首页/数据集/Granulosa cell gene expression profiling of bovine cohort, dominant and subordinate follicles

Granulosa cell gene expression profiling of bovine cohort, dominant and subordinate follicles

ChEBI2005-04-30 更新2026-07-21 收录

动物生殖生物学

卵泡颗粒细胞

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-2598 数据链接链接失效反馈

官方服务：

资源简介：

Granulosa cell gene expression profiling of bovine cohort, dominant and subordinate follicles

应用场景：

创建时间：

2005-04-30

相关数据集

Hurley et al LTF hybrid PVL sperm

动物生殖生物学

物种形成

Speciation research has largely overlooked reproductive barriers acting between copulation and the formation of the zygote (i.e. post-mating, pre-zygotic [PMPZ] barriers), especially in internally fer

DataONE2018-09-10 更新120

Dasypus novemcinctus (nine-banded armadillo) transcriptome, mDasNov1

动物生殖生物学

动物基因组学

The nine-banded armadillo (Dasypus novemcinctus) is found in many kinds of habitats, from mature and secondary rainforests to grassland and dry scrub.Their reproduction has some differences relative t

NIAID Data Ecosystem40

YTHDF2 mediates the action of BDNF stimulating proliferation of porcine follicle granulosa cells

卵泡颗粒细胞

生殖分子生物学

Total RNA of porcine follicle granulosa cells from different groups was extracted and RNA purity and quality control were performed. the control group, transfection negative control; the siYTHDF2 grou

NIAID Data Ecosystem20

Effects of intrauterine exosomes in bovine endometrial epithelial cells. Bos taurus

动物生殖生物学

外泌体功能

To identify effects of intrauterine exosomes isolated from pregnant days 17, 20 or 22, or cyclic day17 on gene expression in bovine endometrial epithelial cells.

NIAID Data Ecosystem40

DataSheet2_Coprophagy Prevention Decreases the Reproductive Performance and Granulosa Cell Apoptosis via Regulation of CTSB Gene in Rabbits.ZIP

动物生殖生物学

分子机制

Coprophagy is an instinctive behavior in rabbit with important effects on growth and reproductive performance. The underlying mechanism of this effect in rabbit is unknown. Here, we used Elizabeth cir

NIAID Data Ecosystem30