathogens that infect African lions: canine distemper virus (CDV) and feline parvovirus.\nC_LIO_LIOur modelling approach provided enhanced predictive performance compared to more traditional approaches, as well as new insights into disease risks in a wild population. We were able to efficiently capture and visualise strong non-linear patterns, as well as model complex interactions between variables in shaping exposure risk from CDV and feline parvovirus. For example, we found that lions were more likely to be exposed to CDV at a young age but only in low rainfall years.\nC_LIO_LIWhen combined with our data calibration approach, our framework helped us to answer questions about risk of pathogen exposure which are difficult to address with previous methods. Our framework not only has the potential to aid in predicting disease risk in animal populations, but also can be used to build robust predictive models suitable for other ecological applications such as modelling species distribution or diversity patterns.\nC_LI

ecology↗

Detection of Mycobacterium tuberculosis in pediatric stool samples using TruTip technology

BackgroundRapid and accurate diagnosis of childhood tuberculosis (TB) is challenging because children are often unable to produce the sputum sample required for conventional tests. Stool is an alternative sample type that is easy to collect from children, and studies investigating the use of stool for molecular detection of Mycobacterium tuberculosis (Mtb) have led to promising results. However, tests performed thus far are not able to examine multi-drug resistance. The TruTip workstation (Akonni Biosystems) is an automated lysis and extraction platform that can be integrated with a closed amplification system to detect both Mtb and resistance-associated mutations. Our objective here was to evaluate the use of TruTip extraction technology for Mtb detection in stool. MethodsWe tested stool samples of 259 children with TB symptoms, ages 0-14 years old, in Lima, Peru. We used the TruTip workstation for sample processing and extraction, followed by IS6110 real-time PCR to detect the presence of Mtb DNA. We calculated assay sensitivity in two groups: (1) children with culture confirmed TB (N=22); and (2) children with unconfirmed, clinically diagnosed TB (N=84). We calculated specificity among children in whom TB was ruled out (N=153). Among children with TB, we examined factors associated with a positive stool test. ResultsOverall assay sensitivity was 59% (95% confidence interval 39%-80%) and 1.2% (0.0%-6.5%) in children with culture-confirmed and clinically-diagnosed TB, respectively, and specificity was 97% (93%-99%). The assay detected Mtb in stool of 7/7 children with smear-positive TB [100% sensitivity; (59%-100%)], and in 6/15 [40% (16%-68%)] of children with smear-negative, culture-confirmed TB. Older age, smear positivity, culture positivity and cavitary disease were associated with a positive stool result. ConclusionFor molecular Mtb detection from stool, the TruTip workstation, in combination with IS6110 amplification, led to sensitivity and specificity estimates comparable to other tests such as Xpert. Future optimization is required to also diagnose TB disease in children who now received an unconfirmed diagnosis.

microbiology↗

Mycobacterium tuberculosis detection from oral swabs with Xpert MTB/RIF ULTRA: A pilot study

ObjectiveDiagnostic testing for tuberculosis depends on microbiological detection of Mycobacterium tuberculosis (Mtb) in sputum. For patients unable to expectorate sputum, such as children and individuals living with HIV, this poses barriers to rapid diagnosis and treatment initiation. Therefore, this study aimed to use oral swabs have as alternative sample type for Mtb detection via molecular testing. ResultsIn a pilot study, we aimed to evaluate sensitivity of Mtb detection via oral swabs using Xpert MTB/RIF ULTRA. We enrolled 63 TB cases and controls from Lima, Peru, and detected Mtb from oral swabs with a sensitivity of 45% (95% confidence interval (CI): 29%-63%) and specificity of 100% (95% CI: 84%-100%) using liquid culture of sputum as reference test. Our current protocol will need optimization, but these results support future exploration of the use of oral swabs for Mtb detection.

microbiology↗

Budding yeast complete DNA replication after chromosome segregation begins

To faithfully transmit genetic information, cells must replicate their entire genome before division. This is thought to be ensured by the temporal separation of replication and chromosome segregation. Here we show that in a substantial fraction of unperturbed yeast cells, DNA replication finishes during anaphase, late in mitosis. High cyclin-Cdk activity inhibits replication in metaphase, and the decrease in cyclin-Cdk activity during mitotic exit allows DNA replication to finish at difficult-to-replicate regions. Replication during late mitosis correlates with elevated mutation rates, including copy number variation. Thus, yeast cells temporally overlap replication and chromosome segregation during normal growth, possibly allowing cells to maximize population-level growth rate while simultaneously exploring greater genetic space.\n\nOne Sentence SummaryCompletion of DNA replication is coupled to downregulation of Cyclin-Dependent Kinase during mitotic exit.

