Two Finnsheep ovaries
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB34418 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR3522228_1.fastq.gz | Fastqsanger.gz | |||
| ERR3522228_2.fastq.gz | Fastqsanger.gz | |||
| ERR3522229_1.fastq.gz | Fastqsanger.gz | |||
| ERR3522229_2.fastq.gz | Fastqsanger.gz |
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Project description:We found that in Chronic Resistant Stress (CRS)-treated mice, the fertility and oocyte quality significantly decreased, and plenty of biochemical indexes significantly changed, so we guessed that the overall physical health of CRS mice was severely impacted. As one major strategy to investigate the mechanism how CRS impact the physical health, We chose label-free quantitative ovarian crotonylproteomics service from Hangzhou PTM Bio Co. We sent two repeats of two-month-old CRS CD1/ICR mouse ovaries and two repeats of control ovaries for characterization of differentially crotonylated proteins. Each repeat contained about 60 ovaries from 30 female mice, about 300 mg. Gross protein levels were also examined and used to normalize the protein crotonylation level.
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Project description:LC-MS data of newborn mose ovaries. Two groups: Eif2s2 folxed group and Eif2s2 cKO group. The mice in Eif2s2 cKO group were generated using Stra8-Cre. Ovaries were collected at 1 dpp.
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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.
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