เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์โปรตีโอมิกส์อนุกรมเวลา× | การวิเคราะห์เมแทบอโลมิกส์× | |
|---|---|---|
| สาขาวิชา | ชีวสารสนเทศศาสตร์ | ชีวสารสนเทศศาสตร์ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 2000s (quantitative framework: Gygi et al. 1999; time-series designs: 2004–2010) | 1998–2002 |
| ผู้ริเริ่ม≠ | Multiple groups; Gygi et al. (1999) established quantitative proteomics; time-series designs emerged in the 2000s with LC-MS/MS workflows | Oliver et al. (coining of 'metabolomics'); Oliver Fiehn (systematic framework) |
| ประเภท≠ | Quantitative longitudinal omics pipeline | Quantitative omics pipeline |
| แหล่งต้นตำรับ≠ | Lemeer, S., & Heck, A. J. R. (2012). The phosphoproteomics data explosion. Current Opinion in Chemical Biology, 16(1–2), 1–8. link ↗ | Fiehn, O. (2002). Metabolomics — the link between genotypes and phenotypes. Plant Molecular Biology, 48(1-2), 155–171. link ↗ |
| ชื่อเรียกอื่น | longitudinal proteomics, temporal proteomics, dynamic proteomics, time-course proteomics | metabolome profiling, metabolic profiling, metabonomics, metabolite profiling |
| ที่เกี่ยวข้อง | 6 | 6 |
| สรุป≠ | Time-series proteomics analysis quantifies protein abundance across two or more ordered time points to reveal how the proteome changes dynamically in response to stimuli, developmental stages, or disease progression. By combining mass spectrometry-based protein quantification with statistical models designed for temporal data, the method identifies proteins with significant expression trends, oscillatory patterns, or delayed responses that cannot be detected in single time-point studies. | 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. |
| ScholarGateชุดข้อมูล ↗ |
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