Extracellular vesicles (EVs) are sub-micron-sized membranous spheres secreted by cells. EVs play a functional role as intercellular communicators and are associated with a number of diseases. Research into EVs is an area of growing interest due their many potential uses as therapeutic agents, as diagnostic and theranostic biomarkers, and as regulators of cellular biology. Flow cytometry is a popular method for enumerating and phenotyping EVs, even though the majority of EVs are below the detection sensitivity of most commercially available flow cytometers. Here, we present optimized protocols for EV labeling that increase the signal-to-noise ratio of EVs by removing residual antibody. Protocols for alignment of high-resolution jet-in-air flow cytometers are also provided. Published 2020. U.S. Government. Basic Protocol 1: Bulk EV staining with CFSE protein binding dye Basic Protocol 2: Antigen-specific staining of EV markers with fluorochrome-conjugated antibodies Basic Protocol 3: Astrios EQ instrument setup and sample acquisition Basic Protocol 4: Counting particles and EVs on Astrios EQ with spike-in reference beads.

Live imaging is critical to determining the dynamics and spatial interactions of cells within the tissue environment. In the lung, this has proven to be difficult due to the motion brought about by ventilation and cardiac contractions. A previous version of this Current Protocols in Cytometry article reported protocols for imaging ex vivo live lung slices and the intact mouse lung. Here, we update those protocols by adding new methodologies, new approaches for quantitative image analysis, and new areas of potential application. © 2020 Wiley Periodicals LLC. Basic Protocol 1: Live imaging of lung slices Support Protocol 1: Staining lung sections with fluorescent antibodies Basic Protocol 2: Live imaging in the mouse lung Support Protocol 2: Intratracheal instillations Support Protocol 3: Intravascular instillations Support Protocol 4: Monitoring vital signs of the mouse during live lung imaging Support Protocol 5: Antibodies Support Protocol 6: Fluorescent reporter mice Basic Protocol 3: Quantification of neutrophil-platelet aggregation in pulmonary vasculature Basic Protocol 4: Quantification of platelet-dependent pulmonary thrombosis Basic Protocol 5: Quantification of pulmonary vascular permeability.

Use of flow cytometry to analyze small particles has been implemented for several decades. More recently, small particle analysis has become increasingly utilized owing to the increased sensitivity of conventional and commercially available flow cytometers along with growing interest in small particles such as extracellular vesicles (EVs). Despite an increase in small particle flow cytometry utilization, a lack of standardization in data reporting has resulted in a growing body of literature regarding EVs that cannot be easily interpreted, validated, or reproduced. Methods for fluorescence and light scatter standardization are well established, and the reagents to perform these analyses are commercially available. Here, we describe FCMPASS , a software package for performing fluorescence and light scatter calibration of small particles while generating standard reports conforming to the MIFlowCyt-EV standard reporting framework. This article covers the workflow of implementing calibration using FCMPASS as follows: acquisition of fluorescence and light scatter calibration materials, cataloguing the reference materials for use in the software, creating cytometer databases and datasets to associate calibration data and fcs files, importing fcs files for calibration, inputting fluorescence calibration parameters, inputting light scatter calibration parameters, and applying the calibration to fcs files. Published 2020. U.S. Government. Basic Protocol 1: Acquisition and gating of light scatter calibration materials Basic Protocol 2: Acquisition and gating of fluorescence calibration materials Alternate Protocol: Cross-calibration of fluorescence reference materials Basic Protocol 3: Cataloguing light scatter calibration materials Basic Protocol 4: Cataloguing fluorescence calibration materials Basic Protocol 5: Creating cytometer databases and datasets Basic Protocol 6: Importing fcs files Basic Protocol 7: Fluorescence calibration Basic Protocol 8: Light scatter calibration Basic Protocol 9: Performing and reporting fcs file calibration.

Direct visualization of higher-order chromatin structure at the molecular scale is of great importance for understanding the impact of chromatin organization on gene expression in many biological processes. Understanding the changes in chromatin structure during pathological processes requires the use of in vivo models and clinical samples, and formalin-fixed, paraffin-embedded (FFPE) tissue is the most widespread form of preservation. Here we describe the details of PathSTORM, an optimized stochastic optical reconstruction microscopy (STORM) protocol for high-quality super-resolution imaging of densely packed higher-order chromatin organization in pathological tissue. We discuss detailed methods for fluorescence staining of DNA and histone proteins, as well as the key technical factors for obtaining high-quality STORM images in pathological tissue samples. © 2020 Wiley Periodicals LLC Basic Protocol 1: Fluorescence staining of chromatin in pathological tissue Basic Protocol 2: STORM data processing Support Protocol 1: Drift correction Support Protocol 2: Image reconstruction Support Protocol 3: Hematoxylin & eosin (H&E) staining.

Translational research has improved the diagnosis and follow-up of hematological diseases and malignancies. However, some classical diagnostics used for research and clinical practice that have remain practically unchanged for decades may be better addressed through advances in flow cytometry technology, whereby more precise measurements may be implemented in a straightforward manner. The current method for semiquantitative analysis of granulocytic alkaline phosphatase (GAP) activity is still based on observer-dependent color-intensity classification. Here, we describe a novel strategy for flow cytometric quantification of GAP activity in which staining and analytical flow cytometry facilitate the detection and quantification of subpopulations of leukocytes with different GAP activities. Our experiments demonstrate the potential of flow cytometry as a simple and highly sensitive approach for measuring GAP activity in unlysed whole blood. Notably, a comparison of flow cytometry and enzyme cytochemistry techniques showed that enzyme activity scores were not similar, indicating that results needs to be interpreted with caution, given that the enzyme-substrate binding affinities may differ, as well as the subjective evaluation of the intensity of the precipitated dye. © 2020 Wiley Periodicals LLC. Basic Protocol: Protocol preparation, sample acquisition, and gating strategy for flow cytometric identification of alkaline phosphatase activity in granulocytes from whole blood samples Support Protocol 1: Sample preparation for granulocyte alkaline phosphatase determination by flow cytometry using no-lyse no-wash methods Support Protocol 2: Data analysis and formula to calculate the GAP score.

SARS‐CoV‐2 is a novel coronavirus that causes the acute respiratory disease—Coronavirus disease 2019 (COVID‐19)—which has led to a global health crisis. Currently, no prophylactics or therapies exist to control virus spread or mitigate the disease. Thus, the risk of infection for physicians and scientists is high, requiring work to be conducted in Biosafety Level‐3 (BSL‐3) facilities if virus will be isolated or propagated. However, inactivation of the virus can enable safe handling at a reduced biosafety level, making samples accessible to a diverse array of institutions and investigators. Institutions of all types have an immediate need for guidelines that outline safe collection, handling, and inactivation of samples suspected to contain active virus. Here we provide a practical guide for physicians and researchers wishing to work with materials from patients who are COVID‐19 positive or suspected positive. © 2020 Wiley Periodicals LLC. Basic Protocol 1: Practical guidelines for the safe collection and handling of specimens collected from COVID‐19 and suspected COVID‐19 patients Basic Protocol 2: Inactivating SARS‐CoV‐2

Flow cytometry allows the visualization of physical, functional, and/or biological properties of cells including antigens, cytokines, size, and complexity. With increasingly large flow cytometry panels able to analyze up to 50 parameters, there is a need to standardize flow cytometry protocols to achieve high-quality data that can be input into analysis algorithms. Without this clean data, algorithms may incorrectly categorize the cell populations present in the samples. In this protocol, we outline a comprehensive methodology to prepare samples for polychromatic flow cytometry. The use of multiple washing steps and rigorous controls creates high-quality data with good separation between cell populations. Experimental data acquired using this protocol can be analyzed via computational algorithms that perform end-to-end analysis. © 2020 by John Wiley & Sons, Inc. Basic Protocol 1: Preparation of single-cell suspension for flow cytometry Support Protocol 1: Lung preparation Support Protocol 2: Counting cells on a flow cytometer Basic Protocol 2: Surface and intracellular flow cytometry staining Support Protocol 3: Single-color bead controls.

Red blood cell biomechanics can provide us with a deeper understanding of macroscopic physiology and have the potential of being used for diagnostic purposes. In diseases like sickle cell anemia and malaria, reduced red blood cell deformability can be used as a biomarker, leading to further assays and diagnoses. A microfluidic system is useful for studying these biomechanical properties. We can observe detailed red blood cell mechanical behavior as they flow through microcapillaries using high-speed imaging and microscopy. Microfluidic devices are advantageous over traditional methods because they can serve as high-throughput tests. However, to rapidly analyze thousands of cells, there is a need for powerful image processing tools and software automation. We describe a workflow process using Image-Pro to identify and track red blood cells in a video, take measurements, and export the data for use in statistical analysis tools. The information in this protocol can be applied to large-scale blood studies where entire cell populations need to be analyzed from many cohorts of donors. © 2020 The Authors. Basic Protocol 1: Enhancing raw video for motion tracking Basic Protocol 2: Extracting motion tracking data from enhanced video.