In vivo flow cytometry: a horizon of opportunities

Flow cytometry (FCM) has been a fundamental tool of biological discovery for many years. Invasive extraction of cells from a living organism, however, may lead to changes in cell properties and prevents studying cells in their native environment. These problems can be overcome by use of in vivo FCM, which provides detection and imaging of circulating normal and abnormal cells directly in blood or lymph flow. The goal of this review is to provide a brief history, features, and challenges of this new generation of FCM methods and instruments. Spectrum of possibilities of in vivo FCM in biological science (e.g., cell metabolism, immune function, or apoptosis) and medical fields (e.g., cancer, infection, and cardiovascular disorder) including integrated photoacoustic-photothermal theranostics of circulating abnormal cells are discussed with focus on recent advances of this new platform.     

Photoacoustic flow cytometry

Conventional flow cytometry using scattering and fluorescent detection methods has been a fundamental tool of biological discoveries for many years. Invasive extraction of cells from a living organism, however, may lead to changes in cell properties and prevents the long-term study of cells in their native environment. Here, we summarize recent advances of new generation flow cytometry for in vivo noninvasive label-free or targeted detection of cells in blood, lymph, bone, cerebral and plant vasculatures using photoacoustic (PA) detection techniques, multispectral high-pulse-repetition-rate lasers, tunable ultrasharp (up to 0.8nm) rainbow plasmonic nanoprobes, positive and negative PA contrasts, in vivo magnetic enrichment, time-of-flight cell velocity measurement, PA spectral analysis, and integration of PA, photothermal (PT), fluorescent, and Raman methods. Unique applications of this tool are reviewed with a focus on ultrasensitive detection of normal blood cells at different functional states (e.g., apoptotic and necrotic) and rare abnormal cells including circulating tumor cells (CTCs), cancer stem cells, pathogens, clots, sickle cells as well as pharmokinetics of nanoparticles, dyes, microbubbles and drug nanocarriers. Using this tool we discovered that palpation, biopsy, or surgery can enhance CTC release from primary tumors, increasing the risk of metastasis. The novel fluctuation flow cytometry provided the opportunity for the dynamic study of blood rheology including red blood cell aggregation and clot formation in different medical conditions (e.g., blood disorders, cancer, or surgery). Theranostics, as a combination of PA diagnosis and PT nanobubble-amplified multiplex therapy, was used for eradication of CTCs, purging of infected blood, and thrombolysis of clots using PA guidance to control therapy efficiency. In vivo flow cytometry using a portable fiber-based devices can provide a breakthrough platform for early diagnosis of cancer, infection and cardiovascular disorders with a potential to inhibit, if not prevent, metastasis, sepsis, and strokes or heart attack by well-timed personalized therapy.     

Analysis of virus-infected cells by flow cytometry

Flow cytometry has been used to study virus-cell interactions for many years. This article critically reviews a number of reports on the use of flow cytometry for the detection of virus-infected cells directly in clinical samples and in virus-infected cultured cells. Examples are presented of the use of flow cytometry to screen antiviral drugs against human immunodeficiency virus (HIV), human cytomegalovirus, and herpes simplex viruses (HSV) and to perform drug susceptibility testing for these viruses. The use of reporter genes such as green fluorescent protein incorporated into HIV or HSV or into cells for the detection of the presence of virus, for drug susceptibility assay, and for viral pathogenesis is also covered. Finally, studies on the use of flow cytometry for studying the effect of virus infection on apoptosis and the cell cycle are summarized. It is hoped that this article will give the reader some understanding of the great potential of this technology for studying virus cell interactions.     

The role of flow cytometry in the study of cell growth in the rat anterior pituitary gland

