Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Interacting ScTCRseq with ScRNAseq #310

Closed
synatkeamsk opened this issue Feb 1, 2024 · 1 comment
Closed

Interacting ScTCRseq with ScRNAseq #310

synatkeamsk opened this issue Feb 1, 2024 · 1 comment

Comments

@synatkeamsk
Copy link

Dear Nick,

I have single cell RNAseq and ScTCRseq data. I have done the first round of clustering using Seurat, which contain both T cells, NK/NKT and myeloid cells. I then proceeded to T cell subcluster. From there, when I interact single cell RNAseq with single cell TCRseq, should I use overall seurat clustering (T cells, NK/NKT and myeloid) or just T cell subcluster? I was told by an Bioinformatician that I should interact the overall Seurat clustering (T cells, NK/NKT and myeloid) with ScTCRseq, but not T cell subcluster because some T and myeloid cells can stay together (doublet) and doing so can allow us to remove doublet. I am bit confused and I thought I would like to ask for your suggestion because I used your packages. Hope you could help advise me how to proceed and suggest some materials/code I could use. Thanks for your wonderful work building the package.

Kind Regards,

Synat

@ncborcherding
Copy link
Member

Hey Synat,

I think the answer will depend on the situation, but mostly use the clusters that are most relevant to the figure you are making. For example, if you have subsetted all the T cells, reclustered/define subtypes, and then did the clonal analysis - I think you should use the T-cell-specific clusters.

Nick

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants