Hyperion Imaging System Publications

Browse our catalog of Hyperion™ Imaging System-related publications to see how Imaging Mass Cytometry™ systems from Fluidigm empower researchers to make breakthrough discoveries.

• Overview

  Number of papers per research area as of October, 2021

  Number of cumulative papers as of October, 2021

• Recent

  • A single-cell atlas of the tumor and immune ecosystem of human breast cancer
    Wagner, J., Rapsomaniki, M.A., Chevrier, S. et al. Cell (2019): 1,330-45
  • Human lymphoid organ cDC2 and macrophages play complementary roles in T follicular helper responses
    Durand, M., Walter, T., Pirnay, T. et al. Journal of Experimental Medicine (2019): 1,561-1,581
  • TePhe, a tellurium-containing phenylalanine mimic, allows monitoring of protein synthesis in vivo with mass cytometry
    Bassan, J., Willis, L.M. Vellanki, R.N. et al. Proceedings of the National Academy of Sciences (2019): doi: 10.1073/pnas.1821151116
  • Lymphocyte mass cytometry identifies a CD3–CD4+ cell subset with a potential role in psoriasis
    Guo, R., Zhang, T., Meng, X. et al. JCI Insight (2019): 125,306
  • Multiplexed (18-plex) measurement of signaling targets and cytotoxic T cells in trastuzumab-treated patients using Imaging Mass Cytometry
    Carvajal-Hausdorf, D.E., Patsenker, J., Stanton, K.P. et al. Clinical Cancer Research (2019): 3,054–62

• Research Areas

  • Data Analysis Methods

    • ImaCytE: Visual exploration of cellular microenvironments for Imaging Mass Cytometry data
      Somarakis, A., van Unen, V., Koning, F. et al. IEEE Transactions on Visualization and Computer Graphics (2019): 98–110
    • Methods for analyzing tellurium Imaging Mass Cytometry data
      Bassan, J. and Nitz, M. PLoS One (2019): e0221714
    • histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data
      Schapiro, D., Jackson, H.W., Raghuraman, S. et al. Nature Methods (2017): 873–6
    • Compensation of signal spillover in suspension and Imaging Mass Cytometry
      Chevrier, S., Crowell, H.L., Zanotelli, V.R.T. et al. Cell Systems (2018): 612–20
    • Automatic single cell segmentation on highly multiplexed tissue images
      Schüffler, P.J., Schapiro, D., Giesen, C. et al. Cytometry, Part A; (2015): 936–42

  • Immuno-oncology

    • Multiplexed (18-plex) measurement of signaling targets and cytotoxic T cells in trastuzumab-treated patients using Imaging Mass Cytometry
      Carvajal-Hausdorf, D.E., Patsenker, J., Stanton, K.P. et al. Clinical Cancer Research (2019): 3,054–62
    • The potential application of PD1 blockade therapy for early stage biliary tract cancer
      Umemoto, K., Togashi, Y., Arai, Y. et al. International Immunology (2019): 273–81
    • Molecular MRI of the immuno-metabolic interplay in a rabbit liver tumor model: a biomarker for resistance mechanisms in tumor-targeted therapy?
      Savic, L.J., Doemel, L.A., Schobert, I.T. et al. Radiology (2020): 575–83
    • Tumor-infiltrating mast cells are associated with resistance to anti-PD-1 therapy
      Somasundaram, R., Connelly, T., Choi, R. et al. Nature Communications (2021): 346
    • Biomarker discovery in immunotherapy-treated melanoma patients with Imaging Mass Cytometry
      Martinez-Morilla, S., Villarroel-Espindola, F., Wong, P.F. et al. Clinical Cancer Research (2021): 1,987–96
    • High-throughput proteomic profiling reveals mechanisms of action of AMG925, a dual FLT3-CDK4/6 kinase inhibitor targeting AML and AML stem/progenitor cells
      Zeng, Z., Ly, C., Daver, N. et al. Annals of Hematology (2021): 1,485–96
    • Expression analysis and significance of PD-1, LAG-3, and TIM-3 in human non-small cell lung cancer using spatially resolved and multiparametric single-cell analysis
      Datar, I., Sanmamed, M.F., Wang, J. et al. Clinical Cancer Research (2019): 4663–73
    • Immune activation underlies a sustained clinical response to Yttrium-90 radioembolisation in hepatocellular carcinoma
      Chew, V., Lee, Y.H., Nasir, N.J.M. et al. Gut (2018): 335–46
    • Switchable CAR-T cells mediate remission in metastatic pancreatic ductal adenocarcinoma
      Raj, D., Yang, M.H., Rodgers, D. et al. Gut (2018): 1052–64

