Biology subjects

Duran, C.

Publications and source records attributed to Duran, C..

8 recordsLinked to original sources

bioRxiv2026

Substituting a conserved histidine alleviates difluoroacetate-dependent isoaspartate formation in a fluoroacetate dehalogenase

Organofluorides are ubiquitous in modern society, but their persistence poses significant environmental and health risks. Fluoroacetate dehalogenases (FAcDs) are promising candidates for the bioremediation of polyfluorinated substances, as they can hydrolyze C-F bonds efficiently under mild conditions. However, their activity toward gem-difluorinated carboxylic acids, such as 2,2-difluoroacetate (F2A), is typically poor, with rates orders of magnitude lower than for monofluorinated substrates (e.g. fluoroacetate). Here, we combine kinetic studies, mass spectrometric and biochemical analyses, and computational modeling to pinpoint the F2A-induced isomerization of the catalytic aspartate (Asp105) as a major inactivation pathway that severely limits sustained F2A turnover. To overcome this inhibition mechanism, we discovered that a highly conserved histidine (His104) acts as a gatekeeper for sustained F2A activity. Substituting His104 with the noncanonical N3-methylhistidine increased activity 14-fold, while replacement with asparagine boosted activity almost 50-fold, yielding a potent F2A defluorinase with an initial degradation rate of 0.3 s-1. Computational studies elucidated that these substitutions reshape the conformational landscape of Asp105, suppressing isoAsp-promoting conformations while preserving catalytically productive poses for F2A conversion. Notably, transplanting the His-to-Asn substitution into two homologous FAcDs drastically reduced their activity, highlighting H1 as a uniquely suitable scaffold for engineering promiscuous F2A conversion. Overall, this study demonstrates that targeting mechanistic intricacies can significantly enhance FAcD performance on F2A, providing a foundation for further engineering of H1 to degrade polyfluorinated pollutants.

biochemistry↗

bioRxiv2024

Tumor localization strategies of multi-cancer early detection tests: a quantitative assessment

IntroductionBlood-based multi-cancer early detection (MCED) tests may expand the number of "screenable" cancers. Defining an optimal approach to diagnostic resolution for individuals with positive MCED test results is critical. Two prospective trials employed distinct diagnostic resolution approaches; one employed a molecular signal to predict tissue of origin (TOO) and the other used an imaging-based diagnostic strategy. Using mathematical modeling, we compared the diagnostic burden of each approach and characterized the risk of excess cancer incidence that may be attributable to radiation exposure associated with a false positive (FP) MCED test result and an imaging-based diagnostic strategy. MethodsA mathematical expression for diagnostic burden was derived using MCED test positive predictive value (PPV), molecular TOO localization accuracy, and the expected number of imaging procedures associated with each diagnostic outcome. Imaging and molecular TOO strategies were compared by estimating diagnostic burden across a wide range of MCED PPVs and TOO accuracies. Organ-specific radiation dose for diagnostic imaging was extracted from the literature and used as input to National Cancer Institute RADRat tool for estimating excess lifetime cancer risk due to radiation exposure. ResultsFor the molecular TOO diagnostic approach, an average of 2.1 procedures are required to reach diagnostic resolution for correctly-localized TPs, 4.4 procedures for incorrectly-localized TPs, and 4 procedures for FPs, vs. an average of 2.75 procedures for TPs and 2.4 for FPs with an imaging-based diagnostic strategy. Across the entire range of possible PPV and localization performance, a molecular TOO strategy resulted in a higher mean diagnostic burden: 3.6 procedures (SD 0.445) vs. 2.6 procedures (SD 0.1) for the imaging strategy. Predicted diagnostic burden was higher for molecular TOO in 95.5% of all possible PPV and TOO accuracy combinations; 79% or higher PPV would be required for a 90% accurate molecular TOO strategy to be less burdensome than imaging. The maximum rate of excess cancer incidence from radiation exposure for FP results from MCED screening between the ages of 50-84 was estimated at 64.6 per 100,000 (annual testing, 99% specificity), 48.5 per 100,000 (biennial testing, 98.5% specificity), and 64.6 per 100,000 (biennial testing, 98% specificity). ConclusionsThis analysis demonstrates that an imaging-based diagnostic strategy is more efficient than a molecular TOO-informed approach across 95.5% of all possible MCED PPV and TOO accuracy combinations. The use of an imaging-based approach for cancer localization can be efficient and low risk compared to a molecular-based approach.

