EV-TRACK

Search > Results

You searched for: EV230603 (EV-TRACK ID)

Showing 1 - 4 of 4

Results list Study Tree

Details	EV-TRACK ID	Experiment nr.	Species	Sample type	Separation protocol	First author	Year	EV-METRIC
	EV230603	1/4	Bos taurus	Blood plasma	(d)(U)C qEV Filtration	Turner N	2023	67%
Study summary Full title SWATH-MS Analysis of Blood Plasma and Circulating Small Extracellular Vesicles Enables Detection of Putative Protein Biomarkers of Fertility in Young and Aged Dairy Cows. All authors Turner N, Abeysinghe P, Flay H, Meier S, Sadowski P, Mitchell MD Journal J Proteome Res Abstract The development of biomarkers of fertility could provide benefits for the genetic improvement of dai (show more...)The development of biomarkers of fertility could provide benefits for the genetic improvement of dairy cows. Circulating small extracellular vesicles (sEVs) show promise as diagnostic or prognostic markers since their cargo reflects the metabolic state of the cell of origin/ thus, they mirror the physiological status of the host. Here, we employed data-independent acquisition mass spectrometry to survey the plasma and plasma sEV proteomes of two different cohorts of Young (Peripubertal/ = 30) and Aged (Primiparous/ = 20) dairy cows () of high- and low-genetic merit of fertility and known pregnancy outcomes (ProteomeXchange data set identifier PXD042891). We established predictive models of fertility status with an area under the curve of 0.97 (sEV/ value = 3.302e-07) and 0.95 (plasma/ value = 6.405e-08). Biomarker candidates unique to high-fertility Young cattle had a sensitivity of 0.77 and specificity of 0.67 (* = 0.0287). Low-fertility biomarker candidates uniquely identified in sEVs from Young and Aged cattle had a sensitivity and specificity of 0.69 and 1.0, respectively (*** = 0.0005). Our bioinformatics pipeline enabled quantification of plasma and circulating sEV proteins associated with fertility phenotype. Further investigations are warranted to validate this research in a larger population, which may lead to improved classification of fertility status in cattle. (hide) EV-METRIC 67% (93rd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected. electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin Low-fertility Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (Differential) (ultra)centrifugation Commercial method Filtration Protein markers EV: CD9/ CD81/ Flotillin-1/ TSG101/ GAPDH non-EV: Albumin Proteomics yes Show all info Study aim Biomarker Sample Species Bos taurus Sample Type Blood plasma Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Pelleting performed Yes Pelleting: rotor type Type 50.2 Ti Pelleting: speed (g) 120,000 Filtration steps 0.2 or 0.22 ?m Commercial kit qEV Characterization: Protein analysis Protein Concentration Method microBCA Western Blot Detected EV-associated proteins CD9/ CD81/ Flotillin-1/ TSG101 Not detected EV-associated proteins GAPDH Detected contaminants Albumin Proteomics database No Detected contaminants Albumin Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Mean Reported size (nm) 100 EV concentration Yes EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV230603	2/4	Bos taurus	Blood plasma	(d)(U)C qEV Filtration	Turner N	2023	67%
Study summary Full title SWATH-MS Analysis of Blood Plasma and Circulating Small Extracellular Vesicles Enables Detection of Putative Protein Biomarkers of Fertility in Young and Aged Dairy Cows. All authors Turner N, Abeysinghe P, Flay H, Meier S, Sadowski P, Mitchell MD Journal J Proteome Res Abstract The development of biomarkers of fertility could provide benefits for the genetic improvement of dai (show more...)The development of biomarkers of fertility could provide benefits for the genetic improvement of dairy cows. Circulating small extracellular vesicles (sEVs) show promise as diagnostic or prognostic markers since their cargo reflects the metabolic state of the cell of origin/ thus, they mirror the physiological status of the host. Here, we employed data-independent acquisition mass spectrometry to survey the plasma and plasma sEV proteomes of two different cohorts of Young (Peripubertal/ = 30) and Aged (Primiparous/ = 20) dairy cows () of high- and low-genetic merit of fertility and known pregnancy outcomes (ProteomeXchange data set identifier PXD042891). We established predictive models of fertility status with an area under the curve of 0.97 (sEV/ value = 3.302e-07) and 0.95 (plasma/ value = 6.405e-08). Biomarker candidates unique to