Biology subjects

Tsouris, A.

Publications and source records attributed to Tsouris, A..

8 recordsLinked to original sources

bioRxiv2026

Loss of the Y chromosome is transcriptionally silent in clear cell renal cell carcinoma and across cancer entities

Tumors in men often lose the Y chromosome. In some tumor types, this is predictive of poor outcome. Given the male predominance and high LOY frequency in clear cell renal cell carcinoma (ccRCC), we asked whether LOY might impact the transcriptome of ccRCC. We determined somatic Y chromosome status and performed differential expression analysis on tumor RNA-sequencing samples of two human ccRCC cohorts (TCGA-KIRC, CPTAC-ccRCC) and in an autochthonous murine ccRCC model with renal epithelium-specific deletion of Vhl, Trp53 and Rb1. We additionally derived five isogenic Y-deficient and five Y chromosome-retaining clones of the human ccRCC cell line 786-O. Across all three settings, transcriptional changes were largely restricted to the expected gene dosage effects of male-specific Y (MSY) and pseudoautosomal region (PAR) genes, without large effects on autosomal genes. At the pathway level, we identified a modest but reproducible response in the human cohorts, converging on cell cycle, ribosomal biogenesis and DNA repair genes. A pan-cancer meta-analysis across TCGA entities recovered the same pattern, with no autosomal gene showing a large consistent effect. In some entities, but not in ccRCC, cancer/testis antigen expression was higher in LOY tumors. We conclude that, apart from direct gene dosage, modest pathway-level shifts and altered silencing of cancer/testis antigens, LOY is transcriptionally silent in adult humans and mice. Y-chromosomal genes are therefore unlikely to act as transcriptional drivers of ccRCC and other cancer entities.

cancer biology↗

bioRxiv2026

Castling, a novel therapeutic concept for rewiring pathological gene-expression networks, enabled by the TRIPLE technology

Pathological conditions often arise from dysregulation of complex gene networks, with microRNAs (miRNAs) acting as central modulators. Disease progression is frequently characterized by upregulation of "disease-promoting" miRNA, suppressing beneficial pathways, and concomitant downregulation of "protective/therapeutic" miRNAs, normally restraining pathological programs. Since individual miRNAs coordinately regulate multiple genes, their manipulation represents powerful therapeutic intervention, yet synthetic or ectopically overexpressed miRNA mimics or inhibitors may perturb physiological miRNA processing and/or cause off-target effects. We hypothesized that pathological gene regulatory imbalances could instead be corrected by rewiring endogenous miRNA regulation. Specifically, by placing downregulated "protective/therapeutic" miRNAs under the control of promoters activated in pathology, and driving overexpression of "disease-promoting" miRNAs, thereby disabling the pathogenic program while inducing the therapeutic one in a single editing event. We termed this concept castling, after the chess move. For effective implementation of castling, we developed TRIPLE (Targeted Replacement Induced by Persistent Locus Editing), a novel genome-editing procedure enhancing homology-directed repair through sequential cleavage. As proof of concept, we castled miRNAs inversely regulated during onset of CAR T cell dysfunction in a model of chronic antigen stimulation. Castled CAR T cells exhibited a delayed dysfunction enabled by up- and downregulation of relevant gene subsets.

molecular biology↗

bioRxiv2023

Non-additive genetic components contribute significantly to population-wide gene expression variation

Gene expression variation, an essential step between genomic variation and phenotypic landscape, is collectively controlled by local (cis) and distant (trans) regulatory changes. Nevertheless, how these regulatory elements differentially influence the heritability of expression traits remains unclear. Here, we bridge this gap by analyzing the transcriptomes of a large diallel panel consisting of 323 unique hybrids originated from genetically divergent yeast isolates. We estimated the broad- and narrow-sense heritability across 5,087 transcript abundance traits and showed that non-additive components account for 36% of the phenotypic variance on average. By comparing allelic expression ratios in the hybrid and the corresponding parental pair, we identified regulatory changes in 25% of all cases, with a majority acting in trans. We further showed that trans-regulation could underlie coordinated expression variation across highly connected genes, resulting in significantly higher non-additive variance and most likely in some of the missing heritability of gene expression traits. HighlightsO_LIDiallel panel for dissecting genetic components underlying gene expression variation C_LIO_LINon-additive components account for 36% of gene expression trait heritability C_LIO_LIMost cis- regulatory variation is buffered by additional trans-acting variants C_LIO_LIGenes under trans- regulation show high non-additive variance and functional coherence C_LI

genetics↗

bioRxiv2023

Diallel panel reveals a significant impact of low-frequency genetic variants on gene expression variation in yeast

Unraveling the genetic sources of gene expression variation is essential to better understand the origins of phenotypic diversity in natural populations. Genome-wide association studies identified thousands of variants involved in gene expression variation, however, variants detected only explain part of the heritability. In fact, variants such as low-frequency and structural variants (SVs) are poorly captured in association studies. To assess the impact of these variants on gene expression variation, we explored a half-diallel panel composed of 323 hybrids originated from pairwise crosses of 26 natural Saccharomyces cerevisiae isolates. Using short- and long-read sequencing strategies, we established an exhaustive catalog of single nucleotide polymorphisms (SNPs) and SVs for this panel. Combining this dataset with the transcriptomes of all hybrids, we comprehensively mapped SNPs and SVs associated with gene expression variation. While SVs impact gene expression variation, SNPs exhibit a higher effect size with an overrepresentation of low-frequency variants compared to common ones. These results reinforce the importance of dissecting the heritability of complex traits with a comprehensive catalog of genetic variants at the population level.

