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Series GSE267759 Query DataSets for GSE267759
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
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.
 
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).
 
Contributor(s) Dong Y, Tang DG
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Submission date May 17, 2024
Last update date May 18, 2024
Contact name Yang Dong
E-mail(s) 1810441@tongji.edu.cn
Phone 19542707574
Organization name Tongji University
Street address Shanghai
City Shanghai
State/province 上海
ZIP/Postal code 200120
Country China
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (6)
GSM8275232 MDA-MB-231 cells, SCCs,rep1
GSM8275233 MDA-MB-231 cells, SCCs,rep2
GSM8275234 MDA-MB-231 cells, SCCs,rep3
Relations
BioProject PRJNA1112806

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Series Matrix File(s) TXTHelp

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
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Raw data are available in SRA

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