1.Skeletal metastasis: treatments, mouse models, and the Wnt signaling.
Kenneth C VALKENBURG ; Matthew R STEENSMA ; Bart O WILLIAMS ; Zhendong ZHONG
Chinese Journal of Cancer 2013;32(7):380-396
Skeletal metastases result in significant morbidity and mortality. This is particularly true of cancers with a strong predilection for the bone, such as breast, prostate, and lung cancers. There is currently no reliable cure for skeletal metastasis, and palliative therapy options are limited. The Wnt signaling pathway has been found to play an integral role in the process of skeletal metastasis and may be an important clinical target. Several experimental models of skeletal metastasis have been used to find new biomarkers and test new treatments. In this review, we discuss pathologic process of bone metastasis, the roles of the Wnt signaling, and the available experimental models and treatments.
Animals
;
Bone Neoplasms
;
drug therapy
;
metabolism
;
radiotherapy
;
secondary
;
surgery
;
Breast Neoplasms
;
metabolism
;
pathology
;
Disease Models, Animal
;
Drug Delivery Systems
;
Female
;
Humans
;
Lung Neoplasms
;
metabolism
;
pathology
;
Male
;
Mice
;
Prostatic Neoplasms
;
metabolism
;
pathology
;
Wnt Proteins
;
metabolism
;
Wnt Signaling Pathway
;
beta Catenin
;
metabolism
2.YPED:An Integrated Bioinformatics Suite and Database for Mass Spectrometry-based Proteomics Research
Colangelo M. CHRISTOPHER ; Shifman MARK ; Cheung KEI-HOI ; Stone L. KATHRYN ; Carriero J. NICHOLAS ; Gulcicek E. EROL ; Lam T. TUKIET ; Wu TERENCE ; Bjornson D. ROBERT ; Bruce CAN ; Nairn C. ANGUS ; Rinehart JESSE ; Miller L. PERRY ; Williams R. KENNETH
Genomics, Proteomics & Bioinformatics 2015;(1):25-35
We report a significantly-enhanced bioinformatics suite and database for proteomics research called Yale Protein Expression Database (YPED) that is used by investigators at more than 300 institutions worldwide. YPED meets the data management, archival, and analysis needs of a high-throughput mass spectrometry-based proteomics research ranging from a single laboratory, group of laboratories within and beyond an institution, to the entire proteomics com-munity. The current version is a significant improvement over the first version in that it contains new modules for liquid chromatography–tandem mass spectrometry (LC–MS/MS) database search results, label and label-free quantitative proteomic analysis, and several scoring outputs for phosphopeptide site localization. In addition, we have added both peptide and protein comparative analysis tools to enable pairwise analysis of distinct peptides/proteins in each sample and of overlapping peptides/proteins between all samples in multiple datasets. We have also implemented a targeted proteomics module for automated multiple reaction monitoring (MRM)/selective reaction monitoring (SRM) assay development. We have linked YPED’s database search results and both label-based and label-free fold-change analysis to the Skyline Panorama repository for online spectra visualization. In addition, we have built enhanced functionality to curate peptide identifications into an MS/MS peptide spectral library for all of our protein database search identification results.