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Image Search Results
Journal: PLoS ONE
Article Title: Circular RNA expression profiling of human granulosa cells during maternal aging reveals novel transcripts associated with assisted reproductive technology outcomes
doi: 10.1371/journal.pone.0177888
Figure Lengend Snippet: CircRNA_103827 and circRNA_104816 expressions in granulosa cells according to patients’ clinical characteristics.
Article Snippet: In stage 1, GCs samples from women of advanced age (AA, ≥ 38 years, n = 3) and young age (YA, ≤ 30 years, n = 3) were analyzed by a
Techniques: Biomarker Discovery
Journal: PLoS ONE
Article Title: Circular RNA expression profiling of human granulosa cells during maternal aging reveals novel transcripts associated with assisted reproductive technology outcomes
doi: 10.1371/journal.pone.0177888
Figure Lengend Snippet: CircRNA_103827 and circRNA_104816 expression levels in granulosa cells according to ART outcomes.
Article Snippet: In stage 1, GCs samples from women of advanced age (AA, ≥ 38 years, n = 3) and young age (YA, ≤ 30 years, n = 3) were analyzed by a
Techniques: Expressing
Journal: PLoS ONE
Article Title: Circular RNA expression profiling of human granulosa cells during maternal aging reveals novel transcripts associated with assisted reproductive technology outcomes
doi: 10.1371/journal.pone.0177888
Figure Lengend Snippet: The top 10 significantly differentially expressed circRNAs between young and older women ranked by fold change.
Article Snippet: In stage 1, GCs samples from women of advanced age (AA, ≥ 38 years, n = 3) and young age (YA, ≤ 30 years, n = 3) were analyzed by a
Techniques:
Journal: PLoS ONE
Article Title: Circular RNA expression profiling of human granulosa cells during maternal aging reveals novel transcripts associated with assisted reproductive technology outcomes
doi: 10.1371/journal.pone.0177888
Figure Lengend Snippet: Comparison of candidate circRNAs (circRNA_103829, circRNA_10827, circRNA_104816, circRNA_101889, circRNA_103828, circRNA_100833, circRNA_104852, circRNA_103611) expression levels in granulosa cells from additional young (n = 20) and older (n = 20) women by qRT-PCR. YA, women with young age (≤ 30 years); AA, women with advanced age (≥ 38 years). P values were calculated by Mann-Whitney U test. Relative expressions were analyzed by 2 -ΔΔCt method which was normalized to GAPDH. For each box plotting, the central mark represents the median, the edges of the box represent the 25 th and 75 th percentiles, and the whiskers are the most extreme data points not considered outliers.
Article Snippet: In stage 1, GCs samples from women of advanced age (AA, ≥ 38 years, n = 3) and young age (YA, ≤ 30 years, n = 3) were analyzed by a
Techniques: Comparison, Expressing, Quantitative RT-PCR, MANN-WHITNEY
Journal: PLoS ONE
Article Title: Circular RNA expression profiling of human granulosa cells during maternal aging reveals novel transcripts associated with assisted reproductive technology outcomes
doi: 10.1371/journal.pone.0177888
Figure Lengend Snippet: ( A-E ) circRNA_103827 expression levels in granulosa cells according to (A) serum AMH levels, (B) AFC, (C) retrieved oocytes, (D) top quality embryos and (E) top quality embryo percentage. ( F-J ) circRNA_104816 expression levels in granulosa cells according to (F) serum AMH levels, (G) AFC, (H) retrieved oocytes, (I) top quality embryos and (J) top quality embryo percentage.
Article Snippet: In stage 1, GCs samples from women of advanced age (AA, ≥ 38 years, n = 3) and young age (YA, ≤ 30 years, n = 3) were analyzed by a
Techniques: Expressing
Journal: PLoS ONE
Article Title: Circular RNA expression profiling of human granulosa cells during maternal aging reveals novel transcripts associated with assisted reproductive technology outcomes
doi: 10.1371/journal.pone.0177888
Figure Lengend Snippet: ROC analysis to evaluate predictive performance of circRNA_103827, circRNA_104816 expressions in granulosa cells and top quality embryo proportion for ( A-C ) clinical pregnancy outcomes, as well as for ( D-F ) live births. AUC, area under the ROC curve.
