Project description:In-depth organic mass cytometry reveals differential contents of 3-hydroxybutanoic acid on single cell level. Single-cell transcriptome indicates the expression difference of BHB downstream anti-oxidative stress proteins such as MT2A while Fluorescence Activated Cell Sorting (FACS) assay validates positive relationship between BHB and target proteins, which suggests that contents heterogeneity of BHB may endow cancer cells with variant ability to resist surrounding oxidative stress. Our ID-organic cytoMS paves the way for deep single-cell metabolome profiling and the investigation of cancer physiological and pathological processes. Comprehensive single-cell metabolic profiling is critical for revealing phenotypic heterogeneity and elucidating molecular mechanisms of biological processes. However, single-cell metabolomics remains challenging because of the limited metabolites coverage and disability of isomer discrimination. Herein, we establish a novel single-cell metabolomics platform of in-depth organic mass cytometry (ID-organic cytoMS). Extended single-cell analysis time guarantees sufficient MS/MS acquisition for metabolites identification and the isomers discrimination with online high-throughput analysis, achieving the largest number of about 600 metabolites identified in single cells. Fine sub-typing of MCF-7 cells are first demonstrated by differential contents of 3-hydroxybutanoic acid (BHB) among clusters. Single-cell transcriptome indicates the expression difference of BHB downstream anti-oxidative stress proteins such as MT2A while Fluorescence Activated Cell Sorting (FACS) assay validates positive relationship between BHB and target proteins, which suggests that contents heterogeneity of BHB may endow cancer cells with variant ability to resist surrounding oxidative stress. Our ID-organic cytoMS paves the way for deep single-cell metabolome profiling and the investigation of cancer physiological and pathological processes.

2024-03-31 | GSE262591 | GEO

Single-platelet nanomechanics measured by high-throughput cytometry.

Project description: Not available

| S-EPMC5266633 | biostudies-literature

High-throughput detection of miRNAs and gene-specific mRNA at the single-cell level by flow cytometry.

Project description: Not available

| S-EPMC4256720 | biostudies-literature

Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry [bulk]

Project description:Bulk RNA Sequencing of Healthy Bone Marrow Mononuclear Cells

2018-09-26 | GSE120444 | GEO

Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry [scRNA]

Project description:New techniques for single-cell analysis have led to insights into hematopoiesis and the immune system, but the ability of these techniques to cross-validate and reproducibly identify the biological variation in diverse human samples is currently unproven. We therefore performed a comprehensive assessment of human bone marrow cells using both single-cell RNA sequencing and multiparameter flow cytometry from twenty healthy adult human donors across a broad age range. These data characterize variation between healthy donors as well as age-associated changes in cell population frequencies. Direct comparison of techniques revealed discrepancy in the quantification of T lymphocyte and natural killer cell populations. Orthogonal validation of immunophenotyping using mass cytometry demonstrated good correlation with flow cytometry. Technical replicates using single-cell RNA sequencing matched robustly, while biological replicates showed variation. Given the increasing use of single-cell technologies in translational research, this resource serves as an important reference dataset and highlights opportunities for further refinement. [Funding source] Project Number: 1ZIAHL006163-05 Contact PI / Project Leader: HOURIGAN, CHRISTOPHER Title: DETECTION, PREVENTION AND TREATMENT OF ACUTE MYELOID LEUKEMIA (AML) RELAPSE. Awardee Organization: NATIONAL HEART, LUNG, AND BLOOD INSTITUTE

2018-09-21 | GSE120221 | GEO

High-Throughput Fractionation Coupled to Mass Spectrometry for Improved Quantitation in Metabolomics.

Project description: Not available

| S-EPMC7871441 | biostudies-literature