five

Proteomics and metabolomics analysis of TC0668

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1022762
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Based on this, the non-targeted metabolomics detection technique of ultra-high-pressure liquid chromatography-electrospray ionization-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) combined with the data-dependent collection was used for full-spectrum analyzing the endogenous metabolites of HeLa cells infected by two strains of C.muridarum, to find the potential biomarkers of genital tract diseases caused by TC0668-involved C.muridarum infection, explain the related metabolic pathways and explore its mechanism(s). A total of 38 differential metabolites were identified by UHPLC-Q-TOF-MS and statistically analyzed. The differential metabolites affected 40 metabolic pathways, of which 5 or more differential metabolites were involved in 10 metabolic pathways at the same time. The results suggest that the differential metabolites and related metabolic pathways, which screened in HeLa cells infected with two tc0668 single gene differential strains in our study may be involved in C.muridarum-induced upper genital tract pathology.

基于此,本研究采用超高压液相色谱-电喷雾电离-四极杆飞行时间质谱(UHPLC-Q-TOF-MS)结合数据依赖性采集的非靶向代谢组学检测技术,对感染两株鼠衣原体(C.muridarum)的HeLa细胞内源性代谢物进行全谱分析,以期筛选出由携带TC0668的鼠衣原体感染所致生殖道疾病的潜在生物标志物,阐释相关代谢通路并探究其致病机制。经UHPLC-Q-TOF-MS鉴定并经统计学分析,本研究共筛选得到38种差异代谢物。上述差异代谢物共涉及40条代谢通路,其中10条通路同时有5种及以上差异代谢物参与。本研究结果显示,在感染两株tc0668单基因差异株的HeLa细胞中筛选得到的差异代谢物及相关代谢通路,可能参与了鼠衣原体诱导的上生殖道病理损伤过程。
创建时间:
2023-09-30
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