Dataset Information

Label free detection of 5'hydroxymethylcytosine within CpG islands using optical sensors.

ABSTRACT: Significant research has been invested in correlating genetic variations with different disease probabilities. Recently, it has become apparent that other DNA modifications, such as the addition of a methyl or hydroxymethyl group to cytosine, can also play a role. While these modifications do not change the sequence, they can negatively impact the function. Therefore, it is critical to be able to both read the genetic code and identify these modifications. Currently, the detection of hydroxymethylated cytosine (5'hmC) and the two closely related variants, cytosine (C) and 5'methylcytosine (5'mC), relies on a combination of nucleotide modification steps, followed by PCR and gene sequencing. However, this approach is not ideal because transcription errors which are inherent to the PCR process can be misinterpreted as fluctuations in the relative C:5'mC:5'hmC concentrations. As such, an alternative method which does not rely on PCR or nucleotide modification is desirable. One approach is based on label-free optical resonant cavity sensors. In the present work, toroidal resonant cavity sensors are functionalized with antibodies to enable label-free detection and discrimination between C, 5'mC, and 5'hmC in real-time without PCR. Specifically, epoxide chemistry is used to covalently attach the 5'hmC antibody to the surface of the cavity. Subsequently, to thoroughly characterize the sensor platform, detection of C, 5'mC, and 5'hmC is performed over a concentration range from pM to nM. At low (pM) concentrations, the hydroxymethylated cytosine produces a significantly larger signal than the structurally similar epigenetic markers; thus demonstrating the applicability of this platform.

SUBMITTER: Hawk RM

PROVIDER: S-EPMC4408228 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Label free detection of 5'hydroxymethylcytosine within CpG islands using optical sensors.

Hawk Rasheeda M RM Armani Andrea M AM

Biosensors & bioelectronics 20141023

Significant research has been invested in correlating genetic variations with different disease probabilities. Recently, it has become apparent that other DNA modifications, such as the addition of a methyl or hydroxymethyl group to cytosine, can also play a role. While these modifications do not change the sequence, they can negatively impact the function. Therefore, it is critical to be able to both read the genetic code and identify these modifications. Currently, the detection of hydroxymeth ...[more]

PMID: 25461158

Similar Datasets

Project description:IntroductionTo improve the quality of brain tumor resections, it is important to differentiate zones with myelinated fibers destruction from tumor tissue and normal white matter. Optical coherence tomography (OCT) is a promising tool for brain tissue visualization and in the present study, we demonstrate the ability of cross-polarization (CP) OCT to detect damaged white matter and differentiate it from normal and tumor tissues.Materials and methodsThe study was performed on 215 samples of brain tissue obtained from 57 patients with brain tumors. The analysis of the obtained OCT data included three stages: 1) visual analysis of structural OCT images; 2) quantitative assessment based on attenuation coefficients estimation in co- and cross-polarizations; 3) building of color-coded maps with subsequent visual analysis. The defining characteristics of structural CP OCT images and color-coded maps were determined for each studied tissue type, and then two classification tests were passed by 8 blinded respondents after a training.ResultsVisual assessment of structural CP OCT images allows detecting white matter areas with damaged myelinated fibers and differentiate them from normal white matter and tumor tissue. Attenuation coefficients also allow distinguishing all studied brain tissue types, while it was found that damage to myelinated fibers leads to a statistically significant decrease in the values of attenuation coefficients compared to normal white matter. Nevertheless, the use of color-coded optical maps looks more promising as it combines the objectivity of optical coefficient and clarity of the visual assessment, which leads to the increase of the diagnostic accuracy of the method compared to visual analysis of structural OCT images.ConclusionsAlteration of myelinated fibers causes changes in the scattering properties of the white matter, which gets reflected in the nature of the received CP OCT signal. Visual assessment of structural CP OCT images and color-coded maps allows differentiating studied tissue types from each other, while usage of color-coded maps demonstrates higher diagnostic accuracy values in comparison with structural images (F-score = 0.85-0.86 and 0.81, respectively). Thus, the results of the study confirm the potential of using OCT as a neuronavigation tool during resections of brain tumors.

Dataset Information

Label free detection of 5'hydroxymethylcytosine within CpG islands using optical sensors.

Publications

Label free detection of 5'hydroxymethylcytosine within CpG islands using optical sensors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets