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| Status |
Public on Nov 03, 2020 |
| Title |
IDENTIFYING KEY DRIVER GENES OF INNATE IMMUNE PATHWAYS AS NOVEL THERAPEUTIC TARGETS IN RENAL ALLOGRAFT REJECTION |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
|
| Summary |
Acute rejection (AR) in renal transplantation is an established risk factor for reduced allograft survival, and still occurs in 10-20% of allograft recipients despite standard of care immunosuppression. This suggests molecular pathways exist which are inadequately suppressed by current therapy. We describe for the first time, integrative network- based computational strategies incorporating genotyping data to identify key driver genes (KDGs) amongst networks of perturbed transcripts in AR, which may serve as therapeutic targets.
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| Overall design |
A microarray set (N=52) was used for discovery of meta-gene sigantures associated with acute rejection.
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| Contributor(s) |
Yi Z, Keung K, Zhang W, Murphy B |
| Citation(s) |
32634125 |
| Submission date |
Sep 26, 2019 |
| Last update date |
Nov 05, 2020 |
| Contact name |
Weijia Zhang |
| E-mail(s) |
weijia.zhang@mssm.edu
|
| Organization name |
Icahn School of Medicine at Mount Sinai
|
| Department |
Renal
|
| Lab |
Bioinfomatics
|
| Street address |
1 Gustave L. Levy Pl
|
| City |
New York |
| State/province |
NY |
| ZIP/Postal code |
10029 |
| Country |
USA |
| |
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| Platforms (1) |
| GPL5175 |
[HuEx-1_0-st] Affymetrix Human Exon 1.0 ST Array [transcript (gene) version] |
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| Samples (52)
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| Relations |
| BioProject |
PRJNA574297 |
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