Faculty Bibliography

Plasminogen activator inhibitor type 1 (PAI-1) is a multifunctional protein that has important roles in inflammation and wound healing. Its aberrant regulation may contribute to many disease processes such as heart disease. The PAI-1 promoter is responsive to multiple inputs including cytokines, growth factors, steroids and oxidative stress. The statin drugs, atorvastatin, mevastatin and rosuvastatin, increased basal and stimulated expression of the PAI-1 promoter 3-fold. A statin-responsive, nuclear hormone response element was previously identified in the PAI-1 promoter, but it was incompletely characterized. We characterized this direct repeat (DR) of AGGTCA with a 3-nucleotide spacer at -269/-255 using deletion and directed mutagenesis. Deletion or mutation of this element increased basal transcription from the promoter suggesting that it repressed PAI-1 transcription in the unliganded state. The half-site spacing and the ligand specificity suggested that this might be a pregnane X receptor (PXR) responsive element. Computational molecular docking showed that atorvastatin, mevastatin and rosuvastatin were structurally compatible with the PXR ligand-binding pocket in its agonist conformation. Experiments with Gal4 DNA binding domain fusion proteins showed that Gal4-PXR was activated by statins while other DR + 3 binding nuclear receptor fusions were not. Overexpression of PXR further enhanced PAI-1 transcription in response to statins. Finally, ChIP experiments using Halo-tagged PXR and RXR demonstrated that both components of the PXR-RXR heterodimer bound to this region of the PAI-1 promoter.

Most drugs exert their beneficial and adverse effects through their combined action on several different molecular targets (polypharmacology). The true molecular fingerprint of the direct action of a drug has two components: the ensemble of all the receptors upon which a drug acts and their level of expression in organs/tissues. Conversely, the fingerprint of the adverse effects of a drug may derive from its action in bystander tissues. The ensemble of targets is almost always only partially known. Here we describe an approach improving upon and integrating both components: in silico identification of a more comprehensive ensemble of targets for any drug weighted by the expression of those receptors in relevant tissues. Our system combines more than 300,000 experimentally determined bioactivity values from the ChEMBL database and 4.2 billion molecular docking scores. We integrated these scores with gene expression data for human receptors across a panel of human tissues to produce drug-specific tissue-receptor (historeceptomics) scores. A statistical model was designed to identify significant scores, which define an improved fingerprint representing the unique activity of any drug. These multi-dimensional historeceptomic fingerprints describe, in a novel, intuitive, and easy to interpret style, the holistic, in vivo picture of the mechanism of any drug's action. Valuable applications in drug discovery and personalized medicine, including the identification of molecular signatures for drugs with polypharmacologic modes of action, detection of tissue-specific adverse effects of drugs, matching molecular signatures of a disease to drugs, target identification for bioactive compounds with unknown receptors, and hypothesis generation for drug/compound phenotypes may be enabled by this approach. The system has been deployed at drugable.org for access through a user-friendly web site.

The T cell receptor (TCR)-cluster of differentiation 3 (CD3) signaling complex plays an important role in initiation of adaptive immune responses, but weak interactions have obstructed delineation of the individual TCR-CD3 subunit interactions during T cell signaling. Here, we demonstrate that unnatural amino acids (UAA) can be used to photo-cross-link subunits of TCR-CD3 on the cell surface. Incorporating UAA in mammalian cells is usually a low efficiency process. In addition, TCR-CD3 is composed of eight subunits and both TCR and CD3 chains are required for expression on the cell surface. Photo-cross-linking of UAAs for studying protein complexes such as TCR-CD3 is challenging due to the difficulty of transfecting and expressing multisubunit protein complexes in cells combined with the low efficiency of UAA incorporation. Here, we demonstrate that by systematic optimization, we can incorporate UAA in TCR-CD3 with high efficiency. Accordingly, the incorporated UAA can be used for site-specific photo-cross-linking experiments to pinpoint protein interaction sites, as well as to confirm interaction sites identified by X-ray crystallography. We systemically compared two different photo-cross-linkers-p-azido-phenylalanine (pAzpa) and H-p-Bz-Phe-OH (pBpa)-for their ability to map protein subunit interactions in the 2B4 TCR. pAzpa was found to have higher cross-linking efficiency, indicating that optimization of the selection of the most optimal cross-linker is important for correct identification of protein-protein interactions. This method is therefore suitable for studying interaction sites of large, dynamic heteromeric protein complexes associated with various cellular membrane systems.

We designed synthetic, epitope-focused immunogens that preferentially display individual neutralization epitopes targeted by cross-subtype anti-HIV V3 loop neutralizing monoclonal antibodies (mAbs). Vaccination of rabbits with these immunogens resulted in the elicitation of distinct polyclonal serum Abs that exhibit cross-subtype neutralization specificities mimicking the mAbs that guided the design. Our results prove the principle that a predictable range of epitope-specific polyclonal cross-subtype HIV-1 neutralizing Abs can be intentionally elicited in mammals by vaccination. The precise boundaries of the epitopes and conformational flexibility in the presentation of the epitopes in the immunogen appeared to be important for successful elicitation. This work may serve as a starting point for translating the activities of human broadly neutralizing anti-HIV-1 monoclonal antibodies (bNAbs) into matched immunogens that can contribute to an efficacious HIV-1 vaccine.

