Biology subjects

Olaso, R.

Publications and source records attributed to Olaso, R..

15 recordsLinked to original sources

bioRxiv2026

Unraveling the potential of short and long read sequencing for human genome profiling

BackgroundShort read sequencing technologies have dominated the field of human whole genome sequencing in the past years in terms of cost, throughput, and accuracy. However, thanks to recent technological evolution, long read approaches have become increasingly competitive and complementary to short reads. With the gap in the cost per genome closing slowly between both approaches, long reads might replace short read sequencing in future research and clinical applications. Still, comprehensive evaluation is necessary to conclude on the performance and general advantages of each technology. ResultsIn this study, we compared the latest chemistries of major suppliers of short and long read technologies: Illumina short reads, Illumina Complete Long Reads (ICLR), Pacific Biosciences HiFi reads (PacBio), and Oxford Nanopore Technologies long reads (ONT). Using the HG002 human reference sample and established bioinformatics guidelines, we assessed their variant calling performance against the latest available truth sets at different levels of coverage. For single nucleotide variant detection, all technologies were equivalent. Despite the latest improvements in chemistry, indel calling with ONT continues to lag in accuracy behind other technologies. In contrast, long reads delivered a clear advantage in structural variant detection, surpassing short reads in both accuracy and sensitivity. The hybrid ICLR approach achieved intermediate performance, narrowing the gap between short and long read sequencing. Furthermore, long reads enhanced haplotype-phasing resolution, enabling the phasing of over 80% of the genome. ConclusionsThese findings highlight the specific strengths and limitations of recent sequencing technologies, aiding the decision-making in future research projects, technological platforms development, and clinical applications.

genomics↗

bioRxiv2024

Whole genome sequencing of four Ixodes species expands understanding of tick evolution

Ticks, hematophagous acari, pose a significant threat by transmitting various pathogens to their vertebrate hosts during feeding. Despite advances in tick genomics, high-quality genomes were lacking until recently, particularly in the genus Ixodes, which includes the main vectors of Lyme disease. Here, we present the complete genome sequences of four tick species, derived from a single female individual, with a particular focus on the European species Ixodes ricinus, achieving a chromosome-level assembly. Additionally, draft assemblies were generated for the three other Ixodes species, I. persulcatus, I. pacificus and I. hexagonus. The quality of the four genomes and extensive annotation of several important gene families have allowed us to study the evolution of gene repertoires at the level of the genus Ixodes and of the tick group. We have determined gene families that have undergone major amplifications during the evolution of ticks, while an expression atlas obtained for I. ricinus reveals striking patterns of specialization both between and within gene families. Notably, several gene family amplifications are associated with a proliferation of single-exon genes. The integration of our data with existing genomes establishes a solid framework for the study of gene evolution, improving our understanding of tick biology. In addition, our work lays the foundations for applied research and innovative control targeting these organisms.

genomics↗

bioRxiv2024

A genome wide search for non-additive allele effects identifies PSKH2 as involved in the variability of Factor V activity.

BackgroundFactor V (FV) is a key molecular player in the coagulation cascade. FV plasma levels have been associated with several human diseases, including thrombosis, bleeding and diabetic complications. So far, two genes have been robustly found through genome wide association analyses to contribute in the inter-individual variability of plasma FV levels: structural F5 gene and PLXDC2. MethodsWe used the underestimated Brown-Forsythe methodology implemented in the Quicktest software to search for non-additive genetic effects that could contribute to the inter-individual variability of FV plasma activity. QUICKTEST was applied to 4 independent GWAS studies (LURIC, MARTHA, MEGA and RETROVE) totaling 4,505 participants of European ancestry with measured FV plasma levels. Results obtained in the 4 cohorts were meta-analyzed using a fixed-effect model. Additional analyses involved exploring haplotype and genexgene interactions in downstream investigations. ResultsWe observed a genome-wide significant signal at PSKH2 locus, on chr8q21.3 with lead variant rs75463553 with no evidence for heterogeneity across cohorts (p = 0.518). Although rs75463553 did not show association with mean FV levels (p = 0.49), it demonstrated a robust significant (p = 8.4 10-9) association with the variance of FV plasma levels. Further analyses confirmed the reported association of PSKH2 with neutrophil biology and revealed that rs75463553 likely interact with two loci, GRIN2A and POM121L12, known for their involvement in smoking biology. ConclusionsThis comprehensive approach identifies the role of PSKH2 as a novel molecular player in the genetic regulation of FV, shedding light on the contribution of neutrophils to FV biology.

