Fluorescent cell barcoding in flow cytometry allows high-throughput drug screening and signaling profiling

Web-based analysis and publication of flow cytometry experiments

Cytobank is a Web-based application for storage, analysis, and sharing of flow cytometry experiments. Researchers use a Web browser to log in and use a wide range of tools developed for basic and advanced flow cytometry. In addition to providing access to standard cytometry tools from any computer, Cytobank creates a platform and community for developing new analysis and publication tools. Figure layouts created on Cytobank are designed to allow transparent access to the underlying experiment annotation and data processing steps. Since all flow cytometry files and analysis data are stored on a central server, experiments and figures can be viewed or edited by anyone with the proper permission, from any computer with Internet access. Once a primary researcher has performed the initial analysis of the data, collaborators can engage in experiment analysis and make their own figure layouts using the gated, compensated experiment files. Cytobank is available to the scientific community at http://www.cytobank.org.

Modulation of cell signaling networks after CTLA4 blockade in patients with metastatic melanoma

Background

The effects on cell signalling networks upon blockade of cytotoxic T lymphocyte-associated antigen-4 (CTLA4) using the monoclonal antibody tremelimumab were studied in peripheral blood mononuclear cell (PBMC) samples from patients with metastatic melanoma.

Methodology/Principal

Findings Intracellular flow cytometry was used to detect phosphorylated (p) signaling molecules downstream of the T cell receptor (TCR) and cytokine receptors. PBMC from tremelimumab-treated patients were characterized by increase in pp38, pSTAT1 and pSTAT3, and decrease in pLck, pERK1/2 and pSTAT5 levels. These changes were noted in CD4 and CD8 T lymphocytes but also in CD14 monocytes. A divergent pattern of phosphorylation of Zap70, LAT, Akt and STAT6 was noted in patients with or without an objective tumor response.

Conclusions/Significance

The administration of the CTLA4-blocking antibody tremelimumab to patients with metastatic melanoma influences signaling networks downstream of the TCR and cytokine receptors both in T cells and monocytes. The strong modulation of signaling networks in monocytes suggests that this cell subset may be involved in clinical responses to CTLA4 blockade.

Clinical Trial Registration

clinicaltrials.gov; Registration numbers NCT00090896 and NCT00471887

Development and application of 'phosphoflow' as a tool for immunomonitoring

Flow cytometry has revolutionized our ability to monitor immune responses by allowing us to simultaneously track a variety of cell surface and intracellular markers in discrete cell subsets in a highly sensitive and reproducible manner. This is especially critical in this new era of vaccinology trying to tackle the growing problems of chronic viral infections and cancer that not only evade host immune responses, but can negatively manipulate vaccine-induced immune responses. Thus, understanding how lymphocyte signaling is altered under normal and pathological conditions has become more critical. Over the last decade, a new flow cytometry technology called 'phosphoflow' (also sometimes called 'phosflow'), is rapidly developing for tracking multiple intracellular signaling molecules in the immune system at a single-cell level. Antibodies and reagents for tracking both tyrosine-phosphorylated and serine/threonine-phosphorylated signaling intermediaries in key immune signaling pathways have been developed, and phosphoflow is now starting to be applied to a wide variety of both preclinical and clinical studies on lymphocyte responses, as well as the functioning of cancer cells and virally infected cells. Here, we review the development of phosphoflow technology, its modern applications in the field of immunomonitoring and its current limitations. We then provide a perspective on the future of phosphoflow and a vision of how it can be applied to emerging critical questions in human vaccinology and public health.

A microfluidic platform for systems pathology: multiparameter single-cell signaling measurements of clinical brain tumor specimens

The clinical practice of oncology is being transformed by molecular diagnostics that will enable predictive and personalized medicine. Current technologies for quantitation of the cancer proteome are either qualitative (e.g., immunohistochemistry) or require large sample sizes (e.g., flow cytometry). Here, we report a microfluidic platform-microfluidic image cytometry (MIC)-capable of quantitative, single-cell proteomic analysis of multiple signaling molecules using only 1,000 to 2,800 cells. Using cultured cell lines, we show simultaneous measurement of four critical signaling proteins (EGFR, PTEN, phospho-Akt, and phospho-S6) within the oncogenic phosphoinositide 3-kinase (PI3K)/Akt/mammalian target of rapamycin (mTOR) signaling pathway. To show the clinical application of the MIC platform to solid tumors, we analyzed a panel of 19 human brain tumor biopsies, including glioblastomas. Our MIC measurements were validated by clinical immunohistochemistry and confirmed the striking intertumoral and intratumoral heterogeneity characteristic of glioblastoma. To interpret the multiparameter, single-cell MIC measurements, we adapted bioinformatic methods including self-organizing maps that stratify patients into clusters that predict tumor progression and patient survival. Together with bioinformatic analysis, the MIC platform represents a robust, enabling in vitro molecular diagnostic technology for systems pathology analysis and personalized medicine.

Targeting breast cancer stem cells

The cancer stem cell (CSC) hypothesis postulates that tumors are maintained by a self-renewing CSC population that is also capable of differentiating into non-self-renewing cell populations that constitute the bulk of the tumor. Although, the CSC hypothesis does not directly address the cell of origin of cancer, it is postulated that tissue-resident stem or progenitor cells are the most common targets of transformation. Clinically, CSCs are predicted to mediate tumor recurrence after chemo- and radiation-therapy due to the relative inability of these modalities to effectively target CSCs. If this is the case, then CSC must be efficiently targeted to achieve a true cure. Similarities between normal and malignant stem cells, at the levels of cell-surface proteins, molecular pathways, cell cycle quiescence, and microRNA signaling present challenges in developing CSC-specific therapeutics. Approaches to targeting CSCs include the development of agents targeting known stem cell regulatory pathways as well as unbiased high-throughput siRNA or small molecule screening. Based on studies of pathways present in normal stem cells, recent work has identified potential "Achilles heals" of CSC, whereas unbiased screening provides opportunities to identify new pathways utilized by CSC as well as develop potential therapeutic agents. Here, we review both approaches and their potential to effectively target breast CSC.

