Events for May 21, 2021 - April 1, 2021

TITLE: "A simple, two-step, multivalent binding model predicts IL-2 mutein cell signaling profiles." ABSTRACT: The common γ-chain cytokines are promising immune therapies, but have been limited in their efficacy due to their induction of non-specific immune activation. Here, we visualized immune cell response to both mono- and multivalent γ-chain muteins using a structured dimensionality reduction scheme. […]

TITLE: "Multimodal radiomic analysis of biparametric MRI to predict biochemical recurrence after radical prostatectomy." ABSTRACT: Integration of information across multiple modalities and biological scales has the potential to improve the prediction of disease outcomes and response to treatments. In this talk, I will discuss our ongoing work to predict prostate cancer aggressiveness by combining information from biparametric […]

Associate director, Gerstner Center for Cancer Diagnostics, Broad Institute “Ultrasensitive detection of minimal residual disease” Hosted by Jasmine Zhou

TITLE: "Genome-wide survey of mutations influencing protein abundances in yeast" ABSTRACT: Our understanding of how protein-level regulation is encoded in the genome and how protein abundances are affected by DNA sequence variation remains sparse. I will discuss our genetic screen based on large-scale pooled base editing that allows us to capture the effects of thousands […]

TITLE: "Unbiased analysis of single cell RNA sequencing data reveals previously uncharacterized heterogeneity in small cell lung cancer cell lines." ABSTRACT: Small Cell Lung Cancer (SCLC) accounts for approximately 13% of all new lung cancer diagnoses. SCLC exhibits propensity for early metastasis, rapid cell division, high levels of replication stress, the ability to cope with […]

Associate Professor, Biostatistics & Bioinformatics, Center for Genomic and Computational Biology, Duke University “TBD” Hosted by Jason Ernst

TITLE: “Large uncertainty in individual PRS estimation impacts PRS-based risk stratification.” ABSTRACT: Large-scale genome-wide association studies have enabled polygenic risk scores (PRS), which estimate the genetic value of an individual for a given trait. Since PRS accuracy is typically assessed using cohort-level metrics, uncertainty in PRS estimates at individual level remains underexplored. In this talk, […]