ReviewBBA advances2025
Unravelling lipid heterogeneity: Advances in single-cell lipidomics in cellular metabolism and disease.
Review in BBA advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Epigenomic Remodeling by Lipid Metabolism: A Cross-Disease Perspective on Cancer and Brain Disorders.Genes · 2026Review
- Review
- Special Issue "The Role of Lipids in Health and Diseases".International journal of molecular sciences · 2026Article
- New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026Review
- Circulating lipids uncover early membrane disruption as a primary event preceding Alzheimer's disease onset.Research square · 2026Article
- Emerging complexities of phospholipid metabolism in adipose tissue.Molecules and cells · 2026Review
- MASLD biomarker discovery: evaluating lipidomics techniques across disease progression.Molecular biology reports · 2026Review
- Lipidomics in Melanoma: Insights into Disease Progression and Therapeutical Targets.International journal of molecular sciences · 2026Review
- The lipid-podocyte axis: emerging clues in membranous nephropathy pathogenesis.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advancements in single-cell analysis have revolutionized our understanding of cellular heterogeneity, particularly in lipid metabolism. Single-cell lipidomics, enabled by ultra-sensitive mass spectrometry techniques such as Orbitrap and Fourier-transform ion cyclotron resonance (FT-ICR), provides unprecedented insights into lipid-mediated cellular functions. Unlike bulk analyses, single-cell approaches capture real-time metabolic changes, highlighting lipid species' roles in cell differentiation, signal transduction, and disease progression. Mass spectrometry imaging (MSI), including MALDI-MSI and SIMS, further delineates lipid distributions within tissues, revealing spatial heterogeneity critical to cellular function. Emerging evidence suggests that lipid alterations significantly impact developmental mechanisms, stem cell niches, and disease pathogenesis, challenging conventional bulk-level assumptions. However, a key challenge remains in deciphering how lipid networks coordinate cellular differentiation and transcriptional regulation. Future research must integrate lipidomic, proteomic, and genomic data to unravel lipid-mediated signaling and epigenetic modifications. Understanding these dynamics will advance regenerative medicine and therapeutic interventions, enabling precise targeting of lipid-driven pathways in disease contexts.
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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.