Flow cytometry is a suitable technique for studying in vivo and in vitro the cell cycle kinetics of different animal and human tissues, both in normal and tumoral conditions. The rat anterior pituitary gland is a model to investigate cell growth and replication of differentiated, neuroendocrine cells, and we report current evidence on its cell cycle kinetics as well as on the role played by flow cytometry in this type of study. The proliferation potential of normal anterior pituitary cells is related to a number of different conditions, including heterogeneity of cell types, age and sex of donors, and circadian influences. In addition, the trend of cell proliferation in both in vivo and in vitro studies is similar, suggesting that cultured anterior pituitary elements may, at least in part, retain growth features analogous to those of the intact gland. Sorting of selective cell types and analysis of the relation between proliferating anterior pituitary cells and the light-dark cycle have shown that flow cytometry may be useful to investigate the replication process of the gland. By using a combination of flow cytometry, light microscopic immunocytochemistry and morphometry, we have reported a peculiar trend of proliferation in primary monolayer cultures of rat anterior pituitary gland, characterized by a non-linear reduction in their proliferation rate with advancing age, primarily dependent on a reduced transition of cells from the G0/G1- to the early S-phase pool. These studies indicate that flow cytometry offers insights into cell cycle check points of anterior pituitary cells, and suggest that it might be applied to the study of growth of selective pituitary elements, both in normal and tumoral conditions.     

Photothermal flow cytometry in vitro for detection and imaging of individual moving cells.

BACKGROUND: Photothermal (PT) cytometry has recently demonstrated great potential for the label-free detection of nonfluorescent cells under static conditions. The goal of our investigation was to expand this technique to the detection of flowing cells in vitro. METHODS: Cells in flow were irradiated with short, tunable laser pulses (420-2,300 nm, 8 ns), and the absorbed energy was detected by monitoring of the temperature-dependent variations in the refractive index in the cells with a second, collinear probe beam in two modes: (a) PT imaging of single cells with a pulsed probe beam (639 nm, 13 ns) and (b) thermolens monitoring of the integral PT responses from individual cells as whole with a continuous-wave probe beam (633 nm, 2 mW). RESULTS: PT flow cytometry at the current speed of analysis of 10 cell/s, with the capability to image selected cells of interest flowing at velocities up to 2 m/s, demonstrated the capability for (a) label-free detection of flowing single cells (e.g., blood and cancer cells) on the basis of the differences in their endogenous absorption properties, (b) identification of cells labeled with gold nanoparticles, (c) rapid cell viability testing, (d) aggregation immunoassay, and (e) optimization of selective nanophotothermolysis. CONCLUSIONS: PT cytometry can be extended to the study of cells in flow. This new technique increases the speed of cell analysis approximately 10(2) times over that of conventional PT technique, with the potential to achieve a rate of 10(4)-10(5) cells/s in specific PT applications, which has previously been realized only with cells under static conditions.     

A rapid detection method for apoptosis and necrosis measurement using the Cellometer imaging cytometry

Apoptosis and necrosis play an important role in various aspects of preclinical pharmaceutical drug discovery and validation. The ability to quickly determine the cytotoxic effect of chemical compounds on cancer cells allows researchers to efficiently identify potential drug candidates for further development in the pharmaceutical discovery pipeline. Recently, a new imaging cytometry system has been developed by Nexcelom Bioscience LLC (Lawrence, MA, USA) for fluorescence-based cell population analysis. Currently, fluorescence-based cell death assays have not been demonstrated by the Cellometer system, which can potentially provide a quick, simple, and inexpensive alternative method for smaller biomedical research laboratories. In this study, we demonstrate for the first time the use of Cellometer imaging cytometry for necrosis/apoptosis detection by studying the dose–response effect of heat and drug-induced cell death in Jurkat cells labeled with annexin V-FITC (apoptotic) and propidium iodide (necrotic). The experimental results were evaluated to validate the imaging cytometric capabilities of the Cellometer system as compared to the conventional flow cytometry. Similar cell population results were obtained from the two methods. The ability of Cellometer to rapidly and cost-effectively perform fluorescent cell-based assays has the potential of improving research efficiency, especially where a flow or laser scanning cytometer is not available or in situations where a rapid analysis of data is desired.     

Analyzing cellular internalization of nanoparticles and bacteria by multi-spectral imaging flow cytometry

