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Santa Cruz, CA, United States

Sanborn J.Z.,LLC Five3 Genomics | Sanborn J.Z.,University of California at Santa Cruz | Salama S.R.,University of California at Santa Cruz | Salama S.R.,Howard Hughes Medical Institute | And 8 more authors.
Cancer Research | Year: 2013

DNA sequencing offers a powerful tool in oncology based on the precise definition of structural rearrangements and copy number in tumor genomes. Here, we describe the development of methods to compute copy number and detect structural variants to locally reconstruct highly rearranged regions of the tumor genome with high precision from standard, short-read, paired-end sequencing datasets. We find that circular assemblies are the most parsimonious explanation for a set of highly amplified tumor regions in a subset of glioblastoma multiforme samples sequenced by The Cancer Genome Atlas (TCGA) consortium, revealing evidence for double minute chromosomes in these tumors. Further, we find that some samples harbor multiple circular amplicons and, in some cases, further rearrangements occurred after the initial amplicon-generating event. Fluorescence in situ hybridization analysis offered an initial confirmation of the presence of double minute chromosomes. Gene content in these assemblies helps identify likely driver oncogenes for these amplicons. RNA-seq data available for one double minute chromosome offered additional support for our local tumor genome assemblies, and identified the birth of a novel exon made possible through rearranged sequences present in the double minute chromosomes. Our method was also useful for analysis of a larger set of glioblastoma multiforme tumors for which exome sequencing data are available, finding evidence for oncogenic double minute chromosomes in more than 20% of clinical specimens examined, a frequency consistent with previous estimates. © 2013 American Association for Cancer Research. Source


Contemplated systems and methods integrate genomic/exomic data with transcriptomic data by correlating a cancer associated mutation in the genome/exome with the transcription level of the affected gene carrying the mutation, particularly where the mutation is a 3-terminal nonsense mutation.


Omics patient data are analyzed using sequences or diff objects of tumor and matched normal tissue to identify patient and disease specific mutations, using transcriptomic data to identify expression levels of the mutated genes, and pathway analysis based on the so obtained omic data to identify specific pathway characteristics for the diseased tissue. Most notably, many different tumors have shared pathway characteristics, and identification of a pathway characteristic of a tumor may thus indicate effective treatment options ordinarily not considered when tumor analysis is based on anatomical tumor type only.


Patent
Five3 Genomics LLC and Nant Holdings IP LLC | Date: 2014-09-26

Contemplated systems and methods employ chimeric reference sequences that include a plurality of viral genome sequences to identify/quantify integration and co-amplification events. Most typically, the viral genome sequences are organized in the chimeric reference sequences as single chromosomes and the chimeric reference sequences are in BAM format.


Contemplated systems and methods provide for machine learning and identification of regulatory interactions in biological pathways using a probabilistic graphical model, and especially for identification of interaction correlations among the regulatory parameters.

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