U1 snRNP regulates cancer cell migration and invasion in vitro

Oh, Jung Min; Venters, Christopher C.; Di, Chao; Pinto, Anna Maria; Wan, Lili; Younis, Ihab; Cai, Zhiqiang; Arai, Chie; So, Byung Ran; Duan, Jingqi; Dreyfuss, Gideon

doi:10.1038/s41467-019-13993-7

Cited by 8,732 publications

(4,217 citation statements)

References 60 publications

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“…snRNAs might have important functions in cancer development and progression, as well as in drug resistance [3]. For instance, U1 snRNP could regulate cancer cell migration and invasion in vitro [52]. Nonetheless, further investigation of the multiple ncRNAs whose changes exist in bronchial epitheliums would be important to understand the mechanism of field cancerization in lung carcinogenesis.…”

Section: Discussionmentioning

confidence: 99%

A Non-Coding RNA Landscape of Bronchial Epitheliums of Lung Cancer Patients

et al. 2020

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We propose to systematically identify a non-coding RNA (ncRNA) profile of exfoliated bronchial epitheliums of sputum from lung cancer patients. Bronchial epithelial cells enriched from sputum of 32 lung cancer patients and 33 cancer-free smokers were analyzed by next-generation sequencing to comprehensively characterize the ncRNA profiles. In addition, 108 miRNAs, 88 small nucleolar RNAs, 13 piwi-interacting RNAs, 6 transfer RNAs, 4 ribosomal RNAs, 19 small nuclear RNAs, and 25 long-noncoding (lnc) RNAs displayed a significantly different level in bronchial epitheliums of sputum of lung cancer patients versus cancer-free smokers (all <0.001). PCR analysis confirmed their different expression levels in the sputum specimens. A high expression of SNHG9, an lncRNA, was validated in 78 lung tumor tissues, and the expression was inversely associated with overall survival of lung cancer patients (p = 0.002). Knockdown of SNHG9 in cancer cells reduced the cell growth, proliferation, and invasion in vitro and tumorigenesis in vivo. The multiple differentially expressed ncRNAs in bronchial epitheliums may contribute to the development and progression of lung cancer and provide potential biomarkers and therapeutic targets for the disease.

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Section: Discussionmentioning

confidence: 99%

A Non-Coding RNA Landscape of Bronchial Epitheliums of Lung Cancer Patients

et al. 2020

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“…In Hubei, because the model captured most of the epidemic first wave, the predicted number and timing of deaths could be compared with later reports of SARS-CoV-2 deaths, providing some degree of external validation (S1 Text, section 4). Third, our model is stratified by age group, which has been shown as a crucial feature for modeling emerging respiratory infections [24]. Fourth, the model uses surveillance data that can be collected routinely, and it does not require individual-level data or studies in the general population.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Estimation of SARS-CoV-2 mortality during the early stages of an epidemic: A modeling study in Hubei, China, and six regions in Europe

et al. 2020

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Background As of 16 May 2020, more than 4.5 million cases and more than 300,000 deaths from disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been reported. Reliable estimates of mortality from SARS-CoV-2 infection are essential for understanding clinical prognosis, planning healthcare capacity, and epidemic forecasting. The case-fatality ratio (CFR), calculated from total numbers of reported cases and reported deaths, is the most commonly reported metric, but it can be a misleading measure of overall mortality. The objectives of this study were to (1) simulate the transmission dynamics of SARS-CoV-2 using publicly available surveillance data and (2) infer estimates of SARS-CoV-2 mortality adjusted for biases and examine the CFR, the symptomatic case-fatality ratio (sCFR), and the infection-fatality ratio (IFR) in different geographic locations. Method and findings We developed an age-stratified susceptible-exposed-infected-removed (SEIR) compartmental model describing the dynamics of transmission and mortality during the SARS-CoV-2 epidemic. Our model accounts for two biases: preferential ascertainment of severe cases and right-censoring of mortality. We fitted the transmission model to surveillance data from Hubei Province, China, and applied the same model to six regions in Europe: Austria, Bavaria (Germany), Baden-Wü rttemberg (Germany), Lombardy (Italy), Spain, and Switzerland. In Hubei, the baseline estimates were as follows: CFR 2.4% (95% credible interval [CrI] 2.1%-2.8%), sCFR 3.7% (3.2%-4.2%), and IFR 2.9% (2.4%-3.5%). Estimated measures of mortality changed over time. Across the six locations in Europe, estimates of CFR varied widely. Estimates of sCFR and IFR, adjusted for bias, were more similar to each other but still showed some degree of heterogeneity. Estimates of IFR ranged from 0.5% (95% CrI 0.4%-0.6%

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“…The results show that knockdown of lncRNA SLC8A1-AS1 leads to reduced cell proliferation in vitro, and in vivo data suggest that it is a potential molecular target for therapy. Cell migration and invasion are signi cant aspects of cancer progression [17], we found that inhibit the expression of lncRNA SLC8A1-AS1 can inhibited the migration and invasion of U87MG and LN382 cells signi cantly. EMT is a critical biological process in tumor cell migration and invasion [18].…”

Section: Discussionmentioning

confidence: 75%

Knockdown long noncoding RNA SLC8A1-AS1 attenuate cell invasion and migration in glioma via suppression of Wnt-β catenin signaling pathways

Yang

Zhu

et al. 2020

Preprint

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Background: Glioma, as the most common aggressive malignant tumor in the central nervous system, is still an insurmountable disease in neural system. The potential mechanism of its carcinogenesis remains largely unclear. Methods: In the present study, we identified dysregulated lncRNA solute carrier family 8 member A1 antisense RNA 1 (SLC8A1-AS1) as associated with glioma based on The Cancer Genome Atlas （TCGA）data. Validation experiment was conducted to confirm a high expression level of lncRNA SLC8A1-AS1 in glioma tissues. Results: Down-regulation of lncRNA SLC8A1-AS1 suppressed proliferation, clone formation, migration and invasion of glioma cells in vitro and in vivo. Moreover, lncRNA SLC8A1-AS1 silencing decreased the activity of the Wnt/β-catenin pathway and suppressed the epithelial to mesenchymal transition (EMT) in glioma cells. Conclusions: Collectively, these findings provide a novel insights into the function and mechanism of lncRNA SLC8A1-AS1 in the pathogenesis of glioma and highlight its potential as a therapeutic target for glioma intervention.

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U1 snRNP regulates cancer cell migration and invasion in vitro

Cited by 8,732 publications

References 60 publications

A Non-Coding RNA Landscape of Bronchial Epitheliums of Lung Cancer Patients

A Non-Coding RNA Landscape of Bronchial Epitheliums of Lung Cancer Patients

Estimation of SARS-CoV-2 mortality during the early stages of an epidemic: A modeling study in Hubei, China, and six regions in Europe

Knockdown long noncoding RNA SLC8A1-AS1 attenuate cell invasion and migration in glioma via suppression of Wnt-β catenin signaling pathways

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