10 results on '"Lin, Qingsong"'
Search Results
2. Cyberlindnera jadinii yeast as a functional protein source: Modulation of immunoregulatory pathways in the intestinal proteome of zebrafish (Danio rerio)
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Kathiresan Purushothaman, Alexander D. Crawford, Sérgio D.C. Rocha, Aleksandar B. Göksu, Byron Morales Lange, Liv Torunn Mydland, Shubha Vij, Lin Qingsong, Margareth Øverland, and Charles McL. Press
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Non saccharomyces yeast ,Innate immunity ,KEGG pathways analysis ,iTRAQ ,2D LC-MS/MS ,Proteomics ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Yeasts contain bioactive components that can enhance fish immune robustness and disease resistance. Our study focused on analyzing intestinal immunoregulatory pathways in zebrafish (Danio rerio) using iTRAQ and 2D LC-MS/MS to quantify intestinal proteins. Zebrafish were fed either control diet (C) or diet supplemented with autolyzed Cyberlindnera jadinii (ACJ). KEGG analysis revealed that ACJ yeast diet induced increased abundance of proteins related to arginine and proline metabolism, phagosome, C-lectin receptor signaling, ribosome and PPAR signaling pathways, which can modulate and enhance innate immune responses. ACJ yeast diet also showed decreased abundance of proteins associated with inflammatory pathways, including apoptosis, necroptosis and ferroptosis. These findings indicate boosted innate immune response and control of inflammation-related pathways in zebrafish intestine. Our findings in the well annotated proteome of zebrafish enabled a detailed investigation of intestinal responses and provide insight into health-beneficial effects of yeast species C. jadinii, which is relevant for aquaculture species.
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- 2024
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3. Comparative proteomics of Tobacco mosaic virus-infected Nicotiana tabacum plants identified major host proteins involved in photosystems and plant defence.
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Das, Prem Prakash, Lin, Qingsong, and Wong, Sek-Man
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PROTEOMICS , *TOBACCO mosaic virus , *TOBACCO , *PHOTOSYSTEMS , *CHLOROPHYLL-binding proteins - Abstract
Abstract Tobacco mosaic virus (TMV) is a positive single-stranded RNA virus. Its 5′ end ORF codes for the replicase proteins, namely 126 kDa and 183 kDa, respectively. These proteins interact with many host proteins to form a virus replication complex (VRC). This study aims to dissect the proteome profile of TMV-infected Nicotiana tabacum in host cellular and molecular pathways. We used the isobaric tags for relative and absolute quantification (iTRAQ) technique to analyse the differential global proteomic profile of TMV infected and mock infected plants. Out of 1897 total proteins, we identified 407 differentially abundant proteins and grouped them into three functional categories, namely metabolism, cellular processes and signalling processing. Our results showed that photosynthesis, carbon metabolism, plant defence, protein synthesis, and protein processing in the endoplasmic reticulum were significantly altered. Carbon metabolism and photosynthesis were present in very low abundance, whereas accumulation of reactive oxygen species and misfolded proteins lead to the accumulation of thioredoxin H-type 1. In conclusion, we identified several key host proteins that are involved in TMV infection/replication in N. tabacum plants. Significance of the study TMV is one of the most widely studied plant virus. It is used as a tool to study host-virus interaction. There are several host proteins reported that facilitate VRC formation and replication of TMV. However, there is limited knowledge in the expression regulation of these host proteins upon TMV infection. This study is the first report that investigates the response of host protein expression involved in TMV infection through a quantitative proteomics technique iTRAQ, combined with LC-MS/MS analysis. We used TMV-infected Nicotiana tabacum plants to investigate the effects of TMV infection on host proteins. Our results revealed differential abundance of proteins involving various pathways in protein translation, protein processing, photosynthesis and plant defence. There was a high abundance of thioredoxin H-type 1, a protein that counters oxidative stress and accelerated regulation of fatty acid synthesis to provide additional lipid molecules for VRC formation. There was a significant reduction in abundance of psaA and psbB proteins in the photosynthetic pathways. Our results identified key candidate host proteins involved in TMV-infected N. tabacum for functional studies in future. Highlights • Elevated thioredoxin H-type 1 protects TMV-infected plants from oxidative damage • Significant decrease in abundance of psaA and psbB in photosystems I and II • Increased fatty acid enzymes provide extra lipid molecules to build VRC scaffolds [ABSTRACT FROM AUTHOR]
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- 2019
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4. Recent advances in quantitative and chemical proteomics for autophagy studies.
