Binsheng Gong
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Visiting Scientist
Also affiliated: United States Food and Drug Administration (2014–2026); University Health Network (2009); Harbin Medical University (2003–2014); Illumina (United States) (2021); Princess Margaret Cancer Centre (2009); Fourth Affiliated Hospital of Harbin Medical University (2014); Second Affiliated Hospital of Harbin Medical University (2008)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Binsheng Gong's research focuses on the analytical validity and performance assessment of genomic sequencing assays, particularly for applications in precision oncology and cancer research. His work involves developing and verifying genomic reference samples to evaluate the sensitivity and accuracy of cancer panels in detecting small variants of low allele frequency. Gong has investigated how sample processing, such as formalin-fixed paraffin-embedded (FFPE) preparation, can affect sequencing quality and has explored the degradation of quality based on genomic regions and within-block positions.
His research also extends to assessing specific genomic alterations in animal models, correlating cancer driver mutations with spontaneous tumor incidence in rats and mice. Gong has experience with both short-read and long-read sequencing technologies for targeted DNA and RNA sequencing. He has a publication record of 90 articles, with 3,002 citations and an h-index of 18. Key collaborators include Joshua Xu and Barbara L. Parsons from the National Center for Toxicological Research, and Donald J. Johann from the University of Arkansas for Medical Sciences.
Metrics
- h-index: 18
- Publications: 91
- Citations: 3,064
Positions
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Visiting Scientist 2015–presentNational Center for Toxicological Research Division of Bioinformatics and Biostatistics ORCID
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Professor (Associate) 2011–2014Harbin Medical University College of Bioinformatics Science and Technology ORCID
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Instructor and Research Assistant 2003–2011Harbin Medical University College of Bioinformatics Science and Technology ORCID
Selected Publications
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Expansion of preexisting cancer driver mutant clones is induced by the genotoxic carcinogen benzo[b]fluoranthene in MutaMouse lung (2026)
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2025 White Paper on Recent Issues in Bioanalysis: Redosing Patients with AAV Gene Therapy; CRS Immunogenicity Risk; Shedding Assays; NHP Studies Immunogenicity; CMC vs Bioanalytical Assays; Artificial Intelligence-Powered Genomic Pipelines for NGS ( PART 3A – Recommendations on Gene, Cell, and Vaccine Therapies Immunogenicity & Technologies; Biotherapeutics & Biosimilars Immunogenicity Assessment & Clinical Relevance PART 3B – Regulatory Agencies’ Input on Immunogenicity/Technologies of Biotherapeutics, Gene, Cell & Vaccine Therapies) (2025)
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Tissue and Sex‐Specific Performance of a Cancer Driver Based Biomarker in rasH2 ‐Tg Mice (2025)
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Dissecting Sex‐Specific Pathology in K18‐hACE2 Transgenic Mice Infected With Different SARS‐CoV‐2 Variants (2025)
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Augmenting precision medicine via targeted RNA-Seq detection of expressed mutations (2025)
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Zika and dengue viruses differentially modulate host mRNA processing factors defining its virulence (2025)
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Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing (2024)
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Towards accurate indel calling for oncopanel sequencing through an international pipeline competition at precisionFDA (2024)
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Extend the benchmarking indel set by manual review using the individual cell line sequencing data from the Sequencing Quality Control 2 (SEQC2) project (2024)
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Abstract 2440: Cancer driver mutations as quantitative biomarkers of cancer risk interspecies analyses using CarcSeq (2024)
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Single-cell RNA-sequencing and subcellular spatial transcriptomics facilitate the translation of liver microphysiological systems for regulatory application (2023)
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Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples (2022)
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Ultra-deep multi-oncopanel sequencing of benchmarking samples with a wide range of variant allele frequencies (2022)
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Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity (2022)
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Circulating biomarkers of neurotoxicity: Proteomics approach reveals fluidic endpoints of central nervous system toxicity in a rodent model of neurotoxicity (2021)
Collaboration Network
Top Collaborators
- The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
- An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era
- Comprehensive Assessments of RNA-seq by the SEQC Consortium: FDA-Led Efforts Advance Precision Medicine
- Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq
- The FDA’s Experience with Emerging Genomics Technologies—Past, Present, and Future
Showing 5 of 20 shared publications
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
- An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era
- Comprehensive Assessments of RNA-seq by the SEQC Consortium: FDA-Led Efforts Advance Precision Medicine
- Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq
- The FDA’s Experience with Emerging Genomics Technologies—Past, Present, and Future
Showing 5 of 15 shared publications
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
- Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples
- Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing
Showing 5 of 10 shared publications
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing
- Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity
- Ultra-deep multi-oncopanel sequencing of benchmarking samples with a wide range of variant allele frequencies
Showing 5 of 9 shared publications
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
- Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples
- Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing
Showing 5 of 7 shared publications
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
- The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
- An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era
- Comprehensive Assessments of RNA-seq by the SEQC Consortium: FDA-Led Efforts Advance Precision Medicine
- Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq
Showing 5 of 6 shared publications
- Quantification of cancer driver mutations in human breast and lung DNA using targeted, error‐corrected CarcSeq
- CarcSeq Measurement of Rat Mammary Cancer Driver Mutations and Relation to Spontaneous Mammary Neoplasia
- Assessment of Clonal Expansion Using CarcSeq Measurement of Lung Cancer Driver Mutations and Correlation With Mouse Strain- and Sex-Related Incidence of Spontaneous Lung Neoplasia
- Tissue and Sex‐Specific Performance of a Cancer Driver Based Biomarker in rasH2 ‐Tg Mice
- Abstract 2440: Cancer driver mutations as quantitative biomarkers of cancer risk interspecies analyses using CarcSeq
Showing 5 of 6 shared publications
- Quantification of cancer driver mutations in human breast and lung DNA using targeted, error‐corrected CarcSeq
- CarcSeq Measurement of Rat Mammary Cancer Driver Mutations and Relation to Spontaneous Mammary Neoplasia
- Assessment of Clonal Expansion Using CarcSeq Measurement of Lung Cancer Driver Mutations and Correlation With Mouse Strain- and Sex-Related Incidence of Spontaneous Lung Neoplasia
- Tissue and Sex‐Specific Performance of a Cancer Driver Based Biomarker in rasH2 ‐Tg Mice
- Abstract 2440: Cancer driver mutations as quantitative biomarkers of cancer risk interspecies analyses using CarcSeq
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
- Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples
- Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing
- Deep oncopanel sequencing reveals fixation time- and within block position-dependent quality degradation in FFPE processed samples
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
- Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing
- Augmenting precision medicine via targeted RNA-Seq detection of expressed mutations
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
- Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing
- Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity
- Augmenting precision medicine via targeted RNA-Seq detection of expressed mutations
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
- Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing
- Augmenting precision medicine via targeted RNA-Seq detection of expressed mutations
- The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
- Augmenting precision medicine via targeted RNA-Seq detection of expressed mutations
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
- The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
- An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era
- Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
- An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era
- Impact of Sequencing Depth and Library Preparation on Toxicological Interpretation of RNA-Seq Data in a “Three-Sample” Scenario
- Identification of Translational microRNA Biomarker Candidates for Ketoconazole-Induced Liver Injury Using Next-Generation Sequencing
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