Pan-cancer analysis of DNA epigenetic modifications by hydrophilic interaction liquid chromatography-tandem mass spectrometry

Yiqiu Hu Xiujuan Hong Zhijun Yuan Jiayi Mu Xiaoxiao Zhang Zhihao Fang Ying Yuan Shu Zheng Cheng Guo

Citation:  Yiqiu Hu, Xiujuan Hong, Zhijun Yuan, Jiayi Mu, Xiaoxiao Zhang, Zhihao Fang, Ying Yuan, Shu Zheng, Cheng Guo. Pan-cancer analysis of DNA epigenetic modifications by hydrophilic interaction liquid chromatography-tandem mass spectrometry[J]. Chinese Chemical Letters, 2023, 34(7): 108023. doi: 10.1016/j.cclet.2022.108023 shu

Pan-cancer analysis of DNA epigenetic modifications by hydrophilic interaction liquid chromatography-tandem mass spectrometry

English

  • In the past few decades, DNA methylation has drawn great attention and tremendous efforts have been devoted into this exciting field. DNA cytosine methylation (5-methyl-2′-deoxycytidine, 5-mdC) is a widespread form of methylation in genome of mammals and has been involved in numerous crucial biological processes, such as the maintenance of advanced chromosome structure, genomic imprinting, transposon suppression and X chromosome inactivation [1,2]. And aberrant alteration of 5-mdC level contributes to inappropriate expression of tumor suppressor genes and oncogenes, leading to tumorigenesis [3,4].

    Under the catalysis of ten-eleven translocation (TET) proteins, 5-mdC can be oxidized to 5-hydroxymethyl-2′-deoxycytidine (5-hmdC), 5-formyl-2′-deoxycytidine (5-fodC), and 5-carboxyl-2′-deoxycytidine (5-cadC) [57]. 5-hmdC which is considered as the sixth nucleoside in genome is especially enriched in the gene bodies and enhancers, and plays important roles on cellular differentiation and epigenetic regulation [8,9]. It has been demonstrated that compared with adjacent normal tissues, the level of 5-hmdC in tumor tissue is significantly lower, and the degree of reduction is proportional to tumor stage [1014].

    Apart from DNA cytosine methylation, methylation of DNA at the N6 position of adenine gives rise to N6-methyl-2′-deoxyadenosine (m6dA), which is recently revealed to be an important epigenetic mark in eukaryotes [15]. It was found in the genomes of Chlamydomona reinhardtii [16], Drosophila melanogaster [17], Caenorhabditis elegans [18], Xenopus laevis [19], zebrafish, pigs [20] and mice [21]. In 2018, m6dA is reported to be extensively present in the human genome [22]. Although some controversy exists in the realm about the mammalian origin of m6dA (e.g., the contamination of bacterial DNA), previous studies revealed that m6dA participated in many life activities, such as transposon expression, embryonic development, intergenerational inheritance and tumorigenesis [18,2022]. The level of m6dA was dynamically regulated by methyltransferases and demethylases [22,23], and the aberrant level of m6dA was correlated to human cancers including liver cancer [22], gastric cancer [22], glioblastoma [24], lung cancer [25], esophagus cancer [26] and breast cancer [27]. Recently, we confirmed the presence of m6dA in human urine and revealed that the level of urinary m6dA was diminished in gastric as well as colorectal cancer patients compared with healthy controls [28].

    The abnormal DNA epigenetic modification is a characteristic hallmark of cancer, and deciphering the alteration of the contents of DNA epigenetic modifications will offer valuable information for better understanding of tumorigenesis and the underlying regulatory roles of these epigenetic modifications. From this point of view, analysis of these DNA epigenetic modifications in various types of cancer is desirable.

    Compared with other analytical techniques, liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) has been considered a powerful quantitative analytical platform for analysis of DNA/RNA epigenetic modifications due to its great advantages in selectivity, sensitivity and accuracy [2837]. In our previous work, we found hydrophilic-interaction liquid chromatography (HILIC) coupled with MS/MS method has excellent detection sensitivity for analysis of modified nucleosides in human urine, especially when malic acid was used as a mobile phase additive [28,37]. Herein we systematically performed the evaluation of the alteration of genomic m6dA, 5-mdC, and 5-hmdC in tumor tissues and matched tumor-adjacent normal tissues from various types of cancer patients by malic acid-enhanced HILIC-MS/MS analysis (Fig. 1). Moreover, stable isotope dilution method was used to realize the accurate quantification of these DNA epigenetic modifications.

