ArticlebioRxiv : the preprint server for biology2026
Unbiased, systematic surfaceome profiling of Acute Leukemia to identify novel immunotherapy targets.
Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
17 authors.
Funding
Abstract
Cell surface proteomics provides a direct topological assessment of the outer membrane of cells and enables the capture of low abundance proteins that may be missed by whole cell proteomics. Here we present an unbiased atlas of the whole cell and surface proteomes of 25 commonly used leukemic cell lines, encompassing both lymphoid and myeloid lineages, and a variety of driver mutations. Paired-wise analysis highlights recurrent surface proteins that are not detected by whole cell proteomics. Coupling this dataset to RNA-sequencing, we also discovered genes where protein and RNA abundances are discordant. In KMT2A-rearranged AML, CD70 expression was increased across cell lines and validated in primary patient samples, supporting CD70 as a candidate therapeutic target in this disease. Several proteins are enriched in the surface proteomes but lack surface annotation, adding to the list of non-canonical cell surface proteins, including RNA-binding proteins, an emerging class of candidate immunotherapeutic targets.
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Registered trials
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