Peter O. Bayguinov

Getting around the blood–brain barrier The meninges comprise three membranes that surround and protect the central nervous system (CNS). Recent studies have noted the existence of myeloid cells resident there, but little is known about their ontogeny and function, and whether other meningeal immune cell populations have important roles remains unclear (see the Perspective by Nguyen and Kubes). Cugurra et al. found in mice that a large proportion of continuously replenished myeloid cells in the dura mater are not blood derived, but rather transit from cranial bone marrow through specialized channels. In models of CNS injury and neuroinflammation, the authors demonstrated that these myeloid cells have an immunoregulatory phenotype compared with their more inflammatory blood-derived counterparts. Similarly, Brioschi et al. show that the meninges host B cells that are also derived from skull bone marrow, mature locally, and likely acquire a tolerogenic phenotype. They further found that the brains of aging mice are infiltrated by a second population of age-associated B cells, which come from the periphery and may differentiate into autoantibody-secreting plasma cells after encountering CNS antigens. Together, these two studies may inform future treatment of neurological diseases. Science , abf7844, abf9277, this issue p. eabf7844 , p. eabf9277 ; see also abj8183, p. 396

Since its commercialization in the late 1980's, confocal laser scanning microscopy (CLSM) has since become one of the most prevalent fluorescence microscopy techniques for three-dimensional structural studies of biological cells and tissues. The flexibility of the approach has enabled its application in a diverse array of studies, from the fast imaging of dynamic processes in living cells, to meticulous morphological analyses of tissues, and co-localization of protein expression patterns. In this chapter, we introduce the principles of confocal microscopy and discuss how the approach has become a mainstay in the biological sciences. We describe the components of a CLSM system and assess how modern implementations of the approach have further expanded the use of the technique. Finally, we briefly outline some practical considerations to take into account when acquiring data using a CLSM system. © 2018 by John Wiley & Sons, Inc.