Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Sheng Gu is active.

Publication


Featured researches published by Sheng Gu.


Molecular & Cellular Proteomics | 2003

Comprehensive proteomic profiling of the membrane constituents of a Mycobacterium tuberculosis strain.

Sheng Gu; Jin Chen; Karen M. Dobos; E. Morton Bradbury; John T. Belisle; Xian Chen

Mycobacterium tuberculosis is an infectious microorganism that causes human tuberculosis. The cell membranes of pathogens are known to be rich in possible diagnostic and therapeutic protein targets. To compliment the M. tuberculosis genome, we have profiled the membrane protein fraction of the M. tuberculosis H37Rv strain using an analytical platform that couples one-dimensional SDS gels to a microcapillary liquid chromatography-nanospray-tandem mass spectrometer. As a result, 739 proteins have been identified by two or more distinct peptide sequences and have been characterized. Interestingly, ∼450 proteins represent novel identifications, 79 of which are membrane proteins and more than 100 of which are membrane-associated proteins. The physicochemical properties of the identified proteins were studied in detail, and then biological functions were obtained by sorting them according to Sanger Institute gene function category. Many membrane proteins were found to be involved in the cell envelope, and those proteins with energy metabolic functions were also identified in this study.


Cancer Research | 2005

PUMA Overexpression Induces Reactive Oxygen Species Generation and Proteasome-Mediated Stathmin Degradation in Colorectal Cancer Cells

Zhihe Liu; Huimei Lu; Honglian Shi; Yuchun Du; Jian Yu; Sheng Gu; Xian Chen; Ke Jian Liu; Chien-an A. Hu

Increased amounts of reactive oxygen species (ROS) induce apoptosis in mammalian cells. PUMA (P53 up-regulated modulator of apoptosis), a mitochondrial proapoptotic BH3-only protein, induces rapid apoptosis through a Bax- and mitochondria-dependent pathway. However, the molecular basis of PUMA-induced apoptosis is largely not understood. Using a combination of biophysical and biochemical methods and PUMA-inducible colorectal cells, DLD-1.PUMA, we showed that (a) PUMA-induced apoptosis is dose and time dependent; (b) PUMA-induced apoptosis is directly associated with ROS generation; (c) diphenyleneiodonium chloride, a ROS blocker, or BAX-inhibiting peptide, a suppressor of BAX translocation, decreased ROS generation and apoptosis in DLD-1.PUMA cells; (d) overexpression of PUMA induced up-regulation (>1.34-fold) of peroxiredoxin 1 and down-regulation (by 25%) of stathmin through proteasome-mediated degradation; and (e) hydrogen peroxide down-regulated stathmin and disrupted the cellular microtubule network. Our findings indicate that PUMA induces apoptosis, in part, through the BAX-dependent generation of superoxide and hydrogen peroxide. ROS overproduction and oxidative stress induce proteome-wise alterations, such as stathmin degradation and disorganization of the cell microtubule network, in apoptotic cells.


Analytical Biochemistry | 2010

Characterization of trisulfide modification in antibodies

Sheng Gu; Dingyi Wen; Paul H. Weinreb; Yaping Sun; Lihe Zhang; Rashmi Kshirsagar; David Evans; Sha Mi; Werner Meier; R. Blake Pepinsky

Trisulfides are a posttranslational modification formed by the insertion of a sulfur atom into a disulfide bond. Although reports for trisulfides in proteins are limited, we find that they are a common modification in natural and recombinant antibodies of all immunoglobulin G (IgG) subtypes. Trisulfides were detected only in interchain linkages and were predominantly in the light-heavy linkages. Factors that lead to trisulfide formation and elimination and their impact on activity and stability were investigated. The peptide mapping methods developed for characterization and quantification of trisulfides should be applicable to any antibody and can be easily adapted for other types of proteins.


Molecular & Cellular Proteomics | 2006

The Dynamic Alterations of H2AX Complex during DNA Repair Detected by a Proteomic Approach Reveal the Critical Roles of Ca2+/Calmodulin in the Ionizing Radiation-induced Cell Cycle Arrest

Yu Chun Du; Sheng Gu; Jianhong Zhou; Tianyi Wang; Hong Cai; Mark A. MacInnes; E. Morton Bradbury; Xian Chen

