How to control the quality of omics research—— Mosein

Omics research usually has a large number of samples , The sample collection cycle is long , There are great individual differences , The sample processing flow is long 、 complicated , There are many kinds of consumables , The detection equipment is unstable . therefore , Quality control is an important basis for omics research .

Here, according to the general process of omics research, the quality control methods in the process of omics research are briefly summarized as follows ：

1. Sample collection plan ： Sample grouping should be specified in the study plan , Number of samples per group , The acceptance criteria of the sample donor , Collection method of each sample 、 Volume / weight , Site pretreatment requirements , Storage conditions , Sample information collection standards, etc , Avoid erroneous acquisition 、 Mixed dishes 、 Cross mismatch, etc .
2. Consumables 、 Store 、 Preparation of transportation conditions : Centrifugal tube / Centrifuge 、 On site pretreatment reagents 、 Pipette gun 、 Sealing film 、 Sample labels 、 Dry ice 、 Insulation thick foam box 、-20℃/-80℃ Refrigerators, etc. shall be prepared in place according to standards , It's better to be a well-known brand , And it has been verified by pre-test , Ensure that no contaminants are introduced ; Looking for qualified cold chain transportation service providers to provide sample transportation services , Ensure that the sample does not deteriorate .
3. Sample collection personnel requirements ： Systematic training is required , Be familiar with sample collection 、 On site pretreatment process , Operation specification 、 skilled , Work with certificate .
4. Sample grouping principle ： Through screening key physical and chemical indicators 、 Classification of disease diagnosis / classification , Try to select samples with similar indicators to belong to the same group ; If the same sample donor is collected at the same time 2 More than samples （ Such as blood 、 urine ）, this 2 It is better to pair the samples into the same sample set , Such as discovery set ; So as to reduce the same group as much as possible 、 Individual differences between samples in the same set .
5. Sample handler requirements ： Systematic training is required , Be familiar with the sample pretreatment process , Operation specification 、 skilled , Work with certificate .
6. Sample quality control ： Ensure that the sample is thawed once according to the procedures 、 Quick sampling , Avoid repeated freezing and thawing ; Through appearance 、 Physical and chemical indexes 、 Spectral detection 、SDS-PAGE Gel analysis, etc , Eliminate hemolysis 、 Degradation and other unqualified samples ; The same group of samples were randomly selected 20%, Mix after equal amount of collection , The treatment method is consistent with the actual sample , Prepare quality control samples （QC）.
7. Sample handling ： Different types of samples , Such as blood / urine / Organization, etc , Depending on the nature of the target molecule 、 content 、 Interference with impurities, etc , Design 、 grope 、 Optimize the best pretreatment method , To remove impurities as much as possible 、 Keep the target molecule , Or change the properties of the target molecule , Adapt to the detection method , Or improve the detection sensitivity of target molecules ; In view of the complexity of the experiment 、 More steps , Need to be efficient 、 skilled 、 Process samples in an orderly manner , For example, it is necessary to avoid going up / Lower phase cross contamination 、 Avoid bubbles , Avoid introducing accidental errors or contaminants .
8. Selection of GC-MS instrument 、 debugging 、 calibration ： According to the purpose of the study, select the appropriate GC-MS ; Strictly follow the operating procedures of GC-MS （SOP） Set equipment parameters 、 Commissioning and calibration , Ensure that the equipment operates accurately 、 Stable .
9. Establishment and optimization of sample detection methods ： Reference to existing literature and experimental accumulation , Establish sample analysis and detection methods , Including chromatographic types 、 Liquidity options , Chromatographic gradient 、 Current Speed 、 Mass spectrometry detection parameter setting, etc , And according to the detection sensitivity of the target molecule 、 accuracy 、 Reproducibility 、 To optimize and verify the separation with impurities , Determine the best sample analysis and detection method .
10. Data collection ： Insert the blank evenly 、 Standard reference 、QC sample , In general 6-8 Insert one blank control at a time 、 Standard reference and / or QC sample , To avoid residual effects 、 Help calibration of chromatographic peaks ; The samples collected in different batches and the control samples are collected alternately according to the analysis sequence , To avoid batch effects ; Add internal standard to each sample , To help peak calibration and instrument stability monitoring ; Repeat the test three times for each sample , Take the mean value to avoid accidental error .
11. Data quality assessment : Using sample correlation analysis 、 error analysis 、 Clustering analysis 、 The principal components （PCA） analysis 、 Coefficient of variation （CV） Analysis, etc , Evaluate the quality of data collection , If the data is unqualified , Need to collect again 、 assessment .

In the process of omics research , If the process quality control is carried out in strict accordance with the above methods , High quality omics test data can be basically obtained , For subsequent data processing 、 Difference analysis 、 Identification of characteristic molecules 、 The construction and optimization of classification model lay a good foundation . Mosian technology mosian technology focuses on molecular intelligent identification and detection technology , Develop core algorithms with independent intellectual property rights , Provide professional omics and mass spectrometry data processing 、 Mining Services , Meet biomedical 、 Personalized molecular intelligent identification needs of mass spectrometry users in food and other industries . In the process of omics research , Strive to optimize the quality control methods in the process of omics research , In order to present the best omics research results for customers ！