genetics↗

bioRxiv2023

CtBP2 triggers CCN1-induced metastatic dissemination of osteosarcoma cells in a non-hypoxic microenvironment

Osteosarcoma is the most prevalent pediatric solid bone tumor. These tumors are highly metastatic and frequently develop resistance to chemotherapy, leading to poor survival rate for patients. We found that C-terminal Binding Protein 2 (CtBP2) and Cysteine-rich protein 61 (CYR61/CCN1) expression level correlated positively in a panel of cell lines. In silico analysis of protein-protein interaction network revealed a link with stemness markers. We confirmed that CtBP2 influences stemness markers expression, cell clonogenicity, cell migration, matrix metalloproteinase activity and cell invasion. Surprisingly, using syngeneic tumor cells graft models, while induction of CtBP2 expression correlated with the metastatic dissemination process, it occurred only at the invasive front. Hypoxic conditions in central tumor region interfered with CtBP2 induction. Globally, we identify for the first time that CtBP2 is a required inducing factor in the CYR61-related metastatic progression of osteosarcoma. Moreover, we demonstrate that while CtBP2 is a downstream transcriptional target of CYR61 signaling cascade, it occurs only under non-hypoxic conditions. The present study suggests that CtBP2 may represent a potential pivotal target for therapeutic management of metastases spreading in osteosarcoma.

cancer biology↗

bioRxiv2022

Genetic population structure across Brittany and the downstream Loire basin provides new insights on the demographic history of Western Europe

European genetic ancestry originates from three main ancestral populations - Western hunter-gatherers, early European farmers and Yamnaya Eurasian herders - whose edges geographically met in present-day France. Despite its central role to our understanding of how the ancestral populations interacted and gave rise to modern population structure, the population history of France has remained largely understudied. Here, we analysed the high-coverage whole-genome sequences and genome-wide genotype profiles of respectively 856 and 3,234 present-day individuals from the northern half of France, and merged them with publicly available present-day and ancient Europe-wide genotype datasets. We also explored, for the first time, the whole-genome sequences of six mediaeval individuals (300-1100 CE) from Western France to gain insights into the genetic impact of what is commonly known as the Migration Period in Europe. We found extensive fine-scale population structure across Brittany and the downstream Loire basin, emphasising the need for investigating local populations to better understand the distribution of rare and putatively deleterious variants across space. Overall, we observed an increased population differentiation between the northern and southern sides of the river Loire, which are characterised by different proportions of steppe vs. Neolithic-related ancestry. Samples from Western Brittany carry the largest levels of steppe ancestry and show high levels of allele sharing with individuals associated with the Bell Beaker complex, levels that are only comparable with those found in populations lying on the northwestern edges of Europe. Together, our results imply that present-day individuals from Western Brittany retain substantial legacy of the genetic changes that occurred in Northwestern Europe following the arrival of the Bell Beaker people c. 2500 BCE. Such genetic legacy may explain the sharing of disease-related alleles with other present-day populations from Western Britain and Ireland.

genetics↗

bioRxiv2021

ContaTester: Fast cross-contamination estimation and identification for large human sequencing cohorts

BackgroundInterest in genomic medicine for human health studies and clinical applications is rapidly increasing. Clinical applications require contamination-free samples to avoid misleading results and provide a sound basis for diagnosis. ResultsHere we present ContaTester, a tool which requires only allele balance information gathered from a VCF file to detect cross-contamination in germline human DNA samples. Based on a regression model of allele balance distribution, ContaTester allows fast checking of contamination levels for single samples or large cohorts (less than two minutes per sample). We demonstrate the efficiency of ContaTester using experimental validations: ContaTester shows similar results to methods requiring alignment data but with a significantly reduced storage footprint and less computation time. Additionally, for contamination levels above 5%, ContaTester can identify contaminants across a cohort, providing important clues for troubleshooting and quality assessment. ConclusionsContaTester estimates contamination levels from VCF files generated from whole genome sequencing normal sample and provides reliable contaminant identification for cohorts or experimental batches.

bioinformatics↗

bioRxiv2021

Disentangling heterogeneity of Malignant Pleural Mesothelioma through deep integrative omics analyses

