Project description:Purpose: evaluate if different proestrus-estrus concentrations of estradiol (E2) and metestrus progesterone (P4) concentrations specifically regulate oviductal gene expression. Methods: ampulla and isthmus samples of animals whit a large pre-ovulatory follicle and a large CL (LF/LCL) and animals whit a small pre-ovulatory follicle and a small CL (SF/SCL) were collected after slaughter at day four of the estrous cycle. Total RNA was extracted and RNA sequencing was performed using the Illumina HiScanSeq (ampulla samples) and the Illumina HiSeq 2500 (isthmus samples) platforms. Results: After using HTSeq-count, approximately ~60% of the total reads uniquely mapped to the UMD 3.1 reference genome. In the ampulla samples, a total of 692 genes showed differential expression, of which 325 and 367 were up-regulated in the LF-LCL and SF-SCL samples, respectively. In the isthmus samples, a total of 590 genes showed differential expression, of which 274 and 316 were up-regulated in the isthmus of LF/LCL and SF/SCL samples, respectively. Conclusions: Our study represents the first detailed analysis of oviduct transcriptomes, generated by RNA-seq technology. Differential global gene expression profiles identified indicate that the biology of the bovine oviductal tissue is modulated by the periovulatory endocrine milieu. The LF-LCL group transcriptome may potentially reveal molecules associated with higher fertility.
Project description:Purpose: evaluate if different proestrus-estrus concentrations of estradiol (E2) and metestrus progesterone (P4) concentrations specifically regulate oviductal gene expression. Methods: ampulla and isthmus samples of animals with a large pre-ovulatory follicle and a large CL (LF/LCL) and animals with a small pre-ovulatory follicle and a small CL (SF/SCL) were collected after slaughter at day four of the estrous cycle. Total RNA was extracted and RNA sequencing was performed using the Illumina HiScanSeq (ampulla samples) and the Illumina HiSeq 2500 (isthmus samples) platforms. Results: After using HTSeq-count, approximately ~60% of the total reads uniquely mapped to the UMD 3.1 reference genome. In the ampulla samples, a total of 692 genes showed differential expression, of which 325 and 367 were up-regulated in the LF-LCL and SF-SCL samples, respectively. In the isthmus samples, a total of 590 genes showed differential expression, of which 274 and 316 were up-regulated in the isthmus of LF/LCL and SF/SCL samples, respectively. Conclusions: Our study represents the first detailed analysis of oviduct transcriptomes, generated by RNA-seq technology. Differential global gene expression profiles identified indicate that the biology of the bovine oviductal tissue is modulated by the periovulatory endocrine milieu. The LF-LCL group transcriptome may potentially reveal molecules associated with higher fertility.
Project description:Purpose: evaluate if different proestrus-estrus concentrations of estradiol (E2) and metestrus progesterone (P4) concentrations specifically regulate oviductal gene expression. Methods: ampulla and isthmus samples of animals whit a large pre-ovulatory follicle and a large CL (LF/LCL) and animals whit a small pre-ovulatory follicle and a small CL (SF/SCL) were collected after slaughter at day four of the estrous cycle. Total RNA was extracted and RNA sequencing was performed using the Illumina HiScanSeq (ampulla samples) and the Illumina HiSeq 2500 (isthmus samples) platforms. Results: After using HTSeq-count, approximately ~60% of the total reads uniquely mapped to the UMD 3.1 reference genome. In the ampulla samples, a total of 692 genes showed differential expression, of which 325 and 367 were up-regulated in the LF-LCL and SF-SCL samples, respectively. In the isthmus samples, a total of 590 genes showed differential expression, of which 274 and 316 were up-regulated in the isthmus of LF/LCL and SF/SCL samples, respectively. Conclusions: Our study represents the first detailed analysis of oviduct transcriptomes, generated by RNA-seq technology. Differential global gene expression profiles identified indicate that the biology of the bovine oviductal tissue is modulated by the periovulatory endocrine milieu. The LF-LCL group transcriptome may potentially reveal molecules associated with higher fertility. Oviductal mRNA profiles of cows whit different endocrine milleus were generated by next generation sequencing.
