A to I editing of the 3'-UTR landscape regulates gene translation during retinal development
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE104884 | GEO | 2023/10/01
REPOSITORIES: GEO
Similar Datasets
Project description:A-to-I editing, as a post-transcriptional modification process mediated by ADAR, plays a crucial role in many biological process in metazoans.The study of RNA editing in mouse early embryonic development can understand the dynamic changes of RNA editing during mouse early embryonic development, and further reveal the role of RNA editing in mouse early embryo development.We found that as embryonic developing, RNA editome in mice is getting more and more. Besides, RNA editome in mouse embryonic development is stage specified.
2018-11-28 | GSE123012 | GEO
Project description:Placental Editome Profiling Reveals Widespread RNA-Editing Dysregulation in Preeclampsia
| PRJNA623568 | ENA
Project description:Dysregulated RNA editing is well documented in several diseases such as cancer. The extent to which RNA editing might be involved in diseases originated in the placenta such as preeclampsia remains unknown, because RNA editing has rarely been studied in the placenta. Here, the RNA editome is systematically profiled on placentae from 9 patients with early-onset severe preeclampsia (EOSPE) and 32 normal controls, and a widespread RNA editing dysregulation in EOSPE has been identified. The mis-edited gene set is enriched with known preeclampsia-associated genes and differentially expressed genes in EOSPE. The “RNA editing events” at two microRNA binding sites in 3’-UTR of the LEP mRNA have been generated, which leads to increased expression level of LEP in trophoblast cells. Upregulation of LEP is also observed in the placentae of PE patients. These results suggest that widespread placental RNA editing may be involved in placental development and dysregulation of RNA editing in the placenta may contribute to the pathogenesis of preeclampsia.
2020-04-20 | GSE148241 | GEO
Project description:While the next generation sequencing technology is accelerating the discovery of sites in RNA editing, the strategies to accurately identify the editome, the mechanism by which its profile is maintained and its functional significance remain controversial. Here, 90bp × 2, paired-end, strand-specific, polyA-postive RNA-Seq were performed in 3 rhesus monkey tissues, and 90bp × 2, paired-end, whole exome sequencing was performed in blood cells. Combining genome-wide identification and other quality control in multiple tissues from the same individual, we identified a list of editing sites in coding regions from the rhesus macaque, one of our closest evolutionary relatives. Low-scale verification validated all of these sites and the corresponding levels of editing. The editome in macaque coding region suggests RNA editing as a type of controlled, conserved regulation shaped by purifying selection. This submission represents RNA-Seq: cerebellum, lung, kidney and heart component of study.
2014-03-03 | E-GEOD-42857 | biostudies-arrayexpress
Project description:Adenosine-to-inosine (A-to-I) RNA editing plays a vital role in many biological processes. Our previous study has demonstrated that the hematopoietic stem and progenitor cells (HSPCs) deficient in RNA editing cannot reconstitute the irradiated recipients in vivo. However, the overall profile of RNA editome in hematopoiesis has not been established and the underlying mechanism is poorly understood. Here, we sorted 12 murine adult hematopoietic cell populations, and performed deep RNA and DNA sequencing. We depicted the first landscape of RNA editing in hematopoietic cells and identified 30,796 editing sites in total. Although total editing frequency was stable across the 12 hematopoietic populations, we identified stage-specific and group-specific editing genes, and uncovered multiple famous hematopoietic regulators were dynamically edited. By charactering group specific editing genes, we found that the Azin1 (antizyme inhibitor 1) was highly edited in HSPCs, which was required for HSPCs differentiation. A-to-I editing of Azin1 transcript resulted in serine-to-glycine substitution at residue 367 of AZIN1, induced its translocation from cytoplasm to nucleus, enabled its higher binding affinity with DDX1 (DEAD box polypeptide 1) in nucleus further to alter the chromatin distribution of DDX1, resulting in multiple hematopoietic regulators expression change. Collectively, this study provided the first landscape of RNA editing in hematopoietic cascade and uncovered the mechanism of A-to-I editing of Azin1 in regulating HSPCs function.
2020-09-29 | GSE142216 | GEO
Project description:Adenosine-to-inosine (A-to-I) RNA editing entails the enzymatic deamination of adenosines to inosines by adenosine deaminases acting on RNA (ADARs). Dysregulated A-to-I editing has been implicated in various diseases, including cancers. However, the precise factors governing the A-to-I editing and their physiopathological implications remain as a long-standing question. Herein, we unravel that DEAH box helicase 9 (DHX9), at least partially dependent of its helicase activity, functions as a bidirectional regulator of A-to-I editing in cancer cells. Intriguingly, the ADAR substrate specificity determines the opposing effects of DHX9 on editing as DHX9 silencing preferentially represses editing of ADAR1-specific substrates, whereas augments ADAR2-specific substrate editing. Analysis of 11 cancer types from The Cancer Genome Atlas (TCGA) reveals a striking overexpression of DHX9 in tumors. Further, tumorigenicity studies demonstrate a helicase-dependent oncogenic role of DHX9 in cancer development. In sum, DHX9 constitutes a bidirectional regulatory mode in A-to-I editing, which is in part responsible for the dysregulated editome profile in cancer.
2018-05-31 | GSE99789 | GEO
Project description:RNA editing enhances the diversity of gene products at the post-transcriptional level. Approaches for genome-wide identification of RNA editing face two main challenges: separating true editing sites from false discoveries and accurate estimation of editing levels. We developed an approach to analyze transcriptome sequencing data (RNA-Seq) for global identification of RNA editing in cells for which whole-genome sequencing data are available. We applied the method to analyze RNA-Seq data of a human glioblastoma cell line, U87MG. Around 10,000 DNA-RNA differences were identified, the majority being putative A-to-I editing sites. These predicted A-to-I events were associated with a low false discovery rate (~5%). Moreover, the estimated editing levels from RNA-Seq correlated well with those based on traditional clonal sequencing. Our results further facilitated unbiased characterization of the sequence and evolutionary features flanking predicted A-to-I editing sites and discovery of a conserved RNA structural motif that may be functionally relevant to editing. Genes with predicted A-to-I editing were significantly enriched with those known to be involved in cancer, supporting the potential importance of cancer-specific RNA editing. A similar profile of DNA-RNA differences as in U87MG was predicted for another RNA-Seq data set obtained from primary breast cancer samples. Remarkably, significant overlap exists between the putative editing sites of the two transcriptomes despite their difference in cell type, cancer type and genomic backgrounds. Our approach enabled de novo identification of the RNA editome, which sets the stage for further mechanistic studies of this important step of post-transcriptional regulation.
2011-09-21 | GSE28040 | GEO
Project description:Retinal microvascularization can provide important informations to systemic vascular phenomena. The non-invasive quantitative description of the retinal vascularization is now possible by performing OCT-angiography and their image analysis software (vascular density and retinal perfusion). Systemic microvacular changes during the establishment of oncological treatment by targeted antiangiogenic therapy are little described in the literature. The objective of this pilot study is to describe the evolution of the retinal vascular density of patients with antiangiogenic drugs. In addition, the evolution of the retinal vascular density of patients on antiangiogenic drugs will study as a function of the response to the treatment and the toxicity of these treatments.
| 2382594 | ecrin-mdr-crc
Project description:RNA editing introduces nucleotide changes in RNA sequences. Recent studies have reported that aberrant A-to-I RNA editing profiles are implicated in cancers. Albeit changes in expression and activity of ADAR genes are thought to have been responsible for the dysregulated RNA editome in diseases, they are not always correlated, indicating the involvement of secondary regulators. Here, we uncover DAP3 as a potent repressor of editing and a strong oncogene in cancer. DAP3 mainly interacts with the deaminase domain of ADAR2 and represses editing via disrupting association of ADAR2 with its target transcripts. PDZD7, an exemplary DAP3-repressed editing target, undergoes a protein recoding editing at stop codon [Stop →Trp (W)]. Because of editing suppression by DAP3, the unedited PDZD7WT, which is more tumorigenic than edited PDZD7Stop518W, is accumulated in tumors. In sum, cancer cells may acquire malignant properties for their survival advantage through suppressing RNA editome by DAP3.
2020-06-23 | GSE123020 | GEO
Project description:A-to-I editing, as a post-transcriptional modification process mediated by ADAR, plays a crucial role in many biological process in metazoans. However, how and to what extent that A-to-I editing diversifies and shapes the population diversity at the RNA level is largely unknown. We employed 462 mRNA-sequencing data from five populations of the Geuvadis Project and identified 16,518 A-to-I editing sites, forming a landscape of RNA editome of the human genome. By exploration of RNA editing within and between populations, we discovered non-adaption of nonsynonymous editing in the evolution, and revealed geographic restriction of rare editing sites. Moreover, we showed that RNA editing can characterize the subtle but substantial divergence between different populations, especially those from different continents. Altogether, we demonstrated RNA editing can well depict the nature and structure of populations at RNA level, which provides insights into the process of how A-to-I editing shapes population diversity at transcriptomic level. Our work will facilitate the understanding of the landscape of RNA editome at population-scale, and be helpful to interpret difference in the distribution and prevalence of disease among individuals and across populations.
2017-08-31 | GSE103294 | GEO