Malignant Pleural Mesothelioma (MPM) is an aggressive cancer with rising incidence and challenging clinical management. Using the largest series of whole-genome sequencing data integrated with transcriptomic and epigenomic data using multi-omic factor analysis, we demonstrate that MPM heterogeneity arises from four sources of variation: tumor cell morphology, ploidy, adaptive immune response, and CpG island methylator phenotype. Previous genomic studies focused on describing only the tumor cell morphology factor, although we robustly find the three other sources in all publicly available cohorts. We prove how these sources of variation explain the biological functions performed by the cancer cells, and how genomic events shape MPM molecular profiles. We show how these new sources of variation help understand the heterogeneity of the clinical behavior of MPM and drug responses measured in cell lines. These findings unearth the interplay between MPM functional biology and its genomic history, and ultimately, inform classification, prognostication and treatment. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/461908v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@b6c43corg.highwire.dtl.DTLVardef@10d45a9org.highwire.dtl.DTLVardef@58746eorg.highwire.dtl.DTLVardef@143f880_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2021

Penetrance estimation of SORL1 loss-of-function variants using a family-based strategy adjusted on APOE genotypes suggest a non-monogenic inheritance

For complex disorders, estimating the age-related penetrance associated with rare variants of strong effect is essential before a putative use for genetic counseling or disease prevention. However, rarity and co-occurrence with other risk factors make such estimations difficult. In the context of Alzheimer disease, we present a survival model to estimate the penetrance of SORL1 rare (allele frequency< 1%) Loss-of-Function variants (LoF) while accounting for APOE-{varepsilon}4, the main risk factor (allele frequency[~] 14% in Caucasians). We developed an efficient strategy to compute penetrance estimates accounting for both common and rare genetic variants based on available penetrance curves associated with common risk factors and using incomplete pedigree data to quantify the additional risk conferred by rare variants. Our model combines: (i) a baseline for non-carriers of SORL1 LoF variants, stratified by APOE genotypes derived from the Rotterdam study and (ii) an age-dependent proportional hazard effect for SORL1 LoF variants estimated from pedigrees with a proband carrying such a variant. We embed this model into an Expectation-Maximisation algorithm to accommodate for missing genotypes. Confidence intervals were computed by bootstraps. To correct for ascertainment bias, proband phenotypes were omitted. We obtained penetrance curves associated with SORL1 LoF variants at the digenic level. By age 70, we estimate a 100% penetrance of SORL1 LoF variants only among APOE-{varepsilon}4{varepsilon}4 carriers, while penetrance is 56%[40% - 72%] among {varepsilon}4 heterozygous carriers and 37%[26% - 51%] among {varepsilon}4 non-carriers. We conclude that rare SORL1 LoF variants should not be used for genetic counseling regardless of the APOE status.

genetics↗

bioRxiv2021

The JAK2-STAT3 pathway controls a beneficial proteostasis response of reactive astrocytes in Huntington disease

Huntingtons disease is a fatal neurodegenerative disease characterized by striatal neurodegeneration, aggregation of mutant Huntingtin and the presence of reactive astrocytes. Astrocytes are important partners for neurons and engage in a specific reactive response in Huntingtons disease that involves morphological, molecular and functional changes. How reactive astrocytes contribute to Huntingtons disease is still an open question, especially because their reactive state is poorly reproduced in experimental mouse models. Here, we show that the JAK2-STAT3 pathway, a central cascade controlling astrocyte reactive response, is activated in the putamen of Huntingtons disease patients. Selective activation of this cascade in astrocytes through viral gene transfer reduces the number and size of mutant Huntingtin aggregates in neurons and improves neuronal defects in two complementary mouse models of Huntingtons disease. It also reduces striatal atrophy and increases glutamate levels, two central clinical outcomes measured by non-invasive magnetic resonance imaging. Moreover, astrocyte-specific transcriptomic analysis shows that activation of the JAK2-STAT3 pathway in astrocytes coordinates a transcriptional program that increases their intrinsic proteolytic capacity, through the lysosomal and ubiquitin-proteasome degradation systems. This pathway also enhances their production and exosomal release of the co-chaperone DNAJB1, which contributes to mutant Huntingtin clearance in neurons. Together, our results show that the JAK2-STAT3 pathway controls a beneficial proteostasis response in reactive astrocytes in Huntingtons disease, which involves bi-directional signalling with neurons to reduce mutant Huntingtin aggregation, eventually improving disease outcomes.

