Abstract
Duchenne muscular dystrophy (DMD) is one of the most severe neuromuscular disorders. Long non-coding RNAs (lncRNAs) are a group of non-coding transcripts, which could regulate messenger RNA (mRNA) by binding the mutual miRNAs, thus acting as competing endogenous RNAs (ceRNAs). So far, the role of lncRNA in DMD pathogenesis remains unclear. In the current study, expression profile from a total of 33 DMD patients and 12 healthy people were downloaded from Gene Expression Omnibus (GEO) database (GSE38417 and GSE109178). Differentially expressed (DE) lncRNAs were discovered and targeted mRNAs were predicted. The ceRNA network of lncRNAs—miRNAs—mRNAs was then constructed. Genome Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the putative mRNAs in the ceRNA network were performed through Database for Annotation, Visualization and Integration Discovery (DAVID) website. Topological property of the network was analyzed using Cytoscape to disclose the hub lncRNAs. According to our assessments, 19 common DElncRNAs and 846 common DEmRNAs were identified in DMD compared to controls. The created ceRNA network contained 6 lncRNA nodes, 69 mRNA nodes, 27 miRNA nodes and 102 edges, while four hub lncRNAs (XIST, AL132709, LINC00310, ALDH1L1-AS2) were uncovered. In conclusion, our latest bioinformatic analysis demonstrated that lncRNA is likely involved in DMD. This work highlights the importance of lncRNA and provides new insights for exploring the molecular mechanism of DMD.
Graphic abstract
The created ceRNA network contained 6 lncRNA nodes, 69 mRNA nodes, 27 miRNA nodes and 102 edges, while four hub lncRNAs (XIST, AL132709, LINC00310, ALDH1L1-AS2) were uncovered. Remarkably, KEGG analysis indicated that targeted mRNAs in the network were mainly enriched in “microRNAs in cancer” and “proteoglycans in cancer”. Our study may offer novel perspectives on the pathogenesis of DMD from the point of lncRNAs. This work might be also conducive for exploring the molecular mechanism of increased incidence of tumorigenesis reported in DMD patients and experimental models.
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References
Sun C, Serra C, Lee G, Wagner KR (2020) Stem cell-based therapies for Duchenne muscular dystrophy. Exp Neurol 323:113086. https://doi.org/10.1016/j.expneurol.2019.113086
Anand A, Tyagi R, Mohanty M, Goyal M, Silva KRDD, Wijekoon N (2015) Dystrophin induced cognitive impairment: mechanisms, models and therapeutic strategies. Ann Neurosci 22(2):108–118. https://doi.org/10.5214/ans.0972.7531.221210
Verhaart IEC, Aartsma-Rus A (2019) Therapeutic developments for Duchenne muscular dystrophy. Nat Rev Neurol 15(7):373–386. https://doi.org/10.1038/s41582-019-0203-3
Haslett JN, Sanoudou D, Kho AT, Bennett RR, Greenberg SA, Kohane IS, Beggs AH, Kunkel LM (2002) Gene expression comparison of biopsies from Duchenne muscular dystrophy (DMD) and normal skeletal muscle. Proc Natl Acad Sci U S A 99(23):15000–15005. https://doi.org/10.1073/pnas.192571199
Boscolo Sesillo F, Fox D, Sacco A (2019) Muscle stem cells give rise to rhabdomyosarcomas in a severe mouse model of duchenne muscular dystrophy. Cell Rep 26(3):689–701e686. https://doi.org/10.1016/j.celrep.2018.12.089
Hosur V, Kavirayani A, Riefler J, Carney LM, Lyons B, Gott B, Cox GA, Shultz LD (2012) Dystrophin and dysferlin double mutant mice: a novel model for rhabdomyosarcoma. Cancer Genet 205(5):232–241. https://doi.org/10.1016/j.cancergen.2012.03.005
Fathizadeh H, Hayat SMG, Dao S, Ganbarov K, Tanomand A, Asgharzadeh M, Kafil HS (2020) Long non-coding RNA molecules in tuberculosis. Int J Biol Macromol 156:340–346. https://doi.org/10.1016/j.ijbiomac.2020.04.030
