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Related Experiment Video

Updated: May 24, 2026

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry

Published on: October 15, 2018

Integrative analysis workflow for the structural and functional classification of C-type lectins.

Geoffrey Koh¹, Ariana Low, Daren Poh

¹Bioprocessing Technology Institute, Agency for Science, Technology and Research, 20 Biopolis Way, #06-01, Centros, 138668, Singapore.

BMC Bioinformatics

|March 1, 2012

Summary

Researchers developed a new immunoinformatics workflow to systematically identify the functions of C-type lectins, which are key immune system proteins. This approach aids in understanding their roles in health and disease by analyzing sequence and glycan interactions.

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Last Updated: May 24, 2026

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry

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Published on: October 15, 2018

High-Dimensionality Flow Cytometry for Immune Function Analysis of Dissected Implant Tissues

High-Dimensionality Flow Cytometry for Immune Function Analysis of Dissected Implant Tissues

Published on: September 15, 2021

Area of Science:

Immunology
Bioinformatics
Structural Biology

Background:

C-type lectins are vital immune system proteins with diverse functions.
The C-type carbohydrate recognition domain (CRD) is conserved across known C-type lectins.
Numerous putative C-type lectins have been identified using CRD sequence profiles, necessitating functional characterization.

Purpose of the Study:

To establish a systematic framework for elucidating the glycan recognition functions of novel C-type lectins.
To discover the physiological and pathological roles of these newly identified C-type lectins.

Main Methods:

An integrated immunoinformatics workflow was developed.
The workflow annotates sequence and structural features of C-type lectins using web-based queries and software.
It incorporates glycan modeling and analysis, followed by context-specific knowledge filtering.

Main Results:

The workflow enables systematic characterization of novel C-type lectins.
It facilitates the design of targeted experiments for functional validation.
Application to CLEC17A demonstrated the workflow's utility and suggested potential functions.

Conclusions:

The proposed immunoinformatics workflow is effective for characterizing C-type lectins.
The study provides a foundation for further experimental validation of C-type lectin functions.
This systematic approach aids in understanding the immune roles of C-type lectins.