By using DNA nuclease digestion and a quantitative “dual tagging” proteomic approach that integrated mass spectrometry, stable isotope labeling, and affinity purification, we studied the histone H2AX-associating protein complex in chromatin in mammalian cells in response to ionizing radiation (IR). In the non-irradiated control cells, calmodulin (CaM) and the transcription elongation factor facilitates chromatin transcription (FACT) were associated with H2AX. Thirty minutes after exposing cells to IR the CaM and FACT complexes dissociated, whereas two DNA repair proteins, poly(ADP-ribose) polymerase-1 and DEAH box polypeptide 30 isoform 1, interacted with H2AX. Two hours and 30 min after exposure, none of the above proteins were in the complex. H2B, nucleophosmin/B23, and calreticulin were associated with H2AX in both non-irradiated and irradiated cells. The results suggest that the H2AX complex undergoes dynamic changes upon induction of DNA damage and during DNA repair. The genuine interactions between H2AX and H2B, nucleophosmin/B23, calreticulin, poly(ADP-ribose) polymerase-1, and CaM under each condition were validated by immunoprecipitation/Western blotting and mammalian two-hybrid assays. Because multiple Ca2+-binding proteins were found in the H2AX complex, the roles of Ca2+ were examined. The results indicate that Ca2+/CaM plays important roles in regulating IR-induced cell cycle arrest, possibly through mediating chromatin structure. The dataset presented here demonstrates that sensitive profiling of the dynamics of functional cellular protein-protein interactions can successfully lead to the dissection of important metabolic or signaling pathways.


Molecular & Cellular Proteomics | 2004

Global Investigation of p53-induced Apoptosis Through Quantitative Proteomic Profiling Using Comparative Amino Acid-coded Tagging

Sheng Gu; Zhihe Liu; Songqin Pan; Zeyu Jiang; Huimei Lu; Or Amit; E. Morton Bradbury; Chein An A. Hu; Xian Chen

p53-induced apoptosis plays a pivotal role in the suppression of tumorigenesis, and mutations in p53 have been found in more than 50% of human tumors. By comparing the proteome of a human colorectal cancer cell transfected with inducible p53 (DLD-1.p53) with that of the control DLD-1 cell line using amino acid-coded mass tagging (AACT)-assisted mass spectrometry, we have broadly identified proteins that are upregulated at the execution stage of the p53-mediated apoptosis. In cell culturing, the deuterium-labeled (heavy) amino acids were incorporated into the proteome of the induced DLD-1.p53 cells, whereas the DLD-1.vector cells were grown in the unlabeled medium. In high-throughput LC-ESI-MS/MS analyses, the AACT-containing peptides were paired with their unlabeled counterparts, and their relative spectral intensities, reflecting the differential protein expression, were quantified. In addition, our novel AACT-MS method utilized a number of different heavy amino acids as internal markers that significantly increased the peptide sequence coverage for both quantitation and identification purposes. As a result, we were able to identify differentially regulated protein isozymes that would be difficult to distinguish by ICAT-MS methods and to obtain a large dataset of the proteins with altered expression in the late stage of p53-induced apoptosis. The regulated proteins we identified are associated with several distinct functional categories: cell cycle arrest and p53 binding, protein chaperoning, plasma membrane dynamics, stress response, antioxidant enzymes, and anaerobic glycolysis. This result suggests that the p53-induced apoptosis involves the systematic activation of multiple pathways that are glycolysis-relevant, energy-dependent, oxidative stress-mediated, and possibly mediated through interorganelle crosstalks.


Journal of Biological Chemistry | 2009

Discovery and Investigation of Misincorporation of Serine at Asparagine Positions in Recombinant Proteins Expressed in Chinese Hamster Ovary Cells

Dingyi Wen; Malgorzata M. Vecchi; Sheng Gu; Lihe Su; Yao-ming Huang; Ellen Garber; Nels E. Pederson; Werner Meier

Misincorporation of amino acids in proteins expressed in Escherichia coli has been well documented but not in proteins expressed in mammalian cells under normal recombinant protein production conditions. Here we report for the first time that Ser can be incorporated at Asn positions in proteins expressed in Chinese hamster ovary cells. This misincorporation was discovered as a result of intact mass measurement, peptide mapping analysis, and tandem mass spectroscopy sequencing. Our analyses showed that the substitution was not related to specific protein molecules or DNA codons and was not site-specific. We believe that the incorporation of Ser at sites coded for Asn was due to mischarging of tRNAAsn rather than to codon misreading. The rationale for substitution of Asn by Ser and not by other amino acids is also discussed. Further investigation indicated that the substitution was due to the starvation for Asn in the cell culture medium and that the substitution could be limited by using the Asn-rich feed. These observations demonstrate that the quality of expressed proteins should be closely monitored when altering cell culture conditions.


