Investigation of Signaling in Primary Populations of Human Senescent T Cells.

Mitogen-activated protein kinases, a family of three stress-related kinases, the Erks and Jnks and p38s, are activated by three-layer transphosphorylation cascades and are important for the activation, differentiation, and effector functions of lymphocytes. Recent studies on the aged immune systems from both humans and mice have uncovered a different mode of MAPK signaling that is independent of canonical activation cascades and instead occurs through simultaneous self-phosphorylation reactions within the sestrin-MAPK activation complex (sMAC), an immune-inhibitory complex not previously observed. In this chapter, we discuss methodologies to study these pathways at the population and single cell level, which allows rejuvenating immune cell differentiation and fate.

Transcription Factor Analysis to Investigate Immunosenescence in Rheumatoid Arthritis Patients.

Rheumatoid arthritis (RA) is linked to various signs of advanced aging, such as premature immunosenescence which occurs due to decline in regenerative ability of T cells. RA T cells develop a unique aggressive inflammatory senescent phenotype with an imbalance of Th17/T regulatory (Treg) cell homeostasis and presence of CD28- T cells. The phenotypic analysis and characterization of T cell subsets become necessary to ascertain if any functional deficiencies exist within with the help of transcription factor (TF) analysis. These subset-specific TFs dictate the functional characteristics of T-cell populations, leading to the production of distinct effector cytokines and functions. Examining the expression, activity, regulation, and genetic sequence of TFs not only aids researchers in determining their importance in disease processes but also aids in immunological monitoring of patients enrolled in clinical trials, particularly in evaluating various T-cell subsets [Th17 (CD3+CD4+IL17+RORγt+) cells and T regulatory (Treg) (CD3+CD4+CD25+CD127-FOXP3+) cells], markers of T-cell aging [aged Th17 cells (CD3+CD4+IL17+RORγt+CD28-), and aged Treg cells (CD3+CD4+CD25+CD127-FOXP3+CD28-)]. In this context, we propose and outline the protocols for assessing the expression of TFs in aged Th17 and Treg cells, highlighting the crucial aspects of this cytometric approach.

Method to Assess Immunosenescent CD8+ T Cells in Respiratory Viral Infections.

Immunosenescence is a well-characterized phenomenon that occurs with increasing age in all immune and somatic cells. In order to best study immunosenescence, it is imperative to develop methods to accurately identify immunosenescent cells. Elderly patients are known to have impaired immune responses to respiratory viruses, and it is hypothesized that this is due, in part, to immunosenescent, terminally exhausted CD8+ T cells. To test this hypothesis, we developed an aged mouse model and a flow cytometry protocol using the Cytek® Aurora to assess the CD8+ T-cell response during respiratory viral infection and identify immunosenescent CD8+ T cells. This protocol and our aged mouse model have great potential to be incredibly valuable for future studies elucidating how to rejuvenate and possibly reverse immunosenescent CD8+ T cells, which could improve the immune response to respiratory viruses in this at-risk population.

Assessment of Viability of Listeria monocytogenes by Flow Cytometry.

In food industry, Listeria monocytogenes contamination can occur accidentally despite the quality control of raw materials and factory. Decontamination processes or inhibitory effects of ingredients/additives in food products are set up to ensure compliance with hygiene and microbiological criteria. These actions represent stresses for the pathogenic agent, causing fluctuations in its physiological states. Moreover, during these environmental stresses, Listeria monocytogenes can enter in a viable but nonculturable (VBNC) state which is not detected by plate counting but by flow cytometry. This technique coupled with cell staining by fluorescent dyes offers the possibility to assess different physiological states based on different cellular parameters: enzymatic activity, transmembrane integrity, membrane potential, and respiratory activity. In this chapter, we present a method to assess the viability of foodborne pathogens using a double-staining principle based on the assessment of membrane integrity and intracellular esterase activity.

Flow Cytometry and Automated Microscopy Integration for Phagocytic Analysis of Hypervirulent Klebsiella pneumoniae in Dictyostelium discoideum.

