Highlights of new data, tools and resources on the Cancer Complexity Knowledge Portal
Immune cells called macrophages make up a large chunk of a glioblastoma tumor — and they help it grow, hide from treatment, and resist [...]
Bone metastasis is common across cancer types, but what's happening at the cellular level inside those lesions has been hard to map. This dataset uses [...]
A new single-cell RNA-sequencing dataset provides in-depth profiling of estrogen receptor (ER)-positive primary and metastatic breast cancer tumors from 23 patients, offering insight into [...]
We’re excited to share the dataset “Impact of Post-Lysis Stopping Point Prior to Reverse Transcription,” generated using the newly developed particle-templated instant partition sequencing [...]
AMICI (Advanced Multilanguage Interface for CVODES and IDAS) is a high-performance Python and C++ interface for solving large-scale ordinary and algebraic differential equation models. It provides [...]
Targeted therapies for melanoma, like BRAF and MEK inhibitors, can shrink tumors but often fail to completely eliminate all cancer cells. A small group [...]
From Brown et al. (https://pubmed.ncbi.nlm.nih.gov/38471099/), this dataset investigates the epithelial to mesenchymal transition (EMT) in pancreatic cancer. EMT is believed to correlate with metastatic [...]
This dataset investigates the effectiveness of p53 reactivation in treating glioblastoma. They achieve this by treating multiple patients with differing levels of MDM2 inhibitor [...]
Structural Basis for Self-Discrimination by Neoantigen-Specific TCRs This study highlights the RNA sequencing and whole exome sequencing data associated with the investigation of a [...]
Patient advocates bring essential perspectives to cancer research and are involved in several consortia associated with the MC2 Center. To support their efforts, as [...]