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Colorectal adenomas, carcinomas and adjacent normal NKI-AvL TGO series NGS-ProToCol

Cancer is caused by changes in the genome of cells, resulting in aberrant transcripts and proteins. In order to understand why normal cells become cancer cells and how we can identify and destroy them, the CTMM-NGS-ProToCol project aimed to understand prostate and colorectal cancer through DNA and RNA molecular profiling, to further improve diagnosis, prognosis and treatment.The state-of-the-art within the field of genome sequencing makes it possible to identify all the modifications in our genome that encode for RNA and of the transcripts themselves. The latest development in RNA sequencing is that if one does not select for polyA RNA, but first removes rRNA from the total RNA and then performs ‘random’ RNA sequencing, 30-60% of the reads are intronic. Since about 40% of the genome consists of genes (and only 1.6% is exonic), deep RNA sequencing will cover not only the exons, but also a large portion of the introns and therefore much of the genome. The power of the combined sequencing of genome and transcriptome is the full view of copy number aberrations (CNA), exon mutations and the consequence and relevance of the mutations at the RNA level in the form of differential gene expression, alternative splicing, alternative promoter usage, novel transcripts, fusion transcripts, read-through transcripts and mutations. For the colorectal (tumor) tissue dataset, we applied molecular profiling to 30 colorectal adenomas, 30 colorectal carcinomas and 18 normal adjacent colon tissues.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001004055 Illumina HiSeq 2500 30
EGAD00001004056 Illumina HiSeq 2500 30
EGAD00001004057 Illumina HiSeq 2500 18
EGAD00001004092 Illumina HiSeq 2500 30
EGAD00001004093 Illumina HiSeq 2500 30
EGAD00001004094 Illumina HiSeq 2500 18
Publications Citations
Molecular characterization of colorectal adenomas reveals POFUT1 as a candidate driver of tumor progression.
Int J Cancer 146: 2020 1979-1992
27
Fusion transcripts and their genomic breakpoints in polyadenylated and ribosomal RNA-minus RNA sequencing data.
Gigascience 10: 2021 giab080
7