cell biology↗

The spatial position of budding yeast chromosomes affects gene expression

The three-dimensional organization of chromosomes can influence transcription. However, the frequency and magnitude of these effects remains debated. To determine how changes in chromosome positioning affect transcription across thousands of genes with minimal perturbation, we characterized nuclear organization and global gene expression in budding yeast containing chromosome fusions. We used computational modelling and single cell imaging to determine chromosome position and integrated these data with genome-wide transcriptional profiles from RNA sequencing. We find that chromosome fusions dramatically alter 3D nuclear organization without leading to strong genome-wide changes in transcription. However, we observe a mild but significant and reproducible increase in expression of genes near fusion sites. Modeling suggests that this is due to both disruption of telomere-associated silencing and the displacement of genes relative to the nuclear periphery. A 10% decrease in the predicted time a gene spends near the nuclear periphery is associated with a 10% increase in expression. These data suggest that basal transcriptional activity is sensitive to radial changes on gene position, and provide insight into the functional relevance of budding yeast chromosome-level three-dimensional organization in gene expression.

cell biology↗

Is the LAN effect in morphosyntactic processing an ERP artifact?

The left anterior negativity (LAN) is an ERP component that has been often associated with morphosyntactic processing, but recent reports have questioned whether the LAN effect, in fact, exists. The present project examined whether the LAN effect, observed in the grand average response to local agreement violations, is the result of the overlap between two different ERP effects (N400, P600) at the level of subjects (n=80), items (n=120), or trials (n=6160). By-subject, by-item, and by-trial analyses of the ERP effect between 300 and 500 ms showed a LAN for 55% of the participants, 46% of the items, and 49% of the trials. Many examples of the biphasic LAN-P600 response were observed. Mixed-linear models showed that the LAN effect size was not reduced after accounting for subject variability. The present results suggest that there are cases where the grand average LAN effect represents the brain responses of individual participants, items, and trials.

neuroscience↗

Cell-specific modulation of nuclear pore complexes controls cell cycle entry during asymmetric division

The acquisition of cellular identity is coupled to changes in the nuclear periphery and nuclear pore complexes (NPCs). Whether and how these changes determine cell fate remains unclear. We have uncovered a mechanism regulating NPC acetylation to direct cell fate after asymmetric division in budding yeast. The lysine deacetylase Hos3 associates specifically with daughter cell NPCs during mitosis to delay cell cycle entry (Start). Hos3-dependent deacetylation of nuclear basket and central channel nucleoporins establishes daughter cell-specific nuclear accumulation of the transcriptional repressor Whi5 during anaphase and perinuclear silencing of the CLN2 gene in the following G1 phase. Hos3-dependent coordination of both events restrains Start in daughter but not in mother cells. We propose that deacetylation modulates transport-dependent and - independent functions of NPCs, leading to differential cell cycle progression in mother and daughter cells. Similar mechanisms might regulate NPC functions in specific cell types and/or cell cycle stages in multicellular organisms.

cell biology↗

Distinct roles of the polarity factors Boi1 and Boi2 in the control of exocytosis and abscission in budding yeast

Boi1 and Boi2 (Boi1/2) are budding yeast plasma membrane proteins that function in polarized growth, and in cytokinesis inhibition in response to chromosome bridges via the NoCut abscission checkpoint. How Boi1/2 act in these two distinct processes is not understood. We demonstrate that Boi1/2 are required for a late step in the fusion of secretory vesicles with the plasma membrane of the growing bud. Cells lacking Boi1/2 accumulate secretory vesicles and are defective in bud growth. In contrast, Boi2 is specifically required for abscission inhibition in cells with chromatin bridges. The SH3 domain of Boi2, which is dispensable for bud growth and targets Boi2 to the site of abscission, is essential for abscission inhibition. Gain of function of the exocyst, a conserved protein complex involved in tethering of exocytic vesicles to the plasma membrane, rescued secretion and bud growth defects in boi mutant cells, and abrogated NoCut checkpoint function. Thus, Boi2 functions redundantly with Boi1 to promote the fusion of secretory vesicles with the plasma membrane at sites of polarized growth, and acts as an abscission inhibitor during cytokinesis in response to chromatin bridges.

cell biology↗