Journal: Respiratory Research

Article Title: Exosomal microRNAs of tuberculous pleural effusion orchestrating TGF-β signaling mediate pleural fibrosis

doi: 10.1186/s12931-026-03541-5

Figure Lengend Snippet: Differentially expressed miRNA in exosomes from tuberculous pleural effusion and transudative pleural effusion (as control) by miRNAs sequencing. A Heatmap of differential exosomes miRNAs expression in pleural effusion between control individuals and tuberculous pleurisy patients; n = 9. RPKM values are represented by gradient colors and shown for each sample. Red represents a higher RPKM; blue represents a lower RPKM. Results are based on nine RNA sequencing samples. B Venn diagram showing the overlap between differentially expressed miRNAs in TPE exosomes and transudate exosomes. C Volcanic map of differential exosomes miRNAs expression in pleural effusion between control individuals and tuberculous pleurisy patients. Adjusted P value < 0.05 and fold change > 1 was set as restrictive conditions to identify the differentially expressed genes. D Pathway enrichment analysis showed the significant target genes of differentially expressed miRNAs associated with various KEGG pathways. E The expression of three differentially expressed miRNAs in TPE exosomes and transudate exosomes was verified by RT-qPCR and normalized by the U6. Data are expressed as mean ± SEM. n = 6, **** P < 0.0001 (Paired student’s t-test)

Article Snippet: Exosomes from pleural effusion were obtained by ultracentrifugation of samples isolated from nine control individuals and nine patients with tuberculous pleurisy patients and processed by Novogene Co., Ltd (Beijing, China) for miRNA microarray analysis (lllumina SE50).

Techniques: Control, Sequencing, Expressing, RNA Sequencing, Quantitative RT-PCR

Journal: Respiratory Research

Article Title: Exosomal microRNAs of tuberculous pleural effusion orchestrating TGF-β signaling mediate pleural fibrosis

doi: 10.1186/s12931-026-03541-5

Figure Lengend Snippet: miR-503-5p regulated Smurf1/Smad7 signaling pathway. A , B Venn diagram showing overlap between differentially up-regulated miRNAs in TPE exosomes and miRNAs targeting Smurf1 or Smad7 predicted by the miRTarBase. The online analysis database “miRTarBase” ( https://miRTarBase.cuhk.edu.cn/ ) was used. C Human PMCs were transfected with miR-503-5p mimics (50 nmol/ml) or negative control (NC) for 24 h, after which miR-503-5p expression levels in cells were determined by qRT-PCR and normalized by the U6. D - E Human PMCs were transfected with miR-25-3p mimics or miR-503-5p mimics or miR-92a-3p mimics (50 nmol/ml) or negative control (NC) for 24 h, after which intracellular mRNA levels of Smurf1 were measured by RT-qPCR and normalized to GAPDH ( D ). The protein expression of Smurf1 and TGF-β receptor (TGFBR) were detected by western blotting. Bar graphs revealed changes in relative ratio of Smurf1 and TGFBR to GAPDH. F Human PMCs were transfected with miR-503-5p mimics (50 nmol/ml) or negative control (NC) for 24 h, after which mRNA expression of Smurf1, TGFBR and COL1A1 were detected by qRT-PCR. G Human PMCs were incubated with miR-503-5p mimics. After 24 h, Smurf1 protein was detected by immunofluorescence staining and nuclei with DAPI staining. Bar scale: 50 μm. H - K Human PMCs were transfected with miR-503-5p mimics (50 nmol/ml) or negative control (NC) for 24 h. miR-503-5p expression levels in cells were determined by qRT-PCR and normalized by the U6 ( H ). The protein expression of S Smurf1, TGFBR and COL1A1 were detected by western blotting ( I ). Bar graphs revealed changes in the relative ratio to GAPDH ( J ). mRNA levels of S Smurf1, TGFBR and COL1A1 were measured by RT-qPCR and normalized to GAPDH ( K ). Data are mean ± SEM. n = 3. * P < 0.05 (student’s t-test)

Article Snippet: Exosomes from pleural effusion were obtained by ultracentrifugation of samples isolated from nine control individuals and nine patients with tuberculous pleurisy patients and processed by Novogene Co., Ltd (Beijing, China) for miRNA microarray analysis (lllumina SE50).

Techniques: Transfection, Negative Control, Expressing, Quantitative RT-PCR, Western Blot, Incubation, Immunofluorescence, Staining

Journal: Respiratory Research

Article Title: Exosomal microRNAs of tuberculous pleural effusion orchestrating TGF-β signaling mediate pleural fibrosis

doi: 10.1186/s12931-026-03541-5

Figure Lengend Snippet: Triple miRNAs inhibitor attenuated TPE-Exo induced pleural fibrosis. C57BL/6 mice were intra-pleural injected by using PBS (100 µl/mouse), TPE-Exo (100 µl/mouse), TPE-Exo plus control inhibitor, or TPE-Exo plus triple miRNAs inhibitor with carbon particles (0.1 mg/mouse) as descriptions in the Methods. TPE-Exo from 50 ml TPE was administered at days 1, 5, 9. In TPE-Exo plus triple miRNAs inhibitor group, TPE-Exo was co-incubated with triple miRNAs inhibitor which restrained expressions of miR-150-3p, miR-424-3p and miR-503-5p. All mice were euthanized at day 21, and tissues were taken for analysis. A Representative Masson’s trichrome staining images of visceral pleura from lung sections, parietal pleura from chest wall and diaphragm sections. Original magnification, ×400. B Changes in pleural thickness. C Changes in collagen percentages of visceral and parietal pleura. Data are expressed as mean ± SEM. n = 6 mice. *** P < 0.001 (One-way ANOVA followed by the Bonferroni’s test)

Article Snippet: Exosomes from pleural effusion were obtained by ultracentrifugation of samples isolated from nine control individuals and nine patients with tuberculous pleurisy patients and processed by Novogene Co., Ltd (Beijing, China) for miRNA microarray analysis (lllumina SE50).