Salmena L, Poliseno L, Tay Y, Kats L, Pandolfi PP (2011) A ceRNA hypothesis: the Rosetta Stone of a hidden RNA language? Cell 146(3):353–358. https://doi.org/10.1016/j.cell.2011.07.014
Wang W, Lou W, Ding B, Yang B, Lu H, Kong Q, Fan W (2019) A novel mRNA-miRNA-lncRNA competing endogenous RNA triple sub-network associated with prognosis of pancreatic cancer. Aging (Albany NY) 11(9):2610–2627. https://doi.org/10.18632/aging.101933
Zhou M, Lu B, Tan W, Fu M (2020) Identification of lncRNA-miRNA-mRNA regulatory network associated with primary open angle glaucoma. BMC Ophthalmol 20(1):104. https://doi.org/10.1186/s12886-020-01365-5
Jung HJ, Kim H-J, Park K-K (2020) Potential roles of long noncoding RNAs as therapeutic targets in renal fibrosis. Int J Mol Sci 21(8):2698. https://doi.org/10.3390/ijms21082698
Zhong XL, Wang L, Yan X, Yang XK, Xiu H, Zhao M, Wang XN, Liu JX (2020) MiR-20a acted as a ceRNA of lncRNA PTENPL and promoted bladder cancer cell proliferation and migration by regulating PDCD4. Eur Rev Med Pharmacol Sci 24(6):2955–2964. https://doi.org/10.26355/eurrev_202003_20660
Liu Z, Wang X, Yang G, Zhong C, Zhang R, Ye J, Zhong Y, Hu J, Ozal B, Zhao S (2020) Construction of lncRNA-associated ceRNA networks to identify prognostic lncRNA biomarkers for glioblastoma. J Cell Biochem 121(7):3502–3515. https://doi.org/10.1002/jcb.29625
Chi LM, Wang LP, Jiao D (2019) Identification of differentially expressed genes and long noncoding RNAs associated with Parkinson's disease. Parkinsons Dis 2019:6078251. https://doi.org/10.1155/2019/6078251
Ma N, Tie C, Yu B, Zhang W, Wan J (2020) Identifying lncRNA-miRNA-mRNA networks to investigate Alzheimer's disease pathogenesis and therapy strategy. Aging (Albany NY) 12(3):2897–2920. https://doi.org/10.18632/aging.102785
Wang L, Cho KB, Li Y, Tao G, Xie Z, Guo B (2019) Long noncoding RNA (lncRNA)-mediated competing endogenous RNA networks provide novel potential biomarkers and therapeutic targets for colorectal cancer. Int J Mol Sci. https://doi.org/10.3390/ijms20225758
Cesana M, Cacchiarelli D, Legnini I, Santini T, Sthandier O, Chinappi M, Tramontano A, Bozzoni I (2011) A long noncoding RNA controls muscle differentiation by functioning as a competing endogenous RNA. Cell 147(2):358–369. https://doi.org/10.1016/j.cell.2011.09.028
Bovolenta M, Erriquez D, Valli E, Brioschi S, Scotton C, Neri M, Falzarano MS, Gherardi S, Fabris M, Rimessi P, Gualandi F, Perini G, Ferlini A (2012) The DMD locus harbors multiple long non-coding RNAs which orchestrate and control transcription of muscle dystrophin mRNA isoforms. PLoS ONE 7(9):e45328. https://doi.org/10.1371/journal.pone.0045328
Zhang X, Sun S, Pu JK, Tsang AC, Lee D, Man VO, Lui WM, Wong ST, Leung GK (2012) Long non-coding RNA expression profiles predict clinical phenotypes in glioma. Neurobiol Dis 48(1):1–8. https://doi.org/10.1016/j.nbd.2012.06.004
Kohl M, Wiese S, Warscheid B (2011) Cytoscape: software for visualization and analysis of biological networks. Methods Mol Biol 696:291–303. https://doi.org/10.1007/978-1-60761-987-1_18
Geisler S, Coller J (2013) RNA in unexpected places: long non-coding RNA functions in diverse cellular contexts. Nat Rev Mol Cell Biol 14(11):699–712. https://doi.org/10.1038/nrm3679
Dey BK, Pfeifer K, Dutta A (2014) The H19 long noncoding RNA gives rise to microRNAs miR-675-3p and miR-675-5p to promote skeletal muscle differentiation and regeneration. Genes Dev 28(5):491–501. https://doi.org/10.1101/gad.234419.113
Caretti G, Schiltz RL, Dilworth FJ, Di Padova M, Zhao P, Ogryzko V, Fuller-Pace FV, Hoffman EP, Tapscott SJ, Sartorelli V (2006) The RNA helicases p68/p72 and the noncoding RNA SRA are coregulators of MyoD and skeletal muscle differentiation. Dev Cell 11(4):547–560. https://doi.org/10.1016/j.devcel.2006.08.003
Twayana S, Legnini I, Cesana M, Cacchiarelli D, Morlando M, Bozzoni I (2013) Biogenesis and function of non-coding RNAs in muscle differentiation and in Duchenne muscular dystrophy. Biochem Soc Trans 41(4):844–849. https://doi.org/10.1042/BST20120353
Loda A, Heard E (2019) Xist RNA in action: Past, present, and future. PLoS Genet 15(9):e1008333. https://doi.org/10.1371/journal.pgen.1008333
Creamer KM, Lawrence JB (2017) XIST RNA: a window into the broader role of RNA in nuclear chromosome architecture. Philos Trans R Soc Lond B Biol Sci. https://doi.org/10.1098/rstb.2016.0360
Viggiano E, Ergoli M, Picillo E, Politano L (2016) Determining the role of skewed X-chromosome inactivation in developing muscle symptoms in carriers of Duchenne muscular dystrophy. Hum Genet 135(7):685–698. https://doi.org/10.1007/s00439-016-1666-6
Eisen B, Ben Jehuda R, Cuttitta AJ, Mekies LN, Shemer Y, Baskin P, Reiter I, Willi L, Freimark D, Gherghiceanu M, Monserrat L, Scherr M, Hilfiker-Kleiner D, Arad M, Michele DE, Binah O (2019) Electrophysiological abnormalities in induced pluripotent stem cell-derived cardiomyocytes generated from Duchenne muscular dystrophy patients. J Cell Mol Med 23(3):2125–2135. https://doi.org/10.1111/jcmm.14124
Han J, Shen X (2020) Long noncoding RNAs in osteosarcoma via various signaling pathways. J Clin Lab Anal. https://doi.org/10.1002/jcla.23317
Li J, Peng W, Du L, Yang Q, Wang C, Mo YY (2018) The oncogenic potentials and diagnostic significance of long non-coding RNA LINC00310 in breast cancer. J Cell Mol Med 22(9):4486–4495. https://doi.org/10.1111/jcmm.13750
Patel KD, Vora HH, Trivedi TI, Patel JB, Pandya SJ, Jetly DH, Patel PS (2020) Transcriptome profiling and pathway analysis in squamous cell carcinoma of buccal mucosa. Exp Mol Pathol 113:104378. https://doi.org/10.1016/j.yexmp.2020.104378
Zhang Y, Zhang Y (2020) lncRNA ZFAS1 improves neuronal injury and inhibits inflammation, oxidative stress, and apoptosis by sponging miR-582 and upregulating NOS3 expression in cerebral ischemia/reperfusion injury. Inflammation. https://doi.org/10.1007/s10753-020-01212-1
Deng RY, Hong T, Li CY, Shi CL, Liu C, Jiang FY, Li J, Fan XM, Feng SB, Wang YF (2019) Long non-coding RNA zinc finger antisense 1 expression associates with increased disease risk, elevated disease severity and higher inflammatory cytokines levels in patients with lumbar disc degeneration. Medicine (Baltimore) 98(52):e18465. https://doi.org/10.1097/md.0000000000018465
Perry MM, Muntoni F (2016) Noncoding RNAs and Duchenne muscular dystrophy. Epigenomics 8(11):1527–1537. https://doi.org/10.2217/epi-2016-0088
Hrach HC, Mangone M (2019) miRNA profiling for early detection and treatment of duchenne muscular dystrophy. Int J Mol Sci 20(18):4638. https://doi.org/10.3390/ijms20184638
Anaya-Segura MA, Rangel-Villalobos H, Martínez-Cortés G, Gómez-Díaz B, Coral-Vázquez RM, Zamora-González EO, García S, López-Hernández LB (2016) Serum levels of microRNA-206 and novel mini-STR assays for carrier detection in duchenne muscular dystrophy. Int J Mol Sci. https://doi.org/10.3390/ijms17081334
Goyenvalle A, Babbs A, Wright J, Wilkins V, Powell D, Garcia L, Davies KE (2012) Rescue of severely affected dystrophin/utrophin-deficient mice through scAAV-U7snRNA-mediated exon skipping. Hum Mol Genet 21(11):2559–2571. https://doi.org/10.1093/hmg/dds082
Jeanson-Leh L, Lameth J, Krimi S, Buisset J, Amor F, Le Guiner C, Barthélémy I, Servais L, Blot S, Voit T, Israeli D (2014) Serum profiling identifies novel muscle miRNA and cardiomyopathy-related miRNA biomarkers in Golden Retriever muscular dystrophy dogs and Duchenne muscular dystrophy patients. Am J Pathol 184(11):2885–2898. https://doi.org/10.1016/j.ajpath.2014.07.021
