Natalia Govorukhina

A DNAJB Chaperone Subfamily with HDAC-Dependent Activities Suppresses Toxic Protein Aggregation

Misfolding and aggregation are associated with cytotoxicity in several protein folding diseases. A large network of molecular chaperones ensures protein quality control. Here, we show that within the Hsp70, Hsp110, and Hsp40 (DNAJ) chaperone families, members of a subclass of the DNAJB family (particularly DNAJB6b and DNAJB8) are superior suppressors of aggregation and toxicity of disease-associated polyglutamine proteins. The antiaggregation activity is largely independent of the N-terminal Hsp70-interacting J-domain. Rather, a C-terminal serine-rich (SSF-SST) region and the C-terminal tail are essential. The SSF-SST region is involved in substrate binding, formation of polydisperse oligomeric complexes, and interaction with histone deacetylases (HDAC4, HDAC6, SIRT2). Inhibiting HDAC4 reduced DNAJB8 function. DNAJB8 is (de)acetylated at two conserved C-terminal lysines that are not involved in substrate binding, but do play a role in suppressing protein aggregation. Combined, our data provide a functional link between HDACs and DNAJs in suppressing cytotoxic protein aggregation.

Sample preparation of human serum for the analysis of tumor markers. Comparison of different approaches for albumin and gamma-globulin depletion.

LC-MS is a powerful method for the sensitive detection of proteins and peptides in biological fluids. However, the presence of highly abundant proteins often masks those of lower abundance and thus generally prevents their detection and identification in proteomic studies. In human serum the most abundant proteins are albumin and gamma-globulins. We tested several approaches to specifically reduce the level of these proteins based on either specific antibodies, dye ligands (for albumin) and protein A or G (for gamma-globulins). The resulting, depleted serum was analyzed by sodium dodecylsulfate-polyacrylamide gel electrophoresis and LC-MS for the residual presence of these abundant proteins as well as for other serum proteins that should remain after depletion. To test the applicability of this method to real-life samples, depleted serum of a cervical cancer patient was analyzed for the presence of a specific tumor marker protein SCCA1 (squamous cell carcinoma antigen 1; P29508), which is present at ng/ml concentrations. The results demonstrate that SCCA1 can be detected by LC-MS in patient serum following depletion of albumin and gamma-globulins thus opening the possibility of screening patient sera for other, so far unknown, tumor markers.

Glycopeptide enrichment and separation for protein glycosylation analysis

Protein glycosylation plays key roles in many biological processes. In addition, alterations in protein glycosylation have been related to different diseases, as well as may affect the properties of recombinant proteins used as human therapeutics. For this reason, protein glycosylation analysis is of main interest in biomedical and biopharmaceutical research. Although recent advances in LC-MS analysis have made possible glycoprotein glycosylation site identification, characterization of glycoprotein glycan structures, as well as glycoprotein identification and quantification, protein glycosylation analysis in complex samples still remains a difficult task. This is due to low proportions of glycopeptides in comparison to peptides obtained after glycoprotein digestion, the suppression of the glycopeptide MS signals in the presence of peptides, and the high heterogeneity of glycopeptides. Thus, in the recent years, continuous efforts have been devoted to the development of glycopeptide enrichment and separation strategies to facilitate and improve glycoprotein glycosylation analysis in complex samples. This review summarizes the different methodologies that can be employed for glycopeptide enrichment/separation from complex samples including methods based on lectin affinity enrichment, covalent interactions, or chromatographic separations and solid-phase extraction.

Multidimensional chromatography coupled to mass spectrometry in analysing complex proteomics samples

Multidimensional chromatography coupled to mass spectrometry (LC(n)-MS) provides more separation power and an extended measured dynamic concentration range to analyse complex proteomics samples than one dimensional liquid chromatography coupled to mass spectrometry (1D-LC-MS). This review gives an overview of the most important aspects of LC(n)-MS with respect to optimizing peak capacity and evaluate orthogonality. We review recent developments in LC(n)-MS to analyse proteomics samples from the analyst point of view and give an overview over methods and future developments to process LC(n)-MS data for comprehensive differential protein expression profiling. Examples from our research, such as combining protein fractionation using high temperature reverse phase (RP) columns followed by analysis of the trypsin-digested fractions by RP LC-MS, serve to highlight possibilities and shortcomings of present-day approaches. Other LC(n)-MS systems that have been used to analyse highly complex shotgun proteomic samples, such as the combination of RP columns using low and high pH eluents or the combination of hydrophilic interaction liquid chromatography (HILIC) with RP-MS is discussed in detail.

