Project description:Background: Macrophage-based immune dysregulation plays a critical role in development of delayed gastric emptying in animal models of diabetes. Human studies have also revealed loss of anti-inflammatory macrophages and increased expression of genes associated with pro-inflammatory macrophages in full thickness gastric biopsies from gastroparesis patients. Aim: We aimed to determine broader protein expression (proteomics) and protein-based signaling pathways in full thickness gastric biopsies of diabetic (DG) and idiopathic gastroparesis (IG) patients. Additionally, we determined correlations between protein expressions, gastric emptying and symptoms. Methods: Full-thickness gastric antrum biopsies were obtained from nine DG, seven IG patients and five non-diabetic controls. Aptamer-based SomaLogic tissue scan that quantitatively identifies 1300 human proteins was used. Protein fold changes were computed, and differential expressions were calculated using Limma. Ingenuity Pathway Analysis and correlations were carried out. Multiple-testing corrected p-values <0.05 were considered statistically significant. Results: 73 proteins were differentially expressed in DG, 132 proteins in IG and 40 proteins were common to DG and IG. In both DG and IG, “Role of Macrophages, Fibroblasts and Endothelial Cells” was the most statistically significant altered pathway (DG FDR: 7.9x10-9; IG FDR: 6.3x10-12). In DG, properdin expression correlated with GCSI-bloating (r: -0.99, FDR: 0.02) and expressions of prostaglandin G/H synthase 2, protein kinase C zeta type and complement C2 correlated with 4 hr gastric retention (r: -0.97, FDR: 0.03 for all). No correlations were found between proteins and symptoms or gastric emptying in IG. Conclusions: Protein expression changes suggest a central role of macrophage-driven immune dysregulation and complement activation in gastroparesis.
Project description:Dilated cardiomyopathy (DCM) is the most common form of cardiomyopathy and main indication for heart transplantation in children. Therapies specific to pediatric DCM remains limited due to lack of a disease model. Our previous study showed that treatment of neonatal rat ventricular myocytes (NRVMs) with non-failing or DCM pediatric patient serum activates the fetal gene program (FGP). Here we show that serum treatment with Proteinase K prevents activation of the FGP, whereas RNase treatment exacerbates it, suggesting that circulating proteins, but not circulating microRNAs, promote these pathological changes. Evaluation of the protein secretome showed that midkine (MDK) is up-regulated in DCM serum, and NRVM treatment with MDK activates the FGP. Changes in gene expression in serum-treated NRVMs, evaluated by next-generation RNA sequencing (RNA-Seq), indicates extracellular matrix remodeling and focal adhesion pathways are upregulated in pediatric DCM serum and serum-treated NRVMs, suggesting alterations in cellular stiffness. Cellular stiffness was evaluated by Atomic Force Microscopy, which showed an increase in stiffness in DCM serum-treated NRVMs. Of the proteins increased in DCM sera, secreted frizzled related protein 1 (sFRP1) was a potential candidate for the increase in cellular stiffness, and sFRP1 treatment of NRVMs recapitulated the increase in cellular stiffness observed in response to DCM-serum treatment. Our results show that serum circulating proteins promote pathological changes in gene expression and cellular stiffness, and circulating miRNAs are protective against pathological changes.
Project description:In this study, we evaluated the utility of proteomics to identify plasma proteins in healthy participants from a phase I clinical trial with IFNβ-1a and pegIFNβ-1a biologics to identify potential pharmacodynamic (PD) biomarkers. Using a linear mixed-effects model with repeated measurement for product-time interaction, we found that 248 and 528 analytes detected by the SOMAscan® assay were differentially expressed (p-value < 6.86E-06) between therapeutic doses of IFNβ-1a or pegIFNβ-1a, and placebo, respectively. We further prioritized signals based on peak change, area under the effect curve over the study duration, and overlap in signals from the two products. Analysis of prioritized datasets indicated activation of IFNB1 signaling and an IFNB signaling node with IL-6 as upstream regulators of the plasma protein patterns from both products. Increased TNF, IL-1B, IFNG, and IFNA signaling also occurred early in response to each product suggesting a direct link between each product and these upstream regulators. In summary, we identified longitudinal global PD changes in a large array of new and previously reported circulating proteins in healthy participants treated with IFNβ-1a and pegIFNβ-1a that may help identify novel single proteomic PD biomarkers and/or composite PD biomarker signatures as well as provide insight into the mechanism of action of these products. Independent replication is needed to confirm present proteomic results and to support further investigation of the identified candidate PD biomarkers for biosimilar product development.
