Abstract
The lipidome is currently understudied but fundamental to life. Within the brain, little is known about cell-type lipid heterogeneity, and even less is known about cell-to-cell lipid diversity because it is difficult to study the lipids within individual cells. Here, we used single-cell mass spectrometry-based protocols to profile the lipidomes of 154 910 single cells across ten individuals consisting of five developmental ages and five brain regions, resulting in a unique lipid atlas available via a web browser of the developing human brain. From these data, we identify differentially expressed lipids across brain structures, cortical areas, and developmental ages. We inferred lipid profiles of several major cell types from this data set and additionally detected putative cell-type specific lipids. This data set will enable further interrogation of the developing human brain lipidome.
Original language | English (US) |
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Pages (from-to) | 2261-2270 |
Number of pages | 10 |
Journal | JACS Au |
Volume | 1 |
Issue number | 12 |
DOIs | |
State | Published - Dec 27 2021 |
Keywords
- MALDI
- astrocytes
- brain
- development
- mass spectrometry
- neurons
- single cell analysis
ASJC Scopus subject areas
- Analytical Chemistry
- Chemistry (miscellaneous)
- Physical and Theoretical Chemistry
- Organic Chemistry
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Data-Driven and Machine Learning Based Framework for Image-Guided Single-Cell Mass Spectrometry
Xie, Y. R. (Creator), Chari, V. K. (Creator), Grant, R. (Creator), Rubakhin, S. (Creator) & Sweedler, J. V. (Creator), University of Illinois Urbana-Champaign, Jan 16 2023
DOI: 10.13012/B2IDB-7302959_V1
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