Techniques: Injection, Control, Incubation, Staining

Journal: Annals of Medicine

Article Title: MiR-223-3p regulates erythropoiesis by targeting TGFBR3/Smad signaling pathway in hemoglobin H-Constant Spring disease

doi: 10.1080/07853890.2025.2530690

Figure Lengend Snippet: Comparison of the expression profiles of miRNAs(A-C) and mRNAs (D-F) between HbH-CS patients and healthy controls. (A) Scatter plot showing the distribution of miRNA expression. (B) Volcano plot showing the differential expression of miRNAs. (C) The clustering heatmap showed differentially expressed miRNAs between patients with HbH-CS patients and healthy controls. (D) Scatter plot showing the distribution of mRNA expression. (E) Volcano plot showing the differential expression of mRNAs. (F) The clustering heatmap showed differentially expressed mRNAs between patients with HbH-CS patients and healthy controls.

Article Snippet: MiRNAs associated with hematopoietic cell lineage, apoptosis, and cell cycle were searched in the database, which were stratified by Arraystar miRNA expression profiling microarray data filtered according to p < 0.05 and log FC >1.5.

Techniques: Comparison, Expressing, Quantitative Proteomics

Journal: Annals of Medicine

Article Title: MiR-223-3p regulates erythropoiesis by targeting TGFBR3/Smad signaling pathway in hemoglobin H-Constant Spring disease

doi: 10.1080/07853890.2025.2530690

Figure Lengend Snippet: Bioinformatics analysis. (A) Venn diagram showed stratified operations of miRNAs from the original data and online database. (B) Intersection plot of mRNAs from our previous ArrayStar human mRNA array and miR-223-3p target gene predicted by online database. (C) Prediction plot of miR-223-3p target gene. Yellow circled node, miR-223-3p; blue rectangle type node, mRNA. (D, E) The qRT-PCR was performed to detect the relative expression levels of miR-223-3p (D) and TGFBR3 (E) in the samples from healthy normal subjects and HbH-CS patients. Normal group, n = 17; HbH-CS group, n = 17, mean ± SEM, ** p < 0.01, *** p < 0.001.

Article Snippet: MiRNAs associated with hematopoietic cell lineage, apoptosis, and cell cycle were searched in the database, which were stratified by Arraystar miRNA expression profiling microarray data filtered according to p < 0.05 and log FC >1.5.

Techniques: Quantitative RT-PCR, Expressing

Journal: BioMed Research International

Article Title: MicroRNAs as Salivary Markers for Periodontal Diseases: A New Diagnostic Approach?

doi: 10.1155/2016/1027525

Figure Lengend Snippet: Comparison of methods from current investigations regarding miRNAs in periodontal disease.

Article Snippet: Naqvi et al. 2014 [ ] , Human THP-1-differentiated macrophages , miRNeasy kit (Qiagen) , NanoString nCounter miRNA assay (NanoString Technologies) , Quantitative real-time PCR EvaGreen Master Mix (Biotium) , — , RNU6B , Student's t -test (two-tailed) , miR-29b miR-32 miR-146a miR-891.

Techniques: Comparison, RNA Extraction, Biomarker Discovery, Control, In Vitro, Microarray, Isolation, TaqMan microRNA Assay, SYBR Green Assay, Labeling, Real-time Polymerase Chain Reaction, Virus, Quantitative RT-PCR, In Vivo, Expressing, Mann-Whitney U-Test

Journal: Bioengineered

Article Title: Curcumol enhances cisplatin sensitivity of gastric cancer: involvement of microRNA-7 and the nuclear factor-kappa B/snail family transcriptional repressor 1 axis

doi: 10.1080/21655979.2022.2070975

Figure Lengend Snippet: Curcumol upregulates miR-7 expression in GC cells. a, miRNAs with differential expression in cells after curcumol treatment identified by microarray analysis; b, miR-7 expression in cells after 80 μM curcumol treatment examined by RT-qPCR (* p < 0.05; two-way ANOVA); c, miR-7 expression in tumor and the paired normal tissues evaluated by RT-qPCR (n = 33; * p < 0.05; the unpaired t test); d, correlation between miR-7 expression and the patient’s survival (* p < 0.05; Kaplan-Meier analysis); e, miR-7 expression in MKN45 and HGC27 cells after different doses of curcumol treatment examined by RT-qPCR (* p < 0.05, ** p < 0.01; two-way ANOVA).

Article Snippet: This reaction was performed at 37°C for 30 min. After that, the labeled RNA was hybridized with Human miRNA Expression Microarray V4.0 (Arraystar, Rockville, MD, USA) for 24 h. The gene expression data were obtained using a GeneChip TM Scanner 3000 7 G system (#00-0210, 2008, Thermo Fisher Scientific) and analyzed by the R Language Program (Version 3.6.3, R).

Techniques: Expressing, Quantitative Proteomics, Microarray, Quantitative RT-PCR