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| Status |
Public on May 18, 2024 |
| Title |
AP-1 regulates heterogeneous cellular dormancy in TNBC II |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Slow-cycling cells (SCCs) are a heterogeneous subpopulation of tumor cells. They pre-exist in tumor tissues and evade killing by chemotherapeutics that target mitosis due to their dormant nature. We here utilized PKH26 retaining method to label and isolate SCCs, and RNA-seq was performed to understand the gene expression characteristics of SCCs. Here we reported that up-regulations of AP-1 subunits regulate triple negative breast cancer (TNBC) dormancy by up-regulating the expression of CDKN1A and GADD45 family as transcription factors.
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| Overall design |
To investigate the gene expression characteristic of slow-cycling cells (SCCs), we first labeled MDA-MB-231 cells with PKH26 and chased in complete DMEM for 12 days. SCCs retain more PKH26 after multiple mitoses due to their slow-cycling nature. We then sorted cells with top 1% PE fluorescence intensity as SCCs by FACS. We also sorted cells with moderate fluorescence intensity as rapid cycling cells (RCCs) / proliferating cells control. Three biological replicates were collected from each group. We performed gene expression profiling assay using data obtained from RNA-seq of 6 samples (two groups with three biological replicates per group). Comparative gene expression profiling analysis of RNA-seq data for SCCs (dormant) and RCCs (proliferating).
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| Contributor(s) |
Dong Y, Tang DG |
| Citation(s) |
38868025 |
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| Submission date |
May 17, 2024 |
| Last update date |
Jun 28, 2024 |
| Contact name |
Yang Dong |
| E-mail(s) |
1810441@tongji.edu.cn
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| Phone |
19542707574
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| Organization name |
Tongji University
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| Street address |
Shanghai
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| City |
Shanghai |
| State/province |
上海 |
| ZIP/Postal code |
200120 |
| Country |
China |
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| Platforms (1) |
| GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
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| Samples (6)
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| Relations |
| BioProject |
PRJNA1112806 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE267759_gene_count.txt.gz |
2.4 Mb |
(ftp)(http) |
TXT |
| GSE267759_gene_fpkm.txt.gz |
3.1 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
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