Nanoparticulate systems have emerged as valuable tools in vaccine delivery through their ability to efficiently deliver cargo, including proteins, to antigen presenting cells. Internalization of nanoparticles (NP) by antigen presenting cells is a critical step in generating an effective immune response to the encapsulated antigen. To determine how changes in nanoparticle formulation impact function, we sought to develop a high throughput, quantitative experimental protocol that was compatible with detecting internalized nanoparticles as well as bacteria. To date, two independent techniques, microscopy and flow cytometry, have been the methods used to study the phagocytosis of nanoparticles. The high throughput nature of flow cytometry generates robust statistical data. However, due to low resolution, it fails to accurately quantify internalized versus cell bound nanoparticles. Microscopy generates images with high spatial resolution; however, it is time consuming and involves small sample sizes. Multi-spectral imaging flow cytometry (MIFC) is a new technology that incorporates aspects of both microscopy and flow cytometry that performs multi-color spectral fluorescence and bright field imaging simultaneously through a laminar core. This capability provides an accurate analysis of fluorescent signal intensities and spatial relationships between different structures and cellular features at high speed. Herein, we describe a method utilizing MIFC to characterize the cell populations that have internalized polyanhydride nanoparticles or Salmonella enterica serovar Typhimurium. We also describe the preparation of nanoparticle suspensions, cell labeling, acquisition on an ImageStream(X) system and analysis of the data using the IDEAS application. We also demonstrate the application of a technique that can be used to differentiate the internalization pathways for nanoparticles and bacteria by using cytochalasin-D as an inhibitor of actin-mediated phagocytosis.     

Detection of intracytoplasmic cytokines by flow cytometry

Flow cytometry has been used as a powerful technique for studying cell surface antigen expression as well as intracellular molecules. Its capability of analyzing multiple parameters simultaneously on a single cell has allowed identification and studies of functional cell subsets within heterogeneous populations. In this respect, several techniques have been developed during the past few years to study cytokine-producing cells by flow cytometry in humans and several animal models.     

In vivo flow cytometry of circulating clots using negative photothermal and photoacoustic contrasts

Conventional photothermal (PT) and photoacousic (PA) imaging, spectroscopy, and cytometry are preferentially based on positive PT/PA effects, when signals are above background. Here, we introduce PT/PA technique based on detection of negative signals below background. Among various new applications, we propose label-free in vivo flow cytometry of circulating clots. No method has been developed for the early detection of clots of different compositions as a source of thromboembolism including ischemia at strokes and myocardial infarction. When a low-absorbing, platelet-rich clot passes a laser-irradiated vessel volume, a transient decrease in local absorption results in an ultrasharp negative PA hole in blood background. Using this phenomenon alone or in combination with positive contrasts, we demonstrated identification of white, red, and mixed clots on a mouse model of myocardial infarction and human blood. The concentration and size of clots were measured with threshold down to few clots in the entire circulation with size as low as 20 μm. This multiparameter diagnostic platform using portable personal high-speed flow cytometer with negative dynamic contrast mode has potential to real-time defining risk factors for cardiovascular diseases, and for prognosis and prevention of stroke or use clot count as a marker of therapy efficacy. Possibility for label-free detection of platelets, leukocytes, tumor cells or targeting themby negative PA probes (e.g., nonabsorbing beads or bubbles) is also highlighted.     

A high‐throughput all‐optical laser‐scanning imaging flow cytometer with biomolecular specificity and subcellular resolution

Image‐based cellular assay advances approaches to dissect complex cellular characteristics through direct visualization of cellular functional structures. However, available technologies face a common challenge, especially when it comes to the unmet need for unraveling population heterogeneity at single‐cell precision: higher imaging resolution (and thus content) comes at the expense of lower throughput, or vice versa. To overcome this challenge, a new type of imaging flow cytometer based upon an all‐optical ultrafast laser‐scanning imaging technique, called free‐space angular‐chirp‐enhanced delay (FACED) is reported. It enables an imaging throughput (>20 000 cells s^?1) 1 to 2 orders of magnitude higher than the camera‐based imaging flow cytometers. It also has 2 critical advantages over optical time‐stretch imaging flow cytometry, which achieves a similar throughput: (1) it is widely compatible to the repertoire of biochemical contrast agents, favoring biomolecular‐specific cellular assay and (2) it enables high‐throughput visualization of functional morphology of individual cells with subcellular resolution. These capabilities enable multiparametric single‐cell image analysis which reveals cellular heterogeneity, for example, in the cell‐death processes demonstrated in this work—the information generally masked in non‐imaging flow cytometry. Therefore, this platform empowers not only efficient large‐scale single‐cell measurements, but also detailed mechanistic analysis of complex cellular processes.      

Fast imaging in flow: a means of combining flow-cytometry and image analysis.

