MicroRNAs Expression Profiles and the target genes in Chinese Non-syndromic isolated Cleft Palate Patients
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE47939 | GEO | 2013/06/14
SECONDARY ACCESSION(S): PRJNA208406
REPOSITORIES: GEO
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Project description:MicroRNAs (miRNAs) play an important role in organ development. MicroRNA expression profiling is an effective method of acquiring novel and valuable information. In this study, using miRNA microarray technology, we finally validate three over-expressed miRNAs (hsa-miR-1246, hsa-miR-1323 and hsa-miR-93) and one under-expressed miRNA (hsa-miR-143*) in NSCP group. Target gene WNT5A of hsa-miR-143* was up-regulated, while target gene FGFR2 of hsa-miR-1246, hsa-miR-1323 and hsa-miR-93 was down-regulated in the NSCP group compared to the control group. The association of miRNAs expression levels with the risk of developing NSCP, the correlation with age and gender were analyzed. The risk analysis identified that odds ratio (95% CI) of hsa-miR-1246, hsa-miR-1323 and hsa-miR-93 was higher ranged from 9.75 (1.642-57.89) to 13.67 (2.480-75.30) and pM-oM-<M-^\0.05. Neither age nor gender was associated with the four miRNAs expression levels. In male cases, the association of hsa-miR-1246, hsa-miR-1323, hsa-miR-93 and hsa-miR-143* expression levels with NSCP was observed and the p value was 0.0012, 0.0008, 0.0088 and 0.0385, respectively. Bioinformatics approaches identified nine KEGG pathways enriched in predicted target genes. In summary, we firstly defined miRNAs profiles and target genes in human soft palate tissue. Four distinctive miRNAs and their target genes expression in NSCP will advance our understanding of the genetic progress of this complex disease. Further exploration will be needed to elucidate how these miRNAs and target genes modulate signaling pathways during palatogenesis. Two-condition experiment, control (normal development people) vs. NSCP patients. Biological replicates: 6 control replicates, 10 NSCP patients replicates.
2013-06-14 | E-GEOD-47939 | biostudies-arrayexpress
Project description:Microglia were derived from iPSCs and treated with mimics and inhibitors of the miRNAs hsa-miR-150-5p, hsa-miR-193a-3p and hsa-miR-19b-3p. RNA-sequencing was then performed to examine the effects of up- and down-regulation of the respective miRNAs.
| EGAD00001006842 | EGA
Project description:To gain insights into the in vivo function of miRNAs in the context of periodontitis, we examined the occurrence of miRNAs in healthy and diseased gingival tissues and validated their in silico-predicted targets through mRNA profiling using whole-genome microarrays in the same specimens. Eighty-six individuals with periodontitis contributed 198 gingival papillae: 158 'diseased' (bleeding-on-probing, PD > 4 mm, and AL ≥ 3 mm) and 40 'healthy' (no bleeding, PD ≤ 4 mm, and AL ≤ 2 mm). Expression of 1,205 miRNAs was assessed by microarrays, followed by selected confirmation by quantitative RT-PCR. Predicted miRNA targets were identified and tested for enrichment by Gene Set Enrichment Analysis (GSEA). Enriched gene sets were grouped in functional categories by DAVID and Ingenuity Pathway Analysis. One hundred fifty-nine miRNAs were significantly differentially expressed between healthy and diseased gingiva. Four miRNAs (hsa-miR-451, hsa-miR-223, hsa-miR-486-5p, hsa-miR-3917) were significantly overexpressed, and 7 (hsa-miR-1246, hsa-miR-1260, hsa-miR-141, hsa-miR-1260b, hsa-miR-203, hsa-miR-210, hsa-miR-205*) were underexpressed by > 2-fold in diseased vs. healthy gingiva. GSEA and additional filtering identified 60 enriched miRNA gene sets with target genes involved in immune/inflammatory responses and tissue homeostasis. This is the first study that concurrently examined miRNA and mRNA expression in gingival tissues and will inform mechanistic experimentation to dissect the role of miRNAs in periodontal tissue homeostasis and pathology.
