Rubén Grillo-Risco

The paper analyzes single-cell data from multiple sclerosis patients to identify sex-specific molecular differences in brain and immune cells across disease progression.

This study identifies consistent sex differences in gut microbiota of MS patients across multiple cohorts, highlighting the importance of sex as a variable in microbiome research.

The paper analyzes transposable elements in Parkinson Disease datasets to build a cell-type specific atlas and explore their role in sex differences.

MetaOmixTools provides a web-based platform for meta-analysis of ranked features and functional enrichment, enabling integration of multi-study omics data to identify conserved biological insights.

This study identifies sex differences in gene expression, cell-cell communication, and pathway activation in Parkinson's Disease through meta-analysis of single-cell transcriptomic data.

MetaFun performs functional meta-analysis of transcriptomic datasets to uncover sex differences across multiple omics studies.

This study identifies severity- and phase-specific biomarker genes for spinal cord injury using transcriptomic analysis and develops a web tool for exploring results.

This study identifies sex-based differences in Parkinson's disease transcriptomics through meta-analysis of 267 samples across three brain regions, revealing sex-specific gene expression and pathway alterations.

This paper evaluates sex bias in housekeeping gene expression in adipose tissue using transcriptomics data and identifies sex-unbiased housekeeping genes suitable for use as internal controls.