WikiPathways is a community-curated pathway database that allows researchers to contribute and edit pathway information. It provides a platform for collaborative pathway curation and offers a diverse collection of pathways across various species. WikiPathways is particularly useful for studying non-model organisms or for incorporating species-specific pathways that may not be available in other databases.
Several software tools are available for pathway mapping and analysis. PathVisio is an open-source pathway visualization and analysis tool that integrates with various pathway databases, including KEGG and Wiki Pathways. It allows users to interactively explore and annotate pathways, overlay experimental data, and perform statistical analyses.
MetScape is a Cytoscape plugin specifically designed for metabolomics pathway analysis. It integrates metabolomic data with pathway information and enables the visualization of metabolite abundance changes within pathways. MetScape also provides statistical analysis tools to identify significantly altered pathways and metabolites.
Author(s) Details:
Ebenezer Morayo Ale
Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, Taraba State, Nigeria.
Olanrewaju Roland Akinseye
HAT Unit, Nigerian Institute for Trypanosomiasis & Onchocerciasis Research, Ibadan, Nigeria.
Richard-Harris Nsenreuti Boyi
Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, Taraba State, Nigeria.
Victoria Ifeoluwa Ayo
Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, Taraba State, Nigeria.
Mgbede Joy Timothy
Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, Taraba State, Nigeria.
Steve Osagie Asuelimen
Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, Taraba State, Nigeria.
Recent Global Research Developments in Metabolomics: Unraveling the Biochemical Tapestry
“Deliverables from Metabolomics in Kidney Disease: Adenine, New Insights, and Implication for Clinical Decision-Making” [1]:
- This review focuses on metabolomics in chronic kidney disease (CKD). It highlights spatial metabolomics, which provides unique insights into CKD progression. By analyzing metabolic pathways and fluctuations, researchers have identified adenine as a key marker for kidney fibrosis in diabetic kidney disease. This breakthrough has implications for early detection and personalized risk assessment.
“Review of recent developments in GC–MS approaches to metabolomics-based applications” [2]:
- This overview discusses developments in gas chromatography-mass spectrometry (GC–MS) techniques for metabolomics. It emphasizes sample preparation and preservation methods, including chemical derivatization techniques.
References
- Ragi, N., & Sharma, K. Deliverables from Metabolomics in Kidney Disease: Adenine, New Insights and Implication for Clinical Decision Making. American journal of nephrology.
- Beale, D.J., Pinu, F.R., Kouremenos, K.A. et al. Review of recent developments in GC–MS approaches to metabolomics-based research. Metabolomics 14, 152 (2018). https://doi.org/10.1007/s11306-018-1449-2