Dataset Information

Application of two-dimensional gel electrophoresis technique for protein profiling of Indian black gram varieties and detection of adulteration in black gram-based food products using comparative proteomics.

ABSTRACT: In the present study, protein fingerprints from six novel Indian black gram varieties were obtained using 2D-GE. The results revealed the presence of thirteen well-resolved protein spots in all six varieties. Analysis of the fingerprints using PD Quest™ revealed differential protein expression. In addition, six proteins were found to be uniquely expressed in varieties PDKV Black Gold and TAU-1. Further, analysis of 2D patterns of black gram and potential adulterants such as refined wheat flour and white pea using PD Quest™ revealed the presence of proteins with MW 15.0?kDa, pI 4.89 (refined flour) and MW 21.5?kDa, pI 5.70 (white pea), which can be considered as biomarkers for their presence in black gram food products. The method was sensitive enough to detect adulteration at 5% level and could successfully detect the potential presence of refined flour in one of the black gram papad samples analysed during the study.

SUBMITTER: Amane D

PROVIDER: S-EPMC6732727 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Application of two-dimensional gel electrophoresis technique for protein profiling of Indian black gram varieties and detection of adulteration in black gram-based food products using comparative proteomics.

Amane Dhanashree D Ananthanarayan Laxmi L

Food chemistry: X 20190822

In the present study, protein fingerprints from six novel Indian black gram varieties were obtained using 2D-GE. The results revealed the presence of thirteen well-resolved protein spots in all six varieties. Analysis of the fingerprints using PD Quest™ revealed differential protein expression. In addition, six proteins were found to be uniquely expressed in varieties PDKV Black Gold and TAU-1. Further, analysis of 2D patterns of black gram and potential adulterants such as refined wheat flour a ...[more]

PMID: 31517297

Similar Datasets

Project description:BackgroundDNA gel electrophoresis is a molecular biology technique for separating different sizes of DNA fragments. Applications of DNA gel electrophoresis include DNA fingerprinting (genetic diagnosis), size estimation of DNA, and DNA separation for Southern blotting. Accurate interpretation of DNA banding patterns from electrophoretic images can be laborious and error prone when a large number of bands are interrogated manually. Although many bio-imaging techniques have been proposed, none of them can fully automate the typing of DNA owing to the complexities of migration patterns typically obtained.ResultsWe developed an image-processing tool that automatically calls genotypes from DNA gel electrophoresis images. The image processing workflow comprises three main steps: 1) lane segmentation, 2) extraction of DNA bands and 3) band genotyping classification. The tool was originally intended to facilitate large-scale genotyping analysis of sugarcane cultivars. We tested the proposed tool on 10 gel images (433 cultivars) obtained from polyacrylamide gel electrophoresis (PAGE) of PCR amplicons for detecting intron length polymorphisms (ILP) on one locus of the sugarcanes. These gel images demonstrated many challenges in automated lane/band segmentation in image processing including lane distortion, band deformity, high degree of noise in the background, and bands that are very close together (doublets). Using the proposed bio-imaging workflow, lanes and DNA bands contained within are properly segmented, even for adjacent bands with aberrant migration that cannot be separated by conventional techniques. The software, called GELect, automatically performs genotype calling on each lane by comparing with an all-banding reference, which was created by clustering the existing bands into the non-redundant set of reference bands. The automated genotype calling results were verified by independent manual typing by molecular biologists.ConclusionsThis work presents an automated genotyping tool from DNA gel electrophoresis images, called GELect, which was written in Java and made available through the imageJ framework. With a novel automated image processing workflow, the tool can accurately segment lanes from a gel matrix, intelligently extract distorted and even doublet bands that are difficult to identify by existing image processing tools. Consequently, genotyping from DNA gel electrophoresis can be performed automatically allowing users to efficiently conduct large scale DNA fingerprinting via DNA gel electrophoresis. The software is freely available from http://www.biotec.or.th/gi/tools/gelect.

Dataset Information

Application of two-dimensional gel electrophoresis technique for protein profiling of Indian black gram varieties and detection of adulteration in black gram-based food products using comparative proteomics.

Publications

Application of two-dimensional gel electrophoresis technique for protein profiling of Indian black gram varieties and detection of adulteration in black gram-based food products using comparative proteomics.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets