Home > Publications database > A Comprehensive High-Resolution Targeted Workflow for the Deep Profiling of Sphingolipids. > print |
001 | 131644 | ||
005 | 20240228145611.0 | ||
024 | 7 | _ | |2 doi |a 10.1021/acs.analchem.7b03576 |
024 | 7 | _ | |2 pmid |a pmid:29039908 |
024 | 7 | _ | |2 ISSN |a 0003-2700 |
024 | 7 | _ | |2 ISSN |a 0096-4484 |
024 | 7 | _ | |2 ISSN |a 1520-6882 |
024 | 7 | _ | |a altmetric:28321245 |2 altmetric |
037 | _ | _ | |a DKFZ-2017-06276 |
041 | _ | _ | |a eng |
082 | _ | _ | |a 540 |
100 | 1 | _ | |a Peng, Bing |b 0 |
245 | _ | _ | |a A Comprehensive High-Resolution Targeted Workflow for the Deep Profiling of Sphingolipids. |
260 | _ | _ | |a Columbus, Ohio |b American Chemical Society |c 2017 |
336 | 7 | _ | |2 DRIVER |a article |
336 | 7 | _ | |2 DataCite |a Output Types/Journal article |
336 | 7 | _ | |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |a Journal Article |b journal |m journal |s 1521536496_6283 |
336 | 7 | _ | |2 BibTeX |a ARTICLE |
336 | 7 | _ | |2 ORCID |a JOURNAL_ARTICLE |
336 | 7 | _ | |0 0 |2 EndNote |a Journal Article |
520 | _ | _ | |a Sphingolipids make up a highly diverse group of biomolecules that not only are membrane components but also are involved in various cellular functions such as signaling and protein sorting. To obtain a quantitative view of the sphingolipidome, sensitive, accurate, and comprehensive methods are needed. Here, we present a targeted reversed-phase liquid chromatography-high-resolution mass spectrometry-based workflow that significantly increases the accuracy of measured sphingolipids by resolving nearly isobaric and isobaric species; this is accomplished by a use of (i) an optimized extraction procedure, (ii) a segmented gradient, and (iii) parallel reaction monitoring of a sphingolipid specific fragmentation pattern. The workflow was benchmarked against an accepted sphingolipid model system, the RAW 264.7 cell line, and 61 sphingolipids were quantified over a dynamic range of 7 orders of magnitude, with detection limits in the low femtomole per milligram of protein level, making this workflow an extremely versatile tool for high-throughput sphingolipidomics. |
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588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
700 | 1 | _ | |a Weintraub, Susan T |b 1 |
700 | 1 | _ | |0 0000-0002-3771-2410 |a Coman, Cristina |b 2 |
700 | 1 | _ | |a Ponnaiyan, Srigayatri |b 3 |
700 | 1 | _ | |0 P:(DE-He78)712670f67b229b25980c0e1c88ae8a09 |a Sharma, Rakesh |b 4 |u dkfz |
700 | 1 | _ | |0 P:(DE-He78)a33ae52a1d80b847405db3ab83b9e90d |a Tews, Björn |b 5 |u dkfz |
700 | 1 | _ | |0 0000-0001-6788-6641 |a Winter, Dominic |b 6 |
700 | 1 | _ | |0 0000-0003-0232-3375 |a Ahrends, Robert |b 7 |
773 | _ | _ | |0 PERI:(DE-600)1483443-1 |a 10.1021/acs.analchem.7b03576 |g Vol. 89, no. 22, p. 12480 - 12487 |n 22 |p 12480 - 12487 |t Analytical chemistry |v 89 |x 1520-6882 |y 2017 |
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