A chromatic explosion: the development and future of multiparameter flow cytometry

Multiparametric luminescence method for quantitative cell surface protein expression analysis and imaging

A luminometric method for quantitative cell surface protein expression analysis has been developed in a microtiter plate format. The method is based on immunocytochemistry, the use of long-lived europium(III) and terbium(III) chelates and platinum(II) porphyrin luminescence labels in addition to short-lived syto13 DNA stain, and detection of photoluminescence emission from adhered cells by both time-resolved luminescence and conventional fluorescence. After the immunoreactions, the wells were evaporated to dryness, allowing repeated and postponed luminescence analysis even after months and cellular protein localization studies by microscopy imaging. The multiparametric method assayed the cell surface expression of ß1-integrin, E-selectin and intercellular adhesion molecule 1 (ICAM-1) in HUVE cells (human umbilical vein endothelial cells). The expression of E-selectin and ICAM-1 was enhanced by treating HUVECs with tumor necrosis factor α (TNF-α), while the expression level of ß1-integrin remained unchanged. The sensitivity limit of TNF-α detection by the method was ca. 1 pg/ml and the Z'-factors for the quantification of E-selectin and ICAM-1 were >0.7 suggesting a highly robust method. The novel approach proposed in this paper can be potentially applied to cell surface protein expression analysis in screening applications combined with localization studies of the target proteins by fluorescence microscopy imaging.

SPICE: exploration and analysis of post-cytometric complex multivariate datasets

Polychromatic flow cytometry results in complex, multivariate datasets. To date, tools for the aggregate analysis of these datasets across multiple specimens grouped by different categorical variables, such as demographic information, have not been optimized. Often, the exploration of such datasets is accomplished by visualization of patterns with pie charts or bar charts, without easy access to statistical comparisons of measurements that comprise multiple components. Here we report on algorithms and a graphical interface we developed for these purposes. In particular, we discuss thresholding necessary for accurate representation of data in pie charts, the implications for display and comparison of normalized versus unnormalized data, and the effects of averaging when samples with significant background noise are present. Finally, we define a statistic for the nonparametric comparison of complex distributions to test for difference between groups of samples based on multi-component measurements. While originally developed to support the analysis of T cell functional profiles, these techniques are amenable to a broad range of datatypes.

Quantum dot technology in flow cytometry

The development of quantum dot (QD) technology represents one of the most dramatic advances in flow cytometry history, offering the opportunity for highly multiplexed experiments and allowing better resolution of dimly staining markers. Here, we guide users through the technical aspects of using QDs (including instrumentation and antibody conjugation), demonstrate why QDs are useful in multicolor flow cytometry, and describe some of the challenges investigators may face when adopting this technology.

Vaccines and the future of human immunology

In this issue of Immunity, a collection of detailed reviews summarizes needs, opportunities, and roadblocks to the development of new vaccines, all in the context of our current knowledge and understanding of key aspects of immune function and microbial interactions with the host. This Perspective is designed to provide a broad overview that discusses our present limitations in designing effective novel vaccines for diseases that do not typically induce robust resistance in infected individuals and how the addition of a systems-level, multiplexed approach to the analysis of the human immune system can complement traditional highly focused research efforts to accelerate our progress toward this goal and the improvement of human health.

Hierarchical clustering of flow cytometry data for the study of conventional central chondrosarcoma

We have investigated the use of hierarchical clustering of flow cytometry data to classify samples of conventional central chondrosarcoma, a malignant cartilage forming tumor of uncertain cellular origin, according to similarities with surface marker profiles of several known cell types. Human primary chondrosarcoma cells, articular chondrocytes, mesenchymal stem cells, fibroblasts, and a panel of tumor cell lines from chondrocytic or epithelial origin were clustered based on the expression profile of eleven surface markers. For clustering, eight hierarchical clustering algorithms, three distance metrics, as well as several approaches for data preprocessing, including multivariate outlier detection, logarithmic transformation, and z-score normalization, were systematically evaluated. By selecting clustering approaches shown to give reproducible results for cluster recovery of known cell types, primary conventional central chondrosacoma cells could be grouped in two main clusters with distinctive marker expression signatures: one group clustering together with mesenchymal stem cells (CD49b-high/CD10-low/CD221-high) and a second group clustering close to fibroblasts (CD49b-low/CD10-high/CD221-low). Hierarchical clustering also revealed substantial differences between primary conventional central chondrosarcoma cells and established chondrosarcoma cell lines, with the latter not only segregating apart from primary tumor cells and normal tissue cells, but clustering together with cell lines from epithelial lineage. Our study provides a foundation for the use of hierarchical clustering applied to flow cytometry data as a powerful tool to classify samples according to marker expression patterns, which could lead to uncover new cancer subtypes.

Good cell, bad cell: flow cytometry reveals T-cell subsets important in HIV disease

Flow cytometry is a key technology in the study of HIV disease. In this article, we review various cellular markers that can be measured in the setting of pathogenesis or vaccination studies, including markers of activation, differentiation, senescence, immune suppression, and function. In addition, we discuss important considerations for making these measurements. Finally, we examine how flow cytometry studies have taught researchers about the disease process, and the potential for flow cytometry technology to guide treatment decisions and evaluate vaccine candidates in the future.

Development and validation of flow cytometry methods for pharmacodynamic clinical biomarkers

Flow cytometry is a powerful analytical tool for the analysis of multiple biological parameters of individual cells or particles within heterogeneous cell populations. It has been widely used in biomedical research to perform immunophenotyping, cell counting and numerous cell function assessments, such as intracellular cytokine production, protein phosphorylation, cell proliferation and apoptosis. The implementation of standardized flow cytometry-based biomarker assays in clinical trials remains a challenge due to the limited stability of clinical specimens and the technical variations between instruments. To ensure data quality, it is crucial to develop robust assays for clinical applications. In this review, we summarize current practice in developing, validating and implementing flow cytometry assays to evaluate biomarkers in clinical research.

Highly multiparametric analysis by mass cytometry

This review paper describes a new technology, mass cytometry, that addresses applications typically run by flow cytometer analyzers, but extends the capability to highly multiparametric analysis. The detection technology is based on atomic mass spectrometry. It offers quantitation, specificity and dynamic range of mass spectrometry in a format that is familiar to flow cytometry practitioners. The mass cytometer does not require compensation, allowing the application of statistical techniques; this has been impossible given the constraints of fluorescence noise with traditional cytometry instruments. Instead of "colors" the mass cytometer "reads" the stable isotope tags attached to antibodies using metal-chelating labeling reagents. Because there are many available stable isotopes, and the mass spectrometer provides exquisite resolution between detection channels, many parameters can be measured as easily as one. For example, in a single tube the technique allows for the ready detection and characterization of the major cell subsets in blood or bone marrow. Here we describe mass cytometric immunophenotyping of human leukemia cell lines and leukemia patient samples, differential cell analysis of normal peripheral and umbilical cord blood; intracellular protein identification and metal-encoded bead arrays.

Multichromatic phenotyping of HER receptor coexpression in breast tumor tissue samples using flow cytometry--possibilities and limitations

The prognostic significance of HER2 expression in human breast carcinomas is beyond dispute nowadays. The HER family of receptor tyrosine kinases comprises four members (HER1/ErbB1/EGFR, HER2/ErbB2, HER3/ErbB3, and HER4/ErbB4) that act in concert via transactivation and consequently compose a functional signaling unit. Besides HER2 overexpression, coexpression of other HER receptors has substantial impact on course of disease and potential therapeutic benefit. This observation is substantiated by numerous preclinical studies and retrospective studies done on patients with breast cancer. Against this background, the quantification of all HER receptor expressions at the same time would significantly extend the information content revealed by routine diagnosis of breast cancer tissues. Moreover, the knowledge of HER receptor coexpression profiles in primary tumor samples could provide the basis to design and develop highly specific antireceptor treatment strategies. Here, we report on a simultaneous flow cytometric detection of all four HER receptors on carcinoma cells isolated from primary breast cancer tissues and separated from nonepithelial cells by cytokeratin staining. Combined with DNA, i.e. ploidy quantification, the approach resulted in a six-parameter assay that could complement the diagnosis of a variety of diseases in which HER receptor expression has a pivotal impact on the degree of malignancy.

Separating stem cells by flow cytometry: reducing variability for solid tissues

Until there are valid identifiers that visualize stem cells in vivo, we rely upon flow cytometry to enrich for subpopulations with stem cell function. However, data reporting styles for flow cytometric analyses are typically inconsistent, creating challenges in comparing results across publications. In our view, clear reporting guidelines could improve reproducibility of stem cell analyses in solid tissues.

Identification of B cells through negative gating-An example of the MIFlowCyt standard applied

Polychromatic flow cytometric analysis takes advantage of the increasing number of available fluorophores to positively identify and simultaneously assess multiple parameters in the same cell (1). Additional parameters may be analyzed through negative identification (i.e., through exclusion of particular stains or antibodies employed). In this report, we tested whether such negative-gating strategy would identify human B lymphocytes in innate immune phenotyping studies. To this end, B cells were identified as the negatively-stained subpopulation from the CD123 vs. CD11c plot of the CD14(neg-low), MHC II(high) human peripheral blood mononuclear cells. To test the specificity of this negative gating approach, we confirmed that negatively gated B cells indeed expressed CD19, the bona fide marker for human B cells. However, a small number of unidentified cells were contained in the negatively-gated B cells. Furthermore, a small percentage cells expressing markers used to identify monocytes and myeloid dendritic cells (mDC) coexpressed CD19. This identifies such negative B-cell gating approach as potentially problematic. When applied to the analysis of Toll-like receptors (TLR) stimulation experiments, we were however able to interpret the results, as B-cells respond to TLR stimulation in a qualitative different pattern as compared to monocytes and DC. This report is presented in a manner that is fully compliant with the Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) standard, which was recently adopted by the International Society for Advancement of Cytometry (ISAC) (2) and incorporated in the publishing policies of Cytometry and other journals. We demonstrate how a MIFlowCyt-compliant report can be prepared with minimal effort, and yet provide the reader with a much clearer picture of the portrayed FCM experiment and data.

Integrating genomic signatures for immunologic discovery

Understanding heterogeneity in adaptive immune responses is essential to dissect pathways of memory B and T cell differentiation and to define correlates of protective immunity. Traditionally, immunologists have deconvoluted this heterogeneity with flow cytometry--with combinations of markers to define signatures that represent specific lineages, differentiation states, and functions. Genome-scale technologies have become widely available and provide the ability to define expression signatures--sets of genes--that represent discrete biological properties of cell populations. Because genomic signatures can serve as surrogates of a phenotype, function, or cell state, they can integrate phenotypic information between experiments, cell types, and species. Here, we discuss how integration of well-defined expression signatures across experimental conditions together with functional analysis of their component genes could provide new opportunities to dissect the complexity of the adaptive immune response and map the immune response to vaccines and pathogens.

Performance of serum-supplemented and serum-free media in IFNgamma Elispot Assays for human T cells

The choice of serum for supplementation of media for T cell assays and in particular, Elispot has been a major challenge for assay performance, standardization, optimization, and reproducibility. The Assay Working Group of the Cancer Vaccine Consortium (CVC-CRI) has recently identified the choice of serum to be the leading cause for variability and suboptimal performance in large international Elispot proficiency panels. Therefore, a serum task force was initiated to compare the performance of commercially available serum-free media to laboratories' own medium/serum combinations. The objective of this project was to investigate whether a serum-free medium exists that performs as well as lab-own serum/media combinations with regard to antigen-specific responses and background reactivity in Elispot. In this way, a straightforward solution could be provided to address the serum challenge. Eleven laboratories tested peripheral blood mononuclear cells (PBMC) from four donors for their reactivity against two peptide pools, following their own Standard Operating Procedure (SOP). Each laboratory performed five simultaneous experiments with the same SOP, the only difference between the experiments was the medium used. The five media were lab-own serum-supplemented medium, AIM-V, CTL, Optmizer, and X-Vivo. The serum task force results demonstrate compellingly that serum-free media perform as well as qualified medium/serum combinations, independent of the applied SOP. Recovery and viability of cells are largely unaffected by serum-free conditions even after overnight resting. Furthermore, one serum-free medium was identified that appears to enhance antigen-specific IFNgamma-secretion.

Multimer technologies for detection and adoptive transfer of antigen-specific T cells

Identification and purification of antigen-specific T cells without altering their functional status are of high scientific and clinical interest. Staining with major histocompatibility complex (MHC)-peptide multimers constitutes a very powerful method to study antigen-specific T-cell subpopulations, allowing their direct visualization and quantification. MHC-peptide multimers, such as dimers, tetramers, pentamers, streptamers, dextramers and octamers have been used to evaluate the frequency of CD8(+) T cells, specific for tumor/leukemia-associated antigens as well as for viral antigens, e.g., CMVpp65 and EBV-EBNA. Moreover, MHC-peptide multimers have been used for rapid and efficient ex vivo isolation and expansion of T cells. A recent development in the field of MHC-peptide multimers led to the purification of CD8(+) T cells specific for leukemia antigens. This might help to select leukemia-specific donor lymphocyte infusions (DLIs), thus allowing dissection of the noxious graft-versus-host disease (GvHD) from beneficial anti-viral and even anti-leukemic effects. This review covers different types of MHC-peptide multimers and their applications, as well as the impact that multimers might have on further development of DLIs.

