Mass Spectrometry-Based Analytical Strategy for Single-Cell Proteomics

Author(s):  
Ákos Végvári
2021 ◽  
Author(s):  
Camille Lombard-Banek ◽  
Jie Li ◽  
Erika P. Portero ◽  
Rosemary M. Onjiko ◽  
Chase D. Singer ◽  
...  

2021 ◽  
Vol 93 (17) ◽  
pp. 6848-6856
Author(s):  
Fei-Long Liu ◽  
Tian-Tian Ye ◽  
Jiang-Hui Ding ◽  
Xiao-Ming Yin ◽  
Xiao-Ke Yang ◽  
...  

2021 ◽  
Vol 133 (23) ◽  
Author(s):  
Camille Lombard‐Banek ◽  
Jie Li ◽  
Erika P. Portero ◽  
Rosemary M. Onjiko ◽  
Chase D. Singer ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3184
Author(s):  
Zhiyang Wu ◽  
Patrick Hundsdoerfer ◽  
Johannes H. Schulte ◽  
Kathy Astrahantseff ◽  
Senguel Boral ◽  
...  

Risk classification plays a crucial role in clinical management and therapy decisions in children with neuroblastoma. Risk assessment is currently based on patient criteria and molecular factors in single tumor biopsies at diagnosis. Growing evidence of extensive neuroblastoma intratumor heterogeneity drives the need for novel diagnostics to assess molecular profiles more comprehensively in spatial resolution to better predict risk for tumor progression and therapy resistance. We present a pilot study investigating the feasibility and potential of matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) to identify spatial peptide heterogeneity in neuroblastoma tissues of divergent current risk classification: high versus low/intermediate risk. Univariate (receiver operating characteristic analysis) and multivariate (segmentation, principal component analysis) statistical strategies identified spatially discriminative risk-associated MALDI-based peptide signatures. The AHNAK nucleoprotein and collapsin response mediator protein 1 (CRMP1) were identified as proteins associated with these peptide signatures, and their differential expression in the neuroblastomas of divergent risk was immunohistochemically validated. This proof-of-concept study demonstrates that MALDI-MSI combined with univariate and multivariate analysis strategies can identify spatially discriminative risk-associated peptide signatures in neuroblastoma tissues. These results suggest a promising new analytical strategy improving risk classification and providing new biological insights into neuroblastoma intratumor heterogeneity.


2018 ◽  
Vol 9 (40) ◽  
pp. 7779-7786 ◽  
Author(s):  
Zhenwei Wei ◽  
Xiaochao Zhang ◽  
Jinyu Wang ◽  
Sichun Zhang ◽  
Xinrong Zhang ◽  
...  

The identification of trace components from an individual cell can require derivatization under mild conditions for successful analysis by mass spectrometry (MS).


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