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B lymphocytes are an important cell population of the immune system. However, until recently it was not possible to transduce resting B lymphocytes with retro- or lentiviral vectors, making them unsusceptible for genetic manipulations by these vectors. Lately, we demonstrated that lentiviral vectors pseudotyped with modified measles virus (MV) glycoproteins hemagglutinin, responsible for receptor recognition, and fusion protein were able to overcome this transduction block. They use either the natural MV receptors, CD46 and signaling lymphocyte activation molecule (SLAM), for cell entry (MV-LV) or the vector particles were further modified to selectively enter via the CD20 molecule, which is exclusively expressed on B lymphocytes (CD20-LV). It has been shown previously that transduction by MV-LV does not induce B lymphocyte activation. However, if this is also true for CD20-LV is still unknown. Here, we generated a vector specific for another B lymphocyte marker, CD19, and compared its ability to transduce resting B lymphocytes with CD20-LV. The vector (CD19ds-LV) was able to stably transduce unstimulated B lymphocytes, albeit with a reduced efficiency of about 10% compared to CD20-LV, which transduced about 30% of the cells. Since CD20 as well as CD19 are closely linked to the B lymphocyte activation pathway, we investigated if engagement of CD20 or CD19 molecules by the vector particles induces activating stimuli in resting B lymphocytes. Although, activation of B lymphocytes often involves calcium influx, we did not detect elevated calcium levels. However, the activation marker CD71 was substantially up-regulated upon CD20-LV transduction and most importantly, B lymphocytes transduced with CD20-LV or CD19ds-LV entered the G1b phase of cell cycle, whereas untransduced or MV-LV transduced B lymphocytes remained in G0. Hence, CD20 and CD19 targeting vectors induce activating stimuli in resting B lymphocytes, which most likely renders them susceptible for lentiviral vector transduction.
Background: Threonine Aspartase 1 (Taspase1) mediates cleavage of the mixed lineage leukemia (MLL) protein and leukemia provoking MLL-fusions. In contrast to other proteases, the understanding of Taspase1's (patho)biological relevance and function is limited, since neither small molecule inhibitors nor cell based functional assays for Taspase1 are currently available. Methodology/Findings: Efficient cell-based assays to probe Taspase1 function in vivo are presented here. These are composed of glutathione S-transferase, autofluorescent protein variants, Taspase1 cleavage sites and rational combinations of nuclear import and export signals. The biosensors localize predominantly to the cytoplasm, whereas expression of biologically active Taspase1 but not of inactive Taspase1 mutants or of the protease Caspase3 triggers their proteolytic cleavage and nuclear accumulation. Compared to in vitro assays using recombinant components the in vivo assay was highly efficient. Employing an optimized nuclear translocation algorithm, the triple-color assay could be adapted to a high-throughput microscopy platform (Z'factor = 0.63). Automated high-content data analysis was used to screen a focused compound library, selected by an in silico pharmacophor screening approach, as well as a collection of fungal extracts. Screening identified two compounds, N-[2-[(4-amino-6-oxo-3H-pyrimidin-2-yl)sulfanyl]ethyl]benzenesulfonamideand 2-benzyltriazole-4,5-dicarboxylic acid, which partially inhibited Taspase1 cleavage in living cells. Additionally, the assay was exploited to probe endogenous Taspase1 in solid tumor cell models and to identify an improved consensus sequence for efficient Taspase1 cleavage. This allowed the in silico identification of novel putative Taspase1 targets. Those include the FERM Domain-Containing Protein 4B, the Tyrosine-Protein Phosphatase Zeta, and DNA Polymerase Zeta. Cleavage site recognition and proteolytic processing of these substrates were verified in the context of the biosensor. Conclusions: The assay not only allows to genetically probe Taspase1 structure function in vivo, but is also applicable for high-content screening to identify Taspase1 inhibitors. Such tools will provide novel insights into Taspase1's function and its potential therapeutic relevance.