Project description:Helicobacter pylori, which is known as pathogens of various gastric diseases, have many types of genome sequence variants. That is part of the reason why pathogenesis and infection mechanisms of the H. pylori-driven gastric diseases have not been well clarified yet. Here we performed a large-scale proteome analysis to profile the heterogeneity of the proteome expression of 7 H. pylori strains by using LC/MS/MS-based proteomics approach combined with a customized database consisting of non-redundant tryptic peptide sequences derived from full genome sequences of 52 H. pylori strains. The non-redundant peptide database enabled us to identify more peptides in the database search of MS/MS data, compared with a simply merged protein database. Using the approach we performed proteome analysis of genome-unknown strains of H. pylori in as large-scale as genome-known ones. Clustering of the H. pylori strains using the proteome profiling slightly differed from the genome profiling and more clearly divided the strains into two groups based on the isolated area. Furthermore, we also identified phosphorylated proteins and sites of the H. pylori strains and obtained phosphorylation motif located in the N-terminus, which are commonly observed in bacteria.
Project description:Maternal plasma samples collected longitudinally from pregnant women were profiled using SomaLogic aptamer-based assays in women with normal pregnancy and those who delivered preterm. DiagnosisGA is the gestational age at diagnosis with any disease indicated by the Group variable, and it is set to NA for normal pregnancies. In the Group variable, sPTD stands for spontaneous preterm delivery, and PPROM for preterm premature rupture of membranes. Additional longitudinal samples of the controls, including the two samples included herein, are also available and described in PMID: 28738067.
Project description:Saccharomyces cerevisiae is unique among yeasts for its ability to grow rapidly in the complete absence of oxygen. S. cerevisiae is therefore an ideal eukaryotic model to study physiological adaptation to anaerobiosis. Recent transcriptome analyses have identified hundreds of genes that are transcriptionally regulated by oxygen availability but the relevance of this cellular response has not been systematically investigated at the key control level of the proteome. Therefore, the proteomic response of the S. cerevisiae to anaerobiosis was investigated using metabolic stable isotope labeling in aerobic and anaerobic glucose-limited chemostat cultures, followed by proteome analysis to relatively quantify protein expression. Using independent replicate cultures and stringent statistical filtering, a robust dataset of 474 quantified proteins was generated, of which 249 showed differential expression levels. While some of these changes were consistent with previous transcriptome studies, many responses of S. cerevisiae to oxygen availability were hitherto unreported. Comparison of transcriptome and proteome from identical cultivations yielded strong evidence for post-transcriptional regulation of key cellular processes, including glycolysis, amino-acyl tRNA synthesis, purine-nucleotide synthesis and amino-acid biosynthesis. The use of chemostat cultures provided well-controlled and reproducible culture conditions, which are essential for generating robust datasets at different cellular information levels. Integration of transcriptome and proteome data led to new insights in the physiology of anaerobically growing yeast that would not have been apparent from differential analyses at either the messenger RNA or protein level alone, thus illustrating the power of multi-level studies in yeast systems biology. Protein levels versus transcript level: Systematic analysis of the control levels at which the yeast response to anaerobiosis takes place was performed using previously published transcript data obtained from yeast cultures grown under strictly identical conditions as described for the current proteome analysis. Affymetrix microarrays from five aerobic and four anaerobic independent culture replicates were used for this analysis. These comparison data are summarized in the table below. These array data are publicly available at the gene expression repository Gene Expression Omnibus under accession number GSE4804. Keywords: proteomic, nanoflow-LC-MS/MS