Article Snippet: In stage 1, GCs samples from women of advanced age (AA, ≥ 38 years, n = 3) and young age (YA, ≤ 30 years, n = 3) were analyzed by a
Techniques:
Journal: PLoS ONE
Article Title: Circular RNA expression profiling of human granulosa cells during maternal aging reveals novel transcripts associated with assisted reproductive technology outcomes
doi: 10.1371/journal.pone.0177888
Figure Lengend Snippet: (A) CircRNA_103827/circRNA_104816 targeted “Top 5” miRNA-gene network was portrayed based on sequence-pairing prediction. A pink round node represents a gene, a blue square represents miRNA, and a yellow diamond represents a circRNA. Overlapping genes of both circRNAs in this interactive network were ANKRD20A9P , XIST and KCNQ1OT1 . (B) GO and (C) KEGG pathway analysis of circRNA_103827 and circRNA_104816 predicted target genes. The top 10 significantly enriched activities and their scores (negative logarithm of P value) were listed in the X-axis and the Y-axis, respectively.
Article Snippet: In stage 1, GCs samples from women of advanced age (AA, ≥ 38 years, n = 3) and young age (YA, ≤ 30 years, n = 3) were analyzed by a
Techniques: Sequencing
Journal: BMC Cardiovascular Disorders
Article Title: Circular RNA expression profile and its potential regulative role in human abdominal aortic aneurysm
doi: 10.1186/s12872-020-01374-8
Figure Lengend Snippet: circRNAs expression profiles detected by microarray in the AAA group and control group. a The box plot shows the nearly identical distributions of normalized intensity values from the aortic samples of the AAA and control group. b The scatter plot is built to assess the expression variation of circRNAs between the two groups. The X and Y axes indicate the normalized intensity values of each circRNAs from the AAA and control group. The dots above the upper green line and below the lower green line represent the dysregulated circRNAs with a fold change (FC) > 2.0 between the two groups. c The volcano plot presents differentially expressed circRNAs in AAA. The vertical lines correspond to 2-fold upregulation and downregulation, the horizontal line indicates P value of 0.05. The red dots represent the differentially expressed circRNAs (FC > 2.0 and P value < 0.05). d Hierarchical clustering analysis reveals a distinguishable expression profile of circRNAs between the AAA and control group. Each column indicates an aortic sample, each row represents a circRNA. The red and green color indicate high and low expression level, respectively. e Chromosomal distribution of the differentially expressed circRNAs between the two groups
Article Snippet: The fragmented labeled cRNAs were hybridized onto the
Techniques: Expressing, Microarray, Control
Journal: BMC Cardiovascular Disorders
Article Title: Circular RNA expression profile and its potential regulative role in human abdominal aortic aneurysm
doi: 10.1186/s12872-020-01374-8
Figure Lengend Snippet: Validation of six randomly selected dysregulated circRNAs by qRT-PCR. Each circRNA was evaluated at least three times and compared with the results of microarray. The Y axis indicates the fold change of AAA vs control of each circRNA
Article Snippet: The fragmented labeled cRNAs were hybridized onto the
Techniques: Biomarker Discovery, Quantitative RT-PCR, Microarray, Control
Journal: BMC Cardiovascular Disorders
Article Title: Circular RNA expression profile and its potential regulative role in human abdominal aortic aneurysm
doi: 10.1186/s12872-020-01374-8
Figure Lengend Snippet: The predicted circRNA/miRNA interaction networks for six randomly selected circRNAs. a , b The red nodes indicate upregulated circRNAs. c - f The blue nodes represent downregulated circRNAs. The green nodes are five complementary binding miRNAs of each circRNA
Article Snippet: The fragmented labeled cRNAs were hybridized onto the
Techniques: Binding Assay
Journal: Communications Biology
Article Title: tRF16 affects NFKBIA stability and promotes osteoarthritis progression by regulating ALKBH5 expression in m6A-dependent manner
doi: 10.1038/s42003-025-08299-y
Figure Lengend Snippet: A , B Volcano and heat maps of smallRNAs differentially expressed in cartilage tissues of three normal subjects and three OA patients analyzed using Arraystar Human SmallRNA Expression Microarray; C flow diagram of a rat OA model established by meniscectomy. The illustration is created by Biorender.com; D microCT confirms arthritic symptoms in rats at 16 weeks postoperatively; E the Tb.N, Tb.sp and BV/TV value according to the micro-CT; F – H , HE, PAS, and SAFG staining to detect pathological structural alterations in the cartilage tissues of rat knee joints; I RT-qPCR to detect tRF16 expression in the cartilage tissues of rats at 0, 4, 8, 12, and 16 weeks postoperatively; J RT-qPCR to detect the mRNA levels of Aggrecan, COL2A1, MMP1, and MMP13 in the cartilage tissues of rats; K the correlation between tRF16 expression in the knee joints of OA rats at week 16 and the Mankin score. Each group contained 6-8 rats; the data were presented as dot and whsikers and statistically analyzed using Student t -test or 2-way ANOVA, followed by Tukey’s multiple comparison test for post hoc tests, ** P < 0.01, *** P < 0.001, **** P < 0.0001.
