Transcriptome related to pubertal development in Brahman heifers
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ABSTRACT:
ORGANISM(S): Bos indicus
PROVIDER: GSE111339 | GEO | 2018/03/03
REPOSITORIES: GEO
Similar Datasets
Project description:Transcriptome related to pubertal development in Brahman heifers
| PRJNA436715 | ENA
Project description:Puberty is a complex physiological event measured by various indicator traits in genetic improvement programs of beef cattle; thus, developing a more complete understanding of the genes and regulatory pathways and networks involved in puberty will provide knowledge to help improve genetic selection strategies. Herein, we characterized the transcriptome of five reproductive tissues (i.e. hypothalamus, pituitary gland, ovary, uterus, and endometrium) as well as tissues known to be relevant to growth and metabolism needed for cattle to achieve puberty (i.e., longissimus dorsi muscle, fat, and liver). These tissues were collected from pre (PRE)- and post (POST)-pubertal Brangus (3/8 Brahman; Bos indicus x 5/8 Angus; Bos taurus) heifers derived from a population of cattle used to identify QTL associated with fertility traits. In order to exploit the power of complementary omics analyses, PRE and POST puberty co-expression gene networks were constructed by combining the results from RNA-Seq, GWAS, and bovine transcription factors. RNA-Seq of 8 tissues among PRE and POST Brangus heifers revealed 1515 differentiallyexpressed and 943 tissue-specific genes within the 17,832 genes confirmed by metrics of RNA-Seq analysis. Combining the results from RNA-Seq and GWAS indentified a total of 25 QTL associated to heifer fertility. The hypothalamus experienced the most notable up-regulation of genes via puberty. Complementary omics procedures revealed 2,450 co-expressed genes across the 8 tissues relative to puberty. The PRE network had 372,861 connections whereas the POST network had 328,357 connections. A sub-network from this process revealed key transcriptional regulators (i.e., PITX2, FOXA1, TSG1D1, DACH2, LHX4, PROP1 and SIX6). Results from multiples sources of omics data will facilitate the design of breeding strategies to improve fertility in Bos indicus-influenced composite cattle. Sixty-one samples from PRE and POST pubertal composite beef heifers were analyzed with RNA-Seq. The transcriptome of five reproductive tissues (i.e. hypothalamus, pituitary gland, ovary, uterus, and endometrium) as well as tissues known to be relevant to metabolism andbody morphometrics needed for cattle to achieve puberty (i.e.,) was characterized. These tissues were collected from pre (PRE)- and post (POST)-pubertal Brangus (3/8 Brahman x 5/8 Angus) heifers derived from a population of cattle used to identify QTL associated with fertility. Total RNA was purified using a Trizol protocol (Invitrogen, Carlsbad, CA). Sequencing libraries were made using TruSeq RNA Sample Preparation kit of Illumina (San Diego, CA).
2014-02-28 | E-GEOD-55435 | biostudies-arrayexpress
Project description:DNA methylation was assessed in genomic DNA obtained from the arcuate nucleus of heifers fed to gain body weight at high (HG, n = 4) and low (LG, n = 4) rates from 4.5 to 8.5 mo of age. A methyl-CpG binding domain-based (MBD) protein assay was performed to capture fragments of methylated DNA (methylated-enriched DNA). Input (total) and methylated-enriched DNA were labeled with two different dyes and co-hybridized to a custom-designed oligonucleotide array targeted to genes associated with nutritional inputs and the control of puberty. The ratio of the log2 (enriched/input) of the normalized intensities, were determined. Data was analyzed comparing values of HG versus LG heifers. Two nutritional schedules: HG (n=4 heifers) and LG (n=4 heifers); one array per heifer; methylated enriched DNA (enriched) and total DNA (input) co-hybridyzed into each array Methylated-enriched DNA obtained from a methyl-CpG binding domain-based (MBD) protein assay
2016-02-11 | E-GEOD-77782 | biostudies-arrayexpress
Project description:DNA methylation was assessed in genomic DNA obtained from the arcuate nucleus of heifers fed to gain body weight at high (HG, n = 4) and low (LG, n = 4) rates from 4.5 to 8.5 mo of age. A methyl-CpG binding domain-based (MBD) protein assay was performed to capture fragments of methylated DNA (methylated-enriched DNA). Input (total) and methylated-enriched DNA were labeled with two different dyes and co-hybridized to a custom-designed oligonucleotide array targeted to genes associated with nutritional inputs and the control of puberty. The ratio of the log2 (enriched/input) of the normalized intensities, were determined. Data was analyzed comparing values of HG versus LG heifers.
