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| Status |
Public on Oct 22, 2014 |
| Title |
Integrative Analysis of Transcriptomic and Epigenomic Data to Reveal Regulation Patterns for Osteoporosis Risk [methylome] |
| Organism |
Homo sapiens |
| Experiment type |
Methylation profiling by high throughput sequencing
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| Summary |
In this study, we analyzed transcriptome gene expression microarray, epigenomic miRNA microarray and methylome sequencing data simultaneously in PBMs from 5 high hip BMD subjects and 5 low hip BMD subjects. Through integrating the transcriptomic and epigenomic data, firstly we identified BMD-related genetic factors, including 9 protein coding genes and 2 miRNAs, of which 3 genes (FAM50A, ZNF473 and TMEM55B) and one miRNA (hsa-mir-4291) showed the consistent association evidence from both gene expression and methylation data, and 3 genes (TMEM55B, RNF40 and ALDOA) were confirmed in the meta-analysis of 7 GWAS samples and GEnetic Factors for OSteoporosis consortium (GEFOS-2) GWAS results. Secondly in network analysis we identified an interaction network module with 12 genes and 11 miRNAs including AKT1, STAT3, STAT5A, FLT3, hsa-mir-141 and hsa-mir-34a which have been associated with BMD in previous studies. This module revealed the crosstalk among miRNAs, mRNAs and DNA methylation and showed four potential regulatory patterns of gene expression to influence the BMD status, including regulation by gene methylation, by miRNA and its methylation, by transcription factors and co-regulation by miRNA and gene methylation. In conclusion, the integration of multiple layers of omics can yield more in-depth results than analysis of individual omics data respectively. Integrative analysis from transcriptomics and epigenomic data improves our ability to identify causal genetic factors, and more importantly uncover functional regulation pattern of multi-omics for osteoporosis etiology.
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| Overall design |
5 high hip BMD subjects and 5 low hip BMD subjects
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| Contributor(s) |
Zhang J, Tan L, Xu C, He H, Tian Q, Zhou Y, Qiu C, Chen XD, Deng HW |
| Citation missing |
Has this study been published? Please login to update or notify GEO. |
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| Submission date |
Oct 22, 2014 |
| Last update date |
May 15, 2019 |
| Contact name |
shishi min |
| E-mail(s) |
[email protected]
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| Phone |
15580884581
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| Organization name |
Hunan Normal University
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| Department |
College of life sciences
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| Lab |
Laboratory of Molecular and Statistical Genetics
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| Street address |
Lu shan road
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| City |
Chang sha |
| State/province |
Hunan |
| ZIP/Postal code |
410000 |
| Country |
China |
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| Platforms (1) |
| GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
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| Samples (10)
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| This SubSeries is part of SuperSeries: |
| GSE62589 |
Integrative Analysis of Transcriptomic and Epigenomic Data to Reveal Regulation Patterns for Osteoporosis Risk |
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| Relations |
| BioProject |
PRJNA264490 |
| SRA |
SRP049155 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE62588_Promoter_Methy.txt.gz |
1.1 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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