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LipidXplorer: A Software for Consensual Cross-Platform Lipidomics
Open accessAbstract
LipidXplorer is the open source software that supports the quantitative characterization of complex lipidomes by interpreting large datasets of shotgun mass spectra. LipidXplorer processes spectra acquired on any type of tandem mass spectrometers; it identifies and quantifies molecular species of any ionizable lipid class by considering any known or assumed molecular fragmentation pathway independently of any resource of reference mass spectra. It also supports any shotgun profiling routine, from high throughput top-down screening for molecular diagnostic and biomarker discovery to the targeted absolute quantification of low abundant lipid species. Full documentation on installation and operation of LipidXplorer, including tutorial, collection of spectra interpretation scripts, FAQ and user forum are available through the wiki site at: https://wiki.mpi-cbg.de/wiki/lipidx/index.php/Main_Page.
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Cites
Lipidomics reveals a remarkable diversity of lipids in human plasma
Quehenberger, O., Armando, A. M., Brown, A. H., Milne, S. B., Myers, D. S., Merrill, A. H., Bandyopadhyay, S., Jones, K. N., Kelly, S., Shaner, R. L., et al. (2010) · Journal of Lipid Research · doi:10.1194/jlr.m009449 · Cited by 1,341
Orešič, 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
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Modulation of Myelopoiesis Progenitors Is an Integral Component of Trained Immunity
Mitroulis, I., Ruppova, K., Wang, B., Chen, L.-S., Grzybek, M., Grinenko, T., Eugster, A., Troullinaki, M., Palladini, A., Kourtzelis, I., et al. (2018) · Cell · doi:10.1016/j.cell.2017.11.034 · Cited by 1,100
Lipid droplet size directs lipolysis and lipophagy catabolism in hepatocytes
Schott, M. B., Weller, S. G., Schulze, R. J., Krueger, E. W., Drizyte-Miller, K., Casey, C. A., & McNiven, M. A. (2019) · Journal of Cell Biology · doi:10.1083/jcb.201803153 · Cited by 348
Koelmel, J. P., Kroeger, N. M., Ulmer, C. Z., Bowden, J. A., Patterson, R. E., Cochran, J. A., Beecher, C. W. W., Garrett, T. J., & Yost, R. A. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1744-3 · Cited by 346
Burla, B., Arita, M., Arita, M., Bendt, A. K., Cazenave-Gassiot, A., Dennis, E. A., Ekroos, K., Han, X., Ikeda, K., Liebisch, G., et al. (2018) · Journal of Lipid Research · doi:10.1194/jlr.s087163 · Cited by 312
Self-citationGenome-wide association analysis of plasma lipidome identifies 495 genetic associations
Ottensmann, L., Tabassum, R., Ruotsalainen, S. E., Gerl, M. J., Klose, C., Widén, E., FinnGen, Simons, K., Ripatti, S., & Pirinen, M. (2023) · Nature Communications · doi:10.1038/s41467-023-42532-8 · Cited by 269
Metadata
- Authors
- Herzog, R., Schuhmann, K., Schwudke, D., Sampaio, J. L., Bornstein, S. R., Schroeder, M., & Shevchenko, A.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-01-17
- Volume
- 7
- Issue
- 1
- Pages
- e29851
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1989378845
- Cited by
- 416
- References
- 2
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- gold
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- Herzog, R., Schuhmann, K., Schwudke, D., Sampaio, J. L., Bornstein, S. R., Schroeder, M., & Shevchenko, A. (2012). LipidXplorer: A Software for Consensual Cross-Platform Lipidomics. PLoS ONE. https://doi.org/10.1371/journal.pone.0029851
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