Biology subjects

Fernandes, M.

Publications and source records attributed to Fernandes, M..

18 recordsLinked to original sources

bioRxiv2026

Chemically-induced Jamming and 3D printing of Granular Hydrogels: Microgels as Reservoirs of Volume

Granular hydrogels, made of jammed soft microparticles, are of great interest for 3D (bio)printing, as they combine ideal rheological properties and extensive modularity, yielding favorable microstructures for tissue engineering. Typically, the yield-stress properties of these materials, which facilitate printability, are defined by the preparation state and the initial particle content of the hydrogel. Here, we propose a granular hydrogel whose yield-stress and, consequently, printability and printed scaffolds shape retention can be controlled not only by the initial weight fraction of particles but also by their stimuli-responsive swelling. The responsive microgels are prepared from poly(N-isopropylacrylamide) crosslinked by dynamic covalent disulfide bonds. The particles swelling is triggered by reduction-induced cleavage of the disulfide bonds into two pendant thiol groups, enabling printing of multilayer scaffolds with high shape fidelity. Without chemically induced swelling, the same formulation requires higher particle concentrations to be printable. Importantly, the printed structures can be annealed by oxidizing the thiol units back into disulfide inter-particle bonds. The printed scaffolds are compatible with human dermal fibroblasts (HDF) and support cell-material interactions. This system offers a unique opportunity for on-demand modulation of both printability and scaffold microstructure, enabling unique control over local stiffness, packing density, and porosity in granular scaffolds.

bioengineering↗

bioRxiv2026

Proteomic Profiling of Enriched Nuclei Provides a Nuclear Proteome Resource and Protein Interaction Landscape for Trypanosoma cruzi

The processes such as DNA replication, transcription, and repair are often modulated by specific nuclear proteins, protein-protein interactions (PPIs), and post-translational modifications (PTMs). In Trypanosoma cruzi, however, the nuclear proteome and interactome have not been systematically mapped, limiting the interpretation of nuclear regulatory processes. Here, we report a nuclear proteome resource generated from intact nuclei isolated from T. cruzi and analyzed by high-resolution Orbitrap LC-MS/MS, integrating proteome profiling, computational interaction network inference, and exploratory crosslinking mass spectrometry (XL-MS). Proteome profiling identified 1,734 proteins in the nuclear fraction, including 316 proteins identified with PTM-containing peptides. Subcellular localization prediction and Gene Ontology analysis support nuclear enrichment and highlight functions related to transcription, RNA metabolism, and genome maintenance. The in silico interaction network derived from STRINGDB organizes the proteins into functional clusters, including a histone-associated interaction neighborhood. In parallel, XL-MS identified 26 residue-resolved interprotein crosslinks involving 36 proteins and detected PTMs at or near linked residues. Together, these data support reuse for comparative nuclear proteomics, multi-omics integration, and prioritization of candidates for future functional studies.

microbiology↗

bioRxiv2026

ROCK-mediated junctional remodelling preserves barrier function in a developing epithelium during hypoxia

Epithelia contribute to organismal homeostasis by functioning as selectively permeable barriers. Being avascular, epithelia are particularly vulnerable to hypoxia. Yet how developing epithelia adapt to preserve tissue integrity under hypoxic conditions remains elusive. Here, we show that in bilayered zebrafish epidermis hypoxia disrupts epithelial architecture reversibly, but preserves tight junction-mediated barrier function. ROCK maintains the tight apico-cortical localisation of active Non-muscle myosin-II (pNM-II) to mediate a squamous-to-cuboidal shape transition in epithelial cells under hypoxia. It further suppresses Crb3-dependent local force imbalance that otherwise results in cell delamination and cell-rosette formation. Importantly, we identify ROCK as a regulator that promotes barrier function maintenance specifically under hypoxia. Our genetic analyses demonstrate that ROCK primarily coordinates junctional remodelling to maintain barrier function during hypoxia while actomyosin contractility may foster the junctions secondarily. We propose that under an energy constrained hypoxic environment, dismantling E-cadherin based adhesion and augmenting ROCK-dependent barrier function in a developing epithelium ensures organism survival allowing recovery when normoxic conditions resume.

Cell Biology↗

bioRxiv2026

Cortical gray matter density at age five associated with preceding early longitudinal language profiles: A Voxel-based morphometry analysis of the FinnBrain Birth Cohort Study

Previous studies exploring the connection between early language development and brain anatomy have shown that cortical areas relating to individual differences in language skills are diverse and vary depending on the age of child. However, due to lack of large longitudinal samples, current literature is limited in answering the extent to which individual differences in language development prior to school age are reflected in areas of the cortex. To fill this gap, we compared gray matter density between participants that belonged to different longitudinally defined language profiles from 14 months to five years of age in a large population-based sample. Participants were 166 children from the FinnBrain Birth Cohort Study who had longitudinal language data from 14 months to five years of age and magnetic resonance imaging data at five years of age. Three groups of language development were used as per our prior study: persistent low, stable average, and stable high. Voxel-based morphometry metrics were calculated using SPM12 and the three language profile groups were compared to one another. Covariates included sex and age at brain scan. The statistics were thresholded at p < 0.01 and false discovery rate corrected at the cluster level. Of the three longitudinal language profiles, the stable high group had higher gray matter density than the persistent low group in the right superior frontal gyrus. No differences were found between the stable average and stable high groups, nor persistent low and stable average groups. The identified superior frontal cortical area belongs to executive functions neural network. This finding adds to the cumulating evidence that individual differences in language development are reflected in growth of gray matter supporting general processing ability rather than specialized language regions. The results suggest that cognitive development and early language development are linked through shared principles of neural growth, identifiable already at age five. Key pointsO_LIAn association between early language development from 14 months to five years of age and gray matter density differences of the right superior frontal gyrus was found at the age of five years. Children following the strongest language trajectory were more likely to exhibit higher gray matter density of the right superior frontal gyrus than children following the weakest trajectory. C_LIO_LIAs the superior frontal gyrus is part of executive functions network, we propose that individual differences in early language development are more defined by general learning mechanisms supported by those networks, rather than language specific pathways. C_LI

neuroscience↗

bioRxiv2026

Noninvasive Laser SCOS Monitoring of Rat Brain Hemodynamics During Intracerebral Injection

Cerebral blood volume (CBV) and blood flow (CBF) constitute key metrics for cerebrovascular monitoring, enabling assessment of stroke severity and risk-prediction, aging-related changes, and neurological diseases. CBF and CBV monitoring are key aspects in diagnosis, treatment triage, and clinical outcome of ischemic and hemorrhagic strokes. In recent years, there have been ongoing efforts toward the development of optical devices for noninvasive monitoring of CBV and CBF. Speckle contrast optical spectroscopy (SCOS) has recently emerged as a strong candidate for clinical translation in monitoring CBF and CBV, due to its affordability, compact and wearable design, and noninvasive nature. However, experimental demonstrations that SCOS can effectively monitor brain hemodynamics remain sparse. This is primarily due to challenges in design experiments that isolate cerebral blood dynamics from those in the scalp and skull. In this paper, we report experiments using SCOS to monitor cerebral hemodynamics in rats during intracerebral blood flow modulation. To modify cerebral blood dynamics, a surgical procedure was performed to insert a catheter for direct injection of flow modulation fluids into the brain. Using the SCOS device, we monitored changes in CBV during deliberate CBF interventions into the brains of five rats. A saline solution was also injected as a sham control of the flow intervention. The results show a significant decrease in CBV during injection, followed by a return to baseline. This behavior is consistent with physiological expectations, as the injected fluids dilute the blood, leading to a transient reduction in blood volume. Notably, the CBV decrease induced by the flow modulation fluid solution required more than twice as long to recover to baseline compared with the saline solution, which is consistent with the delayed clearance of the flow modulation fluid by design. These experimental results demonstrate the effectiveness of SCOS for monitoring cerebral hemodynamics in animal models and highlight its potential for translation to human studies. Moreover, this work paves the way for the testing and characterization of cerebral therapeutic agents intended for blood flow modulation in animal models.

biophysics↗

bioRxiv2025

Oncogenic mutations convert MET from a pro-apoptotic tumor suppressor to an oncogenic driver

