The Weinberger Lab is always open to collaborative projects with interested laboratories. We have established expertise in quantitative and synthetic analyses of cell-fate circuits in viruses and other systems.  The lab's particular strengths lay in:

• Quantitative time-lapse microscopy (of gene expression and of viral infections)

• Construction and design of synthetic fate-selection circuits

• Design of novel cell-based therapeutic screens

• Modeling & simulation of infection dynamics across multiple scales (single cell, patient, and epidemiological scales)

• Viral latency & evolution

Below are some examples of our most recent collaborations and publications with other investigators.

ReCent Collaborative Projects

• Michael L. Simpson, PhD., University of Tennessee, Knoxville and ORNL

  • An Endogenous Accelerator for Viral Gene Expression Provides a Fitness Advantage. Cell.

  • Transcriptional burst frequency and burst size are equally modulated across the human genome. PNAS

  • Transcriptional bursting from the HIV-1 promoter is a significant source of stochastic noise in HIV-1 gene expression. Biophys J.

  • Transient-mediated fate determination in a transcriptional circuit of HIV. Nat Genet.

  • The Low Noise Limit in Gene Expression. PLoS ONE

• Robert F. Siliciano, MD, PhD., HHMI Investigator, The Johns Hopkins University

  • Screening for noise in gene expression identifies drug synergies. Science.

  • BET bromodomain-targeting compounds reactivate HIV from latency via a Tat-independent mechanism. Cell Cycle.

• Michelle Arkin, PhD., University of California, San Francisco

  • Screening for noise in gene expression identifies drug synergies. Science.

• Ariel Weinberger, PhD., Wyss Institute Harvard University

  • An Evolutionary Role for HIV Latency in Enhancing Viral Transmission. Cell.

  • The case for transmissible antivirals to control population-wide infectious disease. Trends in Biotechnology. Cell Press.

  • Stochastic Fate Selection in HIV-infected Patients. Cell.

  • Accelerated immunodeficiency by anti-CCR5 treatment in HIV infection. PloS Comput Biol.

• Roy Dar, PhD., University of Illinois at Urbana-Champaign

  • Transcriptional Bursting Explains the Noise-Versus-Mean Relationship in mRNA and Protein Levels. PLoS ONE