Single-Cell Lipidomics Using Analytical Flow LC-MS Characterizes the Response to Chemotherapy in Cultured Pancreatic Cancer Cells.
Single-Cell Lipidomics Using Analytical Flow LC-MS Characterizes the Response to Chemotherapy in Cultured Pancreatic Cancer Cells.
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DOI：
10.1021/acs.analchem.3c02854
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发表时间：
2023-10-03
影响因子：
7.4
通讯作者：
Bailey, Melanie J.
中科院分区：
文献类型：
--
作者：
Saunders, Kyle D. G.;von Gerichten, Johanna;Lewis, Holly-May;Gupta, Priyanka;Spick, Matt;Costa, Catia;Velliou, Eirini;Bailey, Melanie J.
在这项工作中，我们展示了纳米毛细管采样和分析流动相色谱-质谱法在单细胞脂质组学中的发展和首次应用。在单个细胞中初步鉴定出约260种脂类，显示出显著的敏感性。用化疗药物吉西他滨处理的人胰腺导管腺癌细胞(PANC-1)可以仅根据其单细胞脂质谱与对照组区分开来。值得注意的是，在吉西他滨处理的细胞中，LPC(0：0/16：0)的相对丰度受到显著影响，这与以前的批量工作一致。这项工作证明了活细胞可以有选择地取样，然后使用自动化和广泛可用的分析工作流程进行表征，提供与生物学相关的输出。
In this work, we demonstrate the development and first application of nanocapillary sampling followed by analytical flow liquid chromatography–mass spectrometry for single-cell lipidomics. Around 260 lipids were tentatively identified in a single cell, demonstrating remarkable sensitivity. Human pancreatic ductal adenocarcinoma cells (PANC-1) treated with the chemotherapeutic drug gemcitabine can be distinguished from controls solely on the basis of their single-cell lipid profiles. Notably, the relative abundance of LPC(0:0/16:0) was significantly affected in gemcitabine-treated cells, in agreement with previous work in bulk. This work serves as a proof of concept that live cells can be sampled selectively and then characterized using automated and widely available analytical workflows, providing biologically relevant outputs.
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影响因子：
6.2
作者：
Chen X;Sun M;Yang Z
通讯作者：
Yang Z
影响因子：
4.2
作者：
Lewis, Holly-May;Gupta, Priyanka;Saunders, Kyle D. G.;Briones, Shazneil;von Gerichten, Johanna;Townsend, Paul A.;Velliou, Eirini;Beste, Dany J. V.;Cexus, Olivier;Webb, Roger;Bailey, Melanie J.
通讯作者：
Bailey, Melanie J.
影响因子：
4.3
作者：
Bowman, Andrew P.;Bogie, Jeroen F. J.;Ellis, Shane R.
通讯作者：
Ellis, Shane R.
溶血磷脂酰胆碱酰基转移酶2介导的脂质液滴生产支持结直肠癌的化学耐药性。
影响因子：
16.6
作者：
Cotte AK;Aires V;Fredon M;Limagne E;Derangère V;Thibaudin M;Humblin E;Scagliarini A;de Barros JP;Hillon P;Ghiringhelli F;Delmas D
通讯作者：
Delmas D
影响因子：
48
作者：
Kompauer, Mario;Heiles, Sven;Spengler, Bernhard
通讯作者：
Spengler, Bernhard