Mutated tumor alleles are expressed according to their DNA frequency

The transcription of tumor mutations from DNA into RNA has implications for biology, epigenetics and clinical practice. It is not clear if mutations are in general transcribed and, if so, at what proportion to the wild-type allele. Here, we examined the correlation between DNA mutation allele frequency and RNA mutation allele frequency. We sequenced the exome and transcriptome of tumor cell lines with large copy number variations, identified heterozygous single nucleotide mutations and absolute DNA copy number, and determined the corresponding DNA and RNA mutation allele fraction. We found that 99% of the DNA mutations in expressed genes are expressed as RNA. Moreover, we found a high correlation between the DNA and RNA mutation allele frequency. Exceptions are mutations that cause premature termination codons and therefore activate nonsense-mediated decay. Beyond this, we did not find evidence of any wide-scale mechanism, such as allele-specific epigenetic silencing, preferentially promoting mutated or wild-type alleles. In conclusion, our data strongly suggest that genes are equally transcribed from all alleles, mutated and wild-type, and thus transcribed in proportion to their DNA allele frequency.

[1]  Ian M. Morison,et al.  The imprinted gene and parent-of-origin effect database now includes parental origin of de novo mutations , 2005, Nucleic Acids Res..

[2]  I. Măndoiu,et al.  Towards accurate detection and genotyping of expressed variants from whole transcriptome sequencing data , 2011, BMC Genomics.

[3]  P. Wittkopp,et al.  Sources of bias in measures of allele-specific expression derived from RNA-seq data aligned to a single reference genome , 2013, BMC Genomics.

[4]  Özlem Türeci,et al.  Immunomic, genomic and transcriptomic characterization of CT26 colorectal carcinoma , 2013, BMC Genomics.

[5]  A. Krainer,et al.  Listening to silence and understanding nonsense: exonic mutations that affect splicing , 2002, Nature Reviews Genetics.

[6]  J. Castle,et al.  Exploiting the mutanome for tumor vaccination. , 2012, Cancer research.

[7]  Calum MacAulay,et al.  Oncogene Mutations, Copy Number Gains and Mutant Allele Specific Imbalance (MASI) Frequently Occur Together in Tumor Cells , 2009, PloS one.

[8]  Thomas R. Gingeras,et al.  STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..

[9]  Luc Girard,et al.  An integrated view of copy number and allelic alterations in the cancer genome using single nucleotide polymorphism arrays. , 2004, Cancer research.

[10]  Richard Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .

[11]  T. Pastinen Genome-wide allele-specific analysis: insights into regulatory variation , 2010, Nature Reviews Genetics.

[12]  Hoguen Kim,et al.  Identification of frequently mutated genes with relevance to nonsense mediated mRNA decay in the high microsatellite instability cancers , 2011, International journal of cancer.

[13]  David I. Smith,et al.  Tumor Transcriptome Sequencing Reveals Allelic Expression Imbalances Associated with Copy Number Alterations , 2010, PloS one.

[14]  A. Børresen-Dale,et al.  The Life History of 21 Breast Cancers , 2012, Cell.

[15]  A. Bashashati,et al.  Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer , 2012, Genome research.

[16]  E. Birney,et al.  Patterns of somatic mutation in human cancer genomes , 2007, Nature.

[17]  M. Somerfield,et al.  American Society of Clinical Oncology provisional clinical opinion: testing for KRAS gene mutations in patients with metastatic colorectal carcinoma to predict response to anti-epidermal growth factor receptor monoclonal antibody therapy. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[18]  Ken Chen,et al.  SomaticSniper: identification of somatic point mutations in whole genome sequencing data , 2012, Bioinform..

[19]  C. Perou,et al.  Allele-specific copy number analysis of tumors , 2010, Proceedings of the National Academy of Sciences.

[20]  Christopher A. Miller,et al.  VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. , 2012, Genome research.

[21]  Gonçalo R. Abecasis,et al.  The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..

[22]  A. Sivachenko,et al.  Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples , 2013, Nature Biotechnology.

[23]  D. Cane,et al.  The nonsense-mediated decay RNA surveillance pathway. , 2007, Annual review of biochemistry.

[24]  T. Babak,et al.  Global Survey of Genomic Imprinting by Transcriptome Sequencing , 2008, Current Biology.

[25]  G. Parmigiani,et al.  The Consensus Coding Sequences of Human Breast and Colorectal Cancers , 2006, Science.

[26]  Ronghua Chen,et al.  DNA copy number, including telomeres and mitochondria, assayed using next-generation sequencing , 2010, BMC Genomics.

[27]  Michael Peyton,et al.  Alterations in Genes of the EGFR Signaling Pathway and Their Relationship to EGFR Tyrosine Kinase Inhibitor Sensitivity in Lung Cancer Cell Lines , 2009, PloS one.

[28]  Allen D. Delaney,et al.  Mutation Discovery in Regions of Segmental Cancer Genome Amplifications with CoNAn-SNV: A Mixture Model for Next Generation Sequencing of Tumors , 2012, PloS one.

[29]  Stanley F. Nelson,et al.  Identification of allele-specific alternative mRNA processing via transcriptome sequencing , 2012, Nucleic acids research.

[30]  A. McKenna,et al.  Absolute quantification of somatic DNA alterations in human cancer , 2012, Nature Biotechnology.

[31]  Jay Shendure,et al.  The haplotype-resolved genome and epigenome of the aneuploid HeLa cancer cell line , 2013, Nature.

[32]  David T. W. Jones,et al.  Signatures of mutational processes in human cancer , 2013, Nature.