Project description:Aortic diseases are a rare but potentially life-threatening condition. We present a serum proteomic study for a spectrum of aortic diseases including thoracic aortic aneurysms (n = 11), chronic dissections (n = 9), acute aortic dissections (n = 11), and surgically treated dissections (n = 19) as well as healthy controls (n = 10) and patients of coronary heart disease (n = 10) to represent non-aortic cardiovascular disease. In total, we identified and quantified 425 proteins across all 70 samples. The different aortic diseases represented distinguishable proteome profiles. We identified protein clusters that positively or negatively correlate with disease severity, including increase of cytosolic tissue leakage proteins and decrease of components of the coagulation and complement system. Further, we identified a serum proteome fingerprint of acute aortic dissections, consisting, among others, of enriched inflammatory markers such as C-reactive protein and members of the S100 protein family. The study underlines the applicability of serum proteomics for the investigation of aortic diseases and highlights the possibility to establish disease-specific prognostic markers.
Project description:1. evaluation of diagnostic importance of insulin like growth factor binding protein3 in patient with recently diagnosed as Colorectal cancer
2. correlation between the diagnostic efficacy of insulin like growth factor binding protein 3 with routine marker carcinoembryonic antigen.
Project description:We sought to define proteomic differences in mortality risk-stratified septic serum as a prelude to translational modeling of cardiomyocyte pathobiology in septic shock. Previously banked serum from children with septic shock (n=120) was stratified by Pediatric Sepsis Biomarker Risk Model (PERSEVERE) II mortality probability as low, intermediate, or high risk. We conducted aptamer-based proteomic analysis of septic serum to determine differentially expressed proteins in children with high compared to low mortality risk. Sera from patients designated as PERSEVERE II high mortality risk demonstrated a global proteomic shift relative to those from patients with low mortality risk, and IL-6 and IL-8 were prominently differentially expressed proteins in children with high mortality probability. Downstream proteomic analyses for differential protein expression focused on comparing samples with HIGH and LOW PERSEVERE II risk, adjusting for site, age, and plate.
Project description:Aortic valve stenosis (AVS) is a sexually dimorphic cardiovascular disease characterized by fibro-calcification of the aortic valve leaflet. Sex differences in AVS arise in part from sexually dimorphic serum composition that differentially regulates valvular interstitial cell (VIC) myofibroblast activation. However, how individual serum factors contribute to sex-specific drug responses remains unknown. Here, we integrate serum proteomic profiling with in vitro drug screening using hydrogel biomaterials to identify sex-specific regulators of antifibrotic drug efficacy. We found that serum Insulin-like Growth Factor Binding Protein 2 (IGFBP2) mediates Evogliptin resistance in female VICs cultured with female AVS serum through the activation of Rho/ROCK and focal adhesion kinase signaling. Our findings highlight IGFBP2 as a candidate biomarker for stratifying female AVS patients for Evogliptin treatment, underscoring the need to incorporate sex as a biological variable in determining AVS treatments.
Project description:Sohn2010 - Genome-scale metabolic network of
Pichia pastoris (PpaMBEL1254)
This model is described in the article:
Genome-scale metabolic model
of methylotrophic yeast Pichia pastoris and its use for in
silico analysis of heterologous protein production.
Sohn SB, Graf AB, Kim TY, Gasser B,
Maurer M, Ferrer P, Mattanovich D, Lee SY.
Biotechnol J 2010 Jul; 5(7):
705-715
Abstract:
The methylotrophic yeast Pichia pastoris has gained much
attention during the last decade as a platform for producing
heterologous recombinant proteins of pharmaceutical importance,
due to its ability to reproduce post-translational modification
similar to higher eukaryotes. With the recent release of the
full genome sequence for P. pastoris, in-depth study of its
functions has become feasible. Here we present the first
reconstruction of the genome-scale metabolic model of the
eukaryote P. pastoris type strain DSMZ 70382, PpaMBEL1254,
consisting of 1254 metabolic reactions and 1147 metabolites
compartmentalized into eight different regions to represent
organelles. Additionally, equations describing the production
of two heterologous proteins, human serum albumin and human
superoxide dismutase, were incorporated. The protein-producing
model versions of PpaMBEL1254 were then analyzed to examine the
impact on oxygen limitation on protein production.
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Project description:Proteomic methods for RNA interactome capture (RIC) rely principally on crosslinking native or labeled cellular RNA to enrich and investigate RNA-binding protein (RBP) composition and function in cells. The ability to measure RBP activity at individual binding sites by RIC, however, has been more challenging due to the heterogenous nature of peptide adducts derived from the RNA-protein crosslinked site. Here, we present an orthogonal strategy that utilizes clickable electrophilic purines to directly quantify protein-RNA interactions on proteins through photoaffinity competition with 4-thiouridine (4SU)-labeled RNA in cells. Our photo-activatable-competition and chemoproteomic enrichment (PACCE) method facilitated detection of >5,500 cysteine sites across ~3,000 proteins displaying RNA-sensitive alterations in probe binding. Importantly, PACCE enabled functional profiling of canonical RNA-binding domains as well as discovery of moonlighting RNA binding activity in the human proteome. Collectively, we present a chemoproteomic platform for global quantification of protein-RNA binding activity in living cells.