Molecular NeurobiologyNeurosciencePeer-reviewed journal article
Most L1CAM is not associated with extracellular vesicles in human biofluids and iPSC-derived neurons
Vaibhavi Kadam, Madeleine Wacker, Patrick OeckliD, Milena KorneckiD, Benjamin DannenmanniD, Julia SkokowaiD, Stefan HauseriD, Markus OttoiD, Matthis SynofzikiD, David MengeliD
Abstract
Transmembrane L1 cell adhesion molecule (L1CAM) is widely used as a marker to enrich for neuron-derived extracellular vesicles (EVs), especially in plasma. However, this approach lacks sufficient robust validation. This study aimed to assess whether human biofluids are indeed enriched for EVs, particularly neuron-derived EVs, by L1CAM immunoaffinity, utilizing multiple sources (plasma, CSF, conditioned media from iPSC-derived neurons [iNCM]) and different methods (mass spectrometry [MS], nanoparticle tracking analysis [NTA]). Following a systematic multi-step validation approach, we confirmed isolation of generic EV populations using size-exclusion chromatography (SEC) and polymer-aided precipitation (PPT) - two most commonly applied EV isolation methods - from all sources. Neurofilament light (NfL) was detected in both CSF and blood-derived EVs, indicating their neuronal origin. However, L1CAM immunoprecipitation did not yield enrichment of L1CAM in EV fractions. Instead, it was predominantly found in its free-floating form. Additionally, MS-based proteomic analysis of CSF-derived EVs also did not show L1CAM enrichment. Our study validates EV isolation from diverse biofluid sources by several isolation approaches and confirms that some EV subpopulations in human biofluids are of neuronal origin. Thorough testing across multiple sources by different orthogonal methods, however, does not support L1CAM as a marker to reliably enrich for a specific subpopulation of EVs, particularly of neuronal origin.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 25
- FWCI
- 7.47
- Field percentile
- top 2%
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