| Type: | Package | 
| Title: | Profiling of Peripheral Blood Mononuclear Cells using CyTOF | 
| Version: | 0.1.1 | 
| Depends: | R (≥ 3.1.0) | 
| Suggests: | ggplot2, cytofan, dplyr, reshape2, RColorBrewer, knitr, rmarkdown | 
| 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. | 
| License: | CC0 | 
| Encoding: | UTF-8 | 
| LazyData: | TRUE | 
| LazyDataCompression: | xz | 
| URL: | https://github.com/yannabraham/bodenmiller | 
| BugReports: | https://github.com/yannabraham/bodenmiller/issues | 
| VignetteBuilder: | knitr | 
| RoxygenNote: | 7.1.1 | 
| NeedsCompilation: | no | 
| Packaged: | 2021-04-11 14:20:25 UTC; ayann | 
| Author: | Yann Abraham [aut, cre], Bernd Bodenmiller [aut] | 
| Maintainer: | Yann Abraham <yann.abraham@gmail.com> | 
| Repository: | CRAN | 
| Date/Publication: | 2021-04-11 15:20:06 UTC | 
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 - refPhenoMator- 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:
- Sourcethe name of the source (fcs) file 
- Treatmentthe treatment for the corresponding row in - refPhenoMator- refFuncMat
- Cellsthe cell type for the corresponding row in - refPhenoMator- refFuncMat
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