Fei Wu

The paper develops an immune proteomic signature (iPACE) from serum proteins in elderly patients that predicts cardiovascular risk and mortality.

The paper shows that simulated microgravity causes aging-like transcriptional changes in human organoids, with effects varying by tissue type.

This study uses simulated microgravity to model biological aging in humans, finding similar transcriptional changes to natural aging across multiple systems and aging hallmarks.

The paper identifies a distinct p16INK4a-associated senescence signature in human ovarian tissue through proteogenomic profiling and spatial analysis.

This study uses single-cell RNA sequencing to identify immune changes in the colon of Alzheimer's disease mice, finding reduced antibody-secreting cells and altered immune trafficking.

The paper establishes a senotype of doxorubicin-induced senescence in postmenopausal human ovarian tissue using single nuclei sequencing and proteomics.

This study shows that substrate stiffness influences doxorubicin-induced senescence and secretory profiles in human pulmonary fibroblasts, with collagen enrichment observed in high-stiffness conditions.

The paper identifies B cells as drivers of T cell immunosenescence and aging, showing that targeting B cells with CD20 antibodies can reverse age-related T cell dysfunction.

MTD is a pipeline that jointly analyzes host and meta-transcriptomes from RNA-seq data to quantify microbiome composition and correlate it with host gene expression.