Faculty Bibliography

All vertebrate eggs are surrounded by an extracellular coat that supports growth of oocytes, protects oocytes, eggs, and early embryos, and participates in the process of fertilization. In mammals (platypus to human beings) the coat is called a zona pellucida (ZP) and in non-mammals (molluscs to birds), a vitelline envelope (VE). The ZP and VE are composed of just a few proteins that are related to one another and possess a common motif, called the zona pellucida domain (ZPD). The ZPD arose more than ~600 million years ago, consists of ~260 amino acids, and has 8 conserved Cys residues that participate in 4 intramolecular disulfides. It is likely that egg-coat proteins are derived from a common ancestral gene. This gene duplicated several times during evolution and gave rise to 3-4 genes in fish, 5 genes in amphibians, 6 genes in birds, and 3-4 genes in mammals. Some highly divergent sequences, N- and C-terminal to the ZPD, have been identified in egg-coat proteins and some of these sequences may be under positive Darwinian selection that drives evolution of the proteins. These and other aspects of egg-coat proteins, including their structure and synthesis, are addressed in this review.

Cryo-electron microscopy projection image analysis and tomography is used to describe the overall architecture of influenza B/Lee/40. Algebraic reconstruction techniques with utilization of volume elements (blobs) are employed to reconstruct tomograms of this pleomorphic virus and distinguish viral surface spikes. The purpose of this research is to examine the architecture of influenza type B virions by cryo-electron tomography and projection image analysis. The aims are to explore the degree of ribonucleoprotein disorder in irregular shaped virions; and to quantify the number and distribution of glycoprotein surface spikes (hemagglutinin and neuraminidase) on influenza B. Projection image analysis of virion morphology shows that the majority ( approximately 83%) of virions are spherical with an average diameter of 134+/-19 nm. The aspherical virions are larger (average diameter = 155+/-47 nm), exhibit disruption of the ribonucleoproteins, and show a partial loss of surface protein spikes. A count of glycoprotein spikes indicates that a typical 130 nm diameter type B virion contains approximately 460 surface spikes. Configuration of the ribonucleoproteins and surface glycoprotein spikes are visualized in tomogram reconstructions and EM densities visualize extensions of the spikes into the matrix. The importance of the viral matrix in organization of virus structure through interaction with the ribonucleoproteins and the anchoring of the glycoprotein spikes to the matrix is demonstrated.

I entered the field of cell biology during its formative phase and contributed technical advances in electron microscopy that gave new insights into the physiological roles of subcellular compartments. I concentrated for many years on the structure and function of the rough endoplasmic reticulum where I aimed at explaining mechanistically how the functional specialization of ribosomes bound to the endoplasmic reticulum membranes is achieved. This work eventually led to the formulation of the signal hypothesis with Gunter Blobel in 1971. Subsequently, my laboratory contributed to the birth of the field of protein traffic with the demonstration that membrane-bound ribosomes in the ER are also responsible for the synthesis of membrane and luminal proteins destined to other subcellular compartments, pointing to the existence of sorting signals in the newly synthesized polypeptides and corresponding discriminating trafficking mechanisms. I have derived great satisfaction from the fact that some of the work I will present, including the introduction with M. Cerejido of the MDCK cell line to study the development and properties of polarized epithelia and the discovery with Rodriguez-Boulan of the polarized budding of enveloped viruses, has helped many laboratories to continue to explore the fascinating mechanisms that contribute to generate the complex organization of eukaryotic cells

This review focuses on recent experimental and modeling studies that attempt to define the physiological context in which high linear energy transfer (LET) radiation increases epithelial cancer risk and the efficiency with which it does so. Radiation carcinogenesis is a two-compartment problem: ionizing radiation can alter genomic sequence as a result of damage due to targeted effects (TE) from the interaction of energy and DNA; it can also alter phenotype and multicellular interactions that contribute to cancer by poorly understood non-targeted effects (NTE). Rather than being secondary to DNA damage and mutations that can initiate cancer, radiation NTE create the critical context in which to promote cancer. Systems biology modeling using comprehensive experimental data that integrates different levels of biological organization and time-scales is a means of identifying the key processes underlying the carcinogenic potential of high-LET radiation. We hypothesize that inflammation is a key process, and thus cancer susceptibility will depend on specific genetic predisposition to the type and duration of this response. Systems genetics using novel mouse models can be used to identify such determinants of susceptibility to cancer in radiation sensitive tissues following high-LET radiation. Improved understanding of radiation carcinogenesis achieved by defining the relative contribution of NTE carcinogenic effects and identifying the genetic determinants of the high-LET cancer susceptibility will help reduce uncertainties in radiation risk assessment.

T cells play a critical role in host defense against viruses, intra- and extracellular microbes, and tumors. Because foreign antigen is presented amongst a vast majority of self-antigens, T cells have evolved the unique ability to discriminate "self" from "non-self" with high sensitivity and selectivity, enabling the elimination of foreign pathogens while largely avoiding self-reactivity. However, tissue-specific autoimmunity and tolerance to or eradication of cancer does not fit neatly into the self/non-self paradigm because the T cell responses in these situations are not directed to an exogenous pathogen, but rather most often to non-mutated self-proteins. Therefore, an important question is how the immune system establishes suitable thresholds that allow positively selected T cells to interact with selfligands in the periphery without causing overt activation. One hypothesis to explain how a T cell distinguishes among different types of self-ligands is the kinetic proof-reading theory, which relates signaling efficacy to the lifetime of the TCR (T cell receptor)-pMHC (peptide-major histocompatibility complex) interaction. More recently, T cell maturation associated signaling feedback pathways have also been hypothesized to play a role in T cell discrimination of between self-ligands. We are taking a variety of biophysical and cellular imaging approaches to determine how specific thresholds for T cell recognition of self-antigens are set. Our recent results [1] indicate that antitumor activity and autoimmunity are coupled and have a similar kinetic threshold; reducing autoimmunity cannot be accomplished without sacrificing efficacy of tumor killing. Therefore, an "optimal TCR affinity range" that leads to optimal tumor regression and minimal autoimmunity is elusive and treatment strategies focusing on increasing TCR affinities to a supraphysiological level has most likely little therapeutic benefit. Therefore, other approaches are needed to improve the balance between anti-tumor responses and autoimmunity. Our strategy to overcome this issue includes novel methods for careful biophysical engineering of tumor-specific TCRs to carefully balance tumorreactivity and autoimmunity. Furthermore, our recent preliminary data show that TCR-proximal signaling differs significantly between effector memory and central memory T cells due to differential constitutive activity and localization of signaling molecules. Understanding how activation signaling contributes to differences in memory T cell subset sensitivity may provide insight into how T cells can be manipulated to achieve optimal anti-tumor sensitivity. This could lead to adjuvants that target and enhance antigenspecific T cell anti-tumor efficacy. Together may lead to development of cancer immunotherapy approaches with improved outcomes