Influence of clotting time on the protein composition of serum samples based on LC-MS data.

Many large, disease-related biobanks of serum samples have been established prior to the widespread use of proteomics in biomarker research. These biobanks may contain relevant information about the disease process, response to therapy or patient classifications especially with respect to long-term follow-up that is otherwise very difficult to obtain based on newly initiated studies, particularly in the case of slowly developing diseases. An important parameter that may influence the composition of serum but that is often not exactly known is clotting time. We therefore investigated the influence of clotting time on the protein and peptide composition of serum by label-free and stable-isotope labeling techniques. The label-free analysis of trypsin-digested serum showed that the overall pattern of LC-MS data is not affected by clotting times varying from 2 to 8h. However, univariate and multivariate statistical analyses revealed that proteins that are directly involved in blood clot formation, such as the clotting-derived fibrinopeptides, change significantly. This is most easily detected in the supernatant of acid-precipitated, immunodepleted serum. Stable-isotope labeling techniques show that truncated or phosphorylated forms of fibrinopeptides A and B increase or decrease depending on clotting time. These patterns can be easily recognized and should be taken into consideration when analyzing LC-MS data using serum sample collections of which the clotting time is not known. Next to the fibrinopeptides, leucine-rich alpha-2-glycoprotein (P02750) was shown to be consistently decreased in samples with clotting times of more than 1h. For prospective studies, we recommend to let blood clot for at least 2h at room temperature using glass tubes with a separation gel and micronized silica to accelerate blood clotting.

Susceptibility to COPD: differential proteomic profiling after acute smoking.

Cigarette smoking is the main risk factor for COPD (Chronic Obstructive Pulmonary Disease), yet only a subset of smokers develops COPD. Family members of patients with severe early-onset COPD have an increased risk to develop COPD and are therefore defined as “susceptible individuals”. Here we perform unbiased analyses of proteomic profiles to assess how “susceptible individuals” differ from age-matched “non-susceptible individuals” in response to cigarette smoking. Epithelial lining fluid (ELF) was collected at baseline and 24 hours after smoking 3 cigarettes in young individuals susceptible or non-susceptible to develop COPD and older subjects with established COPD. Controls at baseline were older healthy smoking and non-smoking individuals. Five samples per group were pooled and analysed by stable isotope labelling (iTRAQ) in duplicate. Six proteins were selected and validated by ELISA or immunohistochemistry. After smoking, 23 proteins increased or decreased in young susceptible individuals, 7 in young non-susceptible individuals, and 13 in COPD in the first experiment; 23 proteins increased or decreased in young susceptible individuals, 32 in young non-susceptible individuals, and 11 in COPD in the second experiment. SerpinB3 and Uteroglobin decreased after acute smoke exposure in young non-susceptible individuals exclusively, whereas Peroxiredoxin I, S100A9, S100A8, ALDH3A1 (Aldehyde dehydrogenase 3A1) decreased both in young susceptible and non-susceptible individuals, changes being significantly different between groups for Uteroglobin with iTRAQ and for Serpin B3 with iTRAQ and ELISA measures. Peroxiredoxin I, SerpinB3 and ALDH3A1 increased in COPD patients after smoking. We conclude that smoking induces a differential protein response in ELF of susceptible and non-susceptible young individuals, which differs from patients with established COPD. This is the first study applying unbiased proteomic profiling to unravel the underlying mechanisms that induce COPD. Our data suggest that SerpinB3 and Uteroglobin could be interesting proteins in understanding the processes leading to COPD.

Multidimensional separation of tryptic peptides from human serum proteins using reversed-phase, strong cation exchange, weak anion exchange, and fused-core fluorinated stationary phases

Proteome profiling of crude serum is a challenging task due to the wide dynamic range of protein concentrations and the presence of high-abundance proteins, which cover >90% of the total protein mass in serum. Peptide fractionation on strong cation exchange, weak anion exchange in the electrostatic repulsion hydrophilic interaction chromatography (ERLIC) mode, RP C18 at pH 2.5 (low pH), fused-core fluorinated at pH 2.5, and RP C18 at pH 9.7 (high pH) stationary phases resulted in two to three times more identified proteins and three to four times more identified peptides in comparison with 1D nanoChip-LC-MS/MS quadrupole TOF analysis (45 proteins, 185 peptides). The largest number of peptides and proteins was identified after prefractionation in the ERLIC mode due to the more uniform distribution of peptides among the collected fractions and on the RP column at high pH due to the high efficiency of RP separations and the complementary selectivity of both techniques to low-pH RP chromatography. A 3D separation scheme combining ERLIC, high-pH RP, and low-pH nanoChip-LC-MS/MS for crude serum proteome profiling resulted in the identification of 208 proteins and 1088 peptides with the lowest reported concentration of 11 ng/mL for heat shock protein 74.

