Informační systém MU
GUMEROV, Vadim a Hedvig HEGYI. MicroRNA-derived network analysis of differentially methylated genes in schizophrenia, implicating GABA receptor B1 [GABBR1] and protein kinase B [AKT1]. BIOLOGY DIRECT. LONDON: BIOMED CENTRAL LTD, 2015, roč. 10, October, s. "nestránkováno", 15 s. ISSN 1745-6150. doi:10.1186/s13062-015-0089-y.
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Základní údaje
Originální název MicroRNA-derived network analysis of differentially methylated genes in schizophrenia, implicating GABA receptor B1 [GABBR1] and protein kinase B [AKT1]
Autoři GUMEROV, Vadim (643 Rusko, domácí) a Hedvig HEGYI (348 Maďarsko, garant, domácí).
Vydání BIOLOGY DIRECT, LONDON, BIOMED CENTRAL LTD, 2015, 1745-6150.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 10600 1.6 Biological sciences
Stát vydavatele Velká Británie
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 3.016
Kód RIV RIV/00216224:14740/15:00085548
Organizační jednotka Středoevropský technologický institut
Doi http://dx.doi.org/10.1186/s13062-015-0089-y
UT WoS 000362802800001
Klíčová slova anglicky Schizophrenia; Methylation; GABBR1; AKT1; MicroRNAs; Gene networks; Protein-protein interactions
Štítky OA, rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Martina Prášilová, učo 342282. Změněno: 5. 1. 2016 12:24.
Anotace
Background: While hundreds of genes have been implicated already in the etiology of schizophrenia, the exact cause is not known or the disease is considered multigenic in origin. Recent discoveries of new types of RNAs and the gradual elimination of the "junk DNA" hypothesis refocused the attention on the noncoding part of the human genome. Here we re-analyzed a recent dataset of differentially methylated genes from schizophrenic patients and cross-tabulated them with cis regulatory and repetitive elements and microRNAs known to be involved in schizophrenia. Results: We found that the number of schizophrenia-related (SZ) microRNA targets follows a scale-free distribution with several microRNA hubs and that schizophrenia-related microRNAs with shared targets form a small-world network. The top ten microRNAs with the highest number of SZ gene targets regulate approximately 80 % of all microRNA-regulated genes whereas the top two microRNAs regulate 40-52 % of all such genes. We also found that genes that are regulated by the same microRNAs tend to have more protein-protein interactions than randomly selected schizophrenia genes. This highlights the role microRNAs possibly play in coordinating the abundance of interacting proteins, an important function that has not been sufficiently explored before. The analysis revealed that GABBR1 is regulated by both of the top two microRNAs and acts as a hub by interacting with many schizophrenia-related genes and sharing several types of transcription-binding sites with its interactors. We also found that differentially methylated repetitive elements are significantly more methylated in schizophrenia, pointing out their potential role in the disease. Conclusions: We find that GABBR1 has a central importance in schizophrenia, even if no direct cause and effect have been shown for it for the time. In addition to being a hub in microRNA-derived regulatory pathways and protein-protein interactions, its centrality is also supported by the high number of cis regulatory elements and transcription factor-binding sites that regulate its transcription. These findings are in line with several genome-wide association studies that repeatedly find the major histocompatibility region (where GABBR1 is located) to have the highest number of single nucleotide polymorphisms in schizophrenics. Our model also offers an explanation for the downregulation of protein kinase B, another consistent finding in schizophrenic patients. Our observations support the notion that microRNAs fine-tune the amount of proteins acting in the same biological pathways in schizophrenia, giving further support to the emerging theory of competing endogenous RNAs. Open Peer Review: The manuscript was reviewed by Jaap Heringa, Sandor Pongor and Zoltan Gaspari.
Návaznosti
ED1.1.00/02.0068, projekt VaVNázev: CEITEC - central european institute of technology
Zobrazeno: 13. 8. 2022 10:41