This chapter introduces protocols for culturing and maintaining Dictyostelium discoideum and methods for conducting virulence assays in this organism to study bacterial pathogenicity. It outlines advanced techniques, such as automated microscopy and flow cytometry, for detailed cellular analysis and traditional microbiological approaches. These comprehensive protocols will enable researchers to probe the virulence factors of pathogens like Klebsiella pneumoniae and to elucidate the details of host-pathogen interactions within a cost-effective and adaptable laboratory framework.

γδ T-Cell Immunophenotype for the Study of Human Aging.

Flow cytometry serves as a crucial tool in immunology, allowing for the detailed analysis of immune cell populations. γδ T cells, a subset of T cells, play pivotal roles in immune surveillance and immune aging. Assessing the phenotype and functional capabilities of γδ T cells isolated from whole blood or tissue within the context of human aging yields invaluable insights into the dynamic changes affecting immune function, tissue homeostasis, susceptibility to infections, and inflammatory responses.

In Vitro Interaction Between Yeast Extracellular Vesicles and Human Monocyte-Derived Dendritic Cells.

Extracellular vesicles (EVs) are lipid-bound particles produced by a wide variety of cells from different biological species. EVs can carry molecules, such as nucleic acids and metabolites, and are involved in cell functioning, communication, and signaling. Recent literature reported that pathogenic or commensal yeast strains can produce EVs targeting the host's immune system and exerting immunomodulatory actions. In humans, yeast EVs can be endocytosed by dendritic cells (DCs), characterized by phagocyting and migrating capabilities with the role of capturing antigens to present to T lymphocytes, triggering the immune response. Physiological or disease-associated immunosenescence impairs both DC functionality and gut microbiota; thus investigating the interaction between commensal microorganisms and the host's immune system would help elucidate the impact of aging on the immune system-microbiota interplay. We hereby present a protocol for the incubation of in vitro-generated human monocyte-derived DCs with EVs purified from different yeast strains isolated from fermented milk. The protocol includes flow cytometry analysis on DC activation markers and endocytosis assay.

Phenotypic Characterization of B-Lymphocyte Subpopulations in Human Peripheral Blood: A Cost-Effective Seven-Color One-Tube Protocol.

B cells are crucial components of the immune system, responsible for producing specific antibodies in response to infections and vaccines. Despite their uniform appearance, B cells display diverse surface molecules and functional properties, which are not yet fully understood. Apart from antibody production, B cells also play roles in antigen presentation and cytokine secretion, essential for initiating T-cell immune responses. Their significance as disease biomarkers and therapeutic targets has led to increased research focus. However, the lack of standardized protocols for B-cell identification and the variability in defining B-lymphocyte subpopulations pose some challenges. This paper proposes a B-cell identification panel throughout the evaluation of previous cytometry panels and nomenclature heterogeneity for B-cell subpopulations. Major subpopulations recognized in human peripheral blood include transitional, naive, switched memory, unswitched memory, double negative, and plasmablasts, characterized based on their functional and phenotypic features. We present a standardized flow cytometry protocol utilizing surface phenotypic markers (CD3, CD19, IgD, CD27, CD38, and CD24) to differentiate and analyze B-cell subpopulations. This practical and cost-effective panel can be used in various research and laboratory settings. The challenges of standardizing names and markers for classifying B-lymphocyte subpopulations are discussed, along with protocols utilizing multiple markers and gating strategies, allied with the importance of considering viability markers. In summary, this standardized protocol and panel provide a comprehensive approach to identifying B-cell subpopulations to enhance the reproducibility and comparability of B-cell subpopulation studies.

Characterization of Age-Dependent Changes in Skeletal Muscle Repair and Regeneration Using a Mouse Model of Acute Muscle Injury.

Acute skeletal muscle injury initiates a process of necrosis, debris clearance, and ultimately tissue regeneration via myogenesis. While skeletal muscle stem cells (MuSCs) are responsible for populating the proliferative myogenic progenitor pool to fuel muscle repair, recruited and resident immune cells have a central role in the regulation of muscle regeneration via the execution of phagocytosis and release of soluble factors that act directly on MuSCs to regulate myogenic differentiation. Therefore, the timing of MuSC proliferation and differentiation is closely linked to the populations and behaviors of immune cells present within skeletal muscle. This has important implications for aging and muscle repair, as systemic changes in immune system function contribute to a decline in muscle regenerative capacity. Here, we present adapted protocols for the isolation of mononuclear cells from skeletal muscles for the quantification of immune cell populations using flow cytometry. We also describe a cardiotoxin skeletal muscle injury protocol and detail the expected outcomes including immune cell infiltration to the injured sites and formation of new myocytes. As immune cell function is substantially influenced by aging, we extend these approaches and outcomes to aged mice.

