Category: Irish Lab

  • Published: Roussel et al., J Leuko Bio 2017

    Published: Roussel et al., J Leuko Bio 2017

    Congratulations Mikael Roussel and co-authors on the publication and the cover! Roussel M*, Ferrell PB, Greenplate AR, Lhomme F, Le Gallou S, Diggins KE, Johnson DB, Irish JM*. Mass cytometry deep phenotyping of human mononuclear phagocytes and myeloid-derived suppressor cells from human blood and bone marrow. Journal of Leukocyte Biology 2017 Aug;102(2):437-447. PMID: 28400539. PMCID […]

  • Published: Diggins et al., Nature Methods 2017

    Published: Diggins et al., Nature Methods 2017

    Congratulations to Kirsten Diggins and co-authors! Diggins KE, Greenplate AR, Leelatian N, Wogsland CE, Irish JM. Characterizing cell subsets in heterogeneous tissues using marker enrichment modeling. Nature Methods PMC5330853. Pubmed. DOI. ► This peer-reviewed methods research followed Diggins et al., Methods 2015 and created a new algorithm for machine learning cell identity and coined the term […]

  • Published: Leelatian and Doxie et al., Cytometry B 2017

    Congratulations to Nalin Leelatian and Deon Doxie, co-first authors, and our collaborators on this publication!  Updates: This manuscript was selected as the “Editor’s Best” by Cytometry B for 2016-2017!  Congratulations!  Nalin Leelatian has been invited to give a presentation on this work at the European Society for Clinical Cell Analysis (ESCCA) 2017 meeting in Thessaloniki, Greece in September […]

  • Published: Greenplate et al., Euro J Cancer 2016

    Congratulations to Allison Greenplate and co-authors! Greenplate AR, Johnson DB, Ferrell PB, Irish JM. Systems immune monitoring in cancer therapy. European Journal of Cancer 2016. PMC4885747. Pubmed.  DOI. ► This peer-reviewed review described the clinical cancer research advantages of combining systems immunology and human immune monitoring approaches using mass cytometry and machine learning. Figures from […]

  • Published: Greenplate et al., Cancer Immunology Research 2016

    Congratulations to Allison Greenplate & Brent Ferrell (co-corresponding) and co-authors on this publication! Greenplate AR, Johnson DB, Roussel M, Savona MR, Sosman JA, Puzanov I, Ferrell PB*, Irish JM*. Myelodysplastic Syndrome Revealed by Systems Immunology in a Melanoma Patient Undergoing Anti–PD-1 Therapy, Cancer Immunology Research  2016. PMC4891280. Pubmed. DOI. *Co-corresponding. ► This peer-reviewed research study describes a […]

  • Published: Ferrell et al., PLOS One 2016

    Congratulations to Brent Ferrell and co-authors on this publication! Ferrell PB, Diggins KE, Polikowsky HG, Mohan SR, Seegmiller AC, Irish JM. High-dimensional analysis of acute myeloid leukemia reveals phenotypic changes in persistent cells during induction therapy. PLOS One 2016 Apr 13;11(4). PMC4830605. Pubmed. DOI. ► This peer-reviewed research study was the first to use mass […]

  • Published: Roussel et al., Human Innate Immunity 2016

    Congratulations to Mikael Roussel and Allison Greenplate on this publication! Updates: Our animation of t-SNE/viSNE was selected for the book cover! The chapter introduces key ideas for Mikael’s peer-reviewed publication on myeloid cell biology, Roussel et al., Journal of Leukocyte Biology 2017. Roussel M, Greenplate AG, Irish JM. Dissecting complex cellular systems with high dimensional single […]

  • Published: Polikowsky et al., Journal of Immunology 2015

    Congratulations to Hannah Polikowsky, Kanutte Huse (co-corresponding), and co-authors on this publication! Polikowsky HG, Wogsland CE, Diggins KE, Huse K*, Irish JM*. Redox signaling hypersensitivity distinguishes human germinal center B cells. Journal of Immunology  2015. Pubmed. DOI. ► This peer-reviewed immunology research used phospho-specific flow cytometry and high-dimensional mass cytometry (CyTOF) to compare signaling responses in […]

  • Published: Diggins et al., Methods 2015

    Congratulations to Kirsten Diggins and Brent Ferrell on this publication! Diggins KE, Ferrell PB, Irish JM. Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data. Methods 2015. PMC4468028. Pubmed. DOI. ► This peer-reviewed methods development research described an automated, modular workflow for unsupervised mass cytometry data analysis based on t-SNE/viSNE, clustering, […]

  • Published: Irish, Nature Immunology 2014

    Irish JM. Beyond the age of cellular discovery. Nature Immunology 2014 Nov 14. Pubmed. DOI. ► This News & Views introduced the landmark Becher et al., Nature Immunology 2014 study and discussed how tools like single cell mass cytometry and machine learning are combining to reveal global information about cell identity for a cytomic Information […]