RNA sequencing reveals the circular RNA expression profiles of osteoarthritic synovium

2019 ◽  
Vol 120 (10) ◽  
pp. 18031-18040 ◽  
Author(s):  
Shuai Xiang ◽  
Zeng Li ◽  
Yanyan Bian ◽  
Xisheng Weng
Keyword(s):  
Rna Sequencing ◽  
Expression Profiles ◽  
Circular Rna ◽  
Rna Expression

scholarly journals RNA sequencing reveals the circular RNA expression profiles of the infrapatellar fat pad/synovium unit

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Tao Jiang ◽  
Yimin Lu ◽  
Zehua Chen ◽  
Xiaodong Lin ◽  
Jiayuan Zhang ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Expression Profiles ◽  
Circular Rna ◽  
Infrapatellar Fat Pad ◽  
Rna Expression ◽  
Fat Pad

scholarly journals Circular RNA expression profiles significantly altered in UVA‑irradiated human dermal fibroblasts

2020 ◽  
Vol 20 (6) ◽  
pp. 1-1
Author(s):  
Mengbi Lin ◽  
Yue Zheng ◽  
Qian Li ◽  
Yufang Liu ◽  
Qingfang Xu ◽  
...  
Keyword(s):  
Expression Profiles ◽  
Circular Rna ◽  
Dermal Fibroblasts ◽  
Rna Expression ◽  
Human Dermal Fibroblasts

Identification of circular RNA expression profiles and potential biomarkers for intracerebral hemorrhage

Epigenomics ◽  
2021 ◽  
Author(s):  
Congxia Bai ◽  
Tingting Liu ◽  
Yingying Sun ◽  
Hao Li ◽  
Ning Xiao ◽  
...  
Keyword(s):  
Immune System ◽  
Intracerebral Hemorrhage ◽  
Bioinformatics Analysis ◽  
Expression Profiles ◽  
Circular Rna ◽  
Rna Expression ◽  
Expression Levels ◽  
Qrt Pcr ◽  
Lysine Degradation ◽  
Potential Biomarkers

Aim: To investigate the expression profiles of circRNAs after intracerebral hemorrhage (ICH). Materials & methods: RNA sequencing and qRT-PCR were used to investigate and validate circRNA expression levels. Bioinformatics analysis was performed to explore potential functions of the circRNAs. Results: Expression levels of 15 circRNAs were consistently altered in patients with ICH compared with their expression levels in hypertension. Three circRNAs, hsa_circ_0001240, hsa_circ_0001947 and hsa_circ_0001386, individually or combined, were confirmed as promising biomarkers for predicting and diagnosing ICH. The circRNAs were involved mainly in lysine degradation and the immune system. Conclusion: This is the first study to report expression profiles of circRNAs after ICH and to propose that three circRNAs are potential biomarkers for ICH.

scholarly journals Circular RNA expression profiles reveal that hsa_circ_0018289 is up-regulated in cervical cancer and promotes the tumorigenesis

Oncotarget ◽  
2017 ◽  
Vol 8 (49) ◽  
pp. 86625-86633 ◽  
Author(s):  
Ya-Li Gao ◽  
Ming-Yun Zhang ◽  
Bo Xu ◽  
Li-Jie Han ◽  
Shou-Feng Lan ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Expression Profiles ◽  
Circular Rna ◽  
Rna Expression

Analysis of long non-coding RNA expression profiles using RNA sequencing in ovarian endometriosis

Gene ◽  
2018 ◽  
Vol 673 ◽  
pp. 140-148 ◽  
Author(s):  
Ding Cui ◽  
Junyan Ma ◽  
Yang Liu ◽  
Kaiqing Lin ◽  
Xiuxiu Jiang ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Expression Profiles ◽  
Rna Expression ◽  
Ovarian Endometriosis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Circular RNA expression profile and m6A modification analysis in poorly differentiated adenocarcinoma of the stomach

Epigenomics ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1027-1040 ◽  
Author(s):  
Chenjing Zhang ◽  
Jingya Wang ◽  
Xiaoge Geng ◽  
Jiangfeng Tu ◽  
Huiqin Gao ◽  
...  
Keyword(s):  
Real Time ◽  
Expression Pattern ◽  
Quantitative Pcr ◽  
Expression Profiles ◽  
Area Under The Curve ◽  
Circular Rna ◽  
Rna Expression ◽  
Poorly Differentiated Adenocarcinoma ◽  
Real Time Quantitative Pcr ◽  
Poorly Differentiated

Aims: To profile and characterize the circular RNA (circRNA) expression pattern in poorly differentiated gastric adenocarcinoma (PDGA). Methods & materials: CircRNA expression profiles in PDGA and adjacent nontumor tissues were analyzed by microarray. Five randomly selected differentiated expressed circRNAs (DECs) were validated by real-time quantitative PCR. m6A qualification of the top 20 DECs was conducted by m6A-immunoprecipitation and real-time quantitative PCR. Results: A total of 65 DECs were found in PDGA compared with the control. Hsa_circRNA_0077837 had the largest area under the curve. Most DECs had m6A modifications, the trend of m6A modification alteration was mainly consistent with the circRNA expression level. Conclusion: Our study revealed a set of DECs and their m6A modification alterations, which may provide new insight for their potential function in PDGA.

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