Metabolomics: beyond biomarkers and towards mechanisms

By C. Johnson, J. Ivanisevic, Gary Siuzdak. Nature reviews. Molecular cell biology, 2016

2,367 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/411caa9a0b535764b4bb151b2f6927df3fbcd0cf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. David S. Wishart
2. Jianguo Xia
3. Jasmine Chong
4. Guangyan Zhou
5. Shuzhao Li
6. Othman Soufan
7. Carin Li
8. Le Chang

In Spectroscopy

1. David S. Wishart
2. Jianguo Xia
3. Jasmine Chong
4. Shuzhao Li
5. Guangyan Zhou
6. Zhiqian Pang
7. Le Chang
8. Carin Li

Citations in the corpus

• Insights into Cronobacter sakazakii Biofilm Formation and Control Strategies in the Food Industry (2020, background): “approach has generated novel insights into microbial physiology [70].”
• MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights (2021, background): “With the consolidation of various protocols and availability of commercial kits developed for targeted metabolomics (20), global metabolomics based on high-resolution mass spectrometry (HRMS) has received growing attention (3,21,22).”
• MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis (2018, background): “Biomarker identification continues to be an important area of research in metabolomics (31).”
• Artificial intelligence in cancer target identification and drug discovery (2022, methodology): “Metabolomics is routinely applied for biomarker discovery by pro fi ling metabolites in bio fl uids, cells and tissues 34 .”
• Untargeted metabolomics strategies – Challenges and Emerging Directions (2016, background): “, drugs, toxins, microorganisms, and nutrients) [1].”
• An atlas of human metabolism (2020, background): “Despite the importance of metabolism and advances allowing for simultaneous measurement of thousands of metabolites (6), understanding metabolism in a holistic manner in human cells remains challenging.”
• Advances and Trends in Omics Technology Development (2022, methodology): “MS is the most feasible tool to probe the metabolome that can detect a wide spectrum of metabolites (216).”