neuroscience↗

bioRxiv2020

Evaluation of saliva as a source of accurate whole-genome and microbiome sequencing data

This study sets out to establish the suitability of saliva-based whole-genome sequencing (WGS) through a comparison against blood-based WGS. To fully appraise the observed differences, we developed a novel technique of pseudo-replicates. We also investigated the potential of characterising individual salivary microbiomes from non-human DNA fragments found in saliva. We observed the majority of discordant genotype calls between blood and saliva calls fell into known regions of the human genome that are typically sequenced with low confidence; and could be identified by quality control measures. Pseudo-replication demonstrated that the levels of discordance between blood- and saliva-derived WGS data were entirely similar to what one would expect between technical replicates if an individuals blood or saliva had been sequenced twice. Finally, we successfully sequenced salivary microbiomes in parallel to human genomes as demonstrated by a comparison against the Human Microbiome Project. Author SummaryDNA is usually collected from blood for the analysis of human genomes. In France, a new and very large genetic dataset will be created where selected participants will be sent saliva-collection kits in the post as this data collection method presents numerous logistical benefits. It has been previously shown that good quality genetic data can be created from saliva, though existing studies have often not considered the latest technologies or have only analysed a very small number of individuals. In this study, we have analysed genetic data derived from saliva for 39 individuals to give a firm conclusion that the proposed genome sequencing approach of the new French dataset will be capable of provided high quality data by making a comparison to pre-existing genetic data derived from blood for these 39 individuals. In order to do so, we developed a novel method (presented here) to establish the similarity between two sets of genetic data for the same individual that are generated from separate DNA samples. Finally, we have also demonstrated an added bonus of colleting saliva samples: that it is possible to gather both human genetic data and potentially interesting salivary microbiome data at the same time by separating and analysing in parallel human and non-human DNA fragments.

genetics↗

bioRxiv2020

The H2A.J histone variant contributes to Interferon-Stimulated Gene expression in senescence by its weak interaction with H1 and the derepression of repeated DNA sequences

The histone variant H2A.J was previously shown to accumulate in senescent human fibroblasts with persistent DNA damage to promote inflammatory gene expression, but its mechanism of action was unknown. We show that H2A.J accumulation contributes to weakening the association of histone H1 to chromatin and increasing its turnover. Decreased H1 in senescence is correlated with increased expression of some repeated DNA sequences, increased expression of STAT/IRF transcription factors, and transcriptional activation of Interferon-Stimulated Genes (ISGs). The H2A.J-specific Val-11 moderates the transcriptional activity of H2A.J, and H2A.J-specific Ser-123 can be phosphorylated in response to DNA damage with potentiation of its transcriptional activity by the phospho-mimetic S123E mutation. Our work demonstrates the functional importance of H2A.J-specific residues and potential mechanisms for its function in promoting inflammatory gene expression in senescence.

genetics↗

bioRxiv2020

MORFEE: a new tool for detecting and annotating single nucleotide variants creating premature ATG codons from VCF files

SummaryVariants in 5UTR regions that create upstream translation initiation AUG codons are a class of neglected non coding variations. When they associate with a premature stop codon and create upstream open reading frames (uORFs) whose translation competes with that of natural proteins, they can have strong impact on human diseases. We here describe MORFEE, a new bioinformatics tool that detects, annotates and predicts, from a standard VCF file, the creation of uORF by any 5UTR variants on uORF creation. MORFEE was applied to two genomic resources and identified candidate functional variants that could explain statistical association signals observed in the context of Genome Wide Association Studies or could be responsible for rare forms of diseases. In conclusion MORFEE is an easy-to-use tool complementary to existing ones that can help resolving genetic investigations that remained so far unfruitful. Availability and implementationMORFEE is written in R with code and package available at https://github.com/daissi/MORFEE. Contactdavid-alexandre.tregouet@inserm.fr; david-alexandre.tregouet@u-bordeaux.fr

bioinformatics↗

bioRxiv2020

A novel rare c. -39C>T mutation in the PROS1 5'UTR causing PS deficiency by creating a new upstream translation initiation codon and inhibiting the production of the natural protein.