Single-cell phenotypic profiling and backtracing exposes and predicts clinically relevant subpopulations in isogenic Staphylococcus aureus communities.

Isogenic bacterial cell populations are phenotypically heterogenous and may include subpopulations of antibiotic tolerant or heteroresistant cells. The reversibility of these phenotypes and lack of biomarkers to differentiate functionally different, but morphologically identical cells is a challenge for research and clinical detection. To overcome this, we present ´Cellular Phenotypic Profiling and backTracing (CPPT)´, a fluorescence-activated cell sorting platform that uses fluorescent probes to visualize and quantify cellular traits and connects this phenotypic profile with a cell´s experimentally determined fate in single cell-derived growth and antibiotic susceptibility analysis. By applying CPPT on Staphylococcus aureus we phenotypically characterized dormant cells, exposed bimodal growth patterns in colony-derived cells and revealed different culturability of single cells on solid compared to liquid media. We demonstrate that a fluorescent vancomycin conjugate marks cellular subpopulations of vancomycin-intermediate S. aureus with increased likelihood to survive antibiotic exposure, showcasing the value of CPPT for discovery of clinically relevant biomarkers.

AutoGater: a weakly supervised neural network model to gate cells in flow cytometric analyses.

Flow cytometry is a useful and efficient method for the rapid characterization of a cell population based on the optical and fluorescence properties of individual cells. Ideally, the cell population would consist of only healthy viable cells as dead cells can confound the analysis. Thus, separating out healthy cells from dying and dead cells, and any potential debris, is an important first step in analysis of flow cytometry data. While gating of debris can be conducted using measured optical properties, identifying dead and dying cells often requires utilizing fluorescent stains (e.g. Sytox, a nucleic acid stain that stains cells with compromised cell membranes) to identify cells that should be excluded from downstream analyses. These stains prolong the experimental preparation process and use a flow cytometer's fluorescence channels that could otherwise be used to measure additional fluorescent markers within the cells (e.g. reporter proteins). Here we outline a stain-free method for identifying viable cells for downstream processing by gating cells that are dying or dead. AutoGater is a weakly supervised deep learning model that can separate healthy populations from unhealthy and dead populations using only light-scatter channels. In addition, AutoGater harmonizes different measurements of dead cells such as Sytox and CFUs.

Analysis of the Leishmania mexicana promastigote cell cycle using imaging flow cytometry provides new insights into cell cycle flexibility and events of short duration.

Promastigote Leishmania mexicana have a complex cell division cycle characterised by the ordered replication of several single-copy organelles, a prolonged S phase and rapid G2 and cytokinesis phases, accompanied by cell cycle stage-associated morphological changes. Here we exploit these morphological changes to develop a high-throughput and semi-automated imaging flow cytometry (IFC) pipeline to analyse the cell cycle in live L. mexicana. Firstly, we demonstrate that, unlike several other DNA stains, Vybrant™ DyeCycle™ Orange (DCO) is non-toxic and enables quantitative DNA imaging in live promastigotes. Secondly, by tagging the orphan spindle kinesin, KINF, with mNeonGreen, we describe KINF's cell cycle-dependent expression and localisation. Then, by combining manual gating of DCO DNA intensity profiles with automated masking and morphological measurements of parasite images, visual determination of the number of flagella per cell, and automated masking and analysis of mNG:KINF fluorescence, we provide a newly detailed description of L. mexicana promastigote cell cycle events that, for the first time, includes the durations of individual G2, mitosis and post-mitosis phases, and identifies G1 cells within the first 12 minutes of the new cell cycle. Our custom-developed masking and gating scheme allowed us to identify elusive G2 cells and to demonstrate that the CDK-inhibitor, flavopiridol, arrests cells in G2 phase, rather than mitosis, providing proof-of-principle of the utility of IFC for drug mechanism-of-action studies. Further, the high-throughput nature of IFC allowed the close examination of promastigote cytokinesis, revealing considerable flexibility in both the timing of cytokinesis initiation and the direction of furrowing, in contrast to the related kinetoplastid parasite, Trypanosoma brucei and many other cell types. Our new pipeline offers many advantages over traditional methods of cell cycle analysis such as fluorescence microscopy and flow cytometry and paves the way for novel high-throughput analysis of Leishmania cell division.