The morphological identification of cells by flow cytometry is difficult. Usually cell sorting and microscopical analysis have to be used in addition. Morphological analysis is simplified by taking cell pictures from a range of particular interest immediately during flow cytometric analysis. Instruments using the video scanning technique for fluorescence imaging are slow and expensive (8, 10). Morphological information can also be obtained by transmission imaging of cells in flow, which requires shorter exposure times. Therefore a cell volume activated flow imaging device has been developed which operates at flow speeds up to 5 m/sec and which depicts transmission images of selected cells on a 16-mm film by a nsec flashlamp illumination. An electronic unit detects the particles in the optically accessible orifice, performs the pulse height analysis, triggers the flashlamp if particles are in the preselcted range of interest and feeds the film. The instrument is capable of delivering up to 150 pictures per second and works either as a flow microscope in which the cells in the preselected volume range are directly observed, or as a picture system in which the cell pictures are stored on the 16-mm film for documentation or for image analysis.     

Sorting cells for basal and induced autophagic flux by quantitative ratiometric flow cytometry

We detail here a protocol using tandem-tagged mCherry-EGFP-LC3 (C-G-LC3) to quantify autophagic flux in single cells by ratiometric flow cytometry and to isolate subpopulations of cells based on their relative levels of autophagic flux. This robust and sensitive method measures autophagic flux rather than autophagosome number and is an important addition to the autophagy researcher’s array of tools for measuring autophagy. Two crucial steps in this protocol are i) generate cells constitutively expressing C-G-LC3 with low to medium fluorescence and low fluorescence variability, and ii) correctly set up gates and voltage/gain on a properly equipped flow cytometer. We have used this method to measure autophagic flux in a variety of cell types and experimental systems using many different autophagy stimuli. On a sorting flow cytometer, this technique can be used to isolate cells with different levels of basal autophagic flux, or cells with variable induction of flux in response to a given stimulus for further analysis or experimentation. We have also combined quantification of autophagic flux with methods to measure apoptosis and cell surface proteins, demonstrating the usefulness of this protocol in combination with other flow cytometry labels and markers.     

Automated analysis of the cytokinesis-block micronucleus assay for radiation biodosimetry using imaging flow cytometry

The cytokinesis-block micronucleus (CBMN) assay is employed in biological dosimetry to determine the dose of radiation to an exposed individual from the frequency of micronuclei (MN) in binucleated lymphocyte cells. The method has been partially automated for the use in mass casualty events, but it would be advantageous to further automate the method for increased throughput. Recently, automated image analysis has been successfully applied to the traditional, slide-scoring-based method of the CBMN assay. However, with the development of new technologies such as the imaging flow cytometer, it is now possible to adapt this microscope-based assay to an automated imaging flow cytometry method. The ImageStream^X is an imaging flow cytometer that has adequate sensitivity to quantify radiation doses larger than 1 Gy while adding the increased throughput of traditional flow cytometry. The protocol and analysis presented in this work adapts the CBMN assay for the use on the ImageStream^X. Ex vivo-irradiated whole blood samples cultured for CBMN were analyzed on the ImageStream^X, and preliminary results indicate that binucleated cells and MN can be identified, imaged and enumerated automatically by imaging flow cytometry. Details of the method development, gating strategy and the dose response curve generated are presented and indicate that adaptation of the CBMN assay for the use with imaging flow cytometry has potential for high-throughput analysis following a mass casualty radiological event.     

Isolation of viable type II alveolar epithelial cells by flow cytometry

We developed a new method for isolating viable type II cells from fractionated and unfractionated lung cell suspensions by flow cytometry using acridine orange (AO). Fischer-344 rat lungs were dispersed into single-cell suspensions by a technique that yields a high number of cells (4-5 X 10(8) cells/lung, congruent to 85% viable), congruent to 11% of which are type II cells. Elutriated fractions from the lung cell preparation and parent, unfractionated cell suspensions were incubated with 1.0-0.02 micrograms/ml AO and analyzed by flow cytometry. Parameters analyzed included axial light loss (ALL) and red fluorescence (RF). Based on their unique RF, attributable to AO staining of type II cell lamellar bodies, and their ALL characteristics, type II pneumocytes were sorted from elutriated fractions to greater than 95% purity. Using the same approach, type II pneumocytes were sorted from unfractionated lung cell suspensions at greater than or equal to 85% purity. The viabilities of the type II alveolar epithelial cells isolated by this method range from 85% to 95%, and the ultrastructural features of the sorted cells were unaltered by AO labeling or sorting.     

Feasibility study of stain-free classification of cell apoptosis based on diffraction imaging flow cytometry and supervised machine learning techniques

This study was to explore the feasibility of prediction and classification of cells in different stages of apoptosis with a stain-free method based on diffraction images and supervised machine learning. Apoptosis was induced in human chronic myelogenous leukemia K562 cells by cis-platinum (DDP). A newly developed technique of polarization diffraction imaging flow cytometry (p-DIFC) was performed to acquire diffraction images of the cells in three different statuses (viable, early apoptotic and late apoptotic/necrotic) after cell separation through fluorescence activated cell sorting with Annexin V-PE and SYTOX® Green double staining. The texture features of the diffraction images were extracted with in-house software based on the Gray-level co-occurrence matrix algorithm to generate datasets for cell classification with supervised machine learning method. Therefore, this new method has been verified in hydrogen peroxide induced apoptosis model of HL-60. Results show that accuracy of higher than 90% was achieved respectively in independent test datasets from each cell type based on logistic regression with ridge estimators, which indicated that p-DIFC system has a great potential in predicting and classifying cells in different stages of apoptosis.     

Current and future applications of flow cytometry in aquatic microbiology

Flow cytometry has become a valuable tool in aquatic and environmental microbiology that combines direct and rapid assays to determine numbers, cell size distribution and additional biochemical and physiological characteristics of individual cells, revealing the heterogeneity present in a population or community. Flow cytometry exhibits three unique technical properties of high potential to study the microbiology of aquatic systems: (i) its tremendous velocity to obtain and process data; (ii) the sorting capacity of some cytometers, which allows the transfer of specific populations or even single cells to a determined location, thus allowing further physical, chemical, biological or molecular analysis; and (iii) high-speed multiparametric data acquisition and multivariate data analysis. Flow cytometry is now commonly used in aquatic microbiology, although the application of cell sorting to microbial ecology and quantification of heterotrophic nanoflagellates and viruses is still under development. The recent development of laser scanning cytometry also provides a new way to further analyse sorted cells or cells recovered on filter membranes or slides. The main infrastructure limitations of flow cytometry are: cost, need for skilled and well-trained operators, and adequate refrigeration systems for high-powered lasers and cell sorters. The selection and obtaining of the optimal fluorochromes, control microorganisms and validations for a specific application may sometimes be difficult to accomplish.     

A rapid, quantitative and inexpensive method for detecting apoptosis by flow cytometry in transiently transfected cells.

We describe a rapid and quantitative flow cytometric method for determining the apoptotic or anti-apoptotic potential of a gene in various cell types. A plasmid carrying green fluorescent protein (GFP) is co-transfected with an expression vector encoding the gene of interest. Subsequently cells are stained with propidium iodide and, utilising flow cytometry, transfected, GFP-expressing single cells are detected and apoptotic cells in this population are identified by their DNA content of <2 N. The method detects apoptosis as reliably as established methods using in situ nick-end labelling but is faster, easier and less expensive.     

Classifying antibodies using flow cytometry data: class prediction and class discovery

Classifying monoclonal antibodies, based on the similarity of their binding to the proteins (antigens) on the surface of blood cells, is essential for progress in immunology, hematology and clinical medicine. The collaborative efforts of researchers from many countries have led to the classification of thousands of antibodies into 247 clusters of differentiation (CD). Classification is based on flow cytometry and biochemical data. In preliminary classifications of antibodies based on flow cytometry data, the object requiring classification (an antibody) is described by a set of random samples from unknown densities of fluorescence intensity. An individual sample is collected in the experiment, where a population of cells of a certain type is stained by the identical fluorescently marked replicates of the antibody of interest. Samples are collected for multiple cell types. The classification problems of interest include identifying new CDs (class discovery or unsupervised learning) and assigning new antibodies to the known CD clusters (class prediction or supervised learning). These problems have attracted limited attention from statisticians. We recommend a novel approach to the classification process in which a computer algorithm suggests to the analyst the subset of the "most appropriate" classifications of an antibody in class prediction problems or the "most similar" pairs/ groups of antibodies in class discovery problems. The suggested algorithm speeds up the analysis of a flow cytometry data by a factor 10-20. This allows the analyst to focus on the interpretation of the automatically suggested preliminary classification solutions and on planning the subsequent biochemical experiments.