Journal of Immunology | 2006

Flightless I Homolog Negatively Modulates the TLR Pathway

Tianyi Wang; Tsung Hsien Chuang; Tapani Ronni; Sheng Gu; Yu Chun Du; Hong Cai; Hui Qiao Sun; Helen L. Yin; Xian Chen

To date, much of our knowledge about the signaling networks involved in the innate immune response has come from studies using nonphysiologic model systems rather than actual immune cells. In this study, we used a dual-tagging proteomic strategy to identify the components of the MyD88 signalosome in murine macrophages stimulated with lipid A. This systems approach revealed 16 potential MyD88-interacting partners, one of which, flightless I homolog (Fliih) was verified to interact with MyD88 and was further characterized as a negative regulator of the TLR4-MyD88 pathway. Conversely, a reduction in endogenous Fliih by small-interfering RNA enhanced the activation of NF-κB, as well as cytokine production by LPS. Results from immunoprecipitation and a two-hybrid assay further indicated that Fliih directly interfered with the formation of the TLR4-MyD88 signaling complex. These results in turn suggest a new basis for the regulation of the TLR pathway by Fliih.


Journal of the American Society for Mass Spectrometry | 2003

Precise peptide sequencing and protein quantification in the human proteome through in vivo lysine-specific mass tagging

Sheng Gu; Songqin Pan; E. Morton Bradbury; Xian Chen

Proteomics studies demand new scalable and automatable MS-based methods with higher specificity and accuracy. Here we describe an accurate and efficient method for both precise quantification and comprehensive de novo identification of peptide sequences in complex mixtures. The unique feature of this method is based on the incorporation of deuterium-labeled (heavy) lysines into proteins through in vivo cell culturing, which introduces specific mass tags at the carboxyl termini of proteolytic peptides when cleaved by certain proteases. The mass shift between the unlabeled and the deuterated lysine (lys-d4) assigns a mass signature to all lysine-containing peptides in any pool of proteolytic peptides. Lys-d4 tags can also serve as internal markers in MS/MS fragment spectra when they are buried in some peptide sequences due to miscleavages. This signal specificity circumvents the mass accuracy limitations in determining particular amino acid residues for de novo sequencing. Further, this strategy of lysine-specific tagging was successfully implemented to measure the differential protein expression of human skin fibroblast cells in response to heat shock.


Journal of Proteome Research | 2013

Comparison of the Membrane Proteome of Virulent Mycobacterium tuberculosis and the Attenuated Mycobacterium bovis BCG Vaccine Strain by Label-Free Quantitative Proteomics

Harsha P. Gunawardena; Meghan E. Feltcher; John A. Wrobel; Sheng Gu; Miriam Braunstein; Xian Chen

The Mycobacterium tuberculosis membrane is rich in antigens that are potential targets for diagnostics and the development of new vaccines. To better understand the mechanisms underlying MTB virulence and identify new targets for therapeutic intervention, we investigated the differential composition of membrane proteomes between virulent M. tuberculosis H37Rv (MTB) and the Mycobacterium bovis BCG vaccine strain. To compare the membrane proteomes, we used LC-MS/MS analysis in combination with label-free quantitative proteomics, utilizing the area under the curve of the extracted ion chromatograms of peptides obtained from m/z and retention time alignment of MS1 features. With this approach, we obtained relative abundance ratios for 2203 identified membrane-associated proteins in high confidence. Of these proteins, 294 showed statistically significant differences of at least two fold in relative abundance between MTB and BCG membrane fractions. Our comparative analysis detected several proteins associated with known genomic regions of difference between MTB and BCG as being absent, which validated the accuracy of our approach. In further support of our label-free quantitative data, we verified select protein differences by immunoblotting. To our knowledge, we have generated the first comprehensive and high-coverage profile of comparative membrane proteome changes between virulent MTB and its attenuated relative BCG, which helps elucidate the proteomic basis of the intrinsic virulence of the MTB pathogen.


Proceedings of the IEEE | 2002

New computational approaches for de novo peptide sequencing from MS/MS experiments

O. Lubeck; C. Sewell; Sheng Gu; Xian Chen; D.M. Cai

We describe computational methods to solve the problem of identifying novel proteins from tandem mass spectrometry (tandem MS or MS/MS) data and introduce new approaches that will give more accurate solutions. These new approaches integrate chemical information and knowledge into a graph-theoretic framework. Two sources of chemical information that we investigate are mass tagging and dissociation chemistry in the tandem MS process itself. We describe machine learning techniques that are used to classify peaks according to ion types based on known dissociation chemistry. We describe the algorithms that are implemented in a software code called PepSUMS. Using PepSUMS, we give results on the effectiveness of the new methods on the ultimate goal of improved protein identification.

Collaboration


Dive into the Sheng Gu's collaboration.

Top Co-Authors

Avatar

Xian Chen

University of North Carolina at Chapel Hill

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Songqin Pan

University of California

View shared research outputs
Top Co-Authors

Avatar

Tianyi Wang

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yu Chun Du

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Zhihe Liu

University of New Mexico

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Chien-an A. Hu

University of New Mexico

View shared research outputs
Researchain Logo
Decentralizing Knowledge