Single nucleus DNA sequencing of flow sorted archived frozen and formalin fixed paraffin embedded solid tumors.

BACKGROUND: Archived samples, including frozen and formalin fixed paraffin embedded (FFPE) tissues, are a vast resource of clinically annotated materials for the application of high-definition genomics to improve patient management and provide a molecular basis for the delivery of personalized cancer therapeutics. Notably, FFPE tissues are stable, provide repeat sampling of tissues of interest, and can be stored indefinitely at ambient temperature. The development of single cell DNA sequencing (scDNA-seq) technologies provides an unparalleled opportunity for the study of tumor heterogeneity and the identification of often rare subclonal cell populations that drive tumor evolution and progression to advanced therapy resistant disease. However, major limitations to the use of archived tissues for scDNA-seq include the low yields of intact cells in the presence of high levels of subcellular debris in biopsies, and the highly variable quantity and quality of the DNA extracted from samples of interest. The latter is of high significance for the use of FFPE tissues due to the presence of DNA-protein crosslinks. In addition, many samples, notably tumors arising in solid tissues, contain admixtures of reactive stroma, inflammatory cells, and necrosis in immediate contact with tumor cells. RESULTS: To expand their use for translational studies, we optimized flow sorting and sequencing of single nuclei from archived fresh frozen (FF) and FFPE tumor tissues. Our methods, which include isolation of intact nuclei suitable for library preparations, quality control (QC) metrics for each step, and a single cell sequencing bioinformatic processing and analysis pipeline, were validated with flow sorted nuclei from matching FF and FFPE ovarian cancer surgical samples and a sequencing panel of 553 amplicons targeting single nucleotide and copy number variants in genes of interest. CONCLUSIONS: Our flow sorting based protocol provides intact nuclei suitable for snDNA-seq from archival FF and FFPE tissues. Furthermore, we have developed QC steps that optimize the preparation and selection of samples for deep single cell clonal profiling. Our data processing pipeline captures rare subclones in tumors with highly variable genomes based on variants in genes of interest.

Whole Blood Assay with Dual Co-Stimulation for Antigen-Specific Analysis of Host Immunity to Fungal and Viral Pathogens.

Rapid and resource-efficient sample processing, high throughput, and high robustness are critical for effective scientific and clinical application of advanced antigen-specific immunoassays. Traditionally, such immunoassays, especially antigen-specific T-cell analysis by flow cytometry or enzyme-linked immunosorbent spot assays, often rely on the isolation of peripheral blood mononuclear cells. This process is time-consuming, subject to many pre-analytic confounders, and requires large blood volumes. Whole blood-based assays provide a facile alternative with increased pre-analytic robustness and lower blood volume requirements. Furthermore, whole blood-based assays allow for the preservation of inter-cellular interactions that are not captured by assays using isolated cell subsets. Recently, a refined whole blood immunoassay with dual anti-CD28 and anti-CD49d co-stimulation for comprehensive analysis of both antigen-specific T-cell functions and complex intercellular interactions in response to various fungal and viral antigens has been proposed. This protocol provides guidance for the preparation of stimulation tubes, blood stimulation, and downstream sample processing for flow cytometry, cytokine secretion assays, and transcriptional analyses. This includes a validated and functionally equivalent, previously unpublished, low-volume protocol (250 µL) to make flow cytometric and cytokine-based T-cell monitoring more accessible for studies in pediatric patients or preclinical studies in small animals (e.g., mice). Altogether, these protocols provide a versatile toolbox for complex antigen-specific immune analysis in both clinical and translational research settings.

Isolation and Characterization of Exosomes Derived from Mouse Spleen Tissues.

