Table 1.

Single nucleotide variants and predicted epitopes of tumor lines as deduced from transcriptome sequencing and bioinformatic analyses

Mouse strain BALB/c 
Tumor type Meth A CMS5 
RNA-Seq reads (million) 105.8 23.4 
Genome mapped 75% 54% 
Transcriptome mapped 83% 59% 
HardMerge mapped 65% 48% 
After PCR amplification filter 18% 22% 
HardMerge and filtered mapped bases (Gb) 1.15 0.24 
High-quality heterozygous SNVs in CCDS exonsa 1,528 208 
Tumor specific 1,504 191 
Non-synonymous 77.1% 78.5% 
Missense 1,096 146 
Nonsense 63 
No-stop 
NetMHC predicted epitopesb 823 112 
H2 Kd-restricted 203 15 
H2 Dd-restricted 328 58 
H2 literd-restricted 292 39 
Mouse strain BALB/c 
Tumor type Meth A CMS5 
RNA-Seq reads (million) 105.8 23.4 
Genome mapped 75% 54% 
Transcriptome mapped 83% 59% 
HardMerge mapped 65% 48% 
After PCR amplification filter 18% 22% 
HardMerge and filtered mapped bases (Gb) 1.15 0.24 
High-quality heterozygous SNVs in CCDS exonsa 1,528 208 
Tumor specific 1,504 191 
Non-synonymous 77.1% 78.5% 
Missense 1,096 146 
Nonsense 63 
No-stop 
NetMHC predicted epitopesb 823 112 
H2 Kd-restricted 203 15 
H2 Dd-restricted 328 58 
H2 literd-restricted 292 39 
a

The number of mutations identified depends on the sequencing depth.

b

Based on default NetMHC 3.0 PWM peptide binding score thresholds for weak binders, of 8.72, 8.08, and 8.19 for Kd, Dd, and Ld alleles, respectively.

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