Profiling to unveil cellular dynamics.
In the intricate evolution of cellular pathways, cells constantly adapt to their intrinsic programs and external triggers. Therefore, it is imperative to unravel the intricacies of these dynamic transformations and the mechanisms that drive them. Such insight is pivotal for gaining a profound comprehension of cellular processes, both in states of physiological and pathological conditions.
Sequencing to tackle cellular heterogeneity.
In the study of cellular dynamics, the inherent heterogeneity among cells necessitates a meticulous examination of their transitions at the individual cell level. Throughout the years, various methods, from live-cell imaging to molecular recording approaches, were employed to unravel the intricacies of cellular behavior.
Profiling and inferring cellular dynamics.
To complement those snapshots of cellular states, scientists worked on computational methods to infer cellular dynamics.
Sequencing while keeping cells alive: Live-seq
This approach enables time-resolved transcriptomics by extracting cytoplasmic biopsies from individual cells while keeping them alive, and thereby enabling repeated sampling from the same cell.