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  • 1
    In: Cancer Cell, Elsevier BV, Vol. 26, No. 3 ( 2014-09), p. 414-427
    Type of Medium: Online Resource
    ISSN: 1535-6108
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
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    SSG: 12
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  • 2
    Online Resource
    Online Resource
    The American Association of Immunologists ; 2009
    In:  The Journal of Immunology Vol. 183, No. 1 ( 2009-07-01), p. 332-339
    In: The Journal of Immunology, The American Association of Immunologists, Vol. 183, No. 1 ( 2009-07-01), p. 332-339
    Abstract: An early reaction of CD4+ T lymphocytes to Ag is the production of cytokines, notably IL-2. To detect cytokine-dependent responses, naive Ag-specific T cells were stimulated in vivo and the presence of phosphorylated STAT5 molecules was used to identify the cell populations responding to IL-2. Within hours of T cell priming, IL-2-dependent STAT5 phosphorylation occurred primarily in Foxp3+ regulatory T cells. In contrast, the Ag-specific T cells received STAT5 signals only after repeated Ag exposure or memory differentiation. Regulatory T cells receiving IL-2 signals proliferated and developed enhanced suppressive activity. These results indicate that one of the earliest events in a T cell response is the activation of endogenous regulatory cells, potentially to prevent autoimmunity.
    Type of Medium: Online Resource
    ISSN: 0022-1767 , 1550-6606
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    Language: English
    Publisher: The American Association of Immunologists
    Publication Date: 2009
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  • 3
    In: Fertility and Sterility, Elsevier BV, Vol. 98, No. 6 ( 2012-12), p. 1616-1619
    Type of Medium: Online Resource
    ISSN: 0015-0282
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2012
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  • 4
    In: Bioinformatics, Oxford University Press (OUP), Vol. 34, No. 23 ( 2018-12-01), p. 4131-4133
    Abstract: High-parameter single-cell technologies can reveal novel cell populations of interest, but studying or validating these populations using lower-parameter methods remains challenging. Results Here, we present GateFinder, an algorithm that enriches high-dimensional cell types with simple, stepwise polygon gates requiring only two markers at a time. A series of case studies of complex cell types illustrates how simplified enrichment strategies can enable more efficient assays, reveal novel biomarkers and clarify underlying biology. Availability and implementation The GateFinder algorithm is implemented as a free and open-source package for BioConductor: https://nalab.stanford.edu/gatefinder. Supplementary information Supplementary data are available at Bioinformatics online.
    Type of Medium: Online Resource
    ISSN: 1367-4803 , 1367-4811
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2018
    detail.hit.zdb_id: 1468345-3
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  • 5
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 18, No. 9 ( 2019-09-01), p. 1565-1576
    Abstract: Amplification of the epidermal growth factor receptor gene (EGFR) represents one of the most commonly observed genetic lesions in glioblastoma (GBM); however, therapies targeting this signaling pathway have failed clinically. Here, using human tumors, primary patient-derived xenografts (PDX), and a murine model for GBM, we demonstrate that EGFR inhibition leads to increased invasion of tumor cells. Further, EGFR inhibitor–treated GBM demonstrates altered oxidative stress, with increased lipid peroxidation, and generation of toxic lipid peroxidation products. A tumor cell subpopulation with elevated aldehyde dehydrogenase (ALDH) levels was determined to comprise a significant proportion of the invasive cells observed in EGFR inhibitor–treated GBM. Our analysis of the ALDH1A1 protein in newly diagnosed GBM revealed detectable ALDH1A1 expression in 69% (35/51) of the cases, but in relatively low percentages of tumor cells. Analysis of paired human GBM before and after EGFR inhibitor therapy showed an increase in ALDH1A1 expression in EGFR-amplified tumors (P & lt; 0.05, n = 13 tumor pairs), and in murine GBM ALDH1A1-high clones were more resistant to EGFR inhibition than ALDH1A1-low clones. Our data identify ALDH levels as a biomarker of GBM cells with high invasive potential, altered oxidative stress, and resistance to EGFR inhibition, and reveal a therapeutic target whose inhibition should limit GBM invasion.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 6
    In: Bioinformatics, Oxford University Press (OUP), Vol. 28, No. 18 ( 2012-09-15), p. 2400-2401
    Abstract: Motivation: Recent advances in flow cytometry enable simultaneous single-cell measurement of 30+ surface and intracellular proteins. CytoSPADE is a high-performance implementation of an interface for the Spanning-tree Progression Analysis of Density-normalized Events algorithm for tree-based analysis and visualization of this high-dimensional cytometry data. Availability: Source code and binaries are freely available at http://cytospade.org and via Bioconductor version 2.10 onwards for Linux, OSX and Windows. CytoSPADE is implemented in R, C++ and Java. Contact:  michael.linderman@mssm.edu Supplementary Information: Additional documentation available at http://cytospade.org.