Project description:Neurons are categorised into many subclasses, and each subclass displays different morphology, expression patterns, connectivity and function. Changes in protein synthesis are critical for neuronal function. Therefore, analysing protein expression patterns in individual neuronal subclass will elucidate molecular mechanisms for memory and other functions. In this study, we used neuronal subclass-selective proteomic analysis with cell-selective Bio-Orthogonal Non-Canonical Amino acid Tagging (BONCAT). We selected Caenorhabditis elegans as a model organism because it shows diverse neuronal functions and simple neural circuitry. We performed proteomic analysis of all neurons or AFD subclass neurons that regulate thermotaxis in C. elegans. Mutant phenylalanyl tRNA synthetase (MuPheRS) was selectively expressed in all neurons or AFD subclass neurons, and azido-phenylalanine was incorporated into proteins in cells of interest. Azide-labelled proteins were enriched and proteomic analysis was performed. We identified 4412 and 1834 proteins from strains producing MuPheRS in all neurons and AFD subclass neuron, respectively. F23B2.10 (RING-type domain-containing protein) was identified only in neuronal cell-enriched proteomic analysis. We expressed GFP under the control of the 5' regulatory region of F23B2.10 and found GFP expression in neurons. We expect that more single-neuron specific proteomic data will clarify how protein composition and abundance affect characteristics of neuronal subclasses.
Project description:The intestine is an organ responsible for absorption and metabolism of orally administered drugs. It is necessary to examine the human intestinal expression profiles of the genes related to drug absorption, distribution, metabolism, and excretion (ADME), for accurate prediction of pharmacokinetics in the intestine. However, previous studies had issues such as the evaluation limited to specific molecules and regions, and relatively small sample sizes. In this study, to obtain more accurate expression profiles of mRNA and protein in various regions of human intestine, biopsy samples were collected from 38 patients with various regions, duodenum, jejunum, ileum, colon and rectum, and RNA-seq analysis and quantitative proteomics analysis were performed. We performed the expression analysis of drug-metabolizing enzymes (cytochromes P450 (CYP ) and non–CYP enzymes), apical and basolateral drug transporters, and nuclear receptors. Overall, mRNA expression levels of these ADME-related molecules were highly correlated with the protein expression levels. The characteristics of the expression of ADME-related genes in human small and large intestines differed significantly, such as higher or lower expression levels of CYP enzymes in the small or large intestines, respectively. Most CYPs were expressed dominantly in the small intestine. Non-CYPs were expressed in the large intestine, but their expression levels were lower than those in the small intestine. The expression levels of ADME-related genes differed even between the proximal and distal small intestine. The expression of transporters showed their highest abundance in the ileum. The data in the present study contributes to an improved understanding of intestinal ADME of drug candidates, and would be useful for drug discovery research.
Project description:To understand the relationship between protein expression and mRNA translation during primary hepatocytes dedifferentiation, we have employed transcriptome microarrayas a discovery platform. Rat primary hepatocytes were isolated by the method of two-step enzymes perfusion and then cultured on mono-layer in vitro. Samples at 0h( just after perfusion, before planking) , 6h, 12h ,24h and 48h were collected. Integrative analysis of transcriptome and whole cell proteomics (WCP) leaded us to realize the poor correlation of them. This discovery made us realize that targeting mRNA was far from enough in illustrating this process. It would provide new insights from the aspects of post-translational modifications(PTMs).Post-translational modifications play important role in numorous biological and pathological process, but a few reports are related to primary hepatocytes dedifferentiation process, and there is still no integrative proteomics analysis in this field yet. In this study, we perform ubiquitinome phosphorylated proteome, whole cell proteome and transcriptome simultaneously during the five different time points of dedifferentiation in vitro quantified over 6000 modified sites mapping to over 2000 proteins. And comprehensive analysis of these datasets provides novel insight in this field.
Project description:We performed targeted protein expression analysis on cultured Th0, Th1 and Th2 cells, and on T cells treated with known drug triggers of cutaneous lupus erythematosus (CLE). In tandem, we performed targeted protein expression analysis on serum from first vs flare Th2-injected mice in the CLE model.