High-resolution mapping of prostaglandin E2-dependent signaling networks identifies a constitutively active PKA signaling node in CD8+CD45RO+ T cells

To analyze prostaglandin E(2) (PGE(2)) signaling in lymphoid cells, we introduce a multipronged strategy, combining temporal quantitative phosphoproteomics and phospho flow cytometry. We describe the PGE(2)-induced phosphoproteome by simultaneous monitoring of approximately 250 regulated phospho-epitopes, which, according to kinase prediction algorithms, originate from a limited number of kinase networks. Assessing these signaling pathways by phospho flow cytometry provided higher temporal resolution at various PGE(2) concentrations in multiple lymphoid cell subsets. This showed elevated levels of protein kinase A (PKA) signaling in unstimulated CD8(+)CD45RO(+) T cells, which correlated with suppressed proximal T-cell receptor signaling, indicating that PKA sets the threshold for activation. The combination of phosphoproteomics and high throughput phospho flow cytometry applied here provides a comprehensive generic framework for the analysis of signaling networks in mixed cell populations.

Dynamic single-cell network profiles in acute myelogenous leukemia are associated with patient response to standard induction therapy

PURPOSE

Complete response to induction chemotherapy is observed in approximately 60% of patients with newly diagnosed non-M3 acute myelogenous leukemia (AML). However, no methods exist to predict with high accuracy at the individual patient level the response to standard AML induction therapy.

EXPERIMENTAL DESIGN

We applied single-cell network profiling (SCNP) using flow cytometry, a tool that allows a comprehensive functional assessment of intracellular signaling pathways in heterogeneous tissues, to two training cohorts of AML samples (n = 34 and 88) to predict the likelihood of response to induction chemotherapy.

RESULTS

In the first study, univariate analysis identified multiple signaling "nodes" (readouts of modulated intracellular signaling proteins) that correlated with response (i.e., AUC(ROC) > or = 0.66; P < or = 0.05) at a level greater than age. After accounting for age, similar findings were observed in the second study. For patients <60 years old, complete response was associated with the presence of intact apoptotic pathways. In patients > or =60 years old, nonresponse was associated with FLT3 ligand-mediated increase in phosphorylated Akt and phosphorylated extracellular signal-regulated kinase. Results were independent of cytogenetics, FLT3 mutational status, and diagnosis of secondary AML.

CONCLUSIONS

These data emphasize the value of performing quantitative SCNP under modulated conditions as a basis for the development of tests highly predictive for response to induction chemotherapy. SCNP provides information distinct from other known prognostic factors such as age, secondary AML, cytogenetics, and molecular alterations and is potentially combinable with the latter to improve clinical decision making. Independent validation studies are warranted.

Messenger RNA quantification after fluorescence activated cell sorting using intracellular antigens

Recent studies using stem cells or cancer stem cells have revealed the importance of detecting minor populations of cells in blood or tissue and analyzing their biological characteristics. The only possible method for carrying out such procedures is fluorescence activated cell sorting (FACS). However, FACS has the following limitations. First, cells without an appropriate cell surface marker cannot be sorted. Second, the cells have to be kept alive during the sorting process in order to analyze their biological characteristics. If an intracellular antigen that was specific to a particular cell type could be stained with a florescent dye and then the cells can be sorted without causing RNA degradation, a more simple and universal method for sorting and analyzing cells with a specific gene expression pattern could be established since the biological characteristics of the sorted cells could then be determined by analyzing their gene expression profile. In this study, we established a basic protocol for messenger RNA quantification after FACS (FACS-mQ) targeting intracellular antigens. This method can be used for the detection and analysis of stem cells or cancer stem cells in various tissues.

Miniaturization of biological assays -- overview on microwell devices for single-cell analyses

BACKGROUND

Today, cells are commonly analyzed in ensembles, i.e. thousands of cells per sample, yielding results on the average response of the cells. However, cellular heterogeneity implies the importance of studying how individual cells respond, one by one, in order to learn more about drug targeting and cellular behavior.

SCOPE OF REVIEW

This review discusses general aspects on miniaturization of biological assays and in particular summarizes single-cell assays in microwell formats. A range of microwell-based chips are discussed with regard to their well characteristics, cell handling, choice of material etc. along with available detection systems for single-cell studies. History and trends in microsystem technology, various commonly used materials for device fabrication, and conventional methods for single-cell analysis are also discussed, before a closing section with a detailed example from our research in the field.

MAJOR CONCLUSIONS

A range of miniaturized and microwell devices have shown useful for studying individual cells.

GENERAL SIGNIFICANCE

In vitro assays offering low volume sampling and rapid analysis in a high-throughput manner are of great interest in a wide range of single-cell applications. Size compatibility between a cell and micron-sized tools has encouraged the field of micro- and nanotechnologies to move into areas such as life sciences and molecular biology. To test as many compounds as possible against a given amount of patient sample requires miniaturized tools where low volume sampling is sufficient for accurate results and on which a high number of experiments per cm(2) can be performed. This article is part of a Special Issue entitled Nanotechnologies - Emerging Applications in Biomedicine.