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2012
    detail.hit.zdb_id: 1468345-3
    SSG: 12
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  • 7
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 488-488
    Abstract: Background: Flow cytometric immuno-phenotyping of lineage-associated antigens is used in the diagnosis of BCP ALL to distinguish neoplastic B-cells. However, the resultant immunophenotypic expression patterns are inadequate to inform prognosis or choice of therapy. Mass cytometry allows for multi-parametric analysis of single cells to distinguish phenotypic and functional features of subpopulations from leukemia samples. Mass cytometric analysis of pediatric Ph+ BCP ALL constructs a novel model of ALL organized along the normal B cell developmental trajectory (Davis et al., Cell 2014). Leukemic cells share phenotypic features with their normal early B cell counterparts. Critical survival and proliferation signaling is also linked to phenotypic state. Further, the developmental state of leukemic populations common among the patients impacts in vitroresponse to inhibition of BCR-ABL kinase signaling. Methods: Mononuclear cells from diagnostic bone marrow samples were obtained from pediatric patients with Philadelphia chromosome positive BCP-ALL under informed consent (n=21) or healthy controls (n=5). Mass cytometry analysis of 40 proteins was performed at baseline state and perturbed state (IL-7, TSLP, anti-m, dasatinib, tofacitinib, BEZ-235) as previously described (Bendall et al., Science 2011). Analysis was restricted to progenitor and blast populations. Healthy bone marrow samples were gated as previously described along the trajectory of developing B cells (Davis et al., Cell2014). These populations were used as the foundation for a classifier in which each leukemia cell was assigned to its nearest healthy population based on a distance metric (Mahalanobis in nine dimensions). Results: Compared to healthy bone marrow controls, and as expected, ALL samples displayed overexpression of early B cell immunophenotypic markers including CD10 (healthy mean counts 3.83 vs. leukemic 283.3, p=0.03), CD34 (6.26 vs. 80.7; p=0.03), and TdT (2.03 vs.18.9; p=0.002). Leukemic cells expressed lower levels of CD45 and IgM compared to healthy developing B cells. Extended phenotyping revealed conserved patterns of protein expression consistent with different developmental stages in B cell development. We have previously identified the precise developmental ordering of human B cell fractions based on the combined expression of CD34, CD38, CD24, TdT (Davis et al., Cell 2014). ALL samples showed increased numbers of cells occupying B cell progenitor compartments compared to healthy bone marrow controls. To formalize this observation, a single-cell classifier was constructed based on the developmental trajectory of healthy B cells. Each leukemic cell was assigned its most related healthy B cell population based on the expression of nine developmental proteins. Across all samples, the size of the pre-proB (CD34+CD38+TdT+) and proB (CD34+CD38+TdT+CD24+) compartments expanded (12% and 33% in ALL vs. 1% and 2% in healthy, respectively) at the expense of progenitor and preB cell compartments. Interestingly, within a given sample, cells may expand within more than one progenitor compartment such that each leukemia had a corrupted, but distinct B cell developmental trajectory. In two diagnosis-relapse pairs, the relapse sample occupied a more mature phenotype compared to its diagnostic partner. Within the developmental compartments, blast cells retained functional features of their healthy counterparts. Blasts within the ProB cell compartment displayed higher basal levels of pSTAT5, pS6, p4EBP1 and pCreb than blasts in other developmental compartments. These cells were more proliferative based on higher mean expression of Ki67. In healthy bone marrow, cells in this developmental state are characterized by ligand-independent STAT5 activation. Indeed the leukemia’s overall level of pSTAT5 correlated with the percentage of cells in the ProB state (R2=0.71). Similarly, in the leukemic samples, patients with a high percentage of cells in this state were less able to respond to inhibition of STAT5 with the tyrosine kinase inhibitor, Dasatinib than cells in other developmental compartments. Conclusions: Deep proteomic profiling of BCP ALL establishes a single-cell classification linking phenotype with functional attributes of leukemic cells. This data demonstrates that leukemic cells are more or less sensitive to therapeutic intervention based on their developmental state. Disclosures Bendall: Fluidigm: Consultancy. Simonds:Fluidigm: Consultancy, Equity Ownership. Nolan:Fluidigm, Inc: Consultancy, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 8
    In: Blood, American Society of Hematology, Vol. 133, No. 10 ( 2019-03-07), p. 1119-1129
