2019 - Updates & Insights Blog

UMAP plot of single-cell RNA sequencing data

From Variants to Functions: New Strategies for the Interpretation of Cancer Genomes

By JT Neal, Ph.D., Jesse S. Boehm, Ph.D., and William C. Hahn, M.D., Ph.D.
March 1, 2019

A key bottleneck in precision oncology is the lack of knowledge of the function of most cancer variants. CTD2 Network researchers discuss cellular profiling methods to assess the functional impact of variants.

Human Cancer Models Initiative’s Searchable Catalog of Cancer Models

By Cindy Kyi, Ph.D., Eva Tonsing-Carter, Ph.D., and Lauren Hurd, Ph.D.
March 1, 2019

In HCMI's interactive, searchable online catalog, users can query, view, and download model-associated data. HCMI is developing next-generation cancer models from several cancer types including rare cancers.

Visualizations of drug sensitivity data highlighting a known interaction between a FLT3 mutation and the inhibitor Entospletinib.

Beat AML 1.0: A Collaborative Program for Functional Genomic Data Integration

By Jeffrey W. Tyner, Ph.D.
February 11, 2019

The Beat AML project integrates molecular, drug response, and clinical data for progress towards individualized therapies for acute myeloid leukemia patients. Dr. Jeffrey Tyner from Oregon Health and Science University describes the collaborative effort.

General experimental workflow for single-cell RNA sequencing of human tumors.

Brain Tumors Through the Single-Cell RNA Sequencing Lens: Researcher Interview with Mario Suvà

By Peggy I. Wang
January 15, 2019

Brain cancers are notoriously hard to study, model, and treat. Dr. Mario Suvà speaks about how single-cell RNA sequencing is helping researchers gain clarity on the origins, development, and response to treatment for these cancers.