Deciphering cellular complexity: advances and future directions in single-cell protein analysis
Single-cell protein analysis has emerged as a powerful tool for understanding cellular heterogeneity and deciphering the complex mechanisms governing cellular function and fate. This review provides a comprehensive examination of the latest methodologies, including sophisticated cell isolation techn...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2024.1507460/full |
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| author | Qirui Zhao Qirui Zhao Qirui Zhao Shan Li Shan Li Shan Li Leonard Krall Leonard Krall Leonard Krall Qianyu Li Rongyuan Sun Yuqi Yin Jingyi Fu Xu Zhang Xu Zhang Xu Zhang Yonghua Wang Yonghua Wang Yonghua Wang Mei Yang Mei Yang Mei Yang |
| author_facet | Qirui Zhao Qirui Zhao Qirui Zhao Shan Li Shan Li Shan Li Leonard Krall Leonard Krall Leonard Krall Qianyu Li Rongyuan Sun Yuqi Yin Jingyi Fu Xu Zhang Xu Zhang Xu Zhang Yonghua Wang Yonghua Wang Yonghua Wang Mei Yang Mei Yang Mei Yang |
| author_sort | Qirui Zhao |
| collection | DOAJ |
| description | Single-cell protein analysis has emerged as a powerful tool for understanding cellular heterogeneity and deciphering the complex mechanisms governing cellular function and fate. This review provides a comprehensive examination of the latest methodologies, including sophisticated cell isolation techniques (Fluorescence-Activated Cell Sorting (FACS), Magnetic-Activated Cell Sorting (MACS), Laser Capture Microdissection (LCM), manual cell picking, and microfluidics) and advanced approaches for protein profiling and protein-protein interaction analysis. The unique strengths, limitations, and opportunities of each method are discussed, along with their contributions to unraveling gene regulatory networks, cellular states, and disease mechanisms. The importance of data analysis and computational methods in extracting meaningful biological insights from the complex data generated by these technologies is also highlighted. By discussing recent progress, technological innovations, and potential future directions, this review emphasizes the critical role of single-cell protein analysis in advancing life science research and its promising applications in precision medicine, biomarker discovery, and targeted therapeutics. Deciphering cellular complexity at the single-cell level holds immense potential for transforming our understanding of biological processes and ultimately improving human health. |
| format | Article |
| id | doaj-art-f1e8726b4f13402ba7e8fdcb9f24d4b7 |
| institution | Kabale University |
| issn | 2296-4185 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj-art-f1e8726b4f13402ba7e8fdcb9f24d4b72025-01-14T06:10:28ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852025-01-011210.3389/fbioe.2024.15074601507460Deciphering cellular complexity: advances and future directions in single-cell protein analysisQirui Zhao0Qirui Zhao1Qirui Zhao2Shan Li3Shan Li4Shan Li5Leonard Krall6Leonard Krall7Leonard Krall8Qianyu Li9Rongyuan Sun10Yuqi Yin11Jingyi Fu12Xu Zhang13Xu Zhang14Xu Zhang15Yonghua Wang16Yonghua Wang17Yonghua Wang18Mei Yang19Mei Yang20Mei Yang21Yunnan Key Laboratory of Cell Metabolism and Diseases, Yunnan University, Kunming, ChinaState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaYunnan Key Laboratory of Cell Metabolism and Diseases, Yunnan University, Kunming, ChinaState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaYunnan Key Laboratory of Cell Metabolism and Diseases, Yunnan University, Kunming, ChinaState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaYunnan Key Laboratory of Cell Metabolism and Diseases, Yunnan University, Kunming, ChinaState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaYunnan Key Laboratory of Cell Metabolism and Diseases, Yunnan University, Kunming, ChinaState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaYunnan Key Laboratory of Cell Metabolism and Diseases, Yunnan University, Kunming, ChinaState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, ChinaCenter for Life Sciences, School of Life Sciences, Yunnan University, Kunming, ChinaSingle-cell protein analysis has emerged as a powerful tool for understanding cellular heterogeneity and deciphering the complex mechanisms governing cellular function and fate. This review provides a comprehensive examination of the latest methodologies, including sophisticated cell isolation techniques (Fluorescence-Activated Cell Sorting (FACS), Magnetic-Activated Cell Sorting (MACS), Laser Capture Microdissection (LCM), manual cell picking, and microfluidics) and advanced approaches for protein profiling and protein-protein interaction analysis. The unique strengths, limitations, and opportunities of each method are discussed, along with their contributions to unraveling gene regulatory networks, cellular states, and disease mechanisms. The importance of data analysis and computational methods in extracting meaningful biological insights from the complex data generated by these technologies is also highlighted. By discussing recent progress, technological innovations, and potential future directions, this review emphasizes the critical role of single-cell protein analysis in advancing life science research and its promising applications in precision medicine, biomarker discovery, and targeted therapeutics. Deciphering cellular complexity at the single-cell level holds immense potential for transforming our understanding of biological processes and ultimately improving human health.https://www.frontiersin.org/articles/10.3389/fbioe.2024.1507460/fullprotein-protein interactionproteomicssingle-cell analysissingle-cell isolationconventional approaches |
| spellingShingle | Qirui Zhao Qirui Zhao Qirui Zhao Shan Li Shan Li Shan Li Leonard Krall Leonard Krall Leonard Krall Qianyu Li Rongyuan Sun Yuqi Yin Jingyi Fu Xu Zhang Xu Zhang Xu Zhang Yonghua Wang Yonghua Wang Yonghua Wang Mei Yang Mei Yang Mei Yang Deciphering cellular complexity: advances and future directions in single-cell protein analysis Frontiers in Bioengineering and Biotechnology protein-protein interaction proteomics single-cell analysis single-cell isolation conventional approaches |
| title | Deciphering cellular complexity: advances and future directions in single-cell protein analysis |
| title_full | Deciphering cellular complexity: advances and future directions in single-cell protein analysis |
| title_fullStr | Deciphering cellular complexity: advances and future directions in single-cell protein analysis |
| title_full_unstemmed | Deciphering cellular complexity: advances and future directions in single-cell protein analysis |
| title_short | Deciphering cellular complexity: advances and future directions in single-cell protein analysis |
| title_sort | deciphering cellular complexity advances and future directions in single cell protein analysis |
| topic | protein-protein interaction proteomics single-cell analysis single-cell isolation conventional approaches |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2024.1507460/full |
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