In order to save manpower and time costs,and to achieve simultaneous detection of multiple animal-derived components in meat and meat products,this study used multiple nucleotide polymorphism(MNP)marker technology bas...In order to save manpower and time costs,and to achieve simultaneous detection of multiple animal-derived components in meat and meat products,this study used multiple nucleotide polymorphism(MNP)marker technology based on the principle of high-throughput sequencing,and established a multi-locus 10 animalderived components identification method of cattle,goat,sheep,donkey,horse,chicken,duck,goose,pigeon,quail in meat and meat products.The specific loci of each species could be detected and the species could be accurately identified,including 5 loci for cattle and duck,3 loci for sheep,9 loci for chicken and horse,10 loci for goose and pigeon,6 loci for quail and 1 locus for donkey and goat,and an adulteration model was established to simulate commercially available samples.The results showed that the method established in this study had high throughput,good repeatability and accuracy,and was able to identify 10 animalderived components simultaneously with 100%repeatability accuracy.The detection limit was 0.1%(m/m)in simulated samples of chicken,duck and horse.Using the method established in this study to test commercially available samples,4 samples from 14 commercially available samples were detected to be inconsistent with the labels,of which 2 did not contain the target ingredient and 2 were adulterated with small amounts of other ingredients.展开更多
Background:Male infertility is an important issue that causes low production in the animal industry.To solve the male fertility crisis in the animal industry,the prediction of sperm quality is the most important step....Background:Male infertility is an important issue that causes low production in the animal industry.To solve the male fertility crisis in the animal industry,the prediction of sperm quality is the most important step.Sperm RNA is the potential marker for male fertility prediction.We hypothesized that the expression of functional genes related to fertilization will be the best target for male fertility prediction markers.To investigate optimum male fertility prediction marker,we compared target genes expression level and a wide range of field data acquired from artificial insemination of boar semen.Results:Among the genes related to acrosomal vesicle exocytosis and sperm–oocyte fusion,equatorin(EQTN),zona pellucida sperm-binding protein 4(ZP4),and sperm acrosome membrane-associated protein 3 exhibited high accuracy(70%,90%,and 70%,respectively)as markers to evaluate male fertility.Combinations of EQTN-ZP4,ZP4-protein unc-13 homolog B,and ZP4-regulating synaptic membrane exocytosis protein 1(RIMS1)showed the highest prediction value,and all these markers are involved in the acrosome reaction.Conclusion:The EQTN-ZP4 model was efficient in clustering the high-fertility group and may be useful for selection of animal that has superior fertility in the livestock industry.Compared to the EQTN-ZP4 model,the ZP4-RIMS1 model was more efficient in clustering the low-fertility group and may be useful in the diagnosis of male infertility in humans and other animals.The appointed translational animal model and established biomarker combination can be widely used in various scientific fields such as biomedical science.展开更多
Objective To describe correlation between multiple genetic tumor markers,carcinoembryonic antigen (CEA),cytokeratin 20 (CK20),and Survivin,and clinicopathological features of colorectal cancer (CRC) and to assess prog...Objective To describe correlation between multiple genetic tumor markers,carcinoembryonic antigen (CEA),cytokeratin 20 (CK20),and Survivin,and clinicopathological features of colorectal cancer (CRC) and to assess prognostic diagnosis value in cancer recurrence and metastasis.Methods A total of 92 patients with CRC,68 patients with precancerous lesions,and 29 control volunteers were collected for the detection of CEA,CK20,and Survivin expressions by using quantitative Real-Time PCR technology.Associations among these measurements and clinicopathological features of CRC,and cancer recurrence and metastasis rates in 4-year follow-up were analyzed.Results No mRNA expressions of CEA,CK20,or Survivin were detected in the control group.Expressions of CEA,CK20,and Survivin were 41.3%,47.8%,and 72.8% in CRC patients,respectively.The expressions of genetic tumor markers were related to the clinical stage and lymph node metastasis.In patients with Survivin high expression,4-year survival rate was significantly lower than that in Survivin low expression.The multiple tumor markers assay for CRC patients showed higher specificity and positive detection rate than single marker assay.Patients with CEA,CK20,and Survivin simultaneous expressions had significantly higher 4-year recurrence rate and death rate than those with only one or two markers expression.ConclusionMultiple tumor markers assay including CEA,CK20,and Survivin in peripheral blood by quantitative Real-Time PCR can be an ideal method for the surveillance of the recurrence and prognosis for CRC patients.展开更多
