scholarly journals Identification and characterization of colorectal cancer using Raman spectroscopy and feature selection techniques

2014 ◽  
Vol 22 (21) ◽  
pp. 25895 ◽  
Author(s):  
Shaoxin Li ◽  
Gong Chen ◽  
Yanjiao Zhang ◽  
Zhouyi Guo ◽  
Zhiming Liu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Raman Spectroscopy ◽  
Feature Selection ◽  
Feature Selection Techniques ◽  
Identification And Characterization

Applications of Raman Spectroscopy in Mineralogy and Geochemistry

Elements ◽  
2020 ◽  
Vol 16 (2) ◽  
pp. 99-104 ◽  
Author(s):  
Lutz Nasdala ◽  
Christian Schmidt
Keyword(s):  
Raman Spectroscopy ◽  
Data Reduction ◽  
Analytical Tool ◽  
Identification And Characterization

The application of Raman spectroscopy for the identification and characterization of minerals and related materials has increased appreciably during recent years. Raman spectroscopy has proven to be a most valuable and versatile analytical tool. Successful applications cover virtually all the mineralogical sub-disciplines, and have become more numerous in geochemistry. We present a general summary of present applications, illustrated by selected examples. In addition, we briefly point out several aspects of spectral acquisition, data reduction, and interpretation of Raman results that are important for the application of Raman spectroscopy as a reliable analytical tool.

scholarly journals Label-free identification and characterization of living human primary and secondary tumour cells

The Analyst ◽  
2015 ◽  
Vol 140 (15) ◽  
pp. 5162-5168 ◽  
Author(s):  
Dimitrios Tsikritsis ◽  
Susanna Richmond ◽  
Patrick Stewart ◽  
Alistair Elfick ◽  
Andrew Downes
Keyword(s):  
Raman Spectroscopy ◽  
Atomic Force Microscopy ◽  
Tumour Cells ◽  
Label Free ◽  
Force Microscopy ◽  
Atomic Force ◽  
Secondary Tumour ◽  
Identification And Characterization

Primary and secondary tumour cells exhibit biochemical differences (with Raman spectroscopy and imaging), and mechanical differences (with atomic force microscopy).

scholarly journals Identification and characterization of a novel SCYL3-NTRK1 rearrangement in a colorectal cancer patient

Oncotarget ◽  
2017 ◽  
Vol 8 (33) ◽  
pp. 55353-55360 ◽  
Author(s):  
Massimo Milione ◽  
Elena Ardini ◽  
Jason Christiansen ◽  
Emanuele Valtorta ◽  
Silvio Veronese ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patient ◽  
Colorectal Cancer Patient ◽  
Identification And Characterization

scholarly journals Super Secondary Structures of Proteins with Post-Translational Modifications in Colon Cancer

Molecules ◽  
2020 ◽  
Vol 25 (14) ◽  
pp. 3144
Author(s):  
Dmitry Tikhonov ◽  
Liudmila Kulikova ◽  
Arthur Kopylov ◽  
Kristina Malsagova ◽  
Alexander Stepanov ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Control Cell ◽  
Three Dimensional ◽  
Vitamin D Binding Protein ◽  
High Throughput Analysis ◽  
Post Translational Modifications ◽  
New Strategy ◽  
The Impact ◽  
Identification And Characterization

New advances in protein post-translational modifications (PTMs) have revealed a complex layer of regulatory mechanisms through which PTMs control cell signaling and metabolic pathways, contributing to the diverse metabolic phenotypes found in cancer. Using conformational templates and the three-dimensional (3D) environment investigation of proteins in patients with colorectal cancer, it was demonstrated that most PTMs (phosphorylation, acetylation, and ubiquitination) are localized in the supersecondary structures (helical pairs). We showed that such helical pairs are represented on the outer surface of protein molecules and characterized by a largely accessible area for the surrounding solvent. Most promising and meaningful modifications were observed on the surface of vitamin D-binding protein (VDBP), complement C4-A (CO4A), X-ray repair cross-complementing protein 6 (XRCC6), Plasma protease C1 inhibitor (IC1), and albumin (ALBU), which are related to colorectal cancer developing. Based on the presented data, we propose the impact of the observed modifications in immune response, inflammatory reaction, regulation of cell migration, and promotion of tumor growth. Here, we suggest a computational approach in which high-throughput analysis for identification and characterization of PTM signature, associated with cancer metabolic reprograming, can be improved to prognostic value and bring a new strategy to the targeted therapy.

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