Rewiring of gene expression in PWBC at artificial insemination is predictive of pregnancy outcome in cattle (Bos taurus)
Ontology highlight
ABSTRACT:
ORGANISM(S): Bos taurus
PROVIDER: GSE146041 | GEO | 2020/02/28
REPOSITORIES: GEO
Similar Datasets
Project description:The objective of this research was to identify a set of genes whose transcript abundance is predictive of a cow’s ability to become pregnant following artificial insemination (AI). Endometrial epithelial cells from the uterine body were collected for RNA sequencing using the cytobrush method from 193 first-service Holstein cows at estrus prior to AI (day 0). A group of 253 first-service cows not used for cytobrush collection were controls. There was no effect of cytobrush collection on pregnancy outcomes at day 30 or 70, or on pregnancy loss between day 30 and 70. There were 2 upregulated and 214 downregulated genes (FDR < 0.05, absolute fold change > 2-fold) for cows pregnant at day 30 versus those that were not pregnant. Functional terms overrepresented in the downregulated genes included those related to immune and inflammatory responses. Machine learning for fertility biomarkers with the R package BORUTA resulted in identification of 57 biomarkers that predicted pregnancy outcome at day 30 with an average accuracy of 77%. Thus, machine learning can identify predictive biomarkers of pregnancy in endometrium with high accuracy. Moreover, sampling of endometrial epithelium using the cytobrush can help understand functional characteristics of the endometrium at AI without compromising cow fertility.
2024-04-10 | GSE248266 | GEO
Project description:The objectives of this study were to examine the effect of (i) dietary supplementation with n-3 PUFA and (ii) post-insemination plane of nutrition on the global transcriptome of uterine endometrial tissue, with particular focus on key genes and pathways that may affect pregnancy outcome. A total of 60 estrous-synchronised continental crossbred heifers were offered a concentrate-based diet supplemented (n-3 PUFA; n=32) or not (Control; n=28) with an n-3 PUFA-enriched product for 30 days prior to insemination. Following insemination, animals were allocated, within treatment, to one of two post insemination diets, either remaining on their existing high plane of nutrition (Control + High (n = 14); n-3 PUFA + High (n = 15)), or fed a low plane of nutrition diet (Control + Low (n = 14); n-3 PUFA + Low (n = 17)). Uterine endometrial tissue was collected, RNA isolated and gene expression analysis conducted using RNAseq. Comparison of transcript abundance across groups, highlighted a significant effect of diet on the endometrial transcriptome. The mTOR signalling pathway as well as pathways involved in early pregnancy/fertility was significantly enriched as a consequence of diet.
2020-12-07 | GSE141937 | GEO
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
2015-04-09 | E-GEOD-65117 | biostudies-arrayexpress
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.
2015-04-09 | GSE65117 | GEO
Project description:Background: Infertility is a longstanding limitation in livestock production with important economic impact for the cattle industry. Female reproductive traits are polygenic and lowly heritable in nature, thus selection for fertility is challenging. Beef cattle operations leverage estrous synchronization in combination with artificial insemination (AI) to breed heifers and benefit from an early and uniform calving season. A couple of weeks following AI, heifers are exposed to bulls for an opportunity to become pregnant by natural breeding (NB), but they may also not become pregnant during this time period. Focusing on beef heifers, in their first breeding season, we hypothesized that: a- at the time of AI, the transcriptome of peripheral white blood cells (PWBC) differs between heifers that become pregnant to AI and heifers that become pregnant late in the breeding season by NB or do not become pregnant during the breeding season; and b- the ratio of transcript abundance between genes in PWBC classifies heifers according to pregnancy by AI, NB, or failure to become pregnant. Results: We generated RNA-sequencing data from 23 heifers from two locations (A: six AI-pregnant and five NB-pregnant; and B: six AI-pregnant and six non-pregnant). After filtering out lowly expressed genes, we quantified transcript abundance for 12,538 genes. The comparison of gene expression levels between AI-pregnant and NB-pregnant heifers yielded 18 differentially expressed genes (DEGs) (ADAM20, ALDH5A1, ANG, BOLA-DQB, DMBT1, FCER1A, GSTM3, KIR3DL1, LOC107131247, LOC618633, LYZ, MNS1, P2RY12, PPP1R1B, SIGLEC14, TPPP, TTLL1, UGT8, eFDR≤0.02). The comparison of gene expression levels between AI-pregnant and non-pregnant heifers yielded six DEGs (ALAS2, CNKSR3, LOC522763, SAXO2, TAC3, TFF2, eFDR≤0.05). We calculated the ratio of expression levels between all gene pairs and assessed their potential to classify samples according to experimental groups. Considering all samples, relative expression from two gene pairs correctly classified 10 out of 12 AI-pregnant heifers (P=0.0028) separately from the other 11 heifers (NB-pregnant, or non-pregnant). Conclusion: The transcriptome profile in PWBC, at the time of AI, is associated with the fertility potential of beef heifers. Transcript levels of specific genes may be further explored as potential classifiers, and thus selection tools, of heifer fertility.