Dependence receptors can exert both oncogenic and tumor-suppressive activities. In cancers, downregulation of dependence receptors or overexpression of their ligands are well-established mechanisms that drive tumor progression. However, direct genetic alterations abolishing the pro-apoptotic function of dependence receptors have not been documented so far. MET, a receptor tyrosine kinase classically viewed as an oncogene, has also been proposed to act as a dependence receptor through its caspase-mediated cleavage, but whether this property impacts tumorigenesis remained unknown. In [~]3% of lung adenocarcinomas, MET mutations leading to exon 14 skipping (METex14Del) remove both the caspase site and the adjacent CBL-binding motif, thereby preventing generation of the pro-apoptotic p40MET fragment. METex14Del promotes sustained signaling, enhanced invasion, apoptosis resistance, and tumor growth in HGF-humanized mice. Genome editing revealed that combined --but not individual-- mutations of the caspase and CBL sites phenocopy METex14Del. Moreover, inducible re-expression of p40MET in METex14Del-expressing cells restored apoptosis and suppressed tumor formation. Altogether, our findings identify MET exon 14 skipping as the first oncogenic mutation that drives tumorigenesis by abolishing the tumor-suppressive pro-apoptotic function of a dependence receptor, thereby redefining the oncogenic potential of MET.

cancer biology↗

bioRxiv2025

Multi-omics Profiling of the Lateral Ventricle Choroid Plexus Reveals Developmental Cellular Remodeling, Early Immune Gene Activation, and a Novel Epithelial Subtype

Healthy brain development and function highly depend on the choroid plexus. Temporal alterations in the cellular landscape and gene expression of choroid plexus cells can alter immune cell trafficking in the brain and cerebrospinal fluid composition, ultimately impacting brain dynamics. Here, we performed a comprehensive multi-omics analysis--including bulk and single-cell transcriptomics and epigenomics--of the lateral ventricle choroid plexus across early postnatal and adult stages in mice and rats. We uncovered striking changes in the choroid plexus cellular composition from neonatal to adult stages, accompanied by transcriptional remodeling of all main cell types. Immune cells were markedly increased in adulthood and immune cell profiling revealed an altered cell-type diversity through time. Surprisingly, we observed an early gene activation of host-defense genes in all choroid plexus main cell types, beginning in the neonatal period and progressively increasing into young adulthood. Moreover, some genes induced in epithelial cells in response to inflammation were found to be epigenetically primed, despite not being transcriptionally active. Epithelial cells exhibited subtype diversity and plasticity, with distinct gene expression programs and chromatin accessibility profiles emerging over time. Notably, we identified a novel epithelial cell subtype with unique gene markers suggesting a specialized function potentially linked to neuro-signaling. Ligand-receptor interaction analysis revealed a progressive remodeling of cellular crosstalk networks during choroid plexus maturation, suggesting dynamic intercellular signaling as the tissue develops. Our study offers a comprehensive atlas of transcriptional activity and chromatin accessibility in choroid plexus cells, providing a valuable resource to guide future efforts in targeting gene expression at the choroid plexus for therapeutical purposes.

neuroscience↗

bioRxiv2024

Transcriptional-program-based deciphering of the MET exon 14 skipping regulation network

The MET exon 14 skipping mutation (named METex14del) described in lung cancer leads to prolonged activation of signaling pathways and aberrant cell responses, but the link between HGF signaling and cell responses remains unclear. A putative regulatory network of influential regulators of target genes was constructed from the transcriptomes of lung cancer cell lines. Overlaying this reference network with transcriptomic data from METex14del-expressing cells, stimulated or not by HGF, revealed a major regulatory node consisting mainly of the transcription factors ETS1, FOSL1 and SMAD3. HGF activation of METex14del induced the phosphorylation of these master regulators and the expression of their predicted target genes in a RAS-ERK pathway-dependent manner. Furthermore, most of the transcription factors in the regulatory node are known regulators of epithelial-mesenchymal transition, consistent with their involvement in migration and invasion. New modeling with transcriptomic data from MEK inhibitor-treated METex14del cells validated the key role of RAS-ERK pathway regulators and their target genes in METex14del receptor activation. Thus, we report an original strategy to identify key transcriptional nodes associated with specific signaling pathways that may become novel therapeutic targets.

