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| Status |
Public on Mar 02, 2016 |
| Title |
A systematic analysis of the time series gene expression in TGF-beta induced EMT by Next-generation sequencing |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
The goal of this study is to characterize time course gene expression profiles during TGF-beta induced EMT. In particular, we aim to identify and characterize master transcription factors regulate the transition into partial-EMT state.
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| Overall design |
A time series mRNA profile in A549 cells is generated from TGF-beta induced EMT samples during 0h,6h,12h,24h,36h,48h,72h and 96h by deep sequencing, in duplicate, using Illumina HiSeq 2500
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| Contributor(s) |
Chang H, Xue M |
| Citation(s) |
26926107 |
| Submission date |
Jun 08, 2015 |
| Last update date |
May 15, 2019 |
| Contact name |
Mengzhu Xue |
| E-mail(s) |
xuemz@sari.ac.cn
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| Organization name |
Shanghai Advanced Research Institute
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| Street address |
No.100, Haike Road
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| City |
Shanghai |
| ZIP/Postal code |
201210 |
| Country |
China |
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| Platforms (1) |
| GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
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| Samples (16)
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| Relations |
| BioProject |
PRJNA286131 |
| SRA |
SRP059252 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE69667_RNASEQ_TPM_rep1.txt.gz |
1.0 Mb |
(ftp)(http) |
TXT |
| GSE69667_RNASEQ_TPM_rep2.txt.gz |
1.0 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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