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 |