The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Sixue Chen - One of the best experts on this subject based on the ideXlab platform.

  • metabolomics of early stage plant cell microbe interaction using stable isotope labeling
    Frontiers in Plant Science, 2018
    Co-Authors: Wenwen Kong, Qiuying Pang, Qijie Guan, Tong Zhang, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant-microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented a highly effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reaction monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomics analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Image_2_Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling.TIF
    2018
    Co-Authors: Qiuying Pang, Wenwen Kong, Qijie Guan, Tong Zhang, Yang Wang, Xiufeng Yan, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Table_2_Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling.pdf
    2018
    Co-Authors: Qiuying Pang, Wenwen Kong, Qijie Guan, Tong Zhang, Yang Wang, Xiufeng Yan, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Table_3_Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling.xlsx
    2018
    Co-Authors: Qiuying Pang, Wenwen Kong, Qijie Guan, Tong Zhang, Yang Wang, Xiufeng Yan, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling
    Frontiers Media S.A., 2018
    Co-Authors: Wenwen Kong, Qiuying Pang, Qijie Guan, Sixue Chen, Tong Zhang, Yang Wang, Xiufeng Yan
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms

Qiuying Pang - One of the best experts on this subject based on the ideXlab platform.

  • metabolomics of early stage plant cell microbe interaction using stable isotope labeling
    Frontiers in Plant Science, 2018
    Co-Authors: Wenwen Kong, Qiuying Pang, Qijie Guan, Tong Zhang, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant-microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented a highly effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reaction monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomics analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Image_2_Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling.TIF
    2018
    Co-Authors: Qiuying Pang, Wenwen Kong, Qijie Guan, Tong Zhang, Yang Wang, Xiufeng Yan, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Table_2_Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling.pdf
    2018
    Co-Authors: Qiuying Pang, Wenwen Kong, Qijie Guan, Tong Zhang, Yang Wang, Xiufeng Yan, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Table_3_Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling.xlsx
    2018
    Co-Authors: Qiuying Pang, Wenwen Kong, Qijie Guan, Tong Zhang, Yang Wang, Xiufeng Yan, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling
    Frontiers Media S.A., 2018
    Co-Authors: Wenwen Kong, Qiuying Pang, Qijie Guan, Sixue Chen, Tong Zhang, Yang Wang, Xiufeng Yan
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms

Elena Rapizzi - One of the best experts on this subject based on the ideXlab platform.

  • Metabolome guided genomics to identify pathogenic variants in isocitrate dehydrogenase fumarate hydratase and succinate dehydrogenase genes in pheochromocytoma and paraganglioma
    Genetics in Medicine, 2019
    Co-Authors: Susan Richter, Laura Gieldon, Ying Pang, Mirko Peitzsch, Thanh Huynh, Rocio Leton, Bruna Viana, Tonino Ercolino, Anastasios Mangelis, Elena Rapizzi
    Abstract:

    PURPOSE Metabolic aberrations have been described in neoplasms with pathogenic variants (PV) in the Krebs cycle genes encoding succinate dehydrogenase (SDH), fumarate hydratase (FH) and isocitrate dehydrogenase (IDH). In turn, accumulation of oncometabolites succinate, fumarate, and 2-hydroxyglutarate can be employed to identify tumors with those PV . Additionally, such metabolic readouts may aid in genetic variant interpretation and improve diagnostics. METHODS Using liquid chromatography-mass spectrometry, 395 pheochromocytomas and paragangliomas (PPGLs) from 391 patients were screened for metabolites to indicate Krebs cycle aberrations. Multigene panel sequencing was applied to detect driver PV in cases with indicative metabolite profiles but undetermined genetic drivers. RESULTS Aberrant Krebs cycle Metabolomes identified rare cases of PPGLs with germline PV in FH and somatic PV in IDHx and SDHx, including the first case of a somatic IDH2 PV in PPGL. Metabolomics also reliably identified PPGLs with SDHx loss-of-function (LOF) PV. Therefore we utilized tumor metabolite profiles to further classify variants of unknown significance in SDHx, thereby enabling missense variants associated with SDHx LOF to be distinguished from benign variants. CONCLUSION We propose incorporation of Metabolome data into the diagnostics algorithm in PPGLs to guide genetic testing and variant interpretation and to help identify rare cases with PV in FH and IDHx.