  • Immunology

    • Opposing roles of dendritic cell subsets in experimental GN
      Brähler, S., Zinselmeyer, B.H., Raju, S. et al. Journal of the American Society of Nephrology (2018): 138–54
    • Spatiotemporal segregation of human marginal zone and memory B cell populations in lymphoid tissue
      Zhao, Y., Uduman, M., Siu, J.H.Y. et al. Nature Communications (2018): 3,857
    • Development of a 2-dimensional atlas of the human kidney with Imaging Mass Cytometry
      Singh, N., Avigan, Z.M., Kliegel, J.A. et al. JCI Insight (2019): e129477
    • Highly multiplexed Imaging Mass Cytometry allows visualization of tumor and immune cell interactions of the tumor microenvironment in FFPE tissue sections
      Singh, M., Chaudhry, P., Gerdtsson, E. et al. Blood (2017): 2,751
    • Memory CD4+ T cells are generated in the human fetal intestine
      Li, N., van Unen, V., Abdelaal, T. et al. Nature Immunology (2019): 301–12

  • Immunophenotyping

    • High-Dimensional Single-Cell Mapping of Central Nervous System Immune Cells Reveals Distinct Myeloid Subsets in Health, Aging, and Disease
      Mrdjen, D., Pavlovic, A., Hartmann, F.J. et al. Immunity (2018): 380–95
    • Lymphocyte mass cytometry identifies a CD3–CD4+ cell subset with a potential role in psoriasis
      Guo, R., Zhang, T., Meng, X. et al. JCI Insight (2019): 125,306

  • Infectious Disease/Microbiology

    • A distinct innate immune signature marks progression from mild to severe COVID-19
      Wang, C., Xu, J., Wang, S. Frontiers in Microbiology (2021): doi.org/10.3389/fmicb.2020.600989
    • Inflammatory response cells during acute respiratory distress syndrome in patients with coronavirus disease 2019 (COVID-19)
      Zhang, Y., Gao, Y., Qiao, L. Annals of Internal Medicine (2020): doi: 10.7326/L20-0227
    • Aedes aegypti AgBR1 antibodies modulate early Zika virus infection of mice
      Uraki, R., Hastings, A.K., Marin-Lopez, A. et al. Nature Microbiology (2019): 948-955

  • Liquid Biopsy

    • Multiplex protein detection on circulating tumor cells from liquid biopsies using Imaging Mass Cytometry
      Gerdtsson, E., Pore, M., Thiele, J.A. et al. Convergent Science Physical Oncology (2018): 015002

