Nature - The international collaboration of the Human Cancer Models Initiative presents a comprehensive resource of next-generation cancer models from 2,780 donors with 25 cancer types and...

Read about Compendium of patient-derived models offers new opportunities for cancer research, precision oncology on Van Andel Institute – Stay updated on the latest research and groundbreaking discove...

Nature - The international collaboration of the Human Cancer Models Initiative presents a comprehensive resource of next-generation cancer models from 2,780 donors with 25 cancer types and...

Read about Can epigenetics help us understand Crohn’s disease? on Van Andel Institute – Stay updated on the latest research and groundbreaking discoveries in science and health.

Read about Van Andel Institute scientists develop technique for high-resolution single cell epigenetic analysis on Van Andel Institute – Stay updated on the latest research and groundbreaking discover...

Nature Communications - Here, the authors describe scDEEP-mC, an improved single-cell whole-genome bisulfite sequencing method for complex libraries and deep genomic coverage, and show advanced...

Scientific Reports - Epigenetic signatures of intergenerational exposure to violence in three generations of Syrian refugees

Directly contact your elected officials about the importance of cancer research, the need for continued funding and the latest lifesaving breakthroughs. In the United States, you can do so by sending ...

Panzeri et al. use a Trim28+/D9 mouse model with intrinsic developmental heterogeneity to show that ‘heavy’ and ‘light’ developmental morphs exhibit different timing, type and severity of cancer, link...

Loss of DNA methylation is a hallmark of cancer that is proposed to promote carcinogenesis through gene expression alterations, retrotransposon activation and induction of genomic instability. Cancer-...

Read about New resource available to help scientists better classify cancer subtypes on Van Andel Institute – Stay updated on the latest research and groundbreaking discoveries in science and health.

Ellrott et al. provide a means to assign patient samples from clinical trials and other cancer genome studies to published TCGA molecular subtypes. Applying machine learning to data from five different molecular platforms for 8,791 TCGA tumor samples, they contribute a public resource of 737 top classifier models, which can form the foundation for clinical assay development.

VAI scientists Russell Jones, Ph.D., and Peter W. Laird, Ph.D., are included in this year’s Clarivate Highly Cited Researchers list, a distinction marking them as leaders in their fields.