Immune monitoring using mass cytometry and related high-dimensional imaging approaches

[1]  F. Jamali,et al.  Single dose pharmacokinetics and bioavailability of glucosamine in the rat. , 2002, Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques.

[2]  J. Paul Robinson,et al.  Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) , 2019, European journal of immunology.

[3]  Garry Nolan,et al.  MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure , 2019, Science Advances.

[4]  S. Albani,et al.  Immunome perturbation is present in patients with juvenile idiopathic arthritis who are in remission and will relapse upon anti-TNFα withdrawal , 2019, Annals of the rheumatic diseases.

[5]  G. Salvesen,et al.  The Activome: multiplexed probing of activity of proteolytic enzymes using mass cytometry-compatible activity-based probes (TOF-probes) , 2019 .

[6]  J. Mikes,et al.  Systems-level immunomonitoring using self-sampled capillary blood , 2019, bioRxiv.

[7]  B. Becher,et al.  GM-CSF and CXCR4 Define a T Helper Cell Signature in Multiple Sclerosis , 2019, Nature Medicine.

[8]  William Graf,et al.  Deep learning for cellular image analysis , 2019, Nature Methods.

[9]  Maria Anna Rapsomaniki,et al.  A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer , 2019, Cell.

[10]  Yvan Saeys,et al.  A comparison of single-cell trajectory inference methods , 2019, Nature Biotechnology.

[11]  Mark M. Davis,et al.  Distinct phenotype of CD4+ T cells driving celiac disease identified in multiple autoimmune conditions , 2019, Nature Medicine.

[12]  Reema Baskar,et al.  Parallel analysis of tri-molecular biosynthesis with cell identity and function in single cells , 2019, Nature Communications.

[13]  J. Schug,et al.  Multiplexed In Situ Imaging Mass Cytometry Analysis of the Human Endocrine Pancreas and Immune System in Type 1 Diabetes. , 2019, Cell metabolism.

[14]  Bernd Bodenmiller,et al.  A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry. , 2019, Cell metabolism.

[15]  G. Nolan,et al.  Ion beam subcellular tomography , 2019, bioRxiv.

[16]  Salil S. Bhate,et al.  Subcellular localization of drug distribution by super-resolution ion beam imaging , 2019, bioRxiv.

[17]  Vito R T Zanotelli,et al.  In-Depth Characterization of Monocyte-Derived Macrophages using a Mass Cytometry-Based Phagocytosis Assay , 2019, Scientific Reports.

[18]  G. Nolan,et al.  Multiplexed profiling of RNA and protein expression signatures in individual cells using flow or mass cytometry , 2019, Nature Protocols.

[19]  Robert Tibshirani,et al.  Proliferative tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells , 2018, Nature Biotechnology.

[20]  M. Khademi,et al.  B cell alterations during BAFF inhibition with belimumab in SLE , 2018, EBioMedicine.

[21]  Ola Spjuth,et al.  Deep Learning in Image Cytometry: A Review , 2018, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[22]  Lai Guan Ng,et al.  Dimensionality reduction for visualizing single-cell data using UMAP , 2018, Nature Biotechnology.

[23]  Bruno Agard,et al.  Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy , 2018, Bioinform..

[24]  Erin F. Simonds,et al.  Scalable Conjugation and Characterization of Immunoglobulins with Stable Mass Isotope Reporters for Single-Cell Mass Cytometry Analysis. , 2019, Methods in molecular biology.

[25]  Thomas Brox,et al.  U-Net: deep learning for cell counting, detection, and morphometry , 2018, Nature Methods.

[26]  Sean C. Bendall,et al.  Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy , 2018, bioRxiv.

[27]  M. Gatto,et al.  New therapeutic strategies in systemic lupus erythematosus management , 2018, Nature Reviews Rheumatology.

[28]  Matej Oresic,et al.  A computational framework to integrate high-throughput ‘-omics’ datasets for the identification of potential mechanistic links , 2018, Nature Protocols.

[29]  Nima Aghaeepour,et al.  GateFinder: projection-based gating strategy optimization for flow and mass cytometry , 2018, Bioinform..

[30]  Anasuya Mandal,et al.  Cell and fluid sampling microneedle patches for monitoring skin-resident immunity , 2018, Science Translational Medicine.

[31]  Michael I. Jordan,et al.  Deep Generative Modeling for Single-cell Transcriptomics , 2018, Nature Methods.

[32]  Kamil Slowikowski,et al.  Mixed-effects association of single cells identifies an expanded effector CD4+ T cell subset in rheumatoid arthritis , 2018, Science Translational Medicine.

