| Literature DB >> 32587589 |
Mélanie A Cron1, Émilie Guillochon1, Linda Kusner2, Rozen Le Panse1.
Abstract
The thymus, a primary lymphoid organ, provides a complex environment essential for the generation of the T-cell repertoire. Thymic alterations occur during life either in the context of thymic involution upon aging or the pathophysiological context of Myasthenia Gravis (MG). These changes involve complicated regulatory networks, in which microRNAs (miRNAs) are key players. Here, we analyzed the role of miRNAs in thymocyte maturation and differentiation sustained by thymic epithelial cells. We compared data from the literature regarding the role of mouse thymic miRNAs and original data obtained from a human thymic miRnome study. We identified a set of highly expressed miRNAs defined as ThymiRs and investigated miRNA expression in infants as compared to adults to determine those associated with human thymic involution. Thymic changes are also frequently observed in MG, an autoimmune disease which results in the production of anti-acetylcholine receptor (AChR) antibodies that lead to muscle weaknesses. Alterations such as thymoma in late-onset MG patients and hyperplasia with ectopic germinal centers (GCs) in early-onset (EOMG) patients are found. Thymic miRNA expression has been studied in AChR-MG patients both in thymoma-associated MG (TAMG) and EOMG, and their function through their mRNA targets investigated. Most of the dysregulated thymic miRNAs in EOMG are associated with GC development, such as miR-7, miR-24, miR-139, miR-143, miR-145, miR-146, miR-150, miR-452, miR-548 or thymic inflammation, such as miR-125b, miR-146, or miR-29. Understanding these pathways may provide therapeutic targets or biomarkers of disease manifestations.Entities:
Keywords: autoimmunity; early-onset myasthenia gravis; germinal center; thymic epithelial cells; thymic involution; thymocytes; thymoma
Year: 2020 PMID: 32587589 PMCID: PMC7297979 DOI: 10.3389/fimmu.2020.01074
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Human ThymiRs. Repartition of ThymiRs according to the mean of intensities. Thymic biopsies were collected from female infants undergoing cardiovascular surgery at the Marie Lannelongue Surgical Center (Le Plessis-Robinson, France) (n = 6, 3–12 months old). Studies on thymuses were approved by a local ethics committee (CPP, authorization number ID RCB 2010-A00250-39). Total RNA extraction and miRNA analyses were done as described in Cron et al. (11). Raw data were imported using R package pd.mirna.3.0 (v 3.12.0). Raw intensity values were background corrected and normalized with RMA (Robust Multi-array Average) function from oligo R package (1.48.0).
Human ThymiRs.
| hsa-miR-16 | 42,177 | 995 |
| hsa-miR-181a | 39,264 | 987 |
| hsa-miR-26a | 36,825 | 751 |
| hsa-miR-17 | 32,468 | 245 |
| hsa-miR-106a | 30,695 | 134 |
| hsa-miR-20a | 29,018 | 241 |
| hsa-miR-3960 | 28,997 | 3,351 |
| hsa-miR-3665 | 26,827 | 2,385 |
| hsa-miR-92a | 26,734 | 560 |
| hsa-miR-181b | 26,425 | 657 |
| hsa-miR-103a | 23,522 | 459 |
| hsa-miR-4787-5p | 23,473 | 2,736 |
| hsa-miR-342-3p | 23,080 | 453 |
| hsa-let-7a | 22,697 | 1,680 |
| hsa-let-7b | 22,524 | 1,506 |
| hsa-miR-93 | 21,822 | 810 |
| hsa-miR-191 | 21,059 | 726 |
| hsa-let-7c | 20,657 | 573 |
| hsa-miR-205 | 20,509 | 806 |
| hsa-miR-107 | 20,000 | 367 |
| hsa-miR-125b | 19,037 | 722 |
| hsa-miR-106b | 17,449 | 652 |
| hsa-let-7d | 16,420 | 412 |
| hsa-miR-4497 | 16,199 | 903 |
| hsa-miR-20b | 15,256 | 473 |
| hsa-miR-150 | 15,058 | 415 |
| hsa-miR-19b | 14,736 | 1,521 |
| hsa-miR-155 | 14,724 | 401 |
| hsa-miR-4466 | 14,691 | 1,656 |
| hsa-miR-1915 | 13,850 | 1,881 |
| hsa-miR-4488 | 13,612 | 1,872 |
| hsa-miR-638 | 13,379 | 1,563 |
| hsa-miR-24 | 13,138 | 957 |
| hsa-miR-15b | 12,644 | 1,160 |
| hsa-miR-23a | 12,537 | 170 |
| hsa-let-7i | 12,007 | 1,014 |
| hsa-miR-3656 | 11,829 | 2,541 |
| hsa-miR-320b | 11,481 | 1,282 |
| hsa-miR-320a | 11,370 | 1,221 |
| hsa-miR-2861 | 10,996 | 1,367 |
| hsa-miR-100 | 10,871 | 313 |
| hsa-miR-200c | 10,783 | 630 |
| hsa-miR-15a | 10,574 | 1,133 |
| hsa-miR-4516 | 10,522 | 1,110 |
| hsa-miR-320c | 10,430 | 1,061 |
List of the most highly expressed ThymiRs with a mean intensity over 10,000. The origin of data is detailed in .
