Ebbing P. de Jong

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Whole human saliva possesses tremendous potential in clinical diagnostics, particularly for conditions within the oral cavity such as oral cancer. Although many have studied the soluble fraction of whole saliva, few have taken advantage of the diagnostic potential of the cells present in saliva, and none have taken advantage of proteomics capabilities for(More)
BACKGROUND Oral cancer survival rates increase significantly when it is detected and treated early. Unfortunately, clinicians now lack tests which easily and reliably distinguish pre-malignant oral lesions from those already transitioned to malignancy. A test for proteins, ones found in non-invasively-collected whole saliva and whose abundances distinguish(More)
We have explored the use of electrostatic repulsion hydrophilic interaction chromatography (ERLIC) as an alternative to the gold-standard in shotgun proteomics: reversed-phase (RP) LC for online ESI-MS/MS. Conditions for sample solubilization and initial gradient conditions were optimized to strike a balance between peptide solubility and maximum peptide(More)
Mammalian target of rapamycin (mTOR) enhances translation from a subset of messenger RNAs containing distinct 5'-untranslated region (UTR) sequence features. Here we identify 3'-UTR shortening of mRNAs as an additional molecular signature of mTOR activation and show that 3'-UTR shortening enhances the translation of specific mRNAs. Using genetic or chemical(More)
BACKGROUND Proteomic studies in saliva have demonstrated its potential as a diagnostic biofluid, however the salivary peptidome is less studied. Here we study the effects of several sample collection and handling factors on salivary peptide abundance levels. METHODS Salivary peptides were isolated using an ultrafiltration device and analyzed by tandem(More)
As the main catalytic and structural molecules within living systems, proteins are the most likely biomolecules to be affected by radiation exposure. Proteomics, the comprehensive characterization of proteins within complex biological samples, is therefore a research approach ideally suited to assess the effects of radiation exposure on cells and tissues.(More)
Researchers are increasingly turning to label-free MS1 intensity-based quantification strategies within HPLC-ESI-MS/MS workflows to reveal biological variation at the molecule level. Unfortunately, HPLC-ESI-MS/MS workflows using these strategies produce results with poor repeatability and reproducibility, primarily due to systematic bias and complex(More)
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