[33]  W. Marut,et al.  New insights into the genetics and epigenetics of systemic sclerosis , 2018, Nature Reviews Rheumatology.

[34]  G. Nolan,et al.  Metal-isotope-tagged monoclonal antibodies for high-dimensional mass cytometry , 2018, Nature Protocols.

[35]  Sean C. Bendall,et al.  A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging , 2018, Cell.

[36]  Christopher Churas,et al.  CDeep3M—Plug-and-Play cloud-based deep learning for image segmentation , 2018, Nature Methods.

[37]  J. Mikes,et al.  Stereotypic Immune System Development in Newborn Children , 2018, Cell.

[38]  Bonnie Berger,et al.  Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks. , 2018, Cell systems.

[39]  Erin F. Simonds,et al.  A Universal Live Cell Barcoding-Platform for Multiplexed Human Single Cell Analysis , 2018, Scientific Reports.

[40]  Sandra Andorf,et al.  MetaCyto: A Tool for Automated Meta-analysis of Mass and Flow Cytometry Data. , 2018, Cell reports.

[41]  Francesco Vallania,et al.  Single-Cell Chromatin Modification Profiling Reveals Increased Epigenetic Variations with Aging , 2018, Cell.

[42]  Mark D. Robinson,et al.  Compensation of Signal Spillover in Suspension and Imaging Mass Cytometry , 2018, Cell systems.

[43]  Sandro Santagata,et al.  Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes , 2018, eLife.

[44]  M. Fehlings,et al.  Bystander CD8+ T cells are abundant and phenotypically distinct in human tumour infiltrates , 2018, Nature.

[45]  S. Rahman,et al.  IL-21 drives expansion and plasma cell differentiation of autoreactive CD11chiT-bet+ B cells in SLE , 2018, Nature Communications.

[46]  Mark M Davis,et al.  Rebooting Human Immunology. , 2018, Annual review of immunology.

[47]  R. Manz,et al.  Targeting B Cells and Plasma Cells in Autoimmune Diseases , 2018, Front. Immunol..

[48]  R. Catena,et al.  Ruthenium counterstaining for imaging mass cytometry , 2018, The Journal of pathology.

[49]  Sean C. Bendall,et al.  Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse , 2018, Nature Medicine.

[50]  B. Becher,et al.  High‐Dimensional Single‐Cell Mapping of Central Nervous System Immune Cells Reveals Distinct Myeloid Subsets in Health, Aging, and Disease , 2018, Immunity.

[51]  Howard Bernstein,et al.  Microneedle-based device for the one-step painless collection of capillary blood samples , 2018, Nature Biomedical Engineering.

[52]  Leland McInnes,et al.  UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction , 2018, ArXiv.

[53]  A. Barton,et al.  Rheumatoid arthritis , 2018, Nature Reviews Disease Primers.

[54]  Reinhard Dummer,et al.  High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy , 2018, Nature Network Boston.

[55]  Bernd Bodenmiller,et al.  Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry , 2017, Cell systems.

[56]  Mark M. Davis,et al.  Comparison of CyTOF assays across sites: Results of a six-center pilot study , 2017, Journal of immunological methods.

[57]  Salil S. Bhate,et al.  Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging , 2017, Cell.

[58]  Eli R. Zunder,et al.  Atomic mass tag of bismuth‐209 for increasing the immunoassay multiplexing capacity of mass cytometry , 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[59]  Elmar Eisemann,et al.  Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types , 2017, Nature Communications.

[60]  J. Knight,et al.  Unique transcriptome signatures and GM-CSF expression in lymphocytes from patients with spondyloarthritis , 2017, Nature Communications.

[61]  Bernd Bodenmiller,et al.  miCAT: A toolbox for analysis of cell phenotypes and interactions in multiplex image cytometry data , 2017, Nature Methods.

[62]  G. Nolan,et al.  Mass cytometry identifies a distinct monocyte cytokine signature shared by clinically heterogeneous pediatric SLE patients. , 2017, Journal of autoimmunity.

[63]  Bálint Antal,et al.  Image Data Resource: a bioimage data integration and publication platform , 2017, Nature Methods.

[64]  Lana X. Garmire,et al.  More Is Better: Recent Progress in Multi-Omics Data Integration Methods , 2017, Front. Genet..

[65]  John C. Marioni,et al.  Testing for differential abundance in mass cytometry data , 2017, Nature Methods.