Dysregulated miRNAs during human thymic involution.
| hsa-miR-383 | 9 | 182 | 20.32 | 9.88E-06 |
| 337 | 1,475 | 4.38 | 6.59E-03 | |
| 485 | 1,489 | 3.07 | 1.93E-02 | |
| hsa-miR-486-3p | 14 | 41 | 3.01 | 4.25E-03 |
| 565 | 1,684 | 2.98 | 1.68E-03 | |
| hsa-miR-34c-3p | 105 | 284 | 2.72 | 1.97E-03 |
| 871 | 2,292 | 2.63 | 2.29E-02 | |
| hsa-miR-375 | 124 | 309 | 2.48 | 1.64E-03 |
| 749 | 1,794 | 2.39 | 1.85E-02 | |
| hsa-miR-494 | 350 | 831 | 2.37 | 1.42E-02 |
| hsa-miR-139-3p | 35 | 82 | 2.32 | 7.48E-03 |
| 865 | 2,000 | 2.31 | 7.31E-04 | |
| hsa-miR-134 | 69 | 158 | 2.29 | 9.41E-03 |
| hsa-miR-650 | 16 | 37 | 2.26 | 1.99E-02 |
| hsa-miR-224* | 72 | 160 | 2.21 | 3.13E-03 |
| hsa-miR-139-5p | 356 | 781 | 2.20 | 1.14E-03 |
| hsa-miR-30c-2* | 10 | 22 | 2.17 | 6.75E-03 |
| 2,116 | 4,534 | 2.14 | 5.98E-03 | |
| hsa-miR-143* | 27 | 57 | 2.09 | 1.45E-02 |
| hsa-miR-3605-5p | 17 | 34 | 2.07 | 2.79E-03 |
| hsa-miR-664* | 141 | 291 | 2.06 | 1.62E-03 |
| 4,561 | 9,012 | 1.98 | 4.33E-05 | |
| hsa-miR-4788 | 18 | 35 | 1.94 | 3.03E-04 |
| hsa-miR-572 | 145 | 280 | 1.93 | 5.30E-03 |
| hsa-miR-10b | 308 | 593 | 1.93 | 5.24E-03 |
| hsa-miR-3607-5p | 102 | 197 | 1.92 | 6.24E-04 |
| hsa-miR-584 | 10 | 19 | 1.90 | 2.08E-02 |
| hsa-miR-34c-5p | 132 | 247 | 1.87 | 3.53E-03 |
| 7,014 | 13,024 | 1.86 | 1.68E-03 | |
| hsa-miR-125a-3p | 52 | 96 | 1.84 | 2.21E-02 |
| hsa-miR-4496 | 8 | 15 | 1.83 | 2.13E-02 |
| hsa-miR-193a-5p | 357 | 650 | 1.82 | 1.15E-02 |
| 3,651 | 6,563 | 1.80 | 1.50E-02 | |
| 22,524 | 39,436 | 1.75 | 6.66E-05 | |
| hsa-miR-200b* | 449 | 784 | 1.75 | 2.44E-03 |
| hsa-miR-30a* | 90 | 155 | 1.73 | 1.30E-02 |
| hsa-miR-492 | 7 | 12 | 1.73 | 4.09E-02 |
| hsa-miR-4324 | 36 | 62 | 1.72 | 4.38E-02 |
| hsa-miR-4657 | 10 | 17 | 1.71 | 4.90E-02 |
| 3,410 | 5,800 | 1.70 | 3.35E-02 | |
| hsa-miR-4778-5p | 7 | 12 | 1.70 | 9.78E-03 |
| hsa-miR-1202 | 78 | 133 | 1.69 | 3.37E-02 |
| hsa-miR-4800-5p | 25 | 42 | 1.67 | 1.95E-02 |
| hsa-miR-379 | 180 | 299 | 1.66 | 1.91E-02 |
| 3,746 | 6,216 | 1.66 | 1.96E-02 | |
| hsa-miR-4738-3p | 32 | 54 | 1.66 | 2.33E-03 |
| hsa-miR-4667-5p | 56 | 92 | 1.64 | 2.81E-03 |
| hsa-miR-29b-1* | 56 | 90 | 1.61 | 1.17E-02 |
| hsa-miR-23b* | 16 | 26 | 1.60 | 4.04E-02 |
| 1,415 | 2,225 | 1.57 | 9.55E-04 | |
| hsa-miR-1 | 6 | 9 | 1.57 | 1.32E-03 |
| hsa-miR-339-3p | 409 | 636 | 1.56 | 4.02E-02 |
| 1,818 | 2,825 | 1.55 | 1.94E-02 | |
| 5,850 | 9,013 | 1.54 | 2.24E-02 | |
| hsa-miR-3127-5p | 8 | 12 | 1.53 | 2.77E-02 |
| 867 | 1,311 | 1.51 | 4.28E-02 | |
| hsa-miR-301a | 310 | 55 | −5.62 | 9.13E-03 |
| hsa-miR-449b | 70 | 12 | −5.61 | 1.03E-03 |
| hsa-miR-142-3p | 80 | 15 | −5.30 | 8.44E-04 |
| hsa-miR-449a | 70 | 14 | −4.90 | 1.65E-03 |
| hsa-miR-142-5p | 269 | 68 | −3.94 | 4.59E-03 |
| hsa-miR-297 | 69 | 19 | −3.57 | 4.02E-02 |
| hsa-miR-4793-3p | 76 | 22 | −3.41 | 4.74E-02 |
| hsa-miR-551a | 32 | 10 | −3.18 | 7.07E-04 |
| hsa-miR-590-5p | 36 | 12 | −2.96 | 4.83E-02 |
| hsa-miR-15a* | 52 | 18 | −2.91 | 3.14E-04 |
| hsa-miR-424 | 56 | 20 | −2.86 | 5.79E-03 |
| hsa-miR-502-5p | 32 | 12 | −2.71 | 6.54E-03 |
| hsa-miR-3907 | 24 | 9 | −2.71 | 7.61E-03 |
| hsa-miR-598 | 16 | 6 | −2.62 | 7.05E-03 |
| hsa-miR-550a* | 113 | 43 | −2.61 | 6.50E-04 |
| hsa-miR-542-5p | 139 | 54 | −2.55 | 6.75E-03 |
| 1,019 | 406 | −2.51 | 3.46E-03 | |
| hsa-miR-19b-1* | 40 | 16 | −2.49 | 1.38E-02 |
| hsa-miR-449c | 37 | 15 | −2.48 | 4.13E-03 |
| hsa-miR-641 | 143 | 58 | −2.48 | 5.63E-04 |
| hsa-miR-4440 | 139 | 59 | −2.37 | 3.05E-02 |
| hsa-miR-301b | 10 | 4 | −2.29 | 4.94E-03 |
| 1,711 | 752 | −2.28 | 6.44E-06 | |
| 10,574 | 4,666 | −2.27 | 1.66E-03 | |
| hsa-miR-140-5p | 773 | 342 | −2.26 | 7.22E-03 |
| hsa-miR-3201 | 21 | 10 | −2.21 | 1.42E-02 |
| 1,840 | 838 | −2.20 | 4.19E-03 | |
| 2,719 | 1,239 | −2.19 | 4.93E-05 | |
| hsa-let-7g* | 62 | 28 | −2.17 | 3.14E-02 |
| hsa-miR-16-1* | 8 | 4 | −2.16 | 3.51E-03 |
| hsa-miR-3064-3p | 57 | 27 | −2.15 | 1.02E-03 |
| hsa-miR-589 | 15 | 7 | −2.14 | 1.68E-02 |
| hsa-miR-503 | 405 | 190 | −2.13 | 1.04E-02 |
| hsa-miR-122 | 67 | 31 | −2.13 | 3.20E-03 |
| hsa-miR-4286 | 147 | 70 | −2.10 | 1.52E-02 |
| hsa-miR-5096 | 27 | 13 | −2.09 | 3.94E-02 |
| hsa-miR-362-3p | 22 | 11 | −2.09 | 3.72E-02 |
| hsa-miR-431 | 17 | 8 | −2.05 | 8.44E-03 |
| hsa-miR-4786-5p | 37 | 18 | −2.03 | 4.76E-02 |
| hsa-miR-330-5p | 17 | 8 | −2.00 | 6.59E-03 |
| hsa-miR-3620 | 29 | 15 | −1.99 | 5.08E-03 |
| hsa-miR-185* | 25 | 13 | −1.94 | 2.05E-02 |
| hsa-miR-4787-3p | 19 | 10 | −1.93 | 1.41E-02 |
| hsa-miR-196b* | 264 | 137 | −1.92 | 2.52E-03 |
| hsa-miR-484 | 216 | 114 | −1.90 | 1.71E-04 |
| hsa-miR-1306 | 24 | 13 | −1.90 | 1.37E-02 |
| hsa-miR-637 | 45 | 24 | −1.89 | 4.67E-02 |
| hsa-miR-551b | 22 | 11 | −1.88 | 4.24E-02 |
| hsa-miR-612 | 18 | 10 | −1.88 | 8.73E-03 |
| hsa-let-7d* | 35 | 18 | −1.87 | 1.06E-02 |
| hsa-let-7i* | 67 | 36 | −1.85 | 2.79E-03 |
| hsa-miR-1915* | 39 | 21 | −1.83 | 4.31E-02 |
| hsa-miR-3157-5p | 37 | 20 | −1.82 | 4.62E-03 |
| 6,129 | 3,418 | −1.79 | 7.24E-03 | |
| 2,103 | 1,178 | −1.79 | 4.14E-03 | |
| hsa-miR-130b* | 12 | 7 | −1.77 | 2.13E-02 |
| 14,736 | 8,370 | −1.76 | 1.26E-02 | |
| 1,280 | 731 | −1.75 | 1.82E-02 | |
| hsa-miR-129-5p | 13 | 8 | −1.74 | 3.28E-02 |
| hsa-miR-760 | 25 | 14 | −1.74 | 4.16E-02 |
| hsa-miR-4493 | 6 | 4 | −1.73 | 1.87E-02 |
| hsa-miR-1229 | 13 | 8 | −1.72 | 1.76E-03 |
| 4,120 | 2,399 | −1.72 | 3.07E-02 | |
| hsa-miR-4763-5p | 34 | 20 | −1.72 | 9.15E-03 |
| 6,309 | 3,714 | −1.70 | 9.64E-03 | |
| 2,171 | 1,282 | −1.69 | 1.91E-02 | |
| hsa-miR-4323 | 31 | 18 | −1.69 | 5.58E-03 |
| hsa-miR-4746-3p | 15 | 9 | −1.67 | 1.97E-02 |
| 17,449 | 10,554 | −1.65 | 4.93E-03 | |
| hsa-miR-3928 | 33 | 20 | −1.65 | 1.48E-02 |
| hsa-miR-675* | 15 | 9 | −1.64 | 9.47E-03 |
| hsa-miR-4284 | 262 | 163 | −1.61 | 1.46E-02 |
| hsa-miR-3610 | 19 | 12 | −1.61 | 1.72E-02 |
| hsa-miR-4457 | 8 | 5 | −1.60 | 2.84E-02 |
| hsa-miR-361-3p | 78 | 49 | −1.60 | 4.66E-02 |
| hsa-miR-18a* | 375 | 236 | −1.59 | 1.60E-03 |
| 7,565 | 4,770 | −1.59 | 3.91E-02 | |
| hsa-miR-4478 | 42 | 27 | −1.58 | 4.53E-02 |
| hsa-miR-3180 | 438 | 280 | −1.57 | 3.58E-02 |
| 1,384 | 890 | −1.56 | 1.75E-03 | |
| 5,672 | 3,709 | −1.53 | 2.13E-02 | |
| hsa-miR-20b* | 229 | 150 | −1.52 | 9.11E-03 |
| hsa-miR-636 | 20 | 13 | −1.52 | 2.70E-02 |
| hsa-miR-3145-5p | 29 | 19 | −1.52 | 1.97E-02 |
| hsa-miR-1304 | 12 | 8 | −1.51 | 1.19E-02 |
| hsa-miR-769-5p | 285 | 188 | −1.51 | 2.86E-03 |
