Last updated: 2022-11-30
Checks: 2 0
Knit directory:
Multimodal-Plasmacell_manuscript/
This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version c66af0e. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
Note that you need to be careful to ensure that all relevant files for
the analysis have been committed to Git prior to generating the results
(you can use wflow_publish
or
wflow_git_commit
). workflowr only checks the R Markdown
file, but you know if there are other scripts or data files that it
depends on. Below is the status of the Git repository when the results
were generated:
Ignored files:
Ignored: .Rhistory
Ignored: .Rproj.user/
Untracked files:
Untracked: analysis/cellstate_sidetest.Rmd
Untracked: analysis/hallmarks.Rmd
Untracked: analysis/supplements.Rmd
Untracked: code/Import_and_create_seuratobject.R
Untracked: data/Seq2Science/
Untracked: data/azimuth_PBMCs/
Untracked: data/azimuth_bonemarrow/
Untracked: data/citeseqcount_htseqcount.zip
Untracked: data/genelist.plots.diffmarkers.txt
Untracked: data/genelist.plots.diffmarkers2.txt
Untracked: data/raw/
Untracked: data/supplementary/
Untracked: output/MOFA_analysis_Donorgroup.hdf5
Untracked: output/MOFA_analysis_Donorgroup.rds
Untracked: output/MOFA_analysis_Donorgroup_clustered.rds
Untracked: output/extra plots.docx
Untracked: output/paper_figures/
Untracked: output/seu.PROT_fix.rds
Untracked: output/seu.PROT_live.rds
Untracked: output/seu.RNA.rds
Untracked: output/seu.fix_norm.rds
Untracked: output/seu.fix_norm_cellstate.rds
Untracked: output/seu.fix_norm_plasmacells.rds
Untracked: output/seu.live_norm.rds
Untracked: output/seu.live_norm_cellstate.rds
Untracked: output/seu.live_norm_plasmacells.rds
Untracked: output/seu.live_norm_plasmacells_RNA.rds
Untracked: output/top-PROT-loadings_IgA.tsv
Untracked: output/top-PROT-loadings_IgG.tsv
Untracked: output/top-PROT-loadings_IgM.tsv
Untracked: output/top-gene-loadings_IgA.tsv
Untracked: output/top-gene-loadings_IgG.tsv
Untracked: output/top-gene-loadings_IgM.csv
Untracked: output/top-gene-loadings_IgM.tsv
Unstaged changes:
Modified: analysis/cellstate.Rmd
Modified: code/load_packages.R
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were
made to the R Markdown (analysis/index.Rmd
) and HTML
(docs/index.html
) files. If you’ve configured a remote Git
repository (see ?wflow_git_remote
), click on the hyperlinks
in the table below to view the files as they were in that past version.
File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | c66af0e | Jessie van Buggenum | 2022-11-30 | update tabs |
html | 39141ce | Jessie van Buggenum | 2022-10-05 | Build site. |
Rmd | 4bb059d | Jessie van Buggenum | 2022-10-05 | small update text |
html | b33343c | jessievb | 2021-12-04 | Build site. |
Rmd | ba1ceb0 | jessievb | 2021-12-04 | update citation |
html | 11ef483 | jessievb | 2021-12-04 | Build site. |
Rmd | 6cadc7b | jessievb | 2021-12-04 | edit typo |
html | d07b5eb | jessievb | 2021-12-04 | Build site. |
Rmd | ff5bdfc | jessievb | 2021-12-04 | edit home-page. Abstract, links and GEO |
html | 4680ae2 | jessievb | 2021-10-07 | Build site. |
html | a5a4eeb | jessievb | 2021-10-07 | Build site. |
html | 0d76cee | jessievb | 2021-10-07 | Build site. |
Rmd | a3282f4 | jessievb | 2021-10-07 | publish initital project files |
Rmd | 06f88ae | jessievb | 2021-10-05 | Start workflowr project. |
Antibody secreting cells are key components of humoral immunity by secreting antibodies and providing protection against pathogens. These cells can be of IgM, IgA, or IgG subclass and migrate to class-specific niches. Localization and rareness of these cells make it challenge to define subclass-specific molecular hallmarks. Here, we describe how in-vitro differentiation of peripheral B-cells results in antibody-secreting cells. Using a single-cell multi-modal sequencing approach we find subclass-specific hallmark transcriptional profiles, surface protein expression and signaling pathway activity.
The pages contain code to process, analyze and create figures presented in the full manuscript:
We are very thankful for the efforts made by developers of Seurat, MOFA+ and workflowr. These (well documented) R-packages enable respectively extensive multi-modal data-analysis and reproducible code documentation.
The content in this repository is available under the CC BY 4.0 license.
For proper attribution, please cite our pre-print.