    Figure 1

    Figure 1.  Schematic diagram to illustrate the analytical procedures for the analysis of m6dA, 5-mdC and 5-hmdC in human tissues. Genomic DNA was isolated from tumor and matched tumor-adjacent normal tissues from various types of cancer patients, followed by enzymatic digestion and malic acid-enhanced HILIC-MS/MS measurement.

    A HILIC-MS/MS method to detect genomic m6dA, 5-mdC and 5-hmdC was first established. The chemical structures of these DNA modifications and their stable isotope-labeled internal standards were illustrated in Fig. 2a. In order to avoid interference from canonical nucleosides on the multiple reaction monitoring (MRM) detection of modified nucleosides, effective separation of m6dA, 5-mdC, 5-hmdC and eight canonical nucleosides (i.e., rA, rC, rG, rU, dA, dC, dG, T) is needed. As shown in Fig. 2b, excellent separation was obtained by using a BEH Amide column (2.1 mm × 100 mm, 1.7 µm) under optimized chromatographic separation conditions. Besides, these eleven nucleosides could be rapidly separated within 8 min, which indicates the analytical method is capable for measurement of a large number of clinical samples. The optimized MRM parameters can be found in Table S1 (Supporting information).

    Figure 2

    Figure 2.  (a) The chemical structures of m6dA, 5-mdC, 5-hmdC and their stable isotope-labeled internal standards. (b) The MRM chromatograms of rA, rC, rG, rU, dA, dC, dG, T, m6dA, 5-mdC and 5-hmdC standards. The concentration of rU was 300 nmol/L. For other nucleosides, the concentration was 100 nmol/L each.

    We next evaluated the feasibility of the developed method. Parameters including linearity, limits of detection (LODs), limits of quantification (LOQs), intra- and inter-day precision and accuracy were evaluated. As shown in Table S2 (Supporting information), the calibration curve of each analyte showed excellent linearity with a coefficient value (R2 > 0.999). The LODs of m6dA, 5-mdC and 5-hmdC were 0.005 nmol/L, 0.01 nmol/L and 0.025 nmol/L, respectively, which were better than those previously reported [38,39]. The intra- and inter-day precision values were within 3.54%. The accuracy of the intra- and inter-day analysis was in the range of 94.79% to 104.84%, indicating that outstanding reproducibility and accuracy were achieved (Table S3 in Supporting information). These results declared that the sensitivity, precision and accuracy of established HILIC-MS/MS method could be guaranteed during measurement.

    The validated HILIC-MS/MS method was then applied to measure genomic m6dA, 5-mdC and 5-hmdC from 82 pairs of tumor tissues and matched tumor-adjacent normal tissues from various types of cancer patients, including esophagus cancer, lung cancer, breast cancer, liver cancer, pancreatic cancer, gastric cancer, stromal tumor and colorectal cancer. The information of subjects was listed in Table S4 (Supporting information). For the measurement of 5-mdC and 5-hmdC, 60 ng of DNA was injected, while 300 ng of DNA was injected for the analysis of m6dA due to its extremely low abundance. The retention times of m6dA, 5-mdC and 5-hmdC were identical to those of their corresponding isotope-labeled internal standards, while these modifications were not detectable in the enzyme control samples, further confirming these detected DNA epigenetic modifications were from DNA samples (Fig. 3).

    Figure 3

    Figure 3.  Identification of m6dA, dA, 5-mdC, 5-hmdC and dG in human tissues. (a) MRM chromatograms of m6dA, dA, 5-mdC, 5-hmdC, dG and their corresponding stable isotope-labeled internal standards in a human tissue sample. (b) MRM chromatograms of m6dA, dA, 5-mdC, 5-hmdC and dG in enzyme blank samples, which only contain enzymes used for digesting DNA.

    We next quantified genomic m6dA, 5-mdC and 5-hmdC in tumor tissues and matched tumor-adjacent normal tissues. The results showed that the contents of m6dA, 5-mdC and 5-hmdC in all tumor tissues ranged from 0.000066% to 0.001% (m6dA/dA), 1.58% to 3.16% (5-mdC/dG), and 0.007% to 0.080% (5-hmdC/dG), respectively. In all paracancerous tissues, the contents of m6dA, 5-mdC and 5-hmdC ranged from 0.000056% to 0.0014% (m6dA/dA), 2.31% to 3.15% (5-mdC/dG), and 0.011% to 0.138% (5-hmdC/dG), respectively (Table S5 in Supporting information).