cancer biology↗

bioRxiv2022

ROCK2 Knockout Improves Proliferation Rate in a Cellular Model of Down Syndrome

In a cellular model of Down Syndrome, hTERT immortalized RPE-1 (human retinal pigment epithelial-1) cells carrying an extra copy of chromosome 21 exhibit reduced fitness, in part, as an increase in doubling time (or a reduction in cell proliferation rate) in culture. ROCK2 (Rho associated coiled-coil containing kinase 2) was identified in a whole genome CRISPR knockout (KO) screen designed to identify genes and pathways that could be therapeutically targeted to improve cell proliferation (Replogle JM, et al. manuscript in preparation). ROCK2 KO cell lines of both RPE-1 euploid and trisomy 21 aneuploid cells were created using CRISPR. Trisomy 21 ROCK2 KO cell lines showed a modest increase in cell proliferation rate compared to the parental aneuploid cells, similar to the relative effect that ROCK2 knockout had in the whole genome CRISPR screen. Euploid ROCK2 KO cell lines showed no difference in growth rate vs their ROCK2 expressing counterparts. Changes in doubling time in response to two pharmaceutical ROCK inhibitors, Fasudil and Y27632, also showed the same modest increase in cell proliferation rate in the trisomy 21 cells. The actin cytoskeleton, a target of ROCK2 regulation, exhibited long stress fibers that aligned across multiple contiguous cells in confluent trisomy 21 ROCK2 KO cells compared to the disorganized stress fibers of the parental trisomy 21 cells with normal ROCK2 expression.

cell biology↗

bioRxiv2022

Insulin receptor substrate 4 deficiency mediates the insulin effect on the epithelial magnesium channel TRPM6 and causes hypomagnesemia

The kidney is the key regulator of magnesium (Mg2+) homeostasis in the human body. In the distal convoluted tubule (DCT), the apical epithelial magnesium (Mg2+) channel TRPM6, determines how much Mg2+ is excreted in the urine. To better understand the regulation of human renal Mg2+ absorption we identified novel, potential interaction partners of TRPM6 by pursuing a liquid chromatography - tandem mass spectrometry (LC-MS/MS) proteomics approach. We found insulin receptor substrate 4 (IRS4) enriched with TRPM6 tagged to glutathione S-transferase (TRPM6-GST) but not GST control. Physical interaction between IRS4 and TRPM6 was confirmed by co-immunoprecipitation. Applying microdissection of mouse tubules, we detected Irs4 mRNA expression mostly in the DCT and to a lower degree in the proximal tubule and thick ascending limb of Henle. Given the overall low abundance of Irs4 mRNA along the tubule we investigated the phenotype of Irs4 knockout mice (Irs4-/-). These Irs4-/- mice displayed significantly higher urinary and fecal Mg2+ losses and lower blood Mg2+ levels than wild-type (WT) mice. Claudin-16, claudin-19, and Hnf1b mRNA and Claudin-16 and Trpm6 protein expression was significantly higher in kidneys of 3 month old Irs4-/- mice consistent with a compensatory mechanism to conserve Mg2+. Applying whole-cell patch-clamp recording we confirmed the stimulatory role of insulin on TRPM6 channel activity and showed that IRS4 targets the two TRPM6 phosphorylation sites T1391 and S1583 to enhance TRPM6 current density. To test the effect of Mg2+ deficiency on metabolism, we performed glucose and insulin tolerance studies, which were mildly abnormal in Irs4-/- mice. SIGNIFICANCE STATEMENTMagnesium (Mg2+) is the second most abundant intracellular cation but the regulation of Mg2+ homeostasis is not well understood. The kidney is the key organ for regulating Mg2+ homeostasis. Insulin is a known stimulator of the apical epithelial Mg2+channel TRPM6. We present a novel modifier of Mg2+ absorption with insulin receptor substrate 4 (IRS4) which illuminates further, how insulin activates the TRPM6 channel and modifies Mg2+ homeostasis. Applying protein biochemistry, tubular microdissection, whole mouse physiology, and patch-clamp recording, we demonstrate that IRS4 mediates the stimulatory effect of insulin by enhancing phosphorylation of two specific TRPM6 residues. Irs4-/- mice develop increased urinary and stool Mg2+ losses, lower serum Mg2+ concentration, and display mild impairment in glucose and insulin tolerance.

physiology↗

bioRxiv2021

Gut Microbiome Signatures Linked to HIV-1 Reservoir Size and Viremia Control

BackgroundThe potential role of the gut microbiome as a predictor of immune-mediated HIV-1 control in the absence of antiretroviral therapy (ART) is still unknown. In the BCN02 clinical trial, which combined the MVA.HIVconsv immunogen with the latency-reversing agent romidepsin in early-ART treated HIV-1 infected individuals, 23% (3/13) of participants showed sustained low-levels of plasma viremia during 32 weeks of a monitored ART pause (MAP). Here, we present a multi-omics analysis to identify compositional and functional gut microbiome patterns associated with HIV-1 control in the BCN02 trial. ResultsViremic controllers during the MAP (controllers) exhibited higher Bacteroidales/Clostridiales ratio and lower microbial gene richness before vaccination and throughout the study intervention when compared to non-controllers. Longitudinal assessment indicated that the gut microbiome of controllers was enriched in pro-inflammatory bacteria and depleted in butyrate-producing bacteria and methanogenic archaea. Functional profiling also showed that metabolic pathways, including methanogenesis and carbohydrate biosynthesis, were significantly decreased in controllers. Fecal metaproteome analyses confirmed that baseline functional differences were mainly driven by Clostridiales. Participants with high baseline Bacteroidales/Clostridiales ratio had increased pre-existing immune activation-related transcripts. The Bacteroidales/Clostridiales ratio as well as host immune-activation signatures inversely correlated with HIV-1 reservoir size. ConclusionsThis proof-of-concept study suggests the Bacteroidales/Clostridiales ratio as a novel gut microbiome signature associated with HIV-1 reservoir size and immune-mediated viral control after ART interruption.

immunology↗

bioRxiv2021

Primary tumor associated macrophages activate programs of invasion and dormancy in disseminating tumor cells.

