Conventional Flow Cytometers Research Articles

Abstract 91: Comprehensive 27-marker standard panel for immune monitoring of pre-clinical tumor mouse models using spectral analyzer technology

Abstract Within the last decade, major technological advances in flow cytometry and (single cell) RNA-sequencing have deepened our understanding of complex anti-tumoral immune responses. This allows a comprehensive immune monitoring of novel therapies in pre-clinical models. Conventional flow cytometry is reaching its technical limitation. The emitted fluorescence signal of the target population stained with antibodies is evaluated with simple bandpass filters, which leads to spectral overlap and thus the number of parameters that can be analyzed simultaneously is limited. The spectral analyzer technology combines both methods, providing great flexibility in evaluating different immune cell populations. This provides the opportunity to obtain target information by measuring the entire fluorescence spectrum measuring each wavelength individually and thus evaluating the true signal of each fluorochrome unaffected by autofluorescence or spillover. Our standard all-in-one flow cytometry panel uses the full capacity of a conventional BD Fortessa flow cytometer and enables the differentiation of important immune cell populations in tumors, such as T cells (CD4+, CD8+, regulatory T cells), B and NK cells as well as macrophages (M1/M2), MDSCs (granulocytes and monocytes) and dendritic cells. However, it would be of great advantage to gain further insights into activation and effector functions of the immune cells using markers like CD44 & CD62L, CD69, PD-1, Lag-3, Tim-3 and PDL-1, CD80, CD86, CD40 and Ki-67. The Sony ID7000 spectral analyzer enables the simultaneous assessment of 27 markers to evaluate immune phenotypes, with the ability to include up to 4 individual target antibodies. Flow cytometry data from various tumor models are presented, demonstrating the enormous utility and potential of the spectral analyzer, especially with limited and precious tumor sample material, by evaluating different immune cell populations simultaneously without reaching its technical limits. The spectral analyzer technology enables us to mechanistically investigate differences in tumor therapies such as PD-1 treatment or other immune cell modulators not only phenotypically but also with regard to activation and differentiation of immune cell populations. Citation Format: Jonas F. Hummel, Philipp Metzger, Roland Sonntag, Dennis Borrero-Wolff, Cynthia Obodozie, Holger Weber. Comprehensive 27-marker standard panel for immune monitoring of pre-clinical tumor mouse models using spectral analyzer technology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 91.

A microfluidic scanning flow cytometer with superior signal-to-noise-ratio for label-free characterization of small particles

Single-cell analysis without immune-specific labelling is essential across research fields, but conventional flow cytometers (FCMs) struggle with label-free analysis. We introduce a novel microfluidic scanning flow cytometer (μSFC) designed for label-free analysis within a simple microfluidic chip. Our system outperforms traditional FCMs for label-free analysis but its signal-to-noise ratio (SNR) limits the minimum detectable size. We present three modifications to enhance SNR and improve the smallest detectable particle size: additional neutral optical density filtering, a lower noise-equivalent-power photoreceiver, and laser spot size reduction. These improvements enable reliable characterization of particles as small as 3 μm. Experimental results validate the correlation between angular profile oscillations and particle size. While reliable detection down to 1 μm is achieved, further refinement is needed. The simplicity and low setup of the μSFC make it promising for integration into multi-parametric single-cell analysis systems, facilitating comprehensive cellular characterization for diagnostic and point-of-care applications.

Spectral analysis and sorting of microbial organisms using a spectral sorter.

This chapter discusses the problems related to the application of conventional flow cytometers to microbiology. To address some of those limitations, the concept of spectral flow cytometry is introduced and the advantages over conventional flow cytometry for bacterial sorting are presented. We demonstrate by using ThermoFisher's Bigfoot spectral sorter where the spectral signatures of different stains for staining bacteria are demonstrated with an example of performing unmixing on spectral datasets. In addition to the Bigfoot's spectral analysis, the special biosafety features of this instrument are discussed. Utilizing these biosafety features, the sorting and patterning at the single cell level is optimized using non-pathogenic bacteria. Finally, the chapter is concluded by presenting a novel, label free, non-destructive, and rapid phenotypic method called Elastic Light Scattering (ELS) technology for identification of the patterned bacterial cells based on their unique colony scatter patterns.

