Non-coding RNA in neural function, disease, and aging

Szafranski, Kirk; Abraham, Karan Joshua; Mekhail, Karim

doi:10.3389/fgene.2015.00087

Cited by 77 publications

(54 citation statements)

References 140 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…35 Many studies led to preliminary hypotheses about the involvement of lncRNAs in diverse biological processes, such as stem-cell pluripotency and cell-cycle regulation. 9,36 In particular, previous studies had observed a group of lncRNAs that are strongly associated with the p53 transcriptional pathway which is an important tumor-suppressor gene involved in maintaining genomic integrity. 37 However, studies on the application of lncRNA to predict the survival of MM patients were in deficiency.…”

Section: Discussionmentioning

confidence: 99%

Potential prognostic long non-coding RNA identification and their validation in predicting survival of patients with multiple myeloma

Huang

Zhang

et al. 2017

Tumour Biol.

View full text Add to dashboard Cite

Multiple myeloma, a typical hematological malignancy, is characterized by malignant proliferation of plasma cells. This study was to identify differently expressed long non-coding RNAs to predict the survival of patients with multiple myeloma efficiently. Gene expressing profiles of diagnosed patients with multiple myeloma, GSE24080 (559 samples) and GSE57317 (55 samples), were downloaded from Gene Expression Omnibus database. After processing, survival-related long non-coding RNAs were identified by Cox regression analysis. The prognosis of multiple myeloma patients with differently expressed long non-coding RNAs was predicted by Kaplan-Meier analysis. Meanwhile, stratified analysis was performed based on the concentrations of serum beta 2-microglobulin (S-beta 2m), albumin, and lactate dehydrogenase of multiple myeloma patients. Gene set enrichment analysis was performed to further explore the functions of identified long non-coding RNAs. A total of 176 long non-coding RNAs significantly related to the survival of multiple myeloma patients (p < 0.05) were identified. In dataset GSE24080 and GSE57317, there were 558 and 55 patients being clustered into two groups with significant differences, respectively. Stratified analysis indicated that prediction of the prognoses with these long non-coding RNAs was independent from other clinical phenotype of multiple myeloma. Gene set enrichment analysis-identified pathways of cell cycle, focal adhesion, and G2-M checkpoint were associated with these long noncoding RNAs. A total of 176 long non-coding RNAs, especially RP1-286D6.1, AC008875.2, MTMR9L, AC069360.2, and AL512791.1, were potential biomarkers to evaluate the prognosis of multiple myeloma patients. These long non-coding RNAs participated indispensably in many pathways associated to the development of multiple myeloma; however, the molecular mechanisms need to be further studied.

show abstract

Section: Discussionmentioning

confidence: 99%

Potential prognostic long non-coding RNA identification and their validation in predicting survival of patients with multiple myeloma

Huang

Zhang

et al. 2017

Tumour Biol.

View full text Add to dashboard Cite

show abstract

“…4,10 Therefore, dysfunction of RNA metabolism is hence considered as another important factor important for neurodegenerative disease etiology. 11,12 Although mRNAs are mainly translated in the cytoplasm (either in free or endoplasmic reticulum-associated ribosomes), some neuronal mRNAs are locally translated in distal compartments including dendrites and synapses. 13,14 Proper transport and translation of those mRNAs dictates synaptic or dendritic content, affects neuronal activity and plasticity and is essential for adaptive responses to different stimuli.…”

mentioning

confidence: 99%

CircRNAs in the brain

2016

View full text Add to dashboard Cite

Circular RNAs (circRNAs) are highly abundant and evolutionarily conserved non-coding RNAs produced by circularization of specific exons. Since their re-discovery as potential regulators of gene expression, thousands of circRNAs were detected in different tissues and cell types across most organisms. Accumulating data suggest key roles for them in the central nervous system. Neuronal-expressed RNAs are diverted to yield highly enriched CircRNAs in human, mouse, pig and flies, with many of them enriched in neuronal tissues. CircRNA levels are dynamically modulated in neurons, both during differentiation and following bursts of electrical activity, and accumulate with age, and many of them are enriched in synapses. Together, available data suggest that circRNAs have important roles in synaptic plasticity and neuronal function. This review covers current advances in the field and lays out hypotheses regarding functions of circRNAs in the brain as well as their putative involvement in initiation and progression of neurodegenerative processes.

show abstract

“…To date, however, the impact of aging on the activity of these specific microRNAs has only been demonstrated for let-7 and miR-124 [60], though numerous microRNAs have been found differentially regulated in the brain of aged versus young mice [60,61]. Importantly, the impact of microRNAmediated gene regulation is not limited to healthy aging but can also correlate with neurodegenerative diseases such as AD, PD, and HD [62]. In addition, other small non-coding RNA families as well as long non-coding RNAs (lncRNAs) have been identified as important regulators of neural cells and so potentially aNSCs, and their roles in neurodegenerative disease are progressively being elucidated [62].…”

Section: Ink4amentioning

confidence: 99%

“…Importantly, the impact of microRNAmediated gene regulation is not limited to healthy aging but can also correlate with neurodegenerative diseases such as AD, PD, and HD [62]. In addition, other small non-coding RNA families as well as long non-coding RNAs (lncRNAs) have been identified as important regulators of neural cells and so potentially aNSCs, and their roles in neurodegenerative disease are progressively being elucidated [62]. For example, two recent studies have identified lncRNAs that play a role in adult neurogenesis and could have functional implications in age-related neurodegenerative diseases [63,64].…”

Section: Ink4amentioning

confidence: 99%

Modifiers of Neural Stem Cells and Aging: Pulling the Trigger of a Neurogenic Decline

Nivet

2016

Curr Stem Cell Rep

View full text Add to dashboard Cite

The adult mammalian central nervous system contains resident neural stem cells able to self-renew and to generate new neurons throughout life, as well as other neural cell types. Progressive changes in adult neural stem cells accompany the aging process, which may contribute to a progressive decline in regenerative capacities, tissue degeneration, and functional impairments. For example, accelerated and pathological declines in neural stem cell functions have been associated with age-related brain diseases. Therefore, identifying and better understanding the age-associated molecular events involved in the deterioration of adult neural stem cell homeostasis is of high interest. To date, several intrinsic and extrinsic factors have been identified as putative drivers for age-related dysfunctions in brain stem cell niches. This review aims to provide a concise overview of the age-associated changes that have been reported in mammalian adult neural stem cells as well as the underlying events able to trigger those changes.

show abstract

Non-coding RNA in neural function, disease, and aging

Cited by 77 publications

References 140 publications

Potential prognostic long non-coding RNA identification and their validation in predicting survival of patients with multiple myeloma

Potential prognostic long non-coding RNA identification and their validation in predicting survival of patients with multiple myeloma

CircRNAs in the brain

Modifiers of Neural Stem Cells and Aging: Pulling the Trigger of a Neurogenic Decline

Contact Info

Product

Resources

About