Molecular BioSystems

Voltage-dependent anion channels (VDACs) are a family of three mitochondrial porins and the most abundant integral membrane proteins of the mitochondrial outer membrane (MOM). VDACs are known to be involved in metabolite/ion transport across the MOM and in many cellular processes ranging from mitochondria-mediated apoptosis to the control of energy metabolism, by interacting with cytosolic, mitochondrial and cytoskeletal proteins and other membrane channels. Despite redundancy and compensatory mechanisms among VDAC isoforms, they display not only different channel properties and protein expression levels, but also distinct protein partners...

Prediction of new associations between drugs and targeting pathways can provide valuable clues for drug discovery & development. However, information integration and a class-imbalance problem are important challenges for available prediction methods. This paper proposes a prediction of potential associations between drugs and pathways based on a disease-related LSA-PU-KNN method. Firstly, we built a drug-disease-pathway network and combined the drug-disease and pathway-disease features obtained by different types of feature profiles...

Renal cell carcinoma (RCC) is the leading cause of death in renal malignancies. MicroRNA-590-5p (miR-590-5p) is of great importance in the processes of many cancers regarding regulation of cancer cell invasion and proliferation. In our study, alternation of miR-590-5p expression in RCC cell lines through transfection with pre-miR-590-5p (up-regulation) or anti-miR-590-5p (down-regulation) was performed. Apoptosis and viability of RCC cell lines were measured by flow cytometry and CCK-8 analysis, respectively...

Mass spectrometry (MS) has become an increasingly important technique to analyze proteins. In popular bottom-up MS-based proteomics, reduction and alkylation are routine steps to facilitate peptide identification. However, incomplete reactions and side reactions may occur, which compromise the experimental results. In this work, we systematically evaluated the reduction step with commonly used reagents, i.e., dithiothreitol, 2-mercaptoethanol, tris(2-carboxyethyl)phosphine, or tris(3-hydroxypropyl)phosphine, and alkylation with iodoacetamide, acrylamide, N-ethylmaleimide, or 4-vinylpyridine...

Solvent properties of water in aqueous solutions of polyethylene glycols of various molecular weights, l-proline, betaine, and a series of chlorides of varied concentrations are assayed using three solvatochromic dyes. The properties include solvent dipolarity/polarizability, hydrogen bond donor acidity, and hydrogen bond acceptor basicity. These properties are also evaluated in mixtures of two polymers, polymer and osmolyte, and two osmolytes. It is shown that linear combinations of solvent dipolarity/polarizability and hydrogen bond donor acidity assayed in individual solutions of crowders strongly correlate with the effects of the crowders on the stability of various proteins and nucleic acids reported in the literature...

Cysteine S-sulfenylation is a major type of posttranslational modification that contributes to protein structure and function regulation in many cellular processes. Experimental identification of S-sulfenylation sites is challenging, due to the low abundance of proteins and the inefficient experimental methods. Computational identification of S-sulfenylation sites is an alternative strategy to annotate the S-sulfenylated proteome. In this study, a novel computational predictor SulCysSite was developed for accurate prediction of S-sulfenylation sites based on multiple sequence features, including amino acid index properties, binary amino acid codes, position specific scoring matrix, and compositions of profile-based amino acids...

Genome sequencing technology has generated a vast amount of genomic and epigenomic data, and has provided us a great opportunity to study gene functions on a global scale from an epigenomic view. In the last decade, network-based studies, such as those based on PPI networks and co-expression networks, have shown good performance in capturing functional relationships between genes. However, the functions of a gene and the mechanism of interaction of genes with each other to elucidate their functions are still not entirely clear...

Long non-coding RNAs (lncRNAs), non-protein-coding RNAs that are more than 200 nucleotides in length, have been demonstrated to play a vital role in the pathophysiology of human diseases, particularly in tumorigenesis and progression of cancers. Dysregulation of lncRNAs, which serve as either oncogenes or tumor suppressor genes, is involved in diverse cellular processes, such as proliferation, dedifferentiation, migration, invasion and anti-apoptosis. Promoter of CDKN1A antisense DNA damage-activated RNA (PANDAR), which was recently found to manifest aberrant expression in various malignancies including non-small cell lung cancer, hepatocellular carcinoma, colorectal cancer and gastric cancer, is a novel cancer-related lncRNA...

Henipaviruses are severe human pathogens within the Paramyxoviridae family. Beyond the P protein, the Henipavirus P gene also encodes the V protein which shares with P its N-terminal, intrinsically disordered region (PNT) and possesses a unique C-terminal domain predicted to be folded and to bind zinc (ZnFD). Henipavirus V proteins antagonize IFN signaling through PNT-mediated binding to STAT1, and several paramyxoviral V proteins promote STAT1 degradation through binding to DDB1. Structural and molecular information on Henipavirus V proteins is lacking, and their ability to interact with DDB1 has not been documented yet...

