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Journal: Frontiers in Endocrinology
Article Title: Characterization of lncRNA Profiles of Plasma-Derived Exosomes From Type 1 Diabetes Mellitus
doi: 10.3389/fendo.2022.822221
Figure Lengend Snippet: Primer list. F- refers to the forward sequence, R- refers to the reverse sequence, and P- refers to the probe sequence.
Article Snippet:
Techniques: Sequencing
Journal: Frontiers in Endocrinology
Article Title: Characterization of lncRNA Profiles of Plasma-Derived Exosomes From Type 1 Diabetes Mellitus
doi: 10.3389/fendo.2022.822221
Figure Lengend Snippet: The procedures of exosomal lncRNA sequencing and bioinformatics analysis.
Article Snippet:
Techniques: Sequencing
Journal: Frontiers in Endocrinology
Article Title: Characterization of lncRNA Profiles of Plasma-Derived Exosomes From Type 1 Diabetes Mellitus
doi: 10.3389/fendo.2022.822221
Figure Lengend Snippet: Plasma-derived exosomal lncRNA profiles of case and control group. A heatmap (A) , volcano diagram (B) , and MA plot (C) of the 162 differentially expressed exosomal lncRNAs in T1DM and control subjects. G1: control group; G2: case group.
Article Snippet:
Techniques: Clinical Proteomics, Derivative Assay, Control
Journal: Frontiers in Endocrinology
Article Title: Characterization of lncRNA Profiles of Plasma-Derived Exosomes From Type 1 Diabetes Mellitus
doi: 10.3389/fendo.2022.822221
Figure Lengend Snippet: The detailed information of the differentially expressed exosomal lncRNAs.
Article Snippet:
Techniques:
Journal: Frontiers in Endocrinology
Article Title: Characterization of lncRNA Profiles of Plasma-Derived Exosomes From Type 1 Diabetes Mellitus
doi: 10.3389/fendo.2022.822221
Figure Lengend Snippet: GO terms of cis-acting genes of differentially expressed exosomal lncRNAs. GO categories of differentially expressed lncRNAs (A) . Top 20 significant enriched biological processes (B) , cellular components (C) , and molecular functions (D) of differentially expressed lncRNAs.
Article Snippet:
Techniques:
Journal: Frontiers in Endocrinology
Article Title: Characterization of lncRNA Profiles of Plasma-Derived Exosomes From Type 1 Diabetes Mellitus
doi: 10.3389/fendo.2022.822221
Figure Lengend Snippet: GO terms of trans-acting genes of differentially expressed exosomal lncRNAs. GO categories of differentially expressed lncRNAs (A) . Top 20 significant enriched biological processes (B) , cellular components (C) , and molecular functions (D) of differentially expressed lncRNAs.
Article Snippet:
Techniques:
Journal: Frontiers in Endocrinology
Article Title: Characterization of lncRNA Profiles of Plasma-Derived Exosomes From Type 1 Diabetes Mellitus
doi: 10.3389/fendo.2022.822221
Figure Lengend Snippet: The qRT-PCR analysis of selected six exosomal lncRNAs in T1DM and control subjects (T1DM subjects N=30; age-, sex- matched Control subjects N=30). G1: control group; G2: case group.
Article Snippet:
Techniques: Quantitative RT-PCR, Control
Journal: Frontiers in Genetics
Article Title: Identification of Potential Long Non-coding RNA Expression Quantitative Trait Methylations in Lung Adenocarcinoma and Lung Squamous Carcinoma
doi: 10.3389/fgene.2020.602035
Figure Lengend Snippet: Identification of DMSs and their corresponding DMSmlncRNAs in LUAD and LUSC. (A) Barplot showing the number of DMSs in LUAD (green) and LUSC (orange). (B) Barplot showing the number of DMSmlncRNAs in LUAD and LUSC. (C) Pie charts showing the percentages of up- (red) and downregulated (blue) DMSs in lincRNAs and other lncRNAs in LUAD and LUSC. (D) Radar maps showing the top DMSmlncRNAs with the highest numbers of DMSs in LUAD. (E) Radar maps showing the top DMSmlncRNAs with the highest numbers of DMSs in LUSC. (F) Venn diagrams showing common DMSs in genes encoding lincRNAs and other lncRNAs in LUAD (green) and LUSC (orange).
Article Snippet:
Techniques:
Journal: Frontiers in Genetics
Article Title: Identification of Potential Long Non-coding RNA Expression Quantitative Trait Methylations in Lung Adenocarcinoma and Lung Squamous Carcinoma
doi: 10.3389/fgene.2020.602035
Figure Lengend Snippet: Construction of LUAD- and LUSC-specific lnc-eQTM networks. (A) Violin plot showing PCCs between DMSs and corresponding DMSmlncRNAs in LUAD and normal tissues. (B) Violin plot showing PCCs between DMSs and corresponding DMSmlncRNAs in LUSC and normal tissues. (C) Lollipop graph showing the number of lnc-eQTMs, negative lnc-eQTMs, positive lnc-eQTMs, DMSs, and lncRNAs in LUAD. (D) Lollipop graph showing the number of lnc-eQTMs, negative lnc-eQTMs, positive lnc-eQTMs, DMSs, and lncRNAs in LUSC. (E) LUAD-specific network. Orange and green represent lncRNA and methylation sites; red and blue edges represent positive and negative interactions; and thicker edges and bigger nodes represent stronger interactions and higher degrees, respectively. (F) LUSC-specific network.
Article Snippet:
Techniques: Methylation
Journal: Frontiers in Genetics
Article Title: Identification of Potential Long Non-coding RNA Expression Quantitative Trait Methylations in Lung Adenocarcinoma and Lung Squamous Carcinoma
doi: 10.3389/fgene.2020.602035
Figure Lengend Snippet: Some lnc-eQTMs were associated with LUAD and LUSC patients’ survival. (A) An integrated model for identifying prognosis-related lnc-eQTMs. Firstly, a multivariate Cox regression model was established for the methylations related to the same DMSmlncRNA in a specific lnc-eQTM. Secondly, the integrated risk score for each lung cancer patient was calculated according to the linear combination of the lncRNA expression values weighted by the coefficient from multivariate Cox regression analysis. Thirdly, all the patients were divided to high- and low-risk group for follow survival analysis. (B) The P -values of prognosis-related lnc-eQTMs in LUSC. (C) Survival curves of AC005082.12 in LUAD. (D) Survival curves of RP11-701P16.5 in LUSC.
Article Snippet:
Techniques: Expressing