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Wong, Yin-Kwan, Zhang, Jianbin, Hua, Zi-Chun, Lin, Qingsong, Shen, Han-Ming, and Wang, Jigang
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Macroautophagy/autophagy is an evolutionarily well-conserved cellular degradative process with important biological functions that is closely implicated in health and disease. In recent years, quantitative mass spectrometry-based proteomics and chemical proteomics have emerged as important tools for the study of autophagy, through large-scale unbiased analysis of the proteome or through highly specific and accurate analysis of individual proteins of interest. At present, a variety of approaches have been successfully applied, including (i) expression and interaction proteomics for the study of protein post-translational modifications, (ii) investigating spatio-temporal dynamics of protein synthesis and degradation, and (iii) direct determination of protein activity and profiling molecular targets in the autophagic process. In this review, we attempted to provide an overview of principles and techniques relevant to the application of quantitative and chemical proteomics methods to autophagy, and outline the current landscape as well as future outlook of these methods in autophagy research. [ABSTRACT FROM PUBLISHER]
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- 2017
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5. Quantitative proteome profiles help reveal efficient xylose utilization mechanisms in solventogenic Clostridium sp. strain BOH3.
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Basu, Anindya, Xin, Fengxue, Lim, Teck Kwang, Lin, Qingsong, Yang, Kun‐Lin, and He, Jianzhong
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ABSTRACT Development of sustainable biobutanol production platforms from lignocellulosic materials is impeded by inefficient five carbon sugar uptake by solventogenic bacteria. The recently isolated Clostridium sp. strain BOH3 is particularly advantaged in this regard as it serves as a model organism which can simultaneously utilize both glucose and xylose for high butanol (>15 g/L) production. Strain BOH3 was, therefore, investigated for its metabolic mechanisms for efficient five carbon sugar uptake using a quantitative proteomics based approach. The proteomics data show that proteins within the CAC1341-1349 operon play a pivotal role for efficient xylose uptake within the cells to produce butanol. Furthermore, up-regulation of key enzymes within the riboflavin synthesis pathway explained that xylose could induce higher riboflavin production capability of the bacteria (e.g., ∼80 mg/L from glucose vs. ∼120 mg/L from xylose). Overall results from the present experimental approach indicated that xylose-fed BOH3 cultures are subjected to high levels of redox stress which coupled with the solvent stress-trigger a sporulation response within the cells earlier than the glucose-fed cultures. The study lays the platform for metabolic engineering strategies in designing organisms for efficient butanol and other value-added chemicals such as riboflavin production. Biotechnol. Bioeng. 2017;114: 1959-1969. © 2017 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]
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- 2017
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6. Quantitative chemical proteomics profiling of de novo protein synthesis during starvation-mediated autophagy.
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Wang, Jigang, Zhang, Jianbin, Lee, Yew-Mun, Koh, Pin-Lang, Ng, Shukie, Bao, Feichao, Lin, Qingsong, and Shen, Han-Ming
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- 2016
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7. Quantitative chemical proteomics reveals anti-cancer targets of Celastrol in HCT116 human colon cancer cells.
