A research team at JAX is boosting the speed and accuracy of tumor sample image analysis, for multiple cancer types, offering the potential for more targeted treatment direction without additional testing.
Using sophisticated labeling methods, a team led by Professor Karolina Palucka, M.D., Ph.D., and Jan Martinek, Ph.D., analyzed patient samples of metastatic melanoma for further insight into how cancer cells are able to escape immune response and grow elsewhere in the body.
It’s been long recognized that aging is the single biggest risk factor for cancer and that age impacts treatment response. Research is urgently needed to develop a mechanistic understanding of the influence of aging on tumor initiation, progression and tumor response.
JAX researchers used long-read mRNA sequencing to catalog all mRNAs in primary breast cancer samples and revealed previously undocumented mRNA isoforms that can change protein function and may contribute to cancer progression and therapy response.
The Jackson Laboratory is proud to announce the 2022 recipients of the JAX Postdoctoral Scholar award. Eric Bogenschutz, Jayna Mistry, and Kwondo Kim represent forward-thinking research, proven leadership, and engagement with the scientific community.
JAX scientist Vivek Kumar, Ph.D., is using machine learning to automate and improve analysis of mouse behavior and movement. The new methods have already yielded important biological insights, and they may have even more profound implications for research into human diseases such as ALS, Alzheimer’s disease, and even cancer.