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# DISCO: scRNAseq <img src="http://microfluidics.utoronto.ca/gitlab/DISCO/DISCO_scRNAseq/-/blob/master/Images/WheelerLabLogo.png" alt="Wheeler Microfluidics Lab" width="80" height="80"/>
DISCO-Digital Microfluidic Isolation of Single Cells for - Omics.
The laser lysis capture method implemented in DISCO offers spatially and temporally resolved capture of single cells, while Digital Microfluidics (DMF) is capable of retrieving this lysate and permitting flexible downstream analyses, such as scRNA-seq.
Each cell has a barcode incorporated into Read 1, making the cell's transcriptome accountable and traceable throughout the pipeline. This barcode includes a unique cell barcode (12bp) and a UMI (8bp). The first part of our bioinformatic pipeline deals with parsing these.
The provided scripts go through mapping, parsing fasta headers (barcodes and UMIs), generating count data, making figures and performing differential gene expression (DGE):
1. Append Read1 barcode information to Read2 fasta header
2. Align with Star Aligner
3. Collapse redundant UMIs
4. Parse and separate unique cell barcodes
RFigureScripts: TPM normalization, figure generation, DGE with EdgeR, UMAP implementation
DependentScripts: FeatureCounts and barcode demuliplexing scripts.
Lamanna, J.* , Scott, E.Y. * , Edwards, H.* , Chamberlain, M.D., Dryden, M.D.M., Peng, J., Mair, B., Lee, A., Sklavounos, A.A., Abbas, F., Moffat, J. & A.R. Wheeler. "Digital Microfluidic Isolation of Single Cells for - Omics". 2020.
### SRAs
SRA accession: PRJNA640061 (B16 cell data)
SRA accession: PRJNA640109 (U87 cell data)
Harrison Edwards: python barcode parser scripts within DependentScripts/