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| Status |
Public on Jan 11, 2023 |
| Title |
CDCA7 promotes TGF-β-induced epithelial-mesenchymal transition via transcriptionally regulating Smad4/Smad7 in ESCC |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Purpose：Cell division cycle associated 7 (CDCA7) is a copy number amplification gene that contributes to the metastasis and invasion of tumors, including esophageal squamous cell carcinoma (ESCC). This present study aimed at clarifying whether high expression of CDCA7 promotes the metastasis and invasion of ESCC cell lines and exploring the underlying mechanisms implicated in EMT of ESCC.
Mehtod：We established KYSE150 cell lines in which target gene has been knocked down by shRNA and KYSE180 cell lines in which target gene has been ovexpressed by plasmid.We then performed gene expression profiling analysis using data obtained from RNA-seq of 4 different cells.Each cell has three repetions.
Result：KEGG pathway enrichment analysis on the data of RNA-seq showed that Wnt signaling pathway and TGF-β signaling pathway which are related to EMT process were screened out.
Conclusion：CDCA7 was heavily involved in EMT by regulating the expression of Smad4 and Smad7 in TGF-β signaling pathway.
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| Overall design |
Comparative gene expression profiling analysis of RNA-seq data for KYSE150 cells and its knockdown derivatives (shCDCA7) and KYSE180 cells and its overexpression derivatives(CDCA7) .
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| Contributor(s) |
Li H, Wang S, Zhang H, Weng Y, Guo D, Kong P, Cheng C, Wang Y, Zhang L, Cheng X, Cui Y |
| Citation(s) |
36056599 |
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| Submission date |
Apr 27, 2022 |
| Last update date |
Jan 11, 2023 |
| Contact name |
Hongyi Li |
| E-mail(s) |
me_wyj@126.com
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| Organization name |
Shanxi Medical University
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| Street address |
Xinjian Southroad 56#
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| City |
Taiyuan |
| ZIP/Postal code |
030001 |
| Country |
China |
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| Platforms (1) |
| GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
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| Samples (12)
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| Relations |
| BioProject |
PRJNA832795 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE201735_Processed_data_files.txt.gz |
3.7 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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