Label-Free Electronic Detection of Thrombin in Blood Serum by Using an Aptamer-Based Sensor

2005 ◽  
Vol 117 (34) ◽  
pp. 5592-5595 ◽  
Author(s):  
Yi Xiao ◽  
Arica A. Lubin ◽  
Alan J. Heeger ◽  
Kevin W. Plaxco
2005 ◽  
Vol 44 (34) ◽  
pp. 5456-5459 ◽  
Author(s):  
Yi Xiao ◽  
Arica A. Lubin ◽  
Alan J. Heeger ◽  
Kevin W. Plaxco

Talanta ◽  
2020 ◽  
Vol 218 ◽  
pp. 121138 ◽  
Author(s):  
Sandeep Surendra Panikar ◽  
Nehla Banu ◽  
Elia-Reza Escobar ◽  
Gonzalo-Ramírez García ◽  
Jesús Cervantes-Martínez ◽  
...  

2011 ◽  
Vol 4 ◽  
pp. PRI.S6470
Author(s):  
Sandra Sénéchal ◽  
Martin Kussmann

Blood serum is a body fluid widely used for biomarker discovery and therefore numerous studies aim at defining its proteome. The serum proteome is subject to fluctuations resulting from biological variability (eg, diurnal variations) reflecting both healthy and/or disease-related conditions. Inter-individual differences originate partly at the genetic level and may influence clinical blood profile including the serum proteome. Therefore we investigated whether serum protein abundance is genetically determined: we report the study of a cohort of 146 Portuguese Water Dogs, a dog breed whose genetic background has been well characterized. We generated protein profiles of dog sera on 1D-gels and correlated them with microsatellite markers. We detected correlations between 7 gel bands and 11 genetic regions and developed a label-free protein quantification method to identify and quantify the proteins most accountable for serum proteome variation. An association between the abundance of RBP4 in dog serum and the adiponectin gene was detected.


2008 ◽  
Vol 112 (26) ◽  
pp. 9891-9895 ◽  
Author(s):  
Xiaochen Dong ◽  
Dongliang Fu ◽  
Yanping Xu ◽  
Jinquan Wei ◽  
Yumeng Shi ◽  
...  

2016 ◽  
Vol 90 ◽  
pp. 852-857 ◽  
Author(s):  
Hu Chen ◽  
Teck Kian Choo ◽  
Jingfeng Huang ◽  
Yi Wang ◽  
Yuanjun Liu ◽  
...  

2021 ◽  
Author(s):  
Ana Cristina Castro Goulart ◽  
Landulfo Silveira ◽  
Henrique Cunha Carvalho ◽  
Cristiane Bissoli Dorta ◽  
Marcos Tadeu Tavares Pacheco ◽  
...  

This preliminary study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for COVID-19 by RT-PCR RNA and ELISA tests were analyzed. Raman spectra were obtained with a dispersive Raman spectrometer (830 nm, 350 mW) in triplicate, being submitted to exploratory analysis with principal component analysis (PCA) to identify the spectral differences and discriminant analysis with PCA (PCA-DA) and partial least squares (PLS-DA) for classification of the blood serum spectra into Control and COVID-19. The spectra of both groups positive and negative for COVID-19 showed peaks referred to the basal constitution of the serum (mainly albumin). The difference spectra showed decrease in the peaks referred to proteins and amino acids for the group positive. PCA variables showed more detailed spectral differences related to the biochemical alterations due to the COVID-19 such as increase in lipids, nitrogen compounds (urea and amines/amides) and nucleic acids, and decrease of proteins and amino acids (tryptophan) in the COVID-19 group. The discriminant analysis applied to the principal component loadings (PC 2, PC 4, PC 5 and PC 6) could classify spectra with 87% sensitivity and 100% specificity compared to 95% sensitivity and 100% specificity indicated in the RT-PCR kit leaflet, demonstrating the possibilities of a rapid, label-free and costless technique for diagnosing COVID-19 infection.


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