[66]  J. Norris,et al.  Discerning Risk of Disease Transition in Relatives of Systemic Lupus Erythematosus Patients Utilizing Soluble Mediators and Clinical Features , 2017, Arthritis & rheumatology.

[67]  Kamil Slowikowski,et al.  Pathologically expanded peripheral T helper cell subset drives B cells in rheumatoid arthritis , 2017, Nature.

[68]  Sean C. Bendall,et al.  Systemic Immunity Is Required for Effective Cancer Immunotherapy , 2017, Cell.

[69]  Amelia Au-Yeung,et al.  Mass cytometry panel optimization through the designed distribution of signal interference , 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[70]  Elmar Eisemann,et al.  Approximated and User Steerable tSNE for Progressive Visual Analytics , 2015, IEEE Transactions on Visualization and Computer Graphics.

[71]  Kathleen E. Sullivan,et al.  New insights into the immunopathogenesis of systemic lupus erythematosus , 2016, Nature Reviews Rheumatology.

[72]  Mark D. Robinson,et al.  Comparison of Clustering Methods for High-Dimensional Single-Cell Flow and Mass Cytometry Data , 2016, bioRxiv.

[73]  Yves Dauvilliers,et al.  High-dimensional single-cell analysis reveals the immune signature of narcolepsy , 2016, The Journal of experimental medicine.

[74]  O. Ornatsky,et al.  Biodistribution of cisplatin revealed by imaging mass cytometry identifies extensive collagen binding in tumor and normal tissues , 2016, Scientific Reports.

[75]  Euan A. Ashley,et al.  Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments , 2016, PLoS Comput. Biol..

[76]  E. Rakasz,et al.  Simian Immunodeficiency Virus-Producing Cells in Follicles Are Partially Suppressed by CD8+ Cells In Vivo , 2016, Journal of Virology.

[77]  B. Walker,et al.  Standardization and quality control for high‐dimensional mass cytometry studies of human samples , 2016, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[78]  E. Newell,et al.  Mass cytometry: blessed with the curse of dimensionality , 2016, Nature Immunology.

[79]  Y. Saeys,et al.  Computational flow cytometry: helping to make sense of high-dimensional immunology data , 2016, Nature Reviews Immunology.

[80]  Anne E Carpenter,et al.  CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets , 2016, bioRxiv.

[81]  X. Mariette,et al.  Cytometry by time-of-flight immunophenotyping identifies a blood Sjögren's signature correlating with disease activity and glandular inflammation. , 2016, The Journal of allergy and clinical immunology.

[82]  G. Nolan,et al.  Mass Cytometry: Single Cells, Many Features , 2016, Cell.

[83]  G. Nolan,et al.  Automated Mapping of Phenotype Space with Single-Cell Data , 2016, Nature Methods.

[84]  Bernd Bodenmiller,et al.  Multiplexed Epitope-Based Tissue Imaging for Discovery and Healthcare Applications. , 2016, Cell systems.

[85]  Sean C. Bendall,et al.  Wishbone identifies bifurcating developmental trajectories from single-cell data , 2016, Nature Biotechnology.

[86]  Eirini Arvaniti,et al.  Sensitive detection of rare disease-associated cell subsets via representation learning , 2016, Nature Communications.

[87]  H. Maecker,et al.  Platinum‐conjugated antibodies for application in mass cytometry , 2016, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[88]  W. Robinson,et al.  Biomarkers to guide clinical therapeutics in rheumatology? , 2016, Current opinion in rheumatology.

[89]  Eli R. Zunder,et al.  Highly multiplexed simultaneous detection of RNAs and proteins in single cells , 2016, Nature Methods.

[90]  B. Becher,et al.  The end of gating? An introduction to automated analysis of high dimensional cytometry data , 2016, European journal of immunology.

[91]  R. Jonsson,et al.  Sjögren syndrome , 2016, Nature Reviews Disease Primers.

[92]  C. Gordon,et al.  Systemic lupus erythematosus , 2016, Nature Reviews Disease Primers.

[93]  W. Robinson,et al.  Decade in review—technology: Technological advances transforming rheumatology , 2015, Nature Reviews Rheumatology.

[94]  Sean C. Bendall,et al.  Single-cell systems-level analysis of human Toll-like receptor activation defines a chemokine signature in patients with systemic lupus erythematosus. , 2015, The Journal of allergy and clinical immunology.

[95]  Rongxin Zhang,et al.  Epigenetics in autoimmune diseases: Pathogenesis and prospects for therapy. , 2015, Autoimmunity reviews.

