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Kirkman-Brown, J. C.

Publications and source records attributed to Kirkman-Brown, J. C..

2 recordsLinked to original sources

Axonemal regulation by curvature explains sperm flagellar waveform modulation

Flagellar motility is critical to natural and many forms of assisted reproduction. The rhythmic beating and wave propagation by the flagellum propels sperm through fluid and enables modulation between penetrative progressive motion, activated side-to-side yaw and hyperactivated movement associated with detachment from epithelial binding. These changes occur in response to the properties of the surrounding fluid environment, biochemical activation state, and physiological ligands, however a parsimonious mechanistic explanation of flagellar beat generation that can explain motility modulation is lacking. In this paper we present the Axonemal Regulation of Curvature, Hysteretic model (ARCH), a curvature control-type model based on switching of active moment by local curvature, embedded within a geometrically nonlinear elastic model of the flagellum exhibiting planar flagellar beats, together with nonlocal viscous fluid dynamics. The biophysical system is parameterised completely by four dimensionless parameter groupings. The effect of parameter variation is explored through computational simulation, revealing beat patterns that are qualitatively representative of penetrative (straight progressive), activated (highly yawing) and hyperactivated (non-progressive) modes. Analysis of the flagellar limit cycles and associated swimming velocity reveals a cusp catastrophe between progressive and non-progressive modes, and hysteresis in the response to changes in critical curvature parameter. Quantitative comparison to experimental data on human sperm exhibiting typical penetrative, activated and hyperactivated beats shows a good fit to the time-average absolute curvature profile along the flagellum, providing evidence that the model is capable of providing a framework for quantitative interpretation of imaging data.

cell biology↗

Rapid sperm capture: High-throughput flagellar waveform analysis

Flagella are critical across all eukaryotic life, and the human sperm flagellum is crucial to natural fertility. Existing automated sperm diagnostics (CASA) rely on tracking the sperm head and extrapolating measures. We describe fully-automated tracking and analysis of flagellar movement for large cell numbers. The analysis is demonstrated on freely-motile cells in low and high viscosity fluids, and validated on published data of tethered cells undergoing pharmacological hyperactivation. Direct analysis of the flagellar beat reveals that the CASA measure beat cross frequency, does not measure beat frequency. A new measurement, track centroid speed, is validated as an accurate differentiator of progressive motility. Coupled with fluid mechanics codes, waveform data enables extraction of experimentally intractable quantities such as energy dissipation, disturbance of the surrounding medium and viscous stresses. We provide a powerful and accessible research tool, enabling connection of the cells mechanical activity to its motility and effect on its environment.

cell biology↗