Nucleic Acids Research · 2014 · 120 citations · 55 references
Life SciencesGeneticsOncologyEpigenomicsGenomicsMolecular OncologyCancer EpigeneticsCancer EpigenomicsCancer GenomicsCancer TranscriptomicsEpigenetic Alterations In CancerEpigenetic Regulation In CancerAberrant Dna MethylationBisulfite SequencingChromosomal RearrangementsDifferential Methylation AnalysisIntegrative Multi-omics AnalysisLung AdenocarcinomaSplice-site MutationsWhole-genome Bisulfite Sequencing
Here we conducted an integrative multi-omics analysis to understand how cancers harbor various types of aberrations at the genomic, epigenomic and transcriptional levels. In order to elucidate biological relevance of the aberrations and their mutual relations, we performed whole-genome sequencing, RNA-Seq, bisulfite sequencing and ChIP-Seq of 26 lung adenocarcinoma cell lines. The collected multi-omics data allowed us to associate an average of 536 coding mutations and 13,573 mutations in promoter or enhancer regions with aberrant transcriptional regulations. We detected the 385 splice site mutations and 552 chromosomal rearrangements, representative cases of which were validated to cause aberrant transcripts. Averages of 61, 217, 3687 and 3112 mutations are located in the regulatory regions which showed differential DNA methylation, H3K4me3, H3K4me1 and H3K27ac marks, respectively. We detected distinct patterns of aberrations in transcriptional regulations depending on genes. We found that the irregular histone marks were characteristic to EGFR and CDKN1A, while a large genomic deletion and hyper-DNA methylation were most frequent for CDKN2A. We also used the multi-omics data to classify the cell lines regarding their hallmarks of carcinogenesis. Our datasets should provide a valuable foundation for biological interpretations of interlaced genomic and epigenomic aberrations.
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The Sequence Alignment/Map format and SAMtools
Heng Li, Alec Wysoker, Tim Fennell et al. · Bioinformatics · 2009 · 67.5K citations · Full text
Fast and accurate short read alignment with Burrows–Wheeler transform
Heng Li, Richard Durbin · Bioinformatics · 2009 · 62.8K citations · Full text
Model-based Analysis of ChIP-Seq (MACS)
Yong Zhang, Tao Liu, Clifford A. Meyer et al. · Genome biology · 2008 · 19.9K citations · Full text
An integrated encyclopedia of DNA elements in the human genome