2014-02-05 | GSE54710 | GEO
Project description:Since the intronic mutation in SLC2A2 did not influence the activity of GLUT2, we undertook more investigation to understand the underlying molecular mechanisms of dysglycemia in FBS. We ran Nanostring miRNA panel v3b covering ~800 miRNAs in the patient, mother, and aged- and gender-matching healthy controls with no family history of dysglycemia. We noticed a higher degree of correlation between the patient and the gender and age-matched healthy control, rather than between the patient and the mother, suggesting that the miRNA expression profile might be more influenced by the age and gender rather than relatedness (Supplementary Fig. S5). The unsupervised hierarchical clustering revealed 123 miRs expressed specifically in the patient sample (Supplementary Table S2). The function of these miRNAs was interrogated by using Ingenuity Pathway (IPA) analysis software which returned 118 mapped miRs (Fig. 10). Here we report 30 miRNAs with the highest number of counts difference in the patient in comparison to controls (Fig. 11). We found that 14 of them were correlated with T1DM: 10 miRNAs (miR-199a, miR-25-3p, miR-93-5p, miR-19b-3p, miR-107, miR-24-3p. miR-18a-5p, miR-125b-5p, miR-324-5p, miR-331-3p, and hsa-miR-143-3p) were overexpressed in the control as compared to the patient, and 3 miRNAs (miR-144-3p , let-7e-5p, hsa-miR-29a-3p) were significantly overexpressed in the patient in comparison to the control. Molecular networks, including molecules inferred from previous studies, were generated by IPA functional analysis software (Supplementary Fig. S6). The molecular networks were given a score based on the number of molecules represented in the study dataset as compared to the literature. Network 1 (score 33) includes the genes and miRNAs implicated in organismal injury and abnormalities, skeletal and muscular system development and function, and tissue morphology. The miR-144 family integrated into the network 1. Network 2 (score 31) includes insulin and other genes and miRNAs implicated in glomerular injury, inflammatory disease, inflammatory response, and included miR-29 and let-7 families. These results suggest that dysglycemia in the patient with intronic mutation might be associated with the deregulation of miRNAs involved in insulin production and secretion in beta cells.
2022-09-28 | GSE198677 | GEO
Project description:Brain tumor neurospheres (BTCSs) are cancer cells with neural stem cell-like properties found in the fatal brain tumor glioblastoma multiforme (GBM). These cells account for less than 1% of total tumor cells, are poorly differentiated and are believed to be involved in tumor induction, progression, treatment resistance and relapse. Specific miRNAs play important roles in modulating the proliferation and differentiation of neural stem cells, therefore, we aimed to identify miRNAs controlling differentiation in GBM-BTSCs through high throughput screening miRNA array profiling. We compared the miRNA expression profiles at the neurosphere state and upon 4 and 14 days of differentiation by using LIMMA, finding 21 differentially expressed miRNAs : hsa-miR-103, hsa-miR-106a, hsa-miR-106b, hsa-miR-15b, hsa-miR-17, hsa-miR-19a, hsa-miR-20a, hsa-miR-25, hsa-miR-301a and hsa-miR-93 were found up-regulated upon differentiation, while hsa-miR-100, hsa-miR-1259, hsa-miR-21, hsa-miR-22, hsa-miR-221, hsa-miR-222, hsa-miR-23b, hsa-miR-27a, hsa-miR-27b, hsa-miR-29a and hsa-miR-29b were down-regulated. Expression of 11 of the 21 miRNAs was examined by qPCR and 7 of them were validated: hsa-miR-21, hsa-miR-29a, hsa-miR-29b, hsa-miR-221 and hsa-miR-222 increased their expression upon differentiation, while hsa-miR-93 and hsa-miR-106a were inhibited. Functional studies demonstrated that miR-21 over-expression induced the expression of glial and/or neuronal cell markers in the neurospheres, possibly due to SPRY1 targeting by miR-21 in these cells, while miR-221 and miR-222 inhibition at the differentiated state reduced the expression of those differentiation markers. On the other hand, miR-29a and miR-29b targeted MCL1 in the GBM neurospheres and increased apoptotic cell death.
