Top-Down Mass Spectrometry Data Analysis Using TopPIC Suite.

With the advances of mass spectrometry (MS) techniques, top-down MS-based proteomics has gained increasing attention because of its advantages over bottom-up MS in studying complex proteoforms. TopPIC Suite is a widely used software package for top-down MS-based proteoform identification and quantification. Here, we present the methods for top-down MS data analysis using TopPIC Suite.

TopMSV: A Web-Based Tool for Top-Down Mass Spectrometry Data Visualization.

Top-down mass spectrometry (MS) investigates intact proteoforms for proteoform identification, characterization, and quantification. Data visualization plays an essential role in top-down MS data analysis because proteoform identification and characterization often involve manual data inspection to determine the molecular masses of highly charged ions and validate unexpected alterations in identified proteoforms. While many software tools have been developed for MS data visualization, there is still a lack of web-based visualization software designed for top-down MS. Here, we present TopMSV, a web-based tool for top-down MS data processing and visualization. TopMSV provides interactive views of top-down MS data using a web browser. It integrates software tools for spectral deconvolution and proteoform identification and uses analysis results of the tools to annotate top-down MS data.

TopPIC Gateway: A Web Gateway for Top-Down Mass Spectrometry Data Interpretation.

Top-down mass spectrometry-based proteomics has become the method of choice for identifying and quantifying intact proteoforms in biological samples. We present a web-based gateway for TopPIC suite, a widely used software suite consisting of four software tools for top-down mass spectrometry data interpretation: TopFD, TopPIC, TopMG, and TopDiff. The gateway enables the community to use heterogeneous collection of computing resources that includes high performance computing clusters at Indiana University and virtual clusters on XSEDE's Jetstream Cloud resource for top-down mass spectral data analysis using TopPIC suite. The gateway will be a useful resource for proteomics researchers and students who have limited access to high-performance computing resources or who are not familiar with interacting with server-side supercomputers.

Identification of EBP50 as a specific biomarker for carcinogens via the analysis of mouse lymphoma cellular proteome.

To identify specific biomarkers generated upon exposure of L5178Y mouse lymphoma cells to carcinogens, 2-DE and MALDI-TOF MS analysis were conducted using the cellular proteome of L5178Y cells that had been treated with the known carcinogens, 1,2-dibromoethane and O-nitrotoluene and the noncarcinogens, emodin and D-mannitol. Eight protein spots that showed a greater than 1.5-fold increase or decrease in intensity following carcinogen treatment compared with treatment with noncarcinogens were selected. Of the identified proteins, we focused on the candidate biomarker ERM-binding phosphoprotein 50 (EBP50), the expression of which was specifically increased in response to treatment with the carcinogens. The expression level of EBP50 was determined by western analysis using polyclonal rabbit anti-EBP50 antibody. Further, the expression level of EBP50 was increased in cells treated with seven additional carcinogens, verifying that EBP50 could serve as a specific biomarker for carcinogens.

Moesin is a biomarker for the assessment of genotoxic carcinogens in mouse lymphoma.

1,2-Dibromoethane and glycidol are well known genotoxic carcinogens, which have been widely used in industry. To identify a specific biomarker for these carcinogens in cells, the cellular proteome of L5178Y mouse lymphoma cells treated with these compounds was analyzed by 2-dimensional gel electrophoresis (2-DE) and MALDI-TOF mass spectrometry (MS). Of 50 protein spots showing a greater than 1.5-fold increase or decrease in intensity compared to control cells on a 2-D gel, we focused on the candidate biomarker moesin. Western analysis using monoclonal rabbit anti-moesin confirmed the identity of the protein and its increased level of expression upon exposure to the carcinogenic compounds. Moesin expression also increased in cells treated with six additional genotoxic carcinogens, verifying that moesin could serve as a biomarker to monitor phenotypic change upon exposure to genotoxic carcinogens in L5178Y mouse lymphoma cells.

Autophagonizer, a novel synthetic small molecule, induces autophagic cell death.