[96]  P. Marrack,et al.  Age-Associated B Cells: A T-bet–Dependent Effector with Roles in Protective and Pathogenic Immunity , 2015, The Journal of Immunology.

[97]  S. Raychaudhuri,et al.  Immune cell profiling to guide therapeutic decisions in rheumatic diseases , 2015, Nature Reviews Rheumatology.

[98]  Holden T Maecker,et al.  Algorithmic Tools for Mining High-Dimensional Cytometry Data , 2015, The Journal of Immunology.

[99]  Susan Holmes,et al.  Human NK cell repertoire diversity reflects immune experience and correlates with viral susceptibility , 2015, Science Translational Medicine.

[100]  Sean C. Bendall,et al.  An interactive reference framework for modeling a dynamic immune system , 2015, Science.

[101]  Sean C. Bendall,et al.  Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis , 2015, Cell.

[102]  F. Wong,et al.  Fine-Needle Aspiration Biopsy of the Lymph Node: A Novel Tool for the Monitoring of Immune Responses after Skin Antigen Delivery , 2015, The Journal of Immunology.

[103]  Piet Demeester,et al.  FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data , 2015, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[104]  G. Nolan,et al.  Mass cytometry as a platform for the discovery of cellular biomarkers to guide effective rheumatic disease therapy , 2015, Arthritis Research & Therapy.

[105]  B. Igyártó,et al.  Quantifying Memory CD8 T Cells Reveals Regionalization of Immunosurveillance , 2015, Cell.

[106]  Eli R. Zunder,et al.  A continuous molecular roadmap to iPSC reprogramming through progression analysis of single-cell mass cytometry. , 2015, Cell stem cell.

[107]  O. Ornatsky,et al.  Single‐cell measurement of the uptake, intratumoral distribution and cell cycle effects of cisplatin using mass cytometry , 2015, International journal of cancer.

[108]  H. Maecker,et al.  Barcoding of Live Human Peripheral Blood Mononuclear Cells for Multiplexed Mass Cytometry , 2015, The Journal of Immunology.

[109]  Raymond Ong,et al.  A CD45-based barcoding approach to multiplex mass-cytometry (CyTOF) , 2015, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[110]  Eli R. Zunder,et al.  Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm , 2015, Nature Protocols.

[111]  M. Jeffries,et al.  Autoimmune disease in the epigenetic era: how has epigenetics changed our understanding of disease and how can we expect the field to evolve? , 2015, Expert review of clinical immunology.

[112]  E. Newell,et al.  Multiplexed Peptide-MHC Tetramer Staining with Mass Cytometry. , 2015, Methods in molecular biology.

[113]  H. Maecker,et al.  Multiparameter Phenotyping of Human PBMCs Using Mass Cytometry. , 2015, Methods in molecular biology.

[114]  H. Moutsopoulos,et al.  Sjögren's syndrome. , 2019, Annual review of pathology.

[115]  Sean C. Bendall,et al.  Conditional density-based analysis of T cell signaling in single-cell data , 2014, Science.

[116]  D. Hedley,et al.  Identification of hypoxic cells using an organotellurium tag compatible with mass cytometry. , 2014, Angewandte Chemie.

[117]  B. Becher,et al.  Multiple sclerosis-associated IL2RA polymorphism controls GM-CSF production in human TH cells , 2014, Nature Communications.

[118]  Stuart B. Goodman,et al.  Clinical recovery from surgery correlates with single-cell immune signatures , 2014, Science Translational Medicine.

[119]  L. Sedger,et al.  TNF and TNF-receptors: From mediators of cell death and inflammation to therapeutic giants - past, present and future. , 2014, Cytokine & growth factor reviews.

[120]  Hyun-Dong Chang,et al.  IL-17 and GM-CSF Expression Are Antagonistically Regulated by Human T Helper Cells , 2014, Science Translational Medicine.

[121]  R. Tibshirani,et al.  Automated identification of stratifying signatures in cellular subpopulations , 2014, Proceedings of the National Academy of Sciences.

[122]  Jeffrey A. Wiser,et al.  ImmPort: disseminating data to the public for the future of immunology , 2014, Immunologic Research.

[123]  Sean C. Bendall,et al.  Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development , 2014, Cell.

[124]  Jeff Skinner,et al.  Characterizing and Diminishing Autofluorescence in Formalin-fixed Paraffin-embedded Human Respiratory Tissue , 2014, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[125]  J. Buhmann,et al.  Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry , 2014, Nature Methods.

[126]  Sean C. Bendall,et al.  Multiplexed ion beam imaging of human breast tumors , 2014, Nature Medicine.

