<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Ioannis Kamzolas</submitter><organism>Mus musculus</organism><software>Agilent Bioanalyser software for RNA integrity analysis</software><software>R/Bioconductor packages</software><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-14609</full_dataset_link><description>This dataset has been used to study the signaling mechanisms and transcriptional changes induced by BMP4 and BMP9 treatments in mature brown and white adipocytes. To this end, we conducted RNA sequencing on differentiated brown and white adipocyte models, providing insights into how BMP4/BMP9 treatments influence lipid metabolism and adipocyte plasticity. This dataset supports further research into the potential therapeutic role of BMP signaling modulation in metabolic diseases. Note: Although the associated manuscript focuses only on BMP4 and BMP9, this dataset deposition also includes BMP10 and BMP8b samples. Data for BMP10 and BMP8b require further validation.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Sample Collection - At the end of the treatment time, the cells were washed with phosphate-buffered saline (PBS) and snap-frozen on dry ice. Frozen cells were stored at -80°C until RNA extraction.</sample_protocol><sample_protocol>Sequencing - Sequencing was performed using the Illumina NovaSeq 6000. Samples were sequences to a sufficient depth for differential expression analysis.</sample_protocol><sample_protocol>Library Construction - RNA libraries were prepared for sequencing by Novogene, processed to construct libraries suitable for the RNASeq analysis and following the standard protocols for RNA library construction. RNA integrity was confirmed by Bioanalyser analysis.</sample_protocol><sample_protocol>Nucleic Acid Extraction - The extraction was performed using the RNeasy Plus Mini Kit (Qiagen, 74104), according to the manufacturer's instructions. The cells underwent lysis in 350 μl of RLT buffer supplemented with 1% (v/v) β-mercaptoethanol (BME).</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 counts were normalised using quantile normalisation, followed by COMBAT batch effect correction from the sva R package.</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>Agilent Bioanalyser for RNA quality control</instrument_platform><instrument_platform>Illumina NovaSeq 6000</instrument_platform><instrument_platform>Standard laboratory equipment for RNA library construction</instrument_platform><instrument_platform>Laboratory greezer (-80C storage) and dry ice for snap-freezing</instrument_platform><study_type>RNA-seq of coding RNA</study_type><species>Mus musculus</species><pubmed_authors>Ioannis Kamzolas</pubmed_authors></additional><is_claimable>false</is_claimable><name>Transcriptomic dataset of BMP4, BMP9, BMP10, and BMP8b signaling in mature brown and white adipocytes</name><description>This dataset has been used to study the signaling mechanisms and transcriptional changes induced by BMP4 and BMP9 treatments in mature brown and white adipocytes. To this end, we conducted RNA sequencing on differentiated brown and white adipocyte models, providing insights into how BMP4/BMP9 treatments influence lipid metabolism and adipocyte plasticity. This dataset supports further research into the potential therapeutic role of BMP signaling modulation in metabolic diseases. Note: Although the associated manuscript focuses only on BMP4 and BMP9, this dataset deposition also includes BMP10 and BMP8b samples. Data for BMP10 and BMP8b require further validation.</description><dates><release>2025-04-29T00:00:00Z</release><modification>2026-05-27T16:38:26.664Z</modification><creation>2024-11-15T11:45:24.572Z</creation></dates><accession>E-MTAB-14609</accession><cross_references><ENA>ERP166276</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>