Autophagy is an apoptosis-independent mechanism of cell death that protects the cell from environmental imbalances and infection by pathogens. We identified a novel small molecule, 2-(3-Benzyl-4-oxo-3,4,5,6,7,8-hexahydro-benzo[4,5]thieno[2,3-d]pyrimidin-2-ylsulfanylmethyl)-oxazole-4-carboxylic acid (2-pyrrolidin-1-yl-ethyl)-amide (referred as autophagonizer), using high-content cell-based screening and the autophagosome marker EGFP-LC3. Autophagonizer inhibited growth and induced cell death in the human tumor cell lines MCF7, HeLa, HCT116, A549, AGS, and HT1080 via a caspase-independent pathway. Conversion of cytosolic LC3-I to autophagosome-associated LC3-II was greatly enhanced by autophagonizer treatment. Transmission electron microscopy and acridine orange staining revealed increased autophagy in the cytoplasm of autophagonizer-treated cells. In conclusion, autophagonizer is a novel autophagy inducer with unique structure, which induces autophagic cell death in the human tumor cell lines.

Streptopyrrolidine, an angiogenesis inhibitor from a marine-derived Streptomyces sp. KORDI-3973.

Streptopyrrolidine, a benzyl pyrrolidine derivative, was isolated as an angiogenesis inhibitor from the fermentation broth of a marine Streptomyces sp. isolated from the deep sea sediment. Its structure was elucidated by extensive 2D NMR and mass spectroscopic analyses. Streptopyrrolidine exhibited significant anti-angiogenesis activity.

Inhibition of histone deacetylase1 induces autophagy.

Autophagy is a process where cytoplasmic materials are degraded by lysosomal machinery. Histone deacetylase (HDAC) inhibitors induce autophagy, and HDAC6, one of class II HDAC isotypes, is directly involved in autophagic degradation in the cell. However, it is unclear if class I HDAC isotype such as HDCA1 is involved in this process. To investigate if class I HDAC isotype is involved in autophagy, a specific class I HDAC inhibitor and an siRNA of HDAC1 were used to treat HeLa cells. Autophagic markers were then investigated. Both inhibition and genetic knock-down of HDAC1 in the cells significantly induced autophagic vacuole formation and lysosome function. Moreover, disruption of HDAC1 leads to the conversion of LC3-I to LC3-II. Together, these results demonstrate that HDAC1 could play a role in autophagy and specific inhibition of HDAC1 can induce autophagy.

Streptochlorin, a marine natural product, inhibits NF-kappaB activation and suppresses angiogenesis in vitro.

Angiogenesis is an essential step in tumor progress and metastasis. Accordingly, small molecules that inhibit angiogenesis would appear to be a promising way to cure angiogenesis-related diseases, including cancer. In the present study, we report that streptochlorin, a small molecule from marine actinomycete, exhibits a potent antiangiogenic activity. The compound potently inhibited endothelial cell invasion and tube formation stimulated with vascular endothelial cell growth factor (VEGF) at low micromolar concentrations where it showed no cytotoxicity to the cells. In addition, streptochlorin inhibited TNF-alpha-induced NF-kappaB activation in the newly developed cell-based reporter gene assay. These data demonstrate that streptochlorin is a new inhibitor of NF-kappaB activation and can be a basis for the development of novel anti-angiogenic agents.

Novel Leuconostoc citreum starter culture system for the fermentation of kimchi, a fermented cabbage product.

To determine the dominant microorganisms involved in kimchi fermentation and to examine their effect on kimchi fermentation, we randomly isolated and characterized 120 lactic acid bacteria from kimchi during a 5-day fermentation at 15 degrees C. Leuconostoc citreum was dominant during the early and mid-phases of kimchi fermentation whereas Lactobacillus sake/Lactobacillus curvatus or Lactobacillus brevis were found during later stages. Eighty-two out of 120 isolates (68%) were identified as Leuconostoc citreum by means of a polyphasic method, including 16S rDNA sequencing and DNA/DNA hybridization. A few Weissella confusa-like strains were also isolated during the mid-phase of the fermentation. Strain IH22, one of the Leuconostoc citreum isolates from kimchi, was used as an additive to evaluate growth and acid production in kimchi fermentation. This strain was consistently over 95% of the population in IH22-treated kimchi over a 5-day fermentation, while heterogeneous lactic acid bacteria were observed in the control kimchi. The pH in IH22-treated kimchi dropped rapidly but was stably maintained for 5 days, compared to its slow and prolonged decrease in the control kimchi. These results indicate that Leuconostoc citreum IH22 dominates over and retards the growth of other lactic acid bacteria in kimchi, suggesting it can be used as a bacterial starter culture to maintain the quality of kimchi for prolonged periods.