2016-02-11 | GSE77782 | 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:The objective of the current study is to identify differentially abundant proteins between pre- and post-pubertal Brahman heifers using LC-ESI-MS/MS.
2022-08-11 | PXD009619 | Pride
Project description:The objective of the current study is to identifiy abundant proteins in the hypothalamus between pre- and post-pubertal Brahman heifers using LC-ESI-MS/MS
2022-08-11 | PXD009620 | Pride
Project description:The aim of this study was to look for differentially abundant proteins and their biological functions in adipose tissue between pre- and post-pubertal Brahman heifers.
2018-05-25 | PXD009452 | Pride
Project description:Bovine genital campylobacteriosis (BGC) is a globally important venereal disease of cattle caused by Campylobacter fetus subspecies (C. fetus) venerealis. Diagnosis of BGC is highly challenging due to the lack of accurate diagnostic tests. To characterise the immune biomarkers for C. fetus venerealis infection, a total of twelve six cycling heifers were selected and categorised as vaccinated (n=6) with Vibrovax® (Zoetis™) and unvaccinated (n=6). All heifers were oestrous synchronised with a double dose of prostaglandin (PGF2) 11 days apart and when in oestrous intravaginally challenged with 2.7x109 CFU live C. fetus venerealis. Relative abundances of serum proteins were calculated using sequential window acquisition of all theoretical fragment ion spectra coupled to tandem mass spectrometry (SWATH-MS) for all heifers at three timepoints: pre-challenge, post-challenge and post-recovery.
2024-10-17 | PXD052863 | Pride
Project description:Puberty is a complex physiological event measured by various indicator traits in genetic improvement programs of beef cattle; thus, developing a more complete understanding of the genes and regulatory pathways and networks involved in puberty will provide knowledge to help improve genetic selection strategies. Herein, we characterized the transcriptome of five reproductive tissues (i.e. hypothalamus, pituitary gland, ovary, uterus, and endometrium) as well as tissues known to be relevant to growth and metabolism needed for cattle to achieve puberty (i.e., longissimus dorsi muscle, fat, and liver). These tissues were collected from pre (PRE)- and post (POST)-pubertal Brangus (3/8 Brahman; Bos indicus x 5/8 Angus; Bos taurus) heifers derived from a population of cattle used to identify QTL associated with fertility traits. In order to exploit the power of complementary omics analyses, PRE and POST puberty co-expression gene networks were constructed by combining the results from RNA-Seq, GWAS, and bovine transcription factors. RNA-Seq of 8 tissues among PRE and POST Brangus heifers revealed 1515 differentiallyexpressed and 943 tissue-specific genes within the 17,832 genes confirmed by metrics of RNA-Seq analysis. Combining the results from RNA-Seq and GWAS indentified a total of 25 QTL associated to heifer fertility. The hypothalamus experienced the most notable up-regulation of genes via puberty. Complementary omics procedures revealed 2,450 co-expressed genes across the 8 tissues relative to puberty. The PRE network had 372,861 connections whereas the POST network had 328,357 connections. A sub-network from this process revealed key transcriptional regulators (i.e., PITX2, FOXA1, TSG1D1, DACH2, LHX4, PROP1 and SIX6). Results from multiples sources of omics data will facilitate the design of breeding strategies to improve fertility in Bos indicus-influenced composite cattle.
2014-02-28 | GSE55435 | GEO