    The measured levels of these DNA epigenetic modifications were comparable to the previously reported levels in human genomic DNA [22,25,40]. Moreover, in order to exclude the contribution from bacterial DNA which carries abundant m6dA, Dpn I digestion combined with size-exclusion ultrafiltration was performed [25]. As shown in Fig. S1 (Supporting information), the content of m6dA in DNA treated with Dpn I was consistent with that in DNA without treatment of Dpn I, indicating there was no contamination of bacterial DNA in the genomic DNA extracted from tissue samples. It is worth noting that, to the best of our knowledge, this is the first time to achieve quantitative analysis of genomic m6dA in tissues from pancreatic cancer, stromal tumor and colorectal cancer patients.

    Then, we compared the levels of these DNA epigenetic modifications in tumor tissues and matched tumor-adjacent normal tissues. The mean contents of m6dA in genomic DNA from tumor tissues and matched tumor-adjacent normal tissues (n = 82) were 0.00028% and 0.00031% (m6dA/dA), respectively (Table S6 in Supporting information). The results showed that there was no significant difference in levels of m6dA between tumor tissues and matched tumor-adjacent normal tissues (Fig. 4a). This could be attributed to that the level of m6dA was elevated or diminished in different types of cancer. We found the level of m6dA was significantly higher in tumor tissues of esophagus cancer (P < 0.05), lung cancer (P < 0.01) and liver cancer (P < 0.05) than matched tumor-adjacent normal tissues, whereas the level of m6dA was significantly lower in tumor tissues of pancreatic cancer (P < 0.01) and gastric cancer (P < 0.05) than matched tumor-adjacent normal tissues (Fig. 4a). Previous studies also demonstrated the diminished level of m6dA in gastric cancer and elevated level of m6dA in glioblastoma [22,24]. However, there was no significant difference in the level of m6dA between tumor tissues and normal tissues in breast cancer, stromal tumor and colorectal cancer (P > 0.05, Fig. 4a). These results suggest that m6dA may play different roles in the initiation and development of different cancers.

    Figure 4

    Figure 4.  Quantification results of (a) m6dA, (b) 5-mdC, and (c) 5-hmdC in 82 pairs of tumor tissues and matched tumor-adjacent normal tissues. ns, P > 0.05; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

    As for 5-mdC, its mean content in tumor tissues and matched tumor-adjacent normal tissues (n = 82) was 2.65% and 2.77% (5-mdC/dG), respectively (Table S6 in Supporting information), and the content of 5-mdC was lower in tumor tissues than matched tumor-adjacent normal tissues (P < 0.001, Fig. 4b). We found that the level of 5-mdC was obviously lower in tumor tissues of esophagus cancer (P < 0.01), breast cancer (P < 0.05), liver cancer (P < 0.05) and gastric cancer (P < 0.05), compared to matched tumor-adjacent normal tissues; whereas there was no significant difference in level of 5-mdC between tumor tissues and normal tissues in lung cancer, pancreatic cancer, stromal tumor and colorectal cancer (P > 0.05, Fig. 4b).

    The mean content of 5-hmdC in tumor tissues and matched tumor-adjacent normal tissues (n = 82) was 0.030% and 0.056% (5-hmdC/dG), respectively (Table S6 in Supporting information), and the content of 5-hmdC was also significantly lower in tumor tissues than matched tumor-adjacent normal tissues (P < 0.0001, Fig. 4c). We found that the level of 5-hmdC was obviously lower in tumor tissues of esophagus cancer (P < 0.0001), breast cancer (P < 0. 0001), liver cancer (P < 0.0001), pancreatic cancer (P < 0.05) and gastric cancer (P < 0.05), compared to matched tumor-adjacent normal tissues; whereas there was no significant difference in the level of 5-hmdC between tumor tissues and normal tissues in lung cancer, stromal tumor and colorectal cancer (P > 0.05, Fig. 4c). In previous studies, the level of 5-hmdC was found to be dramatically diminished in several types of cancer, such as liver cancer, brain tumor, lung cancer, breast cancer, pancreatic cancer and colorectal cancer [13,4042]. Our results, together with previous studies, revealed that the aberrant levels of DNA epigenetic modifications were tightly associated with cancer.