    Abstract: Follicular lymphoma (FL) is a low-grade B-cell malignancy that transforms into a highly aggressive and lethal disease at a rate of 2% per year. Perfect isolation of the malignant B-cell population from a surgical biopsy is a significant challenge, masking important FL biology, such as immune checkpoint coexpression patterns. To resolve the underlying transcriptional networks of follicular B-cell lymphomas, we analyzed the transcriptomes of 34 188 cells derived from 6 primary FL tumors. For each tumor, we identified normal immune subpopulations and malignant B cells, based on gene expression. We used multicolor flow cytometry analysis of the same tumors to confirm our assignments of cellular lineages and validate our predictions of expressed proteins. Comparison of gene expression between matched malignant and normal B cells from the same patient revealed tumor-specific features. Malignant B cells exhibited restricted immunoglobulin (Ig) light chain expression (either Igκ or Igλ), as well the expected upregulation of the BCL2 gene, but also downregulation of the FCER2, CD52, and major histocompatibility complex class II genes. By analyzing thousands of individual cells per patient tumor, we identified the mosaic of malignant B-cell subclones that coexist within a FL and examined the characteristics of tumor-infiltrating T cells. We identified genes coexpressed with immune checkpoint molecules, such as CEBPA and B2M in regulatory T (Treg) cells, providing a better understanding of the gene networks involved in immune regulation. In summary, parallel measurement of single-cell expression in thousands of tumor cells and tumor-infiltrating lymphocytes can be used to obtain a systems-level view of the tumor microenvironment and identify new avenues for therapeutic development.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
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  • 9
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 703-703
    Abstract: Abstract 703 The classic myeloproliferative neoplasms (MPNs) polycythemia vera (PV), essential thrombocythemia, and primary myelofibrosis (PMF) are frequently associated with the JAK2 V617F mutation or other genetic alterations in members of the JAK-STAT axis. These mutations have been shown to cause hyperactivated JAK-STAT signaling in cell lines and mouse models. How accurately these models recapitulate human MPN pathogenesis remains uncertain, as in vivo signaling in MPNs is likely modulated by other genetic changes and regulatory dynamics. In addition, the phenotypic changes that accompany transformation of chronic MPNs to secondary acute myeloid leukemia (sAML) have not been well characterized. While targeted inhibitors of JAK2 have shown activity in MPNs, the incomplete responses observed clinically have called into question the utility of JAK2 as a therapeutic target, suggesting that dysregulation of other signaling pathways may be important in MPN pathogenesis. Therefore, a more complete assessment of JAK-STAT and related signaling pathways in MPNs is needed. Mass cytometry is a novel technology that merges aspects of flow cytometry with mass spectrometry – cells are labeled with antibodies conjugated to elemental isotope reporters and then analyzed on the CyTOF mass cytometer. Each mass channel is distinct, such that no compensation is required, thus circumventing the spectral limitations of fluorescence-based flow cytometry and enabling the simultaneous measurement of 30+ parameters at the single cell level. We have utilized this approach to examine multiple signaling effectors in cell populations throughout hematopoietic differentiation. Our initial experiment included samples from three MPN patients (PV, PMF, post-PV sAML), and one normal donor. Cells were exposed to nine different perturbation conditions ex vivo, including cytokines and the JAK1/2 inhibitor ruxolitinib. Cells were stained with a panel of 17 surface markers and 13 dynamic intracellular signaling effectors and analyzed on the CyTOF. Single cell data was uploaded into SPADE (spanning-tree analysis of density-normalized events), which distills multidimensional data down to interconnected cell subsets and creates 2D tree plots based on shared surface marker expression. These plots identified recognizable cell subsets, including hematopoietic stem/progenitors (HSPCs) and myeloid and lymphoid lineage subsets. Heat maps were constructed to depict the relative induction of each intracellular marker in response to each condition. In the HSPC compartment, several expected responses were observed, particularly in PV. Erythropoietin-mediated activation of STAT3 and thrombopoietin (Tpo)-mediated activation of STAT3/5 were enhanced in PV committed progenitors. On a broader level, PV HSPCs exhibited heightened signaling sensitivities involving several cytokines and downstream effectors. Notably, CREB and S6 phosphorylation were strongly induced by Tpo, G-CSF, and IL-3. Ruxolitinib pre-treatment markedly inhibited signaling mediated by Tpo in PV CD34+ cells, indicating that the HSPC compartment can be effectively targeted by ex vivo JAK1/2 inhibition. In contrast to PV, PMF HSPCs exhibited lesser sensitivity to cytokine stimulation. In several instances, such as IL-3 induction of pSTAT5, the responses were in fact suppressed compared to normal. CD34+ HSPC from the sAML patient generally exhibited subnormal signaling responses. However, widespread hyperactivation following exposure to the phosphatase inhibitor pervanadate (PVO4) was observed in sAML CD34+ cells, suggesting that these signaling pathways were activated in vivo, but that feedback inhibition in response to persistent activity led to downregulation of their ex vivo inducibility. Based on these preliminary findings, we hypothesize that the fundamental chronic phase MPN state is one of heightened cytokine signaling sensitivity, while the advanced phase (especially sAML) state is one of tonic or constitutive downstream signaling activity with persistent feedback inhibition on cytokine signaling pathways. To test this hypothesis, experiments with a larger cohort of MPN samples are currently underway. These studies will provide a comprehensive framework of altered signaling in MPNs and provide deeper insights into the role of targeted therapy for MPNs. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 10
