The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Liquid Chromatography-Mass Spectrometry (LC-MS)-Based Lipidomics for Studies of Body Fluids and Tissues
Abstract
In this paper, analytical methodologies for the global profiling of lipids in serum and tissue samples are reported. The sample preparation is based on a modified Folch extraction, and the analysis is carried out with ultrahigh-performance liquid chromatography combined with mass spectrometry (UPLC-MS). For further identification, MS(n) mass spectrometry is carried out utilizing an LTQ-Orbitrap mass spectrometry as the detector. Such a system affords determination of accurate masses and is thus a highly useful tool for lipid identification. The repeatability of the analysis proved to be good, with relative standard errors for spiked samples being between 4.51 and 10.44%. The throughput of the methodology described here is over 100 samples a day.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Ultra Performance Liquid Chromatography (UPLC) coupled to electrospray ionization quadrupole time-of-flight mass spectrometry (QTOFMS) was used with the established protocol87.”
From Prolonged sleep restriction induces changes in pathways involved in cholesterol metabolism and inflammatory responses (2016) · cites this paper as [87]
Citations
Cites
Alberts, B., Johnson, A. D., Lewis, J. H., RAFF, M. C., Roberts, K. J., & Walter, P. (2007) · W.W. Norton eBooks · doi:10.1201/9780203833445 · Cited by 4,591
A comprehensive classification system for lipids
Fahy, E., Subramaniam, S., Brown, H. A., Glass, C. K., Merrill, A. H., Murphy, R. C., Raetz, C. R. H., Russell, D. W., Seyama, Y., Shaw, W., et al. (2005) · Journal of Lipid Research · doi:10.1194/jlr.e400004-jlr200 · Cited by 1,699
The emerging field of lipidomics
Wenk, M. R. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1776 · Cited by 1,362
Han, X., & Gross, R. W. (2004) · Mass Spectrometry Reviews · doi:10.1002/mas.20023 · Cited by 1,126
Large-Scale Human Metabolomics Studies: A Strategy for Data (Pre-) Processing and Validation
Bijlsma, S., Bobeldijk, I., Verheij, E. R., Ramaker, R., Kochhar, S., Macdonald, I. A., van Ommen, B., & Smilde, A. K. (2005) · Analytical Chemistry · doi:10.1021/ac051495j · Cited by 869
MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data
Katajamaa, M., Miettinen, J., & Orešič, M. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btk039 · Cited by 868
Self-citationOrešič, M., Simell, S., Sysi-Aho, M., Näntö-Salonen, K., Seppänen-Laakso, T., Parikka, V., Katajamaa, M., Hekkala, A., Mattila, I., Keskinen, P., et al. (2008) · The Journal of Experimental Medicine · doi:10.1084/jem.20081800 · Cited by 449
Self-citationProcessing methods for differential analysis of LC/MS profile data
Katajamaa, M., & Orešič, M. (2005) · BMC Bioinformatics · doi:10.1186/1471-2105-6-179 · Cited by 400
Self-citationAssessing the Nature of Lipid Raft Membranes
Niemelä, P. S., Ollila, O. H. S., Hyvönen, M., Karttunen, M., & Vattulainen, I. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030034 · Cited by 294
Nordström, A., O’Maille, G., Qin, C., & Siuzdak, G. E. (2006) · Analytical Chemistry · doi:10.1021/ac060245f · Cited by 278
Cited by
Sorted by citations
Human gut microbes impact host serum metabolome and insulin sensitivity
Pedersen, H. K., Gudmundsdottir, V., Nielsen, H. B., Hyotylainen, T., Nielsen, T., Jensen, B. A. H., Forslund, K., Hildebrand, F., Prifti, E., Falony, G., et al. (2016) · Nature · doi:10.1038/nature18646 · Cited by 2,116
Self-citationKostic, A. D., Gevers, D., Siljander, H., Vatanen, T., Hyötyläinen, T., Hämäläinen, A., Peet, A., Tillmann, V., Pöhö, P., Mattila, I. M., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.01.001 · Cited by 1,198
Self-citationComprehensive analysis of lipids in biological systems by liquid chromatography-mass spectrometry
Čajka, T., & Fiehn, O. (2014) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2014.04.017 · Cited by 683
Liu, X., & Locasale, J. W. (2017) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2017.01.004 · Cited by 453
Deficient Endoplasmic Reticulum-Mitochondrial Phosphatidylserine Transfer Causes Liver Disease
Hernández‐Álvarez, M. I., Sebastián, D., Vives, S., Ivanova, S., Bartoccioni, P., Kakimoto, P. A., Plana, N., Veiga, S. R., Hernandez, V. A., Vasconcelos, N., et al. (2019) · Cell · doi:10.1016/j.cell.2019.04.010 · Cited by 407
Self-citation
Metadata
- Authors
- Nygren, H., Seppänen-Laakso, T., Castillo, S., Hyötyläinen, T., & Orešič, M.
- Affiliations
- VTT Technical Research Centre of Finland (FI)
- Corresponding author
- Orešič, Matej
- Venue
- Methods in Molecular Biology
- Publisher
- Humana Press
- Published
- 2010-12-17
- Volume
- 708
- Pages
- 247-257
- ISSN
- 1064-3745 (ISSN-L)
- 1940-6029
- OpenAlex
- W207791811
- Cited by
- 154
- References
- 18
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 6 · 2023: 6 · 2022: 9 · 2021: 11 · 2020: 10 · 2019: 8 · 2018: 7 · 2017: 10 · 2016: 10 · 2015: 9 · 2014: 19 · 2013: 16 · 2012: 12
- FWCI
- 14.31
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Methods in molecular biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Keywords
- lipidomics, serum lipids, tissue lipids, biological fluids, Folch extraction, UPLC-MS, accurate mass, LTQ-Orbitrap, sample preparation
- MeSH terms
- Body Fluids, Chromatography, High Pressure Liquid, Humans, Lipids, Mass Spectrometry, Clinical Chemistry Tests, Analytic Sample Preparation Methods
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review