The CellBarcode package is able to extract barcode sequence from single cell sequencing data.
The Bam, Sam and Fastq format files are supported. The Bam and Sam files should be the output of the 10X Genomics CellRanger pipeline. The Fastq files are the raw sequencing data. The vignette will show how to extract barcode from the Bam/Sam files.
For more examples, please check the Supplementary Vignette 2 in following link: https://static-content.springer.com/esm/art%3A10.1038%2Fs43588-024-00595-7/MediaObjects/43588_2024_595_MOESM1_ESM.pdf
The the information in the bam file. There are RNA sequence, Cell barcode and UMI in the bam file. We need to get the barcode in the RNA sequence together with the Cell barcode and UMI.
Where to find the bam file. Usually, the bam file in in following location of the CellRanger output.
CellRanger Output fold/outs/possorted_genome_bam.bam
Why preprocess. We need get the sam file as input. And in some cases we can do some filtering to make the input file smaller, for reducing the running time.
Example 1 get the sam file
Example 2 get the sam file only contain un mapped reads
In most of the time, the barcodes are designed not overlap with the
genome sequence, so those barcodes sequences are not mapped to the
reference genome. Add a simple parameter, we can get the un-mapped reads
to significantly reduce the running time of the barcode extraction
procedure. In the following example, the scRNASeq_10X.sam
file only contains the un-mapped reads.
Extract lineage barcode with cell-barcode, UMI information.
The parameters:
sam: The location of sam format file derived from CellRanger output bam file.
pattern: A regular expression, that matchs the lineage barcode. The first capture will be extract as lineage barcode. Please check next section to know more about how to define a pattern.
cell_barcode_tag: The cell barcode field tag in the sam file, the default is “CR” in the Cell Ranger output. You do not need to modify it, unless you know what you are doing.
umi_tag: The UMI field tag in the sam file, the default is “UR” in the Cell Ranger output. You do not need to modify it, unless you know what you are doing.
sam_file <- system.file("extdata", "scRNASeq_10X.sam", package = "CellBarcode")
d = bc_extract_sc_sam(
sam = sam_file,
pattern = "AGATCAG(.*)TGTGGTA",
cell_barcode_tag = "CR",
umi_tag = "UR"
)
d
#> Bonjour le monde, This is a BarcodeObj.
#> ----------
#> It contains:
#> ----------
#> @metadata: 2 field(s) available:
#> raw_read_count barcode_read_count
#> ----------
#> @messyBc: 49 sample(s) for raw barcodes:
#> In sample $AAACGAAAGTTCATGC there are: 1 Tags
#> In sample $AAACGCTAGCTGACCC there are: 1 Tags
#> In sample $AAAGGATAGTGTGTTC there are: 1 Tags
#> In sample $AAAGGGCAGCCTGAGA there are: 1 Tags
#> In sample $AAAGGTAAGGCCCACT there are: 1 Tags
#> In sample $AAAGTCCCACTGCGAC there are: 1 Tags
#> In sample $AAAGTGATCTGACGCG there are: 1 Tags
#> In sample $AACACACCAATCCAGT there are: 1 Tags
#> In sample $AACACACTCACCGACG there are: 1 Tags
#> In sample $AACCCAAGGTAATTTA there are: 1 Tags
#> In sample $AACCTTTGTCATTCCC there are: 1 Tags
#> In sample $AACGAAATCTGGGTCG there are: 1 Tags
#> In sample $AACTTCTGTGTTCCTC there are: 1 Tags
#> In sample $AAGACAAAGCTAAATG there are: 1 Tags
#> In sample $AAGACAAAGGCGCTTC there are: 1 Tags
#> In sample $AAGCAGTGGTATCAAC there are: 8 Tags
#> In sample $AAGGAGCTGACAGGTG there are: 1 Tags
#> In sample $AAGTCGTAGCACGGAT there are: 1 Tags
#> In sample $AAGTGAAAGTCCCGGT there are: 1 Tags
#> In sample $AAGTTCGAGAGGTATT there are: 1 Tags
#> In sample $AATAGAGGTTCTAACG there are: 1 Tags
#> In sample $AATCGACTCATCGCTC there are: 1 Tags
#> In sample $ACAAAGAGTAGGTCAG there are: 1 Tags
#> In sample $ACAACCATCACGGAGA there are: 1 Tags
#> In sample $ACATGGGGTAAAAGGA there are: 1 Tags
#> In sample $AGCAGTGGTATCAACG there are: 1 Tags
#> In sample $AGGCATTAAAGCAGCG there are: 1 Tags
#> In sample $AGGCCTCACATTCTTC there are: 1 Tags
#> In sample $AGTCTTTCGTCAAACA there are: 1 Tags
#> In sample $CAAATTTTGTAATCCA there are: 1 Tags
#> In sample $CACAAATTTTGTAATC there are: 1 Tags
#> In sample $CACAACTCCTCATAAA there are: 1 Tags
#> In sample $CAGTGGTATCAACGCA there are: 1 Tags
#> In sample $CCTTGTGAGTGTTACC there are: 1 Tags
#> In sample $CTACGGGAAGCAATAG there are: 1 Tags
#> In sample $GATACAAAGGCATTAA there are: 1 Tags
#> In sample $GCAGTGGTATCAACGC there are: 2 Tags
#> In sample $GGAAGCAATAGCATGA there are: 1 Tags
#> In sample $GTGGTATCAACGCAGA there are: 2 Tags
#> In sample $GTTAAGAATACCAGTC there are: 1 Tags
#> In sample $TAAGCCAAAAGAACAA there are: 1 Tags
#> In sample $TAAGCCATAAACATAT there are: 1 Tags
#> In sample $TGAAAGTGACAACTGA there are: 1 Tags
#> In sample $TTCACCGATTTTGTAA there are: 2 Tags
#> In sample $TTCCAAATTTTGTAAT there are: 1 Tags
#> In sample $TTCCTCTCAGAATTGG there are: 1 Tags
#> In sample $TTCGCTGATTTTGTAA there are: 1 Tags
#> In sample $TTCTTCACAGAATTGG there are: 1 Tags
#> In sample $TTGGGCGTCTTTGGGC there are: 1 TagsThe output is a data.frame. It contains 3 columns:
cell_barcode: It is unique identificaiton for each cell. One
cell_barcode corresponding to a cell.
umi: It is used to label the molecular before PCR, a unique UMI means one molecular.
barcode_seq: Depends on the experiment design, it usually labels the lineage.
count: The reads number of a specifc cell-barcode, UMI, lineage barcode combination.
patternThe pattern is a regular expression, it tells the
function where to find the barcode. In the pattern, we define the
barcode backbone, and label the barcode sequence by bracket
().
For example, the pattern ATCG(.{21})TCGG tells the
barcode is surrounded by constant sequence of ATCG, and
TCGG. Following are some examples to define the constant
region and barcode sequence.
Example 1
ATCG(.{21})
21 bases barcode after a constant sequence of “ATCG”.
Example 2
(.{15})TCGA
15 bases barcode before a constant sequence of “TCGA”.
Example 3
ATCG(.*)TCGA
A flexible length barcode between constant regions of “ATCG” and “TCGA”.
Need more helps: About more complex barcode pattern, please ask the package author, then the exmaple will be apear here.
sessionInfo()
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