Preparing Viable Single Cells from Human Tissue and Tumors for Cytomic Analysis
暂无分享,去创建一个
Jonathan M Irish | Nalin Leelatian | Justine Sinnaeve | Rebecca A. Ihrie | A. Greenplate | J. Irish | R. Ihrie | Deon B Doxie | Allison R Greenplate | Rebecca A Ihrie | Nalin Leelatian | Justine Sinnaeve | D. Doxie
[1] Bo Wang,et al. Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning , 2016, Nature Methods.
[2] A. Greenplate,et al. Dissecting Complex Cellular Systems with High Dimensional Single Cell Mass Cytometry , 2016 .
[3] A Orfao,et al. EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes , 2012, Leukemia.
[4] S. Ansari,et al. Isolation and expansion of human glioblastoma multiforme tumor cells using the neurosphere assay. , 2011, Journal of visualized experiments : JoVE.
[5] Erika Pastrana,et al. Prospective Identification and Purification of Quiescent Adult Neural Stem Cells from Their In Vivo Niche , 2014, Neuron.
[6] Sean C. Bendall,et al. Cytometry by time-of-flight shows combinatorial cytokine expression and virus-specific cell niches within a continuum of CD8+ T cell phenotypes. , 2012, Immunity.
[7] B. Wood,et al. Considerations for the control of background fluorescence in clinical flow cytometry , 2009, Cytometry. Part B, Clinical cytometry.
[8] Michael R. Green,et al. Distinct patterns of B-cell receptor signaling in non-Hodgkin lymphomas identified by single-cell profiling. , 2017, Blood.
[9] Yuri Kotliarov,et al. Tumor stem cells derived from glioblastomas cultured in bFGF and EGF more closely mirror the phenotype and genotype of primary tumors than do serum-cultured cell lines. , 2006, Cancer cell.
[10] Y. Saeys,et al. Computational flow cytometry: helping to make sense of high-dimensional immunology data , 2016, Nature Reviews Immunology.
[11] Jonathan M Irish,et al. Altered B-cell receptor signaling kinetics distinguish human follicular lymphoma B cells from tumor-infiltrating nonmalignant B cells. , 2006, Blood.
[12] J. Richards,et al. Flow cytometry assessment of residual melanoma cells in tumor‐infiltrating lymphocyte cultures , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[13] Eli R. Zunder,et al. Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm , 2015, Nature Protocols.
[14] Alberto Orfao,et al. Minimal residual disease diagnostics in acute lymphoblastic leukemia: need for sensitive, fast, and standardized technologies. , 2015, Blood.
[15] Albert D Donnenberg,et al. Rare event detection and analysis in flow cytometry: bone marrow mesenchymal stem cells, breast cancer stem/progenitor cells in malignant effusions, and pericytes in disaggregated adipose tissue. , 2011, Methods in molecular biology.
[16] Sean C. Bendall,et al. Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum , 2011, Science.
[17] J. Paul Robinson. Comparative Overview of Flow and Image Cytometry , 2005, Current protocols in cytometry.
[18] R. Hardy,et al. Demonstration of B-cell maturation in X-linked immunodeficient mice by simultaneous three-colour immunofluorescence , 1983, Nature.
[19] R. Nussenblatt,et al. Standardizing immunophenotyping for the Human Immunology Project , 2012, Nature Reviews Immunology.
[20] Garry P. Nolan,et al. Coordinate Analysis of Murine Immune Cell Surface Markers and Intracellular Phosphoproteins by Flow Cytometry1 , 2005, The Journal of Immunology.
[21] J. Myklebust,et al. Mass Cytometry of Follicular Lymphoma Tumors Reveals Intrinsic Heterogeneity in Proteins Including HLA‐DR and a Deficit in Nonmalignant Plasmablast and Germinal Center B‐Cell Populations , 2017, Cytometry. Part B, Clinical cytometry.
[22] Michael Poidinger,et al. High-dimensional analysis of the murine myeloid cell system , 2014, Nature Immunology.
[23] Garry P Nolan,et al. Single-cell Mass Cytometry for Analysis of Immune System Functional States This Review Comes from a Themed Issue on Host Pathogens Basic Concepts of Mass Cytometry , 2022 .
[24] O. Ornatsky,et al. Study of cell antigens and intracellular DNA by identification of element-containing labels and metallointercalators using inductively coupled plasma mass spectrometry. , 2008, Analytical chemistry.
