The dynamical network biomarker (DNB) theory detects the early warning signals of state transitions utilizing fluctuations in and correlations between variables in complex systems. Although the DNB theory has been applied to gene expression in several diseases, destructive testing by microarrays is a critical issue. Therefore, other biological information obtained by non-destructive testing is desirable; one such piece of information is Raman spectra measured by Raman spectroscopy. Raman spectroscopy is a powerful tool in life sciences and many other fields that enable the label-free non-invasive imaging of live cells and tissues along with detailed molecular fingerprints. Naïve and activated T cells have recently been successfully distinguished from each other using Raman spectroscopy without labeling. In the present study, we applied the DNB theory to Raman spectra of T cell activation as a model case. The dataset consisted of Raman spectra of the T cell activation process observed at 0 (naïve T cells), 2, 6, 12, 24 and 48 h (fully activated T cells). In the DNB analysis, the F-test and hierarchical clustering were used to detect the transition state and identify DNB Raman shifts. We successfully detected the transition state at 6 h and related DNB Raman shifts during the T cell activation process. The present results suggest novel applications of the DNB theory to Raman spectra ranging from fundamental research on cellular mechanisms to clinical examinations.
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http://dx.doi.org/10.3390/biom12121730 | DOI Listing |
Biosens Bioelectron
December 2024
Key Laboratory of Advanced Materials (MOE), School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China. Electronic address:
The complexity of serum constituents and the lack of knowledge on biomarkers bring obstacles for reliable cancer screening with the limited information obtained by surface-enhanced Raman scattering (SERS) on a single substrate. We report here an extremely high-accurate approach for cancer screening by biomarker-free serum-SERS technique which employs three principal SERS substrates that are of specially designed surface properties. With three substrates rich information on serum can be obtained from SERS spectra, of which quadratic discriminant analysis (QDA) yields excellent classifications of serum samples independently.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
Food Science Program, University of Missouri, Columbia, Missouri 65211, United States.
The widespread use of pesticides in agriculture poses food safety and environmental risks, highlighting the need for rapid detection techniques to mitigate contamination. Surface-enhanced Raman spectroscopy (SERS) coupled with machine learning provides a powerful approach for the detection and quantification of multiple pesticides in agricultural products. This study introduces the SERSFormer-2.
View Article and Find Full Text PDFInorg Chem
December 2024
Laboratory of Nuclear Energy Chemistry, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.
Cage-based MOFs, with their customizable chemical environments and precisely controllable nanospaces, show great potential for the selective adsorption of guest molecules with specific structures. In this work, we have constructed a novel cage-based MOF [(CH)NH][(UO)(TMTTA)]·11.5DMF·2HO (IHEP-51), utilizing a triazine derivative poly(carboxylic acid), 4,4',4″-(((1,3,5-triazine-2,4,6-triyl)tris(((4-carboxycyclohexyl)methyl)azanediyl))tris(methylene))tribenzoic acid (HTMTTA), as an organic ligand and uranyl as a metal node.
View Article and Find Full Text PDFJ Am Chem Soc
December 2024
Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, United States.
A conventional performance metric for electrocatalysts that promote the oxygen evolution reaction (OER) is the current density at a given overpotential. However, the assumption that increased current density at lower overpotentials indicates superior catalyst design is precarious for OER catalysts in the working environment, as the crystalline lattice is prone to deconstruction and amorphization, thus greatly increasing the concentration of catalytic active sites. We show this to be the case for La incorporation into CoO.
View Article and Find Full Text PDFAAPS J
December 2024
Global Bioprocess Development, Vaccine CMC Development & Supply, Sanofi, 1541 Avenue Marcel Merieux, Marcy-L' Etoile, 69280, France.
Spectroscopy (UV-visible, circular dichroism, infrared, Raman, fluorescence, etc.) is of fundamental importance to determine the structures of macromolecules and monitor their stability, especially for drug products, based on proteins or nucleic acids. In their 2014 article, Dinh et al.
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