PI3K p110delta regulates T-cell cytokine production during primary and secondary immune responses in mice and humans

We have previously described critical and nonredundant roles for the phosphoinositide 3-kinase p110delta during the activation and differentiation of naive T cells, and p110delta inhibitors are currently being developed for clinical use. However, to effectively treat established inflammatory or autoimmune diseases, it is important to be able to inhibit previously activated or memory T cells. In this study, using the isoform-selective inhibitor IC87114, we show that sustained p110delta activity is required for interferon-gamma production. Moreover, acute inhibition of p110delta inhibits cytokine production and reduces hypersensitivity responses in mice. Whether p110delta played a similar role in human T cells was unknown. Here we show that IC87114 potently blocked T-cell receptor-induced phosphoinositide 3-kinase signaling by both naive and effector/memory human T cells. Importantly, IC87114 reduced cytokine production by memory T cells from healthy and allergic donors and from inflammatory arthritis patients. These studies establish that previously activated memory T cells are at least as sensitive to p110delta inhibition as naive T cells and show that mouse models accurately predict p110delta function in human T cells. There is therefore a strong rationale for p110delta inhibitors to be considered for therapeutic use in T-cell-mediated autoimmune and inflammatory diseases.

Monitoring of the immunomodulatory effect of CP-690,550 by analysis of the JAK/STAT pathway in kidney transplant patients

BACKGROUND.: The small molecule drug CP-690,550 inhibits Janus kinase 3 at nanomolar concentrations and has recently been shown to prevent allograft rejection in rodents and nonhuman primates. METHODS.: As part of a phase 1 clinical trial, we investigated the effect of CP-690,550 after 29 days of 30 mg twice daily treatment at the cellular level in eight kidney transplant patients by studying ex vivo phosphorylation of STAT5 (P-STAT5), the key substrate of JAK3. RESULTS.: As determined by quantitative fluorescent western blotting, interleukin-2-induced P-STAT5 in YT cells was reduced by a median of 73% (P<0.01) in the presence of serum collected on day 29 compared with pretreatment baseline. When evaluated by phosphospecific flow cytometry, CP-690,550 also reduced interleukin-2-induced P-STAT5 in CD3 (median 20%; P<0.05), CD3CD4 (median 37%; P<0.05), and CD3CD8 (median 34%; P<0.01) populations in patient-derived peripheral blood mononuclear cells. At the functional level, the inhibitory effect of CP-690,550 was confirmed by determining the expression of several STAT5 targets genes. CONCLUSION.: Analysis of P-STAT5 may, therefore, be used to determine the immunomodulatory effect of CP-690,550 at the cellular level in transplant patients.

A software framework enabling analysis of plate-based flow cytometry data for high-throughput screening

Flow cytometry (FCM) is an important technology with a broad spectrum of applications ranging from basic research to clinical diagnostics. In a typical FCM experiment, thousands of cells are queried with respect to size, shape, and abundance of multiple cell surface antigens. Recent advances in FCM techniques and instrumentation have enabled researchers to raise the throughput of experimentation dramatically. However, data analysis has remained a time-consuming activity requiring significant manual intervention for gating as well as for overall data reduction and interpretation. Presented in this article is a novel, algorithmically flexible, internally developed, software framework for the analysis of plate-based FCM data for high-throughput screening (HTS). Utilizing a post-treatment pooling strategy, >87,000 individual wells representing over 240,000 compounds were automatically gated, percent of control (POC) calculated, results assembled, deconvolved, and sorted, allowing researchers to visually assess wells of interest in minutes.

Integrated analysis of receptor activation and downstream signaling with EXTassays

The ability to measure multiple cellular signaling events is essential to better understand the underlying complex biological processes that occur in living cells. Microarray-based technologies are now commonly used to study changes in transcription. This information, however, is not sufficient to understand the regulatory mechanisms that lead to gene expression changes. Here we present an approach to monitor signaling events upstream of gene expression. We coupled different reporter gene assays to unique expressed oligonucleotide tags (EXTs) that serve as identifiers and quantitative reporters. Multiple EXT reporters can be isolated as a pool and analyzed by hybridization to microarrays. To test the feasibility of our approach, we integrated complementation assays based on a protease from tobacco etch virus (TEV protease) and transcription factor activity profiling. Thereby, we simultaneously monitored Neuregulin-dependent mouse ErbB receptor tyrosine kinase dimerization, effector recruitment and downstream signaling.

Multiplexed staining of live human embryonic stem cells for flow cytometric analysis of pluripotency markers

Use of flow cytometry to detect pluripotency markers on or in human embryonic stem cells (hESCs) is a powerful analytical tool. However, current staining methodologies for high-content analysis of large numbers of samples utilize large quantities of primary and secondary antibodies, are time consuming, and may suffer from sample-to-sample variability. To circumvent these issues, we have developed a reproducible, quick, and cost-effective method of staining 12 populations of hESCs grown under different conditions by labeling each with a unique optical signature (UOS). The UOS for each population is achieved by combining different combinations and concentrations of 3 esterase activated, live cell, fluorescent indicators. The individually stained populations are then combined and an aliquot of the hESC samples stained for pluripotency or other markers of interest in the far-red region of the spectrum. Based on the unique fluorescent intensity and emission wavelengths of each population, the characteristics of each population are decoded in software after flow cytometric analysis. We have validated both our staining procedure and decoding methods by mixing populations of differentiated and undifferentiated hESCs and successfully quantifying differences in the pluripotency markers SSEA-4, Tra-1-60, GCTM2, and CD9 between the 12 different populations. Our multiplexing approach allows for the addition of internal controls and reduces sample-to-sample variation, while offering a significant reduction in time and reagent consumption. We anticipate that this method will be of great benefit to laboratories conducting high-content flow cytometric analysis of hESCs.