基金financially supported by National Key R&D Program(2021YFF0701905)。
文摘In order to save manpower and time costs,and to achieve simultaneous detection of multiple animal-derived components in meat and meat products,this study used multiple nucleotide polymorphism(MNP)marker technology based on the principle of high-throughput sequencing,and established a multi-locus 10 animalderived components identification method of cattle,goat,sheep,donkey,horse,chicken,duck,goose,pigeon,quail in meat and meat products.The specific loci of each species could be detected and the species could be accurately identified,including 5 loci for cattle and duck,3 loci for sheep,9 loci for chicken and horse,10 loci for goose and pigeon,6 loci for quail and 1 locus for donkey and goat,and an adulteration model was established to simulate commercially available samples.The results showed that the method established in this study had high throughput,good repeatability and accuracy,and was able to identify 10 animalderived components simultaneously with 100%repeatability accuracy.The detection limit was 0.1%(m/m)in simulated samples of chicken,duck and horse.Using the method established in this study to test commercially available samples,4 samples from 14 commercially available samples were detected to be inconsistent with the labels,of which 2 did not contain the target ingredient and 2 were adulterated with small amounts of other ingredients.
基金supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF),funded by the Ministry of Education(NRF-2018R1A6A1A03025159).
文摘Background:Male infertility is an important issue that causes low production in the animal industry.To solve the male fertility crisis in the animal industry,the prediction of sperm quality is the most important step.Sperm RNA is the potential marker for male fertility prediction.We hypothesized that the expression of functional genes related to fertilization will be the best target for male fertility prediction markers.To investigate optimum male fertility prediction marker,we compared target genes expression level and a wide range of field data acquired from artificial insemination of boar semen.Results:Among the genes related to acrosomal vesicle exocytosis and sperm–oocyte fusion,equatorin(EQTN),zona pellucida sperm-binding protein 4(ZP4),and sperm acrosome membrane-associated protein 3 exhibited high accuracy(70%,90%,and 70%,respectively)as markers to evaluate male fertility.Combinations of EQTN-ZP4,ZP4-protein unc-13 homolog B,and ZP4-regulating synaptic membrane exocytosis protein 1(RIMS1)showed the highest prediction value,and all these markers are involved in the acrosome reaction.Conclusion:The EQTN-ZP4 model was efficient in clustering the high-fertility group and may be useful for selection of animal that has superior fertility in the livestock industry.Compared to the EQTN-ZP4 model,the ZP4-RIMS1 model was more efficient in clustering the low-fertility group and may be useful in the diagnosis of male infertility in humans and other animals.The appointed translational animal model and established biomarker combination can be widely used in various scientific fields such as biomedical science.
文摘Objective To describe correlation between multiple genetic tumor markers,carcinoembryonic antigen (CEA),cytokeratin 20 (CK20),and Survivin,and clinicopathological features of colorectal cancer (CRC) and to assess prognostic diagnosis value in cancer recurrence and metastasis.Methods A total of 92 patients with CRC,68 patients with precancerous lesions,and 29 control volunteers were collected for the detection of CEA,CK20,and Survivin expressions by using quantitative Real-Time PCR technology.Associations among these measurements and clinicopathological features of CRC,and cancer recurrence and metastasis rates in 4-year follow-up were analyzed.Results No mRNA expressions of CEA,CK20,or Survivin were detected in the control group.Expressions of CEA,CK20,and Survivin were 41.3%,47.8%,and 72.8% in CRC patients,respectively.The expressions of genetic tumor markers were related to the clinical stage and lymph node metastasis.In patients with Survivin high expression,4-year survival rate was significantly lower than that in Survivin low expression.The multiple tumor markers assay for CRC patients showed higher specificity and positive detection rate than single marker assay.Patients with CEA,CK20,and Survivin simultaneous expressions had significantly higher 4-year recurrence rate and death rate than those with only one or two markers expression.ConclusionMultiple tumor markers assay including CEA,CK20,and Survivin in peripheral blood by quantitative Real-Time PCR can be an ideal method for the surveillance of the recurrence and prognosis for CRC patients.
