Coban, Mathew A

Single-minded homologue 1 (SIM1) is a transcription factor with numerous different physiological and developmental functions. SIM1 is a member of the class I basic helix-loop-helix-PER-ARNT-SIM (bHLH–PAS) transcription factor family, that includes several other conserved proteins, including the hypoxia-inducible factors, aryl hydrocarbon receptor, neuronal PAS proteins, and the CLOCK circadian regulator. Recent studies of HIF-a-ARNT and CLOCK-BMAL1 protein complexes have revealed the organization of their bHLH, PASA, and PASB domains and provided insight into how these heterodimeric protein complexes form; however, experimental structures for SIM1 have been lacking. Here, we describe the first full-length atomic structural model for human SIM1 with its binding partner ARNT in a heterodimeric complex and analyze several pathogenic variants utilizing state-of-the-art simulations and algorithms. Using local and global positional deviation metrics, deductions to the structural basis for the individual mutants are addressed in terms of the deleterious structural reorganizations that could alter protein function. We propose new experiments to probe these hypotheses and examine an interesting SIM1 dynamic behavior. The conformational dynamics demonstrates conformational changes on local and global regions that represent a mechanism for dysfunction in variants presented. In addition, we used our ab initio hybrid model for further prediction of variant hotspots that can be engineered to test for counter variant (restoration of wild-type function) or basic research probe.

We are presenting our on going studies with inhibitory research on Tmprss2, S-protein:Ace2, and 3CLpro using compound screening coupled with X-ray crystallography, molecular modeling, live virus screening using host human cells (BSL3 facility at UC Center for Infectious Disease and Vector Research, and organ-on-a-chip at Harvard Medical School for safety profiling before proceeding to animal models with InVivo BioSystems for ADMET. We have derived a useful chemical toolkit of 350 compounds for the community to study with biochemical assays and other biophysical-chemical studies that will prove useful in searching for optimal inhibitors of these targets to find suitable pharmacophores for blocking each of these enzyme's activities -- that would be beneficial for human health. Our past successes with these methodologies have resulted in over 28 patents, 11 technologies and two startup companies.

:Diseases are often caused by mutant proteins. Many drugs have limited effectiveness and/or toxic side effects because of a failure to selectively target the disease-causing mutant variant, rather than the functional wild type protein. Otherwise, the drugs may even target different proteins with similar structural features. Designing drugs that successfully target mutant proteins selectively represents a major challenge. Decades of cancer research have led to an abundance of potential therapeutic targets, often touted to be “master regulators”. For many of these proteins, there are no FDA-approved drugs available; for others, off-target effects result in dose-limiting toxicity. Cancer-related proteins are an excellent medium to carry the story of mutant-specific targeting, as the disease is both initiated and sustained by mutant proteins; furthermore, current chemotherapies generally fail at adequate selective distinction. This review discusses some of the challenges associated with selective targeting from a structural biology perspective, as well as some of the developments in algorithm approach and computational workflow that can be applied to address those issues. One of the most widely researched proteins in cancer biology is p53, a tumor suppressor. Here, p53 is discussed as a specific example of a challenging target, with contemporary drugs and methodologies used as examples of burgeoning successes. The oncogene KRAS, which has been described as “undruggable”, is another extensively investigated protein in cancer biology. This review also examines KRAS to exemplify progress made towards selective targeting of diseasecausing mutant proteins. Finally, possible future directions relevant to the topic are discussed.

In-frame decoding in the ribosome occurs through canonical or wobble Watson–Crick pairing of three mRNA codon bases (a triplet) with a triplet of anticodon bases in tRNA. Departures from the triplet–triplet interaction can result in frameshifting, meaning downstream mRNA codons are then read in a different register. There are many mechanisms to induce frameshifting, and most are insufficiently understood. One previously proposed mechanism is doublet decoding, in which only codon bases 1 and 2 are read by anticodon bases 34 and 35, which would lead to −1 frameshifting. In E. coli, tRNASer3GCU can induce −1 frameshifting at alanine (GCA) codons. The logic of the doublet decoding model is that the Ala codon’s GC could pair with the tRNASer3′s GC, leaving the third anticodon residue U36 making no interactions with mRNA. Under that model, a U36C mutation would still induce −1 frameshifting, but experiments refute this. We perform all-atom simulations of wild-type tRNASer3, as well as a U36C mutant. Our simulations revealed a hydrogen bond between U36 of the anticodon and G1 of the codon. The U36C mutant cannot make this interaction, as it lacks the hydrogen-bond-donating H3. The simulation thus suggests a novel, non-doublet decoding mechanism for −1 frameshifting by tRNASer3 at Ala codons.