Adoptive immunotherapy with Ag-specific T lymphocytes is a powerful strategy for cancer treatment. However, most tumor Ags are nonreactive "self" proteins, which presents an immunotherapy design challenge. Recent studies have shown that tumor-specific TCRs can be transduced into normal PBLs, which persist after transfer in approximately 30% of patients and effectively destroy tumor cells in vivo. Although encouraging, the limited clinical responses underscore the need for enrichment of T cells with desirable antitumor capabilities prior to patient transfer. In this study, we used structure-based design to predict point mutations of a TCR (DMF5) that enhance its binding affinity for an agonist tumor Ag-MHC (peptide-MHC [pMHC]), Mart-1 (27L)-HLA-A2, which elicits full T cell activation to trigger immune responses. We analyzed the effects of selected TCR point mutations on T cell activation potency and analyzed cross-reactivity with related Ags. Our results showed that the mutated TCRs had improved T cell activation potency while retaining a high degree of specificity. Such affinity-optimized TCRs have demonstrated to be very specific for Mart-1 (27L), the epitope for which they were structurally designed. Although of somewhat limited clinical relevance, these studies open the possibility for future structural-based studies that could potentially be used in adoptive immunotherapy to treat melanoma while avoiding adverse autoimmunity-derived effects.

The immune-correlates analysis of the RV144 trial suggested that epitopes targeted by protective antibodies (Abs) reside in the V1V2 domain of gp120. We mapped V1V2 positional sequence variation onto the conserved V1V2 structural fold and showed that while most of the solvent accessible V1V2 amino acids vary between strains, there are two accessible molecular surface regions that are conserved and also naturally antigenic. These sites may contain epitopes targeted by broadly cross-reactive anti-V1V2 antibodies.

Many of the gene mutations found in genetic disorders, including cancer, result in premature termination codons (PTC) and the rapid degradation of their mRNAs by nonsense-mediated RNA decay (NMD). We used virtual library screening, targeting a pocket in the SMG7 protein, a key component of the NMD mechanism, to identify compounds that disrupt the SMG7-UPF1 complex and inhibit NMD. Several of these compounds upregulated NMD-targeted mRNAs at nanomolar concentrations, with minimal toxicity in cell-based assays. As expected, pharmacologic NMD inhibition disrupted SMG7-UPF1 interactions. When used in cells with PTC-mutated p53, pharmacologic NMD inhibition combined with a PTC "read-through" drug led to restoration of full-length p53 protein, upregulation of p53 downstream transcripts, and cell death. These studies serve as proof-of-concept that pharmacologic NMD inhibitors can restore mRNA integrity in the presence of PTC and can be used as part of a strategy to restore full-length protein in a variety of genetic diseases. Cancer Res; 74(11); 3104-13. (c)2014 AACR.

Adoptive immunotherapy with antigen-specific T lymphocytes is a powerful strategy for cancer treatment. However, most tumor antigens are nonreactive "self" proteins, which presents an immunotherapy design challenge. Studies have shown that tumor-specific T cell receptors (TCRs) can be transduced into normal peripheral blood lymphocytes, which persist after transfer in about 30% of patients and effectively destroy tumor cells. Still, recent clinical trial with affinity-enhanced TCRs has resulted in severe effects due to cross reactivity to an unrelated peptide. Thus, the challenge for targeted T cell therapy remains to increase T cell potency in order to improve clinical responses and ensure on-target specificity by avoiding unwanted cross reactivity. We used structure-based design to predict point mutations of a TCR (DMF5) that enhance its binding affinity for an agonist tumor differentiation antigen-major histocompatibility complex (pMHC), Mart-1(27L)-HLA-A2, which elicits full T cell activation to trigger immune responses. Structural based approaches have been used to increase TCR affinity, however their potential cross-reactivity has not been reported. Here, we analyzed the effects of selected TCR point mutations alone and in combination on T cell activation potency. Further, we analyzed their specificity and cross-reactivity with related antigens presented by different melanoma cell lines and donor-derived antigen presenting cells. Our structure-based approach allowed us to rationally design sequence substitutions that improve binding in contact areas between the TCR and pMHC without increasing cross-reactivity with a wide variety of self-antigens. We identified and evaluated point mutations in critical TCR positions resulting in more potent T cell activation but maintaining overall specificity. When double and triple combination mutations were introduced, they exhibited an additive enhancement that further improved T cell activation while retaining a high degree of specificity. Conclusions: Such affinity-optimized TCRs could potentially be used in adoptive immunotherapy to treat melanoma while minimizing adverse autoimmunity effects

The extreme diversity of HIV-1 strains presents a formidable challenge for HIV-1 vaccine design. Although antibodies (Abs) can neutralize HIV-1 and potentially protect against infection, antibodies that target the immunogenic viral surface protein gp120 have widely variable and poorly predictable cross-strain reactivity. Here, we developed a novel computational approach, the Method of Dynamic Epitopes, for identification of neutralization epitopes targeted by anti-HIV-1 monoclonal antibodies (mAbs). Our data demonstrate that this approach, based purely on calculated energetics and 3D structural information, accurately predicts the presence of neutralization epitopes targeted by V3-specific mAbs 2219 and 447-52D in any HIV-1 strain. The method was used to calculate the range of conservation of these specific epitopes across all circulating HIV-1 viruses. Accurately identifying an Ab-targeted neutralization epitope in a virus by computational means enables easy prediction of the breadth of reactivity of specific mAbs across the diversity of thousands of different circulating HIV-1 variants and facilitates rational design and selection of immunogens mimicking specific mAb-targeted epitopes in a multivalent HIV-1 vaccine. The defined epitopes can also be used for the purpose of epitope-specific analyses of breakthrough sequences recorded in vaccine clinical trials. Thus, our study is a prototype for a valuable tool for rational HIV-1 vaccine design.