Metagenomics and transcriptomics data from human colorectal cancer.
Tina VisnovskaPatrick J BiggsSebastian SchmeierFrank A FrizelleRachel V PurcellPublished in: Scientific data (2019)
Colorectal cancer is a heterogenous and mostly sporadic disease, the development of which is associated with microbial dysbiosis. Recent advances in subtype classification have successfully stratified the disease using molecular profiling. To understand potential relationships between molecular mechanisms differentiating the subtypes of colorectal cancer and composition of gut microbial community, we classified a set of 34 tumour samples into molecular subtypes using RNA-sequencing gene expression profiles and determined relative abundances of bacterial taxonomic groups. To identify bacterial community composition, 16S rRNA amplicon metabarcoding was used as well as whole genome metagenomics of the non-human part of RNA-sequencing data. The generated data expands the collection of the data sources related to the disease and connects molecular aspects of the cancer with environmental impact of microbial community.
Keyphrases
- microbial community
- single cell
- electronic health record
- endothelial cells
- antibiotic resistance genes
- big data
- magnetic resonance imaging
- genome wide
- data analysis
- squamous cell carcinoma
- pluripotent stem cells
- magnetic resonance
- late onset
- dna methylation
- human health
- climate change
- papillary thyroid
- wastewater treatment
- childhood cancer