ArticleNature biomedical engineering2026
Label-free protein-structure-sensitive live-cell microscopy for patient-specific assessment of myeloma therapy.
Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Spatial transcriptomics maps distinct signatures of human intermuscular adipose expansion in mice.medRxiv : the preprint server for health sciences · 2026Article
- Label-free protein-structure-sensitive live-cell microscopy for patient-specific assessment of myeloma therapy.Nature biomedical engineering · 2026Article
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Authors and funding
11 authors.
Funding
Abstract
The efficacy of drug therapy in multiple myeloma is conventionally assessed by whole-cell-population methods, serum analysis of light chains and monoclonal antibodies, immunofixation electrophoresis, or by flow cytometry of bone marrow aspirates and biopsies. These methods provide relevant information on the presence of specific immunoglobulins at high sensitivity and specificity but require a large number of cells, involve long and laborious sample preparation steps, and provide only tumour bulk information. Here we develop a single-cell imaging technique requiring a reduced number of primary cells for longitudinal evaluation of patient-specific treatment and assessment of treatment heterogeneity. By exploiting the mechanistic action of proteasome inhibition and in synergy with the label-free protein-structure specificity of mid-infrared optoacoustic microscopy, we present a technology that facilitates longitudinal evaluation of myeloma treatment and a patient's heterogeneous response. Detecting optical-generated ultrasound waves that intensify with optical absorption, this technology allows observation of proteins in living cells with high sensitivity. Specifically, we use intermolecular β-sheet formation as a biomarker for cell viability during therapy and apply it to assess drug-treatment performance in multiple myeloma patients.
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Registered trials
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