Long noncoding RNA KCNQ1OT1 promotes proliferation and epithelial‑mesenchymal transition by regulation of SMAD4 expression in lens epithelial cells

Chen, Bin; Ma, Jian; Li, Chunwei; Wang, Yong

doi:10.3892/mmr.2018.8987

Cited by 24 publications

(26 citation statements)

References 33 publications

(36 reference statements)

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“…LncRNA from KCNQ1OT1 gene has been reported as regulating imprinting of target genes at the 11p15.5 locus; and it might inhibit tumor development and/or progression in many cancers (W. Gong et al, ; B. Guo, Zhang, Wang, Chang, & Tao, ). A recent study shows that KCNQ1OT1 could promote cataract formation (Chen et al, ; Jin et al, ). However, the bio‐functions of KCNQ1OT1 in DR remain unknown.…”

Section: Discussionmentioning

confidence: 99%

KCNQ1OT1 affects the progression of diabetic retinopathy by regulating miR‐1470 and epidermal growth factor receptor

Shao

Yin

Fan

et al. 2019

Journal Cellular Physiology

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Long noncoding RNAs have been reported to play important roles in the pathogenesis of diabetic retinopathy (DR), which has been considered as the most common disease leading to vision loss. However, it is still unclear whether KCNQ1 overlapping transcript 1 (KCNQ1OT1) could affect DR. In this study, regarding quantitative reverse transcription polymerase chain reaction assay, KCNQ1OT1 level was upregulated while microRNA‐1470 (miR‐1470) was decreased in DR patients and human retinal endothelial cells. High KCNQ1OT1 expression was correlated with DR stage and low visual function. Using miR‐1470 mimic or knockdown of KCNQ1OT1 could lead to the similar phenomenon; phospho‐AKT, Bax, B‐cell lymphoma 2, and cleaved poly‐ADP ribose polymerase (PARP) were regulated, while vascularization was inhibited and apoptosis was promoted. Regarding bioinformatics analysis and in vitro dual luciferase reporter assay, there should be a negative correlation between KCNQ1OT1 and miR‐1470. Additionally, mRNA of epidermal growth factor receptor (EGFR) was proved as the target of miR‐1470 and EGFR targeting by miR‐1470 initiated KCNQ1OT1 deficiency‐induced apoptosis and promoted proliferation. KCNQ1OT1 and miR‐1470 were proved to be the promoter and repressor of EGFR, respectively. The results suggested that KCNQ1OT1 could sponge miR‐1470 and further regulate EGFR in DR.

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Section: Discussionmentioning

confidence: 99%

KCNQ1OT1 affects the progression of diabetic retinopathy by regulating miR‐1470 and epidermal growth factor receptor

Shao

Yin

Fan

et al. 2019

Journal Cellular Physiology

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“…LncRNAs also shown to regulate gene expression by interacting with a diverse range of proteins. As an example, the elevated KCNQ1OT1 positively regulated SMAD4 expression to promote LEC proliferation and EMT in PCO [31]. LncFEZF1-AS1 promoted the proliferation and migration via upregulating FEZF1 expression in PCO [39].…”

Section: The Expression and Function Of Lncrnas In The Cataractmentioning

confidence: 97%

“…Emerging studies reveal that the dysregulation of lncRNAs are impact the development and progression of cataract [31] [32] [33] [34] [35]. Compared with transparent lenses, KCNQ1OT1, TUG1, and H19 has identified to have signifi-cantly increased expression in age-related cataract [36] [37] [38].…”

Section: The Expression and Function Of Lncrnas In The Cataractmentioning

confidence: 99%

The Emerging Roles of Non-Coding RNAs in Cataract

Li¹,

Lei²,

Wang³

et al. 2020

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Non-coding RNAs (ncRNAs) are a large class of transcripts lacking evident protein coding potential, and play versatile roles in a diverse range of physiological and pathological processes. Mounting evidences have indicated that ncRNAs are aberrantly expressed in a wealth of diseases such as cataract. Cataract is a cloudy lens caused by radiation, age, drugs and other factors. NcRNAs, including microRNAs, long non-coding RNAs, circular RNAs, have been identified to regulate the occurrence and development of cataract. Current studies indicate that ncRNAs exert the multifaceted functions in the lens of cataract patients and have been proved as potential diagnostic biomarkers or therapeutic targets for cataracts. This review summarizes the study of relationship between the lens and ncRNAs, which can provide a novel insight into the pathogenesis of cataract.

