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Proteomic analysis is the large-scale identification and characterization of proteins including post translational modifications. Proteomics encompasses a number of approaches including bottom-up and top-down workflows which are widely used independently and complementary as tools for the successful study of protein species. However, up to the present day these techniques have not been able to overcome every analytical limitation. Mass spectrometry has played a vital role alongside proteomics in providing the required analytical means of detecting protein amounts down to the atomole range. Soft ionization methods such as matrix assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI) have permitted the transfer of peptides and intact proteins into the gas phase without extensive degradation. The introduction of recent developments in MALDI technology such as the highly sensitive 4-chloro-alpha-cyanocinnamic acid matrix (Cl-CCA) as well as the commercial availability of a MALDI-LTQ-Orbitrap which boosts peptide mass accuracy below 3 parts per million (ppm), have offered new prospective in protein analysis. The aim of the current study is to incorporate these new aspects and provide further advancements in gel-based as well as gel-free proteomic workflows.
Peptides of proteolytically digested proteins are routinely analyzed by means of peptide mass fingerprinting (PMF) often combined with MS/MS analyses to complement and substantiate PMF results by peptide sequence information. The most widely used protease for enzymatic digestion is trypsin, since it exhibits a very specific cleavage behavior limited to C-terminal hydrolyses after basic amino acids. However, less specific enzymes such as chymotrypsin, elastase and pepsin have emerged as useful tools in the analysis of particular protein classes e.g. membrane, cereal, and phosphorylated proteins. In this work a comprehensive bottom-up proteomic investigation including in-solution and in-gel protein digestions of analytes covering small to large, acidic to basic, and hydrophobic to hydrophilic proteins in combination with a series of less specific enzymes are presented in order to show the superiority of the novel MALDI matrix Cl-CCA. The Cl-CCA matrix proved to be highly superior compared to standard α-cyano-4-hydroxycinnamic acid (CHCA) since an average detection of more than 2- to 3-fold peptide amount was possible depending on the used protease and, therefore, resulting in strongly increased sequence coverage. Additionally, protein identification of chymotrypsin and elastase in-gel digested protein standards was evaluated. The MALDI-LTQ-Orbitrap providing peptide mass accuracy below and up to 3 ppm in combination with Cl-CCA as matrix and newly optimized digestion conditions led to unambiguous protein identifications of all chymotryptic digests outperforming its tryptic counterparts in the case of hydrophobic bacteriorhodopsin and α-globin from hemoglobin A (α-HgbA). In addition, significantly higher sequence coverage and increased number of detected peptides was acquired. Moreover, a proposed workaround for elastase digestions was capable of providing a solution for successful identification results.
Apart from digestions of singly separated proteins, solution isoelectic focusing (sIEF) was evaluated. OFFGEL fractionation is an efficient means of fractionating peptides and proteins according to their isoelectric point (pI) values through immobilized pH gel (IPG) strips after which samples are recovered in solution. Consequently, an issue of peptide recovery arises as a category of peptides relatively insoluble to the recovery solution should be present. A method was developed including the scraping of gel matrix from the IPG strips and peptide extraction using acetonitrile as organic solvent in combination with analytical techniques such as nLC-MALDI-MS/MS for peptide identification. The nature of the peptide species remaining in-gel was analysed and attributed to peptide solubility. A general trend in which a high percentage of neutral and hydrophobic peptides remaining entrapped in the IPG gel strip was observed.
The present work also examines a new top-down proteomic workflow involving protein elution from cleavable gels containing the labile crosslinker ethylene-glycol-diacrylate (EDA). Protein amounts of as low as 100 ng loaded onto EDA gels were detected using MALDI-TOF MS in the linear acquisition mode. Proteins from 8.5 up to 78 kDa were successfully measured including a hydrophobic 15 kDa core protein attaining a GRAVY score of +0.079. Additionally, the method was compatible with one dimensional protein separation as well as for 2-D IEF/SDS-PAGE. Lastly, two methods for protein identification were tested and found to be compatible to the proposed technique.
NK cells are part of the innate immune system, and are important players in the body’s first defence line against virus-infected and malignantly transformed cells. While T cells recognize neoplastic cells in an MHC-restricted fashion, NK cells do not require prior sensitization and education about the target. In leukemia and lymphoma patients undergoing allogeneic hematopoietic stem cell transplantation not only T cells but also NK cells have been found to mediate potent graft-versus-tumor effects. Hence, autologous or donor-derived NK cells hold great promise for cancer immunotherapy. Since the generation of highly purified NK cell products for clinical applications is labor-intensive and time consuming, established human NK cell lines such as NK-92 are also being considered for clinical protocols. NK-92 cells display phenotypic and functional characteristics similar to activated primary NK cells. While NK-92 cells are highly cytotoxic towards malignant cells of hematologic origin, they do not affect healthy human tissues. NK-92 cells can be expanded under GMP-compliant conditions, and can therefore be provided in sufficient numbers with defined phenotypic characteristics for clinical applications. Safety of NK-92 cells for adoptive immunotherapy was already shown in two phase I/II clinical trials...