Exosomes (Exo) are lipid-bilayer structures secreted by various cells, including those of animals, plants, and prokaryotes. Previous studies have revealed that Exo derived from humoral or cell-supernatant are promising targets for novel diagnostic or prognostic biomarkers, underscoring their significant role in disease pathogenesis. Tissue-derived Exo (Ti-Exo) have attracted increasing attention due to its ability to accurately reflect tissue specificity and the microenvironment. Ti-Exo, present in interstitial space, play crucial roles in intercellular communication and cross-organ signaling. Despite their recognized value in elucidating disease mechanisms, isolating Ti-Exo remains challenging due to the complexity of tissue matrices and variability in extraction methods. In this study, we developed a practical protocol for isolating exosomes from mice spleen tissue, providing a reproducible technique for subsequent identification analysis and functional studies. We used Type I collagenase digestion combined with differential ultracentrifugation to isolate spleen-derived Exo. The characteristics of isolated Exo were determined through electron microscopy, the nano-flow cytometer, and the western blot. The isolated spleen-derived Exo displayed the typical morphology of lipid bilayer vesicles, with particle sizes ranging from 30 nm to 150 nm. In addition, the expression profile of exosome markers confirmed the presence and purity of exosomes. Taken together, we successfully established a practical protocol for isolating spleen-derived Exo in mice.

Can Immature Granulocyte Counting be Utilized in the Selection of Samples for Flow Cytometric Enumeration of Stem Cells?

BACKGROUND: This study aimed to compare the IMG counting by an auto hematology analyzer with the flow cytometric enumeration of CD34+ cells. METHODS: All data from 124 samples submitted to the hematology laboratory for CD34+ cell counting in 2019 and 2020 were retrospectively evaluated. Whole blood samples were taken into EDTA tubes and assayed within 2 hours. The numbers and percentages of WBC and IMG were determined by using Mindray BC6200 hematology analyzer, while the same were determined for CD45 and CD34+ cells by using Beckman Coulter Navios flow cytometer. The performance of the new method was determined by the receiver operating characteristic (ROC) analysis. RESULTS: Out of the 124 samples, 94 were collected from healthy individuals and 30 were collected from patients. A significant correlation was found between IMG and CD34+ cell counts in all patients (r = 0.71, p = 0.000) at the cutoff values of > 20/µL and > 50/µL. The Bland-Altman analysis of all patients showed that there was an agreement between the two methods. When the cutoff value of 20/µL for CD34+ cells was used in the ROC analysis, the sensitivity and specificity were calculated as 100 (96.1 - 100) and 96.77 (83.3 - 99.9), respectively, for the IMG count of > 900/µL. CONCLUSIONS: An IMG count of 900/µL can be used as the cutoff value in the analysis with the Mindray BC6200. The IMG counting cannot replace the flow cytometric CD34+ cell enumeration but can be used in the selection of the samples for stem cell enumeration by flow cytometry.

Novel endothelial progenitor cells populations as biomarkers of damage and remission in systemic lupus erythematosus.

INTRODUCTION: Endothelial progenitor cells (EPCs) are essential for maintenance of vascular homeostasis and stability, key processes in the pathogenesis of systemic lupus erythematosus (SLE). However, the role and phenotypic characterization of EPCs populations in SLE have not been completely elucidated. OBJECTIVE: To identify EPCs specific subpopulations in patients with SLE using a novel flow cytometry tool. METHODS: Peripheral blood mononuclear cells (PBMCs) were isolated from patients with SLE and healthy controls (HC). mRNA and surface protein expression were determined by quantitative PCR (qPCR) and flow cytometry. Clusters identification and characterization were performed using tSNE-CUDA dimensionality reduction algorithms. RESULTS: tSNE-CUDA analysis identified eight different clusters in PBMCs from HC and patients with SLE. Three of these clusters had EPC-like phenotype and the expression was elevated in patients with SLE. Moreover, four SLE-associated subclusters were found mainly expressed in patients with SLE, being only present in patients in remission with SLE and significantly associated with the 2021 Definition of Remission in SLE. Importantly, we also identified specific clusters in SLE patients with organ damage, according to the Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology damage index (SDI). These clusters showed an EPC-like phenotype, but the expression of angiogenic markers was lower compared to HC or patients without organ damage, suggesting an impaired angiogenic function. CONCLUSION: Our novel approach identified clusters of EPCs in patients with SLE that are associated with remission and damage. Therefore, these clusters might be useful biomarkers to predict disease progression and severity in SLE pathogenesis.

