<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Wengui Shi</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-15692</full_dataset_link><description>To identify differentially expressed genes between apatinib-sensitive and apatinib-resistant HUVECs, one apatinib-sensitive and one -resistant primary human umbilical vein endothelial cells (HUVECs) were treated with apatinib for 48 hours. After treatment, cells were harvested and total RNA was extracted. The quantity and integrity of the RNA were evaluated and sequencing libraries were constructed.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Sample Collection - Apatinib sensitive and resistant primary HUVECs were cultured in 2 μmol/L apatinib for 48 h, and collected for RNA isolation.</sample_protocol><sample_protocol>Library Construction - Sequencing libraries were prepared using the NEBNext Ultra RNA Library Prep Kit for Illumina, and library quality was assessed using the Agilent 2100 Bioanalyzer System (Agilent Technologies).</sample_protocol><sample_protocol>Nucleic Acid Extraction - Total RNA was extracted using the TRIzol reagent (Invitrogen, CA, USA) according to the manufacturer's protocol. RNA purity and quantification were evaluated using the NanoDrop 2000 spectrophotometer (Thermo Scientific, USA). RNA integrity was assessed using the Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA)</sample_protocol><sample_protocol>Sequencing - The libraries were sequenced on an llumina Novaseq 6000 platform and 150 bp paired-end reads were generated. Raw reads of fastq format were firstly processed using fastp and the low quality reads were removed to obtain the clean reads. Then clean reads for each sample were retained for subsequent analyses. The clean reads were mapped to the reference genome using HISAT. FPKM of each gene was calculated and the read counts of each gene were obtained by HTSeq-count. PCA analysis were performed using R (v 3.2.0) to evaluate the biological duplication of samples.</sample_protocol><figure_sub>Organization</figure_sub><figure_sub>MINSEQE Score</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>Processed Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><data_protocol>Data Transformation - Raw reads of fastq format were firstly processed using fastp and the low quality reads were removed to obtain the clean reads. Then clean reads for each sample were retained for subsequent analyses. The clean reads were mapped to the reference genome using HISAT. FPKM of each gene was calculated and the read counts of each gene were obtained by HTSeq-count. PCA analysis were performed using R (v 3.2.0) to evaluate the biological duplication of samples.</data_protocol><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><instrument_platform>Illumina NovaSeq 6000</instrument_platform><study_type>RNA-seq of coding RNA</study_type><species>Homo sapiens</species><pubmed_authors>Wengui Shi</pubmed_authors></additional><is_claimable>false</is_claimable><name>RNA sequencing of Non-kinase Orchestrated VEGFR2–ERK Hyperactivation as a Dependency and Pharmacological Target in Tumor Angiogenesis</name><description>To identify differentially expressed genes between apatinib-sensitive and apatinib-resistant HUVECs, one apatinib-sensitive and one -resistant primary human umbilical vein endothelial cells (HUVECs) were treated with apatinib for 48 hours. After treatment, cells were harvested and total RNA was extracted. The quantity and integrity of the RNA were evaluated and sequencing libraries were constructed.</description><dates><release>2025-10-25T00:00:00Z</release><modification>2025-10-25T01:02:31.359Z</modification><creation>2025-10-10T13:33:32.813Z</creation></dates><accession>E-MTAB-15692</accession><cross_references><ENA>ERP181361</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0003738</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>