Clustering analysis of flow cytometry data was done using FlowJo (v10.5.3). First, we excluded dead cells, doublets, and non-lymphocyte cells (based on viability staining and FSC/SSC parameters). CD4+ cells were used for further analysis. Data were sampled using the “down sampling” function to obtain 40,000 representative cells from each sample. Then, we applied t-SNE algorithm with the following parameters: Iteration = 1000, Perplexity = 40, and Learning rate (eta) = 2800. Mean fluorescence intensity projected on the t-SNE plots for each protein to infer the cluster’s identity.

Note: The content above has been extracted from a research article, so it may not display correctly.

Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.

We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.