A Microfluidics Approach for Ovarian Cancer Immune Monitoring in an Outpatient Setting.

Among cancer diagnoses in women, ovarian cancer has the fifth-highest mortality rate. Current treatments are unsatisfactory, and new therapies are highly needed. Immunotherapies show great promise but have not reached their full potential in ovarian cancer patients. Implementation of an immune readout could offer better guidance and development of immunotherapies. However, immune profiling is often performed using a flow cytometer, which is bulky, complex, and expensive. This equipment is centralized and operated by highly trained personnel, making it cumbersome and time-consuming. We aim to develop a disposable microfluidic chip capable of performing an immune readout with the sensitivity needed to guide diagnostic decision making as close as possible to the patient. As a proof of concept of the fluidics module of this concept, acquisition of a limited immune panel based on CD45, CD8, programmed cell death protein 1 (PD1), and a live/dead marker was compared to a conventional flow cytometer (BD FACSymphony). Based on a dataset of peripheral blood mononuclear cells of 15 patients with ovarian cancer across different stages of treatment, we obtained a 99% correlation coefficient for the detection of CD8+PD1+ T cells relative to the total amount of CD45+ white blood cells. Upon further system development comprising further miniaturization of optics, this microfluidics chip could enable immune monitoring in an outpatient setting, facilitating rapid acquisition of data without the need for highly trained staff.

A 19-color single-tube full spectrum flow cytometry assay for the detection of measurable residual disease in acute myeloid leukemia.

Multiparameter flow cytometry (MFC) has emerged as a standard method for quantifying measurable residual disease (MRD) in acute myeloid leukemia. However, the limited number of available channels on conventional flow cytometers requires the division of a diagnostic sample into several tubes, restricting the number of cells and the complexity of immunophenotypes that can be analyzed. Full spectrum flow cytometers overcome this limitation by enabling the simultaneous use of up to 40 fluorescent markers. Here, we used this approach to develop a good laboratory practice-conform single-tube 19-color MRD detection assay that complies with recommendations of the European LeukemiaNet Flow-MRD Working Party. We based our assay on clinically-validated antibody clones and evaluated its performance on an IVD-certified full spectrum flow cytometer. We measured MRD and normal bone marrow samples and compared the MRD data to a widely used reference MRD-MFC panel generating highly concordant results. Using our newly developed single-tube panel, we established reference values in healthy bone marrow for 28 consensus leukemia-associated immunophenotypes and introduced a semi-automated dimensionality-reduction, clustering and cell type identification approach that aids the unbiased detection of aberrant cells. In summary, we provide a comprehensive full spectrum MRD-MFC workflow with the potential for rapid implementation for routine diagnostics due to reduced cell requirements and ease of data analysis with increased reproducibility in comparison to conventional FlowMRD routines.

Accelerating discovery: A novel flow cytometric method for detecting fibrin(ogen) amyloid microclots using long COVID as a model