  • Method Development

    • Multidimensional profiling of drug‐treated cells by Imaging Mass Cytometry
      Bouzekri, A., Esch, A., and Ornatsky, O. FEBS Open Bio (2019): 1,652–69
    • DNA-conjugated gold nanoparticles as high-mass probes in Imaging Mass Cytometry
      Malile, B., Brkic, J., Bouzekri, A. et al. ACS Applied Bio Materials (2019): 4,316–23
    • Highly stable and inert complexation of indium(III) by reinforced cyclam dipicolinate and a bifunctional derivative for bead encoding in mass cytometry
      Grenier, L., Beyler, M., Platas-Iglesias, C. et al. Chemistry (2019): 15,387–400
    • Clickable and high-sensitivity metal-containing tags for mass cytometry
      Allo, B., Lou, X., Bouzekri, A., Ornatsky, O. Bioconjugate Chemistry (2018): 2,028–38
    • Method to investigate the distribution of water-soluble drug-delivery systems in fresh frozen tissues using Imaging Mass Cytometry
      Strittmatter, N., England, R.M., Race, A.M. Analytical Chemistry (2021): DOI: 10.1021/acs.analchem.0c03908
    • A systematic comparison of in vitro cell uptake and in vivo biodistribution for three classes of gold nanoparticles with saturated PEG coatings
      Zhang, Y., Liu, A. T., Cornejo, Y. R. PLOS One (2020): doi.org/10.1371/journal.pone.0234916
    • Rare osteosarcoma cell subpopulation protein array and profiling using Imaging Mass Cytometry and bioinformatics analysis
      Batth, I.S., Meng, Q., Torres, K. E. BMC Cancer (2020): doi: 10.1186/s12885-020-07203-7
    • Metal-labeled aptamers as novel nanoprobes for Imaging Mass Cytometry analysis
      Yu, Y., Dang, J., Liu, X. Analytical Chemistry (2020): doi: 10.1021/acs.analchem.9b05159
    • A 34-Marker Panel for Imaging Mass Cytometric Analysis of Human Snap-Frozen Tissue
      Guo, N., Unen, V.V, Ijsselsteijn, M.E. Frontiers in Immunology (2020): doi.org/10.3389/fimmu.2020.01466
    • Signal amplification for Imaging Mass Cytometry
      Rana, R., Gómez-Biagi, R.F., Bassan, J., et al. Bioconjugate Chemistry (2019): 2,805-2,810
    • Analytical figures of merit for a novel tissue imaging system
      Straus, R.N., Carew, A., Sandkujil, D. et al. Journal of Analytical Atomic Spectrometry (2017): 1,044–51
    • Imaging Mass Cytometry
      Chang, Q., Ornatsky, O.I., Siddiqui, I. et al. Cytometry Part A (2017): 160–9
    • Ruthenium Counterstaining for Imaging Mass Cytometry
      Catena, R., Montuenga, L.M., Bodenmiller, B. Journal of Pathology (2018): 479–84
    • TePhe, a tellurium-containing phenylalanine mimic, allows monitoring of protein synthesis in vivo with mass cytometry
      Bassan, J., Willis, L.M. Vellanki, R.N. et al. Proceedings of the National Academy of Sciences (2019): doi: 10.1073/pnas.1821151116
    • Isotopologous Organotellurium Probes Reveal Dynamic Hypoxia In Vivo with Cellular Resolution
      Edgar, L.J., Vellanki, R.N., McKee, T.D. et al Angewandte Chemie International Edition (2016): 13,159–63
    • Mass Spectrometry Imaging and Integration with Other Imaging Modalities for Greater Molecular Understanding of Biological Tissues
      Porta Siegel, T., Hamm, G., Bunch, J. et al. Molecular Imaging and Technology (2018): 888-901
    • Simultaneous Detection of Protein and mRNA in Jurkat and KG-1a Cells by Mass Cytometry
      Mavropoulos, A., Allo, B., He, M. et al. Cytometry Part A (2017): 1,200–8
    • Staining of frozen and formalin-fixed, paraffin-embedded tissues with metal-labeled antibodies for Imaging Mass Cytometry analysis
      Chang, Q., Ornatsky, O., Hedley, D. Current Protocols in Cytometry (2017): 12.47.1–12.47.8
    • Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry
      Giesen, C., Wang, H.A., Schapiro, D. et al. Nature Methods (2014): 417–22

  • Neurology

    • The landscape of myeloid and astrocyte phenotypes in acute multiple sclerosis lesions
      Park, C., Ponath, G., Levine-Ritterman, M. et al. Acta Neuropathologica Communications (2019): 130

  • Oncology

    • Clonal diversity revealed by morphoproteomic and copy number profiles of single prostate cancer cells at diagnosis
      Malihi, P.D., Morikado, M., Welter, L. et al. Convergent Science Physical Oncology (2018): 015003
    • Simultaneous multiplexed imaging of mRNA and proteins with subcellular resolution in breast cancer tissue samples by mass cytometry
      Schulz, D., Zanotelli, V.R.T., Fischer, J.R. et al. Cell Systems (2018): 25–36.e5
    • Cross-species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts
      Elyada, E., Bolisetty, M., Laise, P. et al. Cancer Discovery (2019): 1,102–23
    • Immunocyte profiling using single-cell mass cytometry reveals EpCAM+ CD4+ T cells abnormal in colon cancer
      Zhang, T., Lv, J., Tan, Z. et al. Frontiers in Immunology (2019): 1571
    • Imaging Mass Cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer
      Ali, H.R., Jackson, H.W., Zanotelli, V.R.T. et al. Nature Cancer (2020): 163–75.
    • Systemic dysfunction and plasticity of the immune macro environment in cancer models
      Allen, B.M., Hiam, K.J., Burnett, C.E. et al. Nature Medicine (2020): 1,125–34
    • Single-cell transcriptome analysis reveals disease-defining T-cell subsets in the tumor microenvironment of classic Hodgkin lymphoma
      Aoki, T., Chong, L.C.,Takata, K. et al. Cancer Discovery (2020): 406–21
    • Characterization of an aggregated three-dimensional cell culture model by multimodal mass spectrometry imaging
      Flint, L.E., Hamm, G., Ready, J.D. et al. Analytical Chemistry (2020): 12,538–47
    • Uncovering differently expressed markers and heterogeneity on human pancreatic cancer
      Yoon, S., Li, H., Quintanar, L. et al. Translational Oncology (2020): 100749
    • Cadherin 11 promotes immunosuppression and extracellular matrix deposition to support growth of pancreatic tumors and resistance to gemcitabine in mice
      Peran, I., Dakshanamurthy, S., McCoy, M.D. et al. Gastroenterology (2021): 1359–1372.e13
    • Hyperion Imaging System reveals heterogeneous tumor microenvironment of oral squamous cell carcinoma patients at T1N0M0 stage
      Xie, S., Shan, X.F., Yau, V. et al. Annals of Translational Medicine (2020): 1513
    • Large extracellular vesicle characterization and association with circulating tumor cells in metastatic castrate resistant prostate cancer
      Gerdtsson, A.S., Setayesh, S.M., Malihi, P.D. et al. Cancers (2021): 1056
    • Cancer-associated fibroblasts promote immunosuppression by inducing ROS-generating monocytic MDSCs in lung squamous cell carcinoma
      Xiang, H., Ramil, C.P., Hai, J. Cancer Immunology Research (2020): 436-450
    • The single-cell pathology landscape of breast cancer
      Jackson, H.W., Fischer, J.R., Zanotelli, V.R. et al. Nature (2020): 615-620.
    • Skin platinum deposition in colorectal cancer patients following oxaliplatin-based therapy
      Cao, Y., Chang, Q., Zhang, W. et al. Cancer Chemotherapy and Pharmacology (2019): 1-6
    • Biodistribution of cisplatin revealed by imaging mass cytometry identifies extensive collagen binding in tumor and normal tissues
      Chang, Q., Ornatsky, O.I., Siddiqui, I. et al. Scientific Reports (2016): 36,641