Nuclear receptors (NRs) activate transcription of target genes in response to binding of ligands to their ligand-binding domains (LBDs). Typically, in vitro assays use either gene expression or the recruitment of coactivators to the isolated LBD of the NR of interest to measure NR activation. However, this approach ignores that NRs function as homo- as well as heterodimers and that the LBD harbors the main dimerization interface. Cofactor recruitment is thereby interconnected with oligomerization status as well as ligand occupation of the partnering LBD through allosteric cross talk. Here we present a modular set of homogeneous time-resolved FRET–based assays through which we investigated the activation of PPARγ in response to ligands and the formation of heterodimers with its obligatory partner RXRα. We introduced mutations into the RXRα LBD that prevent coactivator binding but do not interfere with LBD dimerization or ligand binding. This enabled us to specifically detect PPARγ coactivator recruitment to PPARγ:RXRα heterodimers. We found that the RXRα agonist SR11237 destabilized the RXRα homodimer but promoted formation of the PPARγ:RXRα heterodimer, while being inactive on PPARγ itself. Of interest, incorporation of PPARγ into the heterodimer resulted in a substantial gain in affinity for coactivator CBP-1, even in the absence of ligands. Consequently, SR11237 indirectly promoted coactivator binding to PPARγ by shifting the oligomerization preference of RXRα toward PPARγ:RXRα heterodimer formation. These results emphasize that investigation of ligand-dependent NR activation should take NR dimerization into account. We envision these assays as the necessary assay tool kit for investigating NRs that partner with RXRα.
Acute myeloid leukemia is a hematopoietic stem cell disorder and a type of acute leukemia which is characterized by clonal proliferation of myeloid precursors with a reduced capacity to differentiate into more mature cellular elements. Clinically AML is characterized by a high degree of heterogeneity with respect to chromosome abnormalities, gene mutations, and changes in expression of multiple genes and microRNAs. Cytogenetic abnormalities can be detected in approximately 50% to 60% of newly diagnosed AML patients. Majority of AML cases are associated with chromosomal aberrations, more specifically translocations that often result in gene arrangements and expression of aberrant fusion proteins. This study was carried out with two fusion proteins: PML/RARα and DEK/CAN which results from the translocations t(15;17) and t (6,9) respectively. PML/RARα is the most common translocation (97%) and the main driver in Acute Promyelocytic Leukemia (APL), a wellcharacterized and well treatable subtype of AML. In contrast, DEK/CAN occurs in 1-5% of AML, associated with poor prognosis and defines a high risk group in AML. The expression of PML/RARα results in a fusion protein that acts as a transcriptional repressor by interfering with gene expression programs involved in differentiation, apoptosis, and selfrenewal. Current therapy focused on the targeting of PML/RARα fusion protien. Success has been achieved by using either ATRA, anthracyclines and Arsenic trioxide or their combinations. These agents induce differentiation in PML/RARα positive AML and hence called differentiation therapy. In comparison with ATRA, ATO and anthracyclines are poor cellular differentiation agents. Despite early promise, several studies have reported that differentiation therapy is unable to target/eradicate leukemic stem cells or eradicate the disease. Therefore current therapeutic focus is to eliminate leukemic stem cells and achieve complete molecular remission not only in APL but also in acute lymphoblastic leukemia and chronic myeloid leukemia as well. Key enzymes of the eicosanoid pathways in the arachidonic acid metabolism, such as COX1/2 as well as the 5-LO have been shown to be good targets for leukemic stem cell therapy approach in AML by interfering with the Wntsignaling which is known to be indispensable for the pathogenesis of AML. Recently it was reported that the third eicosanoid pathway based on the cytochrome P450 (CYP) enzymes interferes with Wnt-signaling as well as with the proliferation and mobilization of hematopoietic stem cells...