cancer biology↗

bioRxiv2024

Discovery of free glycated amines and glycated urea as potential markers of diabetic nephropathy

The role of protein glycation in the pathogenesis of diabetes is well established. Akin to proteins, free amino acids and other small-molecule amines are also susceptible to glycation in hyperglycemic conditions and may have a role in the pathogenesis of the disease. However, the information on glycation of free amino acids and other small- molecule amines is relatively obscure. In the quest to discover small molecule glycated amines in the plasma, we have synthesized glycated amino acids, glycated creatine, and glycated urea, and by using a high-resolution accurate mass spectrometer, a mass spectral library was developed comprising the precursor and predominant fragment masses of glycated amines. Using this information, we report the discovery of glycation of free lysine, arginine, and leucine/isoleucine from the plasma of diabetic patients. This has great physiological significance as glycation of these amino acids may create their deficiency and affect vital physiological processes such as protein synthesis, cell signaling and insulin secretion. Also, these glycated amino acids could serve as potential markers of diabetes and its complications. On the other hand, accumulation of creatinine and urea in the plasma act as biomarkers of diabetic nephropathy diagnosis. For the first time, we report the detection of glycated urea in diabetes, which is confirmed by matching the precursor and fragment masses with the in vitro synthesized glycated urea by using 12C6 and 13C6-glucose. Further, we quantified glycated urea detected in two forms, monoglycated urea (MGU) and diglycated urea (DGU), by a targeted mass spectrometric approach in the plasma of healthy, diabetes, and diabetic nephropathy subjects. Both MGU and DGU showed a positive correlation with clinical parameters such as blood glucose and HbA1c. Given that urea gets converted to glycated urea in hyperglycemic conditions, it is crucial to quantify MGU and DGU along with the urea for the diagnosis of diabetic nephropathy.

biochemistry↗

bioRxiv2023

First Genome-Scale Metabolic Modeling of Brucella abortus Predicts Pathogen Gene Essentiality and New Drug Target

Bovine brucellosis, a globally widespread disease, imposes substantial economic burdens on livestock production. The pathogen, Brucella abortus, has a particular affinity for infecting cattle and can also impact humans, potentially posing a public health risk in regions where the disease persists. To gain a deeper understanding of the pathogens biology and its interactions with the host, Pathogen-specific Genome-Scale Metabolic Models offer valuable insights. They aid in identifying novel pharmacological targets and biomarkers, which can inform innovative brucellosis control strategies. In this study, we developed and validated the first Genome-Scale Metabolic Model of B. abortus 2308, named iBP932, encompassing 932 genes, 1,140 reactions, and 999 metabolites. Furthermore, iBP932 capability to predict potential drug targets was demonstrated.

systems biology↗

bioRxiv2023

Differences in 5'untranslated regions highlight the importance of translational regulation of dosage sensitive genes

BackgroundUntranslated regions (UTRs) are important mediators of post-transcriptional regulation. The length of UTRs and the composition of regulatory elements within them are known to vary substantially across genes, but little is known about the reasons for this variation in humans. Here, we set out to determine whether this variation, specifically in 5UTRs, correlates with gene dosage sensitivity. ResultsWe investigated 5UTR length, the number of alternative transcription start sites, the potential for alternative splicing, the number and type of upstream open reading frames (uORFs) and the propensity of 5UTRs to form secondary structures. We explored how these elements vary by gene tolerance to loss-of-function (LoF; using the LOEUF metric), and in genes where changes in dosage are known to cause disease. We show that LOEUF correlates with 5UTR length and complexity. Genes that are most intolerant to LoF have longer 5UTRs (P<1x10-15), greater TSS diversity (P<1x 10-15), and more upstream regulatory elements than their LoF tolerant counterparts. We show that these differences are evident in disease gene-sets, but not in recessive developmental disorder genes where LoF of a single allele is tolerated. ConclusionsOur results confirm the importance of post-transcriptional regulation through 5UTRs in tight regulation of mRNA and protein levels, particularly for genes where changes in dosage are deleterious and lead to disease. Finally, to support gene-based investigation we release a web-based browser tool, VuTR (https://vutr.rarediseasegenomics.org/), that supports exploration of the composition of individual 5UTRs and the impact of genetic variation within them.

