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.

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.

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.

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.

Enhanced visualization of nuclear staining and cell cycle analysis for the human commensal Malassezia.

Malassezia is a lipophilic commensal yeast that resides mainly on the mammalian skin and is also found to associate with the internal organs. Dysbiosis of Malassezia is related to several diseases and often escapes detection as it is difficult to culture and maintain. Malassezia cell wall differs from other budding yeasts like S. cerevisiae due to the difference in the lipid content and is difficult to transform. In this study, we present a methodology to stain Malassezia's nucleus and perform cell cycle studies. However, staining presents a challenge due to its exceptionally thick cell wall with high lipid content, hindering conventional methods. Our novel methodology addresses this challenge and enables the staining of the Malassezia nucleus with a low background. This would allow researchers to visualize the overall nuclear health specifically nuclear morphology and analyze DNA content, crucial for cell cycle progression. By employing DNA-specific dyes like DAPI or Hoechst, we can observe the nuclear structure, and using PI we can differentiate cells in distinct cell cycle phases using techniques like flow cytometry. This novel staining methodology unlocks the door for in-depth cell cycle analysis in Malassezia which has challenged us through ages being refractory to genetic manipulations, paving the way for a deeper understanding of this commensal fungus and its potential role in human health.

A flow cytometry method for quantitative measurement and molecular investigation of the adhesion of bacteria to yeast cells.

The study of microorganism interactions is important for understanding the organization and functioning of microbial consortia. Additionally, the interaction between yeast and bacteria is of interest in the field of health and nutrition area for the development of probiotics. To investigate these microbial interactions at the cellular and molecular levels, a simple, reliable, and quantitative method is proposed. We demonstrated that flow cytometry enables the measurement of interactions at a single-cell level by detecting and counting yeast cells with bound fluorescent bacteria. Imaging flow cytometry revealed that the number of bacteria attached to yeast followed a Gaussian distribution whose maximum reached 14 bacterial cells using a clinical Escherichia coli strain E22 and the laboratory yeast strain BY4741. We found that the dynamics of adhesion resemble a Langmuir adsorption model, albeit it is a rapid and almost irreversible process. This adhesion is dependent on the mannose-specific type 1 fimbriae, as E. coli mutants lacking these appendages no longer adhere to yeast. However, this type 1 fimbriae-dependent adhesion could involve additional yeast cell wall factors, since the interaction between bacteria and yeast mutants with altered mannan content remained comparable to that of wild-type yeast. In summary, flow cytometry is an appropriate method for studying bacteria-yeast adhesion, as well as for the high-throughput screening of candidate molecules likely to promote or counteract this interaction.

ImmCellTyper facilitates systematic mass cytometry data analysis for deep immune profiling.

Mass cytometry is a cutting-edge high-dimensional technology for profiling marker expression at the single-cell level, advancing clinical research in immune monitoring. Nevertheless, the vast data generated by cytometry by time-of-flight (CyTOF) poses a significant analytical challenge. To address this, we describe ImmCellTyper (https://github.com/JingAnyaSun/ImmCellTyper), a novel toolkit for CyTOF data analysis. This framework incorporates BinaryClust, an in-house developed semi-supervised clustering tool that automatically identifies main cell types. BinaryClust outperforms existing clustering tools in accuracy and speed, as shown in benchmarks with two datasets of approximately 4 million cells, matching the precision of manual gating by human experts. Furthermore, ImmCellTyper offers various visualisation and analytical tools, spanning from quality control to differential analysis, tailored to users' specific needs for a comprehensive CyTOF data analysis solution. The workflow includes five key steps: (1) batch effect evaluation and correction, (2) data quality control and pre-processing, (3) main cell lineage characterisation and quantification, (4) in-depth investigation of specific cell types; and (5) differential analysis of cell abundance and functional marker expression across study groups. Overall, ImmCellTyper combines expert biological knowledge in a semi-supervised approach to accurately deconvolute well-defined main cell lineages, while maintaining the potential of unsupervised methods to discover novel cell subsets, thus facilitating high-dimensional immune profiling.

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.

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.

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.

Comprehensive mapping of immune perturbations associated with aplastic anemia.