    We further evaluated the potential of m6dA, 5-mdC and 5-hmdC as biomarkers for the early detection and prognosis of human cancers by performing receiver operating characteristic (ROC) curve analysis. As shown in Fig. S2 (Supporting information), m6dA was highly effective in the detection of lung cancer and pancreatic cancer, with the area under the curve (AUC) being 0.80 and 0.81, respectively. As for 5-mdC, it was an effective indicator of esophagus cancer (AUC = 0.83). The AUCs of 5-hmdC for liver cancer, esophagus cancer and breast cancer were 0.93, 0.92, and 0.98, respectively, indicating that 5-hmdC was a more effective indicator of these three types of cancer.

    Currently, several tumor biomarkers were used in clinical practice for cancer screening. For instance, carcino-embryonic antigen (CEA) was commonly used for detection of multiple cancers. Herein, we also estimated Pearson correlation coefficients to evaluate the correlation between the levels of these DNA epigenetic modifications and the levels of several tumor biomarkers. As shown in Fig. S3 (Supporting information), the level of m6dA was positively correlated with the level of CEA in lung cancer (r = 0.8391, P = 0.0003), whereas negatively correlated with carbohydrate antigen 242 (CA242) in gastric cancer (r = −0.6084, P = 0.0358). The level of 5-mdC was negatively correlated with the level of CEA (r = −0.5888, P = 0.0267) and squamous cell carcinoma associated antigen (SCCA) (r = −0.9066, P < 0.0001) in esophagus cancer. However, there was no significant correlation between the level of 5-hmdC and CEA, CA242 or SCCA.

    DNA cytosine methylation (5-mdC) plays crucial roles in tumor pathogenesis, and hypermethylation of promoter CpG island in tumor-suppressor genes is a general characteristic of cancer. TET proteins could catalyze the oxidation of 5-mdC to form 5-hmdC which is recognized as an intermediate in DNA demethylation. It is common that a lower level of 5-hmdC is present in cancer [3842]. Interestingly, we demonstrated that the global levels of 5-mdC and 5-hmdC were both diminished in tumor tissues of esophagus cancer, breast cancer, liver cancer and gastric cancer.

    As a newly discovered DNA modification in eukaryotes, m6dA has attracted great interest in the past few years. However, the content of genomic m6dA in human tissues was seldom measured previously, which may be ascribed to the extremely low abundance of m6dA. By using the developed sensitive malic acid-enhanced HILIC-MS/MS method, we found that m6dA could be determined with a DNA sample of only 150 ng, and we accurately quantified, for the first time, the content of genomic m6dA in tissues of pancreatic cancer, stromal tumor and colorectal cancer. We demonstrated the higher levels of m6dA in tumor tissues of esophagus cancer, lung cancer and liver cancer, while the lower level of m6dA in tumor tissues of pancreatic cancer and gastric cancer, compared to their matched normal tissues. This also indicates that m6dA plays disparate roles in different types of cancer. Although the underlying mechanisms to elucidate the link between m6dA and tumorigenesis remain unclear, the alteration of m6dA may be attributed to the aberrant expression of upstream enzymes and the contributions of the methyltransferases, demethylases, reader and anti-reader proteins in initiation and development of cancer need to be further investigated.

    In summary, we established a HILIC-MS/MS method for the accurate quantitation of m6dA, 5-mdC and 5-hmdC in genomic DNA. With the developed method, we evaluated the alterations of these DNA epigenetic modifications in 82 pairs of tumor tissues and matched tumor-adjacent tissues from various types of cancer patients. It is worth mentioning that we revealed, for the first time, the content of genomic m6dA in tissue samples from pancreatic cancer, stromal tumor and colorectal cancer patients. Compared with normal tissues, the level of m6dA in tumor tissues was increased or decreased in different types of cancer, indicating the disparate roles of m6dA. As for 5-mdC and 5-hmdC, their contents in tumor tissues were both diminished in most types of cancer studied, compared to normal tissues. Deciphering the alteration of these DNA epigenetic modifications in tumor tissues and normal tissues would provide valuable information for better understanding of carcinogenesis. Future investigation on the underlying mechanisms of the changes of these DNA epigenetic modifications may provide a new strategy for the treatment of cancer by targeting these epigenetic modifications and their regulating enzymes.

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

    This work is financially supported by National Natural Science Foundation of China (No. 22176167), the Key R & D Program of Zhejiang Province (No. 2021C03125) and Natural Science Foundation of Zhejiang Province (No. LY19B050007).

    Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.cclet.2022.108023.


    1. [1]

      Z.D. Smith, A. Meissner, Nat. Rev. Genet. 14 (2013) 204–220.

