A method and system for discovering molecular markers based on the temporal dynamic changes of transcriptome and gene function correlation

Abstract

The invention discloses a method and system for discovering molecular markers based on transcriptome temporal dynamic changes and gene function correlation. Through multi-chronological sampling of samples and high-throughput transcriptome sequencing technology, target pathophysiological processes and control pathophysiological processes can be obtained. The dynamic time-series transcriptome changes of the process; through gene function association analysis, the correlation strength between the differential co-expression set and the gene set of the target pathophysiological process is evaluated, so as to discover robust and reliable markers with pathophysiological significance in the omics data. The present invention makes full use of the time-series correlation and the internal correlation of omics indicators. The process of marker discovery is mutually supported and verified by different types of information, and the robustness is high. Therefore, the requirements for data measurement accuracy and method parameter optimization are relatively low, and there is no It can also be used effectively by personnel with rich experience in experiments and analysis.

Description

technical field [0001] The present invention relates to the field of using omics technology to find biomarkers, including but not limited to the development of diagnostic reagents, specifically, a method and system for discovering molecular markers based on transcriptome temporal dynamic changes and gene function correlation. Background technique [0002] An important part of basic medical research is to use molecular means to characterize the mechanism of pathophysiology and find the key genes. Key genes can be biomarkers, used for disease early warning, diagnosis, and prognosis; they can also be targets, used for disease treatment. [0003] Markers are only correlated with the disease state, while targets require intervention on the basis of correlation to change the pathophysiological process of the disease. Therefore, in a certain sense, targets are a subset of markers, which may be obtained from markers by further screening genes that are causally related to pathophysi...

AI Technical Summary

Problems solved by technology

And if there are hints in the literature, and researchers do it again, the innovation of the markers discovered may be insufficient, lacking scientific value and economic value

On the other hand, if there is not enough preliminary literature support, the risk of verification is high, and the cost of finally obtaining the mark is high, making it difficult to obtain project approval or investment

Second, the work of characterizing a group of candidate key genes in a large number of samples requires a large amount of experiments and a long cycle. Different experimenters and different batches may introduce high measurement errors, resulting in inaccurate evaluation

Third, the relationship between the candidate key genes suggested on the basis of existing knowledge and the pathological process may not be close enough, resulting in defects in the sensitivity and specificity of the markers discovered, often requiring the combined use of multiple markers, and interpretation Complex, with limited clinical translational value

These relatively small but actually more important upstream genes, the changes of which are difficult to pass the significance test of multiple statistical correction

Images