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MetabolomicsIntegrative of Single-Cell RNA Sequencing and Metabolomics Decipher the Imbalanced Lipid-Metabolism in Maladaptive Immune Responses during Sepsis
To identify differentially expressed lipid metabolism-related genes (DE-LMRGs) responsible for immune dysfunction in sepsis. Machine learning algorithms were applied for screening hubgenes related to lipid metabolism. CIBERSORT and Single-sample GSEA were employed for assessing the immune cell infil...
2024-09-26 | MTBLS7315 | MetaboLights
MetabolomicsSingle-cell RNA sequencing decipher hepatic injury and APOA4 as a biomarker in males with intrauterine growth restriction

Intrauterine growth restriction (IUGR) is associated with increased relative liver weight at birth, hepatic function decline and a higher risk for chronic liver and cardiovascular diseases in adults. Precise mechanisms of early developmental plasticity to intervene in poor fetal programming and a...

2023-09-25 | MTBLS6881 | MetaboLights
MetabolomicsDynamic single-cell metabolomics reveals cell-cell interaction between tumor cells and macrophages

Single-cell metabolomics reveals cell heterogeneity and elucidates intracellular molecular mechanisms. However, general concentration measurement of metabolites can only provide a static delineation of metabolomics, lacking the metabolic activity information of biological pathways. Herein, we dev...

2025-04-14 | MTBLS11091 | MetaboLights
MetabolomicsN6-methyladenosine modification is not a general trait of positive-sense RNA viral genomes

Despite the nuclear localization of the m6A machinery, the genomes of multiple exclusively-cytoplasmic RNA viruses, such as chikungunya (CHIKV) and dengue (DENV), are reported to be extensively m6A-modified. However, these findings are mostly based on m6A-seq, an antibody-dependent technique with...

2024-01-25 | MTBLS6978 | MetaboLights
MetabolomicsSingle-Cell and Spatial Multi-Omics Reveal Mechanical Stress Driving Heterogeneous Xylem Development in Populus [Spatial metabolomics_LCM]
Xylem, the predominant tissue for structural support, forms tension wood with G-layer-rich fibers under mechanical stress. Despite being recognized over a century ago, three key biological questions remained unclear: (1) Are fibers in normal and tension wood distinct cells due to morphological diffe...
2025-06-16 | MTBLS12561 | MetaboLights
TranscriptomicsSingle cell RNA sequencing of stem cell-derived retinal ganglion cells
We used human embryonic stem cell-derived retinal ganglion cells (RGCs) to characterize the transcriptome of 1,174 cells at the single cell level. The human embryonic stem cell line BRN3B-mCherry A81-H7 was differentiated to RGCs using a guided differentiation approach. Cells were harvested at day 3...
ORGANISM(S): Homo sapiens 
2017-10-07 | E-MTAB-6108 | biostudies-arrayexpress
MetabolomicsSingle-Cell and Spatial Multi-Omics Reveal Mechanical Stress Driving Heterogeneous Xylem Development in Populus [Spatial metabolomics_MALDI imaging]
Xylem, the predominant tissue for structural support, forms tension wood with G-layer-rich fibers under mechanical stress. Despite being recognized over a century ago, three key biological questions remained unclear: (1) Are fibers in normal and tension wood distinct cells due to morphological diffe...
2025-06-16 | MTBLS12601 | MetaboLights
MetabolomicsSingle-cell Transcriptomics and Time-series Metabolite Profiling Reveal the Spatiotemporal Regulation of Flavonoid Biosynthesis Genes and Phytohormone Homeostasis by PAP1 in Arabidopsis
Understanding the spatiotemporal regulation of specialized metabolism in plants is critical for advancing both basic plant biology and biotechnological applications. In this study, we utilized single-cell RNA sequencing (scRNA-seq) and time-series metabolite profiling to investigate the regulation o...
2025-05-27 | MTBLS12459 | MetaboLights
TranscriptomicsInterference of B-Cell and T-Cell Receptor Genes in Single-Cell RNA Sequencing Data
B and T cells play central roles in immune responses and, as such, are integral in many diseases, such as autoimmunity. Characterizing these cells, their subsets, and exploring their transcriptomes to understand the underlying biology, can be achieved using single-cell RNA sequencing (scRNA-seq). Wh...
ORGANISM(S): Homo sapiens 
2025-12-16 | E-MTAB-12346 | biostudies-arrayexpress
TranscriptomicsSingle cell sequencing of the proliferative endometrium
Endometrial biopsies were collected on menstrual cycle day 7 from healthy fertile women age 24-42. Biopsies were processed to a single cell suspension and submitted for single cell sequencing on the 10x platform.
ORGANISM(S): Homo sapiens 
2021-09-18 | E-MTAB-10947 | biostudies-arrayexpress
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