2018-01-13 | GSE103628 | GEO
Project description:Low fertility remains a leading cause of poor productivity in dairy cattle. In this context, there is significant interest in developing novel tools for accurate early diagnosis of pregnancy. MicroRNAs (miRNAs) are short RNA molecules which are critically involved in regulating gene expression during both health and disease. MiRNAs have been shown to regulate ovarian function, uterine receptivity, embryonic development and placental function. Circulating miRNAs can provide useful biomarkers of tissue function and disease; importantly, differential miRNA profiles have been linked to pregnancy and preeclampsia in humans. This study sought to establish the potential of circulating miRNAs as biomarkers of early pregnancy in cattle. We applied Illumina small-RNA sequencing to profile miRNAs in plasma samples collected from eight non-pregnant heifers on Days 0, 8 and 16 of the oestrous cycle and 11 heifers on Days 16 and 24 of pregnancy. We sequenced a total of 46 samples and generated 9.2 million miRNA reads per sample. There were no differences in miRNA read abundance between any of the pregnant and non-pregnant time-points (FDRâ>â0.1). As a complementary approach, we analysed sample pools (3-4 samples/pool) corresponding to Days 0, 8 and 16 of the oestrous cycle and Day 24 of pregnancy (nâ=â3 pools/group) using Qiagen PCR arrays. A total of 16 miRNAs were differentially expressed (FDRâ<â0.1) in plasma between pregnant and non-pregnant animals. RT-qPCR validation using the same plasma samples confirmed that miR-26a was differentially upregulated on Day 16 pregnant relative to non-pregnant heifers (1.7-fold; Pâ=â0.043), whereas miR-1249 tended to be upregulated in Day 16 pregnant heifers (1.6-fold; Pâ=â0.081). Further validation in an independent group of heifers confirmed an increase in plasma miR-26a levels during early pregnancy, which was significant only on Day 24 (2.0-fold; Pâ=â0.027). Through genome-wide analyses we have successfully profiled plasma miRNA populations associated with early pregnancy in cattle. We have identified miR-26a as a potential circulating biomarker of early pregnancy. Sequencing of three sequencial samples from each of eight cycling animals (Days 0, 8 and 16, total 24 samples) and two samples from each of 11 pregnant animals (Days 16 and 24, total 22 samples). Main comparisons were between non-pregnant and pregnant groups
2016-08-03 | E-GEOD-85090 | biostudies-arrayexpress
Project description:Poor reproductive performance remains a major issue in the dairy industry, with extremely low calving rates (34 %) affecting milk production, profitability and the economy in general. Early pregnancy detection can help identify non-pregnant animals within three weeks of insemination, minimizing delays and shortening calving intervals. However current pregnancy detection methods are not accurate enough to support such reproductive management programs. MiRNAs have been proposed as non-invasive biomarkers of pregnancy and several reproductive diseases in humans. We previously identified miR-26a as a potential early pregnancy biomarker in cattle. In the current study, using miRNA sequencing, we identified and validated differentially expressed miRNAs on Day 60 of pregnancy compared to Day 0 (non-pregnant), and we investigated the expression of these validated miRNAs in early pregnancy aiming to identify additional early pregnancy biomarker candidates. The expression levels of selected miRNAs which are differentially expressed during pregnancy will also be investigated as part of this study.