2013-03-05 | GSE44842 | GEO
Project description:Brain tumor neurospheres (BTCSs) are cancer cells with neural stem cell-like properties found in the fatal brain tumor glioblastoma multiforme (GBM). These cells account for less than 1% of total tumor cells, are poorly differentiated and are believed to be involved in tumor induction, progression, treatment resistance and relapse. Specific miRNAs play important roles in modulating the proliferation and differentiation of neural stem cells, therefore, we aimed to identify miRNAs controlling differentiation in GBM-BTSCs through high throughput screening miRNA array profiling. We compared the miRNA expression profiles at the neurosphere state and upon 4 and 14days of differentiation by using LIMMA, finding 21 differentially expressed miRNAs : hsa-miR-103, hsa-miR-106a, hsa-miR-106b, hsa-miR-15b, hsa-miR-17, hsa-miR-19a, hsa-miR-20a, hsa-miR-25, hsa-miR-301a and hsa-miR-93 were found up-regulated upon differentiation, while hsa-miR-100, hsa-miR-1259, hsa-miR-21, hsa-miR-22, hsa-miR-221, hsa-miR-222, hsa-miR-23b, hsa-miR-27a, hsa-miR-27b, hsa-miR-29a and hsa-miR-29b were down-regulated. Expression of 11 of the 21 miRNAs was examined by qPCR and 7 of them were validated: hsa-miR-21, hsa-miR-29a, hsa-miR-29b, hsa-miR-221 and hsa-miR-222 increased their expression upon differentiation, while hsa-miR-93 and hsa-miR-106a were inhibited. Functional studies demonstrated that miR-21 over-expression induced the expression of glial and/or neuronal cell markers in the neurospheres, possibly due to SPRY1 targeting by miR-21 in these cells, while miR-221 and miR-222 inhibition at the differentiated state reduced the expression of those differentiation markers. On the other hand, miR-29a and miR-29b targeted MCL1 in the GBM neurospheres and increased apoptotic cell death.
2013-03-05 | GSE44841 | GEO
Project description:To gain insights into the in vivo function of miRNAs in the context of periodontitis, we examined the occurrence of miRNAs in healthy and diseased gingival tissues and validated their in silico-predicted targets through mRNA profiling using whole-genome microarrays in the same specimens. Eighty-six individuals with periodontitis contributed 198 gingival papillae: 158 'diseased' (bleeding-on-probing, PD > 4 mm, and AL M-bM-^IM-% 3 mm) and 40 'healthy' (no bleeding, PD M-bM-^IM-$ 4 mm, and AL M-bM-^IM-$ 2 mm). Expression of 1,205 miRNAs was assessed by microarrays, followed by selected confirmation by quantitative RT-PCR. Predicted miRNA targets were identified and tested for enrichment by Gene Set Enrichment Analysis (GSEA). Enriched gene sets were grouped in functional categories by DAVID and Ingenuity Pathway Analysis. One hundred fifty-nine miRNAs were significantly differentially expressed between healthy and diseased gingiva. Four miRNAs (hsa-miR-451, hsa-miR-223, hsa-miR-486-5p, hsa-miR-3917) were significantly overexpressed, and 7 (hsa-miR-1246, hsa-miR-1260, hsa-miR-141, hsa-miR-1260b, hsa-miR-203, hsa-miR-210, hsa-miR-205*) were underexpressed by > 2-fold in diseased vs. healthy gingiva. GSEA and additional filtering identified 60 enriched miRNA gene sets with target genes involved in immune/inflammatory responses and tissue homeostasis. This is the first study that concurrently examined miRNA and mRNA expression in gingival tissues and will inform mechanistic experimentation to dissect the role of miRNAs in periodontal tissue homeostasis and pathology. The dataset comprise 200 gingival tissue samples from 86 patients with periodontitis. All samples are included in this series, but 2 where not included in the study, as they did not pass our QC. Each patient has one or more healthy and disease sample and samples can be of chronic or aggressive periodontitis type.
