Abdelhafid, A. M. | bioRxiv Science

bioRxiv2025

Characterisation of LAMP1- and LAMP2A-positive organelles in neurons

LAMP1 and LAMP2A are abundant proteins of late endosomal/lysosomal compartments, which are often used interchangeably to label what is thought to be the same pool of organelles, potentially obscuring their unique physiological roles. Here, we characterised the transport dynamics of LAMP1- and LAMP2A-positive compartments in human iPSC-derived cortical neurons. We found that axonal LAMP1-positive organelles move more slowly in the retrograde direction, pause more frequently, and show a broader velocity distribution in the anterograde direction than LAMP2A-positive vesicles, suggesting they are distinct compartments with differential trafficking behaviour. To explore the molecular mechanism underlying these differences, we characterised with high spatiotemporal precision, the protein interactomes of LAMP1 and LAMP2A-positive compartments through proximity labelling, using full-length LAMP1 or LAMP2A fused to the light-activated biotin ligase LOV-Turbo. We identified and validated the endosomal protein, ZFYVE16, as a novel member of LAMP1 and LAMP2A interactomes. We suggest that LAMP2A-positive organelles represent a subset of LAMP1-positive compartments, which are surprisingly enriched in synaptic vesicle proteins. Summary statementLAMP1- and LAMP2A-positive organelles have different axonal transport dynamics and form distinct organelle pools characterised by specific protein compositions.

neuroscience↗

bioRxiv2024

RNA editing is a molecular clock in unmodified human cells

Despite major advances in spatial RNA sequencing, the ability to extract temporal information in RNA sequencing experiments is still limited. Here, we describe Transcriptome Timestamping (T2), a system which harnesses naturally occurring A-to-I editing of RNA transcripts in unmodified human cells to infer transcriptional history. T2 provides age estimates for individual RNA transcripts, and serves as an endogenous molecular recorder, differentiating between complex transcriptional programs. We show that T2 can identify transient and transitional transcriptional programs in primary differentiating monocytes that are not apparent from gene expression analysis alone, including a regulatory module in the monocyte-to-macrophage transition that, to our knowledge, has not yet been described in humans. Finally, we show that T2 can also be applied to single cell data, allowing us to identify transcriptional programs in heterogeneous populations, such as asynchronously dividing cells. T2 is a scalable approach to temporal transcriptomics that can be applied to track the activity of thousands of genes in unmodified, primary human cells and tissues, with no genetic engineering.

genomics↗