Altered metabolism is often identified as a cause or an effect of physiology and pathogenesis. But it is difficult to predict the metabolic flux distributions of multicellular organisms due to the lack of an explicit metabolic objective function. Here we present a computational method which can successfully describe the differences in metabolism between two different conditions on a large scale. By integrating gene expression data with an existing comprehensive reconstruction of the global human metabolic network, we qualitatively predicted significantly differential fluxes without prior knowledge or the rate of metabolite uptake and secretion...

Dipeptidyl peptidase III (DPP III) from the human gut symbiont Bacteroides thetaiotaomicron (Bt) is the first identified prokaryotic DPP III orthologue. It has low sequence similarity to the thoroughly studied human DPP III, and differently from eukaryotic orthologues it has a cysteine (Cys450) residue in the zinc-binding motif HEXXGH (HECLGH). The recently determined crystal structure of BtDPP III showed that its 3D structure, similar to the structure of the human DPP III, consists of two domains with a wide cleft in between...

Mannose-modified lectin-binding peptides were obtained from an α-helical-designed peptide phage library. Concanavalin A (ConA) was used as a representative target protein for the lectin family. The identified glycopeptides could selectively bind to ConA with micromolar affinity. With these results, the methodologies described in this study will enhance the selection of saccharide-modified ligands through the synergistic effects of sugar and peptide units, with better specificity and affinity towards lectin proteins...

Particular lipid profiles have been found in two different protozoa of the Leishmania genus. Leishmania infantum, a visceral leishmaniasis causative agent and Leishmania amazonensis, a cutaneous leishmaniasis, reveal distinctive lipid contents of phosphatidylethanolamine and phosphatidylserine plasmalogens, sphingolipids, phosphatidylinositols, phosphatidylcholine, and phosphatidylethanolamine, which have been shown to be related to species, life-cycle of the parasite, and macrophage infection. L. infantum displayed a higher content of phosphatidylethanolamine plasmalogens than L...

Diabetic kidney disease (DKD) is the leading cause of ESRD; however, early intervention can greatly prevent the progression of DKD; thus, sensitive biomarkers for DKD are still required. This study was aimed at the identification of potential biomarkers and revelation of underlying pathways in DKD patients by non-targeted metabolomics. Gas chromatography-mass spectrometry was used to analyze urine obtained from the control and type 2 diabetes mellitus (T2DM) and DKD patients, and the renal histological changes in DKD patients were assessed...

Extracellular microRNAs (miRNAs) carried by exosomes can play a key role in cell-to-cell communication. Deregulation of miRNA expression and exosome secretion have been related to pathological conditions such as cancer. While it is known that circulating miRNAs can alter gene expression in recipient cells, it remains unclear how significant the dynamical impact of these extracellular miRNAs is. To shed light on this issue, we propose a model for the spatio-temporal evolution of the protein expression in a cell tissue altered by abnormal miRNA expression in a donor cell...

Promoter binding specificity is one of the important characteristics of transcription by Mycobacterium tuberculosis (Mtb) sigma (σ) factors, which remains unexplored due to limited structural evidence. Our previous study on the structural features of Mtb-SigH, consisting of three alpha helices, and its interaction with core RNA polymerase has been extended herein to determine the little known DNA sequence recognition pattern involving its cognate promoters. Herein, high resolution X-ray crystallographic structures of the protein-DNA complexes were inspected to determine the tentative DNA-binding helix of the σ factor...

Protein carbonylation is one of the most important biomarkers of oxidative protein damage and such protein damage is linked to various diseases and aging. It is thus vital that carbonylation sites are identified accurately. In this study, CarSite, a novel bioinformatics tool, was established to identify carbonylation sites in human proteins. The one-sided selection (OSS) resampling method was used to establish balanced training datasets and this resampling method is demonstrated to perform better than a Monte Carlo resampling method via 10-fold cross-validation tests on the Jia dataset...

Recently, substantial evidence has demonstrated that long non-coding RNAs (lncRNAs) play critical roles in multiple cancers including colorectal cancer (CRC). Utilizing publicly available lncRNA-expression-profiling data from the Gene Expression Omnibus (GEO) dataset GSE21510, we screened SNHG17 as a new candidate lncRNA associated with CRC development and progression. We further demonstrated that SNHG17 was upregulated in CRC tissues, and that its overexpression was significantly correlated with tumor size, TNM stage, and lymph node metastasis in CRC patients...

Changes of the extracellular milieu could affect cellular crowding. To prevent detrimental effects, cells use adaptation mechanisms to react to such conditions. Using fluorescent crowding sensors, we show that the initial response to osmotic stress is fast but imperfect, while the slow response renders cells more tolerant to stress, particularly in the presence of osmolytes.

Methylglyoxal (MG) is a highly reactive dicarbonyl known to be elevated under the hyperglycemic conditions of diabetes and is implicated in the development of diabetic complications. Therefore, the current study investigates the role of MG in exacerbating insulin resistance at the insulin signaling level, as well as its effect on the global proteomic level. By using insulin sensitive rat muscle cells (L6) and Chinese hamster ovary (CHO) cells stably expressing the insulin receptor (IR) and a glucose transporter fused with green fluorescent protein (GLUT4-GFP), we have observed that MG impairs insulin signaling, inhibits GLUT4 translocation and reduces glucose uptake...