Browsing by Author "Cheng, Hui"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Characterization of PspE, a Secreted Sulfurtransferase of Escherichia coli
    Cheng, Hui (Virginia Tech, 2003-05-01)
    PspE, encoded by the last gene of the phage shock protein operon, is one of the nine proteins of Escherichia coli that contain a rhodanese homology domain. PspE is synthesized as a precursor with a 19-amino acid signal sequence and secreted to the periplasm. Mature PspE is the smallest rhodanese of E. coli (85 amino acids) and catalyzes the transfer of sulfur from thiosulfate to cyanide forming thiocyanate and sulfite. Cation exchange chromatography of a freeze-thaw extract of a PspE-overexpressing strain yielded two major peaks of active, homogeneous PspE. The two peaks contained two forms of PspE (PspE1 and PspE2) of distinct size and/or charge that were distinguished by native polyacrylamide gel electrophoresis and gel chromatography. PspE2 was converted to the more compact PspE1 by treatment with thiosulfate, which suggested that PspE1 is the persulfide form. One equivalent of cyanizable sulfur was associated with PspE1, with much less present in PspE2. Consistent with the conclusion that the single active site cysteine of PspE1 contains a persulfide sulfur was the observation that this form was much more tolerant to chemical inactivation by thiol-specific modifying reagent DTNB (5,5′-dithiobis(2-nitrobenzoic acid)). Rhodanese activity was subject to inhibition by anions (sulfite, sulfate, chloride, phosphate and arsenate), suggesting PspE has a cationic site for substrate binding. Kinetic analysis revealed that PspE employs a double-displacement mechanism, as is the case for other rhodaneses. The Kms for SSO32- and CN- were 3.0 and 43 mM, respectively. PspE exhibited a kcat of 72 s-1. To aid in understanding the physiological role of PspE, a strain with a pspE gene disruption was constructed. Comparison of rhodanese activity in extracts of wild-type and mutant strains revealed that PspE is a major contributor of rhodanese activity in E. coli. The pspE mutant displayed no obvious growth defect or auxotrophies, and was capable of molybdopterin biosynthesis, indicating that pspE is not essential for production of sulfur-containing amino acid or cofactors. Growth of wild-type and mutant strains deficient in pspE and other sulfurtransferase paralogs in medium with cyanide or cadmium was compared. The results indicated that neither PspE nor other E. coli rhodanese paralogs play roles in cyanide or cadmium detoxification. The physiological role of PspE remains to be determined.
  • Thumbnail Image
    Data integration and visualization for systems biology data
    Cheng, Hui (Virginia Tech, 2010-10-27)
    Systems biology aims to understand cellular behavior in terms of the spatiotemporal interactions among cellular components, such as genes, proteins and metabolites. Comprehensive visualization tools for exploring multivariate data are needed to gain insight into the physiological processes reflected in these molecular profiles. Data fusion methods are required to integratively study high-throughput transcriptomics, metabolomics and proteomics data combined before systems biology can live up to its potential. In this work I explored mathematical and statistical methods and visualization tools to resolve the prominent issues in the nature of systems biology data fusion and to gain insight into these comprehensive data. In order to choose and apply multivariate methods, it is important to know the distribution of the experimental data. Chi square Q-Q plot and violin plot were applied to all M. truncatula data and V. vinifera data, and found most distributions are right-skewed (Chapter 2). The biplot display provides an effective tool for reducing the dimensionality of the systems biological data and displaying the molecules and time points jointly on the same plot. Biplot of M. truncatula data revealed the overall system behavior, including unidentified compounds of interest and the dynamics of the highly responsive molecules (Chapter 3). The phase spectrum computed from the Fast Fourier transform of the time course data has been found to play more important roles than amplitude in the signal reconstruction. Phase spectrum analyses on in silico data created with two artificial biochemical networks, the Claytor model and the AB2 model proved that phase spectrum is indeed an effective tool in system biological data fusion despite the data heterogeneity (Chapter 4). The difference between data integration and data fusion are further discussed. Biplot analysis of scaled data were applied to integrate transcriptome, metabolome and proteome data from the V. vinifera project. Phase spectrum combined with k-means clustering was used in integrative analyses of transcriptome and metabolome of the M. truncatula yeast elicitation data and of transcriptome, metabolome and proteome of V. vinifera salinity stress data. The phase spectrum analysis was compared with the biplot display as effective tools in data fusion (Chapter 5). The results suggest that phase spectrum may perform better than the biplot. This work was funded by the National Science Foundation Plant Genome Program, grant DBI-0109732, and by the Virginia Bioinformatics Institute.