high-fertility Young cattle had a sensitivity of 0.77 and specificity of 0.67 (* = 0.0287). Low-fertility biomarker candidates uniquely identified in sEVs from Young and Aged cattle had a sensitivity and specificity of 0.69 and 1.0, respectively (*** = 0.0005). Our bioinformatics pipeline enabled quantification of plasma and circulating sEV proteins associated with fertility phenotype. Further investigations are warranted to validate this research in a larger population, which may lead to improved classification of fertility status in cattle. (hide) EV-METRIC 67% (93rd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected. electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin High-fertility Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (Differential) (ultra)centrifugation Commercial method Filtration Protein markers EV: CD9/ CD81/ Flotillin-1/ TSG101/ GAPDH non-EV: Albumin Proteomics yes Show all info Study aim Biomarker Sample Species Bos taurus Sample Type Blood plasma Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Pelleting performed Yes Pelleting: rotor type Type 50.2 Ti Pelleting: speed (g) 120,000 Filtration steps 0.2 or 0.22 ?m Commercial kit qEV Characterization: Protein analysis Protein Concentration Method microBCA Western Blot Detected EV-associated proteins CD9/ CD81/ Flotillin-1/ TSG101 Not detected EV-associated proteins GAPDH Detected contaminants Albumin Proteomics database No Detected contaminants Albumin Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Mean Reported size (nm) 100 EV concentration Yes EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV230603	3/4	Bos taurus	Blood plasma	(d)(U)C qEV	Turner N	2023	67%
Study summary Full title SWATH-MS Analysis of Blood Plasma and Circulating Small Extracellular Vesicles Enables Detection of Putative Protein Biomarkers of Fertility in Young and Aged Dairy Cows. All authors Turner N, Abeysinghe P, Flay H, Meier S, Sadowski P, Mitchell MD Journal J Proteome Res Abstract The development of biomarkers of fertility could provide benefits for the genetic improvement of dai (show more...)The development of biomarkers of fertility could provide benefits for the genetic improvement of dairy cows. Circulating small extracellular vesicles (sEVs) show promise as diagnostic or prognostic markers since their cargo reflects the metabolic state of the cell of origin/ thus, they mirror the physiological status of the host. Here, we employed data-independent acquisition mass spectrometry to survey the plasma and plasma sEV proteomes of two different cohorts of Young (Peripubertal/ = 30) and Aged (Primiparous/ = 20) dairy cows () of high- and low-genetic merit of fertility and known pregnancy outcomes (ProteomeXchange data set identifier PXD042891). We established predictive models of fertility status with an area under the curve of 0.97 (sEV/ value = 3.302e-07) and 0.95 (plasma/ value = 6.405e-08). Biomarker candidates unique to high-fertility Young cattle had a sensitivity of 0.77 and specificity of 0.67 (* = 0.0287). Low-fertility biomarker candidates uniquely identified in sEVs from Young and Aged cattle had a sensitivity and specificity of 0.69 and 1.0, respectively (*** = 0.0005). Our bioinformatics pipeline enabled quantification of plasma and circulating sEV proteins associated with fertility phenotype. Further investigations are warranted to validate this research in a larger population, which may lead to improved classification of fertility status in cattle. (hide) EV-METRIC 67% (93rd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected. electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin Low-fertility Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (Differential) (ultra)centrifugation Commercial method Protein markers EV: CD9/ CD81/ Flotillin-1/ TSG101/ GAPDH non-EV: Albumin Proteomics yes Show all info Study aim Biomarker Sample Species Bos taurus Sample Type Blood plasma Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Pelleting performed Yes Pelleting: rotor type Type 70.1 Ti Pelleting: speed (g) 100,000 Commercial kit qEV Characterization: Protein analysis Protein Concentration Method microBCA Western Blot Detected EV-associated proteins CD9/ CD81/ Flotillin-1/ TSG101 Not detected EV-associated proteins GAPDH Detected contaminants Albumin Proteomics database No Detected contaminants Albumin Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Mean Reported size (nm) 125 EV concentration Yes EM EM-type Transmission-EM Image type Close-up, Wide-field

