Hi all,
I am analyzing single cell RNA-seq data using Seurat and would like the follow up the analysis with cell trajectory analysis using Monocle3.
So I tried several methods, but I am not sure how to do it.
I want to analyze like the following paper's methods.

"For oligodendrocyte developmental
trajectory assessment, the data for cells belonging to the five
clusters in the OL (Oligos_1, Oligos_2, Oligos_3, OPCs_1, OPCs_2) were
used to create a separate Seurat object using the SubsetData function.
The most variable genes for these clusters alone were identified using
the FindVariableGenes function and the following parameters:
x.low.cutoff = 0.003, x.high.cutoff = 3 and y.cutoff = 1 (giving a
total of 895). The Seurat object was imported into a CDS (CellDataSet)
object using the Monocle22 function importCDS.
Estimation of size factors and dispersions was performed (using the
estimateSizeFactors and estimateDispersions Monocle functions) on the
CDS object using default parameters. Dimensionality reduction was then
performed using reduceDimension, with reduction_method set to DDRTree.
The 895 variable genes identified above were used for ordering the
cells into a trajectory with the orderCells function. The pseudotime
trajectory was then plotted with plot_cell_trajectory, and the change
in expression of genes known to be involved in oligodendrocyte
development were plotted using plot_genes_in_pseudotime."
(C Nagy et al., Nat Neurosci., 2020)
I know this is an old version of the monocle. But I want to analyze like this.
Some methods are not well explained or show only a line across the entire cluster without reconfiguring the cluster.
I have already done clustering analysis with Seurat.
Then, I want to extract the subcluster and do trajectory analysis with these subcluster using Monocle3.
Could you please share the code or point me to the site?
Thanks in advance
scrna-seq
trajectory
monocle3
seurat