Continued">Continued">Continued">Research Interest – Children Cancer Hospital Egypt 57357
317015

The Proteomics and Metabolomics Program

Research Interest

The ultimate goal of proteomics and metabolomics unit is to identify tumor-associated changes in the proteome and metabolome using a mass spectrometry-based open screening strategy.

The activities of our unit are focused on three main areas:

  • Identification of specific biomarkers for early detection of cancer and disease monitoring, utilizing the state of art mass spectrometry technology as a novel diagnostic tool to rapidly and accurately identify clinical pathogenic.

  • Discovery of markers/targets that could potentially predict the cancerous profile, and hence, these predictive markers could be used for targeted therapy of cancer as it offers strategies for prevention, screening, and treatment.

  • Development and implementation of innovative “omics” – proteomics and metabolomics – workflows and data analysis strategies. An advanced bioinformatics branch was developed at the unit offering a platform for achieving the unit golden aims.

Themes of Research:

There are currently several running research projects targeting a variety of tumor types such as acute myeloid leukemia, acute lymphoid leukemia and Ewing’s sarcoma.

  1. Proteomic profiling for cancer patients provides a global overview on the protein changes in patients. Building up a proteomics data repository for several types of sarcomas and carcinomas will provide an in-depth details on protein changes, modifications, interactions in these tumors.

  2. Identification of early prognostic biomarkers is of high need especially in tumors with high metastatic rates such as Ewing’s sarcoma.

  3. Candida and Aspergillosis: Fungal infection is one of the major complications in cancer patients, thus, development of new methods for early diagnosis of invasive fungal infections through studying fungal metabolome is of high priority to the unit.

  4. Metaproteomics: The newly emerged metaproteomics field aims to analyze in-depth the cross-talk interactions between host and microbiome, and the role of the later in disease development.