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| Status |
Public on Jun 16, 2019 |
| Title |
Cytokeratin 18 knockdown decreases cell apoptosis by regulating the transcription and alternative splicing in Hela cell |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Cytokeratin 18(CK18), one of the major components of intermediate filaments (IF) in simple-type epithelial cells, has been used as the biomarker of several cancers. CK18 has been also reported to be dysregulated in cervical cancers, however, the precise molecular pathways regulated by CK18 remained elusive. In this study, CK18 was knockdown in Hela cells and which led to a significantly decrease of cell apoptosis compared with control cells. The global transcript profile and alternative splicing of CK18 knockdown cells and control were analyzed. A total of 593 differentially expressed genes were identified, and these genes were mainly involved in synaptic transmission, immune response, innate immune response, signal transduction pathways. Strikingly, hundreds of genes were regulated by CK18, which mainly enriched in immune and apoptosis related pathways. In conclusion, our study indicates that CK18 plays important regulatory role in cervical cancers in transcriptional level as well as alternative splicing regulation.
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| Overall design |
transcrptional analysis of CK18 knockdown and control in Hela cells
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| Contributor(s) |
CHENG Y |
| Citation(s) |
31115582 |
| Submission date |
Aug 30, 2018 |
| Last update date |
Jun 16, 2019 |
| Contact name |
Dong Chen |
| Organization name |
ABLife, Inc.
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| Department |
Center for Genome Analysis
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| Street address |
388 GaoXin 2nd Road, East Lake Hi-Tech Development Zone
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| City |
Wuhan |
| State/province |
Hubei |
| ZIP/Postal code |
430075 |
| Country |
China |
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| Platforms (1) |
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| Samples (4)
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| Relations |
| BioProject |
PRJNA488613 |
| SRA |
SRP159174 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE119255_expressed_gene_FPKM.txt.gz |
686.7 Kb |
(ftp)(http) |
TXT |
| GSE119255_expressed_gene_reads.txt.gz |
661.8 Kb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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