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Yap1 activation enables bypass of oncogenic Kras addiction in pancreatic cancer (part 1)

GSE53167 Mus musculus (mouse) Expression microarray 36 samples Submitted 2014/12/31 Platform GPL1261
At a glance

Expression microarray · mouse · 36 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
36 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Activating mutations in KRAS are among the most frequent events in diverse human carcinomas and are particularly prominent in human pancreatic ductal adenocarcinoma (PDAC). An inducible KrasG12D-driven mouse model of PDAC has established a critical role for sustained KrasG12D expression in tumor maintenance, providing a model to determine the potential for, and underlying mechanisms of, KrasG12D–independent PDAC recurrence.
Read the full summary ↓
Here we show that some tumors undergo spontaneous relapse and are devoid of KrasG12D expression and downstream canonical MAPK signaling and instead acquired amplification and overexpression of the transcriptional co-activator Yap1. Functional studies established the role of Yap1 and the transcriptional factor Tead2 in driving KrasG12D–independent tumor maintenance. The Yap1/Tead2 complex acts cooperatively with E2F transcription factors to activate a cell cycle and DNA replication program. Our studies, along with corroborating evidence from human PDAC models, portend a novel mechanism of escape from oncogenic Kras addiction in PDAC.
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE53167_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA231036. Searching any of these in the dataset finder brings you back here.

Samples in this study

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