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 protease inhibitor atazanavir triggers autophagy and mitophagy in human preadipocytes

Background: The association betweenHAARTand lipodystrophy iswell established, but lipodystrophy pathogenesis is still poorly understood. Drugs, and in particular protease inhibitors, accumulate in adipose tissue affecting adipocyte physiology and gene expression by several mechanisms. Recent studies have identified autophagy as another process affected by these classes of drugs, but no studies have been performed in adipose cells. Methods: SW872 preadipocytic human cell line was used to evaluate changes induced by amprenavir (APV), ritonavir (RTV), or atazanavir (ATV), all used at 10–200mmol/l. A subline was stably transfected with murine stem cell virus (pMSCV)-enhanced green fluorescent protein (EGFP)-LC3 plasmid (to obtain a fluorescent LC3 protein) and treated with ATV at different doses. The distribution of LC3 and the colocalization of mitochondria, lysosome, and autophagosome were assessed by confocal microscopy. Transmission electron microscopy of ATV-treated cells was also performed. The cellular content of lysosomes was assessed using Lysotracker Green; apoptosis was evaluated by annexin V/propidium iodide staining, and mitochondrial superoxide anion (mtO2-) was analyzed by mitoSOX red. Lysosomes, apoptosis, and mtO2 - were studied by flow cytometry and multispectral imaging flow cytometry. Results: In SW872 cells, RTV caused massive apoptosis, more than autophagy, whereas APV was almost ineffective. ATV induced both apoptosis (high doses) and autophagy (low doses). ATV-treated cells displayed LC3-specific punctae, suggesting the formation of autophagosomes that enclosed mitochondria, as revealed by electron microscopy. At low doses, ATV promoted mitochondrial superoxide generation, whereas at high doses, it induced mitochondrial membrane depolarization. Conclusion: Autophagy/mitophagy can be considered a mechanism triggered by ATV in SW872 preadipocytes

Guidelines for the use of flow cytometry and cell sorting in immunological studies.

The marriage between immunology and cytometry is one of the most stable and productive in the recent history of science. A rapid search in PubMed shows that, as of July 2017, using “flow cytometry immunology” as a search term yields more than 68 000 articles, the first of which, interestingly, is not about lymphocytes. It might be stated that, after a short engagement, the exchange of the wedding rings between immunology and cytometry officially occurred when the idea to link fluorochromes to monoclonal antibodies came about. After this, recognizing different types of cells became relatively easy and feasible not only by using a simple fluorescence microscope, but also by a complex and sometimes esoteric instrument, the flow cytometer that is able to count hundreds of cells in a single second, and can provide repetitive results in a tireless manner. Given this, the possibility to analyse immune phenotypes in a variety of clinical conditions has changed the use of the flow cytometer, which was incidentally invented in the late 1960s to measure cellular DNA by using intercalating dyes, such as ethidium bromide. The epidemics of HIV/AIDS in the 1980s then gave a dramatic impulse to the technology of counting specific cells, since it became clear that the quantification of the number of peripheral blood CD4+ T cells was crucial to follow the course of the infection, and eventually for monitoring the therapy. As a consequence, the development of flow cytometers that had to be easy-to-use in all clinical laboratories helped to widely disseminate this technology. Nowadays, it is rare to find an immunological paper or read a conference abstract in which the authors did not use flow cytometry as the main tool to dissect the immune system and identify its fine and complex functions. Of note, recent developments have created the sophisticated technology of mass cytometry, which is able to simultaneously identify dozens of molecules at the single cell level and allows us to better understand the complexity and beauty of the immune system.</p

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 CMS experiment at the CERN LHC

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Guidelines for the use of flow cytometry and cell sorting in immunological studies

International audienceThe classical model of hematopoiesis established in the mouse postulates that lymphoid cells originate from a founder population of common lymphoid progenitors. Here, using a modeling approach in humanized mice, we showed that human lymphoid development stemmed from distinct populations of CD127(-) and CD127(+) early lymphoid progenitors (ELPs). Combining molecular analyses with in vitro and in vivo functional assays, we demonstrated that CD127(-) and CD127(+) ELPs emerged independently from lympho-mono-dendritic progenitors, responded differently to Notch1 signals, underwent divergent modes of lineage restriction, and displayed both common and specific differentiation potentials. Whereas CD127(-) ELPs comprised precursors of T cells, marginal zone B cells, and natural killer (NK) and innate lymphoid cells (ILCs), CD127(+) ELPs supported production of all NK cell, ILC, and B cell populations but lacked T potential. On the basis of these results, we propose a "two-family" model of human lymphoid development that differs from the prevailing model of hematopoiesis