Highlights of new data, tools and resources on the Cancer Complexity Knowledge Portal
More than 10 million cancer mutations in TCGA have no known functional effect. Rather than characterizing each one experimentally, this dataset uses transcription factor [...]
One of the persistent problems in AML is that leukemia cells don't all die from chemotherapy; some survive, go quiet, and eventually drive relapse. [...]
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 [...]