Expression profile analysis of long non‐coding <scp>RNA</scp> in acute myeloid leukemia by microarray and bioinformatics

Feng, Yuandong; Shen, Ying; Chen, Hongli; Wang, Xiaman; Zhang, Ru; Peng, Yue; Lei, Xiaoru; Tian, Li; Liu, Jing; Gu, Liufang; Wang, Fangxia; Yang, Yun; Bai, Jing; Wang, Jianli; Zhao, Wanhong; He, Aili

doi:10.1111/cas.13465

Cited by 35 publications

(26 citation statements)

References 25 publications

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“…With the development of sequencing technology and bioinformatics, many lncRNAs have identified associated with the occurrence and development of tumors (Feng et al, 2018). Recently, several lncRNAs, including ANRIL, H19 and NEAT1, have been found to affect disease progression in AML (Sun et al, 2018; Zhang et al, 2018; Zhao et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Long noncoding RNA SNHG1 predicts poor prognosis and facilitates disease progression in acute myeloid leukemia

2019

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The role of long non-coding RNAs (lncRNAs) in acute myeloid leukemia (AML) is becoming increasingly questioned. Previous studies have reported that the lncRNA small nucleolar RNA host gene 1 (SNHG1) is involved in multiple human malignant tumors, while its expression and role in AML is still unexplored. Here, we show that SNHG1 is highly expressed in AML specimens from non-M3 patients, as well as AML cell lines. Meanwhile, upregulation of SNHG1 is correlated with poor prognosis. Notably, SNHG1 facilitates the proliferation and inhibits the apoptosis of AML cells in vitro. Consistent with these findings, knockdown of SNHG1 significantly inhibits AML progression in an immunodeficient mouse model. Mechanistically, we found that an anti-tumor microRNA-101 (miR-101) is upregulated and its target genes are downregulated in AML cells after SNHG1 knockdown. Further investigations display that SNHG1 can serve as a competing endogenous RNA to inhibit miR-101. In conclusion, our data indicate that SNHG1 plays an important role in facilitating AML progression at least in part by negatively regulating miR-101, and provides a new target for treating AML.

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Section: Discussionmentioning

confidence: 99%

Long noncoding RNA SNHG1 predicts poor prognosis and facilitates disease progression in acute myeloid leukemia

2019

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“…The chip analysis was performed using the Kang Chen Bio‐tech, Inc. platform (Shanghai, China) according to the manufacturer's instructions (Feng et al. ). Briefly, extracted RNA samples were first purified and amplified.…”

Section: Methodsmentioning

confidence: 99%

Effect of intravitreal conbercept treatment on the expression of Long Noncoding RNAs and mRNAs in Proliferative Diabetic Retinopathy Patients

Wang

Gao

Liu

et al. 2019

Acta Ophthalmologica

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Purpose: To evaluate the effect of conbercept on the expression of long noncoding RNAs (lncRNAs) and mRNAs in the fibrovascular membranes of proliferative diabetic retinopathy (PDR) patients. Methods: Twenty patients, diagnosed with PDR, who underwent pars plana vitrectomy (PPV), were recruited for this study. Ten patients were treated for PPV alone (Control Group), and the others received conbercept injections before PPV (Treated Group). The fibrovascular membranes were harvested during surgery. Expression of lncRNAs and mRNAs in the membranes was tested using lncRNA Arrays. Bioinformatics analyses were performed to identify the related biological modules and pathways of the differentially expressed genes. A lncRNA/mRNA coexpression network was built to identify the correlations between lncRNAs and mRNAs. Real-time PCR was conducted to verify the microarray results. Results: We identified 427 differentially expressed lncRNAs, of which 263 were upregulated and 164 were downregulated. Gene ontology (GO) analysis indicated that these lncRNAs-coexpressed mRNAs targeted various metabolic processes, especially the gluconeogenesis. Kyoto Encyclopaedia of Genes and Genomes (KEGG) results indicated that 16 pathways had significant differences in gene expression, including gluconeogenesis, HIF-1 signalling pathway, NOD-like receptor pathway, etc. The lncRNA/mRNA coexpression network revealed that many differentially expressed lncRNAs were enriched in the HIF-1, TNF-a and NOD-like receptor pathways. LincRNAs were the largest category and further bioinformatics analysis implied that these lincRNAs-coexpressed mRNAs were mainly involved in PDR-related biological processes and pathological pathways. Conclusion: Conbercept treatment can change the expression profiles of lncRNAs and mRNAs in the fibrovascular membranes of PDR patients. A complete understanding of the relationship between lncRNAs and anti-VEGF drugs may contribute to new therapeutic regimen for PDR.

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“…The global human lncRNAs and mRNAs expressions profiling are assessed using Human LncRNA Expression Microarray (Feng et al, 2018; Jiang et al, 2019). Sun, Jia, Lin, Leng, and Lang (2014) first evaluated whole‐genome lncRNA expressions in four ovarian endometriosis patients’ ectopic endometrium tissues compared to their eutopic endometrium by Human LncRNA Expression Microarray.…”

Section: Lncrnas and Endometriosismentioning

confidence: 99%

Long noncoding RNAs in endometriosis: Biological functions, expressions, and mechanisms

Wang

Zhang

Liu

et al. 2020

Journal Cellular Physiology

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Endometriosis refers to a benign chronic gynecological disorder, and is defined as the ectopic growth of endometrium in pelvic cavity. Endometriosis affects about 10% of reproductive-aged women. Unfortunately, the pathogenesis of endometriosis remains obscure, and the disease witnesses a lack of effective therapy approaches. Therefore, more research needs to be performed to throw light on endometriosis, its pathogenesis, and therapy. Long noncoding RNAs (lncRNAs), which are defined as functional cellular RNA longer than 200 nucleotides, have been implicated in many chronic disorders. It has been suggested that lncRNAs are closely related to the endometriosis process. Nevertheless, the molecular mechanisms by which lncRNAs associate with endometriosis should be elucidated more detailed. In our brief review, we first exhibit the aberrant lncRNAs expression in endometriosis. Then, we talk about the molecular mechanisms underlying lncRNAs in endometriosis. Finally, we also present the potential of lncRNAs as biomarkers for endometriosis.

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Expression profile analysis of long non‐coding RNA in acute myeloid leukemia by microarray and bioinformatics

Cited by 35 publications

References 25 publications

Long noncoding RNA SNHG1 predicts poor prognosis and facilitates disease progression in acute myeloid leukemia

Long noncoding RNA SNHG1 predicts poor prognosis and facilitates disease progression in acute myeloid leukemia

Effect of intravitreal conbercept treatment on the expression of Long Noncoding RNAs and mRNAs in Proliferative Diabetic Retinopathy Patients

Long noncoding RNAs in endometriosis: Biological functions, expressions, and mechanisms

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