| hsa-miR-1226 | 10 | 7 | −1.51 | 2.61E-02 |
Thymic biopsies were collected from female donors undergoing cardiovascular surgery at the Marie Lannelongue Surgical Center (Le Plessis-Robinson, France): infants (n = 6, 3–12 months old) and adults (n = 6, 15-33 years old). Studies on thymuses were approved by a local ethics committee (CPP, authorization number ID RCB 2010-A00250-39). Total RNA extraction was done as described in Cron et al. (.
Raw data were imported using R package pd.mirna.3.0 (v 3.12.0). Raw intensity values were background corrected and normalized with RMA (Robust Multi-array Average) function from oligo R package (1.48.0). Differential expression analysis was performed using Limma R package (v 3.40.6). Limma fits a linear model to expression data for each miRNA and Empirical Bayes method was used to generate differential expression statistics. The tables list mature miRNAs up- (A) or down-(B) regulated in adults as compared to infants with a fold change (FC) set at 1.5 and a p < = 0.05. In bold miRNAs of particular interest regarding their mean intensity value. (A), miRNAs at least above 1,000 in adults. (B), miRNAs at least above 1,000 in infants. The mean intensity values are coded as follow: 40,000–10,000 (red), 10,000–5,000 (pink), 5,000–1,000 (orange), 1,000–100 (green), below 100 (gray).
Figure 2Dysregulated miRNAs during human thymic involution. Thymic biopsies were collected and processed for miRNA analyses as detailed in Figure 1. Mean of normalized intensity values were calculated for each miRNA for infants (n = 6, 3–12 months old females) and adults (n = 6, 15–33 years old females) data. (A) let-7, (B) miR-181, and (C) miR-125 families. Differential expression analysis was performed using Limma R package (v 3.40.6). Limma fits a linear model to expression data for each miRNA and Empirical Bayes method was used to generate differential expression statistics: p-values and fold-change values.
KEGG Pathway enrichment analyses were performed on dysregulated miRNAs identified in Cron et al. (A) and Sengupta et al. (B) using miRNet (https://www.mirnet.ca/miRNet/home.xhtml).
| Pathways in cancer | 90 | 6.49E-29 |
| Prostate cancer | 35 | 2.74E-15 |
| Focal adhesion | 53 | 1.75E-14 |
| Pancreatic cancer | 30 | 2.21E-14 |
| Glioma | 28 | 2.38E-13 |
| Chronic myeloid leukemia | 29 | 8.4E-13 |
| Colorectal cancer | 23 | 5.21E-12 |
| Small cell lung cancer | 29 | 1.04E-11 |
| Regulation of actin cytoskeleton | 44 | 8.61E-11 |
| Neurotrophin signaling pathway | 35 | 1E-10 |
| Melanoma | 25 | 2.36E-10 |
| Acute myeloid leukemia | 22 | 1.26E-09 |
| Bacterial invasion of epithelial cells | 21 | 6.06E-09 |
| Non-small cell lung cancer | 20 | 8.82E-09 |
| Chemokine signaling pathway | 41 | 1.12E-08 |
| Adherens junction | 23 | 1.49E-08 |
| Renal cell carcinoma | 21 | 2.05E-08 |
| Toxoplasmosis | 26 | 5.40E-08 |
| ErbB signaling pathway | 25 | 5.50E-08 |
| Endometrial cancer | 17 | 1.16E-07 |
| Jak-STAT signaling pathway | 26 | 1.96E-07 |
| HTLV-I infection | 39 | 4.22E-07 |
| T cell receptor signaling pathway | 25 | 6.37E-07 |
| Insulin signaling pathway | 30 | 1.22E-06 |
| Chagas disease (American trypanosomiasis) | 23 | 1.55E-06 |
| p53 signaling pathway | 19 | 4.85E-06 |
| Cholinergic synapse | 23 | 5.12E-06 |
| B cell receptor signaling pathway | 20 | 5.17E-06 |
| Bladder cancer | 12 | 5.17E-06 |
| mTOR signaling pathway | 15 | 5.53E-06 |
| Epstein-Barr virus infection | 22 | 8.07E-06 |
| Hepatitis C | 23 | 1.14E-05 |
| Leukocyte transendothelial migration | 24 | 1.27E-05 |
| MAPK signaling pathway | 43 | 1.39E-05 |
| Apoptosis | 20 | 2.34E-05 |
| Progesterone-mediated oocyte maturation | 19 | 5.02E-05 |
| Type II diabetes mellitus | 14 | 6.24E-05 |
| Fc epsilon RI signaling pathway | 18 | 7.05E-05 |
| Fc gamma R-mediated phagocytosis | 21 | 7.34E-05 |
| Melanogenesis | 21 | 1.38E-04 |
| Thyroid cancer | 10 | 1.50E-04 |
| VEGF signaling pathway | 17 | 2.95E-04 |
| TGF-beta signaling pathway | 18 | 3.21E-04 |
| Hypertrophic cardiomyopathy (HCM) | 9 | 3.30E-04 |
| Axon guidance | 22 | 4.47E-04 |
| Tight junction | 22 | 4.47E-04 |
| Wnt signaling pathway | 25 | 4.97E-04 |
| Tuberculosis | 28 | 7.46E-04 |
| Aldosterone-regulated sodium reabsorption | 10 | 8.17E-04 |
| Carbohydrate digestion and absorption | 7 | 1.11E-03 |
| Alcoholism | 26 | 1.86E-03 |
| Cell cycle | 21 | 2.22E-03 |
| Dopaminergic synapse | 21 | 2.22E-03 |
| Measles | 18 | 3.27E-03 |
| Arrhythmogenic right ventricular cardiomyopathy (ARVC) | 5 | 5.68E-03 |
| ECM-receptor interaction | 15 | 7.47E-03 |
| Osteoclast differentiation | 19 | 7.74E-03 |
| GnRH signaling pathway | 16 | 8.65E-03 |
| Herpes simplex infection | 17 | 8.84E-03 |
| Dilated cardiomyopathy | 14 | 9.31E-03 |
| Adipocytokine signaling pathway | 12 | 1.10E-02 |
| Toll-like receptor signaling pathway | 16 | 1.13E-02 |
| Salmonella infection | 13 | 1.18E-02 |
| Influenza A | 16 | 2.90E-02 |
| Basal cell carcinoma | 9 | 3.19E-02 |
| Cardiac muscle contraction | 4 | 3.59E-02 |
| Dorso-ventral axis formation | 4 | 3.59E-02 |
| NOD-like receptor signaling pathway | 9 | 4.00E-02 |
| Cytokine-cytokine receptor interaction | 30 | 4.15E-02 |
| Viral myocarditis | 6 | 4.15E-02 |
| Pathways in cancer | 87 | 3.17E-26 |
