Classification and characterization of alternative promoters in 26 lung adenocarcinoma cell lines

Author:

Hamaya Yamato12,Suzuki Ayako3,Suzuki Yutaka3,Tsuchihara Katsuya12ORCID,Yamashita Riu23ORCID

Affiliation:

1. The University of Tokyo Department of Integrated Biosciences, Graduate School of Frontier Sciences, , Chiba, Japan

2. National Cancer Center, Exploratory Oncology Research and Clinical Trial Center Division of Translational Informatics, , Chiba, Japan

3. The University of Tokyo Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, , Chiba, Japan

Abstract

Abstract Background Genome-wide landscape of alternative promoter use remains unknown. We determined expression profiles of promoters in 26 lung adenocarcinoma cell lines using the transcriptional start site-sequencing data and proposed an index ‘canonical promoter usage’ to quantify the diversity of alternative promoter usage. Methods Transcriptional start site-sequencing and other datasets were obtained from the DataBase of Transcriptional Start Sites. Transcriptional start site-sequencing read clusters were mapped onto RefGene to determine the promoters. Commonly used promoters were designated as canonical promoters. The sequence logos, CpG islands, DNA methylation and histone modifications of canonical and non-canonical promoters were examined. Canonical promoter usage was calculated by dividing ‘read counts of a canonical promoter’ by ‘read counts of all the units of promoters’ on each gene. The expressed genes were subjected to hierarchical clustering according to their canonical promoter usage. Results Among 104 455 promoters for 14 297 genes, 8659 canonical and 68 197 non-canonical promoters were identified. Corresponding to higher expression, canonical promoters showed core promoter sequences, higher CpG island positivity, less DNA methylation and higher transcription-promoting histone modifications. Gene ontology enrichment analysis revealed that the clusters with lower canonical promoter usage were related to signalling pathways, whereas clusters of tightly regulated genes with higher canonical promoter usage were related to housekeeping genes. Conclusion Canonical promoters were regulated by conventional transcriptional machinery, while non-canonical promoters would be targets of ‘leaky’ expression. Further investigation is warranted to analyse the correlation between alternative promoter usage and biological characteristics contributing to carcinogenesis.

Funder

National Cancer Center

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology,General Medicine

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