Geschmack ist vorhersagbar: Mit FlavorMiner. FlavorMiner heißt das Tool, das IPB-Chemiker und Partner aus Kolumbien jüngst entwickelt haben. Das Programm kann, basierend auf maschinellem Lernen (KI), anhand der…
Seit Februar 2021 bietet Wolfgang Brandt, ehemaliger Leiter der Arbeitsgruppe Computerchemie am IPB, sein Citizen Science-Projekt zur Pilzbestimmung an. Dafür hat er in regelmäßigen Abständen öffentliche Vorträge zur Vielfalt…
Changes in cellular calcium levels are one of the earliest signalling events in plants exposed to pathogens or other exogenous factors. In a genetic screen, we identified an Arabidopsis thaliana ‘changed calcium elevation 1 ’ (cce1 ) mutant with attenuated calcium response to the bacterial flagellin flg22 peptide and several other elicitors. Whole genome re‐sequencing revealed a mutation in ALG12 (Asparagine‐Linked Glycosylation 12 ) that encodes the mannosyltransferase responsible for adding the eighth mannose residue in an α‐1,6 linkage to the dolichol‐PP‐oligosaccharide N ‐glycosylation glycan tree precursors. While properly targeted to the plasma membrane, misglycosylation of several receptors in the cce1 background suggests that N ‐glycosylation is required for proper functioning of client proteins.
Publikation
Rahn, J.; Lennicke, C.; Kipp, A. P.; Müller, A. S.; Wessjohann, L. A.; Lichtenfels, R.; Seliger, B.;Altered protein expression pattern in colon tissue of mice upon supplementation with distinct selenium compoundsProteomics171600486(2017)DOI: 10.1002/pmic.201600486
The essential trace element selenium (Se) is controversially discussed concerning its role in health and disease. Its various physiological functions are largely mediated by Se incorporation in the catalytic center of selenoproteins. In order to gain insights into the impact of Se deficiency and of supplementation with different Se compounds (selenite, selenate, selenomethionine) at defined concentrations (recommended, 150 μg/kg diet; excessive, 750 μg/kg diet) in murine colon tissues, a 20‐week feeding experiment was performed followed by analysis of the protein expression pattern of colon tissue specimens by 2D‐DIGE and MALDI‐TOF MS. Using this approach, 24 protein spots were identified to be significantly regulated by the different Se compounds. These included the antioxidant enzyme peroxiredoxin‐5 (PRDX5), proteins with binding capabilities, such as cofilin‐1 (COF1), calmodulin, and annexin A2 (ANXA2), and proteins involved in catalytic processes, such as 6‐phosphogluconate dehydrogenase (6PGD). Furthermore, the Se compounds demonstrated a differential impact on the expression of the identified proteins. Selected target structures were validated by qPCR and Western blot which mainly confirmed the proteomic profiling data. Thus, novel Se‐regulated proteins in colon tissues have been identified, which expand our understanding of the physiologic role of Se in colon tissue.
Publikation
Lennicke, C.; Rahn, J.; Heimer, N.; Lichtenfels, R.; Wessjohann, L. A.; Seliger, B.;Redox proteomics: Methods for the identification and enrichment of redox-modified proteins and their applicationsProteomics16197-213(2016)DOI: 10.1002/pmic.201500268
PTMs are defined as covalent additions to functional groups of amino acid residues in proteins like phosphorylation, glycosylation, S‐nitrosylation, acetylation, methylation, lipidation, SUMOylation as well as oxidation. Oxidation of proteins has been characterized as a double‐edged sword. While oxidative modifications, in particular of cysteine residues, are widely involved in the regulation of cellular homeostasis, oxidative stress resulting in the oxidation of biomolecules along with the disruption of their biological functions can be associated with the development of diseases, such as cancer, diabetes, and neurodegenerative diseases, respectively. This is also the case for advanced glycation end products, which result from chemical reactions of keto compounds such as oxidized sugars with proteins. The role of oxidative modifications under physiological and pathophysiological conditions remains largely unknown. Recently, novel technologies have been established that allow the enrichment, identification, and characterization of specific oxidative PTMs (oxPTMs). This is essential to develop strategies to prevent and treat diseases that are associated with oxidative stress. Therefore this review will focus on (i) the methods and technologies, which are currently applied for the detection, identification, and quantification of oxPTMs including the design of high throughput approaches and (ii) the analyses of oxPTMs related to physiological and pathological conditions.
Publikation
Venne, A. S.; Solari, F. A.; Faden, F.; Paretti, T.; Dissmeyer, N.; Zahedi, R. P.;An improved workflow for quantitative N-terminal charge-based fractional diagonal chromatography (ChaFRADIC) to study proteolytic events in Arabidopsis thalianaProteomics152458-2469(2015)DOI: 10.1002/pmic.201500014
We applied an extended charge‐based fractional diagonal chromatography (ChaFRADIC) workflow to analyze the N‐terminal proteome of Arabidopsis thaliana seedlings. Using iTRAQ protein labeling and a multi‐enzyme digestion approach including trypsin, GluC, and subtilisin, a total of 200 μg per enzyme, and measuring only one third of each ChaFRADIC‐enriched fraction by LC‐MS, we quantified a total of 2791 unique N‐terminal peptides corresponding to 2249 different unique N‐termini from 1270 Arabidopsis proteins. Our data indicate the power, reproducibility, and sensitivity of the applied strategy that might be applicable to quantify proteolytic events from as little as 20 μg of protein per condition across up to eight different samples. Furthermore, our data clearly reflect the methionine excision dogma as well as the N‐end rule degradation pathway (NERP) discriminating into a stabilizing or destabilizing function of N‐terminal amino acid residues. We found bona fide NERP destabilizing residues underrepresented, and the list of neo N‐termini from wild type samples may represent a helpful resource during the evaluation of NERP substrate candidates. All MS data have been deposited in the ProteomeXchange with identifier PXD001855 (http://proteomecentral.proteomexchange.org/dataset/PXD001855).