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New map connects the dots in cellular reprogramming, genetic insights into sleep timing preferences, immune cells sorted with microfluidics and more.

Biopsies taken before and after treatment reveal new resistance route, as well as an opportunity to resensitize metastatic breast cancers to therapy.

Using a new model dubbed DEMETER2, the ӳ����ý's Cancer Dependency Map team has compiled the largest dataset of genetic dependencies in cancer to date.

Laboratory study suggests that thalidomide-like drugs could be designed to target a broad array of transcription factors, and open a new landscape of cancer drug development.

Study may help predict patient response, reduce treatment resistance

Passing on participation, whether cancer mutation hotspots are really that hot, and pinpointing key autoimmunity variants.

In explaining why mutations in the gene TP53 tend to cluster in “hot spots,” a new study lays the groundwork for ability to identify the function of any mutation in any cancer gene.

Risk scores arise, scrutinizing cells' nutrient sensors, learning about lncRNAs, and more.

Researchers predicted these cancer-specific peptides, dubbed "retained intron" neoantigens, by computationally sifting through melanoma patients' tumor RNA.

Long thought to be genetically stable and identical, cancer cell lines harbor significant levels of genetic variation, which may help explain why it can be hard to reproduce findings in cell line-based research.