genomics↗

bioRxiv2022

Contrasting genomic evolution between domesticated and wild Kluyveromyces lactis yeast populations

The process of domestication has variable consequences on genome evolution leading to different phenotypic signatures. Access to the complete genome sequences of a large number of individuals makes it possible to explore the different facets of this domestication process. Here, we sought to explore the genome evolution of the Kluyveromyces lactis yeast species, a well-known species for its involvement in dairy processes but also present in natural environments. Using a combination of short and long-read sequencing strategies, we investigated the genomic variability of 41 Kluyveromyces lactis isolates and found that the overall genetic diversity of this species is very high ({pi} = 2.9 x 10-2) compared to other species such as Saccharomyces cerevisiae ({pi} = 3 x 10-3). However, the domesticated dairy population shows a reduced level of diversity ({pi} = 7 x 10-4), probably due to a domestication bottleneck. In addition, this entire population is characterized by the introgression of the LAC4 and LAC12 genes, responsible for lactose fermentation and coming from the closely related species, Kluyveromyces marxianus, as previously described. Our results also highlighted that the LAC4/LAC12 gene cluster was acquired through multiple and independent introgression events. Finally, we also identified several genes that could play a role in adaptation to dairy environments through copy number variation. These genes are involved in sugar consumption, flocculation and drug resistance, and may play a role in dairy processes. Overall, our study illustrates contrasting genomic evolution and sheds new light on the impact of domestication processes on it.

genomics↗

bioRxiv2021

High-throughput functional analysis of natural variants in yeast

How natural variation affects phenotype is difficult to determine given our incomplete ability to deduce the functional impact of the polymorphisms detected in a population. Although current computational and experimental tools can predict and measure allele function, there has previously been no assay that does so in a high-throughput manner while also representing haplotypes derived from wild populations. Here, we present such an assay that measures the fitness of hundreds of natural alleles of a given gene without site-directed mutagenesis or DNA synthesis. With a large collection of diverse Saccharomyces cerevisiae natural isolates, we piloted this technique using the gene SUL1, which encodes a high-affinity sulfate permease that, at increased copy number, can improve the fitness of cells grown in sulfate-limited media. We cloned and barcoded all alleles from a collection of over 1000 natural isolates en masse and matched barcodes with their respective variants using PacBio long-read sequencing and a novel error-correction algorithm. We then transformed the reference S288C strain with this library and used barcode sequencing to track growth ability in sulfate limitation of lineages carrying each allele. We show that this approach allows us to measure the fitness conferred by each allele and stratify functional and nonfunctional alleles. Additionally, we pinpoint which polymorphisms in both coding and noncoding regions are detrimental to fitness or are of small effect and result in intermediate phenotypes. Integrating these results with a phylogenetic tree, we observe how often loss-of-function occurs and whether or not there is an evolutionary pattern to our observable phenotypic results. This approach is easily applicable to other genes. Our results complement classic genotype-phenotype mapping strategies and demonstrate a high-throughput approach for understanding the effects of polymorphisms across an entire species which can greatly propel future investigations into quantitative traits.

genetics↗

bioRxiv2020

nPhase: An accurate and contiguous phasing method for polyploids

While genome sequencing and assembly are now routine, we still do not have a full and precise picture of polyploid genomes. Phasing these genomes, i.e. deducing haplotypes from genomic data, remains a challenge. Despite numerous attempts, no existing polyploid phasing method provides accurate and contiguous haplotype predictions. To address this need, we developed nPhase, a ploidy agnostic pipeline and algorithm that leverage the accuracy of short reads and the length of long reads to solve reference alignment-based phasing for samples of unspecified ploidy (https://github.com/nPhasePipeline/nPhase). nPhase was validated on virtually constructed polyploid genomes of the model species Saccharomyces cerevisiae, generated by combining sequencing data of homozygous isolates. nPhase obtained on average >95% accuracy and a contiguous 1.25 haplotigs per haplotype to cover >90% of each chromosome (heterozygosity rate [≥]0.5%). This new phasing method opens the door to explore polyploid genomes through applications such as population genomics and hybrid studies.

genomics↗

bioRxiv2020

Genomic stability and adaptation of beer brewing yeasts during serial repitching in the brewery

Ale brewing yeast are the result of admixture between diverse strains of Saccharomyces cerevisiae, resulting in a heterozygous tetraploid that has since undergone numerous genomic rearrangements. As a result, comparisons between the genomes of modern related ale brewing strains show both extensive aneuploidy and mitotic recombination that has resulted in a loss of intragenomic diversity. Similar patterns of intraspecific admixture and subsequent selection for one haplotype have been seen in many domesticated crops, potentially reflecting a general pattern of domestication syndrome between these systems. We set out to explore the evolution of the ale brewing yeast, to understand both polyploid evolution and the process of domestication in the ecologically relevant environment of the brewery. Utilizing a common brewery practice known as repitching, in which yeasts are reused over multiple beer fermentations, we generated population time courses from multiple breweries utilizing similar strains of ale yeast. Applying whole-genome sequencing to the time courses, we have found that the same structural variations in the form of aneuploidy and mitotic recombination of particular chromosomes reproducibly rise to detectable frequency during adaptation to brewing conditions across multiple related strains in different breweries. Our results demonstrate that domestication of ale strains is an ongoing process and will likely continue to occur as modern brewing practices develop.

evolutionary biology↗