    2. [2]

      H. Wu, Y. Zhang, Cell 156 (2014) 45–68. doi: 10.1016/j.cell.2013.12.019

    3. [3]

      K.K.D. Robertson, Nat. Rev. Genet. 6 (2005) 597–610. doi: 10.1038/nrg1655

    4. [4]

      W. Timp, A.P. Feinberg, Nat. Rev. Cancer 13 (2013) 497–510. doi: 10.1038/nrc3486

    5. [5]

      Y. Feng, N.B. Xie, W.B. Tao, et al., CCS Chem. 3 (2021) 994–1008. doi: 10.31635/ccschem.020.202000286

    6. [6]

      M. Tahiliani, K.P. Koh, Y. Shen, et al., Science 324 (2009) 930–935. doi: 10.1126/science.1170116

    7. [7]

      X. Wu, Y. Zhang, Nat. Rev. Genet. 18 (2017) 517–534. doi: 10.1038/nrg.2017.33

    8. [8]

      M.R. Branco, G. Ficz, W. Reik, Nat. Rev. Genet. 13 (2012) 7–13. doi: 10.1038/nrg3080

    9. [9]

      L. Scourzic, E. Mouly, O.A. Bernard, Genome Med. 7 (2015) 9. doi: 10.1186/s13073-015-0134-6

    10. [10]

      T. Xu, H. Gao, Hum. Genomics 14 (2020) 15. doi: 10.1186/s40246-020-00265-5

    11. [11]

      S. Liu, J. Wang, Y.J. Su, et al., Nucleic Acids Res. 14 (2013) 6421–6429. doi: 10.1093/nar/gkt360

    12. [12]

      M. Ko, Y. Huang, A.M. Jankowska, et al., Nature 468 (2010) 839–843. doi: 10.1038/nature09586

    13. [13]

      S.G. Jin, S.G. Jiang, R. Qiu, Cancer Res. 71 (2011) 7360–7365. doi: 10.1158/0008-5472.CAN-11-2023

    14. [14]

      T.F.J. Kraus, D. Globisch, M. Wagner, Int. J. Cancer 131 (2012) 1577–1590. doi: 10.1002/ijc.27429

    15. [15]

      Y. Sheng, M. Zhou, C. You, X. Dai, Chin. Chem. Lett. 33 (2022) 2253–2258. doi: 10.1016/j.cclet.2021.08.109

    16. [16]

      Y. Fu, G.Z. Luo, K. Chen, et al., Cell 161 (2015) 879–892. doi: 10.1016/j.cell.2015.04.010

    17. [17]

      H. Huang G. Zhang, D. Liu, et al., Cell 161 (2015) 893–906. doi: 10.1016/j.cell.2015.04.018

    18. [18]

      E.L. Greer, M.A. Blanco, L. Gu, et al., Cell 161 (2015) 868–878. doi: 10.1016/j.cell.2015.04.005

    19. [19]

      M.J. Koziol, C.R. Bradshaw, G.E. Allen, et al., Nat. Struct. Mol. Biol. 23 (2016) 24–30. doi: 10.1038/nsmb.3145

    20. [20]

      J.Z. Liu, Y.X. Zhu, G.Z. Luo, et al., Nat. Commun. 7 (2016) 13052. doi: 10.1038/ncomms13052

    21. [21]

      T.P. Wu, T. Wang, M.G. Seetin, et al., Nature 532 (2016) 329–333. doi: 10.1038/nature17640

    22. [22]

      C.L. Xiao, S. Zhu, M. He, et al., Mol. Cell 71 (2018) 306–318. doi: 10.1016/j.molcel.2018.06.015

    23. [23]

      M. Zhang, S. Yang, R. Nelakanti, et al., Cell Res. 30 (2020) 197–210. doi: 10.1038/s41422-019-0237-5

    24. [24]

      Q. Xie, T.P. Wu, R.C. Gimple, et al., Cell 175 (2018) 1228–1243. doi: 10.1016/j.cell.2018.10.006

    25. [25]

      J. Xiong, T.T. Ye, C.J. Ma, et al., Nucleic Acids Res. 47 (2019) 1268–1277. doi: 10.1093/nar/gky1218

    26. [26]

      L.Y. Chen, M.Y. Zhang, M.Z. Guo, Discov. Med. 29 (2020) 85–90.