Long COVID has become a significant global health and economic burden, yet there are currently no established methods or diagnostic tools to identify which patients might benefit from specific treatments. One of the major pathophysiological factors contributing to Long COVID is the presence of hypercoagulability; this results in insoluble amyloid microclots that are resistant to fibrinolysis. Our previous research using fluorescence microscopy has demonstrated a significant amyloid microclot load in Long COVID patients. However, this approach lacked the elements of statistical robustness, objectivity, and rapid throughput. In the current study, we have used imaging flow cytometry for the first time to show a significantly increased concentration and size of these microclots. We identified notable variations in size and fluorescence between microclots in Long COVID and those of controls even using a 20× objective. By combining cell imaging and the high-event-rate and full-sample analysis nature of a conventional flow cytometer, imaging flow cytometry can eliminate erroneous results and increase accuracy in gating and analysis beyond what pure quantitative measurements from conventional flow cytometry can provide. Although imaging flow cytometry was used in our study, our results suggest that the signals indicating the presence of microclots should be easily detectable using a conventional flow cytometer. Flow cytometry is a more widely available technique than fluorescence microscopy and has been used in pathology laboratories for decades, rendering it a potentially more suitable and accessible method for detecting microclots in individuals suffering from Long COVID or conditions with similar pathology, such as myalgic encephalomyelitis.

Flow cytometric detection of vancomycin-resistant Enterococcus faecium in urine using fluorescently labelled enterocin K1

A urinary tract infection (UTI) occurs when bacteria enter and multiply in the urinary system. The infection is most often caused by enteric bacteria that normally live in the gut, which include Enterococcus faecium. Without antibiotic treatment, UTIs can progress to life-threatening septic shock. Early diagnosis and identification of the pathogen will reduce antibiotic use and improve patient outcomes. In this work, we develop and optimize a cost-effective and rapid (< 40 min) method for detecting E. faecium in urine. The method uses a fluorescently labelled bacteriocin enterocin K1 (FITC-EntK1) that binds specifically to E. faecium and is then detected using a conventional flow cytometer. Using this detection assay, urine containing E. faecium was identified by an increase in the fluorescent signals by 25–73-fold (median fluorescence intensity) compared to control samples containing Escherichia coli or Staphylococcus aureus. The method presented in this work is a proof of concept showing the potential of bacteriocins to act as specific probes for the detection of specific bacteria, such as pathogens, in biological samples.

Full spectrum flow cytometry in the clinical laboratory.

Contemporary full spectrum or "spectral" flow cytometry is a recently developed technology that allows for high-dimensional flow cytometric analyses of cells and particles in suspension. This single-cell technology has gained popularity in research settings because it can conservatively detect 35 or more antigens simultaneously in a single-tube assay format. Recently, spectral flow cytometry has obtained regulatory approval for use as an in vitro diagnostic device in China and Europe, enabling use of this technology in some clinical flow cytometry laboratories. The purpose of this review is to describe the basic principles of conventional and spectral flow cytometry, contrasting these two technologies. To illustrate the analytic power of spectral flow cytometry, we provide an example of spectral flow cytometry data analyses and the use of a machine learning algorithm to harvest the vast amount of information contained within large spectral flow cytometry datasets. Finally, we discuss the advantages of spectral flow cytometry adoption in clinical laboratories and preliminary studies comparing the performance of this technology relative to conventional flow cytometers that are currently used in clinical laboratory environments.

Chromosome Analysis and Sorting Using Conventional Flow Cytometers.

The fluorescent dyes Hoechst (HO) and Chromomycin A3 (CA3) are commonly used for bivariate flow karyotyping to distinguish individual chromosomes from one another based on differences in base composition and DNA content. However, analysis of chromosomes using this fluorescent dye combination requires a flow cytometer equipped with lasers of specific wavelengths and higher power than is typical of conventional flow cytometers. This unit presents a chromosome staining technique with a dye combination of DAPI and propidium iodide (PI). Chromosomes stained using this dye combination can be analyzed on conventional flow cytometers equipped with a typical configuration of lasers and optics. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Cell culture and metaphase harvest of suspension cell line Alternate Protocol 1: Cell culture and metaphase harvest of adherent cell line Basic Protocol 2: Preparation of chromosome suspension using polyamine isolation buffer Basic Protocol 3: Staining chromosomes with DAPI and propidium iodide Alternate Protocol 2: Staining chromosomes with Hoechst and Chromomycin A3 Basic Protocol 4: Bivariate flow karyotyping on a cell analyzer Basic Protocol 5: Bivariate flow karyotyping on a cell sorter Basic Protocol 6: Purification of flow-sorted chromosomes.

