Gene Expression Nebulas
A data portal of transcriptomic profiles across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJNA431798: RNA Sequencing analysis of different genetically characterized lung cancer cell lines

Source: NCBI / GSE109720
Submission Date: Jan 26 2018
Release Date: Jul 25 2018
Update Date: Jul 25 2018

Summary: We performed RNA sequencing to assess changes in gene expression in lung cancer cell lines with MET genetic alterations with or without co-occurrence of JAK2 inactivating mutations. Different treatments have been administrated to activate or inhibit selected pathways in order to define MET signature and IFNg (or JAK/STAT) signature.

Overall Design: Differential expression analysis of RNA sequencing of 4 different lung cancer cell lines with MET genetic alterations treated with different treatements to activate or inhibit selected pathways

GEN Datasets:
Healthy Condition:
Cell Type:
Cell Line:
Growth Protocol: -
Treatment Protocol: NT; Crizotinib; Interferon ╬│; Crizotinib + Hepatocyte growth factor (HGF); Crizotinib +HGF; Hepatocyte growth factor (HGF)
Extract Protocol: Maxell® RSC SimplyRNA Tissue, TruSeq Stranded mRNA (polyA)
Library Construction Protocol: NA
Molecule Type: poly(A)+ RNA
Library Source:
Library Layout: PAIRED
Library Strand: Forward
Platform: ILLUMINA
Instrument Model: Illumina HiSeq 2000
Strand-Specific: Specific
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Assessing Quality:
Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
MET-Oncogenic and JAK2-Inactivating Alterations Are Independent Factors That Affect Regulation of PD-L1 Expression in Lung Cancer.
Clinical cancer research : an official journal of the American Association for Cancer Research . 2018-06-13 [PMID: 29898990]