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| Status |
Public on Jun 20, 2017 |
| Title |
Aneuploidy triggers an immune response |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Aneuploidy, a state of karyotype imbalance, is a hallmark of cancer. Changes in chromosome copy number have been proposed to drive disease by modulating the dosage of cancer driver genes and by promoting cancer genome evolution. Given the potential of cells with abnormal karyotypes to become cancerous, do pathways exist that limit the prevalence of such cells? By investigating the immediate consequences of aneuploidy on cell physiology, we identified mechanisms that eliminate aneuploid cells. We find that chromosome mis-segregation leads to replication stress, generating further genomic instability, increased karyotype complexity, and ultimately cell cycle arrest. Cells with complex karyotypes exhibit features of senescence and a pro-inflammatory response that promotes their clearance by the immune system. We propose that cells with abnormal karyotypes generate a signal for their own elimination that might well be a source of cancer cell immunosurveillance that must be overcome during malignant transformation.
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| Overall design |
Assay the transcriptional impact of aneuploidy by comparing the transcriptomes Euploid control RPE-1 cells in Aneuploid cycling RPE-1 cells and Aneuploid arrested RPE-1 cells using RNA-Seq.
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| Contributor(s) |
Santaguida S, Richardson A, Iyer D, M'Saad O, Zasadil L, Knouse K, Wong Y, Rhind N, Desai A, Amon A |
| Citation(s) |
28633018 |
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| Submission date |
Jun 23, 2016 |
| Last update date |
May 15, 2019 |
| Contact name |
Charles Arthur Whittaker |
| E-mail(s) |
charliew@mit.edu
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| Organization name |
Koch Institute
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| Street address |
77 Mass Ave 76-189
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| City |
Cambridge |
| State/province |
MA |
| ZIP/Postal code |
02152 |
| Country |
USA |
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| Platforms (1) |
| GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
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| Samples (8)
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| Relations |
| BioProject |
PRJNA326596 |
| SRA |
SRP076983 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE83647_Stefano_count_FPKM.txt.gz |
1.2 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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