Quantification of all the major on- and off-pathway kinetic parameters in the transcription elongation cycle reveals that RNA polymerase II translocates slowly in a linear, non-branched Brownian ratchet mechanism.

Combining high-resolution imaging with automated image segmentation and supervised machine learning achieves accurate cellular feature extraction and automated cell type recognition in a large-scale developmental process.

The firing rates of neurons in the grasshopper auditory system are surprisingly robust to changes in temperature, and cell-intrinsic mechanisms are sufficient to explain this temperature insensitivity.

In the liver, microRNAs exert widespread functions in the modulation of phases and amplitudes of clock-controlled gene expression, but their influence on the core clock is remarkably mild.

In vitro, in vivo and in silico evidence suggests that bacteria exploit intrinsic chromosomal fluctuations to achieve intracellular transport.

While the transcription factor c-Myc explores the space in the nucleus in an unrestricted manner, the elongation factor P-TEFb's sampling of the nucleus is constrained to a complex domain with fractal characteristics.

The development of the electrical phenotype of neurons can be precisely quantified and dissected using a combination of multi-variate statistical analyses and a systematic electrophysiological characterization of electrical properties.

During the evolution of insect lineages, a signaling pathway dedicated to pathogen defense was co-opted for a new role in embryonic patterning.

LPCAT3 incorporates arachidonic acid into membrane phospholipids, which promotes lipoprotein assembly by enabling triacylgylcerols to cluster in the membrane.

Mathematical modeling suggests that grid cells in the rodent brain use fundamental principles of number theory to maximize the efficiency of spatial mapping, enabling animals to accurately encode their location with as few neurons as possible.