BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

187 related articles for article (PubMed ID: 25908275)

  • 1. Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data.
    Lin L; Frelinger J; Jiang W; Finak G; Seshadri C; Bart PA; Pantaleo G; McElrath J; DeRosa S; Gottardo R
    Cytometry A; 2015 Jul; 87(7):675-82. PubMed ID: 25908275
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, part 2: biological evaluation.
    Mosmann TR; Naim I; Rebhahn J; Datta S; Cavenaugh JS; Weaver JM; Sharma G
    Cytometry A; 2014 May; 85(5):422-33. PubMed ID: 24532172
    [TBL] [Abstract][Full Text] [Related]  

  • 3. OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis.
    Finak G; Frelinger J; Jiang W; Newell EW; Ramey J; Davis MM; Kalams SA; De Rosa SC; Gottardo R
    PLoS Comput Biol; 2014 Aug; 10(8):e1003806. PubMed ID: 25167361
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quantitative Comparison of Conventional and t-SNE-guided Gating Analyses.
    Toghi Eshghi S; Au-Yeung A; Takahashi C; Bolen CR; Nyachienga MN; Lear SP; Green C; Mathews WR; O'Gorman WE
    Front Immunol; 2019; 10():1194. PubMed ID: 31231371
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparative exploration of multidimensional flow cytometry software: a model approach evaluating T cell polyfunctional behavior.
    Spear TT; Nishimura MI; Simms PE
    J Leukoc Biol; 2017 Aug; 102(2):551-561. PubMed ID: 28550117
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Overnight resting of PBMC changes functional signatures of antigen specific T- cell responses: impact for immune monitoring within clinical trials.
    Kutscher S; Dembek CJ; Deckert S; Russo C; Körber N; Bogner JR; Geisler F; Umgelter A; Neuenhahn M; Albrecht J; Cosma A; Protzer U; Bauer T
    PLoS One; 2013; 8(10):e76215. PubMed ID: 24146841
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detection of Intracellular Cytokines by Flow Cytometry.
    Yin Y; Mitson-Salazar A; Prussin C
    Curr Protoc Immunol; 2015 Aug; 110():6.24.1-6.24.18. PubMed ID: 26237012
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Quantification and characterization of specific T-cells by antigen-specific cytokine production using ELISPOT assay or intracellular cytokine staining.
    Letsch A; Scheibenbogen C
    Methods; 2003 Oct; 31(2):143-9. PubMed ID: 12957572
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Detection of antigen-specific T cells based on intracellular cytokine staining using flow-cytometry.
    Schmidt T; Sester M
    Methods Mol Biol; 2013; 1064():267-74. PubMed ID: 23996264
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.
    Aghaeepour N; Chattopadhyay P; Chikina M; Dhaene T; Van Gassen S; Kursa M; Lambrecht BN; Malek M; McLachlan GJ; Qian Y; Qiu P; Saeys Y; Stanton R; Tong D; Vens C; Walkowiak S; Wang K; Finak G; Gottardo R; Mosmann T; Nolan GP; Scheuermann RH; Brinkman RR
    Cytometry A; 2016 Jan; 89(1):16-21. PubMed ID: 26447924
    [TBL] [Abstract][Full Text] [Related]  

  • 11. RchyOptimyx: cellular hierarchy optimization for flow cytometry.
    Aghaeepour N; Jalali A; O'Neill K; Chattopadhyay PK; Roederer M; Hoos HH; Brinkman RR
    Cytometry A; 2012 Dec; 81(12):1022-30. PubMed ID: 23044634
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A cytofluorimetric assay to evaluate T cell polyfunctionality.
    Palermo B; Panetta M; Campo G; Nisticò P
    Methods Enzymol; 2020; 631():61-76. PubMed ID: 31948567
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mass Cytometry Assays for Antigen-Specific T Cells Using CyTOF.
    Lin D; Maecker HT
    Methods Mol Biol; 2018; 1678():37-47. PubMed ID: 29071674
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Elucidation of seventeen human peripheral blood B-cell subsets and quantification of the tetanus response using a density-based method for the automated identification of cell populations in multidimensional flow cytometry data.
    Qian Y; Wei C; Eun-Hyung Lee F; Campbell J; Halliley J; Lee JA; Cai J; Kong YM; Sadat E; Thomson E; Dunn P; Seegmiller AC; Karandikar NJ; Tipton CM; Mosmann T; Sanz I; Scheuermann RH
    Cytometry B Clin Cytom; 2010; 78 Suppl 1(Suppl 1):S69-82. PubMed ID: 20839340
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data.
    Cheng L; Karkhanis P; Gokbag B; Liu Y; Li L
    PLoS Comput Biol; 2022 Apr; 18(4):e1008885. PubMed ID: 35404970
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Transcriptional Profiling of CD8+ CMV-Specific T Cell Functional Subsets Obtained Using a Modified Method for Isolating High-Quality RNA From Fixed and Permeabilized Cells.
    Healy ZR; Weinhold KJ; Murdoch DM
    Front Immunol; 2020; 11():1859. PubMed ID: 32983102
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data.
    Lee AJ; Chang I; Burel JG; Lindestam Arlehamn CS; Mandava A; Weiskopf D; Peters B; Sette A; Scheuermann RH; Qian Y
    Cytometry A; 2018 Jun; 93(6):597-610. PubMed ID: 29665244
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated identification of stratifying signatures in cellular subpopulations.
    Bruggner RV; Bodenmiller B; Dill DL; Tibshirani RJ; Nolan GP
    Proc Natl Acad Sci U S A; 2014 Jul; 111(26):E2770-7. PubMed ID: 24979804
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Flow cytometric detection of antigen-specific cytokine responses in lung T cells in a murine model of pulmonary inflammation.
    Winterrowd GE; Chin JE
    J Immunol Methods; 1999 Jun; 226(1-2):105-18. PubMed ID: 10410976
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Background fluorescence and spreading error are major contributors of variability in high-dimensional flow cytometry data visualization by t-distributed stochastic neighboring embedding.
    Mazza EMC; Brummelman J; Alvisi G; Roberto A; De Paoli F; Zanon V; Colombo F; Roederer M; Lugli E
    Cytometry A; 2018 Aug; 93(8):785-792. PubMed ID: 30107099
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.