iTRAQ-based proteomics identifies proteins associated with betaine accumulation in Lycium barbarum L
J Proteomics. 2023 Oct 23:105033. doi: 10.1016/j.jprot.2023.105033. Online ahead of print.ABSTRACTIn order to better understand the mechanism of betaine accumulation in Lycium barbarum L. (LBL), we used iTRAQ (Isotope relative and absolute quantitative labeling) proteomics to screen and identify differentially expressed proteins (DEPs) at five stages (S1-young fruit stage, S2-green fruit stage, S3- early yellowing stage, S4-late yellowing stage, S5-ripening stage). A total of 1799 DEPs and 171 betaine-related DEPs were identified, and phosphatidylethanolamine N-methyltransferase (NMT), choline monooxygenase (CMO), and beta...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Lingli Tian Xiaolu Zhao Ziying Hu Jun Liu Jiao Ma Yanli Fan Dunhua Liu Source Type: research
Proteomics approach reveals urinary markers for early pregnancy diagnosis in buffaloes
This study aimed to compare urine proteomics from non- and pregnant buffaloes in order to identify potential biomarkers of early pregnancy. Forty-four females underwent hormonal ovulation synchronization and were randomly divided into two experimental groups: inseminated (n = 30) and non-inseminated (n = 14). The pregnant females were further divided into two groups: pregnant at Day 12 (P12; n = 8) and at Day 18 (P18; n = 8) post-ovulation. The non-pregnant group was also subdivided into two groups: non-pregnant at Day 12 (NP12; n = 7) and at Day 18 (NP18; n = 7). Urine was collected from all females on Days 12 or 18. The ...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Viviane M Codognoto Fabiana F de Souza Thais R Cataldi Carlos A Labate La íza S de Camargo Pedro H Esteves Trindade Roberto R da Rosa Filho Diego J B de Oliveira Eunice Oba Source Type: research
Quantitative serum proteome analysis using tandem mass tags in dogs with epilepsy
This study included four groups of dogs (group A: healthy controls, group B: idiopathic epilepsy receiving antiepileptic medication (AEM), group C: idiopathic epilepsy without AEM, group D: structural epilepsy). Comparative quantitative proteomic analysis of serum samples among the groups was the main target of the study. Samples were analyzed by a quantitative Tandem-Mass-Tags approach on the Q-Exactive-Plus Hybrid Quadrupole-Orbitrap mass-spectrometer. Identification and relative quantification were performed in Proteome Discoverer. Data were analyzed using R. Gene ontology terms were analyzed based on Canis lupus famili...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Rania D Baka Josipa Kule š An đelo Beletić Vladimir Farka š Dina Re šetarMaslov Blanka Beer Ljubi ć Ivana Rubi ć Vladimir Mrljak Mar κ McLaughlin David Eckersall Zoe Polizopoulou Source Type: research
iTRAQ-based proteomics identifies proteins associated with betaine accumulation in Lycium barbarum L
J Proteomics. 2023 Oct 23:105033. doi: 10.1016/j.jprot.2023.105033. Online ahead of print.ABSTRACTIn order to better understand the mechanism of betaine accumulation in Lycium barbarum L. (LBL), we used iTRAQ (Isotope relative and absolute quantitative labeling) proteomics to screen and identify differentially expressed proteins (DEPs) at five stages (S1-young fruit stage, S2-green fruit stage, S3- early yellowing stage, S4-late yellowing stage, S5-ripening stage). A total of 1799 DEPs and 171 betaine-related DEPs were identified, and phosphatidylethanolamine N-methyltransferase (NMT), choline monooxygenase (CMO), and beta...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Lingli Tian Xiaolu Zhao Ziying Hu Jun Liu Jiao Ma Yanli Fan Dunhua Liu Source Type: research
Proteomics approach reveals urinary markers for early pregnancy diagnosis in buffaloes
This study aimed to compare urine proteomics from non- and pregnant buffaloes in order to identify potential biomarkers of early pregnancy. Forty-four females underwent hormonal ovulation synchronization and were randomly divided into two experimental groups: inseminated (n = 30) and non-inseminated (n = 14). The pregnant females were further divided into two groups: pregnant at Day 12 (P12; n = 8) and at Day 18 (P18; n = 8) post-ovulation. The non-pregnant group was also subdivided into two groups: non-pregnant at Day 12 (NP12; n = 7) and at Day 18 (NP18; n = 7). Urine was collected from all females on Days 12 or 18. The ...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Viviane M Codognoto Fabiana F de Souza Thais R Cataldi Carlos A Labate La íza S de Camargo Pedro H Esteves Trindade Roberto R da Rosa Filho Diego J B de Oliveira Eunice Oba Source Type: research
