Multiomics analysis reveals novel biomarkers in the mouse model of pulmonary tuberculosis-proteomic
Title | Multiomics analysis reveals novel biomarkers in the mouse model of pulmonary tuberculosis-proteomic |
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Description | Sequencing of transcriptome,proteome,metabolome were performed on TB mouse model.DEGs, DEPs,DEMs were identified between TB and control mouse.Candidate mRNA and proteins involved were obtained by overlapping DEGs with DEPs.Key metabolites were identified by calculating the correlations between candidate proteins and DEMs.Key lncRNA were identified by calculating correlations between candidate mRNA and lnc_DEGs.Key metabolites,key lncRNA,key mRNA were used to construct the random forest model. |
Organism | Mus musculus |
Data Type | Proteomic Data by Mass Spectrometry (MS) |
Data Accessibility | Open-access |
BioProject | PRJCA018944 |
Release Date | 2024-01-10 |
Submitter | Hongtai Zhang (hongtaizhang@aliyun.com) |
Organization | Institute of Biophysics, Chinese Academy of Sciences |
Submission Date | 2023-09-14 |
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File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
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OMIX004927-01 | Quantitative proteomics of the lung tissue from mice infected with Mycobacterium tuberculosis | 9 | Proteomic Data by Mass Spectrometry (MS) | 16.7 MB | xlsx | 0 |