Metastases are initiated by disseminated tumor cells (DTCs) that depart from the primary tumor and colonize target organs. Growing evidence suggests that the microenvironment of the primary tumor lesion primes DTCs to display dormant or proliferative fates in target organs. However, the manner in which events taking place in the primary tumor influence DTC fate, sometimes long after dissemination, remains poorly understood. With the advent of a novel intravital imaging technique called the Window for High-Resolution Intravital Imaging of the Lung (WHRIL), we have, for the first time, been able to study the live lung longitudinally and follow the fate of individual DTCs that spontaneously disseminate from orthotopic breast tumors. We find, across several models, a high rate of success for tumor cells to complete the initial steps of the metastatic cascade in the secondary site, including retention of DTCs in the lung vasculature, speed of extravasation, and survival after extravasation. Importantly, initiation of metastatic growth was controlled primarily by a rate-limiting step that occurred post-extravasation and at the stage of the conversion of single DTCs from a dormant to a proliferative state. Detailed analysis of these events revealed that, even before dissemination, a subset of macrophages within the primary tumor induces, in tumor cells that are about to disseminate, the expression of proteins that regulate a pro- dissemination (MenaINV) and pro-dormancy (NR2F1) phenotype. Surprisingly, if cancer cells are intravenously injected, the rate limiting stages of MenaINV-associated extravasation, dormancy, and other parameters, are lost or altered in a way that impacts how DTCs progress through the metastatic cascade. Our work provides novel insight into how specific primary tumor microenvironments prime a subpopulation of cells for dissemination and dormancy. We also propose that dissecting mechanisms of metastasis, or testing anti-metastatic therapies, may yield results of limited application if derived from models that do not follow spontaneous dissemination. SIGNIFICANCEThis study provides important insight into the contribution of primary tumor microenvironmental niches to cancer metastasis by identifying the manner in which these niches spawn subpopulations of DTCs that are primed for dissemination and dormancy in the secondary site. This study may provide novel targets that could be inhibited to prevent successful colonization of the secondary site and, hence, metastasis.

cancer biology↗

bioRxiv2020

Machine learning pattern recognition and differential network analysis of gastric microbiome in the presence of proton pump inhibitor treatment or Helicobacter pylori infection

Although long thought to be a sterile and inhospitable environment, the stomach is inhabited by diverse microbial communities, co-existing in a dynamic balance. Long-term use of orally administered drugs such as Proton Pump Inhibitors (PPIs), or bacterial infection such as Helicobacter pylori, cause significant microbial alterations. Yet, studies revealing how the commensal bacteria re-organize, due to these perturbations of the gastric environment, are in the early phase. They mainly focus on the most prevalent taxa and rely on linear techniques for multivariate analysis. Here we disclose the importance of complementing linear dimensionality reduction techniques such as Principal Component Analysis and Multidimensional Scaling with nonlinear approaches derived from the physics of complex systems. Then, we show the importance to complete multivariate pattern analysis with differential network analysis, to reveal mechanisms of re-organizations which emerge from combinatorial microbial variations induced by a medical treatment (PPIs) or an infectious state (H. pylori).

systems biology↗

bioRxiv2018

LIPEA: Lipid Pathway Enrichment Analysis

MotivationAnalyzing associations among multiple omic variables to infer mechanisms that meaningfully link them is a crucial step in systems biology. Gene Set Enrichment Analysis (GSEA) was conceived to pursue this aim in computational genomics, unveiling significant pathways associated to certain gene signatures under investigation. Lipidomics is a rapidly growing omic field, and absolute quantification of lipid abundance by shotgun mass spectrometry is generating high-throughput datasets that depict lipid metabolism in a plethora of conditions and organisms. In addition, high-throughput lipidomics represents a new important ally to develop personalized medicine approaches, investigate the causes and predict effective biomarkers in metabolic diseases, and not only.\n\nResultsHere, we present Lipid Pathway Enrichment Analysis (LIPEA), a web-tool for over-representation analysis of lipid signatures and detection of the biological pathways in which they are enriched. LIPEA is a new valid resource for biologists and physicians to mine pathways significantly associated to a set of lipids, helping them to discover whether common and collective mechanisms are hidden behind those lipids. LIPEA was extensively tested and we provide two examples where our system gave successfully results related with Major Depression Disease (MDD) and insulin re-sistance.\n\nAvailabilityThe tool is available as web platform at https://lipea.biotec.tu-dresden.de.

bioinformatics↗