幼年雌性大鼠产前聚ⅰ：C暴露后粪便微生物群的16S rRNA测序数据

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-05-01 DOI:10.1016/j.dib.2025.111588

Lirong Yang , Huiyu Chen , Menglu Zeng , Yanfang Lu , Chen Xu , Zhenju Cao , Fuchun Zhong , Xinyu Yang , Anying Shen , Fei Xue , Wei Lin , Hua Cao , Chao Deng , Yueqing Su

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引用次数: 0

摘要

随着对“肠-脑轴”的深入了解，神经发育障碍（ndd）与肠道微生物群之间的关系在科学研究中得到了广泛关注。孕妇的母体免疫激活（MIA）是子代ndd发生的重要环境危险因素。polyriboinosic -polyribocytidylic acid （Poly I:C）是一类用于诱导啮齿动物MIA的双链RNA合成类似物，在科学研究中有着广泛的应用。该数据集展示了幼年雌性大鼠在产前暴露Poly I:C后粪便微生物群的16S rRNA测序数据。这将有助于阐明产前Poly I:C暴露对幼年雌性后代大鼠肠道微生物群特征的影响，揭示肠道微生物群在母体免疫激活相关病理生理变化中的作用，并为微生物-肠-脑轴在神经发育障碍中的作用机制提供新的见解。

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16S rRNA sequencing data of fecal microbiota from juvenile female rats following prenatal poly I:C exposure

With the expanding insights into the “gut-brain axis,” the association between neurodevelopmental disorders (NDDs) and gut microbiota has gained extensive attention in scientific research. Maternal immune activation (MIA) in pregnant females is a crucial environmental risk factor for NDDs in offspring. Polyriboinosinic-polyribocytidylic acid (Poly I:C) belongs to a class of synthetic analogs of double-stranded RNA used to induce MIA in rodents and is widely used in scientific research. The dataset presents 16S rRNA sequencing data of fecal microbiota from juvenile female rats following prenatal Poly I:C exposure. It will help to clarify the impact of prenatal Poly I:C exposure on the intestinal microbiota characteristics of juvenile female offspring rats, reveal the role of the intestinal microbiota in the pathophysiological changes related to maternal immune activation and provide new insights into the mechanism of the microbiota-gut-brain axis in neurodevelopmental disorders.

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.