[25] Sean C. Bendall,et al. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia , 2013, Nature Biotechnology.
[26] H. Maecker,et al. Selecting fluorochrome conjugates for maximum sensitivity , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[27] Josef Spidlen,et al. Preparing a Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) Compliant Manuscript Using the International Society for Advancement of Cytometry (ISAC) FCS File Repository (FlowRepository.org) , 2012, Current protocols in cytometry.
[28] Ash A. Alizadeh,et al. B-cell signaling networks reveal a negative prognostic human lymphoma cell subset that emerges during tumor progression , 2010, Proceedings of the National Academy of Sciences.
[29] R. Henkelman,et al. Identification of human brain tumour initiating cells , 2004, Nature.
[30] A. Donnenberg,et al. Flow cytometric determination of stem/progenitor content in epithelial tissues: An example from nonsmall lung cancer and normal lung , 2013, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[31] Stuart B. Goodman,et al. Clinical recovery from surgery correlates with single-cell immune signatures , 2014, Science Translational Medicine.
[32] Mario Roederer,et al. The Genetic Architecture of the Human Immune System: A Bioresource for Autoimmunity and Disease Pathogenesis , 2015, Cell.
[33] S. Morrison,et al. Prospective identification of tumorigenic breast cancer cells , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[34] Sean C. Bendall,et al. Normalization of mass cytometry data with bead standards , 2013, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[35] J. Irish,et al. Cutting Edge: Redox Signaling Hypersensitivity Distinguishes Human Germinal Center B Cells , 2015, The Journal of Immunology.
[36] S. Hunger,et al. Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia and its relationship to other prognostic factors: a Children's Oncology Group study. , 2008, Blood.
[37] E. Newell,et al. Mass cytometry: blessed with the curse of dimensionality , 2016, Nature Immunology.
[38] H. Maecker,et al. Multiparameter Phenotyping of Human PBMCs Using Mass Cytometry. , 2015, Methods in molecular biology.
[39] Rebecca A. Ihrie,et al. Single Cell Analysis of Human Tissues and Solid Tumors with Mass Cytometry. , 2017, Cytometry. Part B, Clinical cytometry.
[40] Jonathan M Irish,et al. Analysis of protein phosphorylation and cellular signaling events by flow cytometry: techniques and clinical applications. , 2004, Clinical immunology.
[41] J. Irish,et al. Beyond the age of cellular discovery , 2014, Nature Immunology.
[42] Iuis-Who Nomenclature Subcommittee. Nomenclature for clusters of differentiation (CD) of antigens defined on human leukocyte populations. IUIS-WHO Nomenclature Subcommittee. , 1984, Bulletin of the World Health Organization.
[43] J. Sosman,et al. Myelodysplastic Syndrome Revealed by Systems Immunology in a Melanoma Patient Undergoing Anti–PD-1 Therapy , 2016, Cancer Immunology Research.
[44] Sean C. Bendall,et al. A deep profiler's guide to cytometry. , 2012, Trends in immunology.
[45] Jonathan M Irish,et al. High-dimensional single-cell cancer biology. , 2014, Current topics in microbiology and immunology.
[46] L. Herzenberg,et al. Identification of B-cell subsets: an exposition of 11-color (Hi-D) FACS methods. , 2004, Methods in molecular biology.
[47] S. Weiss,et al. A multipotent EGF-responsive striatal embryonic progenitor cell produces neurons and astrocytes , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[48] Jonathan M Irish,et al. Single Cell Profiling of Potentiated Phospho-Protein Networks in Cancer Cells , 2004, Cell.
[49] Peter O. Krutzik,et al. Single‐Cell Phospho‐Protein Analysis by Flow Cytometry , 2007, Current protocols in immunology.
[50] P. Chattopadhyay,et al. Cytometry: today's technology and tomorrow's horizons. , 2012, Methods.
[51] G. Nolan,et al. Mapping normal and cancer cell signalling networks: towards single-cell proteomics , 2006, Nature Reviews Cancer.
[52] Kirsten E Diggins,et al. Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data. , 2015, Methods.
[53] F. Craig,et al. Flow cytometric immunophenotyping for hematologic neoplasms. , 2008, Blood.
[54] Rebecca A. Ihrie,et al. Single cell analysis of human tissues and solid tumors with mass cytometry , 2017, Cytometry. Part B, Clinical cytometry.
