A large part of bacterial, archaeal, viral, and fungal microbial taxa consists of the human microbiome. While many of these microorganisms are commensal, some are harmful to humans and many are symbiotic. Our livelihoods are strongly intertwined with the microbes we allocate our bodies with, despite whether their appearance is advantageous, insignificant, or harmful. Over the past few years, human microbiome research has grown quickly.
Blood has always been considered free of microorganisms. But recent DNA sequencing methods have shown that 1 mL of blood contains about 1,000 bacterial cells. These bacteria are usually dormant. The profiling and characteristics of the blood microbiome by methods such as next-generation sequencing and long-read sequencing can facilitate the research on many diseases including bacterial infections and even cancer.Request a Quote
Based on our next-generation sequencing (NGS), PacBio SMRT sequencing, and Nanopore sequencing platforms, we have tested and analyzed various blood microbiome samples. We can help you identify the microorganisms presented in the blood vessel, their relative abundance, and evolutionary relationships. We also study the correlation between blood microbes and human health, the function of blood microorganisms from gene level can also be studied, all of which are of great importance for scientific research, the development of supplements and therapies.
Note: Our services are for research use only, not for disease diagnosis and treatment.
We have successfully analyzed reproductive blood microbiome samples from human and other animals.
Fungi, bacteria, and viruses, etc.
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.
DNA sample: DNA ≥ 500ng, concentration ≥ 10ng/ul, and OD260/280 = 1.8-2.0.
Ensure the DNA is not degraded or slightly degraded and avoid repeated freezing and thawing cycles.
Please use enough ice packs or dry ice during transportation.
Figure 1. High-throughput sequencing analysis process
Figure 2. PCR-DGGE analysis process
|OTU Clustering||Distribution-Based OTU-Calling|
|Rank Abundance Curve|
|Principal Components Analysis (PCA)|
|Community Structure||RDA/CCA Analysis|
|Functional analysis||BLASTX, KEGG, eggNOG, CAZy, CARD, ARDB etc.|
|Custom Analysis||Custom Analysis|