Reduction of misdiagnosis in urinary tract infections during pregnancy: The role of adjusted urine flow cytometry parameters.

INTRODUCTION: Urinary tract infections (UTIs) pose a significant health concern, particularly among pregnant women, for whom accurate diagnosis is essential. However, the use of Urine flow cytometry (UF) for detecting UTIs in this demographic often results in misdiagnosis. The objective of this study was to explore the reasons behind these diagnostic errors and to develop a strategy to minimize the rate of UTI misdiagnosis in pregnant women. MATERIAL AND METHODS: The study enrolled 1,200 women aged 18 to 40 years, categorized into pregnant and non-pregnant groups. UTIs were diagnosed using urine bacterial culture, microscopic examination, and UF, followed by statistical analysis to identify any discrepancies in diagnosis between the groups. Following the calibration of UF analyzer's parameters, the most effective CR(WBC)-CW-FSC-P Gain setting for diagnosing UTIs in pregnant women through UF was ascertained by applying the Youden index. RESULTS: The clinical diagnosis rate of UTIs was significantly higher in pregnant women (40.91%) compared to non-pregnant women (20.26%). However, urine microscopy and bacterial culture showed no significant difference in the rates of UTIs between the two groups, suggesting a potential for misdiagnosis. The false-positive rate for WBCs detected by UF was 30.43%, and adjusting the CR(WBC)-CW-FSC-P Gain value of UF reduced the false-positive rate to 9.45%. CONCLUSION: The incidence of UTIs in pregnant women may be overestimated because of the limitations inherent to UF. Adjusting the parameters of the UF analyzer, particularly the CR(WBC)-CW-FSC-P Gain value, can significantly reduce the rate of UTI misdiagnosis in pregnant women.

Identification of a Novel Subset of Human Airway Epithelial Basal Stem Cells.

The basal cell maintains the airway's respiratory epithelium as the putative resident stem cell. Basal cells are known to self-renew and differentiate into airway ciliated and secretory cells. However, it is not clear if every basal cell functions as a stem cell. To address functional heterogeneity amongst the basal cell population, we developed a novel monoclonal antibody, HLO1-6H5, that identifies a subset of KRT5+ (cytokeratin 5) basal cells. We used HLO1-6H5 and other known basal cell-reactive reagents to isolate viable airway subsets from primary human airway epithelium by Fluorescence Activated Cell Sorting. Isolated primary cell subsets were assessed for the stem cell capabilities of self-renewal and differentiation in the bronchosphere assay, which revealed that bipotent stem cells were, at minimum 3-fold enriched in the HLO1-6H5+ cell subset. Crosslinking-mass spectrometry identified the HLO1-6H5 target as a glycosylated TFRC/CD71 (transferrin receptor) proteoform. The HLO1-6H5 antibody provides a valuable new tool for identifying and isolating a subset of primary human airway basal cells that are substantially enriched for bipotent stem/progenitor cells and reveals TFRC as a defining surface marker for this novel cell subset.

Label-free ghost cytometry for manufacturing of cell therapy products.

Automation and quality control (QC) are critical in manufacturing safe and effective cell and gene therapy products. However, current QC methods, reliant on molecular staining, pose difficulty in in-line testing and can increase manufacturing costs. Here we demonstrate the potential of using label-free ghost cytometry (LF-GC), a machine learning-driven, multidimensional, high-content, and high-throughput flow cytometry approach, in various stages of the cell therapy manufacturing processes. LF-GC accurately quantified cell count and viability of human peripheral blood mononuclear cells (PBMCs) and identified non-apoptotic live cells and early apoptotic/dead cells in PBMCs (ROC-AUC: area under receiver operating characteristic curve = 0.975), T cells and non-T cells in white blood cells (ROC-AUC = 0.969), activated T cells and quiescent T cells in PBMCs (ROC-AUC = 0.990), and particulate impurities in PBMCs (ROC-AUC ≧ 0.998). The results support that LF-GC is a non-destructive label-free cell analytical method that can be used to monitor cell numbers, assess viability, identify specific cell subsets or phenotypic states, and remove impurities during cell therapy manufacturing. Thus, LF-GC holds the potential to enable full automation in the manufacturing of cell therapy products with reduced cost and increased efficiency.