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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Updated: Data upload for Tagless LysoIP method for molecular profiling of lysosomal content in clinical samples

Authors: Saarela, Daniel; Lis, Pawel; Gomes, Sara; Nirujogi, Raja; Dong, Wentao; Rawat, Eshaan; Glendinning, Sophie; +19 Authors

Updated: Data upload for Tagless LysoIP method for molecular profiling of lysosomal content in clinical samples

Abstract

Lysosomes are implicated in a wide spectrum of human diseases including monogenic lysosomal storage disorders (LSDs), age-associated neurodegeneration and cancer. Profiling lysosomal content using tag-based lysosomal immunoisolation (LysoTagIP) in cell and animal models allowed major discoveries in the field, however, studying lysosomal dysfunction in human patients remains a challenge. Here, we report the development of the tagless LysoIP method to enable rapid enrichment of lysosomes, via immunoisolation, using the endogenous integral lysosomal membrane protein TMEM192, directly from clinical samples and human cell lines. Isolated lysosomes are intact and suitable for subsequent multimodal omics analyses. To validate the utility of our approach, we employed the tagless LysoIP to enrich lysosomes from peripheral blood mononuclear cells (PBMCs) derived from fresh blood of patients with CLN3 Batten disease, a neurodegenerative LSD. Metabolic profiling of isolated lysosomes showed massive accumulation of glycerophosphodiesters (GPDs) in patients’ lysosomes. Interestingly, a patient with a milder phenotype and genotype, displayed lower accumulation of lysosomal GPDs, consistent with their potential role as disease biomarkers. Altogether, the tagless LysoIP provides a framework to study native lysosomes from patient samples, identify novel biomarkers and discover human-relevant disease mechanisms.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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