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Antibiotic Resistance Genes (ARGs) Analysis Solution
DNA Microarray-based ARGs Analysis

DNA Microarray-based ARGs Analysis

Overview

Antibiotic resistance has been discovered since the advent of antibiotics and has become more serious with the widespread use of antibiotics. Antibiotic resistance of microorganisms is a serious problem affecting human and animal health. Although, there are currently many regulations to limit the application of antibiotics in an attempt to control the resistance of microorganisms to antimicrobial drugs. However, these measures have had little effect. In order to quickly analyze the antibiotic resistance genes of common microorganisms, CD Genomics provides comprehensive antibiotic resistance gene (ARGs) detection solutions, including high-density gene detection technology based on DNA microarray (also called gene chip). Our DNA microarray antibiotic resistance gene detection service aims to provide customers with antibiotic resistance gene analysis for Staphylococcus aureus, coliform bacteria, Listeria, and other pathogenic bacteria.

Our Advantages of DNA Microarray:

We offer a complete DNA microarray platform from sample processing to obtaining results.
DNA microarray technology is highly sensitive, specific, rapid, and high throughput.
The assay service is capable of detecting a large number of antibiotic resistance genes in a single test.
DNA microarrays can detect multiple genetic information in parallel, greatly increasing the efficiency of the assay.

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Introduction to DNA Microarray-based Microbial ARGs Analysis Platform

DNA Microarray-based ARGs Analysis

At present, the detection of clinical microbial antibiotic resistance genes is based on phenotypic detection. Therefore, some silently expressed resistance genes may be overlooked. DNA microarray technology can prevent this from happening. Our DNA microarray platform is very cost-effective and designed for the identification of antibiotic resistance genes. And the limitation of non-specific cross-hybridization has been overcome, resulting in increased specificity. The platform can qualitatively or quantitatively measure the antibiotic resistance genes present in microorganisms through probes composed of several kb (cDNA chip) or dozens of (oligonucleotides) specific types of nucleotides. CD Genomics' DNA microarray platform is designed to detect genes resistant to all antibiotics such as β-lactams, chloramphenicol, bacitracin, aminoglycosides, macrolides, and sulfonamides.

DNA Microarray-based Microbial Antibiotic Resistance Genes Analysis Workflow

DNA Microarray-based Microbial Antibiotic Resistance Genes Analysis - CD Genomics.

What We Offer

CD Genomics, as a professional supplier of microbial antibiotic resistance gene detection, can provide you with a complete DNA microarray solution for the simultaneous analysis of hundreds of antibiotic resistance genes. We have only shown some antibiotic resistance targets in the table below. If you want to know more, please contact us directly.

Gene	Classification	Mechanism
GES, KPC, IMP-1, NDM-1(C), blaOXA-48, etc	Carbapenems	-
vanA, vanB, vanC, vanG, vanHB, vanHD, vanRA, vanRB, vanRC, vanRD, vanSA, vanSB, vanSC, vanTC, vanTE, vanTG, vanWB, vanWG, vanXA, vanXB, vanXD, vanYB, vanYD, etc	Vancomycin	protection
acrA, adeA, acrF, ceoA, cmeA, cmr, marR, mdetl1, mdtE/yhiU, mepA, mexA, mexD, mexE, mexF, mtrC, mtrD, oprD, oprJ, pmrA, qac, qacA, qacA/qacB, qacH, rarD, sdeB, tolC, ttgB, yceE/mdtG, yceL/mdtH, yidY/mdtL, ttgA, emrD, etc	Multidrug	efflux
catA1, catB3, cfr, etc	(flor)/(chlor)/(am)phenicol	deactivate
cmlA1, cmx(A), floR, etc		efflux
qnr, etc		-
aac, aacA/aphD, aacC, aacC1, aacC2, aacC4, aadA, aadD, aadE, aph, aph6ia, aphA1(akakanR), spcN-01, spcN-02, str, strA, strB, etc	Aminoglycosides	deactivate
tetA, tetB, tetC, tetD, tetE, tetG, tetH, tetJ, tetK, tetL, tetPA, tet, tetV, etc	Tetracyclines	efflux
ampC/blaDHA, ampC, bla1, blaCMY, blaCTX, blaGES, bla-L1, blaMOX/blaCMY, blaOCH, blaOKP, blaOXA1/blaOXA30, blaOXY, blaPAO, blaPER, blaPSE, blaROB, blaSFO, blaSHV-01, blaTEM, blaTLA, blaVEB, blaVIM, blaZ, cepA, cfiA, cfxA, cphA, fox5, NDM1, ampC, etc	Beta_Lactamas	deactivate
mecA, pbp, pbp2x, Pbp5, penA, etc	Beta_Lactamas	protection
ereB, lnuA, lnuB, lnuC, mphA, mphB, mphC, vatB, vatC, vatE, vgb, vgbB, etc	MLSB	deactivate
carB, ImrA, matA/mel, mdtA, mefA, msrC, oleC, vgaA, vgbB, msrA, etc		efflux
erm, ermA, ermA/ermTR, ermB, ermC, ermF, ermJ/ermD, ermK, ermT, ermX, ermY, etc		protection

Bioinformatics Analysis

Depending on your needs, we will develop a tailor-made bioinformatics analysis solution for you.

ANALYSIS CONTENTS	DETAILS
Cluster analysis	K-means clustering analysis, hierarchical cluster analysis.
Differential analysis of antibiotic resistance genes	Determination of differential gene expression by ANOVA and ploidy variation, mapping of volcanoes, the heat map of gene expression.
Antibiotic resistance gene expression profiling	Analysis of antibiotic resistance in microorganisms through data.

Sample Requirements

SAMPLE TYPE	SAMPLE DETAILS
DNA	to ensure the purity of the DNA, requiring an A260/A280 of between 1.6 and 1.8
total RNA	high requirements for integrity and purity
mRNA	high requirements for integrity and purity
cDNA	requires amplification by linearity

Reference

Frye JG, Lindsey RL, Rondeau G, et al. Development of a DNA microarray to detect antimicrobial resistance genes identified in the National Center for Biotechnology Information database. Microb Drug Resist. 2010 Mar; 16(1): 9-19.