Application of long chain non-coding RNA as marker to Alzheimer's disease detection
An Alzheimer's disease, long-chain non-coding technology, which is applied in the detection/testing of microorganisms, medical preparations containing active ingredients, drug combinations, etc., and can solve problems such as weakening inhibitory effects
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[0028] 1. Analysis and screening of differentially expressed gene data in patients with Alzheimer's disease
[0029] The data collected from the NCBI-GEO database with the registration number GSE5281 (which contains the data of the corresponding gene expression of AD patients) was analyzed using the NCBI-GEO-Analyze with GEO2R tool, and some of the analysis results are shown in Table 1 . The sequence of probe 227062_AT in Table 1 is shown in SEQ ID NO:3, and the sequence of probe 225239_AT is shown in SEQ ID NO:4.
[0030] From the analysis results, we found that there are a large number of differentially expressed genes in AD patients, among which ITPKB, NEAT1, SLC35E and other genes are up-regulated, and ATP5C1, TUBB, PSMB3 and other genes are down-regulated.
[0031] Table 1. GEO2R analysis results of some genes
[0032] ranking
probe
adjusted p-value
fold change log value
gene name
1
225239_at
9.1E-27
3.72
NEAT1
2
22...
PUM
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