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Molecular therapy. Nucleic acids
IF
5.92
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894
Papers 1015
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Published on 2019in Molecular therapy. Nucleic acids5.92
Feng Ye13
Estimated H-index: 13
(SYSU: Sun Yat-sen University),
Guanfeng Gao (SYSU: Sun Yat-sen University)+ 5 AuthorsHailin Tang23
Estimated H-index: 23
(SYSU: Sun Yat-sen University)
Abstract Accumulating evidence indicates that circular RNAs (circRNAs) are vital regulators of various biological functions involved in the progression of multiple cancers. CircFBXW7 (hsa_circ_0001451) has been reported to act as a tumor suppressor by encoding a novel protein in glioma; however, its functions and mechanisms in triple-negative breast cancer (TNBC) remain elusive. In the current study, we validated by qRT-PCR that circFBXW7 was downregulated in TNBC cell lines and found that low e...
Published on 2019in Molecular therapy. Nucleic acids5.92
Chaojie Liang (Shanxi Medical University), Tuanjie Zhao + 7 AuthorsYu Duan1
Estimated H-index: 1
(Zhengzhou University)
Abstract Accumulating evidence has uncovered long non-coding RNAs (lncRNAs) as central regulators in the pathogenesis of diverse human cancers including colorectal cancer (CRC). Present study discovered that a novel lncRNA ITHI4-AS1 was frequently under-expressed in most of normal human tissues, including colon. Therefore, we aimed to investigate the role of ITHI4-AS1 in CRC. Interestingly, a significant overexpression of ITIH4-AS1 was observed in CRC cell lines relative to normal NCM460 cells. ...
Published on 2019in Molecular therapy. Nucleic acids5.92
Xiaoqing Ru (Hebei University of Engineering), Peigang Cao + 1 AuthorsQuan Zou36
Estimated H-index: 36
(University of Electronic Science and Technology of China)
Abstract Among the large number of known microRNAs (miRNAs), some miRNAs play negligible roles in cell regulation. Therefore, selecting essential miRNAs is an important initial step for a deeper understanding of miRNAs and their functions. In this study, we generated 60 classification models by combining 12 representative feature extraction methods and five commonly used classification algorithms. The optimal model for essential miRNA classification that we obtained is based on the Mismatch feat...
Published on Aug 1, 2019in Molecular therapy. Nucleic acids5.92
Changye Li (Binzhou University), Zhenkai Wang (Binzhou University)+ 6 AuthorsXiaodong Song9
Estimated H-index: 9
(Binzhou University)
Abstract Noncoding RNAs (ncRNAs), such as miRNA, lncRNA and circRNA, are regulators of important biological functions. Therefore, understanding their crosstalk and regulatory pattern can provide treatment for diseases. In this study, differentially expressed RNA transcripts were obtained by RNA sequencing in bleomycin-induced pulmonary fibrosis in mice. Four miRNAs, 10 lncRNAs and 2 circRNAs were tested to validate the sequencing. There were differentially expressed 585 mRNAs, 236 miRNAs, 272 ln...
Published on 2019in Molecular therapy. Nucleic acids5.92
Saskia Breuel (University of Oldenburg), Mariann Vorm (University of Oldenburg)+ 2 AuthorsJohn Neidhardt24
Estimated H-index: 24
(University of Oldenburg)
Abstract Manipulation of pre-mRNA processing is a promising approach towards overcoming disease-causing mutations and treating human diseases. We show that a combined treatment applying two splice-manipulating technologies improves therapeutic efficacies to correct mutation-induced splice defects. Previously, we identified a family affected by retinitis pigmentosa caused by the homozygous BBS1 splice donor site mutation c.479G>A. The mutation leads to both, exon 5 skipping and intron 5 retention...
Published on 2019in Molecular therapy. Nucleic acids5.92
Suixin Liu3
Estimated H-index: 3
(CSU: Central South University),
Fan Zheng3
Estimated H-index: 3
(CSU: Central South University)
+ 3 AuthorsYing Cai3
Estimated H-index: 3
(CSU: Central South University)
Abstract Insulin resistance (IR) is the primary pathological mechanism underlying type 2 diabetes mellitus (T2DM). Here, the study aimed to ascertain whether and how exercise mediates IR in T2DM. An in vivo mouse model of high-fat diet-induced IR and an in vitro high glucose-induced IR model were constructed. High lncRNA MALAT1 expression was detected in T2MD, and was positively correlated with HOMA-IR and resistin levels. Then, sh-MALAT1 or pcDNA-MALAT1 was delivered into human umbilical vein e...
Published on 2019in Molecular therapy. Nucleic acids5.92
Yuanyuan Che (JLU: Jilin University), Xu Shi (JLU: Jilin University)+ 5 AuthorsWenyan Jiang (JLU: Jilin University)
Abstract Exosomes are membrane-enclosed nanovesicles that shuttle active cargoes, such as mRNAs and microRNAs (miRs), between different cells. Mesenchymal stem cells (MSCs) are able to migrate to the tumor sites and exert complex functions over tumor progress. We investigated the effect of human bone-marrow derived mesenchymal stem cells (BMSCs)-derived exosomal miR-143 on prostate cancer. During the coculture experiments, we disrupted exosome secretion by the inhibitor GW4869 and overexpressed ...
Published on 2019in Molecular therapy. Nucleic acids5.92
Qiang Su2
Estimated H-index: 2
(GLMU: Guilin Medical University),
Xiangwei Lv2
Estimated H-index: 2
(GLMU: Guilin Medical University)
+ 3 AuthorsZhenbai Qin1
Estimated H-index: 1
(Guangxi Medical University)
Abstract Myocardial infarction (MI) is a life-threatening cardiac event which results in extreme damage to the heart muscle. The Wnt signaling pathway has been implicated in the development of heart diseases. Hence, the current study aimed to investigate the role of microRNA (miRNA) in association with the Wnt signaling pathway to identify potential candidates for MI therapy. Differentially expressed miRNAs associated with MI occurrence were screened and miR-494 was selected for subsequent exper...
Published on 2019in Molecular therapy. Nucleic acids5.92
Bin Liu (BIT: Beijing Institute of Technology), Kai Li3
Estimated H-index: 3
(HIT: Harbin Institute of Technology)
Abstract Promoters are short regions at specific locations of DNA sequences, which are playing key roles in directing gene transcription. They can be grouped into six types ( σ 24 , σ 28 , σ 32 , σ 38 , σ 54 , σ 70 ). Recently, a predictor called “iPromoter-2L” was constructed to predict the promoters and their six types, which is the first approach to predict all the six types of promoters. However, its predictive quality still needs to be further improved for real world application requirement...
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