Biology subjects

Sopena-Rios, M.

Publications and source records attributed to Sopena-Rios, M..

4 recordsLinked to original sources

bioRxiv2026

Single-cell atlas of transcript usage remodelling in antiviral immune responses across human populations

Humans exhibit substantial interindividual variation in their immune responses to infection, yet the contribution of transcript usage --the relative abundance of gene isoforms-- to this variation remains poorly understood. Here, we generate the first single-cell atlas of transcript usage variation during early responses to influenza A virus and SARS-CoV-2 across 160 individuals of African and European ancestry. We show that viral stimulation induces widespread remodelling of transcript usage across all major immune lineages, with changes that are largely lineage-restricted and frequently undetected at the gene expression level. We further find that ancestry-associated effects on transcript usage are predominantly cell type-specific and contribute to population differences in antiviral responses. In addition, the genetic regulation of transcript usage during stimulation differs between influenza A and SARS-CoV-2, pointing to virus-dependent regulatory architectures. Together, our findings establish transcript usage as a dynamic regulatory layer shaping responses to viral infection across immune cell types and human populations, providing new insights into the molecular basis of variation in human antiviral immunity.

immunology↗

bioRxiv2025

Multimodal data analysis reveals asynchronous aging dynamics across female reproductive organs

Female reproductive aging is a complex process with profound systemic health implications, yet the molecular and structural dynamics of aging across reproductive organs and tissues remain largely unexplored. Here, we integrate deep learning-based analysis of 1,112 histological images with RNA-seq data from 659 samples across seven reproductive organs in 304 female donors aged 20-70 years. We show that female reproductive organs and tissues have asynchronous aging dynamics: while the ovary and vagina age gradually, the uterus undergoes an abrupt transcriptional and cellular transition around the age of menopause. Tissue segmentation highlights that the myometrium in the uterine wall is the most age-affected tissue, marked by extracellular matrix remodeling and immune activation. Across reproductive organs, the epithelial tissue is also strongly affected by age, with the vaginal epithelium showing a unique sharp menopausal transition. Integration via multi-omics factor analysis links these tissue-specific histological transformations to specific molecular shifts, many with nonlinear expression trajectories and enriched in heritable reproductive traits such as pelvic organ prolapse and age at menarche. These findings position menopause as a key inflection point in female aging and provide insights with tissue-specific focus to support healthier menopausal transitions and reduce age-related disease risk.

genomics↗

bioRxiv2024

Convergent gene expression in epithelial cells illuminates the evolution of uterine receptivity

The epithelium of the uterine endometrium is the first maternal interface encountered by the embryo, and plays crucial roles in the maternal-embryonic crosstalk necessary to embryo implantation. Mechanisms of embryo implantation are highly variable between mammals: humans and mice have convergently evolved similar embryo implantation phenotypes, where the embryo embeds in the maternal mucosa, which differs from the ancestral mammalian and primate phenotypes. This phenomenon is thought to be partly controlled by maternal epithelial receptivity signals during the window of implantation. Here, we combined endometrial epithelial organoid models and single-cell transcriptomics to investigate how gene expression has evolved in endometrial epithelial cells between human, non-human primates and mouse at key time points in the hormonal cycle. We discovered that many maternal genes involved in uterine receptivity and embryo implantation exhibit more similar expression patterns between human and mouse compared to macaque and marmoset. In particular, we show that the endometrial expression of LIF, a crucial actor of endometrial receptivity in both human and mouse, is likely an evolutionary convergence rather than a conserved feature as previously hypothesised.

evolutionary biology↗

bioRxiv2022

In vivo single-cell profiling of lncRNAs during Ebola virus infection

Long non-coding RNAs (lncRNAs) are pivotal mediators of systemic immune response to viral infection, yet most studies concerning their expression and functions upon immune stimulation are limited to in vitro bulk cell populations. This strongly constrains our understanding of how lncRNA expression varies at single-cell resolution, and how their cell-type specific immune regulatory roles may differ compared to protein-coding genes. Here, we perform the first in-depth characterization of lncRNA expression variation at single-cell resolution during Ebola virus (EBOV) infection in vivo. Using bulk RNA-sequencing from 119 samples and 12 tissue types, we significantly expand the current macaque lncRNA annotation. We then profile lncRNA expression variation in immune circulating single-cells during EBOV infection and find that lncRNAs expression in fewer cells is a major differentiating factor from their protein-coding gene counterparts. Upon EBOV infection, lncRNAs present dynamic and mostly cell-type specific changes in their expression profiles especially in monocytes, the main cell type targeted by EBOV. Such changes are associated with gene regulatory modules related to important innate immune responses such as interferon response and purine metabolism. Within infected cells, several lncRNAs have positively and negatively correlated expression with viral load, suggesting that expression of some of these lncRNAs might be directly hijacked by EBOV to attack host cells. This study provides novel insights into the roles that lncRNAs play in the host response to acute viral infection and paves the way for future lncRNA studies at single-cell resolution.

genomics↗