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Respiratory and Lung Microbiome Research Solution

Respiratory and Lung Microbiome Research Solution

Many microorganisms, including bacteria, viruses and fungi, coexist in the lungs of humans or animals and constitute the respiratory microbiota. It is generally accepted in the scientific community that the lung or respiratory microbiota is less biologically abundant, scarcer, and associated with mucosal surfaces than the relatively stable intestinal community. In this dystrophic microbial environment, high-throughput sequencing technologies can not only capture signals with exceptionally low DNA/RNA densities and characterize a variety of novel in samples but can also simultaneously study pathogen and host responses through molecular approaches such as microbial metagenomics and transcriptomics.

CD Genomics is dedicated to breaking down the limitations of lung microbiome research by NGS and long-read sequencing platforms, processing or speed to help you generate and comprehend high-dimensional data.

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Accelerate Research and Practice in Respiratory and Lung Microbiome

We can provide solutions for respiratory and lung microbiology research and bioinformatics analysis in combination with powerful sequencing technologies, based on next-generation sequencing (NGS), PacBio SMRT sequencing and nanopore sequencing platforms. In addition, we perform qualitative and quantitative studies of the microbiome using real-time qPCR.

16S rRNA gene amplicon sequencing is widely used in lung microbiome studies due to its high ease of use and robustness, detecting genus.
Long-read sequencing technology further reveals microbial diversity and heterogeneity by sequencing the full-length 16S/18S/ITS rRNA gene and characterizing the species of the pulmonary microbiome down to the species or even strain level.
The pulmonary fungal flora can be obtained by sequencing the 18S rRNA gene or the internal transcribed spacer (ITS) region.
Multi-omics analysis services are available, such as simultaneous evaluation of pathogens, airway microbiome and host transcriptome.

The Main Research Direction of Respiratory Microbiome

Reveals a wealth of information about community composition and dynamics, including bacteria, viruses, and eukaryotes
Microbial characterization at the deepest taxonomic level as well as functional potential analysis
In-depth analysis of interactions between respiratory bacteria, viruses, and fungi
Reveal the spatial dynamics of the pulmonary microbiome, the mechanisms of pulmonary microbiome-host interactions, and interactions between the lung and distal organs
Explore the potential of the lung microbiome as a biomarker in the diagnosis of respiratory diseases
Understanding the role of microbiomics in the pathogenesis of VAP and ARDS

What can we do?

1. Characterization of the respiratory microbiome

2. Quantitation of the respiratory microbiome

3. Revealing a wealth of information about community composition and dynamics

Note: Our services are for research use only, not for disease diagnosis and treatment.

Respiratory and Lung Microbiome Research Solution

Detectable Objects

Sputum, alveolar lavage fluid, bronchial brushings and lung tissue, and other lung microbiome sample types

Detectable Microorganisms

Bacteria, fungi, viruses, etc.

Technology Platform

We are equipped with Illumina Hiseq/Miseq, PacBio SMRT systems, Nanopore systems, PCR-DGGE (PCR-denaturing gradient gel electrophoresis), real-time qPCR, and other detection platforms.

Sample Requirement

Be sure that the DNA is intact and non-degradative, avoiding repeated freezing and thawing cycles.

Please use enough dry ice or ice packs during shipment.

Please contact us for more details about the sample preparation for respiratory and lung microbiome sequencing.

Workflow

Figure 1. High-throughput sequencing analysis process

Bioinformatics Analysis

BASIC ANALYSIS	ROUTINE ANALYSIS (ACCORDING TO CUSTOMER REQUIREMENTS)	ADVANCED DATA ANALYSIS
Sequence Filtering and Trimming	Heatmap	Phylogenetic Tree
Sequence Length Distribution	VENN	LDA-Effect Size (LEfSe)
OTU Clustering and Species Annotation	Principal Components Analysis (PCA)	Network Analysis
Diversity Index	Microbial Community Structure Analysis	Correlation Analysis
Shannon-Wiener Curve	α Diversity Index Analysis
Rank-Abundance Curve	Matastats Analysis
Rarefraction Curve	Weighted Unifrac test
Multiple Contrast	CCA/RDA Analysis
Heatmap
Principal Components Analysis (PCA)