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Activity Number:
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290
- Contributed Poster Presentations: ENAR
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Type:
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Contributed
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Date/Time:
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Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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Abstract #322829
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Title:
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IoSearch: A Tool for Searching Disease-Associated Interacting Omics
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Author(s):
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Deo Kumar Srivastava and Sarmistha Research Das*
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Companies:
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St. Jude Children's Research Hospital and St. Jude Children's Research Hospital
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Keywords:
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data integration;
multi-omics;
TCGA;
proteome;
transcriptome;
cancer
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Abstract:
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It is now known that cancer cells require a sustained activation of protein expression to initiate and proliferate. This leads to abnormal protein production that deregulates the activation of signaling pathways and produces proteins required for tumorigenesis. These aberrant proteins facilitate cancer progression and aid the cancer cells to develop resistance to treatment. Moreover, translation deregulation is a primary downstream output of oncogenic signaling. Thus, unravelling information from protein and gene expression in the signaling pathways holds a promise of understanding cancer aetiology. But it is experimentally infeasible to search for aberrantly interacting proteins and genes because of the huge data dimension and less number of samples than features. We propose ioSearch to identify associated biomarkers from interacting omics. Simulation results show that our method is powerful with a controlled type-I error rate. On application of ioSearch to the protein and gene expression data of 800 breast cancer patients from TCGA database, we identified a list of genes and proteins most of which are reported to have interacting functional implications across independent studies
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Authors who are presenting talks have a * after their name.
