Publications by authors named "Gesmira Molla"
To elucidate aging-associated cellular population dynamics, we present , a single-cell transcriptome atlas profiling over 20 million cells from 623 mouse tissues across different life stages, sexes, and genotypes. This comprehensive dataset reveals more than 3,000 unique cellular states and over 200 aging-associated cell populations. Our panoramic analysis uncovered organ-, lineage-, and sex-specific shifts of cellular dynamics during lifespan progression.
View Article and Find Full Text PDFThe Human BioMolecular Atlas Program (HuBMAP) aims to construct a reference 3D structural, cellular, and molecular atlas of the healthy adult human body. The HuBMAP Data Portal (https://portal.hubmapconsortium.
View Article and Find Full Text PDFTo elucidate the aging-associated cellular population dynamics throughout the body, here we present PanSci, a single-cell transcriptome atlas profiling over 20 million cells from 623 mouse tissue samples, encompassing a range of organs across different life stages, sexes, and genotypes. This comprehensive dataset allowed us to identify more than 3,000 unique cellular states and catalog over 200 distinct aging-associated cell populations experiencing significant depletion or expansion. Our panoramic analysis uncovered temporally structured, organ- and lineage-specific shifts of cellular dynamics during lifespan progression.
View Article and Find Full Text PDFArticle Synopsis
- Mapping single-cell sequencing profiles to existing reference datasets allows for more accurate analysis compared to unsupervised methods, especially when it comes to gene expression data.
- The new 'bridge integration' method connects various single-cell datasets by utilizing a multiomic dataset as a reference point, aiding in the reconstruction of unimodal datasets.
- This approach enhances the analysis of different molecular measurements, such as gene expression and chromatin accessibility, while improving computational efficiency and scalability, particularly in integrating extensive human immune cell profiles.