Development of Spectral Nano-Flow Cytometry for High-Throughput Multiparameter Analysis of Individual Biological Nanoparticles

Correlated analysis of multiple biochemical parameters at the single-particle level and in a high-throughput manner is essential for insights into the diversity and functions of biological nanoparticles (BNPs), such as bacteria and subcellular organelles. To meet this challenge, we developed a highly sensitive spectral nano-flow cytometer (S-nFCM) by integrating a spectral recording module to a laboratory-built nFCM that is 4-6 orders of magnitude more sensitive in side scattering detection and 1-2 orders of magnitude more sensitive in fluorescence detection than conventional flow cytometers. An electron-multiplying charge-coupled device (EMCCD) was used to acquire the full fluorescence spectra of single BNPs upon holographic grating dispersion. Up to 10,000 spectra can be collected in 1 min with 2.1 nm resolution. The precision, linearity, and sensitivity were examined. Complete discernment of single influenza viruses against the background signal, discrimination of different strains of marine cyanobacteria in a mixed sample based on their spectral properties of natural fluorescence, classification of bacterial categories exhibiting different patterns of antigen expression, and multiparameter analysis of single mitochondria for drug discovery were successfully demonstrated.

Development of a 27-color panel for the detection of measurable residual disease in patients diagnosed with acute myeloid leukemia.

Acute myeloid leukemia (AML) measurable residual disease (MRD) evaluated by multiparametric flow cytometry (MFC) is a surrogate for progression-free and overall survival in clinical trials and patient management. Due to the limited number of detection channels available in conventional flow cytometers, panels used for assessing AML MRD are typically split into multiple tubes. This cripples the simultaneous and correlated assessment of all myeloblast measurements. In response, we prototyped a single-tube 27-color MFC assay for the evaluation of AML MRD, incorporating all recommended markers. Marrow aspirates from 22 patients were processed for analysis using full spectrum flow cytometry (FSFC). The signal resolution of each marker was compared between samples stained with single antibody vs. the fully stained panel. The analytical accuracy for quantifying hematopoietic cells between our established 8-color assay and the new 27-color method were compared. Variations within an operator and between separate operators were assessed to evaluate the assays reproducibility. The limited of blank (LOB), limit of detection (LOD), and lower limit of quantification (LLOQ) of the 27-color method were empirically determined using limiting dilution experiments. The stability of antibody cocktails over a period of 120 h was also studied using cryopreserved marrow cells. The stain indices for all antibodies were lower in the fully stained panel compared to cells stained with one antibody but clear separations between negative and positive signals were achieved for all antibodies. Our results demonstrated a high concordance between the established 8-color method and the new 27-color assay for enumerating myeloblasts and MRD interpretation within and between operators. The data further showed that the single-tube 27-color assay easily achieved the minimum required detection sensitivity of 0.1%. When antibodies were combined, however, expression intensity of some antigens deteriorated significantly when stored. Our single-tube 27-color panel is a suitable, high sensitivity flow cytometric approach that can be used for AML MRD testing, which improves the correlation of aberrant antigens and detection of asynchronous differentiation patterns. Based on the stability study, we recommend the full panel be made prior to staining.

Abstract 629: Benefit of using a spectral flow analyzer for the analysis of immune cell populations in tumors

