EuPA Open Proteomics最新文献

A protein biomarker discovery workflow was applied to plasma samples from patients at different stages of diabetic kidney disease. The proteomics platform produced a panel of significant plasma biomarkers that were statistically scrutinised against the current gold standard tests on an analysis of 572 patients. Five proteins were significantly associated with diabetic kidney disease defined by albuminuria, renal impairment (eGFR) and chronic kidney disease staging (CKD Stage ≥1, ROC curve of 0.77). The results prove the suitability and efficacy of the process used, and introduce a biomarker panel with the potential to improve diagnosis of diabetic kidney disease.

We compared positional weight matrix-based prediction methods for transcription factor (TF) binding sites using selected fraction of ChIP-seq data with the help of partial AUC measure (limited to false positive rate 0.1, that is the most relevant for the application of the TF search in the genome scale). Comparison of three prediction methods—additive, multiplicative and information-vector based (MATCH) showed an advantage of the MATCH method for majority of transcription factors tested. We demonstrated that application of TF site identifying methods can help to connect the proteomics and phosphoproteomics world of signaling networks to gene regulation and transcriptomics world.

We present an “upstream analysis” strategy for causal analysis of multiple “-omics” data. It analyzes promoters using the TRANSFAC database, combines it with an analysis of the upstream signal transduction pathways and identifies master regulators as potential drug targets for a pathological process. We applied this approach to a complex multi-omics data set that contains transcriptomics, proteomics and epigenomics data. We identified the following potential drug targets against induced resistance of cancer cells towards chemotherapy by methotrexate (MTX): TGFalpha, IGFBP7, alpha9-integrin, and the following chemical compounds: zardaverine and divalproex as well as human metabolites such as nicotinamide N-oxide.

A preliminary mass spectrometry based shotgun protocol was set up to compare the peptidome of plasma samples from healthy and hemorrhagic shock rats with the aim of verifying the possible role of uncontrolled proteolytic activity in circulatory shock. Since the hemorrhagic shock model requires heparin as anticoagulant, a preliminary experiment using plasma sample obtained in the presence/absence of heparin from healthy rats was performed to determine whether its presence is fully compatible with the peptidomic protocol proposed. The entire protocol was tested in a pilot experiment to compare the peptidome of healthy or heparin-anticoagulated rats subjected to hemorrhagic shock.

Food allergies are a relevant health problem and symptoms range from mild to severe life-threatening reactions. With the help of up to date proteomics the causative food allergens can be identified from individual food sources. A short overview on the application of proteomics to assess the physicochemical properties of food allergens is presented.

The proteome of the DAOY medulloblastoma cell line has been investigated by an LC–MS top-down platform. This approach, unlike bottom-up ones, allows identifying proteins and peptides in their intact/native forms, disclosing post-translational modifications, proteoforms and naturally occurring peptides. Indeed, 25 out of the 53 proteins identified, were not previously characterized in DAOY cells. Most of them were functionally interconnected, being mainly involved in binding, catalytic and structural activities, and metabolic processes. The top-down approach, applied in this preliminary study, disclosed the presence of several naturally occurring peptide fragments that characterize DAOY cells.

Aging is a universal phenomenon involving the whole body and is characterized by metabolic and physiological decline, leading to cardiovascular defects and heart failure.

To characterize the molecular basis of physiological cardiac aging, the proteomic profiles of Sprague Dawley rat hearts of 6, 22 and 30 months were analysed by DIGE and immunoblotting.

Results indicate changes in myosin binding protein C, aldehyde dehydrogenase, serpins and sirtuin-3 which protects from the opening of the mitochondrial permeability transition pore induced by cyclophilin D increment.

Conversely, an increase of fusion, a decrease of mitochondrial fission and the activation of the non-canonical autophagy pathway were observed. These results support the hypothesis of successful aging in this rat model.

In metabolomics there is an ever-growing need for faster and more comprehensive analysis methods to cope with the increase of biological studies. Direct infusion Fourier-transform ion cyclotron-resonance mass spectrometry (DI-FTICR-MS) is used in non-targeted metabolomics to obtain high-resolution snapshots of the metabolic state of a system. In any metabolic profiling study, the establishment of an effective metabolite extraction protocol is paramount. We developed an improved metabolite extraction method, compatible with DI-FTICR-MS-based metabolomics, using grapevine leaves. This extraction protocol allowed the extraction of polar and non-polar compounds, covering all major classes found in plants and increasing metabolome coverage.

Antibody-drug-conjugates (ADC) are a growing class of anticancer biopharmaceuticals. Conjugation of cysteine linked ADCs, requires initial reduction of mAb inter-chain disulfide bonds, as the drugs are attached via thiol chemistry. This results in the active mAb moiety being transformed from a covalently linked tetramer to non-covalently linked complexes, which hinders precise determination of drug load with LC–MS. Here, we show how the addition of the charge reducing agent triethylammonium acetate (TEAA) preserves the intact mAb structure, is well suited to the study of cysteine linked conjugates and facilitates easy drug load determination by direct infusion native MS.