<?xml version="1.0" encoding="ASCII"?>
<biogps><data><item><item key="name">Expression data from EGFR WT or EGFR mutant NSCLC with or without erlotinib</item><item key="sample_count">32</item><item key="tags"><item>cell</item><item>lung</item><item>nsclc</item></item><item key="slug">expression-data-from-egfr-wt-or-egfr-mutant-nsclc</item><item key="geo_gse_id">E-GEOD-57156</item><item key="species">human</item><item key="id">2023</item><item key="factor_count">3</item></item><item><item key="name">Inactivation of CDK2 is synthetic lethal to MYCN-overexpressing cancer cells</item><item key="sample_count">15</item><item key="tags"><item>cancer</item><item>cell</item><item>line</item><item>neuroblastoma</item></item><item key="slug">inactivation-of-cdk2-is-synthetic-lethal-to-mycn-o</item><item key="geo_gse_id">E-GEOD-16480</item><item key="species">human</item><item key="id">2022</item><item key="factor_count">0</item></item><item><item key="name">Novel strategies to enforce an epithelial phenotype in mesenchymal cells</item><item key="sample_count">3</item><item key="tags"><item>cadherin</item><item>cancer</item><item>e-cadherin</item><item>epithelial phenotype</item><item>membrane</item><item>plasma membrane</item></item><item key="slug">novel-strategies-to-enforce-an-epithelial-phenotyp</item><item key="geo_gse_id">E-GEOD-57660</item><item key="species">human</item><item key="id">2021</item><item key="factor_count">1</item></item><item><item key="name">Identification of beta-cetenin/TCF4 target genes in LS174T colorectal cancer cells using gene expression arrays</item><item key="sample_count">6</item><item key="tags"><item>adenoma</item><item>cancer</item><item>cell</item><item>cell phenotype</item><item>colon</item><item>colorectal cancer</item><item>distal</item><item>finger</item><item>stem cell</item></item><item key="slug">identification-of-beta-cetenintcf4-target-genes-in</item><item key="geo_gse_id">E-GEOD-56896</item><item key="species">human</item><item key="id">2020</item><item key="factor_count">0</item></item><item><item key="name">Global gene expression analysis in macrophages treated with Nutlin-3</item><item key="sample_count">24</item><item key="tags"><item>left</item><item>lipopolysaccharide</item></item><item key="slug">global-gene-expression-analysis-in-macrophages-tre</item><item key="geo_gse_id">E-GEOD-43596</item><item key="species">human</item><item key="id">2019</item><item key="factor_count">3</item></item><item><item key="name">Myocilin regulates cell proliferation and survival by activating the ERK pathway</item><item key="sample_count">6</item><item key="tags"><item>cell</item><item>glaucoma</item><item>glycoprotein</item><item>line</item><item>open-angle glaucoma</item></item><item key="slug">myocilin-regulates-cell-proliferation-and-survival</item><item key="geo_gse_id">E-GEOD-53985</item><item key="species">human</item><item key="id">2018</item><item key="factor_count">0</item></item><item><item key="name">Gene expression in diploid and evolved tetraploid RPE-1 and BJ-1 cells</item><item key="sample_count">11</item><item key="tags"/><item key="slug">gene-expression-in-diploid-and-evolved-tetraploid</item><item key="geo_gse_id">E-GEOD-57864</item><item key="species">human</item><item key="id">2017</item><item key="factor_count">3</item></item><item><item key="name">RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome [microarray]</item><item key="sample_count">5</item><item key="tags"><item>cell</item></item><item key="slug">rna-seq-and-expression-microarray-highlight-differ</item><item key="geo_gse_id">E-GEOD-49891</item><item key="species">human</item><item key="id">2016</item><item key="factor_count">1</item></item><item><item key="name">PBMCs exposed to the Mycobacterium tuberculosis H37Ra strain</item><item key="sample_count">6</item><item key="tags"><item>peripheral</item></item><item key="slug">pbmcs-exposed-to-the-mycobacterium-tuberculosis-h3</item><item key="geo_gse_id">E-GEOD-16250</item><item key="species">human</item><item key="id">2015</item><item key="factor_count">1</item></item><item><item key="name">Integrated bioinformatic and wet-lab approach to identify potential oncogenic networks in neuroblastoma: MSX1</item><item key="sample_count">15</item><item key="tags"><item>cell</item><item>neuroblastoma</item><item>notch</item></item><item key="slug">integrated-bioinformatic-and-wet-lab-approach-to-i</item><item key="geo_gse_id">E-GEOD-16481</item><item key="species">human</item><item key="id">2014</item><item key="factor_count">0</item></item></data></biogps>
