7 research outputs found
Lead selection of antiparasitic compounds from a focused library of benzenesulfonyl derivatives of heterocycles
A library of 89 synthetic benzenesulfonyl derivatives of heterocycles with drug-like properties was assayed for in vitro antiparasitic activity and the results were added to our previously reported derivatives for a comprehensive SAR evaluation. Four compounds showed an IC50 between 0.25 and 3μM against Leishmania donovani and low cytotoxicity. Compound G{16} (1-(2,3,5,6-tetramethylphenylsulfonyl)-2-methylindoline), was particularly interesting with an IC50 similar to the reference drug miltefosine. Seven compounds showed an IC50 below 6µM against Trypanosoma cruzi, and three of them (E{3}, E{9} and G{3}) were identified as lead scaffolds for further optimization based on their activity-toxicity profile. Two promising structures (B{15} and G{15}) showed moderate inhibitory activity against Plasmodium falciparum. In general, the presence of a benzenesulfonyl moiety improves the antiparasitic activity of the heterocycles included in this study (with the exception of Trypanosoma brucei rhodesiense), validating the criteria used in the selection of the privileged structures and diversification used to generate this library. SAR analysis showed that the presence of lipophilic and electron withdrawing groups were favorable for the antiparasitic activity
Efficient intracellular delivery of native proteins
Modulation of protein function is used to intervene in cellular processes but is often done indirectly by means of introducing DNA or mRNA encoding the effector protein. Thus far, direct intracellular delivery of proteins has remained challenging. We developed a method termed iTOP, for induced transduction by osmocytosis and propanebetaine, in which a combination of NaCl hypertonicity-induced macropinocytosis and a transduction compound (propanebetaine) induces the highly efficient transduction of proteins into a wide variety of primary cells. We demonstrate that iTOP is a useful tool in systems in which transient cell manipulation drives permanent cellular changes. As an example, we demonstrate that iTOP can mediate the delivery of recombinant Cas9 protein and short guide RNA, driving efficient gene targeting in a non-integrative manner
Efficient intracellular delivery of native proteins
Modulation of protein function is used to intervene in cellular processes but is often done indirectly by means of introducing DNA or mRNA encoding the effector protein. Thus far, direct intracellular delivery of proteins has remained challenging. We developed a method termed iTOP, for induced transduction by osmocytosis and propanebetaine, in which a combination of NaCl hypertonicity-induced macropinocytosis and a transduction compound (propanebetaine) induces the highly efficient transduction of proteins into a wide variety of primary cells. We demonstrate that iTOP is a useful tool in systems in which transient cell manipulation drives permanent cellular changes. As an example, we demonstrate that iTOP can mediate the delivery of recombinant Cas9 protein and short guide RNA, driving efficient gene targeting in a non-integrative manner
Discovery of Small Molecules That Induce Lysosomal Cell Death in Cancer Cell Lines Using an Image-Based Screening Platform
The lysosomal cell death (LCD) pathway is a caspase 3-independent cell death pathway that has been suggested as a possible target for cancer therapy, making the development of sensitive and specific high-throughput (HT) assays to identify LCD inducers highly desirable. In this study, we report a two-step HT screening platform to reliably identify such molecules. First, using a robust HT primary screen based on propidium iodide uptake, we identified compounds that kill through nonapoptotic pathways. A phenotypic image-based assay using a galectin-3 (Gal-3) reporter was then used to further classify hits based on lysosomal permeabilization, a hallmark of LCD. The identification of permeabilized lysosomes in our image-based assay is not affected by changes in the lysosomal pH, thus resolving an important limitation in currently used methods. We have validated our platform in a screen by identifying 24 LCD inducers, some previously known to induce LCD. Although most LCD inducers were cationic amphiphilic drugs (CADs), we have also identified a non-CAD LCD inducer, which is of great interest in the field. Our data also gave new insights into the biology of LCD, suggesting that lysosomal accumulation and acid sphingomyelinase inhibition are not sufficient or necessary for the induction of LCD. Overall, our results demonstrate a robust HT platform to identify novel LCD inducers that will also be very useful for gaining deeper insights into the molecular mechanism of LCD induction
HC StratoMineR : A Web-Based Tool for the Rapid Analysis of High-Content Datasets
High-content screening (HCS) can generate large multidimensional datasets and when aligned with the appropriate data mining tools, it can yield valuable insights into the mechanism of action of bioactive molecules. However, easy-to-use data mining tools are not widely available, with the result that these datasets are frequently underutilized. Here, we present HC StratoMineR, a web-based tool for high-content data analysis. It is a decision-supportive platform that guides even non-expert users through a high-content data analysis workflow. HC StratoMineR is built by using My Structured Query Language for storage and querying, PHP: Hypertext Preprocessor as the main programming language, and jQuery for additional user interface functionality. R is used for statistical calculations, logic and data visualizations. Furthermore, C++ and graphical processor unit power is diffusely embedded in R by using the rcpp and rpud libraries for operations that are computationally highly intensive. We show that we can use HC StratoMineR for the analysis of multivariate data from a high-content siRNA knock-down screen and a small-molecule screen. It can be used to rapidly filter out undesirable data; to select relevant data; and to perform quality control, data reduction, data exploration, morphological hit picking, and data clustering. Our results demonstrate that HC StratoMineR can be used to functionally categorize HCS hits and, thus, provide valuable information for hit prioritization
HC StratoMineR : A Web-Based Tool for the Rapid Analysis of High-Content Datasets
High-content screening (HCS) can generate large multidimensional datasets and when aligned with the appropriate data mining tools, it can yield valuable insights into the mechanism of action of bioactive molecules. However, easy-to-use data mining tools are not widely available, with the result that these datasets are frequently underutilized. Here, we present HC StratoMineR, a web-based tool for high-content data analysis. It is a decision-supportive platform that guides even non-expert users through a high-content data analysis workflow. HC StratoMineR is built by using My Structured Query Language for storage and querying, PHP: Hypertext Preprocessor as the main programming language, and jQuery for additional user interface functionality. R is used for statistical calculations, logic and data visualizations. Furthermore, C++ and graphical processor unit power is diffusely embedded in R by using the rcpp and rpud libraries for operations that are computationally highly intensive. We show that we can use HC StratoMineR for the analysis of multivariate data from a high-content siRNA knock-down screen and a small-molecule screen. It can be used to rapidly filter out undesirable data; to select relevant data; and to perform quality control, data reduction, data exploration, morphological hit picking, and data clustering. Our results demonstrate that HC StratoMineR can be used to functionally categorize HCS hits and, thus, provide valuable information for hit prioritization