The interaction of fibroblast growth factors (FGFs) with their fibroblast growth factor receptors (FGFRs) are important in the signaling network of cell growth and development. SSR128129E (SSR),[1, 2] a ligand of small molecular weight with potential anti-cancer properties, acts allosterically on the extracellular domains of FGFRs. Up to now, the structural basis of SSR binding to the D3 domain of FGFR remained elusive. This work reports the structural characterization of the interaction of SSR with one specific receptor, FGFR3, by NMR spectroscopy. This information provides a basis for rational drug design for allosteric FGFR inhibitors.
We developed the Pharmacophore Alignment Search Tool (PhAST), a text-based technique for rapid hit and lead structure searching in large compound databases. For each molecule, a two-dimensional graph of potential pharmacophoric points (PPPs) is created, which has an identical topology as the original molecule with implicit hydrogen atoms. Each vertex is coloured by a symbol representing the corresponding PPP. The vertices of the graph are canonically labelled. The symbols associated with the vertices are combined to a so-called PhAST-Sequence beginning with the vertex with the lowest canonical label. Due to the canonical labelling the created PhAST-Sequence is characteristic for each molecule. For similarity assessment, PhAST-Sequences are compared using the sequence identity in their global pairwise alignment. The alignment score lies between 0 (no similarity) and 1 (identical PhAST-Sequences). In order to use global pairwise sequence alignment, a score matrix for pharmacophoric symbols was developed and gap penalties were optimized. PhAST performed comparably and sometimes superior to other similarity search tools (CATS2D, MOE pharmacophore quadruples) in retrospective virtual screenings using the COBRA collection of drugs and lead structures. Most importantly, the PhAST alignment technique allows for the computation of significance estimates that help prioritize a virtual hit list.
HDAC inhibitors (HDACI), a new class of anticancer agents, induce apoptosis in many cancer entities. JNJ-26481585 is a second generation class І HDACI that displays improved efficacy in preclinical studies compared to the established HDACI SAHA (Vorinostat). Therefore, this study aims at evaluating the effects of JNJ-26481585 on human rhabdomyosarcoma (RMS) and at identifying novel synergistic interactions of JNJ-26481585 or the more common HDACI SAHA with different anticancer drugs in RMS cells. Indeed, we show that JNJ-26481585 and SAHA significantly increase chemotherapeutic drug-induced apoptosis in embryonal and alveolar RMS cell lines, when used in combination with chemotherapeutic agents (i.e. doxorubicin, etoposide, vincristine, and cyclophosphamide) which are currently used in the clinic for the treatment of RMS.
We demonstrate that JNJ-26481585 as single agent and in combination with doxorubicin induces apoptosis, which is characterized by activation of the caspase cascade, PARP cleavage, and DNA fragmentation. Induction of caspase-dependent apoptotic cell death is confirmed by the use of the broad-range caspase inhibitor zVAD.fmk, which significantly decreases both JNJ-26481585-triggered and combination treatment-mediated DNA fragmentation, and in addition completely abrogates loss of cell viability. Importantly, JNJ-26481585 significantly inhibits tumor growth in vivo in two preclinical RMS models, i.e. the chicken chorioallantoic membrane (CAM) model and a xenograft mouse model, supporting the notion that JNJ-26481585 hampers tumor maintenance. Also, in combination with doxorubicin JNJ-26481585 significantly reduces tumor growth in in vivo experiments using the CAM model.