    Online Resource
    Online Resource
    American Society of Hematology ; 2012
    In:  Blood Vol. 120, No. 21 ( 2012-11-16), p. 1044-1044
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 1044-1044
    Abstract: Abstract 1044 Background: Normal B cell development in the bone marrow (BM) is a seemingly well-understood, progressive process and thus represents a suitable test system in which to apply an algorithmic approach to modeling cellular differentiation. In humans, hematopoietic stem cells form lymphoid progenitor cells that develop into pro- then pre- B cells and finally those cells that escape negative selection become immature B cells that leave the BM for the peripheral immune organs. Flow cytometry can track these stages using the expression of immunophenotypic cell surface markers, including those for progenitors (CD34, CD38), early B cell populations (CD10), as well as those of more mature B cells (CD20, IgM). Expression of the B cell transcription factor PAX5, and immune diversity conferring enzymes terminal deoxynucleotidyl transferase (TdT) and recombination-activating gene (RAG) can also be tracked at the single cell level. Regulatory signaling by factors in the BM orchestrates critical checkpoints in the B cell developmental program, such as Interleukin (IL)-7-mediated STAT5 phosphorylation and signaling downstream the preB cell receptor/B cell receptor (BCR) (p-BLNK, p-Syk, p-PLCγ2, p-Erk). Successful coordination of these signals with immunoglobulin gene rearrangement results in a burst of proliferative expansion prior to maturation/exit to the periphery. Failure of any one of these processes results in B cell deletion while certain dysregulations driven by oncogenic processes can result in malignancy. While much of this core understanding has been founded in murine models, the rarity of early B cell progenitors and lack of genetic tools has complicated definition of B cell development in humans. Using 42 parameter mass cytometry in combination with a novel single-cell trajectory finding algorithm, we have now laid a human B cell developmental process in primary human BM to an unprecedented level of detail, mapping out the expression pattern of virtually all relevant B cell immunophenotypic markers as well as intracellular enzyme, transcription factor and regulatory modification simultaneously, at the single cell level. Methods: The mononuclear cell fraction of multiple healthy human marrows was characterized by simultaneously analyzing 42 antibody parameters with mass cytometry targeting a multitude of phenotypic markers, intracellular signaling molecules, hallmarks of cell cycle and apoptosis all in the context of in vitro perturbations relevant to B cell development (including IL-7 and BCR crosslinking). The resulting multidimensional data was modeled using a novel, scalable, robust graph-based trajectory algorithm that iteratively refines a solution trajectory using random landmarks to reduce variability. Populations of interest were prospectively isolated and a novel qPCR assay was created to quantitate immunoglobulin heavy chain (IgH) rearrangement in genomic DNA. Results/Conclusion: Modeling of the resulting data was undertaken using this algorithm (termed Wanderlust) that devised and ordered cellular relationships based on the average phenotypic progression from our defined starting point, in this case, CD34+CD38- hematopoietic stem cells, in order to calculate a developmental trajectory. The predicted trajectory was then used to inform a traditional 'gating' analysis of the data and provide a higher resolution view of human B cell development than previously published. It both confirmed established steps in human B cell progression, and importantly, revealed new populations of early B cell progenitors based on expression of CD34, CD38, CD24 and TdT. These populations were corroborated to be of B-lineage and ordered as predicted based on the progressive rearrangement of the IgH locus by qPCR of extracted genomic DNA. We aligned previously unregistered key developmental checkpoints such as STAT5 activation in response to IL-7 and proliferation in response preBCR expression with traditional immunophenotypic cell populations. While predicted in silico, and then molecularly verified and staged in vitro, these regulatory events all lay within discrete cell subsets that can now be demarcated using conventional cytometric methods. Together, this provides a backbone on which to further examine both healthy regulatory events as well as the corruption of this developmental process such as in malignant or immunodeficient states. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
    detail.hit.zdb_id: 1468538-3
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