Article Snippet: In the present study, we used
Techniques: Expressing, Microarray, Micro-CT, Staining, Quantitative RT-PCR, Comparison
Journal: Journal of Orthopaedic Surgery and Research
Article Title: Comprehensive analysis of potential ceRNA network and immune cell infiltration in intervertebral disc degeneration
doi: 10.1186/s13018-022-03331-x
Figure Lengend Snippet: IDD datasets included for analysis
Article Snippet: GSE67566 ,
Techniques: Microarray
Journal: Non-coding RNA Research
Article Title: Circular RNAs in intracranial aneurysms: Emerging roles in pathogenesis, diagnosis and therapeutic intervention
doi: 10.1016/j.ncrna.2023.11.012
Figure Lengend Snippet: Schematic illustration of the effect of circular RNAs (circRNAs) on intracranial aneurysm (IA) rupture. Current evidence strongly suggests a central role for endothelial dysfunction in the initiation and progression of IA. Post-subarachnoid hemorrhage (SAH), several early pathophysiological events can be commonly observed in blood-brain barrier (BBB) components, such as the endothelium (endothelial dysfunction). In results, post- SAH injuries can disrupt the integrity and function of the BBB . Both negative (red cross) and positive (green cross) regulation of circRNAs have been observed in this pathological cascade. The role of circRNAs is based on components: 1) strong role in endothelial cells (ECs) homeostasis; 2) regulation of barrier function and vascular tone; 3) associated with SAH and its complications; 4) correlates with clinical outcomes (Glasgow Coma Scale, the volume of SAH, modified Fisher scale, Hunt-Hess levels, and surgical type; 5) regulators of transcription/translation, sequesters of microRNA (miRNA)/RNA-binding proteins (RBPs), and biomarkers of IA.
Article Snippet: Leveraging the power of the
Techniques: Modification, RNA Binding Assay
Journal: Non-coding RNA Research
Article Title: Circular RNAs in intracranial aneurysms: Emerging roles in pathogenesis, diagnosis and therapeutic intervention
doi: 10.1016/j.ncrna.2023.11.012
Figure Lengend Snippet: Schematic illustration of circular RNAs (circRNAs) regulation mechanisms underlying vascular smooth muscle cells (VSMCs) phenotypic modulation, oxidative stress, and cell death in intracranial aneurysms (IAs). As can be seen from the figure, circRNAs play a role both in the development and progression of IA and in the inhibition of IA through the control of VSMC. However, some of them exhibit a double effect as circ_FOXO3 and circ_0020397.
Article Snippet: Leveraging the power of the
Techniques: Inhibition
Journal: Non-coding RNA Research
Article Title: Circular RNAs in intracranial aneurysms: Emerging roles in pathogenesis, diagnosis and therapeutic intervention
doi: 10.1016/j.ncrna.2023.11.012
Figure Lengend Snippet: Benefits of using cell free circular RNAs (circRNAs) as biomarkers.
Article Snippet: Leveraging the power of the
Techniques:
Journal: Non-coding RNA Research
Article Title: Circular RNAs in intracranial aneurysms: Emerging roles in pathogenesis, diagnosis and therapeutic intervention
doi: 10.1016/j.ncrna.2023.11.012
Figure Lengend Snippet: The studied cell free circular RNAs (circRNAs) are presented as non-invasive biomarkers in intracranial aneurysms (IAs).
Article Snippet: Leveraging the power of the
Techniques:
Journal: Non-coding RNA Research
Article Title: Circular RNAs in intracranial aneurysms: Emerging roles in pathogenesis, diagnosis and therapeutic intervention
doi: 10.1016/j.ncrna.2023.11.012
Figure Lengend Snippet: Summary information on the role of circular RNAs (circRNAs) in the formation and development of intracranial aneurysms (IAs).
Article Snippet: Leveraging the power of the
Techniques: Migration, Transformation Assay