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Translational Medicine / 转化医学Pediatric Cancer Genomics & Computational Biology

Jinghui Zhang

张静慧

PhD

🏢St. Jude Children's Research Hospital(圣裘德儿童研究医院)🌐USA

Chair and Endowed Professor, Department of Computational Biology; Member, St. Jude Faculty计算生物学系主任兼讲席教授

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Jinghui Zhang, PhD is Chair of the Department of Computational Biology at St. Jude Children's Research Hospital, where she directs the bioinformatics analysis underpinning the most comprehensive genomic characterization of childhood cancers ever performed. She was a senior leader of the Pediatric Cancer Genome Project (PCGP)—the first paired tumor-germline whole-genome sequencing study of pediatric cancers—and has led analysis of the St. Jude Cloud, a freely accessible genomic data commons containing sequencing data from over 10,000 pediatric cancer patients. Her foundational contributions include developing widely adopted computational tools for somatic mutation calling (CREST, CICERO) and characterizing the landscape of structural variation, gene fusions, and noncoding regulatory mutations across childhood cancer types. The St. Jude Cloud platform she helps lead has enabled hundreds of research groups worldwide to perform pediatric cancer genomics studies without access to their own patient cohorts.

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🧪Research Fields 研究领域

Pediatric Cancer Genomics儿童肿瘤基因组学
Somatic Mutation Landscape of Childhood Cancer儿童癌症体细胞突变图谱
Structural Variation and Chromothripsis结构变异与染色体碎裂
Computational Biology of Cancer肿瘤计算生物学
St. Jude Cloud Data Infrastructure圣裘德云数据平台

🎓Key Contributions 主要贡献

Pediatric Cancer Genome Project (PCGP)

Served as lead computational biologist for the PCGP, the first initiative to systematically apply paired tumor-germline whole-genome sequencing across 10+ childhood cancer types, yielding a comprehensive catalog of somatic alterations and predisposition variants in the largest pediatric cancer genomics series of its time.

Development of Cancer Structural Variant Algorithms

Developed CREST (Clipping REveals STructure) and CICERO (Clipped-reads Extended for RNA Observation), widely used computational tools for detecting structural variants and gene fusions from next-generation sequencing data, enabling discovery of novel driver rearrangements across pediatric cancers.

St. Jude Cloud Genomics Data Platform

Co-leads the St. Jude Cloud initiative, which provides open, controlled-access to whole-genome, whole-exome, and RNA sequencing data from 10,000+ pediatric cancer cases, hosting over 2.6 petabytes of data and enabling global collaborative research through a cloud computing environment.

Noncoding Genome and Regulatory Mutations in Childhood Cancer

Pioneered analysis of the pediatric cancer noncoding genome, identifying recurrent mutations in noncoding regulatory elements including promoters and enhancers in T-ALL, neuroblastoma, and pediatric gliomas, revealing a new class of oncogenic drivers missed by exome-focused studies.

Representative Works 代表性著作

[1]

The genomic landscape of pediatric and young adult T-lineage acute lymphoblastic leukemia

Nature Genetics (2017)

Comprehensive genomic analysis of 264 T-ALL cases from the PCGP defining the full landscape of driver mutations, structural variants, and novel gene fusions in this high-risk leukemia.

[2]

St. Jude Cloud: a pediatric cancer genomic data sharing ecosystem

Cancer Discovery (2021)

Description and validation of the St. Jude Cloud platform providing open access to pediatric cancer genomics data with cloud-native analysis tools and over 2.6 petabytes of sequencing data.

[3]

CREST: mapping complex rearrangements in tumor genomes at single base-pair resolution

Nature Methods (2011)

Introduction of the CREST algorithm using soft-clipped reads to detect structural variations at base-pair resolution, enabling discovery of novel driver gene fusions in pediatric cancer genomes.

🏆Awards & Recognition 奖项与荣誉

🏆St. Jude Faculty Scholar Award
🏆NCI Outstanding Investigator Award
🏆International Society of Computational Biology (ISCB) Senior Membership
🏆American Association for Cancer Research Distinguished Lectureship in Computational Biology

📄Data Sources 数据来源

Last updated: 2026-04-06 | All information from publicly available academic sources

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