    27. [27]

      X. Sheng, J. Wang, Y. Guo, et al., Front. Oncol. 10 (2021) 616098. doi: 10.3389/fonc.2020.616098

    28. [28]

      C. Guo, Y.Q. Hu, X.J. Cao, et al., Anal. Chem. 93 (2021) 17060–17068. doi: 10.1021/acs.analchem.1c03829

    29. [29]

      X.J. You, L. Li, T.T. Ji, et al., Chin. Chem. Lett. 34 (2023) 107181. doi: 10.1016/j.cclet.2022.01.074

    30. [30]

      R. Zhang, W.Y. Lai, H.L. Wang, Anal. Chem. 93 (2021) 15567–15572. doi: 10.1021/acs.analchem.1c04151

    31. [31]

      Q. Wang, J.H. Ding, J. Xiong, et al., Chin. Chem. Lett. 32 (2021) 3426–3430. doi: 10.1016/j.cclet.2021.05.020

    32. [32]

      M.Y. Chen, C.B. Qi, X.M. Tang, et al., Chin. Chem. Lett. 33 (2022) 3772–3776. doi: 10.1016/j.cclet.2021.12.008

    33. [33]

      M.Y. Chen, Z. Gui, K.K. Chen, et al., Chin. Chem. Lett. 33 (2022) 2086–2090. doi: 10.1016/j.cclet.2021.08.094

    34. [34]

      K.D. Clark, S.S. Rubakhin, J.V. Sweedler, Anal. Chem. 93 (2021) 14537–14544. doi: 10.1021/acs.analchem.1c03507

    35. [35]

      Y.J. Feng, X.J. You, J.H. Ding, et al., Anal. Chem. 94 (2022) 4747–4755. doi: 10.1021/acs.analchem.1c05292

    36. [36]

      B.F. Yuan, Chem. Res. Toxicol. 33 (2020) 695–708. doi: 10.1021/acs.chemrestox.9b00372

    37. [37]

      C. Guo, C. Xie, Q. Chen, Anal. Chim. Acta. 1034 (2018) 110–118. doi: 10.1016/j.aca.2018.06.081

    38. [38]

      S. Schiffers, C. Ebert, R. Rahimoff, et al., Angew. Chem. Int. Ed. 56 (2017) 11268–11271. doi: 10.1002/anie.201700424

    39. [39]

      R.C. Yin, J.Z. Mo, M.L. Lu, et al., Anal. Chem. 87 (2015) 1846–1852. doi: 10.1021/ac5038895

    40. [40]

      M.L. Chen, F. Shen, W. Huang, et al., Clin. Chem. 59 (2013) 824–832. doi: 10.1373/clinchem.2012.193938

    41. [41]

      H. Yang, Y. Liu, F. Bai, et al., Oncogene 32 (2013) 663–669. doi: 10.1038/onc.2012.67

    42. [42]

      Y. Tang, S.J. Zheng, C.B. Qi, et al., Anal. Chem. 87 (2015) 3445–3452. doi: 10.1021/ac504786r

  • Figure 1  Schematic diagram to illustrate the analytical procedures for the analysis of m6dA, 5-mdC and 5-hmdC in human tissues. Genomic DNA was isolated from tumor and matched tumor-adjacent normal tissues from various types of cancer patients, followed by enzymatic digestion and malic acid-enhanced HILIC-MS/MS measurement.

    Figure 2  (a) The chemical structures of m6dA, 5-mdC, 5-hmdC and their stable isotope-labeled internal standards. (b) The MRM chromatograms of rA, rC, rG, rU, dA, dC, dG, T, m6dA, 5-mdC and 5-hmdC standards. The concentration of rU was 300 nmol/L. For other nucleosides, the concentration was 100 nmol/L each.

    Figure 3  Identification of m6dA, dA, 5-mdC, 5-hmdC and dG in human tissues. (a) MRM chromatograms of m6dA, dA, 5-mdC, 5-hmdC, dG and their corresponding stable isotope-labeled internal standards in a human tissue sample. (b) MRM chromatograms of m6dA, dA, 5-mdC, 5-hmdC and dG in enzyme blank samples, which only contain enzymes used for digesting DNA.

    Figure 4  Quantification results of (a) m6dA, (b) 5-mdC, and (c) 5-hmdC in 82 pairs of tumor tissues and matched tumor-adjacent normal tissues. ns, P > 0.05; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

  • 加载中
计量
  • PDF下载量:  3
  • 文章访问数:  921
  • HTML全文浏览量:  47
文章相关
  • 发布日期:  2023-07-15
  • 收稿日期:  2022-08-24
  • 接受日期:  2022-11-24
  • 修回日期:  2022-11-10
  • 网络出版日期:  2022-11-26
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

/

返回文章