scholarly journals Transcriptome analysis reveals dysregulated long non‑coding RNAs and mRNAs associated with extrahepatic cholangiocarcinoma progression

2017 ◽  
Author(s):  
Fumin Zhang ◽  
Ming Wan ◽  
Yi Xu ◽  
Zhenglong Li ◽  
Pengcheng Kang ◽  
...  
Keyword(s):  
Transcriptome Analysis ◽  
Extrahepatic Cholangiocarcinoma ◽  
Non Coding Rnas

Whole Transcriptome Analysis: Implication to Estrous Cycle Regulation

2021 ◽  
Author(s):  
Xiaopeng An ◽  
Yue Zhang ◽  
Fu Li ◽  
Zhanhang Wang ◽  
Shaohua Yang ◽  
...  
Keyword(s):  
Estrous Cycle ◽  
Transcriptome Analysis ◽  
Circular Rna ◽  
Differentially Expressed ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Whole Transcriptome Analysis ◽  
Cycle Regulation ◽  
Whole Transcriptome ◽  
Goat Ovary

Abstract BackgroundEstrous cycle is one of female characteristics after sexual maturity, including estrus (ES) and diestrus (DS) stages. Estrous cycle is important in female physiology and its disorder may lead to diseases. In the latest years, effects of non-coding RNAs and mRNA on estrous cycle start to arouse much concern, however, a whole transcriptome analysis among non-coding RNAs and mRNA has not been reported.ResultsHere we report a whole transcriptome analysis of goat ovary in estrus and diestrus periods. Estrus synchronization was conducted to induce the estrus phase and on day 32, the goats naturally shifted into diestrus stage. The ovary RNA of estrus and diestrus stages was respectively collected to perform RNA-sequencing. Then the circular RNA; microRNA; long non-coding RNA; mRNA databases of goat ovary were acquired, and the differentially expressions between estrus and diestrus stages were screened to construct circRNA-miRNA-mRNA/lncRNA and lncRNA-miRNA/mRNA networks, thus providing potential pathways that involved in the regulation of estrous cycle. Differentially expressed mRNAs, such as MMP9, TIMP1, 3BHSD and PTGIS, and differentially expressed microRNAs, such as miR-21-3p，miR-202-3p and miR-223-3p, which play key roles in estrous cycle regulation were extracted from the network.ConclusionsOur data provided the miRNA, circRNA, lncRNA and mRNA databases of goat ovary and each differentially expressed profile between ES and DS. Networks among differentially expressed miRNAs, circRNAs, lncRNAs and mRNAs were constructed to provide valuable resources for the study of estrous cycle and related diseases.

scholarly journals Transcriptome analysis identifies the potential roles of long non‐coding RNAs during parainfluenza virus infection

FEBS Letters ◽  
2018 ◽  
Vol 592 (14) ◽  
pp. 2444-2457
Author(s):  
Haoming Wu ◽  
Ran‐Ran Yao ◽  
Shuang‐Shuang Yu ◽  
Hong‐Yan Chen ◽  
Juan Cai ◽  
...  
Keyword(s):  
Virus Infection ◽  
Transcriptome Analysis ◽  
Parainfluenza Virus ◽  
Non Coding Rnas

scholarly journals Transcriptome analysis of long non-coding RNAs of the nucleus accumbens in cocaine-conditioned mice

2012 ◽  
Vol 123 (5) ◽  
pp. 790-799 ◽  
Author(s):  
Qian Bu ◽  
Zhengtao Hu ◽  
Feng Chen ◽  
Ruiming Zhu ◽  
Yi Deng ◽  
...  
Keyword(s):  
Nucleus Accumbens ◽  
Transcriptome Analysis ◽  
Non Coding Rnas

Transcriptome Analysis of Canine Cardiac Fat Pads: Involvement of Two Novel Long Non-Coding RNAs in Atrial Fibrillation Neural Remodeling

2015 ◽  
Vol 116 (5) ◽  
pp. 809-821 ◽  
Author(s):  
Weizong Wang ◽  
Ximin Wang ◽  
Yujiao Zhang ◽  
Zhan Li ◽  
Xinxing Xie ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Transcriptome Analysis ◽  
Non Coding Rnas ◽  
Neural Remodeling ◽  
Fat Pads

scholarly journals Transcriptome Analysis to Identify the Potential Role of Long non-coding RNAs in Enteric Glial Cells under Hyperglycemia

2020 ◽  
Author(s):  
Xuping Zhu ◽  
Yanyu Li ◽  
Xue Zhu ◽  
Yanmin Jiang ◽  
Xiaowei Zhu ◽  
...  
Keyword(s):  
Autonomic Neuropathy ◽  
Glial Cells ◽  
Transcriptome Analysis ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Protein Protein Interaction ◽  
Enteric Glial Cells ◽  
Non Coding Rnas

Abstract Background Long non-coding RNAs (lncRNAs) are important mediators in the pathogenesis of diabetic gastrointestinal autonomic neuropathy, which has just been reported to have a relation to enteric glial cells (EGCs). However, the role of lncRNAs in the pathogenesis of diabetic gastrointestinal autonomic neuropathy, especially EGCs-related gastrointestinal dysfunction, has never been reported. Methods RNA sequencing technology (RNA-Seq) was used to screen the differential lncRNAs and mRNAs in EGCs under hyperglycemia (300 mmol L− 1 high glucose). Results Totally 4678 differentially expressed lncRNAs (DE lncRNAs) and 6244 differentially expressed mRNAs (DE mRNAs) were obtained. GO enrichment analysis and KEGG pathway analysis showed significant differences. 2910 and 1549 co-expressed mRNAs were respectively expressed in up-regulated and down-regulated DE lncRNA target genes. Several up- or down-regulated lncRNAs were at the key junction points of the regulatory network. Protein-protein interaction networks showed highly connected clusters were TP53, AKT1, Casp9, Casp8, Casp3, TNF, etc, which are known closely related to apoptosis. FLRT3, Fras1, and other related target genes, which revealed the potential function of lncRNAs, may be important targets for differential lncRNAs to regulate the apoptosis of glial cells induced by hyperglycemia. Conclusion In this study, the involvement of lncRNAs in EGCs under hyperglycemia was analyzed using transcriptome analysis.

scholarly journals Dynamic Transcriptome Analysis Reveals Potential Long Non-coding RNAs Governing Postnatal Pineal Development in Pig

2019 ◽  
Vol 10 ◽  
Author(s):  
Yalan Yang ◽  
Rong Zhou ◽  
Wentong Li ◽  
Ying Liu ◽  
Yanmin Zhang ◽  
...  
Keyword(s):  
Transcriptome Analysis ◽  
Non Coding Rnas

Role of long non-coding RNAs in Down syndrome patients: a transcriptome analysis study

Human Cell ◽  
2021 ◽  
Vol 34 (6) ◽  
pp. 1662-1670
Author(s):  
Michele Salemi ◽  
Rossella Cannarella ◽  
Giovanna Marchese ◽  
Maria Grazia Salluzzo ◽  
Maria Ravo ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Transcriptome Analysis ◽  
Analysis Study ◽  
Non Coding Rnas
Sign in / Sign up

Export Citation Format

Share Document