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The Journal of clinical investigation · 2024

Tagless LysoIP for immunoaffinity enrichment of native lysosomes from clinical samples.

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Saarela Daniel, Lis Pawel, Gomes Sara, Nirujogi Raja S, Dong Wentao, Rawat Eshaan, Glendinning Sophie, Zeneviciute Karolina, Bagnoli Enrico, Fasimoye Rotimi, Lin Cindy, Nyame Kwamina, Boros Fanni A, Zunke Friederike, Lamoliatte Frederic, Elshani Sadik, Jaconelli Matthew, Jans Judith Jm, Huisman Margriet A, Posern Christian, Westermann Lena M, Schulz Angela, van Hasselt Peter M, Alessi Dario R, Abu-Remaileh Monther, Sammler Esther M

Аннотация

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 immunoprecipitation (LysoTagIP) in cell and animal models has substantially moved the field forward, but studying lysosomal dysfunction in patients remains challenging. Here, we report the development of the 'tagless LysoIP' method, designed to enable the rapid enrichment of lysosomes, via immunoprecipitation, using the endogenous integral lysosomal membrane protein TMEM192, directly from clinical samples and human cell lines (e.g., induced pluripotent stem cell-derived neurons). Isolated lysosomes were intact and suitable for subsequent multimodal omics analyses. To validate our approach, we applied the tagless LysoIP to enrich lysosomes from peripheral blood mononuclear cells derived from fresh blood of healthy donors and patients with CLN3 disease, an autosomal recessive neurodegenerative LSD. Metabolic profiling of isolated lysosomes revealed 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 disease biomarkers, and discover human-relevant disease mechanisms.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты