Osteoarthritis (OA) is a degenerative joint disease that involves the destruction of articular cartilage and eventually leads to disability. Molecules that promote the selective differentiation of multipotent mesenchymal stem cells (MSCs) into chondrocytes may stimulate the repair of damaged cartilage. Using an image-based high-throughput screen, we identified the small molecule kartogenin, which promotes chondrocyte differentiation (median effective concentration = 100 nM), shows chondroprotective effects in vitro, and is efficacious in two OA animal models. Kartogenin binds filamin A, disrupts its interaction with the transcription factor core-binding factor β subunit (CBFβ), and induces chondrogenesis by regulating the CBFβ-RUNX1 transcriptional program. This work provides new insights into the control of chondrogenesis that may ultimately lead to a stem cell-based therapy for osteoarthritis.
Intratumoral (IT) STING activation results in tumor regression in preclinical models, yet factors dictating the balance between innate and adaptive anti-tumor immunity are unclear. Here, clinical candidate STING agonist ADU-S100 (S100) is used in an IT dosing regimen optimized for adaptive immunity to uncover requirements for a T cell-driven response compatible with checkpoint inhibitors (CPIs). In contrast to highdose tumor ablative regimens that result in systemic S100 distribution, low-dose immunogenic regimens induce local activation of tumor-specific CD8 + effector T cells that are responsible for durable anti-tumor immunity and can be enhanced with CPIs. Both hematopoietic cell STING expression and signaling through IFNAR are required for tumor-specific T cell activation, and in the context of optimized T cell responses, TNFa is dispensable for tumor control. In a poorly immunogenic model, S100 combined with CPIs generates a survival benefit and durable protection. These results provide fundamental mechanistic insights into STING-induced anti-tumor immunity.
A highly efficient method has been developed for the solid-phase synthesis of an "unnatural biopolymer" consisting of chiral aminocarbonate monomers linked via a carbamate backbone. Oligocarbamates were synthesized from N-protected p-nitrophenyl carbonate monomers, substituted with a variety of side chains, with greater than 99 percent overall coupling efficiencies per step. A spatially defined library of oligocarbamates was generated by using photochemical methods and screened for binding affinity to a monoclonal antibody. A number of high-affinity ligands were then synthesized and analyzed in solution with respect to their inhibition concentration values, water/octanol partitioning coefficients, and proteolytic stability. These and other unnatural polymers may provide new frameworks for drug development and for testing theories of protein and peptide folding and structure.
Purpose: The cancer stem cell hypothesis predicts that standard prostate cancer monotherapy eliminates bulk tumor cells but not a tumor-initiating cell population, eventually leading to relapse. Many studies have sought to determine the underlying differences between bulk tumor and cancer stem cells.Experimental Design: Our previous data suggest that the PTEN/PI3K/AKT pathway is critical for the in vitro maintenance of CD133 þ /CD44 þ prostate cancer progenitors and, consequently, that targeting PI3Ksignaling may be beneficial in treatment of prostate cancer.Results: Here, we show that inhibition of PI3K activity by the dual PI3K/mTOR inhibitor NVP-BEZ235 leads to a decrease in the population of CD133þ prostate cancer progenitor cells in vivo. Moreover, the combination of the PI3K/mTOR modulator NVP-BEZ235, which eliminates prostate cancer progenitor populations, and the chemotherapeutic drug Taxotere, which targets the bulk tumor, is significantly more effective in eradicating tumors in a prostate cancer xenograft model than monotherapy.Conclusion: This combination treatment ultimately leads to the expansion of cancer progenitors with a PTEN E91D mutation, suggesting that the analysis of PTEN mutations could predict therapeutic response to the dual therapy. Clin Cancer Res; 16(23); 5692-702. Ó2010 AACR.
Embryonic stem cells (ESCs) are an attractive source of cells for disease modeling in vitro and may eventually provide access to cells/tissues for the treatment of many degenerative diseases. However, applications of ESC-derived cell types are largely hindered by the lack of highly efficient methods for lineage-specific differentiation. Using a high-content screen, we have identified a small molecule, named stauprimide, that increases the efficiency of the directed differentiation of mouse and human ESCs in synergy with defined extracellular signaling cues. Affinity-based methods revealed that stauprimide interacts with NME2 and inhibits its nuclear localization. This, in turn, leads to downregulation of c-Myc, a key regulator of the pluripotent state. Thus, our findings identify a chemical tool that primes ESCs for efficient differentiation through a mechanism that affects c-Myc expression, and this study points to an important role for NME2 in ESC self-renewal.
Proper protein folding is key to producing recombinant proteins for structure determination. We have examined the effect of misfolded recombinant protein on gene expression in Escherichia coli. Comparison of expression patterns indicates a unique set of genes responding to translational misfolding. The response is in part analogous to heat shock and suggests a translational component to the regulation. We have further utilized the expression information to generate reporters responsive to protein misfolding. These reporters were used to identify properly folded recombinant proteins and to create soluble domains of insoluble proteins for structural studies.
Human cells have evolved complex signaling networks to coordinate the cell cycle. A detailed understanding of the global regulation of this fundamental process requires comprehensive identification of the genes and pathways involved in the various stages of cell-cycle progression. To this end, we report a genome-wide analysis of the human cell cycle, cell size, and proliferation by targeting >95% of the protein-coding genes in the human genome using small interfering RNAs (siRNAs). Analysis of >2 million images, acquired by quantitative fluorescence microscopy, showed that depletion of 1,152 genes strongly affected cell-cycle progression. These genes clustered into eight distinct phenotypic categories based on phase of arrest, nuclear area, and nuclear morphology. Phase-specific networks were built by interrogating knowledge-based and physical interaction databases with identified genes. Genome-wide analysis of cell-cycle regulators revealed a number of kinase, phosphatase, and proteolytic proteins and also suggests that processes thought to regulate G 1-S phase progression like receptor-mediated signaling, nutrient status, and translation also play important roles in the regulation of G 2͞M phase transition. Moreover, 15 genes that are integral to TNF͞NF-B signaling were found to regulate G 2͞M, a previously unanticipated role for this pathway. These analyses provide systems-level insight into both known and novel genes as well as pathways that regulate cell-cycle progression, a number of which may provide new therapeutic approaches for the treatment of cancer.high-content screening ͉ network analysis ͉ small interfering RNA ͉ human genome
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