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- Publisher Website: 10.1016/j.cmet.2022.10.002
- Scopus: eid_2-s2.0-85144921286
- PMID: 36309010
- WOS: WOS:000920390700001
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Article: Ultrasensitive sensors reveal the spatiotemporal landscape of lactate metabolism in physiology and disease
Title | Ultrasensitive sensors reveal the spatiotemporal landscape of lactate metabolism in physiology and disease |
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Authors | Li, XieZhang, YinanXu, LingyanWang, AoxueZou, YejunLi, TingHuang, LiChen, WeicaiLiu, ShuningJiang, KunZhang, XiuzeWang, DongmeiZhang, LijuanZhang, ZhuoZhang, ZeyiChen, XianjunJia, WeiZhao, AihuaYan, XinfengZhou, HaimengZhu, LinyongMa, XinranJu, ZhenyuJia, WeipingWang, CongrongLoscalzo, JosephYang, YiZhao, Yuzheng |
Keywords | highly responsive lactate sensors lactate metabolism point-of-care clinical screening real-time monitoring subcellular lactate landscape |
Issue Date | 2023 |
Citation | Cell Metabolism, 2023, v. 35, n. 1, p. 200-211.e9 How to Cite? |
Abstract | Despite its central importance in cellular metabolism, many details remain to be determined regarding subcellular lactate metabolism and its regulation in physiology and disease, as there is sensitive spatiotemporal resolution of lactate distribution, and dynamics remains a technical challenge. Here, we develop and characterize an ultrasensitive, highly responsive, ratiometric lactate sensor, named FiLa, enabling the monitoring of subtle lactate fluctuations in living cells and animals. Utilizing FiLa, we demonstrate that lactate is highly enriched in mammalian mitochondria and compile an atlas of subcellular lactate metabolism that reveals lactate as a key hub sensing various metabolic activities. In addition, FiLa sensors also enable direct imaging of elevated lactate levels in diabetic mice and facilitate the establishment of a simple, rapid, and sensitive lactate assay for point-of-care clinical screening. Thus, FiLa sensors provide powerful, broadly applicable tools for defining the spatiotemporal landscape of lactate metabolism in health and disease. |
Persistent Identifier | http://hdl.handle.net/10722/342259 |
ISSN | 2023 Impact Factor: 27.7 2023 SCImago Journal Rankings: 11.406 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Li, Xie | - |
dc.contributor.author | Zhang, Yinan | - |
dc.contributor.author | Xu, Lingyan | - |
dc.contributor.author | Wang, Aoxue | - |
dc.contributor.author | Zou, Yejun | - |
dc.contributor.author | Li, Ting | - |
dc.contributor.author | Huang, Li | - |
dc.contributor.author | Chen, Weicai | - |
dc.contributor.author | Liu, Shuning | - |
dc.contributor.author | Jiang, Kun | - |
dc.contributor.author | Zhang, Xiuze | - |
dc.contributor.author | Wang, Dongmei | - |
dc.contributor.author | Zhang, Lijuan | - |
dc.contributor.author | Zhang, Zhuo | - |
dc.contributor.author | Zhang, Zeyi | - |
dc.contributor.author | Chen, Xianjun | - |
dc.contributor.author | Jia, Wei | - |
dc.contributor.author | Zhao, Aihua | - |
dc.contributor.author | Yan, Xinfeng | - |
dc.contributor.author | Zhou, Haimeng | - |
dc.contributor.author | Zhu, Linyong | - |
dc.contributor.author | Ma, Xinran | - |
dc.contributor.author | Ju, Zhenyu | - |
dc.contributor.author | Jia, Weiping | - |
dc.contributor.author | Wang, Congrong | - |
dc.contributor.author | Loscalzo, Joseph | - |
dc.contributor.author | Yang, Yi | - |
dc.contributor.author | Zhao, Yuzheng | - |
dc.date.accessioned | 2024-04-17T07:02:31Z | - |
dc.date.available | 2024-04-17T07:02:31Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Cell Metabolism, 2023, v. 35, n. 1, p. 200-211.e9 | - |
dc.identifier.issn | 1550-4131 | - |
dc.identifier.uri | http://hdl.handle.net/10722/342259 | - |
dc.description.abstract | Despite its central importance in cellular metabolism, many details remain to be determined regarding subcellular lactate metabolism and its regulation in physiology and disease, as there is sensitive spatiotemporal resolution of lactate distribution, and dynamics remains a technical challenge. Here, we develop and characterize an ultrasensitive, highly responsive, ratiometric lactate sensor, named FiLa, enabling the monitoring of subtle lactate fluctuations in living cells and animals. Utilizing FiLa, we demonstrate that lactate is highly enriched in mammalian mitochondria and compile an atlas of subcellular lactate metabolism that reveals lactate as a key hub sensing various metabolic activities. In addition, FiLa sensors also enable direct imaging of elevated lactate levels in diabetic mice and facilitate the establishment of a simple, rapid, and sensitive lactate assay for point-of-care clinical screening. Thus, FiLa sensors provide powerful, broadly applicable tools for defining the spatiotemporal landscape of lactate metabolism in health and disease. | - |
dc.language | eng | - |
dc.relation.ispartof | Cell Metabolism | - |
dc.subject | highly responsive lactate sensors | - |
dc.subject | lactate metabolism | - |
dc.subject | point-of-care clinical screening | - |
dc.subject | real-time monitoring | - |
dc.subject | subcellular lactate landscape | - |
dc.title | Ultrasensitive sensors reveal the spatiotemporal landscape of lactate metabolism in physiology and disease | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.cmet.2022.10.002 | - |
dc.identifier.pmid | 36309010 | - |
dc.identifier.scopus | eid_2-s2.0-85144921286 | - |
dc.identifier.volume | 35 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 200 | - |
dc.identifier.epage | 211.e9 | - |
dc.identifier.eissn | 1932-7420 | - |
dc.identifier.isi | WOS:000920390700001 | - |