Author: Jing Xing; Rama Shankar; Aleksandra Drelich; Shreya Paithankar; Eugene Chekalin; Thomas Dexheimer; Surender Rajasekaran; Chien-Te Kent Tseng; Bin Chen
Title: Reversal of Infected Host Gene Expression Identifies Repurposed Drug Candidates for COVID-19 Document date: 2020_4_9
ID: dl6rbqxp_6
Snippet: We and others [10] [11] [12] [13] [14] [15] [16] have utilized a systems-based approach that employs gene expression profiles of disease samples and drug-induced gene expression profiles from cell lines to discover new therapeutic candidates for diseases. The essential idea is to identify drugs that reverse the disease gene expression signature by suppressing the over-expressed disease genes and activating the repressed genes ( Figure 1A) . A dis.....
Document: We and others [10] [11] [12] [13] [14] [15] [16] have utilized a systems-based approach that employs gene expression profiles of disease samples and drug-induced gene expression profiles from cell lines to discover new therapeutic candidates for diseases. The essential idea is to identify drugs that reverse the disease gene expression signature by suppressing the over-expressed disease genes and activating the repressed genes ( Figure 1A) . A disease signature is defined as a list of differentially expressed genes between disease samples and normal control samples. We recently found that the reversal of gene expression (namely sRGES) correlates to drug efficacy in cancers 17 , demonstrating the feasibility of applying this approach to predict drug candidates for other diseases, including viral infection.
Search related documents:
Co phrase search for related documents- approach apply and gene expression: 1, 2, 3, 4, 5, 6
- approach apply and viral infection: 1, 2, 3
- cell line and control sample: 1, 2, 3
- cell line and disease gene: 1, 2, 3, 4
- cell line and disease gene expression: 1, 2
- cell line and disease sample: 1
- cell line and disease signature: 1
- cell line and drug candidate: 1, 2, 3, 4, 5, 6, 7
- cell line and drug efficacy: 1, 2, 3
- cell line and drug induce: 1
- cell line and gene expression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76
- cell line and gene expression profile: 1, 2
- cell line and therapeutic candidate: 1, 2, 3, 4
- cell line and viral infection: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74
- cell line gene expression profile and gene expression: 1
- cell line gene expression profile and gene expression profile: 1
- control sample and disease sample: 1, 2, 3, 4, 5, 6, 7, 8
- control sample and drug candidate: 1
- control sample and gene expression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
Co phrase search for related documents, hyperlinks ordered by date