<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>wenting xu</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-16073</full_dataset_link><description>We used three siRNAs to silence HSPA8 in MDA-MB-468 cells, and then used RNA-seq to compare HSPA8 knockdown cells with the controls.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Nucleic Acid Extraction - 48-hours post-transfection, total RNA was extracted using TRIzol reagent (Ambion).</sample_protocol><sample_protocol>Sample Collection - Cells transfected with siRNAs with Lipofectamin as the transfection reagent. Cells were cultured at 37°C in RPMI-1640 medium supplemented with 10% fetal bovine serum (FBS) and 100 IU/mL penicillin-streptomycin solution under 5% CO2.</sample_protocol><sample_protocol>Sequencing - DNBSEQ-T7 system was used for 150 nt paired-end sequencing.</sample_protocol><sample_protocol>Library Construction - VAHTS Universal V8 RNA-seq Library Prep Kit (Vazyme) was used to prepare strand-specific RNA-seq libraries.</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>Sequence Alignment - Raw sequencing reads containing more than 2-N bases were first discarded. Subsequently, the raw reads were trimmed of adaptors and low-quality bases using a FASTX-Toolkit (v.0.0.13; http://hannonlab.cshl.edu/fastx toolkit/).  In addition, short reads of less than 16 nt were dropped to retain clean reads, which were subsequently aligned to the GRch38 genome by HISAT2 .</data_protocol><data_protocol>Data Transformation - Uniquely mapped reads were used to calculate read number and paired-end fragments per kilobase of exon per million fragments mapped (FPKM) for each gene.</data_protocol><omics_type>Metabolomics</omics_type><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><instrument_platform>DNBSEQ-T7</instrument_platform><study_type>RNA-seq of coding RNA</study_type><species>Homo sapiens</species><pubmed_authors>wenting xu</pubmed_authors></additional><is_claimable>false</is_claimable><name>RNA-seq of HSPA8 knockdown in MDA-MB-468 cells</name><description>We used three siRNAs to silence HSPA8 in MDA-MB-468 cells, and then used RNA-seq to compare HSPA8 knockdown cells with the controls.</description><dates><release>2025-11-13T00:00:00Z</release><modification>2026-05-30T17:00:18.4Z</modification><creation>2025-11-06T13:02:38.963Z</creation></dates><accession>E-MTAB-16073</accession><cross_references><ENA>ERP183681</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0004917</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0003738</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>