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Updated: Mar 21, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

CTLPScanner: a web server for chromothripsis-like pattern detection.

Jian Yang¹, Jixiang Liu¹, Liang Ouyang²

¹Center of Growth, Metabolism, and Aging, Key Laboratory of Bio-Resources and Eco-Environment, College of Life Sciences, Sichuan University, Chengdu 610064, Sichuan, China.

Nucleic Acids Research

|May 18, 2016

Summary

This summary is machine-generated.

Chromothripsis, a cancer cell phenomenon involving chromosome shattering and reassembly, can now be detected using the new CTLPScanner web tool. This tool aids in identifying chromothripsis signatures and associated genes in cancer development.

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Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

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Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

Published on: May 9, 2011

Area of Science:

Genomics
Cancer Biology
Bioinformatics

Background:

Chromothripsis involves chromosome shattering and aberrant reassembly in cancer cells, contributing to rapid mutation accumulation.
Understanding the molecular mechanisms of chromothripsis is crucial for cancer development research.
There is a need for accessible tools to detect and analyze chromothripsis patterns in genomic data.

Purpose of the Study:

To develop an automated, user-friendly web server for detecting chromothripsis-like patterns (CTLP) in genomic array data.
To provide intuitive visualization and detailed annotation of chromothripsis events.
To facilitate the identification of genes potentially involved in tumorigenesis through chromothripsis.

Main Methods:

Development of CTLPScanner, a web server utilizing genomic array data.
Implementation of algorithms for detecting chromosome pulverization and inaccurate reassembly.
Integration of over 50,000 pre-processed genomic arrays from TCGA and GEO for meta-analysis.

Main Results:

CTLPScanner successfully detects chromothripsis-like patterns in genomic data.
The server offers graphical and tabular outputs for visualizing chromosome pulverization.
Associated genes within chromothripsis regions are identified, aiding in tumorigenesis candidate discovery.

Conclusions:

CTLPScanner provides an efficient and accessible platform for identifying chromothripsis signatures.
The tool supports exploration of chromothripsis in public datasets without local processing.
CTLPScanner advances the study of chromothripsis as a driver of cancer development.