Valentin Dinu

About

Valentin Dinu is an Associate Professor at the College of Health Solutions at ASU, directing the Translational Bioinformatics Lab. He holds a PhD in Computational Biology and Bioinformatics from Yale University and an A.B. in Mathematics and Physics from Harvard University. His research focuses on developing informatics methods and applications for managing, integrating, and analyzing large biomedical datasets generated through high-throughput platforms such as genomic sequencing, microarrays, and mass spectrometry. His work has been applied to analyze data related to various diseases, including cancer, diabetes, obesity, Alzheimer’s disease, schizophrenia, and age-related macular degeneration. Professor Dinu's research aims to facilitate the management, integration, and analysis of diverse biomedical information sources by improving computational approaches, software applications, and databases. He has contributed to the use of biological domain knowledge to enhance statistical analysis and data mining methods for disease gene and pathway identification, as well as exploring database modeling approaches for large, heterogeneous datasets from clinical and biosciences domains. His research has been supported by multiple agencies, including NIH, BARDA, DOD, VA, and others, and he has mentored numerous scientists across various career stages, many of whom have gone on to successful careers in industry, healthcare, research institutes, and academia.

Research topics

• Biology
• Genetics
• Immunology
• Computational biology
• Medicine
• Cancer research
• Evolutionary biology
• Botany

Selected publications

• The role of host genetics in susceptibility to severe viral infections in humans and insights into host genetics of severe COVID-19: A systematic review

  Virus Research · 2020 · 92 citations

  Senior authorCorresponding
  PublisherOA PDFDOI

• Transcriptome analysis of desmoplastic small round cell tumors identifies actionable therapeutic targets: a report from the Children’s Oncology Group

  Scientific Reports · 2020 · 46 citations

  To further understand the molecular pathogenesis of desmoplastic small round cell tumor (DSRCT), a fatal malignancy occurring primarily in adolescent/young adult males, we used next-generation RNA sequencing to investigate the gene expression profiles intrinsic to this disease. RNA from DSRCT specimens obtained from the Children's Oncology Group was sequenced using the Illumina HiSeq 2000 system and subjected to bioinformatic analyses. Validation and functional studies included WT1 ChIP-seq, EWS…

  PublisherOA PDFDOI

• Obesity modifies the stoichiometry of mitochondrial proteins in a way that is distinct to the subcellular localization of the mitochondria in skeletal muscle

  Metabolism · 2018-09-22 · 28 citations

  article
  PublisherDOI

• Exome Sequencing of Two Siblings with Sporadic Autism Spectrum Disorder and Severe Speech Sound Disorder Suggests Pleiotropic and Complex Effects

  Behavior Genetics · 2019-04-04 · 27 citations

  article
  PublisherDOI

• Accurate Identification of Subclones in Tumor Genomes

  Molecular Biology and Evolution · 2022 · 13 citations

  Understanding intratumor heterogeneity is critical for studying tumorigenesis and designing personalized treatments. To decompose the mixed cell population in a tumor, subclones are inferred computationally based on variant allele frequency (VAF) from bulk sequencing data. In this study, we showed that sequencing depth, mean VAF, and variance of VAF of a subclone are confounded. Without considering this effect, current methods require deep-sequencing data (>300× depth) to reliably infer subclone…

  PublisherOA PDFDOI

Frequent coauthors

• Margaret Linan

  Icahn School of Medicine at Mount Sinai

  10 shared

• Jean-Pierre A. Kocher

  WinnMed

  9 shared

• Michael A. Meiners

  Mayo Clinic

  9 shared

• David A. Rider

  9 shared

• Asif Hossain

  9 shared

• Venkata D. Yellapantula

  9 shared

• Patrick E. Duffy

  Mayo Clinic

  9 shared

• Steven N. Hart

  University College London

  9 shared

Labs

• Translational Bioinformatics Lab at ASUPI

Education

• Ph.D., Computational Biology and Bioinformatics

  Yale University

• Other, Mathematics and Physics

  Harvard University

Awards & honors

• Excellence in Teaching Award (1999)
• Magna Cum Laude with Highest Honors college graduate (2000)
• PhD funded by National Library of Medicine Biomedical Inform…

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