Development and application of high-throughput single cell lipid profiling: a study of SNCA-A53T human dopamine neurons
dc.contributor.author | Snowden, stuart | en |
dc.contributor.author | Fernandes, Hugo JR | en |
dc.contributor.author | Kent, Josh | en |
dc.contributor.author | Foskolou, Stefanie | en |
dc.contributor.author | Tate, Per | en |
dc.contributor.author | Field, Sarah | en |
dc.contributor.author | Metzakopian, Emmanouil | en |
dc.contributor.author | Koulman, Albert | en |
dc.date.accessioned | 2020-10-21T23:30:18Z | |
dc.date.available | 2020-10-21T23:30:18Z | |
dc.identifier.issn | 2589-0042 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/311782 | |
dc.description.abstract | Advances in single cell genomics and transcriptomics have shown that at tissue level there is complex cellular heterogeneity. To understand the effect of this inter-cell heterogeneity on metabolism it is essential to develop a single cell lipid profiling approach that allows the measurement of lipids in large numbers of single cells from a population. This will provide a functional read out of cell activity and membrane structure. Using liquid extraction surface analysis (LESA) coupled with high-resolution mass spectrometry we have developed a high-throughput method for untargeted single cell lipid profiling. This technological advance highlighted the importance of cellular heterogeneity in the functional metabolism of individual human dopamine neurons, suggesting that A53T alpha-synuclein (SNCA) mutant neurons have impaired membrane function. These results demonstrate that this single cell lipid profiling platform can provide robust data that will expand the frontiers in biomedical research. | |
dc.description.sponsorship | This work was supported by the Michael J Fox Foundation grant ID 16486. Stuart G. Snowden was also supported by the BBSRC (BB/P028195/1) and Albert Koulman by the National Institute of Health Research Cambridge Biomedical Research Centre (146281). Emmanouil Metzakopian is funded by UK DRI grant ID RRZA/175. Hugo J. R. Fernandes is funded by Open Targets (OTAR035). | |
dc.publisher | Elsevier | |
dc.rights | All rights reserved | |
dc.rights.uri | ||
dc.title | Development and application of high-throughput single cell lipid profiling: a study of SNCA-A53T human dopamine neurons | en |
dc.type | Article | |
prism.publicationName | iScience | en |
dc.identifier.doi | 10.17863/CAM.58872 | |
dcterms.dateAccepted | 2020-10-15 | en |
rioxxterms.versionofrecord | 10.1016/j.isci.2020.101703 | en |
rioxxterms.version | AM | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | en |
rioxxterms.licenseref.startdate | 2020-10-15 | en |
dc.contributor.orcid | Koulman, Albert [0000-0001-9998-051X] | |
dc.identifier.eissn | 2589-0042 | |
rioxxterms.type | Journal Article/Review | en |
pubs.funder-project-id | BBSRC (BB/P028195/1) | |
pubs.funder-project-id | Michael J. Fox Foundation (MJFF) (MJFF 16486) | |
cam.issuedOnline | 2020-10-21 | en |
cam.orpheus.counter | 1 | * |
rioxxterms.freetoread.startdate | 2023-10-21 |
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