0000000000337727
AUTHOR
Song Li
One-Cell Doubling Evaluation by Living Arrays of Yeast, ODELAY!
Abstract Cell growth is a complex phenotype widely used in systems biology to gauge the impact of genetic and environmental perturbations. Due to the magnitude of genome-wide studies, resolution is often sacrificed in favor of throughput, creating a demand for scalable, time-resolved, quantitative methods of growth assessment. We present ODELAY (One-cell Doubling Evaluation by Living Arrays of Yeast), an automated and scalable growth analysis platform. High measurement density and single-cell resolution provide a powerful tool for large-scale multiparameter growth analysis based on the modeling of microcolony expansion on solid media. Pioneered in yeast but applicable to other colony formin…
ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
Growth phenotypes of microorganisms are a strong indicator of their underlying genetic fitness and can be segregated into 3 growth regimes: lag-phase, log-phase, and stationary-phase. Each growth phase can reveal different aspects of fitness that are related to various environmental and genetic conditions. High-resolution and quantitative measurements of all 3 phases of growth are generally difficult to obtain. Here we present a detailed method to characterize all 3 growth phases on solid media using an assay called One-cell Doubling Evaluation of Living Arrays of Yeast (ODELAY). ODELAY quantifies growth phenotypes of individual cells growing into colonies on solid media using time-lapse mi…
Validity of the Seattle Heart Failure Model after heart failure hospitalization.
Abstract Aims Heart failure hospitalization is a sentinel event associated with increased mortality risk. Whether long‐term heart failure risk models such as the Seattle Heart Failure Model (SHFM) accurately assess risk in the post‐hospital setting is unknown. Methods and results The SHFM was applied to a cohort of 2242 consecutive patients (50% women; mean age 73) on discharge after acute heart failure hospitalization and analysed for the primary endpoint of all‐cause mortality. Model discrimination and calibration were assessed. Direct patient‐level comparison between our study cohort and the original SHFM cohorts was also performed to confirm and quantify the degree and extent of increas…