Dataset from RNAseq analysis of differential gene expression in germinal vesicle and metaphase I stages of granulosa cells

We present transcriptomic data on human granulosa cells, which are essential parts of reproductive biology. These data consisted of single-cell transcriptomic data from 12 biological samples from two developmental stages (germinal vesicle and metaphase I). We evaluated these data by calculating gene expression profiles at different developmental stages and detected differences in gene expression in granulosa cells at the different developmental stages. We further evaluated the transcriptomic data via genomes from gene banks. Thus, these new data demonstrate the feasibility of obtaining reliable transcriptomic data from individual samples at different developmental stages, and provide a framework for systematic transcriptomic studies of granulosa cell development.

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Publication Details

Journal
Data in Brief
Published
2025-02-18
DOI
https://doi.org/10.1016/j.dib.2025.111409
Citations
1
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.81

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article

Dataset from RNAseq analysis of differential gene expression in germinal vesicle and metaphase I stages of granulosa cells

Weijun Gong, Penghao Li, Jing Li, Yan Zhu et al.
1 citations
Data in Brief
RNA modifications and cancer
0.81
article

Dataset from RNAseq analysis of differential gene expression in germinal vesicle and metaphase I stages of granulosa cells

Weijun Gong, Penghao Li, Jing Li, Yan Zhu, Ping Lei, Xiangqian Meng
article en
1 citations

Abstract

We present transcriptomic data on human granulosa cells, which are essential parts of reproductive biology. These data consisted of single-cell transcriptomic data from 12 biological samples from two developmental stages (germinal vesicle and metaphase I). We evaluated these data by calculating gene expression profiles at different developmental stages and detected differences in gene expression in granulosa cells at the different developmental stages. We further evaluated the transcriptomic data via genomes from gene banks. Thus, these new data demonstrate the feasibility of obtaining reliable transcriptomic data from individual samples at different developmental stages, and provide a framework for systematic transcriptomic studies of granulosa cell development.

Data in BriefVol. 59
Kunming University (CN), Chengdu Women's and Children's Central Hospital (CN), Second People's Hospital of Yunnan Province (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 31%
RNA modifications and cancer
0.81
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Dataset from RNAseq analysis of differential gene expression in germinal vesicle and metaphase I stages of granulosa cells — Weijun Gong, Penghao Li, et al. · Data in Brief (2025) | TGRS Research Map | TGRS