Transcriptome network of the papillary thyroid carcinoma radiation marker CLIP2.
Martin SelmansbergerAgata MichnaHerbert BraselmannInes HöfigKenji SchorppPeter WeberNatasa AnastasovHorst ZitzelsbergerJulia HessKristian UngerPublished in: Radiation oncology (London, England) (2020)
In our study we present an optimized preselection approach for genes subjected to gene-association network reconstruction, which was applied to CLIP2 perturbation transcriptome data of a thyroid cancer cell culture model. Our data support the potential carcinogenic role of CLIP2 overexpression in radiation-induced PTC and further suggest potential interaction partners of the gene.
Keyphrases
- radiation induced
- genome wide
- genome wide identification
- dna methylation
- copy number
- electronic health record
- radiation therapy
- rna seq
- endoscopic submucosal dissection
- single cell
- gene expression
- big data
- lymph node
- transcription factor
- lymph node metastasis
- cell proliferation
- genome wide analysis
- human health
- risk assessment
- machine learning
- data analysis
- hiv infected
- deep learning