Wanqiu Chen

Research Assistant Professor

Loma Linda University

United States

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About

Wanqiu Chen is a Research Assistant Professor at Loma Linda University in the United States. His research focuses on understanding cancer biology, particularly in the context of platinum resistance in ovarian cancer, as well as the impact of prenatal e-cigarette exposure on neuronal development. Recent publications include insights on somatic copy number variation detection and the transcriptional landscape of cisplatin resistance.

Articles (11)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

Collaborators (1)

Matthew Bock

Associate Professor

University of California, San Diego

UNITED STATES

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Wanqiu Chen

Research Interests

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Articles (11)

Single-cell profiling of H3K4me1-H3K27me3 revealed bivalent regulation of abnormal neuronal development caused by prenatal e-cigarette vaporing

A Stem-like Patient-Derived Ovarian Cancer Model of Platinum Resistance Reveals Dissociation of Stemness and Resistance

Evaluation of somatic copy number variation detection by NGS technologies and bioinformatics tools on a hyper-diploid cancer genome

Modeling platinum resistance in a stem-like patient-derived ovarian cancer sample

The transcriptional landscape of cisplatin resistance and its relationship with epithelial mesenchymal transition in ovarian cancer

Dysregulated miRNAs modulate tumor microenvironment associated signaling networks in pancreatic ductal adenocarcinoma

Reprogramming of human peripheral blood mononuclear cells into induced mesenchymal stromal cells using non-integrating vectors

Personalized genome assembly for accurate cancer somatic mutation discovery using tumor-normal paired reference samples

Single-nucleus chromatin accessibility and RNA sequencing reveal impaired brain development in prenatally e-cigarette exposed neonatal rats

Structural variant analysis of a cancer reference cell line sample using multiple sequencing technologies

A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples

Collaborators (1)

Matthew Bock

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