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犬口腔肿瘤的唾液蛋白质组学研究:MALDI-TOF 质谱和 LC-串联质谱法

Salivary proteomics of canine oral tumors using MALDI-TOF mass spectrometry and LC-tandem mass spectrometry.

机构信息

Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.

Companion Animal Cancer Research Unit, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.

出版信息

PLoS One. 2019 Jul 18;14(7):e0219390. doi: 10.1371/journal.pone.0219390. eCollection 2019.

Abstract

Canine oral tumors are relatively common neoplasms in dogs. For disease monitoring and early diagnosis, salivary biomarkers are appropriate because saliva collection is non-invasive and requires no professional skills. In the era of omics, matrix-assisted laser desorption/ionization with time-of-flight mass spectrometry (MALDI-TOF MS) coupled with liquid chromatography-tandem MS (LC-MS/MS) are suitable to identify potential disease-associated peptides and proteins. The present study aimed to use MALDI-TOF MS and LC-MS/MS to search for particular peptide mass fingerprints (PMFs) and conceivable biomarkers in saliva of dogs with early- and late-stage oral melanoma (EOM and LOM, respectively), oral squamous cell carcinoma (OSCC), benign oral tumors (BN), and periodontitis and healthy controls (CP). Pooled saliva samples in each group were used to be representative of population change. Unique PMFs were obtained and specific peptide fragments were sequenced by LC-MS/MS and BLAST-searched with mammalian protein databases. Seven peptide fragments appeared in the tumor groups (EOM, LOM, OSCC and BN) at 1096, 1208, 1322, 1794, 1864, 2354 and 2483 Da, two peptide fragments appeared in the LOM and OSCC groups at 2450 and 3492 Da, and in the CP controls at 2544 and 3026 Da. Also, protein-chemotherapy drug interaction networks were exhibited. Using western blot analysis, the expression of sentrin-specific protease 7 (SENP7), a peptide fragment at 1096 Da, in OSCC was significantly increased, as was the expression of TLR4, a peptide fragment at 3492 Da, in LOM and OSCC, compared with the CP group. The expression of nuclear factor kappa B (NF-κB), a TLR4 partner, was notably increased in OSCC compared with CP, BN and EOM. The expression was also enhanced in LOM compared with EOM. Expressed protein sequences from western blots were verified by LC-MS/MS. Western blots were then performed with individual samples in each group. The results showed the elevated expression of TLR4 in LOM and OSCC, compared with that in CP and BN, the increased expression of NF-κB in LOM and OSCC, compared with CP and in LOM compared with BN, and the enhanced expression of SENP7 in LOM and OSCC, compared with that in CP and BN. In conclusion, discrete clusters of EOM, LOM, OSCC, BN and CP groups and potential protein candidates associated with the diseases were demonstrated by salivary proteomics. Western blot analysis verified SENP7, TLR4 and NF-κB as potential salivary biomarkers of canine oral tumors.

摘要

犬口腔肿瘤是犬类中相对常见的肿瘤。为了进行疾病监测和早期诊断,唾液生物标志物是合适的,因为唾液采集是非侵入性的,不需要专业技能。在组学时代,基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)与液相色谱-串联质谱(LC-MS/MS)相结合,适用于鉴定潜在的与疾病相关的肽和蛋白质。本研究旨在使用 MALDI-TOF MS 和 LC-MS/MS 来寻找早期和晚期口腔黑色素瘤(EOM 和 LOM)、口腔鳞状细胞癌(OSCC)、良性口腔肿瘤(BN)、牙周炎和健康对照组(CP)中特定的肽质量指纹图谱(PMFs)和可想象的生物标志物。每个组别的混合唾液样本用于代表群体变化。通过 LC-MS/MS 获得独特的 PMFs,并对特定的肽片段进行测序,并与哺乳动物蛋白质数据库进行 BLAST 搜索。在肿瘤组(EOM、LOM、OSCC 和 BN)中,有七个肽片段出现在 1096、1208、1322、1794、1864、2354 和 2483 Da 处,两个肽片段出现在 LOM 和 OSCC 组中,分别为 2450 和 3492 Da,而在 CP 对照组中为 2544 和 3026 Da。此外,还展示了蛋白质-化疗药物相互作用网络。通过 Western blot 分析,OSCC 中 1096 Da 肽片段的表达明显增加,而 LOM 和 OSCC 中 3492 Da 肽片段的 TLR4 表达也明显增加,与 CP 组相比。与 CP、BN 和 EOM 相比,OSCC 中 TLR4 伴侣核因子 kappa B(NF-κB)的表达显著增加。与 EOM 相比,LOM 中的表达也增强。Western blot 中还检测到了 LC-MS/MS 验证的表达蛋白序列。然后对每个组别的个体样本进行 Western blot 检测。结果表明,与 CP 和 BN 相比,LOM 和 OSCC 中 TLR4 的表达升高,与 CP 和 BN 相比,LOM 和 OSCC 中 NF-κB 的表达升高,与 CP 和 BN 相比,LOM 和 OSCC 中 SENP7 的表达升高。总之,通过唾液蛋白质组学显示了 EOM、LOM、OSCC、BN 和 CP 组离散簇和与疾病相关的潜在蛋白质候选物。Western blot 分析验证了 SENP7、TLR4 和 NF-κB 作为犬口腔肿瘤潜在的唾液生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0461/6638856/2925f5cdc19f/pone.0219390.g001.jpg

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