Mizuno H, Nakamura A, Aoki Y, Ito N, Kishi S, Yamamoto K, Sekiguchi M, Takeda S, Hashido K (2011) Identification of muscle-specific microRNAs in serum of muscular dystrophy animal models: promising novel blood-based markers for muscular dystrophy. PLoS ONE 6(3):e18388. https://doi.org/10.1371/journal.pone.0018388
Chen R, Xin G, Zhang X (2019) Long non-coding RNA HCP5 serves as a ceRNA sponging miR-17-5p and miR-27a/b to regulate the pathogenesis of childhood obesity via the MAPK signaling pathway. J Pediatr Endocrinol Metab 32(12):1327–1339. https://doi.org/10.1515/jpem-2018-0432
Dhawan A, Scott JG, Harris AL, Buffa FM (2018) Pan-cancer characterisation of microRNA across cancer hallmarks reveals microRNA-mediated downregulation of tumour suppressors. Nat Commun 9(1):5228. https://doi.org/10.1038/s41467-018-07657-1
Angerstein C, Hecker M, Paap BK, Koczan D, Thamilarasan M, Thiesen HJ, Zettl UK (2012) Integration of MicroRNA databases to study MicroRNAs associated with multiple sclerosis. Mol Neurobiol 45(3):520–535. https://doi.org/10.1007/s12035-012-8270-0
Kim JE, Hong JW, Lee HS, Kim W, Lim J, Cho YS, Kwon HJ (2018) Hsa-miR-10a-5p downregulation in mutant UQCRB-expressing cells promotes the cholesterol biosynthesis pathway. Sci Rep 8(1):12407. https://doi.org/10.1038/s41598-018-30530-6
Tomasetti C, Vogelstein B (2015) Cancer etiology Variation in cancer risk among tissues can be explained by the number of stem cell divisions. Science 347(6217):78–81. https://doi.org/10.1126/science.1260825
Parlakian A, Gomaa I, Solly S, Arandel L, Mahale A, Born G, Marazzi G, Sassoon D (2010) Skeletal muscle phenotypically converts and selectively inhibits metastatic cells in mice. PLoS ONE 5(2):e9299. https://doi.org/10.1371/journal.pone.0009299
Büget M, Eren İ, Küçükay S (2014) Regional anaesthesia in a Duchenne muscular dystrophy patient for upper extremity amputation. Agri 26(4):191–195. https://doi.org/10.5505/agri.2014.34713
Jakab Z, Szegedi I, Balogh E, Kiss C, Oláh E (2002) Duchenne muscular dystrophy-rhabdomyosarcoma, ichthyosis vulgaris/acute monoblastic leukemia: association of rare genetic disorders and childhood malignant diseases. Med Pediatr Oncol 39(1):66–68. https://doi.org/10.1002/mpo.10043
Saldanha RM, Gasparini JR, Silva LS, de Carli RR, de Castilhos VU, das Neves MM, Araújo FP, Sales PC, das Neves JF (2005) Anesthesia for Duchenne muscular dystrophy patients: case reports. Rev Bras Anestesiol 55(4):445–449. https://doi.org/10.1590/s0034-70942005000400009
Chamberlain JS, Metzger J, Reyes M, Townsend D, Faulkner JA (2007) Dystrophin-deficient mdx mice display a reduced life span and are susceptible to spontaneous rhabdomyosarcoma. FASEB J 21(9):2195–2204. https://doi.org/10.1096/fj.06-7353com
Vita GL, Polito F, Oteri R, Arrigo R, Ciranni AM, Musumeci O, Messina S, Rodolico C, Di Giorgio RM, Vita G, Aguennouz M (2018) Hippo signaling pathway is altered in Duchenne muscular dystrophy. PLoS ONE 13(10):e0205514. https://doi.org/10.1371/journal.pone.0205514
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This work was kindly supported by National Natural Science Foundation of China (81601129) and Science Foundation of Shenyang (F16-205-1-48).
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Xu, X., Hao, Y., Xiong, S. et al. Comprehensive Analysis of Long Non-coding RNA-Associated Competing Endogenous RNA Network in Duchenne Muscular Dystrophy. Interdiscip Sci Comput Life Sci 12, 447–460 (2020). https://doi.org/10.1007/s12539-020-00388-2
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DOI: https://doi.org/10.1007/s12539-020-00388-2