Project description:Purpose: evaluate if different proestrus-estrus concentrations of estradiol (E2) and metestrus progesterone (P4) concentrations specifically regulate oviductal gene expression. Methods: ampulla and isthmus samples of animals with a large pre-ovulatory follicle and a large CL (LF/LCL) and animals with a small pre-ovulatory follicle and a small CL (SF/SCL) were collected after slaughter at day four of the estrous cycle. Total RNA was extracted and RNA sequencing was performed using the Illumina HiScanSeq (ampulla samples) and the Illumina HiSeq 2500 (isthmus samples) platforms. Results: After using HTSeq-count, approximately ~60% of the total reads uniquely mapped to the UMD 3.1 reference genome. In the ampulla samples, a total of 692 genes showed differential expression, of which 325 and 367 were up-regulated in the LF-LCL and SF-SCL samples, respectively. In the isthmus samples, a total of 590 genes showed differential expression, of which 274 and 316 were up-regulated in the isthmus of LF/LCL and SF/SCL samples, respectively. Conclusions: Our study represents the first detailed analysis of oviduct transcriptomes, generated by RNA-seq technology. Differential global gene expression profiles identified indicate that the biology of the bovine oviductal tissue is modulated by the periovulatory endocrine milieu. The LF-LCL group transcriptome may potentially reveal molecules associated with higher fertility. Oviductal mRNA profiles of cows with different endocrine milleus were generated by next generation sequencing.
Project description:Purpose: characterize the uterine transcriptome profiles of pregnant (P) versus non-pregnant (NP) cows during early pregnancy and attempted to define a potential set of marker genes that can be valuable for predicting pregnancy outcome. Methods: beef cows were synchronized and artificially inseminated at detected estrus. Six days after AI, jugular blood samples and a biopsy from the uterine horn contralateral to the ovary containing the corpus luteum were collected. Based on pregnancy outcome on day 30, samples were retrospectively allocated to the following groups: Pregnant and Non-Pregnant. Both groups had similar plasma progesterone concentrations on D6. Uterine biopsies were submitted to RNA-Seq analysis in a Illumina HiScanSQ platform. Results: The 272,685,768 million filtered reads were mapped to the Bos taurus reference genome and 14,654 genes were analyzed for differential expression between groups. Transcriptome data showed that 216 genes are differently expressed when comparing NP versus P uterine tissue (Padj≤0.1). More specifically, 36 genes were up-regulated in P cows and 180 are up-regulated in NP cows. Conclusions: this study characterized a unique set of genes, expressed in the uterus on 6 days after insemination, that indicate a receptive state leading to pregnancy success. Furthermore, expression of such genes can be used as potential markers to efficiently predict pregnancy success.
Project description:Purpose: characterize the uterine transcriptome profiles of pregnant (P) versus non-pregnant (NP) cows during early pregnancy and attempted to define a potential set of marker genes that can be valuable for predicting pregnancy outcome. Methods: beef cows were synchronized and artificially inseminated at detected estrus. Six days after AI, jugular blood samples and a biopsy from the uterine horn contralateral to the ovary containing the corpus luteum were collected. Based on pregnancy outcome on day 30, samples were retrospectively allocated to the following groups: Pregnant and Non-Pregnant. Both groups had similar plasma progesterone concentrations on D6. Uterine biopsies were submitted to RNA-Seq analysis in a Illumina HiScanSQ platform. Results: The 272,685,768 million filtered reads were mapped to the Bos taurus reference genome and 14,654 genes were analyzed for differential expression between groups. Transcriptome data showed that 216 genes are differently expressed when comparing NP versus P uterine tissue (Padj≤0.1). More specifically, 36 genes were up-regulated in P cows and 180 are up-regulated in NP cows. Conclusions: this study characterized a unique set of genes, expressed in the uterus on 6 days after insemination, that indicate a receptive state leading to pregnancy success. Furthermore, expression of such genes can be used as potential markers to efficiently predict pregnancy success. endometrial mRNA profiles of pregnant and non-pregnant cows were generated by deep sequencing using Illumina HiScanSQ platform BioProject PRJNA268916 SRA Study SRP05036