AlexsLemonade / OpenScPCA-analysis

An open, collaborative project to analyze data from the Single-cell Pediatric Cancer Atlas (ScPCA) Portal
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First draft of annotations for SCPCP000006 #839

Open maud-p opened 1 month ago

maud-p commented 1 month ago

If you are filing this issue based on a specific GitHub Discussion, please link to the relevant Discussion.

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Describe the goals of the changes to the analysis module.

In the next PR, I would like to write a notebook that will provide the first annotations for the Wilms tumor dataset SCPCP000006.

The proposed annotation will be base on the combination of:

We will then use some of the markers genes to validate visually the annotations.

The analysis can be summarized as the following:

<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:x="urn:schemas-microsoft-com:office:excel" xmlns="http://www.w3.org/TR/REC-html40">

first level annotation | second level annotation | selection of the cells | marker genes for validation | cnv validation -- | -- | -- | -- | -- normal | endothelial | compartment == "endothelium" & mapping_score > map.thr & cnv_score < cnv.thr | WVF | no cnv normal | immune | compartment == "immune" & mapping_score > map.thr & cnv_score < cnv.thr | PTPRC, CD163, CD68 | no cnv normal | kidney | cell_type %in% c("kidney cell", "kidney epithelial", "podocyte") & mapping_score > map.thr & cnv_score < cnv.thr | CDH1, PODXL, LTL | no cnv normal | stroma | compartment == "stroma" & mapping_score > map.thr & cnv_score < cnv.thr | VIM | no cnv cancer | stroma | compartment == "stroma" & cnv_score > cnv.thr | VIM | proportion_cnv_chr -1 -4 -11 -16 -17 -18 cancer | blastema | compartment == "fetal_nephron" & cell_type == "mesenchymal cell" & cnv_score > cnv.thr | CITED1 | proportion_cnv_chr -1 -4 -11 -16 -17 -18 cancer | epithelial | compartment == "fetal_nephron" & cell_type != "mesenchymal cell" & cnv_score > cnv.thr | CDH1 | proportion_cnv_chr -1 -4 -11 -16 -17 -18 unknown | - | the rest of the cells | - | proportion_cnv_chr -1 -4 -11 -16 -17 -18

What will your pull request contain?

The PR will contain a notebook, extracting data for each of the sample such as done in 04_annotation_Across_Samples_exploration.Rmd for the cell_type_df.

We will try to visualize the data using umap reductions (DimPlot and FeaturesPlot) and heatmap of expression.

Will you require additional software beyond what is already in the analysis module?

No response

Will you require different computational resources beyond what the analysis module already uses?

No response

If known, when do you expect to file the pull request?

Monday 28/10 or Tuesday 29/10 hopefully

sjspielman commented 3 weeks ago

Hi @maud-p, as part of this incoming PR, can you please also have a look through all of the README files in your analysis module and make sure they are up-to-date for the current analysis status? I think they are in fairly good shape, but this is a great time to check. Thanks!!