1.Classification and management of the tandem ossification of the posterior longitudinal ligament and flaval ligament.
Jiong-jiong GUO ; Hui-lin YANG ; Kenneth M C CHEUNG ; Tian-si TANG ; Keith D K LUK
Chinese Medical Journal 2009;122(2):219-224
OBJECTIVETo provide appropriate guidelines for treatment of tandem ossification of the posterior longitudinal ligament (OPLL) and flaval ligament (OFL). Data sources Published articles about OPLL and OFL were selected using Medline and Embase electronic databases. Study selection An English literature search from January 1980 to December 2006 was conducted. Because many reported cases were incorporated in OFL studies, the key words for search were OFL or OFL and OPLL. The first step revealed 93 studies of which 13 reports of tandem OPLL and OFL (tandem ossification) were selected.
RESULTSAll studies were case series or case report and advocated that the primary therapy for tandem ossification should be operative. The clinical outcomes of surgery were evaluated in most reports, predominantly using the JOA scores. Gender is the only factor which has prognostic value. A higher proportion of women was found in the failure group. A two-stage classification of tandem ossification was developed to relate diagnosis to outcome.
CONCLUSIONSAll patients with suspected ossification of the spinal ligaments should undergo routine MRI screening of the whole spine. The correlation of the classification with surgical treatments needs further studies to validate its usefulness.
Female ; Humans ; Ligamentum Flavum ; pathology ; Male ; Ossification of Posterior Longitudinal Ligament ; classification ; pathology ; Ossification, Heterotopic ; classification ; pathology
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.