Fibrocyte activation in rheumatoid arthritis

OBJECTIVES

RA is a common, relapsing autoimmune disease primarily affecting the joints. Fibroblast-like synovial (FLS) cells are thought to be responsible for pannus formation and secretion of factors that recruit leucocytes to affected joints, thereby promoting bone and cartilage destruction. Fibrocytes are multipotent circulating stem cells that may have a role in RA pathogenesis, perhaps as the precursors of the FLS cells, or by regulating FLS cell function.

METHODS

We utilized multidimensional phospho-specific flow cytometry to characterize the activation status of peripheral blood (PB) fibrocytes derived from human RA patients at different stages of disease and from mice with CIA.

RESULTS

Human PB fibrocytes from RA patients exhibited phosporylation activation of the p44/42 and p38 MAP kinases (MAPKs), and STAT3 (signal transducer and activator of transcription) and STAT-5 early in disease, within the first year of diagnosis. Similarly, in murine CIA, an increase in the total number of PB phosphoSTAT5-positive fibrocytes was observed at early time points in disease. Notably, in the affected paws of mice with CIA, we identified an increased number of fibrocytes, in contrast to the paws of control mice.

CONCLUSIONS

These data suggest that activated fibrocytes may influence the disease process in RA and may serve as surrogate markers for disease in the PB of affected patients.

Connecting synthetic chemistry decisions to cell and genome biology using small-molecule phenotypic profiling

Discovering small-molecule modulators for thousands of gene products requires multiple stages of biological testing, specificity evaluation, and chemical optimization. Many cellular profiling methods, including cellular sensitivity, gene expression, and cellular imaging, have emerged as methods to assess the functional consequences of biological perturbations. Cellular profiling methods applied to small-molecule science provide opportunities to use complex phenotypic information to prioritize and optimize small-molecule structures simultaneously against multiple biological endpoints. As throughput increases and cost decreases for such technologies, we see an emerging paradigm of using more information earlier in probe-discovery and drug-discovery efforts. Moreover, increasing access to public datasets makes possible the construction of 'virtual' profiles of small-molecule performance, even when multiplexed measurements were not performed or when multidimensional profiling was not the original intent. We review some key conceptual advances in small-molecule phenotypic profiling, emphasizing connections to other information, such as protein-binding measurements, genetic perturbations, and cell states. We argue that to maximally leverage these measurements in probe-discovery and drug-discovery requires a fundamental connection to synthetic chemistry, allowing the consequences of synthetic decisions to be described in terms of changes in small-molecule profiles. Mining such data in the context of chemical structure and synthesis strategies can inform decisions about chemistry procurement and library development, leading to optimal small-molecule screening collections.

Studies of cell-mediated immune responses to influenza vaccination in systemic lupus erythematosus

OBJECTIVE

Both antibody and cell-mediated responses are involved in the defense against influenza. In patients with systemic lupus erythematosus (SLE), a decreased antibody response to subunit influenza vaccine has been demonstrated, but cell-mediated responses have not yet been assessed. This study was therefore undertaken to assess cell-mediated responses to influenza vaccination in patients with SLE.

METHODS

Fifty-four patients with SLE and 54 healthy control subjects received subunit influenza vaccine. Peripheral blood mononuclear cells and sera were obtained before and 1 month after vaccination. Cell-mediated responses to A/H1N1 and A/H3N2 vaccines were evaluated using an interferon-gamma (IFNgamma) enzyme-linked immunospot assay and flow cytometry. Antibody responses were measured using a hemagglutination inhibition test.

RESULTS

Prior to vaccination, patients with SLE had fewer IFNgamma spot-forming cells against A/H1N1 compared with control subjects and a lower frequency of IFNgamma-positive CD8+ T cells. After vaccination, the number of IFNgamma spot-forming cells increased in both patients and control subjects, although the number remained lower in patients. In addition, the frequencies of CD4+ T cells producing tumor necrosis factor and interleukin-2 were lower in patients after vaccination compared with healthy control subjects. As expected for a subunit vaccine, vaccination did not induce a CD8+ T cell response. For A/H3N2-specific responses, results were comparable. Diminished cell-mediated responses to influenza vaccination were associated with the use of prednisone and/or azathioprine. The increase in A/H1N1-specific and A/H3N2-specific antibody titers after vaccination was lower in patients compared with control subjects.

CONCLUSION

In addition to a decreased antibody response, cell-mediated responses to influenza vaccination are diminished in patients with SLE, which may reflect the effects of the concomitant use of immunosuppressive drugs. This may render these patients more susceptible to (complicated) influenza infections.

Identification of the amino acid sequence that targets peroxiredoxin 6 to lysosome-like structures of lung epithelial cells

Peroxiredoxin 6 (Prdx6), an enzyme with glutathione peroxidase and PLA2 (aiPLA2) activities, is highly expressed in respiratory epithelium, where it participates in phospholipid turnover and antioxidant defense. Prdx6 has been localized by immunocytochemistry and subcellular fractionation to acidic organelles (lung lamellar bodies and lysosomes) and cytosol. On the basis of their pH optima, we have postulated that protein subcellular localization determines the balance between the two activities of Prdx6. Using green fluorescent protein-labeled protein expression in alveolar epithelial cell lines, we showed Prdx6 localization to organellar structures resembling lamellar bodies in mouse lung epithelial (MLE-12) cells and lysosomes in A549 cells. Localization within lamellar bodies/lysosomes was in the luminal compartment. Targeting to lysosome-like organelles was abolished by the deletion of amino acids 31-40 from the Prdx6 NH2-terminal region; deletion of the COOH-terminal region had no effect. A green fluorescent protein-labeled peptide containing only amino acids 31-40 showed lysosomal targeting that was abolished by mutation of S32 or G34 within the peptide. Studies with mutated protein indicated that lipid binding was not necessary for Prdx6 targeting. This peptide sequence has no homology to known organellar targeting motifs. These studies indicate that the localization of Prdx6 in acidic organelles and consequent PLA2 activity depend on a novel 10-aa peptide located at positions 31-40 of the protein.

Multiparameter phospho-flow analysis of lymphocytes in early rheumatoid arthritis: implications for diagnosis and monitoring drug therapy

Background

The precise mechanisms involved in the initiation and progression of rheumatoid arthritis (RA) are not known. Early stages of RA often have non-specific symptoms, delaying diagnosis and therapy. Additionally, there are currently no established means to predict clinical responsiveness to therapy. Immune cell activation is a critical component therefore we examined the cellular activation of peripheral blood mononuclear cells (PBMCs) in the early stages of RA, in order to develop a novel diagnostic modality.

Methods and Findings

PBMCs were isolated from individuals diagnosed with early RA (ERA) (n = 38), longstanding RA (n = 10), osteoarthritis (OA) (n = 19) and from healthy individuals (n = 10). PBMCs were examined for activation of 15 signaling effectors, using phosphorylation status as a measure of activation in immunophenotyped cells, by flow cytometry (phospho-flow). CD3+CD4+, CD3+CD8+ and CD20+ cells isolated from patients with ERA, RA and OA exhibited activation of multiple phospho-epitopes. ERA patient PBMCs showed a bias towards phosphorylation-activation in the CD4+ and CD20+ compartments compared to OA PBMCs, where phospho-activation was primarily observed in CD8+ cells. The ratio of phospho (p)-AKT/p-p38 was significantly elevated in patients with ERA and may have diagnostic potential. The mean fluorescent intensity (MFI) levels for p-AKT and p-H3 in CD4+, CD8+ and CD20+ T cells correlated directly with physician global assessment scores (MDGA) and DAS (disease activity score). Stratification by medications revealed that patients receiving leflunomide, systemic steroids or anti-TNF therapy had significant reductions in phospho-specific activation compared with patients not receiving these therapies. Correlative trends between medication-associated reductions in the levels of phosphorylation of specific signaling effectors and lower disease activity were observed.

Conclusions

Phospho-flow analysis identified phosphorylation-activation of specific signaling effectors in the PB from patients with ERA. Notably, phosphorylation of these signaling effectors did not distinguish ERA from late RA, suggesting that the activation status of discrete cell populations is already established early in disease. However, when the ratio of MFI values for p-AKT and p-p38 is >1.5, there is a high likelihood of having a diagnosis of RA. Our results suggest that longitudinal sampling of patients undergoing therapy may result in phospho-signatures that are predictive of drug responsiveness.

Multi-parameter phenotypic profiling: using cellular effects to characterize small-molecule compounds

Multi-parameter phenotypic profiling of small molecules provides important insights into their mechanisms of action, as well as a systems level understanding of biological pathways and their responses to small molecule treatments. It therefore deserves more attention at an early step in the drug discovery pipeline. Here, we summarize the technologies that are currently in use for phenotypic profiling--including mRNA-, protein- and imaging-based multi-parameter profiling--in the drug discovery context. We think that an earlier integration of phenotypic profiling technologies, combined with effective experimental and in silico target identification approaches, can improve success rates of lead selection and optimization in the drug discovery process.

Duplex high-throughput flow cytometry screen identifies two novel formylpeptide receptor family probes

Of recent, clinical interest have been two related human G-protein coupled receptors: formylpeptide receptor (FPR), linked to antibacterial inflammation and malignant glioma cell metastasis; and FPR like-1 (FPRL1), linked to chronic inflammation in systemic amyloidosis, Alzheimer's disease, and prion diseases. In association with the National Institutes of Health (NIH) Molecular Library Screening Network, we implemented a flow-cytometry-based high-throughput screening (HTS) approach for identifying selective small molecule FPR and FPRL1 ligands. The screening assay measured the ability of test compounds to competitively displace a high-affinity, fluorescein- labeled peptide ligand from FPR, FPRL1, or both. U937 cells expressing FPR and rat basophil leukemia (RBL) cells expressing FPRL1 were tested together in a "duplex" format. The U937 cells were color coded with red-fluorescent dye allowing their distinction during analysis. Compounds, cells, and fluorescent ligand were sequentially combined (no wash) in 15 microl assay volumes in 384-well plates. Throughput averaged approximately 11 min per plate to analyze approximately 4,000 cells ( approximately 2,000/receptor) in a 2 microl aspirate from each well. In primary single concentration HTS of 24,304 NIH Small Molecule Repository compounds, 253 resulted in inhibition >30% (181 for FPR, 72 for FPRL1) of which 40 had selective binding inhibition constants (K(i)) < or = 4 microM (34 for FPR and 6 for FPRL1). An additional 1,446 candidate compounds were selected by structure-activity-relationship analysis of the hits and screened to identify novel ligands for FPR (3570-0208, K(i) = 95 +/- 10 nM) and FPRL1 (BB-V-115, K(i) = 270 +/- 51 nM). Each was a selective antagonist in calcium response assays and the most potent small molecule antagonist reported for its respective receptor to date. The duplex assay format reduced assay time, minimized reagent requirements, and provided selectivity information at every screening stage, thus proving to be an efficient means to screen for selective receptor ligand probes.

Multiplexing of pathway-specific beta-lactamase reporter gene assays by optical coding with Qtracker nanocrystals

Reporter assays are widely used in research and drug discovery for analysis of signaling pathways in a cell-based format. Traditionally, reporter gene assays are run in a single-parameter mode, interrogating only 1 pathway per sample. To enable more complex assay formats for pathway analysis, the authors developed a multiplexed reporter cell-based assay that combines optical encoding with a beta-lactamase reporter gene readout. The optical encoding is achieved by peptide-mediated delivery of quantum dots into reporter cell lines. Using different quantum dots, the authors were able to simultaneously analyze multiple signaling pathways in the same sample using fluorescence microscopy or flow cytometry. They selected 3 beta-lactamase reporter cell lines for the analysis of tumor necrosis factor alpha (TNF-alpha), interleukin 6 (IL-6), and interferon gamma (IFN-gamma) induced signaling to perform proof-of-principle experiments. The analysis demonstrates that this multiplexed assay allows the reliable detection of ligand-specific activation patterns as well as pathway-specific inhibitors. This method provides a template for the development of novel assay designs that enable the analysis of complex signaling networks involving multiple signaling pathways as well as cell-specific pathways in heterotypic cell models.

WebFlow: a software package for high-throughput analysis of flow cytometry data

Flow cytometry has emerged as a powerful tool for quantitative, single-cell analysis of both surface markers and intracellular antigens, including phosphoproteins and kinase signaling cascades, with the flexibility to process hundreds of samples in multiwell plate format. Quantitative flow cytometric analysis is being applied in many areas of biology, from the study of immunology in animal models or human patients to high-content drug screening of pharmacologically active compounds. However, these experiments generate thousands of data points per sample, each with multiple measured parameters, leading to data management and analysis challenges. We developed WebFlow (http://webflow.stanford.edu), a web server-based software package to manage, analyze, and visualize data from flow cytometry experiments. WebFlow is accessible via standard web browsers and does not require users to install software on their personal computers. The software enables plate-based annotation of large data sets, which provides the basis for exploratory data analysis tools and rapid visualization of multiple different parameters. These tools include custom user-defined statistics to normalize data to other wells or other channels, as well as interactive, user-selectable heat maps for viewing the underlying single-cell data. The web-based approach of WebFlow allows for sharing of data with collaborators or the general public. WebFlow provides a novel platform for quantitative analysis of flow cytometric data from high-throughput drug screening or disease profiling experiments.

Antiviral-activated dendritic cells: a paracrine-induced response state

Infection of immature dendritic cells (DCs) by virus stimulates their maturation into APC. Infected DCs can also expose uninfected DCs to a panoply of cytokines/chemokines via paracrine signaling. Mathematical modeling suggests that a high rate of paracrine signaling is likely to occur among DCs located in three-dimensional space. Relatively little is known about how secreted factors modify the early response to virus infection. We used a transwell experimental system that allows passage of secreted factors, but not direct contact, between virus-infected DCs and uninfected DCs to investigate paracrine signaling responses. Paracrine signaling from infected DCs induced an antiviral-primed DC state distinct from that of mature virus-infected DCs that we refer to as antiviral-activated DCs (AVDCs). AVDCs had increased surface MHC class II and CD86 levels, but in contrast to virus-infected DCs, their MHC class I levels were unchanged. Imaging flow cytometry showed that AVDCs had an increased rate of phagocytosis compared with naive DCs. Experiments with IFN-beta cytokine indicated that it may be responsible for CD86, but not MHC class II regulation in AVDCs. Both IFN-inducible and IFN-independent genes are up-regulated in AVDCs. Notably, AVDCs are relatively resistant to virus infection in comparison to naive DCs and achieve accelerated and augmented levels of costimulatory molecule expression with virus infection. AVDCs show a distinct antiviral-primed state of DC maturation mediated by DC paracrine signaling. Although further in vivo study is needed, the characteristics of the AVDC suggest that it is well suited to play a role in the early innate-adaptive transition of the immune system.

Monitoring of FLT3 phosphorylation status and its response to drugs by flow cytometry in AML blast cells

FLT3 mutation and overexpression in most acute myeloid leukaemia (AML) patients make this tyrosine kinase receptor an attractive therapeutic target. FLT3 kinase inhibitors are actually in clinical trials, thus it is critical to develop a reproducible and standardized method for screening of FLT3 activation and for monitoring its inhibition in response to drug in AML patients. We developed a flow cytometry method to analyse phosphorylated FLT3 (P-FLT3) in samples with <10(5) cells. The method was first validated in FLT3 wild-type (HL60/WT) and mutant (MV4-11/ITD(+)) as well as FLT3 negative (K562) cell lines. The method also proved to be reproducible in AML patient samples. Analysis was performed after exposure to drugs (CEP-701 and SU11657), in vitro and in vivo. In response to increasing drug concentrations, there was a linear reduction in P-FLT3. Intracellular flow cytometry analysis correlated with Western blot and XTT assays; flow cytometry data also correlated with FLT3 mutational status. The results highlight a rapid method to detect P-FLT3 protein at the single cell level by flow cytometry which enables an accurate assessment of FLT3 kinase activity in blast cells in response to novel tyrosine kinase inhibitors.

Evaluating therapeutic efficacy against cancer stem cells: new challenges posed by a new paradigm

Current measures of anticancer drug efficacy reflect bulk cell killing and are poorly suited to detect activity against cancer stem cells (CSCs), which sustain tumor growth. The CSC paradigm necessitates a reexamination of methodologies used to evaluate clinical efficacy of anticancer therapies, as well as strategies employed during preclinical drug development.

