Single-cell transcriptomics has revolutionised our understanding of the cellular complexity underlying neurodegenerative disorders by enabling the high-resolution profiling of individual brain cells.

A new single‑cell sequencing method is giving researchers a clearer view of how immune cells actually behave—capturing not just what they plan to do, but what they are doing in real time. The platform ...

Introduction Severe asthma is characterised by inflammation and structural remodelling of the airways, typically resistant to standard therapies. Mepolizumab, an anti-IL-5 biologic, reduces eosinophil ...

Ulcerative colitis (UC) is driven by mucosal inflammation and epithelial injury. Single cell RNA sequencing (scRNA-seq) enables high resolution profiling of immune, stromal and epithelial compartments ...

Color dimensionality reduction plots (UMAP, PCA, etc.) using a multi-dimensional color space derived from gene set scores — so you can visualize the activity of multiple gene programs simultaneously ...

Atherosclerosis, a chronic inflammatory arterial disease, involves complex interactions among diverse immune cells. Although single-cell RNA sequencing (scRNA-seq) has revealed cellular heterogeneity ...

A new research paper was published in Volume 18 of Aging-US on February 8, 2026, titled "Single-cell transcriptomics reveal intrinsic and systemic T cell aging in COVID-19 and HIV." In this study, ...

The single-cell genomics industry does not stop advancing, with a steady stream of new companies, kits, acquisitions, and more. One new company, ArgenTag, was founded in Argentina during the COVID-19 ...

scPairs is an R package for the systematic identification and multi-evidence evaluation of synergistic gene pairs in single-cell and spatial transcriptomics data. Unlike conventional pairwise ...

This manuscript by Kaur et al. identifies differential gene expression in distinct cell populations, specifically myeloid and lymphoid cells, following short-term exposure to e-cigarette aerosols with ...

The authors assess the impact of E-cigarette smoke exposure on mouse lungs using single-cell RNA sequencing. Air was used as control and several flavors (fruit, menthol, tobacco) were tested.