Abstract Ovarian cancer remains a challenging disease, with an average 5 year survival rate of 46%. At time of diagnosis, over 70% of patients have advanced metastatic disease, for which there are no effective treatment options. Of patients with metastatic disease, more than 70% of patients develop peritoneal carcinomatosis, making the peritoneum one of the main areas of dissemination. We have previously found that expression of the serine protease inhibitor Kazal type 1 (SPINK1) by ovarian cancer cells drives anoikis resistance, allowing the tumor cells to circumvent apoptosis protocols and facilitating tumor cell metastasis. For this new study we focused on ovarian clear cell carcinoma (OCCC), a histotype of ovarian cancer that has particularly poor prognosis if diagnosed in late stage. Using OCCC cell lines, we found that knockdown of SPINK1 reduces cell survival and stimulates apoptotic pathways in OCCC cells, when cultured under attachment-free conditions to mimic metastatic disease. We then identified Interleukin-6 (IL-6) as an upstream regulator of SPINK1 expression and a potential therapeutic target for metastatic OCCC: we showed that IL-6 silencing reduced SPINK1 mRNA expression and cell survival, while treatment with recombinant IL-6 increased SPINK1 expression and attachment-free survival. We developed a new OCCC mouse model and showed that knockdown of SPINK1 results in significant reduction of metastatic lesions, highlighting the impact of SPINK1 on OCCC metastasis. In ongoing studies we are testing intraperitoneal injections of FDA approved IL-6 inhibitors in a preclinical model to assess impact on abdominal dissemination of tumor cells. By targeting the IL-6 – SPINK1 signaling axis, we aim to develop therapeutic approaches to reduce the metastatic burden and peritoneal carcinomatosis of late stage disease, resulting in better prognosis and survival of patients with ovarian clear cell carcinoma. Citation Format: Christine Mehner, Erin Miller, Mathew A. Coban, Alexandra Hockla, Derek C. Radisky, Evette S. Radisky. Targeting ovarian cancer induced peritoneal carcinomatosis by inhibition of signaling axis between Interleukin-6 (IL-6) and serine protease inhibitor Kazal type 1 (SPINK1) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3758.

Abstract Patients diagnosed with ovarian cancer face an average 5 year survival rate of 46%; low survival is driven by early and ongoing intraperitoneal dissemination and metastasis of the tumor. Among the different histotypes of ovarian cancer, ovarian clear cell carcinoma (OCCC) has a particularly poor prognosis when diagnosed in late stage, as these tumors tend to be chemoresistant, leaving no effective therapeutic options. Intraperitoneal metastasis requires cells to become anoikis resistant, where apoptosis normally induced by loss of attachment is suppressed. We seek to better understand the mechanisms involved in anoikis resistance in OCCC, which in the future could lead to new therapeutic strategies for these patients. We have found that Serine Protease Inhibitor Kazal type 1 (SPINK1), an endogenous inhibitor of trypsin like serine proteases, is also an important regulator of anoikis resistance in some ovarian cancers. In this study, we aimed to dissect the role of SPINK1 specifically in OCCC, defining its contribution to anoikis resistance using cultured OCCC cell lines and elucidating its mechanism of action. We compared anoikis resistance of cells with endogenous SPINK1 expression versus cells in which SPINK1 was silenced using lentiviral shRNA constructs, when culturing cells on ultra-low attachment plates to mimic cell detachment from the extracellular matrix. We found that knockdown of SPINK1 reduced survival and stimulated apoptotic pathways in OCCC cells grown under detached conditions, implicating SPINK1 in anoikis resistance of OCCC cells. As a secreted protease inhibitor, SPINK1 may be expected to confer anoikis resistance by inhibiting an extracellular serine protease involved in triggering anoikis. Because many proteases represent potential targets of SPINK1, we have designed a strategy using Activity Based Protein Profiling (ABPP) to discover the targets of SPINK1 from among this large pool of candidates. In pilot studies, we have successfully used a novel activity-based probe to covalently label the active sites of serine proteases secreted from OCCC cells. In ongoing efforts, we are optimizing methods to identify labeled proteases with high sensitivity using tandem mass spectrometry. We will then identify those proteases regulated by SPINK1 through comparison of labeled proteomes from OCCC cells with and without SPINK1 treatment,, and candidate proteases will be further analyzed for their role in triggering anoikis. The identification of SPINK1 regulated proteases that are responsible for mediating anoikis in our models will give insight into important mechanisms whereby tumor cells acquire resistance to anoikis in OCCC. In-depth understanding of anoikis resistance, a critical component of ovarian cancer progression and metastasis, may lead to novel biomarkers of disease progression as well as important therapeutic targets. Citation Format: Christine Mehner, Mathew A. Coban, Alexandra Hockla, Derek C. Radisky, Evette S. Radisky. Serine protease inhibitor Kazal type 1 (SPINK1) drives anoikis resistance in ovarian clear cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 442.