| Chronic myeloid leukemia | 33 | 4.40E-16 |
| HTLV-I infection | 55 | 9.17E-16 |
| Prostate cancer | 34 | 1.64E-14 |
| Colorectal cancer | 25 | 6.48E-14 |
| Pancreatic cancer | 29 | 1.88E-13 |
| Focal adhesion | 51 | 2.62E-13 |
| Melanoma | 27 | 6.84E-12 |
| Glioma | 26 | 1.40E-11 |
| Non-small cell lung cancer | 22 | 2.12E-10 |
| Endometrial cancer | 20 | 3.46E-10 |
| Bladder cancer | 16 | 8.40E-10 |
| Small cell lung cancer | 26 | 2.43E-09 |
| Cell cycle | 33 | 2.95E-09 |
| Thyroid cancer | 14 | 6.34E-08 |
| Osteoclast differentiation | 30 | 7.38E-08 |
| ErbB signaling pathway | 25 | 7.70E-08 |
| Renal cell carcinoma | 20 | 1.53E-07 |
| Toll-like receptor signaling pathway | 26 | 1.62E-07 |
| Regulation of actin cytoskeleton | 38 | 1.62E-07 |
| Toxoplasmosis | 25 | 2.78E-07 |
| Acute myeloid leukemia | 19 | 2.92E-07 |
| Adherens junction | 21 | 4.24E-07 |
| Chagas disease (American trypanosomiasis) | 24 | 4.36E-07 |
| p53 signaling pathway | 20 | 1.10E-06 |
| mTOR signaling pathway | 16 | 1.10E-06 |
| Bacterial invasion of epithelial cells | 18 | 1.10E-06 |
| MAPK signaling pathway | 46 | 1.25E-06 |
| Leukocyte transendothelial migration | 26 | 1.25E-06 |
| VEGF signaling pathway | 21 | 1.57E-06 |
| Epstein-Barr virus infection | 22 | 9.71E-06 |
| Neurotrophin signaling pathway | 26 | 1.63E-05 |
| B cell receptor signaling pathway | 19 | 2.30E-05 |
| Axon guidance | 25 | 2.31E-05 |
| TGF-beta signaling pathway | 20 | 3.37E-05 |
| Fc epsilon RI signaling pathway | 18 | 8.65E-05 |
| Apoptosis | 19 | 1.01E-04 |
| T cell receptor signaling pathway | 21 | 1.05E-04 |
| Chemokine signaling pathway | 31 | 3.46E-04 |
| Influenza A | 21 | 3.99E-04 |
| Hepatitis C | 20 | 4.38E-04 |
| Wnt signaling pathway | 25 | 6.63E-04 |
| Measles | 19 | 1.66E-03 |
| Insulin signaling pathway | 23 | 1.95E-03 |
| Salmonella infection | 15 | 1.95E-03 |
| Jak-STAT signaling pathway | 18 | 3.02E-03 |
| Type II diabetes mellitus | 11 | 4.79E-03 |
| Progesterone-mediated oocyte maturation | 15 | 5.83E-03 |
| Epithelial cell signaling in Helicobacter pylori infection | 9 | 8.37E-03 |
| Carbohydrate digestion and absorption | 6 | 8.44E-03 |
| Natural killer cell mediated cytotoxicity | 21 | 1.08E-02 |
| GnRH signaling pathway | 16 | 1.08E-02 |
| Amyotrophic lateral sclerosis (ALS) | 9 | 1.14E-02 |
| Fc gamma R-mediated phagocytosis | 16 | 1.44E-02 |
| Aldosterone-regulated sodium reabsorption | 8 | 1.65E-02 |
| ECM-receptor interaction | 14 | 2.21E-02 |
| Cholinergic synapse | 15 | 2.73E-02 |
| Long-term potentiation | 12 | 3.04E-02 |
| Amoebiasis | 9 | 3.26E-02 |
| Tight junction | 17 | 3.95E-02 |
| Dorso-ventral axis formation | 4 | 3.96E-02 |
| Legionellosis | 8 | 3.96E-02 |
| Hypertrophic cardiomyopathy (HCM) | 6 | 3.96E-02 |
| Arrhythmogenic right ventricular cardiomyopathy (ARVC) | 4 | 3.96E-02 |
| One carbon pool by folate | 5 | 4.62E-02 |
| Viral myocarditis | 6 | 4.62E-02 |
Pathways of interest are highlighted: cancer pathways (gray), pathogen infection pathways (blue), Toll-Like Receptor signaling pathway (green) and chemokine signaling pathway (yellow).