Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Ultrasensitive and highly selective detection of PIK3CA single point mutations in cell-free DNA with LNA-modified hairpin-shaped probe2citations
  • 2021Efficient calculation of carrier scattering rates from first principles393citations

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Chart of shared publication
Park, Kyong Hwa
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Kim, Yeul Hong
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Abbas, Naseem
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Shin, Sehyun
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Park, Youngsoo
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Persson, Kristin A.
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Faghaninia, Alireza
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Jain, Anubhav
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Ganose, Alex M.
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2022
2021

Co-Authors (by relevance)

  • Park, Kyong Hwa
  • Kim, Yeul Hong
  • Abbas, Naseem
  • Shin, Sehyun
  • Park, Youngsoo
  • Persson, Kristin A.
  • Faghaninia, Alireza
  • Jain, Anubhav
  • Ganose, Alex M.
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article

Ultrasensitive and highly selective detection of PIK3CA single point mutations in cell-free DNA with LNA-modified hairpin-shaped probe

  • Park, Kyong Hwa
  • Park, Junsoo
  • Kim, Yeul Hong
  • Abbas, Naseem
  • Shin, Sehyun
  • Park, Youngsoo
Abstract

Single nucleotide polymorphism (SNP) are frequently observed during anti-cancer therapy and their detection is critical for the prognosis and therapeutic monitoring of cancers. However, the detection of SNP is challenging due to the poor selectivity and limit of detection of the existing clinical evaluation methods because of the extreme similarities between the wild-type oligonucleotides and those with SNP. Therefore, in this study, we developed an innovative method to detect SNP with high sensitivity and selectivity. In the proposed method, LNA-modified primers and hairpin-shaped primers interact synergistically to promote target selectivity and sensitive amplification in real-time polymerase chain reaction (PCR). This method was able to detect the phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) point mutation E545K from cell-free DNA with 0.1% selectivity and 10 aM (0.12 fg) limit of detection. The present method was further successfully applied to the clinical samples of a colorectal cancer patient and the results were validated using digital droplet PCR. The present method of utilizing LNA-modified hairpin primers was found to be a highly sensitive, simple, and robust diagnostic tool to detect the PIK3CA E545K point mutation, which can also be used to detect various single nucleotide polymorphism in the patients with cancer.

Topics
  • impedance spectroscopy
  • additive manufacturing