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多数据集的综合分析揭示了人类颗粒细胞中的新型基因特征。

An integrated analysis of multiple datasets reveals novel gene signatures in human granulosa cells.

机构信息

CINECA, Super Computing Applications and Innovation Department, Via dei Tizii 6B, 000185, Roma, Italy.

Department of Biology, University of Roma, via della Ricerca Scientifica 00133, Roma, Italy.

出版信息

Sci Data. 2024 Sep 6;11(1):972. doi: 10.1038/s41597-024-03715-0.

DOI:10.1038/s41597-024-03715-0
PMID:39242561
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11379948/
Abstract

Granulosa cells (GCs) play crucial roles in oocyte maturation. Through gap junctions and extracellular vesicles, they mediate the exchange of molecules such as microRNAs and messenger RNAs. Different ovarian cell types exhibit unique gene expression profiles, reflecting their specialized functions and stages. By combining RNA-seq data from various cell types forming the follicle, we aimed at capturing a wide range of expression patterns, offering insights into the functional diversity and complexity of the transcriptome regulation across GCs. Herein, we performed an integrated bioinformatics analysis of RNA sequencing datasets present in public databases, with a unique and standardized workflow., By combining the data from different studies, we successfully increased the robustness and reliability of our findings and discovered novel genes, miRNAs, and signaling pathways associated with GCs function and oocyte maturation. Moreover, our results provide a valuable resource for further wet-lab research on GCs biology and their impact on oocyte development and competence.

摘要

颗粒细胞 (GCs) 在卵母细胞成熟中发挥着至关重要的作用。通过间隙连接和细胞外囊泡,它们介导了分子如 microRNAs 和信使 RNAs 的交换。不同的卵巢细胞类型表现出独特的基因表达谱,反映了它们的特殊功能和阶段。通过结合来自形成卵泡的各种细胞类型的 RNA-seq 数据,我们旨在捕获广泛的表达模式,深入了解 GCs 中转录组调控的功能多样性和复杂性。在这里,我们对公共数据库中存在的 RNA 测序数据集进行了综合的生物信息学分析,采用了独特且标准化的工作流程。通过结合来自不同研究的数据,我们成功地提高了研究结果的稳健性和可靠性,并发现了与 GCs 功能和卵母细胞成熟相关的新基因、miRNAs 和信号通路。此外,我们的结果为进一步研究 GCs 生物学及其对卵母细胞发育和潜能的影响提供了有价值的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/9085c300a312/41597_2024_3715_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/38fe8ed0cf50/41597_2024_3715_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/571082848e1b/41597_2024_3715_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/8e4b6ed18a34/41597_2024_3715_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/432660390163/41597_2024_3715_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/9085c300a312/41597_2024_3715_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/38fe8ed0cf50/41597_2024_3715_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/571082848e1b/41597_2024_3715_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/8e4b6ed18a34/41597_2024_3715_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/432660390163/41597_2024_3715_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2139/11379948/9085c300a312/41597_2024_3715_Fig5_HTML.jpg

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