The DOI matches its Crossref record; 191 of the 191 references it cites were found in a registry or an index.
Proteomics: Challenges, Techniques and Possibilities to Overcome Biological Sample Complexity
Open accessAbstract
Proteomics is the large-scale study of the structure and function of proteins in complex biological sample. Such an approach has the potential value to understand the complex nature of the organism. Current proteomic tools allow large-scale, high-throughput analyses for the detection, identification, and functional investigation of proteome. Advances in protein fractionation and labeling techniques have improved protein identification to include the least abundant proteins. In addition, proteomics has been complemented by the analysis of posttranslational modifications and techniques for the quantitative comparison of different proteomes. However, the major limitation of proteomic investigations remains the complexity of biological structures and physiological processes, rendering the path of exploration paved with various difficulties and pitfalls. The quantity of data that is acquired with new techniques places new challenges on data processing and analysis. This article provides a brief overview of currently available proteomic techniques and their applications, followed by detailed description of advantages and technical challenges. Some solutions to circumvent technical difficulties are proposed.
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“This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.”
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Linking microbiota to human diseases: a systems biology perspective
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Proteomic changes upon treatment with semaglutide in individuals with obesity
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Zhong, X., Yu, Y., Wang, C., Zhu, Q., Wu, J., Ke, W., Ji, D., Niu, C., Yang, X., & Wei, Y. (2021) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2020.124111 · Cited by 67
Systems biology perspectives on minimal and simpler cells
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Barone, E., Head, E., Butterfield, D. A., & Perluigi, M. (2017) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2016.10.508 · Cited by 53
Metadata
- Authors
- Chandramouli, K., & Qian, P.-Y.
- Venue
- Human Genomics and Proteomics
- Publisher
- Portico
- Published
- 2009-01
- Volume
- 1
- Issue
- 1
- ISSN
- 1757-4242 (ISSN-L)
- OpenAlex
- W2136563184
- Cited by
- 511
- References
- 191
- FWCI
- 1.35
- Type
- journal article
- Language
- en
- Open access
- green
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