Single-cell phospho-protein analysis by flow cytometry

This protocol describes methods for monitoring intracellular phosphorylation-dependent signaling events on a single-cell basis. This approach measures cell signaling by treating cells with exogenous stimuli, fixing cells with formaldehyde, permeabilizing with methanol, and then staining with phospho-specific antibodies. Thus, cell signaling states can be determined as a measure of how cells interact with their environment. This method has applications in clinical research as well as mechanistic studies of basic biology. In clinical research, diagnostic or drug efficacy information can be retrieved by discovering how a disease affects the ability of cells to respond to growth factors. Basic scientists can use this technique to analyze signaling events in cell lines and human or murine primary cells, including rare populations, like B1 cells or stem cells. This technique has broad applications to take standard biochemical analysis into primary cells to garner valuable information about signaling events in physiologic settings.

PTEN in brain tumors

The tumor suppressor PTEN dephosphorylates phospholipids generated through the activity of PI3K. PTEN thus antagonizes PI3K activity and regulates a multitude of cellular processes such as angiogenesis, motility, invasiveness, survival and proliferation, all of which can initiate and sustain the malignant phenotype. Although PTEN's lipid phosphatase activity is key to its tumor suppressive functions, it also dephosphorylates protein substrates and interacts with other key regulatory molecules, salient among them the tumor suppressor p53. Given the critical roles of PTEN in cellular homeostasis, it is not surprising that both PTEN expression levels and PTEN protein activities are tightly controlled by a complex conglomeration of molecules that regulate post-translational modifications, subcellular localization, transcriptional activation and transcriptional repression. As one of the most commonly altered molecules in human disease, PTEN plays an important role in a myriad of signaling cascades, and plays a central role in normal brain development and brain tumor pathogenesis. As such it influences prognosis of human cancer, predicts response to therapy, constitutes the lynchpin of genetic syndromes, and may underlie neurocognitive abnormalities such as autism spectrum disorders and Alzheimer's disease. Thus, targeting PTEN and its signaling affiliates sows the seeds for combating not only cancer but also neurocognitive disorders.

Simplified cytometry for routine monitoring of infectious diseases

The interacting epidemics of HIV/AIDS, tuberculosis (TB) and malaria in resource-poor areas of the world have created a critical need for rapid, simple, affordable apparatus and tests that will permit patients with these diseases to be promptly diagnosed and properly managed. As documented in the current issue of Clinical Cytometry, complex flow cytometric analyses used in affluent countries for CD4+ T cell counting in HIV/AIDS have been simplified, introduced, and quality assessed in resource-restricted countries of Africa and the Caribbean, where simple gating protocols such as panleucogating now provide accurate and precise CD4+ T cell counts on a large scale. CD4/CD8 ratios in infants may replace more expensive molecular tests for HIV infection; simplified flow cytometry is also compatible with HIV viral load-associated lymphocyte activation tests and with antigen-specific cellular immune response assays that rapidly diagnose active TB in both HIV-negative and HIV-TB co-infected individuals. In addition, it is becoming evident that smaller, much less expensive fluorescence imaging cytometers can be used for CD4 counting, immunophenotyping, and hematology and for other applications such as diagnosis and drug-susceptibility testing of TB and diagnosis of malaria. With the gradual, organized expansion of the much-needed diagnostic networks in the underprivileged countries, the most cost-effective apparatus may be one capable of performing tests for all the three diseases mentioned. The most sustainable systems will be those that can be assembled and maintained, to the greatest extent possible, in the countries where they will be used.

Rational strain selection and engineering creates a broad-spectrum, systemically effective oncolytic poxvirus, JX-963

Replication-selective oncolytic viruses (virotherapeutics) are being developed as novel cancer therapies with unique mechanisms of action, but limitations in i.v. delivery to tumors and systemic efficacy have highlighted the need for improved agents for this therapeutic class to realize its potential. Here we describe the rational, stepwise design and evaluation of a systemically effective virotherapeutic (JX-963). We first identified a highly potent poxvirus strain that also trafficked efficiently to human tumors after i.v. administration. This strain was then engineered to target cancer cells with activation of the transcription factor E2F and the EGFR pathway by deletion of the thymidine kinase and vaccinia growth factor genes. For induction of tumor-specific cytotoxic T lymphocytes, we further engineered the virus to express human GM-CSF. JX-963 was more potent than the previously used virotherapeutic Onyx-015 adenovirus and as potent as wild-type vaccinia in all cancer cell lines tested. Significant cancer selectivity of JX-963 was demonstrated in vitro in human tumor cell lines, in vivo in tumor-bearing rabbits, and in primary human surgical samples ex vivo. Intravenous administration led to systemic efficacy against both primary carcinomas and widespread organ-based metastases in immunocompetent mice and rabbits. JX-963 therefore holds promise as a rationally designed, targeted virotherapeutic for the systemic treatment of cancer in humans and warrants clinical testing.

Flow cytometry for drug discovery, receptor pharmacology and high-throughput screening

Although flow cytometry is viewed as a mature technology, there have been dramatic advances in analysis capabilities, sorting, sample handling and sensitivity in the past decade. These advances contribute to its application in biological and chemical diversity, sample throughput, high content, and complex systems biology. This article will evaluate the new opportunities for flow cytometry relating to receptor assembly and pharmacology, as well as a range of screening applications.

How will haematologists use proteomics?

Proteomics technologies are emerging as a useful tool in the identification of disease biomarkers, and in defining and characterising both normal physiological and disease processes. Many cellular changes in protein expression in response to an external stimulus or mutation can only be characterised at the proteome level. In these cases protein expression is often controlled by altered rates of translation and/or degradation, making proteomics an important tool in the analysis of biological systems. In the leukaemias, post-translational modification of proteins (e.g. phosphorylation, acetylation) plays a key role in the molecular pathology of the disease: such modifications can now be detected with novel proteomic methods. In a clinical setting, serum remains a relatively un-mined source of information for prognosis and response to therapy. This protein rich fluid represents an opportunity for proteomics research to benefit hematologists and others. In this review, we discuss the technologies available for the study of the proteome that offer realistic opportunities in haematology.

