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Translational & Applied Science Hub (TASH)


Translational & Applied Science Hub (TASH)


TASH is a multidisciplinary research facility at Ain Shams University designed to address Egypt’s pressing health challenges through integrated wet lab/dry lab capabilities and strategic partnerships with MASRI. Leveraging Translational Bioinformatics and AI-driven analytics, TASH will position itself as Egypt’s premier hub for cost-effective translational research.

Mission: 

“To democratize advanced biomedical research for Egyptian healthcare solutions through innovation, collaboration, and capacity-building.”

 

 

Vision: 

“A regional leader in genomic medicine and precision diagnostics by 2030.”

1. Developing innovative diagnostic and therapeutic solutions for chronic diseases (such as cancer and diabetes).

 

2. Integrating artificial intelligence (AI) and big data technologies into medical research.

 

3. Building strategic partnerships with universities and industry.

 

4. Training medical professionals and researchers on modern technologies such as CRISPR and proteomics.

  • Lab Spaces:
  • Wet Labs:Equipped with qPCR, Fluorescent microscope, and automated cell culture systems .

No.

 

Instrument

اسم الجهاز

Specification

1. 

Real-time PCR (Quantestudio)

      1

2. 

Conventional PCR thermal cycler

      1

3. 

Nanodrop spectrophotometer (multiskan)

      1

4.

High-speed, cooling microcentrifuge with fixed-angle rotor

      2

5.

High-speed,   centrifuge with swing-out rotors

      1

6.

Vertical -80°C freezer

 

      1

7.

Vertical -20°C freezer

      2

8.

Vertical 4°C refrigerators (4 units)

      4

9. 

Vertical laminar flow hood

      2

10.

Safety cabinet class II

   

11.

Automated ELISA reader system

Automated ELISA Washer

  1

12.

2 CO2 incubator

  2

13. 

Ultrasonics Sonochemistry (for western plot)

  1

14. 

Vertica & horizontal l mini-electrophoresis/electroblotting system

  1

15.

  Water path

  2

16.

Thermoblock

  1

17.

Magent stirrer

  1

18. 

Chemi Doc imaging system

  1

19. 

Automatic, digital (single & multichannel), variable micropipettes of different sizes

  30

20.

High-precision digital microbalance

  3

21.

orbital Shacker

  1

22.

2 Inverted microscope with camera

  1

23.

Water purification system

  1

24.

speectrofluorometer

  1

25.

vortex

  3

 

  • Dry Labs:High-performance computing clusters, cloud-based ML platforms (e.g., AWS/Azure).
  • Shared Core Facility:Next-gen sequencing (Illumina), HPLC access via partnerships.

 

Cold room

  • freezer -80 C
  • freezer -20 C
  • freezer 4 C

 

Biochemistry lab

  • Distilled water unit
  • Computer
  • Heat Block stirrer
  • Ph meter
  • Sonicator
  • Cooling centrifuge
  • Vortex manual
  •  Digital Vortex
  • Digital balance
  • Gel electrophoresis
  • Heat Block
  • Homogenizer (50 ml)

 

Proteomics Lab

  • orbital shaker
  • vortex
  • vertical electrophoresis unit
  • power blotter
  • sensitive balance
  • ELISA plate washer
  • ELISA Plate reader

 

Molecular biology lab

  • Realtime PCR
  • Computer
  • Conventional PCR
  • laminar flow hood
  • skyhigh multiskan and nanodrop
  • horizontal gel electrophoresis

 

Imaging Lab

  • skyhigh multiskan and nanodrop
  • Gel documentation system
  • Computer
  • Screen
  • spectrofluorometer

 

Cell culture lab (parasitology & microbiology)

  • CO2 incubator
  • Inverted Microscope+ screen
  • class 1 laminar flow hood
  • Cooling centrifuge

 

Cell culture lab (stem cells & histology)

 

  • autoclave
  • water bath
  • Inverted microscope
  • safety cabinet class II without exhaust
  • highspeed centrifuge 

 

Sample collection area

  • Autoclave

 

Bioinformatics work area

  • AI workstation

 

 

 

Professor of Molecular Microbiology

Professor Nahed Ismail

 

Professor of Molecular Pathology

Professor Mohamed Abdel Rahman

 

 

 

 

Professor of Pharmacology

Professor Ayman Al-Qadi

  1.  Abd ElGwad, A.M., Youssef, I., Khaled, A. et al. “Machine learning-based prediction of drug response in ischemia reperfusion animal model,”  Sci. Rep. 15, 43012, 2025.

    https://doi.org/10.1038/s41598-025-18620-8

     

  2. Sedkey ES, Matboli M, Seadawy MG, Hegazy MGA. “Genetic/epigenetic RNA dysregulation in type 2 diabetes mellitus complicated with ischemic heart disease,” Front Endocrinol (Lausanne), 2025 Oct 31;16:1687145. PMID: 41244042; PMCID: PMC12615181. 

