|PredRet: Prediction of Retention Time by Direct Mapping between Multiple Chromatographic Systems|
Jan Stanstrup, Steffen Neumann, Urška Vrhovšek
Retention time (RT) information is under-utilized in LC-MS based metabolomics and sharing of RTs between systems is not currently possible. PredRet is a new system that allows highly accurate mapping and prediction of RTs between LC systems.
|Profiling of metabolomic changes induced by testosterone esters in pig plasma and urine|
Kamil Stastny, Martin Faldyna, Milan Franek
In this study, metabolic fingerprinting to discriminate between pigs treated with 17ß-testosteron esters and control animals has been investigated. Multivariate statistical analysis showed significant metabolic differences between test and control groups on day 28 after aplication of the testosterone hormonal preparation.
|A Simple Plate Based Assay Using pH Sensor Dye to Screen for Internalizing Antibody|
Nidhi Nath, Becky Godat, Cesear Corona, Chad Zimprich, Mark McDougall, Poncho Meisenheimer, Marjeta Urh
Receptor mediated internalization is a key mechanism of action (MOA) for antibody drug conjugates (ADCs). However, current methods of studying antibody internalization have several limitations including: 1) A multistep process not suitable for screening; 2) Low signal-to-background ratios; 3) Not suitable for kinetic measurements. We have developed a method that mitigates problems associated with traditional internalization assays.
|An IgG Cleaving Protease from S equi with Improved Activity Against Mouse IgGs|
Chris Hosfield, Philip Compton, Luca Fornelli, Paul Thomas, Neil L. Kelleher, Michael Rosenblatt & Marjeta Urh
Here we have expressed and purified a modified recombinant IdeZ, and show that it has significantly improved activity against mouse IgG2a and IgG3 subclasses when compared to IdeS. We also demonstrate the use of IdeZ in LC-MS workflows for human and mouse IgG characterization.
|Minimizing Carry-over for High Throughput Analysis|
Christian Berchtold1, Reto Bolliger2, Guenter Boehm2, Götz Schlotterbeck1
Minimal carry-over is a prerequisite for high throughput analysis. However, minimized carry-over and cycle time are competing and a careful optimization is mandatory. In this study the influence of wash conditions on carry-over of various compounds was investigated. A strategy to minimize carry-over was developed. The influences of different wash tasks were investigated. Finally the contribution of different system components such as injector valve or column was studied.
|A Comparison of ITEX Dynamic Headspace–GC/MS to other Enrichment Techniques for Analysis of Flavoring Compounds|
Douglas Doster1; Roger Pearson1; Sean Eppel1; Ken Rice1; Tom Flug2; Brian Peat2; Guenter Boehm2
Enrichment techniques are commonly used for the analysis of flavoring compounds in different matrices with GC/MS. Analysis of flavoring compounds is done by purge & trap, SPME or headspace, depending on requirements for sensitivity. The In-Tube Ex¬traction (ITEX) Dynamic Headspace uses a micro trap filled with an adsorbent material to efficiently extract the compounds. Here we evaluate if the ITEX can be used to effectively analyze for these compounds and reduce the analyst’s time involved.
|Automated in-gel digestion on a commercial autosampler directly coupled to nanoLC-MS/MS|
Achermann François, Bolliger Reto, Buchs Natasha, Doiron Nicholas, Lagache Braga Sophie, Heller Manfred, Boehm Guenter
SDS-PAGE separates protein samples from LC-MS incompatible contaminations, and is frequently used to fractionate proteins of entire proteomes. One disadvantage is that gel lanes have to be cut into many slices, followed by in-gel digestion of proteins and extraction of peptides. The number of these gel slices goes into the hundreds, rendering this process very repetitive and prone to mistakes and errors during sample handling. Automation reduces such risks and improves reproducibility.
|Automated sample preparation workflows for quantitative proteomics applications|
Oliver Popp1, Lucas Luethy2, Tamara Kanashova1, HaAn Nguyen1, Julia Kikuchi1, Guenter Boehm2, Thomas Blenkers3, Andreas Bruchmann3, Gunnar Dittmar1
Mass spectrometry based proteomics requires large scale identification of peptides, and depends upon efficient sample preparation. Recently, we presented two automated protein-digestion setups, in-solution and in-gel digestion. We extended these techniques by implementing dimethyl labelling (DML). Furthermore, we established an automated phospho-peptide (PP) enrichment procedure in a 96-well formate, generating phospho-proteomic data in very short time.
|Optimization of a Vacuum Ultraviolet Photoionization source for Gas Chromatography used with a High Resolution Time of Flight Mass Spectrometer|
Lloyd Allen and Viatcheslav Artaev
-Tune solution allows optimization of ion source parameters for
both proton transfer and direct ionization
-Independent ionization processes exist for M+ and MH+
-Optimizing for dopant signal intensity yields inferior results
-Degree of fragmentation remains relatively constant over a
range of source conditions