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 ◽  
...  
2019 ◽  
Vol 120 (10) ◽  
pp. 18031-18040 ◽  
Author(s):  
Shuai Xiang ◽  
Zeng Li ◽  
Yanyan Bian ◽  
Xisheng Weng

2020 ◽  
Vol 20 (6) ◽  
pp. 1-1
Author(s):  
Mengbi Lin ◽  
Yue Zheng ◽  
Qian Li ◽  
Yufang Liu ◽  
Qingfang Xu ◽  
...  

2021 ◽  
Vol 8 (11) ◽  
pp. 166
Author(s):  
Dimitrios Kouroupis ◽  
Thomas M. Best ◽  
Lee D. Kaplan ◽  
Diego Correa ◽  
Anthony J. Griswold

The pathogenesis and progression of knee inflammatory pathologies is modulated partly by residing macrophages in the infrapatellar fat pad (IFP), thus, macrophage polarization towards pro-inflammatory (M1) or anti-inflammatory (M2) phenotypes is important in joint disease pathologies. Alteration of M1/M2 balance contributes to the initiation and progression of joint inflammation and can be potentially altered with mesenchymal stem cell (MSC) therapy. In an acute synovial/IFP inflammation rat model a single intra-articular injection of IFP-MSC was performed, having as controls (1) diseased rats not receiving IFP-MSC and (2) non-diseased rats. After 4 days, cell specific transcriptional profiling via single-cell RNA-sequencing was performed on isolated IFP tissue from each group. Eight transcriptomically distinct cell populations were identified within the IFP across all three treatment groups with a noted difference in the proportion of myeloid cells across the groups. Largely myeloid cells consisted of macrophages (>90%); one M1 sub-cluster highly expressing pro-inflammatory markers and two M2 sub-clusters with one of them expressing higher levels of canonical M2 markers. Notably, the diseased samples (11.9%) had the lowest proportion of cells expressing M2 markers relative to healthy (14.8%) and MSC treated (19.4%) samples. These results suggest a phenotypic polarization of IFP macrophages towards the pro-inflammatory M1 phenotype in an acute model of inflammation, which are alleviated by IFP-MSC therapy inducing a switch towards an alternate M2 status. Understanding the IFP cellular heterogeneity and associated transcriptional programs may offer insights into novel therapeutic strategies for disabling joint disease pathologies.


Epigenomics ◽  
2021 ◽  
Author(s):  
Congxia Bai ◽  
Tingting Liu ◽  
Yingying Sun ◽  
Hao Li ◽  
Ning Xiao ◽  
...  

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.


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

Gene ◽  
2018 ◽  
Vol 673 ◽  
pp. 140-148 ◽  
Author(s):  
Ding Cui ◽  
Junyan Ma ◽  
Yang Liu ◽  
Kaiqing Lin ◽  
Xiuxiu Jiang ◽  
...  

Epigenomics ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1027-1040 ◽  
Author(s):  
Chenjing Zhang ◽  
Jingya Wang ◽  
Xiaoge Geng ◽  
Jiangfeng Tu ◽  
Huiqin Gao ◽  
...  

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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