How Eluents Define Proteomic Fingerprinting of Protein Corona on Nanoparticles

Qiu, Liangjia; Zhang, Ying; Wang, Chen; Zhu, Yinhua; Yang, Yongzhen; Chu, Zheng; Gao, Peng; Chen, Guangqing; Ma, Ang; Wong, Yin Kwan; Zhang, Junzhe; Xu, Chengchao; Wang, Jigang; Tang, Huan

doi:10.2139/ssrn.4284400

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given that NP-protein adsorption is highly selective and is influenced by their own physicochemical properties of both the proteins and the NPs [9,11,12,28,32,33], we first designed and synthesized a panel of zeolitebased NPs with different physicochemical characteristics, including M086 (NaY, Si/Al = 2.6), M158 (CHA, Si/ Al = 2.0) and M909 (FAU, Si/Al = 2.0) (Additional file 6: Table S1). We then evaluated the adsorption capacity of these NPs and relationship between concentration of NPs for plasma proteins (Additional file 1: Fig S1A ) by SDS-PAGE [37]. Our results showed that all three NPs reduced the dynamic range of plasma proteins and different concentration of NPs hardly changed the pattern of absorbed protein, especially above 0.5 mg ~ 200 mL.…”

Section: Preparation and Characterization Of Zeolite-based Nanopartic...mentioning

confidence: 96%

The development of a novel zeolite-based assay for efficient and deep plasma proteomic profiling

Li,

Huang,

et al. 2024

J Nanobiotechnol

View full text Add to dashboard Cite

Plasma proteins are considered the most informative source of biomarkers for disease diagnosis and monitoring. Mass spectrometry (MS)-based proteomics has been applied to identify biomarkers in plasma, but the complexity of the plasma proteome and the extremely large dynamic range of protein abundances in plasma make the clinical application of plasma proteomics highly challenging. We designed and synthesized zeolite-based nanoparticles to deplete high-abundance plasma proteins. The resulting novel plasma proteomic assay can measure approximately 3000 plasma proteins in a 45 min chromatographic gradient. Compared to those in neat and depleted plasma, the plasma proteins identified by our assay exhibited distinct biological profiles, as validated in several public datasets. A pilot investigation of the proteomic profile of a hepatocellular carcinoma (HCC) cohort identified 15 promising protein features, highlighting the diagnostic value of the plasma proteome in distinguishing individuals with and without HCC. Furthermore, this assay can be easily integrated with all current downstream protein profiling methods and potentially extended to other biofluids. In conclusion, we established a robust and efficient plasma proteomic assay with unprecedented identification depth, paving the way for the translation of plasma proteomics into clinical applications. Graphical Abstract

show abstract