Publications by authors named "M L Kuijjer"

Summary: Since high-throughput techniques became a staple in biological science laboratories, computational algorithms, and scientific software have boomed. However, the development of bioinformatics software usually lacks software development quality standards. The resulting software code is hard to test, reuse, and maintain.

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Unfolded protein response (UPR) is a central stress response pathway that is hijacked by tumor cells for their survival. Here, we find that IRE1α signaling, one of the canonical UPR arms, is increased in prostate cancer (PCa) patient tumors. Genetic or small molecule inhibition of IRE1α in syngeneic mouse PCa models and an orthotopic model decreases tumor growth.

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Osteosarcoma is a primary bone tumor that exhibits a complex genomic landscape characterized by gross chromosomal abnormalities. Osteosarcoma patients often develop metastatic disease, resulting in limited therapeutic options and poor survival rates. To gain knowledge on the mechanisms underlying osteosarcoma heterogeneity and metastatic process, it is important to obtain a detailed profile of the genomic alterations that accompany osteosarcoma progression.

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Article Synopsis
  • Osteosarcoma and Ewing sarcoma are challenging bone tumors primarily affecting younger individuals, with low survival rates even after various treatment approaches.
  • Current research on targeted therapies and immunotherapies has been ineffective, highlighting the need for a deeper understanding of the tumor biology and the immune microenvironment.
  • A new Europe-wide framework for systematic sampling and analysis of patient samples has been proposed, supported by international consortia aiming to set guidelines that will enhance research collaboration and ultimately improve treatment outcomes.
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Article Synopsis
  • Single-cell technologies allow detailed studies of how specific molecules define cell traits, but challenges like sparse data and cell differences make it tough to model biological variability.
  • SCORPION is introduced as a new tool that reconstructs gene regulatory networks from single-cell RNA-sequencing data, providing reliable comparisons across different populations.
  • In tests, SCORPION outperformed existing techniques and effectively identified differences in regulatory networks related to cancer, helping to reveal important factors that could affect patient survival.
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