Closed cnk113 closed 2 years ago
(Please ignore my previous comment that I have now deleted.)
The chrTomato-N.fa
file that you find in this repository was not used in the paper. We use it only for testing the pipeline.
I have now added both the FASTA and GTF files that we used, see https://github.com/frisen-lab/TREX/tree/main/annotation. Please also see the updated README file. I’m copying here the part that I added just now. If you need more details, please let us know.
See the manuscript at https://doi.org/10.1038/s41593-022-01011-x.
This section lists some details not available in the paper.
See the annotations/
directory for the necessary files.
The FASTA reference used with CellRanger was created by appending
H2b-EGFP-30N-LTR.fa
to the end of the GRCm38 (mm10) reference FASTA:
cat genome.fa chrH2B-EGFP-N.fa > mm10_H2B-EGFP-30N_genome.fa
The GTF annotations file was created by appending chrH2B-EGFP-N.gtf
to the existing annotations:
cat genes.gtf chrH2B-EGFP-N.gtf > mm10_H2B-EGFP-30N_genes.gtf
Then a new CellRanger reference can be created:
cellranger mkref --genome=mm10_H2B-EGFP-30N --fasta=mm10_H2B-EGFP-30N_genome.fa --genes=mm10_H2B-EGFP-30N_genes.gtf > mkref_mm10_H2B-EGFP-30N.out
Thanks for the clear solution!
I got everything working, I was wondering in terms of the parameters in run10x, it's fine to run everything with the defaults to get similar results with the paper?
Hi Chang,
To obtain the cell x barcode UMI matrix for each brain (consisting of three 10X libraries from three brain regions) I usually run:
trex run10x --output brain1 --start 1122 --end 1151 --umi-matrix --prefix --filter-cellids filtered_cells.csv cortex hippocampus striatum
The filtered_cells.csv contains the cellIDs exported from Seurat.
Hope this helps!
Michael
Thank you!
Hello,
I'm trying to reproduce the clonal barcode matrix from your paper, and I was wondering if the cellranger annotation is specifically modified? I assume you add the chr-Tomato.fa to the end of the mouse genome and I was wondering what was appended to the GTF file?
Best, Chang