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CCR4 expression in Tregs is critical for limiting proinflammatory Th1 cell-mediated immune responses and atherosclerosis by maintaining the suppressive and migratory functions of Tregs.

A new computational model improves estimation of Granger connectivity by removing spurious effects of external inputs, and estimation of linear encoding models by removing spurious effects of recurrent connections.

A new framework for exploring the mechanisms underlying learning in cortical microcircuits is established.

Magnetic resonance imaging, through its sensitivity to ionic environments that modulate membrane potential, enables noninvasive assessment of biological systems.

Sub-populations of non growing bacteria survive treatment with antimicrobial peptides by mounting an efflux response.

Mechanistic modeling with low-rank recurrent networks uncovers the relationship between network connectivity, neural dynamics, and selection modulation mechanisms in context-dependent computation.

Through the destabilization of CIITA, the human cytomegalovirus-encoded protein pUS28 antagonizes the expression of the HLA-II molecules CD74/Ii, HLA-DR, HLA-DQ, HLA-DM, and HLA-DP, diminishing the activation of HCMV-specific CD4+ T cells and reducing their secretion of antiviral cytokines.