  • Metabolome guided genomics to identify pathogenic variants in isocitrate dehydrogenase fumarate hydratase and succinate dehydrogenase genes in pheochromocytoma and paraganglioma
    Genetics in Medicine, 2019
    Co-Authors: Susan Richter, Laura Gieldon, Ying Pang, Mirko Peitzsch, Thanh Huynh, Rocio Leton, Bruna Viana, Tonino Ercolino, Anastasios Mangelis, Elena Rapizzi
    Abstract:

    Metabolic aberrations have been described in neoplasms with pathogenic variants (PV) in the Krebs cycle genes encoding succinate dehydrogenase (SDH), fumarate hydratase (FH) and isocitrate dehydrogenase (IDH). In turn, accumulation of oncometabolites succinate, fumarate, and 2-hydroxyglutarate can be employed to identify tumors with those PV . Additionally, such metabolic readouts may aid in genetic variant interpretation and improve diagnostics. Using liquid chromatography–mass spectrometry, 395 pheochromocytomas and paragangliomas (PPGLs) from 391 patients were screened for metabolites to indicate Krebs cycle aberrations. Multigene panel sequencing was applied to detect driver PV in cases with indicative metabolite profiles but undetermined genetic drivers. Aberrant Krebs cycle Metabolomes identified rare cases of PPGLs with germline PV in FH and somatic PV in IDHx and SDHx, including the first case of a somatic IDH2 PV in PPGL. Metabolomics also reliably identified PPGLs with SDHx loss-of-function (LOF) PV. Therefore we utilized tumor metabolite profiles to further classify variants of unknown significance in SDHx, thereby enabling missense variants associated with SDHx LOF to be distinguished from benign variants. We propose incorporation of Metabolome data into the diagnostics algorithm in PPGLs to guide genetic testing and variant interpretation and to help identify rare cases with PV in FH and IDHx.

Susan Richter - One of the best experts on this subject based on the ideXlab platform.

  • Metabolome guided genomics to identify pathogenic variants in isocitrate dehydrogenase fumarate hydratase and succinate dehydrogenase genes in pheochromocytoma and paraganglioma
    Genetics in Medicine, 2019
    Co-Authors: Susan Richter, Laura Gieldon, Ying Pang, Mirko Peitzsch, Thanh Huynh, Rocio Leton, Bruna Viana, Tonino Ercolino, Anastasios Mangelis, Elena Rapizzi
    Abstract:

    PURPOSE Metabolic aberrations have been described in neoplasms with pathogenic variants (PV) in the Krebs cycle genes encoding succinate dehydrogenase (SDH), fumarate hydratase (FH) and isocitrate dehydrogenase (IDH). In turn, accumulation of oncometabolites succinate, fumarate, and 2-hydroxyglutarate can be employed to identify tumors with those PV . Additionally, such metabolic readouts may aid in genetic variant interpretation and improve diagnostics. METHODS Using liquid chromatography-mass spectrometry, 395 pheochromocytomas and paragangliomas (PPGLs) from 391 patients were screened for metabolites to indicate Krebs cycle aberrations. Multigene panel sequencing was applied to detect driver PV in cases with indicative metabolite profiles but undetermined genetic drivers. RESULTS Aberrant Krebs cycle Metabolomes identified rare cases of PPGLs with germline PV in FH and somatic PV in IDHx and SDHx, including the first case of a somatic IDH2 PV in PPGL. Metabolomics also reliably identified PPGLs with SDHx loss-of-function (LOF) PV. Therefore we utilized tumor metabolite profiles to further classify variants of unknown significance in SDHx, thereby enabling missense variants associated with SDHx LOF to be distinguished from benign variants. CONCLUSION We propose incorporation of Metabolome data into the diagnostics algorithm in PPGLs to guide genetic testing and variant interpretation and to help identify rare cases with PV in FH and IDHx.

  • Metabolome guided genomics to identify pathogenic variants in isocitrate dehydrogenase fumarate hydratase and succinate dehydrogenase genes in pheochromocytoma and paraganglioma
    Genetics in Medicine, 2019
    Co-Authors: Susan Richter, Laura Gieldon, Ying Pang, Mirko Peitzsch, Thanh Huynh, Rocio Leton, Bruna Viana, Tonino Ercolino, Anastasios Mangelis, Elena Rapizzi
    Abstract:

    Metabolic aberrations have been described in neoplasms with pathogenic variants (PV) in the Krebs cycle genes encoding succinate dehydrogenase (SDH), fumarate hydratase (FH) and isocitrate dehydrogenase (IDH). In turn, accumulation of oncometabolites succinate, fumarate, and 2-hydroxyglutarate can be employed to identify tumors with those PV . Additionally, such metabolic readouts may aid in genetic variant interpretation and improve diagnostics. Using liquid chromatography–mass spectrometry, 395 pheochromocytomas and paragangliomas (PPGLs) from 391 patients were screened for metabolites to indicate Krebs cycle aberrations. Multigene panel sequencing was applied to detect driver PV in cases with indicative metabolite profiles but undetermined genetic drivers. Aberrant Krebs cycle Metabolomes identified rare cases of PPGLs with germline PV in FH and somatic PV in IDHx and SDHx, including the first case of a somatic IDH2 PV in PPGL. Metabolomics also reliably identified PPGLs with SDHx loss-of-function (LOF) PV. Therefore we utilized tumor metabolite profiles to further classify variants of unknown significance in SDHx, thereby enabling missense variants associated with SDHx LOF to be distinguished from benign variants. We propose incorporation of Metabolome data into the diagnostics algorithm in PPGLs to guide genetic testing and variant interpretation and to help identify rare cases with PV in FH and IDHx.

Wenwen Kong - One of the best experts on this subject based on the ideXlab platform.

  • metabolomics of early stage plant cell microbe interaction using stable isotope labeling
    Frontiers in Plant Science, 2018
    Co-Authors: Wenwen Kong, Qiuying Pang, Qijie Guan, Tong Zhang, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant-microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented a highly effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reaction monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomics analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Image_2_Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling.TIF
    2018
    Co-Authors: Qiuying Pang, Wenwen Kong, Qijie Guan, Tong Zhang, Yang Wang, Xiufeng Yan, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Table_2_Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling.pdf
    2018
    Co-Authors: Qiuying Pang, Wenwen Kong, Qijie Guan, Tong Zhang, Yang Wang, Xiufeng Yan, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Table_3_Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling.xlsx
    2018
    Co-Authors: Qiuying Pang, Wenwen Kong, Qijie Guan, Tong Zhang, Yang Wang, Xiufeng Yan, Sixue Chen
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms.

  • Metabolomics of Early Stage Plant Cell–Microbe Interaction Using Stable Isotope Labeling
    Frontiers Media S.A., 2018
    Co-Authors: Wenwen Kong, Qiuying Pang, Qijie Guan, Sixue Chen, Tong Zhang, Yang Wang, Xiufeng Yan
    Abstract:

    Metabolomics has been used in unraveling metabolites that play essential roles in plant–microbe (including pathogen) interactions. However, the problem of profiling a plant Metabolome with potential contaminating metabolites from the coexisting microbes has been largely ignored. To address this problem, we implemented an effective stable isotope labeling approach, where the Metabolome of a plant bacterial pathogen Pseudomonas syringae pv. tomato (Pst) DC3000 was labeled with heavy isotopes. The labeled bacterial cells were incubated with Arabidopsis thaliana epidermal peels (EPs) with guard cells, and excessive bacterial cells were subsequently removed from the plant tissues by washing. The plant metabolites were characterized by liquid chromatography mass spectrometry using multiple reactions monitoring, which can differentiate plant and bacterial metabolites. Targeted metabolomic analysis suggested that Pst DC3000 infection may modulate stomatal movement by reprograming plant signaling and primary metabolic pathways. This proof-of-concept study demonstrates the utility of this strategy in differentiation of the plant and microbe Metabolomes, and it has broad applications in studying metabolic interactions between microbes and other organisms