Proteomic analysis of human epithelial lining fluid by microfluidics-based nanoLC-MS/MS: a feasibility study.

Microfluidics‐based nanoLC‐MS/MS (chipLC‐MS/MS) was used to identify and quantify proteins in epithelial lining fluid (ELF), collected during bronchoscopy from the main bronchi of chronic obstructive pulmonary disease (COPD) patients and healthy controls using microprobes. ELF is a biofluid that is well suited to study pathophysiological processes in the lung, because it contains high concentrations of biologically active molecules. 1D‐PAGE followed by in‐gel tryptic digestion and chipLC‐MS/MS resulted in identification of approximately 300 proteins. A comparative study of ELF from COPD patients and non‐COPD controls using chemical stable isotope labeling (iTRAQ®‐8Plex) showed that the levels of lactotransferrin, high‐mobility group protein B1 (HMGB 1), alpha 1‐antichymotrypsin and cofilin‐1 differed significantly in ELF from COPD patients and non‐COPD controls (p‐values < 0.05). These results were reproduced in another, independent set of ELF samples from COPD patients and non‐COPD controls and further validated by immunohistochemistry. This study shows the feasibility of performing chipLC‐MS/MS and quantitative proteomics in human ELF.

Antibody-free LC-MS/MS quantification of rhTRAIL in human and mouse serum

The major challenge in targeted protein quantification by LC-MS/MS in serum lies in the complexity of the biological matrix with regard to the wide diversity of proteins and their extremely large dynamic concentration range. In this study, an LC-MS/MS method was developed for the simultaneous quantification of the 60-kDa biopharmaceutical proteins recombinant human tumor necrosis factor-related apoptosis-inducing ligand wild type (rhTRAIL(WT)) and its death receptor 4 (DR4)-specific variant rhTRAIL(4C7) in human and mouse serum. Selective enrichment of TRAIL was accomplished by immobilized metal affinity chromatography (IMAC), which was followed by tryptic digestion of the enriched sample and quantification of a suitable signature peptide. For absolute quantification, (15)N-metabolically labeled internal standards of rhTRAIL(WT) and rhTRAIL(4C7) were used. Since the signature peptides that provided the highest sensitivity and allowed discrimination between rhTRAIL(WT) and rhTRAIL(4C7) contained methionine residues, we oxidized these quantitatively to their sulfoxides by the addition of 0.25% (w/w) hydrogen peroxide. The final method has a lower limit of quantification of 20 ng/mL (ca. 350 pM) and was fully validated according to current international guidelines for bioanalysis. To show the applicability of the LC-MS/MS method for pharmacokinetic studies, we quantified rhTRAIL(WT) and rhTRAIL(4C7) simultaneously in serum from mice injected intraperitoneally at a dose of 5 mg/kg for each protein. This is the first time that two variants of rhTRAIL differing by only a few amino acids have been analyzed simultaneously in serum, an approach that is not possible by conventional enzyme-linked immuno-sorbent assay (ELISA) analysis.

Proteomics of Epithelial Lining Fluid Obtained by Bronchoscopic Microprobe Sampling

Epithelial lining fluid (ELF) forms a thin fluid layer that covers the mucosa of the alveoli, the small airways, and the large airways. Since it constitutes the first barrier between the lung and the outer world, it is an interesting target for proteomics studies that focus on lung disease. Bronchoscopic microprobe (BMP) sampling of ELF uses small probes with an absorptive tip that are introduced bronchoscopically. In contrast to other methods used so far for the collection of biofluids from the lung (e.g., bronchoalveolar lavage fluid, induced sputum), this technique has the advantage that ELF is not diluted and contains high concentrations of biomolecules. In addition, the investigated location in the tracheobronchial tree is well defined, and there is no contamination with oropharyngeal bacteria or saliva. Despite occasional blood contamination of the probes by scratching the mucosa of the airways, the proteomic analysis of microprobe-sampled ELF opens new possibilities for research in lung diseases. Our work focuses particularly on the induction and progression of cigarette smoke-induced Chronic Obstructive Pulmonary Disease (COPD). In this chapter, we describe the practical aspects of sampling ELF followed by a detailed description of proteomics analysis by LC-MS/MS after protein separation by SDS-PAGE and in-gel digestion. As an example, we apply this proteomic platform to the identification and quantification of proteins in ELF from COPD patients and healthy subjects.