Multivariate data analysis methods for the interpretation of microbial flow cytometric data

Flow cytometry is an important technique in cell biology and immunology and has been applied by many groups to the analysis of microorganisms. This has been made possible by developments in hardware that is now sensitive enough to be used routinely for analysis of microbes. However, in contrast to advances in the technology that underpin flow cytometry, there has not been concomitant progress in the software tools required to analyse, display and disseminate the data and manual analysis, of individual samples remains a limiting aspect of the technology. We present two new data sets that illustrate common applications of flow cytometry in microbiology and demonstrate the application of manual data analysis, automated visualisation (including the first description of a new piece of software we are developing to facilitate this), genetic programming, principal components analysis and artificial neural nets to these data. The data analysis methods described here are equally applicable to flow cytometric applications with other cell types.

"MIATA"-minimal information about T cell assays

Immunotherapy, especially therapeutic vaccination, has a great deal of potential in the treatment of cancer and certain infectious diseases such as HIV (Allison et al., 2006; Fauci et al., 2008; Feldmann and Steinman, 2005). Numerous vaccine candidates have been tested in patients with a variety of tumor types and chronic viral diseases. Often, the best way to assess the clinical potential of these vaccines is to monitor the induced T cell response, and yet there are currently no standards for reporting these results. This letter is an effort to address this problem.

FlowFP: A Bioconductor Package for Fingerprinting Flow Cytometric Data

A new software package called flowFP for the analysis of flow cytometry data is introduced. The package, which is tightly integrated with other Bioconductor software for analysis of flow cytometry, provides tools to transform raw flow cytometry data into a form suitable for direct input into conventional statistical analysis and empirical modeling software tools. The approach of flowFP is to generate a description of the multivariate probability distribution function of flow cytometry data in the form of a “fingerprint.” As such, it is independent of a presumptive functional form for the distribution, in contrast with model-based methods such as Gaussian Mixture Modeling. FlowFP is computationally efficient and able to handle extremely large flow cytometry data sets of arbitrary dimensionality. Algorithms and software implementation of the package are described. Use of the software is exemplified with applications to data quality control and to the automated classification of Acute Myeloid Leukemia.

Clinical applications of slide-based cytometry--an update

Slide-based cytometric approaches open the possibility to obtain quantitative and objective data from specimens that so far have not been accessible to this kind of analysis. In this review, we will highlight the specific advantages of slide-based cytometry (SBC) and show the applications that have been established for clinical samples. Focuses are cytomic analyses of oncological and hematological samples where the slide-based concept turned out to open new dimensions in understanding underlying cellular networks. We review the recent literature and point out future applications.

Flow cytometry and the future of vaccine development

Vaccine research increasingly aims to understand the fundamental mechanisms of protection afforded by licensed and candidate vaccines. Historically, nearly all licensed vaccines have relied on measures of humoral immunity to provide correlates of protection, but cellular immunity is important for protection afforded by some vaccines and will be required for vaccines against TB and malaria. Common means of assessing vaccine-induced immune responses include measuring the frequency and functions of antigen-specific lymphocytes. While diverse assays can provide this information, flow cytometry is unique in its ability to simultaneously report other features of antigen-specific cellular responses. Here, we review the application of flow cytometry to characterizing three areas of immune responses to vaccines or diseases. First, analysis of cellular (T-cell) responses is more mature: polychromatic flow cytometric analysis of T-cell function has already yielded important insight into correlates of protection. Second, antibody and antigen-specific B-cell detection by flow cytometry are being actively developed; to date, these assays are not yet widely used. Finally, flow cytometry can also be used to analyze the contribution of innate immunity to vaccine efficacy and disease pathogenesis.

High throughput single nanoparticle spectroscopy

Progress in the development and application of nanoengineered systems is limited by the availability of quantitative measurement techniques. For the engineering of nanoparticle (NP)-based systems, single NP characterization is essential, but existing methods are slow and low throughput. We demonstrate a flow spectroscopy technique capable of analyzing hundreds of nanoparticles per second and use this technique for the high throughput analysis of nanoparticle surface-enhanced resonant Raman scattering (SERRS) tags. By measuring Rayleigh and Raman scattering from thousands of individual tags, tag preparations can be characterized based on their brightness and uniformity. The rapid analysis of individual nanoparticles using high spectral resolution flow spectroscopy will be useful in many areas of nanoengineering.