2017-03-21 | GSE83509 | GEO
Project description:Infertility and subfertility represent major problems in domestic animals and humans, and the majority of embryonic loss occurs during the first month of gestation that involves pregnancy recognition and conceptus implantation. The critical genes and physiological pathways in the endometrium that mediate pregnancy establishment and success are not well understood. In Study One, 270 predominantly Angus heifers were classified based on fertility using four rounds of serial embryo transfer (ET) to select animals with intrinsic differences in pregnancy loss. In each round, a single in vitro-produced high-quality embryo was transferred into heifers on day 7 post-estrus and pregnancy was determined on days 28 and 42 by ultrasound and then terminated. Heifers were classified based on pregnancy success as high fertile (HF), subfertile (SF), or infertile (IF). In Study Two, fertility-classified heifers were resynchronized and bred with semen from a single high fertility bull. Blood samples were collected every other day from days 0 to 36 post-mating. Pregnancy rate was determined on day 28 by ultrasound and tended to be higher in HF (70.4%) and SF (46.7%) than IF (0%) heifers. Progesterone concentrations in serum during the first 20 days post-estrus were not different in non-pregnant heifers and also not different in pregnant heifers among fertility groups. In Study Three, a single in vivo-produced embryo was transferred into fertility-classified heifers on day 7 post-estrus. The uteri were flushed on day 14 to recover embryos, and endometrial biopsies were obtained from the ipsilateral uterine horn. Embryo recovery rate and conceptus length and area were not different among the heifer groups. RNA was sequenced from the day 14 endometrial biopsies of pregnant HF, SF and IF heifers (n=5 per group) and analyzed by edgeR robust analysis. There were 26 differentially expressed genes (DEG) in the HF compared to SF endometrium, 12 DEG for SF compared to IF endometrium, and 3 DEG between the HF and IF endometrium. Many of the DEG encoded proteins involved in immune responses and are expressed in B cells. Results indicate that pre-implantation conceptus survival and growth to day 14 is not compromised in SF and IF heifers. Thus, the observed difference in capacity for pregnancy success in these fertility-classified heifers is manifest between days 14 and 28 when pregnancy recognition signaling and conceptus implantation must occur for the establishment of pregnancy. Endometrial biopsies were subjected to RNA sequencing from high fertile (HF; n=5), subfertile (SF; n=5) and infertile (IF; n=5) classified heifers on day 14 of pregnancy.
2016-05-15 | E-GEOD-81449 | biostudies-arrayexpress
Project description:Pregnancy results in significant physiological changes which can impact the health and development of the fetus and mother. Pregnancy-induced changes in plasma lipoproteins are well-documented with modest to no impact observed on the generic measure of high-density lipoprotein (HDL) cholesterol. However, no studies have taken a deeper look at the impact of pregnancy on the concentration and composition of HDL subspecies. In this prospective study, we collected plasma from 24 non-pregnant and 19 pregnant women in their second trimester. Using nuclear magnetic resonance (NMR) we quantified 11 different lipoprotein size subspecies from plasma including 3 in the HDL class. We observed a profound increase in the number of larger HDL particles in pregnant women. These findings were confirmed by tracking phospholipid across lipoproteins using high-resolution gel-filtration chromatography. Using liquid chromatography-mass spectrometry (LC-MS) we identified 87 lipid-associated proteins across size speciated fractions. We report drastic shifts in multiple protein clusters across different HDL sized fractions in pregnant females compared to their non-pregnant controls. In summary, we have shown that pregnancy results in major alterations in HDL subspecies concentrations and compositions that would have otherwise been missed using traditional lipid measurements. These findings significantly elevate our understanding of how changes in lipoprotein metabolism due to pregnancy could impact the health of both the fetus and the mother.
2022-02-17 | PXD026543 | Pride
Project description:Pregnancy results in significant physiological changes which can impact the health and development of the fetus and mother. Pregnancy-induced changes in plasma lipoproteins are well-documented with modest to no impact observed on the generic measure of high-density lipoprotein (HDL) cholesterol. However, no studies have taken a deeper look at the impact of pregnancy on the concentration and composition of HDL subspecies. In this prospective study, we collected plasma from 24 non-pregnant and 19 pregnant women in their second trimester. Using nuclear magnetic resonance (NMR) we quantified 11 different lipoprotein size subspecies from plasma including 3 in the HDL class. We observed a profound increase in the number of larger HDL particles in pregnant women. These findings were confirmed by tracking phospholipid across lipoproteins using high-resolution gel-filtration chromatography. Using liquid chromatography-mass spectrometry (LC-MS) we identified 87 lipid-associated proteins across size speciated fractions. We report drastic shifts in multiple protein clusters across different HDL sized fractions in pregnant females compared to their non-pregnant controls. In summary, we have shown that pregnancy results in major alterations in HDL subspecies concentrations and compositions that would have otherwise been missed using traditional lipid measurements. These findings significantly elevate our understanding of how changes in lipoprotein metabolism due to pregnancy could impact the health of both the fetus and the mother.
2022-02-17 | PXD026683 | Pride