Abstract Flow cytometry is a widely applied approach for exploratory immune profiling and enables the identification of individual cells in a cell population, such as a tumor cell suspension, by staining cell markers with antibodies conjugated with a fluorophore. The markers allow for the differentiation of a large variety of immune cell populations, their change in frequency, and activation status upon treatment. Conventional flow cytometers, which use bandpass filters and need conventional compensation matrices, are limited by the number of parameters that can be simultaneously analyzed, restricting their utility. Spectral analysis technology promises a greater flexibility for panel design, a higher number of analyzed parameters, and more accurate visualization of results. Our standard all-in-one flow cytometry panel uses all possible fluorescent detectors of the flow analyzer BD Fortessa, which permits the differentiation of the main immune cell populations in the tumor, such as T cells (CD4+, CD8+, Treg), B and NK cells, macrophages (M1/M2), MDSCs (granulocytic and monocytic), and dendritic cells. However, in addition to immune cell frequency, it would also be interesting to investigate cell surface activation and memory markers like PD-1, CD40, CD44, or CD62L or intracellular activation markers like IFN-gamma, perforin, granzyme B, or Ki67. The 32-channel spectral flow analyzer SP6800 ZE from Sony allows the combination of both. Flow cytometry data of different tumor samples will be presented, as well as the comparison of the results and resolution of both flow analyzer systems. Auto-fluorescence of cells, which causes fluorescent signal contamination of other fluorescent markers in the conventional flow cytometer, can be subtracted using spectral technology to see the true fluorescent population, thereby allowing dim signal detection in rare populations. A comprehensive overview will be given regarding the pros and cons of the spectral analyzer system and difficulties switching from the one system to the other. Citation Format: Philipp Metzger, Muriel Malaisé, Cynthia Obodozie, Holger Weber. Benefit of using a spectral flow analyzer for the analysis of immune cell populations in tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 629.

Development of a High-Color Flow Cytometry Panel for Immunologic Analysis of Tissue Injury and Reconstruction in a Rat Model

The rat model is an important resource in biomedical research due to its similarities to the human immune system and its use for functional studies. However, because of the preponderance of mouse models in foundational and mechanistic immunological studies, there is a relative lack of diverse, commercially available flow cytometry antibodies for immunological profiling in the rat model. Available antibodies are often conjugated to common fluorophores with similar peak emission wavelengths, making them hard to distinguish on conventional flow cytometers and restricting more comprehensive immune analysis. This can become a limitation when designing immunological studies in rat injury models to investigate the immune response to tissue injury. In addition, this lack of available antibodies limits the number of studies that can be done on the immune populations in lymphoid organs in other research areas. To address this critical unmet need, we designed a spectral flow cytometry panel for rat models. Spectral cytometry distinguishes between different fluorophores by capturing their full emission spectra instead of their peak emission wavelengths. This flow cytometry panel includes 24 distinct immune cell markers to analyze the innate and adaptive immune response. Importantly, this panel identifies different immune phenotypes, including tolerogenic, Type 1, and Type 2 immune responses. We show that this panel can identify unique immune populations and phenotypes in a rat muscle trauma model. We further validated that the panel can identify distinct adaptive and innate immune populations and their unique phenotypes in lymphoid organs. This panel expands the scope of previous rat panels providing a tool for scientists to examine the immune system in homeostasis and injury while pairing mechanistic immunological studies with functional studies.

Automated lightless cytometry on a microchip with adaptive immunomagnetic manipulation

Surface expression of cell populations are often sought as diagnostic and prognostic biomarkers in hematology-oncology and infectious diseases, making flow cytometry an invaluable technique for both clinical and basic research applications. On the other hand, the reliance of flow cytometry on manual input parameters and user protocols for operation introduces variation between analyses while potentially leading to errors in measurements. In this work, we introduce an integrated flow cytometry microchip that automatically adapts to the sample it interrogates. Our device measures the antigen expression in a sample by automatically analyzing the response of immunomagnetically labeled cells to an external magnetic field through integrated electrical sensors and by continuously modulating the time the cells are subjected to the field for optimal sensitivity and dynamic range. Furthermore, the lack of optical illumination and fluorescence detectors enables automated analysis to be carried on a fully integrated platform that is particularly well suited for translation into point-of-care testing and mobile screening. We applied our automated cytometry chip on both pure and mixed cell populations and validated its operation by benchmarking against a conventional flow cytometer. By transforming the utility-proven flow cytometry, a technique that has long been dependent on an operator in centralized laboratories, into a standardized disposable test for bedside or home testing, the automated flow cytometry microchip introduced here has the potential to enable self-screening for telemedicine and wellness.

