Partek Flow Documentation

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  • In the Data card on the left, click Merged counts
  • Scroll down and find the CD19_TotalSeqB protein marker
  • Click and drag the CD19_TotalSeqB marker and click and drag it over to the UMAP plot on the right
  • Drop the CD19_TotalSeqB marker over the Color configuration option on the plot

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Numbered figure captions
SubtitleTextCells in UMAP plot colored by their expression of CD19 protein
AnchorNameCells colored by CD19

  • Click Image Modified in the top right corner of the UMAP plot
  • Lasso around the CD19 positive cells (Figure ?)
  • Click  in the Filtering card on the right to include the selected points

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  • Click  to remove the Graph-based selection rule from the Selection card
  • Find the CD3_TotalSeqB protein marker in the biomarker table
  • Click and drag CD3_TotalSeqB onto the Add rule drop-down list in the Selection card (Figure ?)


Numbered figure captions
SubtitleTextClick and drag the CD3 protein marker directly onto the Add rule drop-down list to create a selection rule
AnchorNameCreate CD3 selection rule

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The remaining CD3 positive cells have been added to the Doublet classification and removed from the plot.

The biomarkers for clusters 1 and 2 also show an interesting pattern. Cluster 1 lists IGHD as its top biomarker, while cluster 2 lists IGHA1. Both IGHD (Immunoglobulin Heavy Constant Delta) and IGHA1 (Immunoglobulin Heavy Constant Alpha 1) encode classes of the immunoglobulin heavy chain constant region. IGHD is part of IgD, which is expressed by mature B cells, and IGHA1 is part of IgA1, which is expressed by activated B cells. We can color the plot by both of these genes to visualize their expression.

  • Click, drag and drop IGHD from the biomarker table onto the Green (feature) configuration option on the UMAP plot on the right
  • Click, drag and drop IGHA1 from the biomarker table onto the Red (feature) configuration option on the UMAP plot on the right


Numbered figure captions
SubtitleTextThe B cells colored by IGHD (green) and IGHA1 (red) gene expression
AnchorNameColor B cells by 2 marker genes

Image Added

We can use the lasso tool to select and classify these populations.

  • Click Image Added in the top right corner of the UMAP plot
  • Lasso around the IGHD positive cells (Figure ?)
  • In the Classification card on the right, click Classify selection
  • Label the cells as Mature B cells 
  • Click Save


Numbered figure captions
SubtitleTextLasso around the IGHD positive cells
AnchorNameSelect IGHD positive cells

Image Added

  • Lasso around the IGHA1 positive cells (Figure ?)
  • In the Classification card on the right, click Classify selection
  • Label the cells as Activated B cells 
  • Click Save


Numbered figure captions
SubtitleTextSelect IGHA1 positive cells
AnchorNameSelect IGHA1 positive cells

Image Added

We can now visualize our classifications.

  • Click the Clear filters link in the Filtering card on the right
  • Select the duplicate UMAP plot (with the cell colored by marker genes)
  • In the Configuration card on the left, expand the Color card and color the cells by New classification


Numbered figure captions
SubtitleTextUMAP with cells colored by cell types
AnchorNameClassified cells

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  • Click Apply classifications in the Classification card on the right
  • Choose the Merged counts data node as input for the classification task (Figure ?)


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SubtitleTextIn the pipeline preview, select the Merged counts dta node as input for the classification task
AnchorNameInput for classification task

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  • Click Select
  • Name the attribute Cell type
  • Click Run
  • Click OK to close the message about a classification task being enqueued

Optionally, you may wish to save this data viewer session if you need to go back and reclassify cells later. To save the session, click the Image Added icon on the left and name the session.

A Classify task will be added to the pipeline producing a Classify results data node.

  • Click the project name at the top to go back to the Analyses tab (Figure ?)


Numbered figure captions
SubtitleTextPipeline after Classification of B and T cell sub-types
AnchorNamePipeline after classification

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