Emma K. Costa

This study shows that lifelong mating in killifish affects liver aging in a sex-specific manner and is associated with younger transcriptomic and proteomic ages in humans.

MKMC enables reference-free transcriptomic analysis using k-mer representations, detecting isoform-specific events and matching alignment-based methods in differential expression and age prediction.

This study identifies brain macrophages in the African turquoise killifish that engulf brain extracellular material, showing age-related decline in engulfment capacity.

The paper creates a multi-tissue transcriptomic aging atlas in killifish, identifies age-altered pathways, and develops tissue-specific transcriptomic clocks with sex-specific biomarkers for aging prediction.

The paper investigates age-related changes in cerebellar microglia using single-nuclei RNA sequencing and MERFISH, finding enhanced neuroprotective immune activation and proximity to granule cells in aged mice.

The paper introduces umExM, a method for dense membrane labeling and expansion microscopy to achieve nanoscale visualization of membranes in tissues, demonstrating resolution down to ~35 nm.

BayesAge 2.0 predicts transcriptomic age from RNA-seq data using a maximum likelihood algorithm with Poisson distribution and LOWESS smoothing, improving accuracy and efficiency over traditional models.

The paper introduces a new genetically encoded voltage indicator, SomArchon, enabling high-speed, sensitive neural activity imaging in awake mice across multiple brain regions.