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“…Cyclum performed the best in this analysis (Figure 4a and Additional file 1, Table S2), even on samples that reportedly had few cycling cells (e.g., Mel79). Among the novel cell-cycling genes nominated by Cyclum (Additional file 1, Table S2, Figure S3, and S4), KCNQ1OT1 and FBLIM1 (Additional file 1, Figure S3, and Table S3) have recently been shown in the literature to be related to proliferation and tumorigenesis [21][22][23][24][25][26].…”

Section: Application Of Cyclum On the Melanoma Datamentioning

confidence: 99%

Latent periodic process inference from single-cell RNA-seq data

Liang

Wang

Han

et al. 2019

Preprint

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Convoluted biological processes underlie the development of multicellular organisms and diseases. Advances in scRNA-seq make it possible to study these processes from cells at various developmental stages. Achieving accurate characterization is challenging, however, particularly for periodic processes, such as cell cycles. To address this, we developed Cyclum, a novel AutoEncoder approach that characterizes circular trajectories in the high-dimensional gene expression space. Cyclum substantially improves the accuracy and robustness of cell-cycle characterization beyond existing approaches. Applying Cyclum to removing cell-cycle effects leads to substantially improved delineations of cell subpopulations, which is useful for establishing various cell atlases and studying tumor heterogeneity. Cyclum is available at https://github.com/KChen-lab/cyclum. BackgroundConvoluted biological processes, which involve cell proliferation, differentiation, state transition, and cell-to-cell communication [1,2]. The course of development can be influenced by genetic (e.g., mutations), epigenetic, and environmental factors. Alterations to the genome, transcriptome, and proteome of individual cells also can result in pathogeneses [3]. Early efforts have been made to reconstruct the temporal ordering of biological samples using bulk data [4,5], although challenges associated with cellular heterogeneity make it difficult to infer accurate time series. Advances in single-cell RNA sequencing (scRNA-seq) enabled large-scale acquisition of singlecell transcriptomic profiles and provided an unprecedented opportunity to uncover latent biological processes that orchestrate dynamic expression of genes in single cells throughout the course of the development [6]. However, it is very challenging to deconvolute these processes from scRNA-seq data accurately. A sufficiently large number of cells across time, lineage, and space need to be sampled in order to capture detailed sub-populational features and reduce technological noise. Tremendous efforts have been made to develop trajectory inference methods from scRNA-seq data. Over 59 methods have been developed since 2014 [7], including the widely known Monocle and Wanderlust. These methods represent biological processes in linear, bifurcating, or other graph topologies.In many developmental processes, such as embryogenesis, organogenesis, and tumorigenesis [8], cell cycle plays a fundamental role. Distinct from processes that evoke linear changes in gene expression, cell cycle causes periodicity. A cycle starts from the G1 phase, goes through S and G2/M, and then returns to G1 within 24-hours for human cells [2]. This process is orchestrated elegantly by variable sets of genes (e.g., cyclins and cyclin-dependent kinases) that are turned on and off at relatively precise timings. As a result of such periodicity, the cycling cells at different transcriptomic states form a circular, non-linear trajectory in high-dimensional gene expression spaces. The positions of a cell alongside the circular trajec...

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Long noncoding RNA KCNQ1OT1 promotes proliferation and epithelial‑mesenchymal transition by regulation of SMAD4 expression in lens epithelial cells

Cited by 24 publications

References 33 publications

KCNQ1OT1 affects the progression of diabetic retinopathy by regulating miR‐1470 and epidermal growth factor receptor

KCNQ1OT1 affects the progression of diabetic retinopathy by regulating miR‐1470 and epidermal growth factor receptor

The Emerging Roles of Non-Coding RNAs in Cataract

Latent periodic process inference from single-cell RNA-seq data

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