    https://doi.org/10.3389/fendo.2025.1687145

     

  3. Marwa Matboli, Aly Elanwar, Tarek M. Yousef, Radwa Khaled, Maha Saad, Mohamed Ahmed Mohamed Tolba, Nesma Mohamed Mohamed, Ghada Galal Hamam, Marwa Shafei, Shimaa S. Attia, Nevien Hendawy, Marian Maher Salib Roushdy, “Dual calcium-ACE inhibition reverses non alcoholic fatty pancreas progression: Mechanistic convergence on miR-762/GPX4 driven NLRP3 inflammasome activation,” Biomedicine & Pharmacotherapy, Volume 196, 2026. 

    https://doi.org/10.1016/j.biopha.2026.119137

     

  4.  El-Sayed AA, Nabeel AI, Hegazy MGA, El Anwar A, Matboli M. “Evaluation of a lipid peroxidation-dependent ferroptosis RNA panel expression as a potential noninvasive biomarker in patients with nonalcoholic steatohepatitis-associated hepatocellular carcinoma,” Mol Biol Rep., 2025 Dec 29; 53(1):231. IF: 2.8 (Q3) PMID: 41460534. 

    https://doi.org/10.1007/s11033-025-11340-2

     

  5. Matboli, M., ELanwar, A., Altayyar, M. et al. “Identification of NFKB1, miR-342-5p, -5192, and −15b as diagnostic biomarkers for periodontitis in type 2 diabetes mellitus: a cross-sectional and experimental study,” BMC Oral Health, 2026.

    https://doi.org/10.1186/s12903-026-07780-2

     

Advanced Techniques in ChIP and

CRISPR for Gene Regulation Studies

 

  • Duration :
  • Content :
  • Combining ChIP techniques with CRISPR for functional genomics .
  • Design and optimization of CRISPR experiments to study gene regulation .
  • Data analysis of ChIP-Seq and CRISPR results using bioinformatics tools .
  • Case studies on the application of these techniques in virology research .
  • Target Audience:Genetic engineers, molecular biologists, and bioinformaticians .

 

Bioinformatics Applications in Viral

Pathogenesis and Immunity

 

  • Duration :
  • Content : 
  • Bioinformatics approaches to study host-virus interactions.
  • Analysis of immune responses to viral infections using transcriptomic data.
  • Predictive modeling of viral evolution and spread using AI.
  • Workshops on software tools for viral sequence analysis and immune profiling.
  • Target Audience:Immunologists, virologists, and data scientists .

 

AI-Driven Approaches in Virology and

Genomics

 

  • Duration :
  • Content :
  • Machine learning algorithms for viral sequence classification and annotation.
  • Deep learning applications in predicting viral pathogenicity and host interactions.
  • Development of AI models for real-time virology data analysis.
  • Practical sessions on using TensorFlow and PyTorch for genomic data.
  • Target Audience:Bioinformaticians, virologists, and AI researchers.

 

ChIP-Seq Data Analysis and Integration

with Bioinformatics

 

  • Duration :
  • Content : 
  • Advanced techniques in ChIP-seq for studying protein-DNA interactions.
  • Data processing and analysis using bioinformatics software (e.g., MACS, HOMER).
  • Integration of ChIP-seq data with transcriptomics and epigenomics.
  • Hands-on workshops on data visualization and interpretation using R/Bioconductor.
  • Target Audience:Molecular biologists, geneticists, and bioinformaticians .

 

Advanced Virology: Integrating AI and Bioinformatics

 

  • Duration
  • Content
  • In-depth study of viral genomics and evolution.
  • Application of AI in predicting viral outbreaks and mutations.
  • Bioinformatics tools for analyzing viral sequences and structures.
  • Case studies on the use of AI in vaccine development and antiviral drug discovery.
  • Target Audience:Researchers in virology, bioinformatics, and computational biology.
 

 

Domain

Key Activities

Medical Biochemistry

Biomarker discovery, metabolic disorder analysis (e.g., diabetes, cancer).

Molecular Biology

Gene editing (CRISPR), epigenetic studies, and viral pathogenesis research.

Cell Culture

3D organoid models for drug testing, stem cell differentiation protocols.

Bioinformatics

Multi-omics data integration (genomics, proteomics), structural biology.

Machine Learning

Predictive modeling for disease progression, drug repurposing, and image analysis.

Grant Type   year

Project Title

ASERT          2025
AI prototype in MASH

Monthly Journal

Location:

Faculty of Medicine – Ain Shams University, Abbassia, Cairo, EGYPT.


Email:

TASH.trainingcenter@med.asu.edu.eg