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Series GSE207723 Query DataSets for GSE207723
Status Public on Mar 15, 2023
Title YAP/TAZ-dependent expression of lncRNAs [A549]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Body fluids from cancer patients are informative regarding disease conditions in tumor tissues. Thus, biomarkers detected by liquid biopsy can guide clinicians in designing personalized therapies and may serve as a proxy for treatment success. However, biomarkers that predict the existence of druggable target structures cannot be reliably defined in blood samples due to genetic tumor heterogeneity and presence of molecules from non-tumorous cells. To test the applicability of RNA signatures as liquid biopsy biomarkers, expression data from hepatocellular carcinoma (HCC) cells after inhibition of Hippo pathway effectors is investigated. We show that the oncogene yes-associated protein (YAP) transcriptionally controls a panel of long non-coding RNAs (lncRNAs), which support HCC progression via tumor cell-intrinsic mechanisms. These lncRNAs are detectable and overexpressed in YAPS127A transgenic mouse livers as well as in a subgroup of human HCC tissue and serum samples. Using a machine learning algorithm, a 4 gene lncRNA signature is defined that correlates with the nuclear abundance of YAP in HCC tissues (CYTOR, SNHG1, SNHG17, MIR4435-2HG). Importantly, YAP accumulation in human HCCs is significantly associated with lncRNA signature serum abundance in two independent patient cohorts. Evaluation of expression data and confirmatory experiments illustrate that the lncRNA signature is a robust predictor for YAP activity in other tumor types such as lung adenocarcinoma. Liquid biopsy-based detection of lncRNAs in cancer patients is informative for the activity of transcriptional regulators and can serve as diagnostic tool that guides clinicians in the design of targeted therapies.
 
Overall design 2 different siRNA combinations targeting YAP and TAZ with 4 biological replicates
 
Contributor(s) Rose F, Breuhahn K
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Submission date Jul 08, 2022
Last update date Mar 18, 2023
Contact name Carsten Sticht
Organization name University Heidelberg
Department ZMF
Street address Theodor-Kutzer-Ufer
City Mannheim
ZIP/Postal code 68169
Country Germany
 
Platforms (1)
GPL23227 BGISEQ-500 (Homo sapiens)
Samples (12)
GSM6311058 A549_siCo_rep1
GSM6311059 A549_siYAP/TAZ#1_rep1
GSM6311060 A549_siYAP/TAZ#2_rep1
This SubSeries is part of SuperSeries:
GSE207724 YAP/TAZ-dependent expression of lncRNAs
Relations
BioProject PRJNA856882

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
GSE207723_RAW.tar 8.3 Mb (http)(custom) TAR (of TXT)
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Raw data are available in SRA
Processed data provided as supplementary file

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