	EV230603	4/4	Bos taurus	Blood plasma	(d)(U)C qEV	Turner N	2023	67%
Study summary Full title SWATH-MS Analysis of Blood Plasma and Circulating Small Extracellular Vesicles Enables Detection of Putative Protein Biomarkers of Fertility in Young and Aged Dairy Cows. All authors Turner N, Abeysinghe P, Flay H, Meier S, Sadowski P, Mitchell MD Journal J Proteome Res Abstract The development of biomarkers of fertility could provide benefits for the genetic improvement of dai (show more...)The development of biomarkers of fertility could provide benefits for the genetic improvement of dairy cows. Circulating small extracellular vesicles (sEVs) show promise as diagnostic or prognostic markers since their cargo reflects the metabolic state of the cell of origin/ thus, they mirror the physiological status of the host. Here, we employed data-independent acquisition mass spectrometry to survey the plasma and plasma sEV proteomes of two different cohorts of Young (Peripubertal/ = 30) and Aged (Primiparous/ = 20) dairy cows () of high- and low-genetic merit of fertility and known pregnancy outcomes (ProteomeXchange data set identifier PXD042891). We established predictive models of fertility status with an area under the curve of 0.97 (sEV/ value = 3.302e-07) and 0.95 (plasma/ value = 6.405e-08). Biomarker candidates unique to high-fertility Young cattle had a sensitivity of 0.77 and specificity of 0.67 (* = 0.0287). Low-fertility biomarker candidates uniquely identified in sEVs from Young and Aged cattle had a sensitivity and specificity of 0.69 and 1.0, respectively (*** = 0.0005). Our bioinformatics pipeline enabled quantification of plasma and circulating sEV proteins associated with fertility phenotype. Further investigations are warranted to validate this research in a larger population, which may lead to improved classification of fertility status in cattle. (hide) EV-METRIC 67% (93rd percentile of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected. electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Blood plasma Sample origin High-fertility Focus vesicles extracellular vesicle Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture (Differential) (ultra)centrifugation Commercial method Protein markers EV: CD9/ CD81/ Flotillin-1/ TSG101/ GAPDH non-EV: Albumin Proteomics yes Show all info Study aim Biomarker Sample Species Bos taurus Sample Type Blood plasma Separation Method (Differential) (ultra)centrifugation dUC: centrifugation steps Between 800 g and 10,000 g Between 10,000 g and 50,000 g Between 100,000 g and 150,000 g Pelleting performed Yes Pelleting: rotor type Type 70.1 Ti Pelleting: speed (g) 100,000 Commercial kit qEV Characterization: Protein analysis Protein Concentration Method microBCA Western Blot Detected EV-associated proteins CD9/ CD81/ Flotillin-1/ TSG101 Not detected EV-associated proteins GAPDH Detected contaminants Albumin Proteomics database No Detected contaminants Albumin Characterization: Lipid analysis No Characterization: Particle analysis NTA Report type Mean Reported size (nm) 112 EV concentration Yes EM EM-type Transmission-EM Image type Close-up, Wide-field

				1 - 4 of 4

EV-TRACK ID	EV230603
species	Bos taurus
sample type	Blood plasma
condition	Low-fertility	High-fertility	Low-fertility	High-fertility
separation protocol	dUC/ qEV/ Filtration	dUC/ qEV/ Filtration	dUC/ qEV	dUC/ qEV
Exp. nr.	1	2	3	4
EV-METRIC %	67	67	67	67