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Series GSE237256 Query DataSets for GSE237256
Status Public on Dec 04, 2023
Title Transcriptome analysis PIM kinase inhibition vs degradation
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary PIM kinases have important pro-tumorigenic roles and mediate several oncogenic traits, including cell proliferation, survival, and chemotherapeutic resistance. As a result, multiple PIM inhibitors have been pursued as investigational new drugs in cancer; however, response to PIM inhibitors in solid tumors has fallen short of expectations. We found that inhibition of PIM kinase activity stabilizes protein levels of all three PIM isoforms (PIM1/2/3), and this can promote resistance to PIM inhibitors and chemotherapy. To overcome this effect, we designed PIM proteolysis targeting chimeras (PROTACs) to target PIM for degradation. PIM PROTACs effectively downmodulated PIM levels through the ubiquitin-proteasome pathway. Importantly, degradation of PIM kinases was more potent than inhibition of catalytic activity in inducing apoptosis in prostate cancer cell line models. In conclusion, we provide evidence of the advantages of degrading PIM kinases versus inhibiting their catalytic activity to target the oncogenic functions of PIM kinases.
 
Overall design To investigate the effects of inhibiting vs degrading PIM kinases on the transcriptome, PC3 cells were treated with a PIM kinase inhibitor (SGI-1776) or a PROTAC (SGI-1776-VHL-02) at two different concentrations for 48 hours.
 
Contributor(s) Brognard J, Torres-Ayuso P, Katerji M, Warfel NA
Citation(s) 38016478
Submission date Jul 13, 2023
Last update date Dec 04, 2023
Contact name Marcas Agostinelli
E-mail(s) marcus.agostinelli@gmail.com
Phone 8144047650
Organization name Novogene
Department Bioinformatics
Street address 2690 W Avenida Azahar
City Tucson
State/province Arizona
ZIP/Postal code 85745
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (30)
GSM7597877 DMSO Rep 1 (1)
GSM7597878 DMSO Rep 1 (2)
GSM7597879 DMSO Rep 1 (3)
Relations
BioProject PRJNA994475

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
GSE237256_gene_count.xls.gz 3.1 Mb (ftp)(http) XLS
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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