[127]  Evan W. Newell,et al.  Beyond model antigens: high-dimensional methods for the analysis of antigen-specific T cells , 2014, Nature Biotechnology.

[128]  Mark M Davis,et al.  Combinatorial tetramer staining and mass cytometry analysis facilitate T-cell epitope mapping and characterization , 2013, Nature Biotechnology.

[129]  Qing Li,et al.  Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue , 2013, Proceedings of the National Academy of Sciences.

[130]  Sean C. Bendall,et al.  viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia , 2013, Nature Biotechnology.

[131]  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.

[132]  A. Sisó-Almirall,et al.  Punctal occlusion in Sjögren's syndrome needs clarification , 2012, Nature Reviews Rheumatology.

[133]  Josef Spidlen,et al.  FlowRepository: A resource of annotated flow cytometry datasets associated with peer‐reviewed publications , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[134]  Karen Sachs,et al.  Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators , 2012, Nature Biotechnology.

[135]  Michael Y. Gerner,et al.  Histo-cytometry: a method for highly multiplex quantitative tissue imaging analysis applied to dendritic cell subset microanatomy in lymph nodes. , 2012, Immunity.

[136]  Matthew R Clutter,et al.  Single‐cell mass cytometry adapted to measurements of the cell cycle , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[137]  Sean C. Bendall,et al.  A deep profiler's guide to cytometry. , 2012, Trends in immunology.

[138]  Erin F. Simonds,et al.  A platinum‐based covalent viability reagent for single‐cell mass cytometry , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[139]  R. Nussenblatt,et al.  Standardizing immunophenotyping for the Human Immunology Project , 2012, Nature Reviews Immunology.

[140]  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.

[141]  Sean C. Bendall,et al.  Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE , 2011, Nature Biotechnology.

[142]  Sean C. Bendall,et al.  Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum , 2011, Science.

[143]  M. Cancro,et al.  A B-cell subset uniquely responsive to innate stimuli accumulates in aged mice. , 2011, Blood.

[144]  Greg Finak,et al.  Optimizing transformations for automated, high throughput analysis of flow cytometry data , 2010, BMC Bioinformatics.

[145]  Mohsen Soleimani,et al.  Synthesis of a functional metal-chelating polymer and steps toward quantitative mass cytometry bioassays. , 2010, Analytical chemistry.

[146]  Dmitry Bandura,et al.  Highly multiparametric analysis by mass cytometry. , 2010, Journal of immunological methods.

[147]  P. Chattopadhyay,et al.  Good cell, bad cell: Flow cytometry reveals T‐cell subsets important in HIV disease , 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[148]  Nikesh Kotecha,et al.  Web‐Based Analysis and Publication of Flow Cytometry Experiments , 2010, Current protocols in cytometry.

[149]  J. Drijfhout,et al.  Epitope spreading of the anti-citrullinated protein antibody response occurs before disease onset and is associated with the disease course of early arthritis , 2010, Annals of the rheumatic diseases.

[150]  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.

[151]  Mark M Davis,et al.  A prescription for human immunology. , 2008, Immunity.

[152]  Shannon McWeeney,et al.  MIFlowCyt: The minimum information about a flow cytometry experiment , 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[153]  O. Ornatsky,et al.  Development of analytical methods for multiplex bio-assay with inductively coupled plasma mass spectrometry. , 2008, Journal of analytical atomic spectrometry.

[154]  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.

[155]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[156]  Guohua Zhang,et al.  Polymer-based elemental tags for sensitive bioassays. , 2007, Angewandte Chemie.

[157]  Mario Roederer,et al.  A new “Logicle” display method avoids deceptive effects of logarithmic scaling for low signals and compensated data , 2006, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[158]  M. V. von Herrath,et al.  Lost in translation , 2005, The Journal of experimental medicine.

[159]  C Bruce Bagwell,et al.  Hyperlog—A flexible log‐like transform for negative, zero, and positive valued data , 2005, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[160]  P. Chattopadhyay,et al.  Seventeen-colour flow cytometry: unravelling the immune system , 2004, Nature Reviews Immunology.

[161]  A. Haase,et al.  Cutting Edge: In Situ Tetramer Staining of Antigen-Specific T Cells in Tissues1 , 2000, The Journal of Immunology.

[162]  C. Werning.  [Rheumatoid arthritis]. , 1983, Medizinische Monatsschrift fur Pharmazeuten.

[163]  R. Sokal,et al.  A New Statistical Approach to Geographic Variation Analysis , 1969 .