Matthew D. Thompson Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

Lyon College

faculty

matthew.thompson@lyon.edu

16 h-index 77 pubs 858 cited

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Biography and Research Information

OverviewAI-generated summary

Matthew D. Thompson's research focuses on cancer treatment patterns and outcomes, particularly in non-small cell lung cancer and triple-negative breast cancer. He has investigated trends in systemic anticancer therapy and mortality using real-world data from initiatives like I-O Optimise. His work also explores the role and regulation of specific protein families, such as Pif1 family helicases, at the replication fork, and examines structural features of enzymes like Dda helicase. Thompson has also contributed to studies assessing the use of bone-targeting agents in patients with bone metastases from various cancers, utilizing both structured and unstructured electronic health records. His publications demonstrate an interest in molecular biology techniques, including CUT&Tag, for investigating chromatin accessibility and G-quadruplex sequences.

Metrics

  • h-index: 16
  • Publications: 77
  • Citations: 858

Selected Publications

  • Untargeted CUT&Tag reads are enriched at accessible chromatin and restrict identification of potential G4-forming sequences in G4-targeted CUT&Tag experiments (2025) DOI
  • Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB (2025) DOI
  • Untargeted CUT&amp;Tag and BG4 CUT&amp;Tag are both enriched at G-quadruplexes and accessible chromatin (2024) DOI
  • Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB (2024) DOI
  • Role and Regulation of Pif1 Family Helicases at the Replication Fork (2022) DOI
  • Monitoring helicase-catalyzed unwinding of multiple duplexes simultaneously (2022) DOI
  • A structural feature of Dda helicase which enhances displacement of streptavidin and <i>trp</i> repressor from <scp>DNA</scp> (2021) DOI
  • Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer (2021) DOI

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