genomics↗

bioRxiv2023

Development of a Plasmodium vivax biobank for functional ex vivo assays

BackgroundPlasmodium vivax is the second most prevalent cause of malaria yet remains challenging to study due to the lack of a continuous in vitro culture system, highlighting the need to establish a biobank of clinical isolates with multiple freezes per sample for use in functional assays. Different methods for cryopreserving parasite isolates were compared and subsequently the most promising one was validated. Enrichment of early- and late-stage parasites and parasite maturation were quantified to facilitate assay planning. MethodsIn order to compare cryopreservation protocols, nine clinical P. vivax isolates were frozen with four glycerolyte-based mixtures. Parasite recovery post thaw, post KCl-Percoll enrichment and in short-term in vitro culture was measured via slide microscopy. Enrichment of late-stage parasites by magnetic activated cell sorting (MACS) was measured. Short and long-term storage of parasites at either -80{degrees}C or liquid nitrogen were also compared. ResultsOf the four cryopreservation mixtures, one mixture (glycerolyte:serum:RBC at a 2.5:1.5:1 ratio) resulted in improved parasite recovery and statistically significant (P<0.05) enhancement in parasite survival in short-term in vitro culture. A parasite biobank was subsequently generated using this protocol resulting in a collection with 106 clinical isolates, each with 8 vials. The quality of the biobank was validated by measuring several factors from 47 thaws: the average reduction in parasitemia post-thaw (25.3%); the average fold enrichment post KCl-Percoll (6.65-fold); and the average percent recovery of parasites (22.0%, measured from 30 isolates). During short-term in vitro culture, robust maturation of ring stage parasites to later stages (>20% trophozoites, schizonts and gametocytes) was observed in 60.0% of isolates by 48 hours. Enrichment of mature parasite stages via MACS showed good reproducibility, with an average 30.0% post-MACS parasitemia and an average 5.30 x 105 parasites/vial. Finally, the effect of storage temperature was tested, and no large impacts from short-term (7 day) or long term (7 - 10 year) storage at -80{degrees}C on parasite recovery, enrichment or viability was observed. ConclusionsHere, an optimized freezing method for P. vivax clinical isolates is demonstrated as a template for the generation and validation of a parasite biobank for use in functional assays.

microbiology↗

bioRxiv2022

A microfluidics-assisted methodology for label-free isolation of CTCs with downstream methylation analysis of cfDNA in lung cancer

Lung cancer (LC) is a major cause of mortality. Late diagnosis, associated with limitations in tissue biopsies for adequate tumor characterization contribute to limited survival of lung cancer patients. Liquid biopsies have been introduced to improve tumor characterization through the analysis of biomarkers, including circulating tumour cells (CTCs) and cell-free DNA (cfDNA). Considering their availability in blood, several enrichment strategies have been developed to augment circulating biomarkers for improving diagnostic, prognostic and treatment efficacy assessment; often, however, only one biomarker is tested. In this work we developed and implemented a microfluidic chip for label-free enrichment of CTCs with a methodology for subsequent cfDNA analysis from the same cryopreserved sample. CTCs were successfully isolated in 38 of 42 LC patients with the microfluidic chip. CTCs frequency was significantly higher in LC patients with advanced disease. A cut-off of 1 CTC/mL was established for diagnosis (sensitivity=76.19%, specificity=100%) and in patients with late-stage lung cancer, the presence of [≥] 5 CTCs/mL was significantly associated with shorter overall survival. MIR129-2me and ADCY4me panel of cfDNA methylation performed well for LC detection, whereas MIR129-2me combined with HOXA11me allowed for patient risk stratification. Analysis of combinations of biomarkers enabled the definition of panels for LC diagnosis and prognosis. Overall, this study demonstrates that multimodal analysis of tumour biomarkers via microfluidic devices may significantly improve LC characterization in cryopreserved samples, constituting a reliable source for continuous disease monitoring.

