Accession PRJCA002025
Title cis-X: a computational approach for discovery of regulatory noncoding variants in individual cancer genomes
Relevance Medical
Data types Whole genome sequencing
Transcriptome or Gene expression
Organisms Homo sapiens
Description Variations in the noncoding regions of human genome could cause tumor by activating oncogene transcription instead of altering its protein sequence. We developed a novel computational pipeline to discover these functional variants by integrating genomic sequencing data. Cis-X identifies candidates for aberrant cis-activated transcription by searching for genes with allele-specific expression accompanied by an elevated outlier expression level.The findings of this project will expand our insights of the cancer genome as well as the molecular mechanisms underlying the cancer.
Sample scope Multiisolate
Release date 2020-05-21
Publication
PubMed ID Article title Journal name DOI Year
32632335 Discovery of regulatory noncoding variants in individual cancer genomes by using cis-X Nature Genetics 10.1038/s41588-020-0659-5 2020
34903219 Personalized neoantigen vaccine prevents postoperative recurrence in hepatocellular carcinoma patients with vascular invasion Molecular Cancer 10.1186/s12943-021-01467-8 2021
Grants
Agency program Grant ID Grant title
The NIH grants 1R35CA210064
The NIH grants 1R01CA216391
The Cancer Center Support Grant P30CA021765
Submitter Yu    Liu  (liuyu@scmc.com.cn)
Organization Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine
Submission date 2019-12-13

Project Data

Resource name Description