[55] Eli R. Zunder,et al. Transient partial permeabilization with saponin enables cellular barcoding prior to surface marker staining , 2014, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[56] P. Chattopadhyay,et al. Seventeen-colour flow cytometry: unravelling the immune system , 2004, Nature Reviews Immunology.
[57] Dmitry Bandura,et al. Highly multiparametric analysis by mass cytometry. , 2010, Journal of immunological methods.
[58] O. Ornatsky,et al. Mass cytometry: technique for real time single cell multitarget immunoassay based on inductively coupled plasma time-of-flight mass spectrometry. , 2009, Analytical chemistry.
[59] Sean C. Bendall,et al. Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis , 2015, Cell.
[60] G. Nolan,et al. Mass Cytometry: Single Cells, Many Features , 2016, Cell.
[61] Sean C. Bendall,et al. Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE , 2011, Nature Biotechnology.
[62] Nikesh Kotecha,et al. Web‐Based Analysis and Publication of Flow Cytometry Experiments , 2010, Current protocols in cytometry.
[63] Erika Pastrana,et al. Simultaneous prospective purification of adult subventricular zone neural stem cells and their progeny , 2009, Proceedings of the National Academy of Sciences.
[64] G. Mufti,et al. Deep phenotyping of Tregs identifies an immune signature for idiopathic aplastic anemia and predicts response to treatment. , 2016, Blood.
[65] Peter O. Krutzik,et al. Intracellular phospho‐protein staining techniques for flow cytometry: Monitoring single cell signaling events , 2003, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[66] J. Irish,et al. High-Dimensional Analysis of Acute Myeloid Leukemia Reveals Phenotypic Changes in Persistent Cells during Induction Therapy , 2016, PloS one.
[67] Mario Roederer,et al. Single-cell technologies for monitoring immune systems , 2014, Nature Immunology.
[68] S. Kalams,et al. Multiparameter analysis of stimulated human peripheral blood mononuclear cells: A comparison of mass and fluorescence cytometry , 2016, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[69] Douglas B. Johnson,et al. Systems immune monitoring in cancer therapy. , 2016, European journal of cancer.
[70] Mario Cazzola,et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. , 2016, Blood.
[71] Kenneth D Cole,et al. Human CD4+ lymphocytes for antigen quantification: Characterization using conventional flow cytometry and mass cytometry , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[72] Sean C. Bendall,et al. Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development , 2014, Cell.
[73] M. Roederer,et al. Optimizing a multicolor immunophenotyping assay. , 2007, Clinics in laboratory medicine.
[74] J. Irish,et al. Characterizing Phenotypes and Signaling Networks of Single Human Cells by Mass Cytometry. , 2015, Methods in molecular biology.
[75] A. Boyd,et al. Neurosphere and adherent culture conditions are equivalent for malignant glioma stem cell lines , 2015, Anatomy & cell biology.
[76] K. M. May,et al. Mammalian Cell Tissue Culture Techniques , 2017, Current protocols in molecular biology.
[77] Mario Roederer,et al. Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients , 1999, Nature Medicine.
[78] R. Hardy,et al. Three-color immunofluorescence analysis of mouse B-lymphocyte subpopulations. , 1984, Cytometry.
[79] Mark M. Davis,et al. Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE) , 2013, Proceedings of the National Academy of Sciences.
[80] Kirsten E Diggins,et al. Characterizing cell subsets in heterogeneous tissues using marker enrichment modeling , 2016, Nature Methods.
[81] D. Nixon,et al. Nine‐color flow cytometry for accurate measurement of T cell subsets and cytokine responses. Part I: Panel design by an empiric approach , 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[82] J. Bluestone,et al. Harnessing the plasticity of CD4+ T cells to treat immune-mediated disease , 2016, Nature Reviews Immunology.
[83] Bruce Greig,et al. 2006 Bethesda International Consensus recommendations on the immunophenotypic analysis of hematolymphoid neoplasia by flow cytometry: Optimal reagents and reporting for the flow cytometric diagnosis of hematopoietic neoplasia , 2007, Cytometry. Part B, Clinical cytometry.
[84] Leonore A. Herzenberg,et al. Identification of B-Cell Subsets , 2004 .
[85] Russ B. Altman,et al. Towards a Cytokine-Cell Interaction Knowledgebase of the Adaptive Immune System , 2008, Pacific Symposium on Biocomputing.
[86] Howard Y. Chang,et al. Identification, molecular characterization, clinical prognosis, and therapeutic targeting of human bladder tumor-initiating cells , 2009, Proceedings of the National Academy of Sciences.