2014-02-05 | E-GEOD-54710 | biostudies-arrayexpress
Project description:Brain tumor neurospheres (BTCSs) are cancer cells with neural stem cell-like properties found in the fatal brain tumor glioblastoma multiforme (GBM). These cells account for less than 1% of total tumor cells, are poorly differentiated and are believed to be involved in tumor induction, progression, treatment resistance and relapse. Specific miRNAs play important roles in modulating the proliferation and differentiation of neural stem cells, therefore, we aimed to identify miRNAs controlling differentiation in GBM-BTSCs through high throughput screening miRNA array profiling. We compared the miRNA expression profiles at the neurosphere state and upon 4 and 14days of differentiation by using LIMMA, finding 21 differentially expressed miRNAs : hsa-miR-103, hsa-miR-106a, hsa-miR-106b, hsa-miR-15b, hsa-miR-17, hsa-miR-19a, hsa-miR-20a, hsa-miR-25, hsa-miR-301a and hsa-miR-93 were found up-regulated upon differentiation, while hsa-miR-100, hsa-miR-1259, hsa-miR-21, hsa-miR-22, hsa-miR-221, hsa-miR-222, hsa-miR-23b, hsa-miR-27a, hsa-miR-27b, hsa-miR-29a and hsa-miR-29b were down-regulated. Expression of 11 of the 21 miRNAs was examined by qPCR and 7 of them were validated: hsa-miR-21, hsa-miR-29a, hsa-miR-29b, hsa-miR-221 and hsa-miR-222 increased their expression upon differentiation, while hsa-miR-93 and hsa-miR-106a were inhibited. Functional studies demonstrated that miR-21 over-expression induced the expression of glial and/or neuronal cell markers in the neurospheres, possibly due to SPRY1 targeting by miR-21 in these cells, while miR-221 and miR-222 inhibition at the differentiated state reduced the expression of those differentiation markers. On the other hand, miR-29a and miR-29b targeted MCL1 in the GBM neurospheres and increased apoptotic cell death. Gene expression in differentiated cells relative to neurospheres in four different glioblastoma cultures
2013-03-05 | E-GEOD-44841 | biostudies-arrayexpress
Project description:Brain tumor neurospheres (BTCSs) are cancer cells with neural stem cell-like properties found in the fatal brain tumor glioblastoma multiforme (GBM). These cells account for less than 1% of total tumor cells, are poorly differentiated and are believed to be involved in tumor induction, progression, treatment resistance and relapse. Specific miRNAs play important roles in modulating the proliferation and differentiation of neural stem cells, therefore, we aimed to identify miRNAs controlling differentiation in GBM-BTSCs through high throughput screening miRNA array profiling. We compared the miRNA expression profiles at the neurosphere state and upon 4 and 14 days of differentiation by using LIMMA, finding 21 differentially expressed miRNAs : hsa-miR-103, hsa-miR-106a, hsa-miR-106b, hsa-miR-15b, hsa-miR-17, hsa-miR-19a, hsa-miR-20a, hsa-miR-25, hsa-miR-301a and hsa-miR-93 were found up-regulated upon differentiation, while hsa-miR-100, hsa-miR-1259, hsa-miR-21, hsa-miR-22, hsa-miR-221, hsa-miR-222, hsa-miR-23b, hsa-miR-27a, hsa-miR-27b, hsa-miR-29a and hsa-miR-29b were down-regulated. Expression of 11 of the 21 miRNAs was examined by qPCR and 7 of them were validated: hsa-miR-21, hsa-miR-29a, hsa-miR-29b, hsa-miR-221 and hsa-miR-222 increased their expression upon differentiation, while hsa-miR-93 and hsa-miR-106a were inhibited. Functional studies demonstrated that miR-21 over-expression induced the expression of glial and/or neuronal cell markers in the neurospheres, possibly due to SPRY1 targeting by miR-21 in these cells, while miR-221 and miR-222 inhibition at the differentiated state reduced the expression of those differentiation markers. On the other hand, miR-29a and miR-29b targeted MCL1 in the GBM neurospheres and increased apoptotic cell death. Five GBM cell lines at the neurosphere state or after 4 or 14 days of differentiation
2013-03-05 | E-GEOD-44842 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are short non-coding RNAs that are involved in post-transcriptional control of gene expression. The objective of this case-control study was to explore circulating miRNAs in young individuals with long-duration type 1 diabetes (T1D) and healthy controls. Twelve adolescents, age 15.0–17.9 years, with T1D duration of more than 8 years (mean 11.1 years), were enrolled from the Swedish diabetes quality registry. An age-matched control group (n = 12) was recruited. Circulating miRNAs (n = 187) were analyzed by quantitative PCR. We observed that 27 miRNAs were upregulated and one was downregulated in T1D. Six of these miRNAs were tissue-enriched (blood cells, gastrointestinal, nerve, and thyroid tissues). Six miRNAs with the largest difference in plasma, five up-regulated (hsa-miR-101-3p, hsa-miR-135a-5p, hsa-miR-143-3p, hsa-miR-223-3p and hsa-miR-410-3p (novel for T1D)) and one down-regulated (hsa-miR-495-3p), with P-values below 0.01, were selected for further in-silico analyses. AKT1, VEGFA and IGF-1 were identified as common targets. In conclusion, 28 of the investigated miRNAs were differently regulated in long-duration T1D in comparison with controls. Several associations with cancer were found for the six miRNAs with the largest difference in plasma. Circulating miRNAs are potential biomarkers and treatment targets with clinical implications for diabetes-related complications.
2023-10-18 | GSE226755 | GEO