<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE299nnn/GSE299609/</Other></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE299609</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Hydrogel Microencapsulation Enables High-Sensitivity Mitochondrial RNA Profiling from Ultra-Low Input Samples</name><description>The 13 protein-coding genes encoded by the mitochondrial genome are essential markers for cellular energy metabolism and diverse physiological and pathological processes. However, conventional RNA-seq methods often suffer from poor sensitivity in detecting mitochondrial transcripts due to their low abundance, vulnerability to degradation, and loss during sample preparation. Here, we present a hydrogel-assisted RNA sequencing strategy that encapsulates individual RNA molecules within semi-permeable core-shell microgels (~80 μm in diameter), enabling ultra-low-input profiling, approximately equivalent to one RNA molecule per each of 1.2 million nanoliter-scale compartments. This spatial confinement minimizes intermolecular interactions, preserves mitochondrial RNA integrity, and enhances both reverse transcription and Tn5 tagmentation efficiency of mitochondrial RNA molecules. Compared with conventional RNA-seq, our method significantly improves the detection of all 13 protein-coding mitochondrial genes, even with minimal RNA input (~1 ng) and low sequencing depth (~1 million reads). This strategy provides a robust, cost-effective, and scalable approach for accurate and reproducible profiling of mitochondrial transcripts, establishing a powerful tool for investigating mitochondrial function in low-input or precious samples, with broad implications for biomedical research and clinical diagnostics.</description><dates><publication>2026/09/01</publication></dates><accession>GSE299609</accession><cross_references><GSM>GSM9042000</GSM><GSM>GSM9042001</GSM><GSM>GSM9042002</GSM><GSM>GSM9042003</GSM><GSM>GSM9042004</GSM><GSM>GSM9041996</GSM><GSM>GSM9041997</GSM><GSM>GSM9041998</GSM><GSM>GSM9041999</GSM><GPL>24676</GPL><GSE>299609</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>