विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| एकल-कोशिका मेटाबोलोमिक्स विश्लेषण (Single-Cell Metabolomics Analysis)× | मेटाबोलोमिक्स विश्लेषण× | |
|---|---|---|
| क्षेत्र | जैव सूचना विज्ञान | जैव सूचना विज्ञान |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 2013–2021 (emerging field; major methods established ~2019–2021) | 1998–2002 |
| प्रवर्तक≠ | Multiple groups; key early platforms: Alexandrov lab (SpaceM), Bhatt/Bhattacharya groups | Oliver et al. (coining of 'metabolomics'); Oliver Fiehn (systematic framework) |
| प्रकार≠ | Analytical pipeline | Quantitative omics pipeline |
| मौलिक स्रोत≠ | Rappez, L., Stadler, M., Triana, S., Gathungu, R. M., Ovchinnikova, K., Phapale, P., Heikenwalder, M., & Alexandrov, T. (2021). SpaceM reveals metabolic states of single cells. Nature Methods, 18(7), 799–805. link ↗ | Fiehn, O. (2002). Metabolomics — the link between genotypes and phenotypes. Plant Molecular Biology, 48(1-2), 155–171. link ↗ |
| उपनाम | scMetabolomics, single-cell metabolic profiling, single-cell mass spectrometry metabolomics, SC-MS metabolomics | metabolome profiling, metabolic profiling, metabonomics, metabolite profiling |
| संबंधित≠ | 4 | 6 |
| सारांश≠ | Single-cell metabolomics analysis measures the small-molecule metabolite content of individual cells, revealing cell-to-cell metabolic heterogeneity that bulk methods obscure by averaging. Rooted in mass spectrometry and microfluidics advances, it enables researchers to map metabolic states across cell populations, identify rare subpopulations, and link metabolic phenotypes to cellular function — providing a functional complement to transcriptomics and proteomics at single-cell resolution. | Metabolomics analysis is the large-scale, systematic measurement of small-molecule metabolites in a biological sample to characterise the metabolome — the complete set of metabolic intermediates and products present under defined conditions. By coupling high-throughput analytical platforms such as mass spectrometry (MS) or nuclear magnetic resonance (NMR) spectroscopy with multivariate statistics and pathway databases, metabolomics bridges the genotype–phenotype gap and captures the downstream functional output of genes, transcripts, and proteins in real time. |
| ScholarGateडेटासेट ↗ |
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