Inherited Protein S deficiency (PSD) (MIM176880) is a rare automosal dominant disorder caused by rare mutations, mainly located in the coding sequence of the structural PROS1 gene, and associated with an increased risk of venous thromboembolism. To identify the molecular defect underlying PSD observed in an extended French pedigree with 7 PSD affected members in who no candidate deleterious PROS1 mutation was detected by Sanger sequencing of PROS1 exons and their flanking intronic regions or via a MLPA approach, a whole genome sequencing strategy was adopted. This led to the identification of a never reported C to T substitution at c.-39 from the natural ATG codon of the PROS1 gene that completely segregates with PSD in the whole family. This substitution ACG->ATG creates a new start codon upstream of the main ATG. We experimentally demonstrated that the variant generates a novel overlapping ORF and inhibits the translation of the wild type protein from the main ORF in HeLa cells. This work describes the first example of 5UTR PROS1 mutation causing PSD through the creation of an upstream ORF, a mutation that is not predicted to be deleterious by standard annotation softwares.

genetics↗

bioRxiv2019

Comprehensive analysis of RNA-seq kits for standard, low and ultra-low quantity samples

High-throughput RNA-sequencing has become the gold standard method for whole-transcriptome gene expression analysis, and is widely used in numerous applications to study cell and tissue transcriptomes. It is also being increasingly used in a number of clinical applications, including expression profiling for diagnostics and alternative transcript detection. However, despite its many advantages, RNA sequencing can be challenging in some situations, for instance in cases of low input amounts or degraded RNA samples. Several protocols have been proposed to overcome these challenges, and many are available as commercial kits. In this study, we comprehensively test three recent commercial technologies for RNA-seq library preparation (TruSeq, SMARTer and SMARTer Ultra-Low) on human reference tissue preparations, using standard (1g), low (100 and 10 ng) and ultra-low (< 1 ng) input amounts, and for mRNA and total RNA, stranded or unstranded. The results are analyzed using read quality and alignment metrics, gene detection and differential gene expression metrics. Overall, we show that the TruSeq kit performs well with an input amount of 100 ng, while the SMARTer kit shows degraded performance for inputs of 100 and 10 ng, and the SMARTer Ultra-Low kit performs relatively well for input amounts < 1 ng. All the results are discussed in detail, and we provide guidelines for biologists for the selection of a RNA-seq library preparation kit.

genomics↗

bioRxiv2018

A novel nonsense variant in SUPT20H gene associated with Rheumatoid Arthritis identified by Whole Exome Sequencing of multiplex families

The triggering and development of Rheumatoid Arthritis (RA) is conditioned by environmental and genetic factors. Despite the identification of more than one hundred genetic variants associated with the disease, not all the cases can be explained. Here, we performed Whole Exome Sequencing in 9 multiplex families (N=30) to identify rare variants susceptible to play a role in the disease pathogenesis. We pre-selected 73 genes which carried rare variants with a complete segregation with RA in the studied families. Follow-up linkage and association analyses with pVAAST highlighted significant RA association of 24 genes (p-value < 0.05 after 106 permutations) and pinpointed their most likely causal variant. We re-sequenced the 10 most significant likely causal variants (p-value [≤] 0.019 after 106 permutations) in the extended pedigrees and 9 additional multiplex families (N=110). Only one SNV in SUPT20H, c.73T>A (p.Lys25*), presented a complete segregation with RA in an extended pedigree with early-onset cases. In summary, we identified in this study a new variant associated with RA in SUPT20H gene. This gene belongs to several biological pathways like macro-autophagy and monocyte/macrophage differentiation, which contribute to RA pathogenesis. In addition, these results showed that analyzing rare variants using a family-based approach is a strategy that allows to identify RA risk loci, even with a small dataset.\n\nAuthor summaryRheumatoid arthritis (RA) is one of the most frequent auto-immune disease in the world. It causes joint swellings and pains which can lead to mobility impairment. To date, the scientific community has identified a hundred genes carrying variants predisposing to RA, in addition to the major gene HLA-DRB1. However, they do not explain all cases of RA. By examining nine families with multiple RA cases, we identified a new rare nonsense variant in SUPT20H gene, c.73T>A (p.Lys25*). This finding is supported by the literature as the SUPT20H gene regulates several biological functions, such as macro-autophagy or monocyte/macrophage differentiation, that contribute to RA pathogenesis.

genomics↗