Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Alternative poladenylation of tumor suppressor genes in small intestinal neuroendocrine tumors

ABSTRACT: The tumorigenesis of small intestinal neuroendocrine tumors (NETs) is poorly understood. Recent studies have associated alternative polyadenylation with proliferation, cell transformation and cancer. Polyadenylation is the process in which the pre-mRNA is cleaved at a polyA site and a polyA tail is added. Genes with two or more polyA sites can undergo alternative polyadenylation. This produces two or more distinct mRNA isoforms with different 3M-bM-^@M-^Y untranslated regions. Additionally, alternative polyadenylation can also produce mRNAs containing different 3M-bM-^@M-^Y-terminal coding regions. Therefore, alternative polyadenylation alters both the repertoire and the expression level of proteins. Here we used high-throughput sequencing data to map polyA sites and characterize polyadenylation genome-wide in three small intestinal neuroendocrine tumors and a reference sample. In the tumors sixteen genes showed significant changes of alternative polyadenylation pattern, which lead to either the 3M-bM-^@M-^Y truncation of mRNA coding regions or 3M-bM-^@M-^Y untranslated regions. Among these, 11 genes had been previously associated with cancer, with 4 genes being known tumor suppressors: DCC, PDZD2, MAGI1 and DACT2. We validated the alternative polyadenylation in 3 out of 3 cases with Q-RT-PCR. Our findings suggest that changes of alternative polyadenylation pattern in these 16 genes could be involved in the tumorigenesis of small intestinal neuroendocrine tumors. Furthermore, they also point to alternative polyadenylation as a new target for both diagnostic and treatment of small intestinal neuroendocrine tumors. The identified genes with alternative polyadenylation specific to the small intestinal neuroendocrine tumors could be further tested as diagnostic markers and drug targets for disease prevention and treatment. PolyA-seq profiling of 3 human neuroendocrine tumors compared and pituitary using Direct RNA Sequencing from Helicos Biosciences Technology

ORGANISM(S): Homo sapiens

SUBMITTER: Mireya Plass

PROVIDER: E-GEOD-56657 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Our computational analyses of sequencing depth and the discovery rates of sequence elements in the 3M-bM-^@M-^YUTR strongly demonstrate that interrogation of the 3M-bM-^@M-^YUTRome in specific tissues and cell types across development will greatly expand the identification of new 3M-bM-^@M-^YUTR isoforms and the sequence elements therein. Therefore, we will generate and sequence the 3M-bM-^@M-^YUTRs from the cell types isolated from the developing germline, mature germ cells, and early embryogenesis. In addition, we will identify the 3M-bM-^@M-^YUTRs for the transcripts isolated from the major somatic tissues during late- and post-embryonic development. Based on our sequencing estimates, we anticipate that the tissue-specific interrogation of the 3M-bM-^@M-^YUTRome will reveal a far greater diversity of novel 3M-bM-^@M-^YUTR isoform expression that is masked in the whole-worm 3M-bM-^@M-^YUTRome sequence data. Using the transgenic myo-3::PABP strain, we have generated polyA-captured libraries for late embryos and across the major stages of post-embryonic development for the muscle transcriptome. We propose to generate these polyA-captured libraries for transcripts expressed in the other major tissues across development. PolyA-captured libraries will be generated for deep sequencing following the tissue-specific isolation of mRNAs by PABP pulldowns (the PABP immunoprecipitations will take advantage of a FLAG epitope which is fused to PABP in all of the transgenic strains). We propose to validate the expression of tissue- specific transcripts by qPCR for select transcripts known to be expressed in those particular tissues. In addition, following the strategy we have employed for the large-scale polyA-captured libraries from muscle, we will perform quality checks for 3M-JM-< end capture by manually sequencing ~60 clones isolated from each library. Once we have obtained the deep sequencing data, we will analyze all of the sequence reads using the bioinformatics pipeline that we established for the whole-worm polyA- captured sequences (Mangone et al., 2010). Four samples representing gravid, L2, L3, and L4 developmental stages were analyzed.

Dataset Information

Alternative poladenylation of tumor suppressor genes in small intestinal neuroendocrine tumors

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure