ArticleAnalytical chemistry2019
Toward Single-Organelle Lipidomics in Live Cells.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 32 citations in OpenAlex.
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
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- Dissecting inflammation in the immunemetabolomic era.Cellular and molecular life sciences : CMLS · 2025Review
- Metabolism and metabolomics in senescence, aging, and age-related diseases: a multiscale perspective.Frontiers of medicine · 2025Review
- Adaptive Raman spectral unmixing method based on Voigt peak compensation for quantitative analysis of cellular biochemical components.Biomedical optics express · 2025Article
- Lipidomics and temporal-spatial distribution of organelle lipid.Journal of biological methods · 2025Review
- Raman-based machine-learning platform reveals unique metabolic differences between IDHmut and IDHwt glioma.Neuro-oncology · 2024Article
- Raman spectroscopy of large extracellular vesicles derived from human microvascular endothelial cells to detect benzo[a]pyrene exposure.Analytical and bioanalytical chemistry · 2024Article
- Challenges of Spatially Resolved Metabolism in Cancer Research.Metabolites · 2024Review
- Mitochondrial Dysfunction and Apoptosis in Brain Microvascular Endothelial Cells Following Blast Traumatic Brain Injury.Cellular and molecular neurobiology · 2023Article
- Analytical Techniques for Single-Cell Biochemical Assays of Lipids.Annual review of biomedical engineering · 2023Review
- Single cell metabolism: current and future trends.Metabolomics : Official journal of the Metabolomic Society · 2022Review
- Advances in measuring cancer cell metabolism with subcellular resolution.Nature methods · 2022Review
- Targeting the Sphingolipid Rheostat in Gliomas.International journal of molecular sciences · 2022Review
- Non-Invasive Three-Dimensional Cell Analysis in Bioinks by Raman Imaging.ACS applied materials & interfaces · 2022Article
- Mitochondrial Dysfunction: A Prelude to Neuropathogenesis of SARS-CoV-2.ACS chemical neuroscience · 2022Article
- A Single-Organelle Optical Omics Platform for Cell Science and Biomarker Discovery.Analytical chemistry · 2021Article
- Single-cell omics analyses with single molecular detection: challenges and perspectives.Journal of biomedical research · 2021Article
- Unveiling Cancer Metabolism through Spontaneous and Coherent Raman Spectroscopy and Stable Isotope Probing.Cancers · 2021Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Detailed studies of lipids in biological systems, including their role in cellular structure, metabolism, and disease development, comprise an increasingly prominent discipline called lipidomics. However, the conventional lipidomics tools, such as mass spectrometry, cannot investigate lipidomes until they are extracted, and thus they cannot be used for probing the lipid distribution nor for studying in live cells. Furthermore, conventional techniques rely on the lipid extraction from relatively large samples, which averages the data across the cellular populations and masks essential cell-to-cell variations. Further advancement of the discipline of lipidomics critically depends on the capability of high-resolution lipid profiling in live cells and, potentially, in single organelles. Here we report a micro-Raman assay designed for single-organelle lipidomics. We demonstrate how Raman microscopy can be used to measure the local intracellular biochemical composition and lipidome hallmarks-lipid concentration and unsaturation level, cis/trans isomer ratio, sphingolipids and cholesterol levels in live cells-with a sub-micrometer resolution, which is sufficient for profiling of subcellular structures. These lipidome data were generated by a newly developed biomolecular component analysis software, which provides a shared platform for data analysis among different research groups. We outline a robust, reliable, and user-friendly protocol for quantitative analysis of lipid profiles in subcellular structures. This method expands the capabilities of Raman-based lipidomics toward the analysis of single organelles within either live or fixed cells, thus allowing an unprecedented measure of organellar lipid heterogeneity and opening new quantitative ways to study the phenotypic variability in normal and diseased cells.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.