NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE255105 Query DataSets for GSE255105
Status Public on Oct 25, 2024
Title Transcriptome Analysis of Human Cancer Cells with Depleted or Overexpressed STELLA Proteins [RNA-seq]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary UHRF1 maintains DNA methylation by recruiting DNA methyltransferases (DNMT’s) to chromatin. These dynamics are well defined for mouse STELLA (mSTELLA) but poorly characterized for human STELLA (hSTELLA). Herein, we demonstrate that hSTELLA is defective, while mSTELLA is fully proficient in associating with UHRF1 and inhibiting the abnormal DNA methylation and oncogenic functions of UHRF1 in human cancer cells. We illustrate, in structural studies a region of low sequence homology between the above STELLA orthologs, allows mSTELLA but not hSTELLA to bind tightly to the essential histone binding domains of UHRF1, thus mediating their above functional differences. The ortholog-specific binding modes of STELLA proteins with UHRF1 prompt us to explore a rationale for designing UHRF1 inhibitors for cancer therapy. For this, we use a lipid nanoparticle (LNP)-mediated mRNA delivery approach demonstrating the short mSTELLA, but not hSTELLA regions are required to reverse cancer-specific DNA methylation abnormalities and impair CRC tumor growth.
 
Overall design To investigate the role of hSTELLA versus mSTELLA in regulating abnormal DNA hypermethylation associated tumor suppressor genes (TSGs) silencing, we established hSTELLA-knockout isogenic cell clones in BeWo and NCCIT cells. The transcriptome changes induced by hSTELLA-knockout were studied on the cell clones transduced with control sgRNAs (sgSCR) and hSTELLA-targeting sgRNAs. Next, we stably over-expressed both hSTELLA and mSTELLA in both HCT116 and RKO cells, and compared the transcriptome differences (relative to EV) between cells with hSTELLA overexpression and cells with mSTELLA overexpression
To define the key regions mediating the functional differences between hSTELLA and mSTELLA, we designed two chimeric mutants for C-terminal mSTELLA which replace the corresponding sequences from hSTELLA. The two mutants were designated as mSTELLA-Swap1 and mSTELLA-Swap2, respectively. We compared the transcriptome changes induced by these mutants with those induced by mSTELLA and hSTELLA, upon their stable overexpression in UHRF1-deficient HCT116 cells (HCT116_UHRF1_def or HCT116-UHRF1+/-).
Based on the above findings, we utilized a lipid nanoparticle (LNP) approach for delivering mRNAs encoding mSTELLA and mSTELLA-Swap1 into HCT116 cells. Cells treated with LNP-mSTELLA and LNP-mSTELLA-Swap1 were collected at Days 2, 6 and 10, and the transcriptome differences for each group were compared at each time point.
 
Contributor(s) Bai W, Gu W, Cui Y, Guo H, Xia C, Baylin SB, Kong X
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Feb 05, 2024
Last update date Oct 25, 2024
Contact name Wenbin Gu
E-mail(s) epoch1991@gmail.com
Organization name Guangzhou Institutes of Biomedicine and Health
Department Chinese Academy of Sciences
Lab Center for Chemical Biology and Drug Discovery
Street address 190 Kaiyuan Avenue, Huangpu District, Guangzhou
City Guangzhou
ZIP/Postal code 510530
Country China
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (51)
GSM8064163 BeWo_SCR-c1
GSM8064164 BeWo_SCR-c2
GSM8064165 BeWo_SCR-c3
Relations
BioProject PRJNA1073525

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE255105_RAW.tar 76.3 Mb (http)(custom) TAR (of TXT)
GSE255105_TPM_all.txt.gz 6.5 Mb (ftp)(http) TXT
GSE255105_all_gene_counts.txt.gz 3.1 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap