High-throughput Fluorescence-guided Sequential Single-Cell MALDI-ICC Mass Spectrometry
Dataset Description |
We developed a sequential single-cell matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) workflow that enables endogenous lipid profiling in the first step, followed by cell-type classification of the same cells via immunocytochemistry in the second step. This stepwise approach integrates high-throughput single-cell analysis enabled by microMS with multiplex immunolabeling using photocleavable mass tags (PCMTs), which are antibodies conjugated to peptide mass reporters that are photoreleased and then detected by MALDI-MS. This platform combines the strengths of untargeted chemical profiling with targeted marker-based cell identification, allowing characterization of the cells’ endogenous metabolic activity, followed by cell classification using well-established immunomarkers. Here, we provide the raw data, mzML-converted files, and LC-MS/MS data from rodent hippocampal cells as described in the manuscript. |
Subject |
Life Sciences |
Keywords |
Single Cell Mass Spectrometry; MALDI; Hippocampal Cells; Lipidomics; Photocleavable Mass-tags |
License |
CC BY |
Funder |
U.S. National Institutes of Health (NIH)-Grant:P30DA018310 |
Funder |
U.S. National Institutes of Health (NIH)-Grant:S10OD032242 |
Funder |
U.S. National Institutes of Health (NIH)-Grant:R01AG078797 |
Corresponding Creator |
Jonathan Sweedler |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-9244584_V1 | 2025-11-14 |
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