  • Review

    • Research Techniques Made Simple: Use of Imaging Mass Cytometry for Dermatological Research and Clinical Applications
      Veenstra, J., Dimitrion, P. Yao, Y. Journal of Investigative Dermatology (2021): doi.org/10.1016/j.jid.2020.12.008
    • The use and limitations of single‐cell mass cytometry for studying human microglia function
      Fernández‐Zapata, C., Leman, J. K. H., Priller, J. Brain Pathology (2020): doi.org/10.1111/bpa.12909
    • Deciphering immunity at high plexity and resolution
      Domínguez Conde, C. and Teichmann, S. Nature Reviews Immunology (2019): 77-78
    • The islets of Langerhans continue to reveal their secrets
      Bonner-Wei, S. Nature Reviews Endocrinology (2019): 73-74
    • Mass cytometry imaging for the study of human diseases – applications and data analysis strategies
      Baharlou, H., Canete, N.P., Cunningham, A.L. et al. Frontiers in Immunology (2019): doi: 10.3389/fimmu.2019.02657
    • The reconstructed natural history of type 1 diabetes mellitus
      Pozzilli, P. and Signore, A. Nature Reviews Endocrinology (2019): 256-257
    • Considerations for immunohistochemistry
      Balaji, S., Li, H., Steen, E. et al. Success in Academic Surgery: Basic Science (2019): 105-144
    • The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes
      Nakayasu, E.S., Qian, W.J., Evans-Molina, C. et al. Expert Review of Proteomics (2019): 569-582

  • Stem Cell

    • Human lymphoid organ cDC2 and macrophages play complementary roles in T follicular helper responses
      Durand, M., Walter, T., Pirnay, T. et al. Journal of Experimental Medicine (2019): 1,561-1,581

  • Other

    • Decoding mitochondrial heterogeneity in single muscle fibres by Imaging Mass Cytometry
      Warren, C., McDonald, D., Capaldi, R. Scientific Reports (2021): doi.org/10.1038/s41598-020-70885-3
    • Smooth muscle cell reprogramming in aortic aneurysms
      Chen, P.-Y., Qin, L., Li, G. et al. Cell Stem Cell (2020): 542-557.
    • Multiplexed imaging of immune cells in staged multiple sclerosis lesions by mass cytometry
      Ramaglia, V., Sheikh-Mohamed, S., Legg, K. et al. eLife (2019): e48051
    • A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry
      Damond, N., Engler, S., Zanotelli, V.R.T. et al. Cell Metabolism (2019): doi: 10.1016/j.cmet.2018.11.014
    • Imaging Mass Cytometry and single-cell genomics reveals differential depletion and repletion of B-cell populations following ofatumumab treatment in cynomolgus monkeys
      Theil,D., Smith,P., Huck, C. et al. Frontiers in Immunology (2019): 1,340
    • Multiplexed in situ Imaging Mass Cytometry analysis of the human endocrine pancreas and immune system in type 1 diabetes
      Wang, Y.J., Traum, D., Schug, J. et al. Cell Metabolism (2019): doi: 10.1016/j.cmet.2019.01.003