Package 'bodenmiller'

Title: Profiling of Peripheral Blood Mononuclear Cells using CyTOF
Description: This data package contains a subset of the Bodenmiller et al, Nat Biotech 2012 dataset for testing single cell, high dimensional analysis and visualization methods.
Authors: Yann Abraham [aut, cre], Bernd Bodenmiller [aut]
Maintainer: Yann Abraham <[email protected]>
License: CC0
Version: 0.1.1
Built: 2025-03-05 05:18:09 UTC
Source: https://github.com/yannabraham/bodenmiller

Help Index


Reference Annotation

Description

A data.frame containing the source file and cell type for every cell in refPhenoMat and refFuncMat. See Bodenmiller et al 2012 for details.

Usage

refAnnots

Format

a data.frame with 15792 rows and 2 variables:

  • Sourcethe name of the source (fcs) file

  • Cellsthe cell type for the corresponding row in refPhenoMat or refFuncMat

Source

https://reports.cytobank.org/105/v2/


Reference Matrix (Functional)

Description

a matrix containing the signal intensity for functional markers measured using CyTOF on different cell types. See Bodenmiller et al 2012 for details.

Usage

refFuncMat

Format

a matrix with 15792 rows and 14 variables:

  • pStat1

  • pSlp76

  • pBtk

  • pPlcg2

  • pErk

  • pLat

  • pS6

  • pNFkB

  • pp38

  • pStat5

  • pAkt

  • pSHP2

  • pZap70

  • pStat3

Source

https://reports.cytobank.org/105/v2/


Reference Matrix (Phenotypic)

Description

a matrix containing the signal intensity for phenotypic markers measured using CyTOF on different cell types. See Bodenmiller et al 2012 for details.

Usage

refPhenoMat

Format

a matrix with 15792 rows and 9 variables:

  • CD20

  • IgM

  • CD4

  • CD33

  • HLA-DR

  • CD14

  • CD7

  • CD3

  • CD123

Source

https://reports.cytobank.org/105/v2/


Untreated Samples with 4 Different Treatments (Annotation)

Description

A data.frame containing the source file, cell type and stimulation for every cell in refPhenoMat and refFuncMat. Stimulations include BCR/FcR-XL, PMA/Ionomycin and vanadate.See Bodenmiller et al 2012 for details.

Usage

untreatedAnnots

Format

a data.frame with 15792 rows and 2 variables:

Source

https://reports.cytobank.org/105/v2/


Untreated Samples with 4 Different Treatments (Functional)

Description

a matrix containing the signal intensity for functional markers measured using CyTOF on different cell types, after stimulation with BCR/FcR-XL, PMA/Ionomycin and vanadate. See Bodenmiller et al 2012 for details.

Usage

untreatedFuncMat

Format

a matrix with 15792 rows and 14 variables:

  • pStat1

  • pSlp76

  • pBtk

  • pPlcg2

  • pErk

  • pLat

  • pS6

  • pNFkB

  • pp38

  • pStat5

  • pAkt

  • pSHP2

  • pZap70

  • pStat3

Source

https://reports.cytobank.org/105/v2/


Untreated Samples with 4 Different Treatments (Phenotypic)

Description

a matrix containing the signal intensity for phenotypic markers measured using CyTOF on different cell types, after stimulation with BCR/FcR-XL, PMA/Ionomycin and vanadate. See Bodenmiller et al 2012 for details.

Usage

untreatedPhenoMat

Format

a matrix with 15792 rows and 9 variables:

  • CD20

  • IgM

  • CD4

  • CD33

  • HLA-DR

  • CD14

  • CD7

  • CD3

  • CD123

Source

https://reports.cytobank.org/105/v2/