Quantitative serum proteome analysis using tandem mass tags in dogs with epilepsy
This study included four groups of dogs (group A: healthy controls, group B: idiopathic epilepsy receiving antiepileptic medication (AEM), group C: idiopathic epilepsy without AEM, group D: structural epilepsy). Comparative quantitative proteomic analysis of serum samples among the groups was the main target of the study. Samples were analyzed by a quantitative Tandem-Mass-Tags approach on the Q-Exactive-Plus Hybrid Quadrupole-Orbitrap mass-spectrometer. Identification and relative quantification were performed in Proteome Discoverer. Data were analyzed using R. Gene ontology terms were analyzed based on Canis lupus famili...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Rania D Baka Josipa Kule š An đelo Beletić Vladimir Farka š Dina Re šetarMaslov Blanka Beer Ljubi ć Ivana Rubi ć Vladimir Mrljak Mar κ McLaughlin David Eckersall Zoe Polizopoulou Source Type: research
iTRAQ-based proteomics identifies proteins associated with betaine accumulation in Lycium barbarum L
J Proteomics. 2023 Oct 23:105033. doi: 10.1016/j.jprot.2023.105033. Online ahead of print.ABSTRACTIn order to better understand the mechanism of betaine accumulation in Lycium barbarum L. (LBL), we used iTRAQ (Isotope relative and absolute quantitative labeling) proteomics to screen and identify differentially expressed proteins (DEPs) at five stages (S1-young fruit stage, S2-green fruit stage, S3- early yellowing stage, S4-late yellowing stage, S5-ripening stage). A total of 1799 DEPs and 171 betaine-related DEPs were identified, and phosphatidylethanolamine N-methyltransferase (NMT), choline monooxygenase (CMO), and beta...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Lingli Tian Xiaolu Zhao Ziying Hu Jun Liu Jiao Ma Yanli Fan Dunhua Liu Source Type: research
Proteomics approach reveals urinary markers for early pregnancy diagnosis in buffaloes
This study aimed to compare urine proteomics from non- and pregnant buffaloes in order to identify potential biomarkers of early pregnancy. Forty-four females underwent hormonal ovulation synchronization and were randomly divided into two experimental groups: inseminated (n = 30) and non-inseminated (n = 14). The pregnant females were further divided into two groups: pregnant at Day 12 (P12; n = 8) and at Day 18 (P18; n = 8) post-ovulation. The non-pregnant group was also subdivided into two groups: non-pregnant at Day 12 (NP12; n = 7) and at Day 18 (NP18; n = 7). Urine was collected from all females on Days 12 or 18. The ...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Viviane M Codognoto Fabiana F de Souza Thais R Cataldi Carlos A Labate La íza S de Camargo Pedro H Esteves Trindade Roberto R da Rosa Filho Diego J B de Oliveira Eunice Oba Source Type: research
Quantitative serum proteome analysis using tandem mass tags in dogs with epilepsy
This study included four groups of dogs (group A: healthy controls, group B: idiopathic epilepsy receiving antiepileptic medication (AEM), group C: idiopathic epilepsy without AEM, group D: structural epilepsy). Comparative quantitative proteomic analysis of serum samples among the groups was the main target of the study. Samples were analyzed by a quantitative Tandem-Mass-Tags approach on the Q-Exactive-Plus Hybrid Quadrupole-Orbitrap mass-spectrometer. Identification and relative quantification were performed in Proteome Discoverer. Data were analyzed using R. Gene ontology terms were analyzed based on Canis lupus famili...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Rania D Baka Josipa Kule š An đelo Beletić Vladimir Farka š Dina Re šetarMaslov Blanka Beer Ljubi ć Ivana Rubi ć Vladimir Mrljak Mar κ McLaughlin David Eckersall Zoe Polizopoulou Source Type: research
iTRAQ-based proteomics identifies proteins associated with betaine accumulation in Lycium barbarum L
J Proteomics. 2023 Oct 23:105033. doi: 10.1016/j.jprot.2023.105033. Online ahead of print.ABSTRACTIn order to better understand the mechanism of betaine accumulation in Lycium barbarum L. (LBL), we used iTRAQ (Isotope relative and absolute quantitative labeling) proteomics to screen and identify differentially expressed proteins (DEPs) at five stages (S1-young fruit stage, S2-green fruit stage, S3- early yellowing stage, S4-late yellowing stage, S5-ripening stage). A total of 1799 DEPs and 171 betaine-related DEPs were identified, and phosphatidylethanolamine N-methyltransferase (NMT), choline monooxygenase (CMO), and beta...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Lingli Tian Xiaolu Zhao Ziying Hu Jun Liu Jiao Ma Yanli Fan Dunhua Liu Source Type: research
Proteomics approach reveals urinary markers for early pregnancy diagnosis in buffaloes