bioengineering↗

bioRxiv2021

Parallel Implementation of Smith-Waterman Algorithm on FPGA

In bioinformatics, alignment is an essential technique for finding similarities between biological sequences. Usually, the alignment is performed with the Smith-Waterman (SW) algorithm, a well-known sequence alignment technique of high-level precision based on dynamic programming. However, given the massive data volume in biological databases and their continuous exponential increase, high-speed data processing is necessary. Therefore, this work proposes a parallel hardware design for the SW algorithm with a systolic array structure to accelerate the Forward and Backtracking steps. For this purpose, the architecture calculates and stores the paths in the Forward stage for pre-organizing the alignment, which reduces the complexity of the Backtracking stage. The backtracking starts from the maximum score position in the matrix and generates the optimal SW sequence alignment path. The architecture was validated on Field-Programmable Gate Array (FPGA), and synthesis analyses have shown that the proposed design reaches up to 79.5 Giga Cell Updates per Second (GCPUS).

bioinformatics↗

bioRxiv2019

Molecular Basis for G-protein-Coupled Receptor (GPCR) Activation and Biased Signalling at the Platelet Thrombin Receptor Proteinase Activated Receptor-4 (PAR4)

Proteinase Activated Receptor-4 (PAR4) is a member of the proteolytically-activated PAR family of G-Protein-coupled Receptors (GPCRs). PARs are activated following proteolytic cleavage of the receptor N-terminus by enzymes such as thrombin, trypsin, and cathepsin-G to reveal the receptor-activating motif termed the tethered ligand. The tethered ligand binds intramolecularly to the receptor and triggers receptor signalling and cellular responses. In spite of this unusual mechanism of activation, PARs are fundamentally peptide receptors and can also be activated by exogenous application of short synthetic peptides derived from the tethered ligand sequence. In order to gain a better understanding of the molecular basis for PAR4-dependent signalling, we examined signalling responses to a library of peptides derived from the canonical PAR4 activating peptide (PAR4-AP), AYPGKF-NH2. We examined peptide residues involved in activation of the Gq/11-coupled calcium signalling pathway, {beta}-arrestin recruitment, and mitogen-activated protein kinase pathway activation. The peptide N-methyl-alanine-YPGKF-NH2 was identified as a compound that is a poor activator of PAR4-dependent calcium signalling but was fully competent in recruiting {beta}-arrestin-1 and -2. In order to gain a better understanding of the ligand-binding pocket, we used in silico docking to identify key residues involved in PAR4 interaction with AYPGKF-NH2. The predicted interactions were verified by site-directed mutagenesis and analysis of calcium signalling and {beta}-arrestin-1/-2 recruitment following proteolytic activation (with thrombin) or activation with the synthetic agonist peptide (AYPGKF-NH2). We determined that a key extracellular loop-2 aspartic acid residue (Asp230) is critical for signalling following both proteolytic and peptide activation of PAR4. Finally, we investigated platelet aggregation in response to AyPGKF-NH2 (a peptide with D-tyrosine in position two) which is unable to activate calcium signalling, and AYPGRF-NH2 a peptide that is equipotent to the parental peptide AYPGKF-NH2 for calcium signalling but is more potent at recruiting {beta}-arrestins. We found that AyPGKF-NH2 fails to activate platelets while AYPGRF-NH2 causes a platelet aggregation response that is greater than that seen with the parental peptide and is comparable to that seen with thrombin stimulation. Overall, these studies uncover molecular determinants for agonist binding and signalling through a non-canonically activated GPCR and provide a template for development of small molecule modulators of PAR4.

pharmacology and toxicology↗

bioRxiv2018

C/VDdb: a multi-omics expression profiling database for a knowledge-driven approach in cardiovascular disease (CVD)

