Pablo E. García-Nieto

CZ CELLxGENE Discover provides a platform for scalable exploration and analysis of aggregated single-cell transcriptomic data across multiple studies.

The paper identifies transcriptome diversity as a major source of systematic bias in RNA-seq data and shows it explains significant variability in gene expression across organisms and datasets.

The paper catalogs somatic mutations across 36 tissues from 7,500 samples, revealing tissue-specific mutation profiles and selection pressures.

This study identifies the INO80 chromatin remodeler's role in metabolic stability through TOR signaling and histone acetylation regulation in yeast, with implications for human cancer.