Nucleic Acid Substrate-Independent DNA Polymerization on the Exosome Membrane: A Mechanism Study and Application in Exosome Analysis.

As generally acknowledged, terminal deoxynucleotidyl transferase (TdT) can only elongate DNA substrates from their 3'-OH ends. Herein, for the first time, we report that TdT-catalyzed DNA polymerization can directly proceed on the exosome membrane without the mediation of any nucleic acids. We prove that both the glycosyl and phenolic hydroxyl groups on the membrane proteins can initiate the DNA polymerization. Accordingly, we have developed powerful strategies for high-sensitive exosome profiling based on a conventional flow cytometer and an emerging CRISPR/Cas system. By using our strategy, the featured membrane protein distributions of different cancer cell-derived exosomes can be figured out, which can clearly distinguish plasma samples of breast cancer patients from those of healthy people. This work paves new ways for exosome profiling and liquid biopsy and expands the understanding of TdT, holding great significance in developing TdT-based sensing systems as well as establishing protein/nucleic acid hybrid biomaterials.

A Flow Cytometry-Based Method for Analyzing DNA End Resection in G0- and G1-Phase Mammalian Cells.

DNA double strand breaks (DSBs) constantly arise in cells during normal cellular processes or upon exposure to genotoxic agents, and are repaired mostly by homologous recombination (HR) and non-homologous end joining (NHEJ). One key determinant of DNA DSB repair pathway choice is the processing of broken DNA ends to generate single strand DNA (ssDNA) overhangs, a process termed DNA resection. The generation of ssDNA overhangs commits DSB repair through HR and inhibits NHEJ. Therefore, DNA resection must be carefully regulated to avoid mis-repaired or persistent DSBs. Accordingly, many approaches have been developed to monitor ssDNA generation in cells to investigate genes and pathways that regulate DNA resection. Here we describe a flow cytometric approach measuring the levels of replication protein A (RPA) complex, a high affinity ssDNA binding complex composed of three subunits (RPA70, RPA32, and RPA14 in mammals), on chromatin after DNA DSB induction to assay DNA resection. This flow cytometric assay requires only conventional flow cytometers and can easily be scaled up to analyze a large number of samples or even for genetic screens of pooled mutants on a genome-wide scale. We adopt this assay in G0- and G1- phase synchronized cells where DNA resection needs to be kept in check to allow normal NHEJ.

MPAPASS software enables stitched multiplex, multidimensional EV repertoire analysis and a standard framework for reporting bead-based assays

SummaryExtracellular vesicles (EVs) of various types are released or shed from all cells. EVs carry proteins and contain additional protein and nucleic acid cargo that relates to their biogenesis and cell of origin. EV cargo in liquid biopsies is of widespread interest owing to its ability to provide a retrospective snapshot of cell state at the time of EV release. For the purposes of EV cargo analysis and repertoire profiling, multiplex assays are an essential tool in multiparametric analyte studies but are still being developed for high-parameter EV protein detection. Although bead-based EV multiplex analyses offer EV profiling capabilities with conventional flow cytometers, the utilization of EV multiplex assays has been limited by the lack of software analysis tools for such assays. To facilitate robust EV repertoire studies, we developed multiplex analysis post-acquisition analysis (MPAPASS) open-source software for stitched multiplex analysis, EV database-compatible reporting, and visualization of EV repertoires.

Rolling Circle Amplification-Assisted Flow Cytometry Approach for Simultaneous Profiling of Exosomal Surface Proteins.

