关于前列腺组织和表达的前列腺分泌物微生物组特征的数据集

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES
Olayemi O. Akinnola , Abosede E. Samuel , Conrad A. Omonhinmin
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引用次数: 0

摘要

前列腺癌(PCa)是男性中第二常见的癌症,尤其影响非洲黑人后裔。尼日利亚目前是世界上前列腺癌死亡率第四高的国家。前列腺微生物组已成为了解前列腺癌(PCa)、良性前列腺增生(BPH)、良性间质增生(BSH)和前列腺炎(PRO)等前列腺疾病的病因和进展的关键因素。本研究比较了30名被诊断为前列腺癌、BPH、BSH和PRO的研究对象的前列腺组织中存在的微生物组和表达的前列腺分泌物(EPS),这些研究对象来自拉各斯州立大学Ikeja教学医院泌尿外科诊所。基于16S rRNA宏基因组核苷酸数据分析细菌物种群落组成和多样性,确保微生物学和基因组学研究的准确性、可重复性和更广泛的适用性。数据信息允许在物种或菌株水平上精确识别生物体,对于验证实验结果和将分离生物体的基因组与相关菌株进行比较至关重要,从而提供对样本群体微生物组的遗传多样性,毒力因素和代谢途径的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dataset on characterisation of microbiome of prostate tissue and expressed prostatic secretions
Prostate cancer (PCa) is the second most prevalent cancer in men, particularly affecting those of Black African descent. Nigeria currently has the fourth highest risk for PCa mortality in the world. The microbiome of the prostate has emerged as a critical factor in understanding the aetiology and progression of prostate diseases, such as prostate cancer (PCa), benign prostatic hyperplasia (BPH) , benign stromal hyperplasia (BSH) and prostatitis (PRO). This study to comparatively characterise the microbiome present in prostate tissue and expressed prostatic secretion (EPS) from 30 study subjects diagnosed with PCa, BPH, BSH and PRO and sampled from the urology clinic of Lagos State University Teaching Hospital Ikeja. Bacterial species community composition and diversity were analysed based on 16S rRNA metagenome nucleotide data to ensure the accuracy, reproducibility, and broader applicability of microbiological and genomic research. Data information allows for precise identification of organisms at the species or strain level, essential for verifying experimental results and comparisons of the isolated organism's genome with related strains, providing insights into genetic diversity, virulence factors, and metabolic pathways of the sample population microbiome.
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来源期刊
Data in Brief
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.
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