Mechanistically, we identify that JNJ-26481585-induced apoptosis is mediated via the intrinsic apoptotic pathway, since we observe increased loss of mitochondrial membrane potential and activation of the proapoptotic Bcl-2 family members Bax and Bak. Interestingly, we find that JNJ-26481585 triggers induction of Bim, Bmf, Puma, and Noxa on mRNA level as well as on protein level, pointing to an altered transcription of BH3-only proteins as important event for the Bax/Bak-mediated loss of mitochondrial membrane potential as well as mitochondrial apoptosis induction upon JNJ-26481585 treatment. JNJ-26481585-initiated activation of Bax and Bak is not prevented with the addition of zVAD.fmk, suggesting that JNJ-26481585 first disrupts the mitochondria and subsequently activates the caspase cascade. When JNJ-26481585 is used in combination with doxorubicin, we observe not only an increase of proapoptotic Bcl-2 proteins, but also a decrease in the level of the antiapoptotic mitochondrial proteins Bcl-2, Mcl-1, and Bcl-xL. This indicates that Bax, Bak, Bim, and Noxa are crucial for JNJ-26481585-induced as well as JNJ/Dox treatment-induced apoptosis, since RNAi mediated silencing of Bax, Bak, Bim, and Noxa significantly impedes DNA fragmentation upon those treatments.
Furthermore, ectopic overexpression of Bcl-2 profoundly impairs both JNJ-26481585 and combination treatment-mediated apoptosis, abrogates caspase cleavage, and reduces activation of Bax and Bak, underlining the hypothesis that JNJ-26481585 initially targets the mitochondria and then activates caspases.
With the more commonly used HDACI SAHA we confirm the results obtained with the HDACI JNJ-26481585, since combination treatment with SAHA and doxorubicin also induces intrinsic apoptosis, which can be significantly diminished by zVAD.fmk or ectopic overexpression of Bcl-2. Treatment with SAHA and doxorubicin also affects expression levels of pro- and antiapoptotic mitochondrial proteins, thus shifting the balance towards the proapoptotic mitochondrial machinery, resulting in Bax/Bak activation, caspase activation, and subsequently apoptosis.
Taken together, we provide evidence that the HDACIs JNJ-26481585 and SAHA are promising therapeutic agents for the treatment of RMS and that combination regimens with HDACIs represent an efficient strategy to prime RMS cells for chemotherapy-induced apoptosis. These findings have important implications for mitochondrial apoptosis-targeted therapies of RMS.
The access to information on the dynamic behaviour of large proteins is usually hindered as spectroscopic methods require the site-specific attachment of biophysical probes. A powerful emerging tool to tackle this issue is amber codon suppression. Till date, its application on large and complex multidomain proteins of MDa size has not been reported. Herein, we systematically investigate the feasibility to introduce different non-canonical amino acids into a 540 kDa homodimeric fatty acid synthase type I by genetic code expansion with subsequent fluorescent labelling. Our approach relies on a microplate-based reporter assay of low complexity using a GFP fusion protein to quickly screen for sufficient suppression conditions. Once identified, these findings were successfully utilized to upscale both the expression scale and the protein size to full-length constructs. These fluorescently labelled samples of fatty acid synthase were subjected to initial biophysical experiments, including HPLC analysis, activity assays and fluorescence spectroscopy. Successful introduction of such probes into a molecular machine such as fatty acid synthases may pave the way to understand the conformational variability, which is a primary intrinsic property required for efficient interplay of all catalytic functionalities, and to engineer them.
We present a computational method for the reaction-based de novo design of drug-like molecules. The software DOGS (Design of Genuine Structures) features a ligand-based strategy for automated ‘in silico’ assembly of potentially novel bioactive compounds. The quality of the designed compounds is assessed by a graph kernel method measuring their similarity to known bioactive reference ligands in terms of structural and pharmacophoric features. We implemented a deterministic compound construction procedure that explicitly considers compound synthesizability, based on a compilation of 25'144 readily available synthetic building blocks and 58 established reaction principles. This enables the software to suggest a synthesis route for each designed compound. Two prospective case studies are presented together with details on the algorithm and its implementation. De novo designed ligand candidates for the human histamine H4 receptor and γ-secretase were synthesized as suggested by the software. The computational approach proved to be suitable for scaffold-hopping from known ligands to novel chemotypes, and for generating bioactive molecules with drug-like properties.