Exosomes that carry multiple proteins from the originating cells are known as emerging biomarkers for tumor diagnostics. However, it is still technically challenging to accurately evaluate subtle differences of exosomal membrane proteins. Here, we developed a rolling circle amplification (RCA)-assisted flow cytometry approach (FCA) to simultaneously profile surface proteins and quantify exosomes. In this work, specific anti-CD63 antibody-conjugated magnetic beads were first utilized to capture exosomes. Then, the captured exosomes were bound with DNA primers, which comprise exosomal surface protein-specific recognition aptamers. The RCA reaction generates repeat DNA sequences for fluorescent probe hybridization. Finally, a conventional flow cytometer was introduced to phenotype exosomal protein markers. Such a sensitive RCA-assisted FCA displays an excellent detection limit of 1.3 × 105 exosome/mL. The variable composition of four protein markers on different cell-derived exosomes was sensitively detected through changing the protein-recognition sequence of the DNA primer, which reveals a heterogeneous pattern. Exosomes from different cell sources could be distinguished by the abundance difference of multiple surface proteins. Furthermore, the developed RCA-assisted FCA enabled quantitative analysis of blood samples from lung cancer patients, indicating its potential for early clinical diagnosis and prognosis of cancer.

Multi-angle pulse shape detection of scattered light in flow cytometry for label-free cell cycle classification

Flow cytometers are robust and ubiquitous tools of biomedical research, as they enable high-throughput fluorescence-based multi-parametric analysis and sorting of single cells. However, analysis is often constrained by the availability of detection reagents or functional changes of cells caused by fluorescent staining. Here, we introduce MAPS-FC (multi-angle pulse shape flow cytometry), an approach that measures angle- and time-resolved scattered light for high-throughput cell characterization to circumvent the constraints of conventional flow cytometry. In order to derive cell-specific properties from the acquired pulse shapes, we developed a data analysis procedure based on wavelet transform and k-means clustering. We analyzed cell cycle stages of Jurkat and HEK293 cells by MAPS-FC and were able to assign cells to the G1, S, and G2/M phases without the need for fluorescent labeling. The results were validated by DNA staining and by sorting and re-analysis of isolated G1, S, and G2/M populations. Our results demonstrate that MAPS-FC can be used to determine cell properties that are otherwise only accessible by invasive labeling. This approach is technically compatible with conventional flow cytometers and paves the way for label-free cell sorting.

Panel Optimization for High-Dimensional Immunophenotyping Assays Using Full-Spectrum Flow Cytometry.

Technological advancements in fluorescence flow cytometry and an ever-expanding understanding of the complexity of the immune system have led to the development of large flow cytometry panels reaching up to 43 colors at the single-cell level. However, as panel size and complexity increase, so too does the detail involved in designing and optimizing successful high-quality panels fit for downstream high-dimensional data analysis. In contrast to conventional flow cytometers, full-spectrum flow cytometers measure the entire emission spectrum of each fluorophore across all lasers. This allows for fluorophores with very similar emission maxima but unique overall spectral fingerprints to be used in conjunction, enabling relatively straightforward design of larger panels. Although a protocol for best practices in full-spectrum flow cytometry panel design has been published, there is still a knowledge gap in going from the theoretically designed panel to the necessary steps required for panel optimization. Here, we aim to guide users through the theory of optimizing a high-dimensional full-spectrum flow cytometry panel for immunophenotyping using comprehensive step-by-step protocols. These protocols can also be used to troubleshoot panels when issues arise. A practical application of this approach is exemplified with a 24-color panel designed for identification of conventional T-cell subsets in human peripheral blood. © 2021 Malaghan Institute of Medical Research, Cytek Biosciences. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Preparation and evaluation of optimal spectral reference controls Support Protocol 1: Antibody titration Support Protocol 2: Changing instrument settings Basic Protocol 2: Unmixing evaluation of fully stained sample Basic Protocol 3: Evaluation of marker resolution Support Protocol 3: Managing heterogeneous autofluorescence Basic Protocol 4: Assessment of data quality using expert gating and dimensionality reduction algorithms.