Moreno, V. | Search bioRxiv

bioRxiv2018

Modular dynamics of DNA co-methylation networks exposes the functional organization of colon cancer cells’ genome

Epigenomic plasticity is interconnected with chromatin structure and gene regulation. In tumor progression, orchestrated remodeling of genome organization accompanies the acquisition of malignant properties. DNA methylation, a key epigenetic mark extensively altered in cancer, is also linked to genome architecture and function. Based on this association, we postulate that the dissection of long-range co-methylation structure unveils cancer cells genome architecture remodeling. We applied network-modeling of DNA methylation co-variation in two colon cancer cohorts and found abundant and consistent transchromosomal structures in both normal and tumor tissue. Normal-tumor comparison indicated substantial remodeling of the epigenome covariation and revealed novel genomic compartments with a unique signature of DNA methylation rank inversion.

genomics↗

bioRxiv2017

SQANTI: extensive characterization of long read transcript sequences for quality control in full-length transcriptome identification and quantification

High-throughput sequencing of full-length transcripts using long reads has paved the way for the discovery of thousands of novel transcripts, even in very well annotated organisms as mice and humans. Nonetheless, there is a need for studies and tools that characterize these novel isoforms. Here we present SQANTI, an automated pipeline for the classification of long-read transcripts that computes 47 descriptors that can be used to assess the quality of the data and of the preprocessing pipelines. We applied SQANTI to a neuronal mouse transcriptome using PacBio long reads and illustrate how the tool is effective in readily describing the composition of and characterizing the full-length transcriptome. We perform extensive evaluation of ToFU PacBio transcripts by PCR to reveal that an important number of the novel transcripts are technical artifacts of the sequencing approach, and that SQANTI quality descriptors can be used to engineer a filtering strategy to remove them. Most novel transcripts in this curated transcriptome are novel combinations of existing splice sites, result more frequently in novel ORFs than novel UTRs and are enriched in both general metabolic and neural specific functions. We show that these new transcripts have a major impact in the correct quantification of transcript levels by state-of-the-art short-read based quantification algorithms. By comparing our iso-transcriptome with public proteomics databases we find that alternative isoforms are elusive to proteogenomics detection and are variable in protein changes with respect to the principal isoform of their genes. SQANTI allows the user to maximize the analytical outcome of long read technologies by providing the tools to deliver quality-evaluated and curated full-length transcriptomes. SQANTI is available at https://bitbucket.org/ConesaLab/sqanti.

bioinformatics↗