The cardiovascular disease (C/VD) database is an integrated and clustered information resource that covers multi-omic studies (microRNA, genomics, proteomics and metabolomics) of cardiovascular-related traits with special emphasis on coronary artery disease (CAD). This resource was built by mining existing literature and public databases and thereafter manual biocuration was performed. To enable integration of omic data from distinct platforms and species, a specific ontology was applied to tie together and harmonise multi-level omic studies based on gene and protein clusters (CluSO) and mapping of orthologous genes (OMAP) across species.\n\nCAD continues to be a leading cause of death in the population worldwide, and it is generally thought to be an age-related disease. However, CAD incidence rates are now known to be highly influenced by environmental factors and interactions, in addition to genetic determinants. With the complexity of CAD aetiology, there is a difficulty in research studies to elucidate general elements compared to other cardiovascular diseases.\n\nData from 92 studies, covering 13945 molecular entries (4353 unique molecules) is described, including data descriptors for experimental setup, study design, discovery-validation sample size and associated fold-changes of the differentially expressed molecular features (p-value<0.05). A dedicated interactive web interface, equipped with a multi-parametric search engine, data export and indexing menus are provided for a user-accessible browsing experience.\n\nThe main aim of this work was the development of a data repository linking clinical information and molecular differential expression in several CVD-related traits from multi-omics studies (genomics, transcriptomics, proteomics and metabolomics). As an example case of how to query and identify data sets within the database framework and concomitantly demonstrate the database utility, we queried CAD-associated studies and performed a systems-level integrative analysis.\n\nURL: www.padb.org/cvd

systems biology↗

bioRxiv2018

Accurate Filtering of Privacy-Sensitive Information in Raw Genomic Data

Sequencing thousands of human genomes has enabled breakthroughs in many areas, among them precision medicine, the study of rare diseases, and forensics. However, mass collection of such sensitive data entails enormous risks if not protected to the highest standards. In this article, we follow the position and argue that post-alignment privacy is not enough and that data should be automatically protected as early as possible in the genomics workflow, ideally immediately after the data is produced. We show that a previous approach for filtering short reads cannot extend to long reads and present a novel filtering approach that classifies raw genomic data (i.e., whose location and content is not yet determined) into privacy-sensitive (i.e., more affected by a successful privacy attack) and non-privacy-sensitive information. Such a classification allows the fine-grained and automated adjustment of protective measures to mitigate the possible consequences of exposure, in particular when relying on public clouds. We present the first filter that can be indistinctly applied to reads of any length, i.e., making it usable with any recent or future sequencing technologies. The filter is accurate, in the sense that it detects all known sensitive nucleotides except those located in highly variable regions (less than 10 nucleotides remain undetected per genome instead of 100,000 in previous works). It has far less false positives than previously known methods (10% instead of 60%) and can detect sensitive nucleotides despite sequencing errors (86% detected instead of 56% with 2% of mutations). Finally, practical experiments demonstrate high performance, both in terms of throughput and memory consumption.

bioinformatics↗

bioRxiv2018

Sensitivity Levels: Optimizing the Performance of Privacy Preserving DNA Alignment

The advent of high throughput next-generation sequencing (NGS) machines made DNA sequencing cheaper, but also put pressure on the genomic life-cycle, which includes aligning millions of short DNA sequences, called reads, to a reference genome. On the performance side, efficient algorithms have been developed, and parallelized on public clouds. On the privacy side, since genomic data are utterly sensitive, several cryptographic mechanisms have been proposed to align reads securely, with a lower performance than the former, which in turn are not secure. This manuscript proposes a novel contribution to improving the privacy performance product in current genomic studies. Building on recent works that argue that genomics data needs to be x treated according to a threat-risk analysis, we introduce a multi-level sensitivity classification of genomic variations. Our classification prevents the amplification of possible privacy attacks, thanks to promoting and partitioning mechanisms among sensitivity levels. Thanks to this classification, reads can be aligned, stored, and later accessed, using different security levels. We then extend a recent filter, which detects the reads that carry sensitive information, to classify reads into sensitivity levels. Finally, based on a review of the existing alignment methods, we show that adapting alignment algorithms to reads sensitivity allows high performance gains, whilst enforcing high privacy levels. Our results indicate that using sensitivity levels is feasible to optimize the performance of privacy preserving alignment, if one combines the advantages of private and public clouds.

bioinformatics↗