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Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm.
Zunder, Eli R; Finck, Rachel; Behbehani, Gregory K; Amir, El-Ad D; Krishnaswamy, Smita; Gonzalez, Veronica D; Lorang, Cynthia G; Bjornson, Zach; Spitzer, Matthew H; Bodenmiller, Bernd; Fantl, Wendy J; Pe'er, Dana; Nolan, Garry P.
Afiliação
  • Zunder ER; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Finck R; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Behbehani GK; 1] Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA. [2] Divisions of Hematology and Oncology, Stanford University School of Medicine, Stanford, California, USA.
  • Amir el-AD; Department of Biological Sciences, Department of Systems Biology, Columbia University, New York, New York, USA.
  • Krishnaswamy S; Department of Biological Sciences, Department of Systems Biology, Columbia University, New York, New York, USA.
  • Gonzalez VD; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Lorang CG; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Bjornson Z; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Spitzer MH; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Bodenmiller B; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Fantl WJ; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Pe'er D; Department of Biological Sciences, Department of Systems Biology, Columbia University, New York, New York, USA.
  • Nolan GP; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Nat Protoc ; 10(2): 316-33, 2015 Feb.
Article em En | MEDLINE | ID: mdl-25612231
Mass-tag cell barcoding (MCB) labels individual cell samples with unique combinatorial barcodes, after which they are pooled for processing and measurement as a single multiplexed sample. The MCB method eliminates variability between samples in antibody staining and instrument sensitivity, reduces antibody consumption and shortens instrument measurement time. Here we present an optimized MCB protocol. The use of palladium-based labeling reagents expands the number of measurement channels available for mass cytometry and reduces interference with lanthanide-based antibody measurement. An error-detecting combinatorial barcoding scheme allows cell doublets to be identified and removed from the analysis. A debarcoding algorithm that is single cell-based rather than population-based improves the accuracy and efficiency of sample deconvolution. This debarcoding algorithm has been packaged into software that allows rapid and unbiased sample deconvolution. The MCB procedure takes 3-4 h, not including sample acquisition time of ∼1 h per million cells.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article