Cross-Talk between N6-Methyladenosine and Their Related RNAs Defined a Signature and Confirmed m6A Regulators for Diagnosis of Endometriosis
Abstract
:1. Introductions
2. Results
2.1. Summaries of Data In Silico
2.2. The Landscape of Expression and Diversity of m6A Regulators among Healthy and Disease Samples
2.3. The m6As and Their Relative mRNAs Recognized Patterns of Co-Alteration in EMs
2.4. Consensus Clustering Analysis for m6A-Related mRNAs Unveiled the Heterogeneity in EMs
2.5. Characteristics of the Immune Microenvironment in EMs Subtypes
2.6. The m6As and Their Relative lncRNAs Recognized Patterns of Co-Alteration in EMs
2.7. Construction and Validation of an m6A-Related Diagnostic Signature
2.8. Enrichment Analysis of METTL3-Related Modification Patterns
2.9. The Experimental Validation of m6A Modification in EMs
3. Discussion
4. Materials and Methods
4.1. Data Pre-Processing
4.2. Landscape of Alteration in m6A Regulators in EMs
4.3. Alteration of Differentially Expressed mRNAs Associated with m6A Regulators
4.4. Consensus Clustering Analysis and Immune Microenvironment Characteristics in EMs
4.5. Identification of m6A-Related lncRNAs
4.6. Establishment and Validation of m6A Diagnostic Model for EMs
4.7. Clinical Sample Collection
4.8. Primary Cell Extraction
4.9. Reverse Transcription and RT-qPCR
4.10. m6A Quantity Assay
4.11. Western Blotting
4.12. Statistical Analysis
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Ectopic N = 198 | Eutopic N = 104 | Normal N = 43 | |
---|---|---|---|
Cycle phase: | |||
medication | 96 (48.5%) | 43 (41.3%) | 10 (23.3%) |
menstruation | 10 (5.05%) | 7 (6.73%) | 0 (0.00%) |
proliferative | 29 (14.6%) | 17 (16.3%) | 7 (16.3%) |
secretory | 41 (20.7%) | 27 (26.0%) | 17 (39.5%) |
unknown | 22 (11.1%) | 10 (9.62%) | 9 (20.9%) |
Tissue: | |||
Deep infiltrating endometriosis lesion | 42 (21.2%) | 0 (0.00%) | 0 (0.00%) |
Endometrium | 0 (0.00%) | 104(100%) | 43 (100%) |
Ovarian endometrioma | 28 (14.1%) | 0 (0.00%) | 0 (0.00%) |
Peritoneal endometriosis lesion | 79 (39.9%) | 0 (0.00%) | 0 (0.00%) |
Rectovaginal lesion | 22 (11.1%) | 0 (0.00%) | 0 (0.00%) |
Sacrouterine ligament lesion | 27 (13.6%) | 0 (0.00%) | 0 (0.00%) |
Stage: | |||
1 | 20 (10.1%) | 15 (14.4%) | 0 (0.00%) |
2 | 26 (13.1%) | 14 (13.5%) | 0 (0.00%) |
3 | 47 (23.7%) | 22 (21.2%) | 1 (2.33%) |
4 | 101 (51.0%) | 52 (50.0%) | 0 (0.00%) |
Healthy | 0 (0.00%) | 0 (0.00%) | 42 (97.7%) |
unknown | 4 (2.02%) | 1 (0.96%) | 0 (0.00%) |
Age: | |||
<35 | 135 (68.2%) | 68 (65.4%) | 5 (11.6%) |
≥35 | 63 (31.8%) | 36 (34.6%) | 38 (88.4%) |
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Wang, X.; Zhao, X.; Wang, J.; Wu, H.; Cheng, Y.; Guo, Q.; Liang, T.; Zhang, G. Cross-Talk between N6-Methyladenosine and Their Related RNAs Defined a Signature and Confirmed m6A Regulators for Diagnosis of Endometriosis. Int. J. Mol. Sci. 2023, 24, 1665. https://doi.org/10.3390/ijms24021665
Wang X, Zhao X, Wang J, Wu H, Cheng Y, Guo Q, Liang T, Zhang G. Cross-Talk between N6-Methyladenosine and Their Related RNAs Defined a Signature and Confirmed m6A Regulators for Diagnosis of Endometriosis. International Journal of Molecular Sciences. 2023; 24(2):1665. https://doi.org/10.3390/ijms24021665
Chicago/Turabian StyleWang, Xiaotong, Xibo Zhao, Jing Wang, Han Wu, Yan Cheng, Qiuyan Guo, Tian Liang, and Guangmei Zhang. 2023. "Cross-Talk between N6-Methyladenosine and Their Related RNAs Defined a Signature and Confirmed m6A Regulators for Diagnosis of Endometriosis" International Journal of Molecular Sciences 24, no. 2: 1665. https://doi.org/10.3390/ijms24021665