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The Importance of Detecting Urine Microbiome

Urine Microbiome Research

Compared to many other microbial niches, the human urinary tract harbors relatively low biomass. Studies have identified many genera and species that may constitute a core urinary microbiome, which mainly varies between male and female, the young and the old, patients and the healthy. Typically, the biomass of the human urine microbiome ranges from 100 to 105 colony-forming units per milliliter of urine. Recent studies have shown that bacteria belonging to the Corynebacterium group are more likely to be found in men; while women are more likely to have bacteria of the genus Lactobacillus that are also found in the human gut. Therefore, understanding the characteristics of urinary microbiome and ecology is critical for diagnostic, prognostic, and therapeutic research, and help to measure, restore, and/or preserve the native, healthy ecology of the urinary microbiomes.

The ability to measure and characterize the urinary microbiome has been enabled through the development of next-generation sequencing and bioinformatic platforms that allow for the unbiased detection of resident microbial DNA.

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Accelerate Research and Practice in Urine Microbiome

Based on our next-generation sequencing (NGS), PacBio SMRT sequencing, and Nanopore sequencing platforms, we have tested and analyzed various urinary microbiome samples. We can help you identify the microorganisms presented in the urinary tract, their relative abundance, and evolutionary relationships. We also study the correlation between urinary microbes and human health, the function of urinary microorganisms from gene level can also be studied, all of which are of great importance for scientific research, the development of supplements and therapies.

The Main Research Direction of Urine Microbiome

Exploring the differences in microbial composition and content between the disease group and the healthy group to search for disease-related markers

Studying and comparing the differences of urinary flora structure between individuals at different intervention stages

Studying changes in urinary flora of same individual at different developmental stages

Studying the changes in urinary flora during the development of a certain disease, so as to search for biomarkers

What Can We Do?

  1. 1. Identification and discovery of urinary microorganisms
  2. 2. Quantitation of microorganisms in the urinary tract
  3. 3. Evolutionary and functional analysis of microorganisms in the urinary tract
  4. 4. Relationship between microorganisms and diseases

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

Detectable Objects

We have successfully analyzed reproductive urine microbiome samples from human and other animals.

Detectable Microorganisms

Fungi, bacteria, and viruses, etc.

Technical Platforms

We are equipped with Illumina HiSeq/MiSeq, Ion PGM, PacBio SMRT systems, Nanopore systems, PCR-DGGE (PCR-denaturing gradient gel electrophoresis), real-time qPCR, clone library, and other detection platforms.

Sample Requirement

    1. DNA sample: DNA ≥ 500ng, concentration ≥ 10ng/ul, and OD260/280 = 1.8-2.0.
    2. Ensure the DNA is not degraded or slightly degraded and avoid repeated freezing and thawing cycles.
    3. Please use enough ice packs or dry ice during transportation.

Workflow

Figure 1. High-throughput sequencing analysis process

Figure 2. PCR-DGGE analysis process

Bioinformatics Analysis

Our bioinformatics analyses are flexible to your needs.

OTU Clustering Distribution-Based OTU-Calling
Rarefaction Curve
Shannon-Wiener Curve
Phylogenetic Tree
Rank Abundance Curve
Relative Abundance Heatmap
VENN
Principal Components Analysis (PCA)
Hierarchical Clustering
Community Structure RDA/CCA Analysis
Multiple Contrast
Network Analysis
Functional analysis BLASTX, KEGG, eggNOG, CAZy, CARD, ARDB etc.
PICRUSt
TAX4Fun
Custom Analysis Custom Analysis
* For Research Use Only. Not for use in diagnostic procedures or other clinical purposes.



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