<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Ya Chun Yu</submitter><organism>Mus musculus</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-16184</full_dataset_link><description>The aim of this study is to evaluate data by comparing transcriptome profile (RNA-seq) of BMDMs trained with low-dose LPS and untrained BMDMs. Trained immunity enables innate immune cells to acquire memory-like responses, offering a promising strategy to enhance antitumor immunity. However, the metabolic‒epigenetic mechanisms underlying this process remain incompletely defined, limiting therapeutic translation. Here, we elucidate how metabolic reprogramming shapes epigenetic memory in macrophages and how this process can be harnessed to potentiate antitumor responses. The impact of LPS training in BMDMs is assessed  focusing on the changes in metabolism related genes and difference in any other categories of genes to fully comprehend the metabolic reprogramming.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Sequencing - High-throughput sequencing was performed as paired-end 150 sequencing using NextSeq 2000 (Illumina). Quality control of the raw sequencing data was performed using FastQC. Adapter and low-quality reads were removed using Fastp. Then, the trimmed reads were mapped to the reference genome using STAR.</sample_protocol><sample_protocol>Sample Collection - BMDMs trained with PBS (naive) or LPS (trained) for overnight incubation, washed and rested until day 6 and harvested for RNA extraction.</sample_protocol><sample_protocol>Library Construction - The Poly(A) RNA Selection Kit (LEXOGEN, Inc., Austria) was used for mRNA isolation, followed by library preparation using the CORALL RNA-Seq V2 Library Prep Kit (LEXOGEN).</sample_protocol><sample_protocol>Nucleic Acid Extraction - Total RNA was extracted with a Universal RNA extraction kit (Takara) according to the manufacturer’s protocol, and quality was assessed with the Agilent 4200 TapeStation System (Agilent Technologies).</sample_protocol><sample_protocol>Growth Protocol - All cells were cultured in RPMI-1640 medium supplemented with 10% fetal bovine serum (FBS) and maintained at 37°C with 5% CO2.</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 - Gene expression values were normalized as TPM (Transcripts Per Million) using total read counts and transcript lengths.</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>NextSeq 2000</instrument_platform><study_type>RNA-seq of total RNA</study_type><species>Mus musculus</species><pubmed_title>Mitochondrial Glutaminolysis Governs the Epigenetic Training of Macrophages for Antitumor Immunity.</pubmed_title><pubmed_authors>Ya Chun Yu, Yulseung Sung, Seonghun Lim, Jeoung Ah Kwon, Kuglae Kim, Do Sik Min, Hee Chan Yoo, Jung Min Han</pubmed_authors><pubmed_authors>Jung Min Han</pubmed_authors><pubmed_authors>Ya Chun Yu</pubmed_authors></additional><is_claimable>false</is_claimable><name>RNA-seq analysis of LPS-trained bone marrow derived macrophages (BMDMs) reveals altered glutamine and glycolysis metabolic pathways</name><description>The aim of this study is to evaluate data by comparing transcriptome profile (RNA-seq) of BMDMs trained with low-dose LPS and untrained BMDMs. Trained immunity enables innate immune cells to acquire memory-like responses, offering a promising strategy to enhance antitumor immunity. However, the metabolic‒epigenetic mechanisms underlying this process remain incompletely defined, limiting therapeutic translation. Here, we elucidate how metabolic reprogramming shapes epigenetic memory in macrophages and how this process can be harnessed to potentiate antitumor responses. The impact of LPS training in BMDMs is assessed  focusing on the changes in metabolism related genes and difference in any other categories of genes to fully comprehend the metabolic reprogramming.</description><dates><release>2026-06-24T00:00:00Z</release><modification>2026-06-24T03:04:36.979Z</modification><creation>2025-11-19T10:31:26.392Z</creation></dates><accession>E-MTAB-16184</accession><cross_references><ENA>ERP185313</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0009653</EFO><EFO>EFO_0003789</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>