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Zhang, Xing, Zhou, Jing, Zhu, Yongping, Wong, Yin Kwan, Liu, Dandan, Gao, Peng, Lin, Qingsong, Zhang, Jianbin, Chen, Xiao, and Wang, Jigang
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Background: Celastrol (Cel) is a naturally-derived compound with anti-cancer properties and exerts beneficial effects against various diseases. Although an extensive body of research already exists for Cel, the vast majority are inductive studies with limited validation of specific pathways and functions. The cellular targets that bind to Cel remain poorly characterized, which limits attempts to uncover its mechanism of action.Purpose: The present study aims to comprehensively identify the protein targets of Cel in HCT116 cells in an unbiased manner, and elucidate the mechanism of the anti-cancer activity of Cel based on target information.Methods: A comprehensive analysis of protein targets that bind to Cel was performed in HCT116 colon cancer cells using a quantitative chemical biology method. A Cel probe (Cel-P) was synthesized to allow in situ monitoring of treatment in living HCT116 cells, and specific targets were identified with a quantitative chemical biology method (isobaric tags for relative and absolute quantitation) using mass spectrometry.Results: In total, 100 protein targets were identified as specific targets of Cel. Pathways associated with the targets were investigated. Multiple pathways were demonstrated to be potential effectors of Cel. These pathways included the suppression of protein synthesis, deregulation of cellular reactive oxygen species, and suppression of fatty acid metabolism, and they were validated with in vitro experiments.Conclusion: The extensive information on the protein targets of Cel and their functions uncovered by this study will enhance the current understanding of the mechanism of action of Cel and serve as a valuable knowledge base for future studies. [ABSTRACT FROM AUTHOR]- Published
- 2022
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8. iTRAQ-based analysis of leaf proteome identifies important proteins in secondary metabolite biosynthesis and defence pathways crucial to cross-protection against TMV.
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Das, Prem Prakash, Chua, Gao Ming, Lin, Qingsong, and Wong, Sek-Man
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PROTEOMICS , *TOBACCO mosaic virus , *NICOTIANA benthamiana , *HOST plants , *KNOWLEDGE gap theory - Abstract
Abstract Cross-protection is a phenomenon in which infection with a mild virus strain protects host plants against subsequent infection with a closely related severe virus strain. This study showed that a mild strain mutant virus, Tobacco mosaic virus (TMV)-43A could cross protect Nicotiana benthamiana plants against wild-type TMV. Furthermore, we investigated the host responses at the proteome level to identify important host proteins involved in cross-protection. We used the isobaric tags for relative and absolute quantification (iTRAQ) technique to analyze the proteome profiles of TMV, TMV-43A and cross-protected plants at different time-points. Our results showed that TMV-43A can cross-protect N. benthamiana plants from TMV. In cross-protected plants, photosynthetic activities were augmented, as supported by the increased accumulation of 1-deoxy-D-xylulose-5-phosphate reductoisomerase (DXR) and geranylgeranyl diphosphate synthase (GGPS) enzymes, which are crucial for chlorophyll biosynthesis. The increased abundance of ROS scavenging enzymes like thioredoxins and L-ascorbate peroxidase would prevent oxidative damage in cross-protected plants. Interestingly, the abundance of defence-related proteins (14–3-3 and NbSGT1) decreased, along with a reduction in virus accumulation during cross-protection. In conclusion, we have identified several important host proteins that are crucial in cross-protection to counter TMV infection in N. benthamiana plants. Biological significance TMV is the most studied model for host-virus interaction in plants. It can infect wide varieties of plant species, causing significant economic losses. Cross protection is one of the methods to combat virus infection. A few cross-protection mechanisms have been proposed, including replicase/coat protein-mediated resistance, RNA silencing, and exclusion/spatial separation between virus strains. However, knowledge on host responses at the proteome level during cross protection is limited. To address this knowledge gap, we have leveraged on a global proteomics analysis approach to study cross protection. We discovered that TMV-43A (protector) protects N. benthamiana plants from TMV (challenger) infection through multiple host pathways: secondary metabolite biosynthesis, photosynthesis, defence, carbon metabolism, protein translation and processing and amino acid biosynthesis. In the secondary metabolite biosynthesis pathway, enzymes 1-deoxy-D-xylulose-5-phosphate reductoisomerase (DXR) and geranylgeranyl diphosphate synthase (GGPS) play crucial roles in chlorophyll biosynthesis during cross protection. In addition, accumulation of ROS scavenging enzymes was also found in cross-protected plants, providing rescues from excessive oxidative damage. Reduced abundance of plant defence proteins is correlated to reduced virus accumulation in host plants. These findings have increased our knowledge in host responses during cross-protection. Graphical abstract Unlabelled Image Highlights • TMV-43A cross-protects N. benthamiana plants from TMV. • Elevated levels of DXR and GGPS enzymes support chlorophyll biosynthesis. • Thioredoxins and L-ascorbate peroxidase protect plants from oxidative damage. • Reduced accumulation of defence proteins support host survival. [ABSTRACT FROM AUTHOR]
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- 2019
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9. Identification of cypermethrin induced protein changes in green algae by iTRAQ quantitative proteomics.
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Gao, Yan, Lim, Teck Kwang, Lin, Qingsong, and Li, Sam Fong Yau
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CYPERMETHRIN , *GREEN algae , *PROTEOMICS , *PESTICIDE pollution , *BIOMARKERS , *PHOTOSYNTHESIS - Abstract
Cypermethrin (CYP) is one of the most widely used pesticides in large scale for agricultural and domestic purpose and the residue often seriously affects aquatic system. Environmental pollutant-induced protein changes in organisms could be detected by proteomics, leading to discovery of potential biomarkers and understanding of mode of action. While proteomics investigations of CYP stress in some animal models have been well studied, few reports about the effects of exposure to CYP on algae proteome were published. To determine CYP effect in algae, the impact of various dosages (0.001 μg/L, 0.01 μg/L and 1 μg/L) of CYP on green algae Chlorella vulgaris for 24 h and 96 h was investigated by using iTRAQ quantitative proteomics technique. A total of 162 and 198 proteins were significantly altered after CYP exposure for 24 h and 96 h, respectively. Overview of iTRAQ results indicated that the influence of CYP on algae protein might be dosage-dependent. Functional analysis of differentially expressed proteins showed that CYP could induce protein alterations related to photosynthesis, stress responses and carbohydrate metabolism. This study provides a comprehensive view of complex mode of action of algae under CYP stress and highlights several potential biomarkers for further investigation of pesticide-exposed plant and algae. [ABSTRACT FROM AUTHOR]
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- 2016
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10. Target identification of natural and traditional medicines with quantitative chemical proteomics approaches.
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Wang, Jigang, Gao, Liqian, Lee, Yew Mun, Kalesh, Karunakaran A., Ong, Yong Siang, Lim, Jaehong, Jee, Joo-Eun, Sun, Hongyan, Lee, Su Seong, Hua, Zi-Chun, and Lin, Qingsong
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TRADITIONAL medicine , *PROTEOMICS , *QUANTITATIVE chemical analysis , *BIOCHEMICAL mechanism of action , *MASS spectrometry - Abstract
Natural and traditional medicines, being a great source of drugs and drug leads, have regained wide interests due to the limited success of high-throughput screening of compound libraries in the past few decades and the recent technology advancement. Many drugs/bioactive compounds exert their functions through interaction with their protein targets, with more and more drugs showing their ability to target multiple proteins, thus target identification has an important role in drug discovery and biomedical research fields. Identifying drug targets not only furthers the understanding of the mechanism of action (MOA) of a drug but also reveals its potential therapeutic applications and adverse side effects. Chemical proteomics makes use of affinity chromatography approaches coupled with mass spectrometry to systematically identify small molecule–protein interactions. Although traditional affinity-based chemical proteomics approaches have made great progress in the identification of cellular targets and elucidation of MOAs of many bioactive molecules, nonspecific binding remains a major issue which may reduce the accuracy of target identification and may hamper the drug development process. Recently, quantitative proteomics approaches, namely, metabolic labeling, chemical labeling, or label-free approaches, have been implemented in target identification to overcome such limitations. In this review, we will summarize and discuss the recent advances in the application of various quantitative chemical proteomics approaches for the identification of targets of natural and traditional medicines. [ABSTRACT FROM AUTHOR]
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- 2016
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