11 research outputs found
Nonlinear gap junctions enable long-distance propagation of pulsating calcium waves in astrocyte networks
A new paradigm has recently emerged in brain science whereby communications
between glial cells and neuron-glia interactions should be considered together
with neurons and their networks to understand higher brain functions. In
particular, astrocytes, the main type of glial cells in the cortex, have been
shown to communicate with neurons and with each other. They are thought to form
a gap-junction-coupled syncytium supporting cell-cell communication via
propagating Ca2+ waves. An identified mode of propagation is based on
cytoplasm-to-cytoplasm transport of inositol trisphosphate (IP3) through gap
junctions that locally trigger Ca2+ pulses via IP3-dependent Ca2+-induced Ca2+
release. It is, however, currently unknown whether this intracellular route is
able to support the propagation of long-distance regenerative Ca2+ waves or is
restricted to short-distance signaling. Furthermore, the influence of the
intracellular signaling dynamics on intercellular propagation remains to be
understood. In this work, we propose a model of the gap-junctional route for
intercellular Ca2+ wave propagation in astrocytes showing that: (1)
long-distance regenerative signaling requires nonlinear coupling in the gap
junctions, and (2) even with nonlinear gap junctions, long-distance
regenerative signaling is favored when the internal Ca2+ dynamics implements
frequency modulation-encoding oscillations with pulsating dynamics, while
amplitude modulation-encoding dynamics tends to restrict the propagation range.
As a result, spatially heterogeneous molecular properties and/or weak couplings
are shown to give rise to rich spatiotemporal dynamics that support complex
propagation behaviors. These results shed new light on the mechanisms
implicated in the propagation of Ca2+ waves across astrocytes and precise the
conditions under which glial cells may participate in information processing in
the brain.Comment: Article: 30 pages, 7 figures. Supplementary Material: 11 pages, 6
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Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells. The latest flow cytometry techniques and applications are also described, featuring examples of the data that can be generated and, importantly, how the data can be analysed. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid, all written and peer-reviewed by leading experts in the field, making this an essential research companion
The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity