Serum Biomarker Discovery

Serum biomarker discovery is very important for early and accurate serological diagnosis of disease. It is very valuable for using proteome chip to systematically screen for a particular disease biomarker. We are a professional team, providing the overall scheme design, chip selection and data analysis, detailed data report for the discovery of serum biomarker research.

Based on protein chip screening serum biomarkers, the first step is to obtain biomarker candidates, which can be divided into three parts:

1. Sample Selection

The selection and quality of samples is extremely important. Considering the complexity of the disease and the individual difference, it is necessary to accurately record all parameters of each sample in order to obtain accurate and reliable conclusions.

Sample selection requirements:

a. There is a clear clinical diagnosis;

b. Collecting serum when the treatment is not carried out (except special research).

The sample information form (according to the different disease, it may need more additional parameters):

sample ID		Source and number
Age		gender
Clinical diagnosis		Other note

Note: healthy people selected at random but the age and gender distribution should be consistent with the patient group.

Sampling procedures and requirements:

A. Need coagulant in blood vessels, the blood volume is 6-10 mL, collecting serum volume is 3-5 mL;

B. It should be noted that blood should be centrifuged when preparation, at 3000 rpm, 4℃, 5 minutes;

C. Using standard cryopreserved tubes to save all the serum samples, 1 mL/pipe, each patients kept 3-5 tubes serum; All specimens should be storied in - 20℃, but not more than 7 days, - 86 ℃ for a long-term preservation.

2. Microarray Screening

Performed strictly according to our SOPs, as follows:

A. Microarray blocking – using BSA based blocking buffer for microarray blocking.

B. Serum sample incubation - serum was diluted in accordance with a certain proportion, then added to the chip surface in the presence of a blocking buffer.

C. Wash - remove non-binding antibodys;

D. Fluorescence detection- using fluorescence labelled anti-Human- IgG, IgM or IgD to detect the specific bind antibody, and then scanning.

3. Data Analysis

Data analysis will be completed by our expert team. The method is desciped briefly as follows:

A. Use Gal file to extract all the fluorescence signal data in protein chip corresponding the serum samples;

B. Normalize between all the arrays using background based on algorithm.

C. Statistically analyse to find out the biomarker candidates and present P value and heat map.

MtbProt^TM proteome microarray and MtbProt^TM secretory protein microarray can be used to discover biomarkers of tuberculosis or TB infection related disease, such as active tuberculosis, extrapulmonary tuberculosis and tuberculosis combined with HIV infection, etc.

HuProt ^TM proteome microarray can be used to dicover disease biomarkers, such as tumor and autoimmune disease.