This study aimed to compare urine proteomics from non- and pregnant buffaloes in order to identify potential biomarkers of early pregnancy. Forty-four females underwent hormonal ovulation synchronization and were randomly divided into two experimental groups: inseminated (n = 30) and non-inseminated (n = 14). The pregnant females were further divided into two groups: pregnant at Day 12 (P12; n = 8) and at Day 18 (P18; n = 8) post-ovulation. The non-pregnant group was also subdivided into two groups: non-pregnant at Day 12 (NP12; n = 7) and at Day 18 (NP18; n = 7). Urine was collected from all females on Days 12 or 18. The ...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Viviane M Codognoto Fabiana F de Souza Thais R Cataldi Carlos A Labate La íza S de Camargo Pedro H Esteves Trindade Roberto R da Rosa Filho Diego J B de Oliveira Eunice Oba Source Type: research
Quantitative serum proteome analysis using tandem mass tags in dogs with epilepsy
This study included four groups of dogs (group A: healthy controls, group B: idiopathic epilepsy receiving antiepileptic medication (AEM), group C: idiopathic epilepsy without AEM, group D: structural epilepsy). Comparative quantitative proteomic analysis of serum samples among the groups was the main target of the study. Samples were analyzed by a quantitative Tandem-Mass-Tags approach on the Q-Exactive-Plus Hybrid Quadrupole-Orbitrap mass-spectrometer. Identification and relative quantification were performed in Proteome Discoverer. Data were analyzed using R. Gene ontology terms were analyzed based on Canis lupus famili...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Rania D Baka Josipa Kule š An đelo Beletić Vladimir Farka š Dina Re šetarMaslov Blanka Beer Ljubi ć Ivana Rubi ć Vladimir Mrljak Mar κ McLaughlin David Eckersall Zoe Polizopoulou Source Type: research
iTRAQ-based proteomics identifies proteins associated with betaine accumulation in Lycium barbarum L
J Proteomics. 2023 Oct 23:105033. doi: 10.1016/j.jprot.2023.105033. Online ahead of print.ABSTRACTIn order to better understand the mechanism of betaine accumulation in Lycium barbarum L. (LBL), we used iTRAQ (Isotope relative and absolute quantitative labeling) proteomics to screen and identify differentially expressed proteins (DEPs) at five stages (S1-young fruit stage, S2-green fruit stage, S3- early yellowing stage, S4-late yellowing stage, S5-ripening stage). A total of 1799 DEPs and 171 betaine-related DEPs were identified, and phosphatidylethanolamine N-methyltransferase (NMT), choline monooxygenase (CMO), and beta...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Lingli Tian Xiaolu Zhao Ziying Hu Jun Liu Jiao Ma Yanli Fan Dunhua Liu Source Type: research
Proteomics approach reveals urinary markers for early pregnancy diagnosis in buffaloes
This study aimed to compare urine proteomics from non- and pregnant buffaloes in order to identify potential biomarkers of early pregnancy. Forty-four females underwent hormonal ovulation synchronization and were randomly divided into two experimental groups: inseminated (n = 30) and non-inseminated (n = 14). The pregnant females were further divided into two groups: pregnant at Day 12 (P12; n = 8) and at Day 18 (P18; n = 8) post-ovulation. The non-pregnant group was also subdivided into two groups: non-pregnant at Day 12 (NP12; n = 7) and at Day 18 (NP18; n = 7). Urine was collected from all females on Days 12 or 18. The ...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Viviane M Codognoto Fabiana F de Souza Thais R Cataldi Carlos A Labate La íza S de Camargo Pedro H Esteves Trindade Roberto R da Rosa Filho Diego J B de Oliveira Eunice Oba Source Type: research
Quantitative serum proteome analysis using tandem mass tags in dogs with epilepsy
This study included four groups of dogs (group A: healthy controls, group B: idiopathic epilepsy receiving antiepileptic medication (AEM), group C: idiopathic epilepsy without AEM, group D: structural epilepsy). Comparative quantitative proteomic analysis of serum samples among the groups was the main target of the study. Samples were analyzed by a quantitative Tandem-Mass-Tags approach on the Q-Exactive-Plus Hybrid Quadrupole-Orbitrap mass-spectrometer. Identification and relative quantification were performed in Proteome Discoverer. Data were analyzed using R. Gene ontology terms were analyzed based on Canis lupus famili...
Source: Journal of Proteomics - October 25, 2023 Category: Biochemistry Authors: Rania D Baka Josipa Kule š An đelo Beletić Vladimir Farka š Dina Re šetarMaslov Blanka Beer Ljubi ć Ivana Rubi ć Vladimir Mrljak Mar κ McLaughlin David Eckersall Zoe Polizopoulou Source Type: research
