<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Viktoria Szeifert</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-15978</full_dataset_link><description>We performed a systematic investigation of seven pharmacologic inhibitors (calpeptin, D-pantethine, Y27632, cytochalasin D, GW4869, R5421, and Nexinhib20) on quantitative and qualitative EV properties derived from resting neutrophils. We measured EV numbers, size distribution, total lipid, protein, and RNA content. We also analyzed the EV morphology by cryo-EM and EV cargo qualitatively by mass spectrometry and RNA sequencing (mRNA, miRNA).</description><repository>biostudies-arrayexpress</repository><sample_protocol>Sequencing - Sequencing on a DNBSEQ platform (150 bp paired-end)</sample_protocol><sample_protocol>Library Construction - Poly(A)+ RNA libraries were prepared using the SMARTer Stranded V2 kit.</sample_protocol><sample_protocol>Nucleic Acid Extraction - Total RNA was extracted using a Qiagen RNA extraction kit, following the manufacturer’s instruction</sample_protocol><sample_protocol>Sample Collection - For RNA sequencing, EVs were isolated from three biological replicates. The dry EV pellets were resuspended in 10 μL sterile distilled water (nuclease-free), snap frozen, and stored at -80°C until processing within 1 week.</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 - For downstream analysis in R, the expression table was restricted to columns corresponding to the nine EV conditions (control vehicles and seven inhibitors). Predicted accessions were removed by excluding transcripts with IDs matching XM_ or rna-XM_. Gene identifiers (Entrez) were mapped to HGNC symbols and gene names using org.Hs.eg.db (AnnotationDbi), and hemoglobin-related entries were excluded by gene name matching. To stabilize variance and enable visualization, expression values were transformed as log₂(TPM + 1), heatmaps display row-z-scored log₂ values. Treatment-specific changes were summarized by vehicle-adjusted deltas computed per gene as log₂(TPM_treatment + 1) − log₂(TPM_vehicle + 1). The mRNAs were ranked for visualization by total TPM across conditions, mean absolute delta, and standard deviation of deltas were plotted as heatmaps. Overlap across conditions was summarized with UpSet plots, defining presence as TPM > 0 in a condition.</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-G50</instrument_platform><study_type>RNA-seq of coding RNA</study_type><species>Homo sapiens</species><pubmed_authors>Viktoria Szeifert</pubmed_authors></additional><is_claimable>false</is_claimable><name>One way or another: Differential impact of pharmacologic inhibitors on extracellular vesicles derived from resting neutrophils</name><description>We performed a systematic investigation of seven pharmacologic inhibitors (calpeptin, D-pantethine, Y27632, cytochalasin D, GW4869, R5421, and Nexinhib20) on quantitative and qualitative EV properties derived from resting neutrophils. We measured EV numbers, size distribution, total lipid, protein, and RNA content. We also analyzed the EV morphology by cryo-EM and EV cargo qualitatively by mass spectrometry and RNA sequencing (mRNA, miRNA).</description><dates><release>2025-11-24T00:00:00Z</release><modification>2026-05-28T10:40:26.373Z</modification><creation>2025-11-03T16:55:34.122Z</creation></dates><accession>E-MTAB-15978</accession><cross_references><ENA>ERP183606</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>