Biology subjects

Raina, D.

Publications and source records attributed to Raina, D..

3 recordsLinked to original sources

bioRxiv2023

Optimisation of cell fate determination for cultured muscle differentiation

Production of cultured meat requires defined medium formulations for the robust differentiation of myogenic cells into mature skeletal muscle fibers in vitro. Whilst such formulations can drive myogenic differentiation to an extent similar to serum-starvation based protocols, these cultures are invariably heterogeneous in nature, with a significant proportion of cells not participating in myofusion, limiting maturation of the muscle. Here, we use RNA sequencing to characterise this heterogeneity at single-nucleus resolution, identifying distinct cellular subpopulations, including proliferative cells that fail to exit the cell cycle, and reserve cells that do not commit to myogenic differentiation. We show that the ERK, NOTCH and RXR pathways act during the first stages of myogenic cell fate determination, and by targeting these pathways, cell cycle exit can be promoted whilst abrogating reserve cell formation. Under these improved culture conditions, fusion indices close to 100% can be robustly obtained in 2D culture. Finally, we demonstrate that this translates to higher levels of myotube formation and muscle protein accumulation in animal component-free bioartificial muscle constructs, providing proof of principle for the generation of highly differentiated cultured muscle with excellent mimicry to traditional muscle.

cell biology↗

bioRxiv2020

Intermittent ERK oscillations downstream of FGF in mouse embryonic stem cells

Signal transduction networks process extracellular signals to guide cell fate decisions such as to divide, differentiate, or die. These networks can generate characteristic dynamic activities that are shaped by their cell-type specific architecture. The differentiation of pluripotent cells is controlled by FGF/ERK signaling. However, the dynamic activity of the FGF/ERK signaling network in this context remains unexplored. Here we use live cell sensors in wild type and Fgf4 mutant mouse embryonic stem cells to measure ERK dynamic activity in single cells, in response to defined ligand concentrations. We find that ERK activity oscillates in embryonic stem cells. Single cells can transit between oscillatory and non-oscillatory behavior, leading to heterogeneous dynamic activities in the population. Oscillations become more prevalent with increasing FGF4 dose, while maintaining a robust characteristic timescale. Our results suggest that FGF/ERK signaling operates in the vicinity of a transition point between oscillatory and non-oscillatory dynamics in embryonic stem cells.

developmental biology↗

bioRxiv2020

Cell-cell communication through FGF4 generates and maintains robust proportions of differentiated cell fates in embryonic stem cells

During embryonic development and tissue homeostasis, reproducible proportions of differentiated cell types are specified from populations of multipotent precursor cells. Molecular mechanisms that enable both robust cell type proportioning despite variable initial conditions in the precursor cells, as well as the re-establishment of these proportions upon perturbations in a developing tissue remain to be characterized. Here we report that the differentiation of robust proportions of epiblast-like and primitive endoderm-like cells in mouse embryonic stem cell cultures emerges at the population level through cell-cell communication via a short-range FGF4 signal. We characterize the molecular and dynamical properties of the communication mechanism, and show how it controls both robust cell type proportioning from a wide range of experimentally controlled initial conditions, as well as the autonomous re-establishment of these proportions following the isolation of one cell type. The generation and maintenance of reproducible proportions of discrete cell types is a new function for FGF signaling that may operate in a range of developing tissues.

developmental biology↗