Loss-of-function uORF mutations in human malignancies
SCIENTIFIC REPORTS
Authors: Schulz, Julia; Mah, Nancy; Neuenschwander, Martin; Kischka, Tabea; Ratei, Richard; Schlag, Peter M.; Castanos-Velez, Esmeralda; Fichtner, Iduna; Tunn, Per-Ulf; Denkert, Carsten; Klaas, Oliver; Berdel, Wolfgang E.; von Kries, Jens P.; Makalowski, Wojciech; Andrade-Navarro, Miguel A.; Leutz, Achim; Wethmar, Klaus
Abstract
Ribosome profiling revealed widespread translational activity at upstream open reading frames (uORFs) and validated uORF-mediated translational control as a commonly repressive mechanism of gene expression. Translational activation of proto-oncogenes through loss-of-uORF mutations has been demonstrated, yet a systematic search for cancer-associated genetic alterations in uORFs is lacking. Here, we applied a PCR-based, multiplex identifier-tagged deep sequencing approach to screen 404 uORF translation initiation sites of 83 human tyrosine kinases and 49 other proto-oncogenes in 308 human malignancies. We identified loss-of-function uORF mutations in EPHB1 in two samples derived from breast and colon cancer, and in MAP2K6 in a sample of colon adenocarcinoma. Both mutations were associated with enhanced translation, suggesting that loss-of-uORF-mediated translational induction of the downstream main protein coding sequence may have contributed to carcinogenesis. Computational analysis of whole exome sequencing datasets of 464 colon adenocarcinomas subsequently revealed another 53 non-recurrent somatic mutations functionally deleting 22 uORF initiation and 31 uORF termination codons, respectively. These data provide evidence for somatic mutations affecting uORF initiation and termination codons in human cancer. The insufficient coverage of uORF regions in current whole exome sequencing datasets demands for future genome-wide analyses to ultimately define the contribution of uORF-mediated translational deregulation in oncogenesis.
Uncentered (centered) correlation clustering method fit for establishing theoretical p38 MAPK signaling pathway in human soft tissue sarcoma samples
2007 IEEE/ICME INTERNATIONAL CONFERENCE ON COMPLEX MEDICAL ENGINEERING, VOLS 1-4
Authors: Zhang, Jinling; Lu, Yinghua; Wang, Lin; Wolfl, Stefan; Zhang, Hongxin; Zhang, Bo; Han, Yunan; Zhen, Zhanqi
Abstract
The aim of this research is to use and compare clustering technologies and find the best method for establishing theoretical p38 MAPK signaling pathway in human soft tissue sarcoma samples. We use and compare Uncentered (centered) correlation,absolute correlation (uncentere and centere), spearman rank correlation,kendall's tau, Edclidean distance, Edclidean distance harmonic and city-block distance similarity metric in centroid linkage, Single linkage, complete linkage, average linkage hierarchical clustering to arrange genes for setup signaling pathways according to similarity in pattern of gene. Our results show that only Uncentered (centered) correlation is consistent with the core unit of the cascade composed of from a MLK3(MAP3K11), a MKK6(map2k6), a p38 MAPK (mapk14), a MSK1(RPS6KA5) to a CREB. This study implies that Uncentered (centered) correlation clustering fit for establishing theoretical p38 MAPK signaling pathway in human soft tissue sarcoma samples which is consistent with biological experimental p38 MAPK signaling pathway.