What's wrong with drug screening today

Drug screening in the immediate term will be best accomplished by early use of primary cells in which the target of the screen is a network of proteins measured in populations of single cells.

Cross-talk between Chk1 and Chk2 in double-mutant thymocytes

Chk1 is a checkpoint kinase and an important regulator of mammalian cell division. Because null mutation of Chk1 in mice is embryonic lethal, we used the Cre-loxP system and the Lck promoter to generate conditional mutant mice in which Chk1 was deleted only in the T lineage. In the absence of Chk1, the transition of CD4(-)CD8(-) double-negative (DN) thymocytes to CD4(+)CD8(+) double-positive (DP) cells was blocked due to an increase in apoptosis at the DN2 and DN3 stages. Strikingly, loss of Chk1 activated the checkpoint kinase Chk2 as well as the tumor suppressor p53 in these thymocytes. However, the developmental defects caused by Chk1 deletion were not rescued by p53 inactivation. Significantly, even though Chk1 deletion is highly lethal in proliferating tissues, we succeeded in using in vivo methods to generate Chk1/Chk2 double-knockout T cells. Analysis of these T cells revealed an interesting interaction between Chk1 and Chk2 functions that partially rescued the apoptosis of the double-mutant cells. Thus, Chk1 is both critical for the survival of proliferating cells and engages in cross-talk with the Chk2 checkpoint kinase pathway. These factors have implications for the targeting of Chk1 as an anticancer therapy.

Functional screening revisited in the postgenomic era

Functional screening can reveal a hidden function of a gene. cDNA library-based functional screening has flourished in various fields of biology so far, such as cancer biology, developmental biology and neuroscience. In the postgenomic era, however, various sequence database and public full-length cDNA resources are available, which now allow us to perform more straightforward, gene-oriented screening. Furthermore, the advent of RNA interference techniques has made it possible to perform effective loss-of-function screening. Gene-based functional screening is able to bridge the gap between genes and biological phenomena and raise important biological questions which should be tackled by integration of 'omic' datasets. These possible roles of functional screening will become more and more important in modern molecular biology moving toward the system level understanding of living organisms.

High-Throughput Screening of Single-Chain Antibodies Using Multiplexed Flow Cytometry

We have developed a screening method that has the potential to streamline the high-throughput analysis of affinity reagents for proteomic projects. By using multiplexed flow cytometry, we can simultaneously determine the relative expression levels, the identification of nonspecific binding, and the discrimination of fine specificities to generate a complete functional profile for each clone. The quality and quantity of data, combined with significant reductions in analysis time and antigen consumption, provide notable advantages over standard ELISA methods and yield much information in the primary screen which is usually only obtained in later screens. By combining high-throughput screening capabilities with multiplex technology, we have redefined the parameters for the initial identification of affinity reagents recovered from combinatorial libraries and removed a significant bottleneck in the generation of affinity reagents on a proteomic scale.

Flow cytometry and cell sorting

Flow cytometry and cell sorting are well-established technologies in clinical diagnostics and biomedical research. Heterogeneous mixtures of cells are placed in suspension and passed single file across one or more laser interrogation points. Light signals emitted from the particles are collected and correlated to entities such as cell morphology, surface and intracellular protein expression, gene expression, and cellular physiology. Based on user-defined parameters, individual cells can then be diverted from the fluid stream and collected into viable, homogeneous fractions at exceptionally high speeds and a purity that approaches 100%. As such, the cell sorter becomes the launching point for numerous downstream studies. Flow cytometry is a cornerstone in clinical diagnostics, and cheaper, more versatile machines are finding their way into widespread and varied uses. In addition, advances in computing and optics have led to a new generation of flow cytometers capable of processing cells at orders of magnitudes faster than their predecessors, and with staggering degrees of complexity, making the cytometer a powerful discovery tool in biotechnology. This chapter will begin with a discussion of basic principles of flow cytometry and cell sorting, including a technical description of factors that contribute to the performance of these instruments. The remaining sections will then be divided into clinical- and research-based applications of flow cytometry and cell sorting, highlighting salient studies that illustrate the versatility of this indispensable technology.

Anisotropy of cell adhesive microenvironment governs cell internal organization and orientation of polarity

Control of the establishment of cell polarity is an essential function in tissue morphogenesis and renewal that depends on spatial cues provided by the extracellular environment. The molecular role of cell-cell or cell-extracellular matrix (ECM) contacts on the establishment of cell polarity has been well characterized. It has been hypothesized that the geometry of the cell adhesive microenvironment was directing cell surface polarization and internal organization. To define how the extracellular environment affects cell polarity, we analyzed the organization of individual cells plated on defined micropatterned substrates imposing cells to spread on various combinations of adhesive and nonadhesive areas. The reproducible normalization effect on overall cell compartmentalization enabled quantification of the spatial organization of the actin network and associated proteins, the spatial distribution of microtubules, and the positioning of nucleus, centrosome, and Golgi apparatus. By using specific micropatterns and statistical analysis of cell compartment positions, we demonstrated that ECM geometry determines the orientation of cell polarity axes. The nucleus-centrosome orientations were reproducibly directed toward cell adhesive edges. The anisotropy of the cell cortex in response to the adhesive conditions did not affect the centrosome positioning at the cell centroid. Based on the quantification of microtubule plus end distribution we propose a working model that accounts for that observation. We conclude that, in addition to molecular composition and mechanical properties, ECM geometry plays a key role in developmental processes.