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T Cell Activation and Clonal Selection

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T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...

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Human In Vitro Suppression as Screening Tool for the Recognition of an Early State of Immune Imbalance

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Published on: July 22, 2011

Computational study for suppression of CD25/IL-2 interaction.

Moein Dehbashi¹, Zohreh Hojati¹, Majid Motovali-Bashi¹

¹Division of Genetics, Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, 81746-73441, Islamic Republic of Iran.

Biological Chemistry

|February 5, 2021

Summary

This summary is machine-generated.

This study introduces computational methods to design novel antagonists targeting CD25, aiming to overcome cancer immune escape and improve patient treatment outcomes by inhibiting regulatory T cells.

Keywords:

CD25 Off-target effects de novo designed peptides in silico siRNAs virtual screened small molecules

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Generation of Induced Regulatory T Cells from Primary Human Naïve and Memory T Cells

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Generation of Induced Regulatory T Cells from Primary Human Naïve and Memory T Cells

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Published on: April 16, 2012

Area of Science:

Immunology
Computational Biology
Drug Discovery

Background:

Cancer recurrence is a major challenge, often driven by immune escape mechanisms.
Regulatory T (Treg) cells, expressing CD25, play a crucial role in promoting cancer immune escape.
Inhibiting the CD25/IL-2 interaction offers a potential strategy to counteract Treg cell activity and cancer immune evasion.

Purpose of the Study:

To computationally design and identify novel antagonists targeting CD25.
To explore strategies for eliminating cancer immune escape and improving therapeutic outcomes.
To lay the groundwork for future in vitro and in vivo validation of developed antagonists.

Main Methods:

Utilized software, web servers, and databases for in silico drug design.
Designed small interfering RNAs (siRNAs) with low off-target effects against CD25.
Performed virtual screening and de novo design of small molecules and peptides targeting CD25.

Main Results:

Successfully designed siRNAs with minimal predicted off-target effects.
Identified small molecules through binding homology and similarity searches.
Developed a de novo designed peptide targeting critical amino acids on CD25, incorporating a disulfide bond.

Conclusions:

Computational approaches can effectively generate potential CD25 antagonists.
The designed antagonists (siRNAs, small molecules, peptides) offer promising avenues to overcome cancer immune escape.
This study provides a computational foundation for further experimental validation of these novel anti-cancer agents.