BACKGROUND: Aplastic anemia (AA) is an immune-mediated syndrome characterized by bone marrow failure. Therefore, comprehending the cellular profile and cell interactions in affected patients is crucial. METHODS: Human peripheral blood mononuclear cells (PBMCs) were collected from both healthy donors (HDs) and AA patients, and analyzed using multicolor flow cytometry. Utilizing the FlowSOM and t-SNE dimensionality reduction technique, we systematically explored and visualized the major immune cell alterations in AA. This analysis provided a foundation to further investigate the subtypes of cells exhibiting significant changes. RESULTS: Compared to HDs, peripheral blood from patients with AA exhibits a marked reduction in CD56Dim natural killer (NK) cells, which also show diminished functionality. Conversely, an increase in NK-like CD56+ monocytes, which possess compromised functionality. Along with a significant reduction in myeloid-derived suppressor cells (MDSCs), which show recovery post-treatment. Additionally, MDSCs serve as effective clinical markers for distinguishing between acquired aplastic anemia (AAA) and congenital aplastic anemia (CAA). Our comprehensive analysis of correlations among distinct immune cell types revealed significant associations between NKBri cells and CD8+ T cell subsets, as well as between NKDim cells and CD4+ T cells, these results highlight the intricate interactions and correlations within the immune cell network in AA. CONCLUSION: Our study systematically elucidates the pronounced immune dysregulation in patients with AA. The detailed mapping of the immune landscape not only provides crucial insights for basic research but also holds promise for enhancing the accuracy of diagnoses and the effectiveness of timely therapeutic interventions in clinical practice. Consequently, this could potentially reduce the high mortality rate associated with AA.

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.

Autofluorescent Cancer Stem Cells: Potential Biomarker to Predict Recurrence in Resected Colorectal Tumors.

Cancer stem cells (CSC) in colorectal cancer drive intratumoral heterogeneity and distant metastases. Previous research from our group showed that CSCs can be easily detected by autofluorescence (AF). The aim of the present study was to evaluate the potential role of AF CSCs as a prognostic biomarker for colorectal cancer relapse. Seventy-five freshly resected tumors were analyzed by flow cytometry. AF was categorized as high (H-AF) or low, and the results were correlated with histologic features [grade of differentiation, presence of metastases in lymph nodes (LN), perivascular and lymphovascular invasion] and clinical variables (time to relapse and overall survival). Nineteen of the 75 (25.3%) patients experienced relapse (local or distant); of these 19 patients, 13 showed positive LNs and 6 had H-AF. Of note, four of them died before 5 years. Although patients with H-AF CSC percentages in the global population experienced 1.5 times increased relapse [HR, 1.47; 95% confidence interval (0.60-3.63)], patients with H-AF CSC percentages and LN metastases had the highest risk of relapse [HR, 7.92; P < 0.004; 95% confidence interval (1.97-31.82)]. These data support AF as an accurate and feasible marker to identify CSCs in resected colorectal cancer. A strong statistical association between H-AF CSCs and the risk of relapse was observed, particularly in patients with positive LNs, suggesting that H-AF patients might benefit from adjuvant chemotherapy regimens and intensive surveillance due to their high propensity to experience disease recurrence. Significance: AF has been proven to be an accurate biomarker for CSC identification; however, to date, their role as a prognostic factor after resection of colorectal cancer tumors has not been investigated. Our results show that determining the presence of AF CSCs after tumor resection has prognostic value and represents a potentially important tool for the management of patients with colorectal cancer.

Spectral Algal Fingerprinting and Long Sequencing in Synthetic Algal-Microbial Communities.

Synthetic biology has advanced in creating artificial microbial and algal communities, but technical and evolutionary complexities still pose significant challenges. Traditional methods, like microscopy and pigment analysis, are limited in throughput and resolution. In contrast, advancements in full-spectrum cytometry enabled high-throughput, multidimensional analysis of single cells based on size, complexity, and spectral fingerprints, offering more precision and flexibility than conventional flow cytometry. This study uses full-spectrum cytometry to analyze synthetic algal-microbial communities, enabling rapid species identification and enumeration. The workflow involves recording individual spectral signatures from monocultures, using autofluorescence to capture populations of interest, and creating a spectral library for further analysis. This spectral library was used for the analysis of the synthetic phytoplankton communities, revealing differences in spectral signatures. Moreover, the synthetic consortium experiment monitored algal growth, comparing results from different instruments, highlighting the advantages of the spectral virtual filter system for precise population separation and abundance tracking. By capturing the entire emission spectrum of each cell, this method enhances understanding of algal-microbial community dynamics and responses to environmental stressors. The development of standardized spectral libraries would improve the characterization of algal communities, further advancing synthetic biology and phytoplankton ecology research.