A bottleneck in drug discovery is the identification of the molecular targets of a compound (mode of action, MoA) and of its off-target effects. Previous approaches to elucidate drug MoA include analysis of chemical structures, transcriptional responses following treatment, and text mining. Methods based on transcriptional responses require the least amount of information and can be quickly applied to new compounds. Available methods are inefficient and are not able to support network pharmacology. We developed an automatic and robust approach that exploits similarity in gene expression profiles following drug treatment, across multiple cell lines and dosages, to predict similarities in drug effect and MoA. We constructed a "drug network" of 1,302 nodes (drugs) and 41,047 edges (indicating similarities between pair of drugs). We applied network theory, partitioning drugs into groups of densely interconnected nodes (i.e., communities). These communities are significantly enriched for compounds with similar MoA, or acting on the same pathway, and can be used to identify the compoundtargeted biological pathways. New compounds can be integrated into the network to predict their therapeutic and off-target effects. Using this network, we correctly predicted the MoA for nine anticancer compounds, and we were able to discover an unreported effect for a well-known drug. We verified an unexpected similarity between cyclin-dependent kinase 2 inhibitors and Topoisomerase inhibitors. We discovered that Fasudil (a Rho-kinase inhibitor) might be "repositioned" as an enhancer of cellular autophagy, potentially applicable to several neurodegenerative disorders. Our approach was implemented in a tool (Mode of Action by NeTwoRk Analysis, MANTRA, http://mantra.tigem.it).computational drug discovery | drug repurposing | systems biology | chemotherapy
Novel hirudin variants isolated from the leech Hirudinaria manillensis, a leech more specialized for mammalian parasitism, are described. Isolation of antithrombin polypeptides was performed by ion-exchange chromatographies followed by an affinity chromatography step on immobilized thrombin. The major active component, antithrombin polypeptide peak 2 (HM2), and a second polypeptide, named HM1, were purified to homogeneity and their complete amino acid sequences were determined. The protein structure of the two hirudin variants include 64 amino acids with 6 cysteine residues at highly conserved positions. Comparison of the amino acid sequences of HM1 and HM2 with other known hirudins shows differences mainly in the central part and in the C-terminal region of the polypeptides. Particularly significant is the lack of a sulfated tyrosine residue in the Cterminal portion of the molecule which is replaced by aspartic acid.Polymerase chain reaction cloning techniques were used to isolate and characterize the cDNAs and determine the genomic structures of these hirudin-like polypeptides. The cDNA clones coding for the two variants indicate the expression of pre-hirudins of 84 amino acids where the first 20 residues constitute the signal peptide required for extracellular secretion. The leader sequence appears to be highly conserved for both isoforms and shares a complete similarity with the partial hirudin variant 2 (HV2) signal peptide sequence previously reported.The HM1 and HM2 gene fragments show the presence of four exons: the first one corresponding to a 20-amino-acid signal peptide while the other three exons share the full primary structure of the antithrombin polypeptides.HM2 was also efficiently produced in recombinant Escherichia coli by expressing a periplasmic construction containing the synthetic gene.Hirudin, the most potent thrombin inhibitor known, is a small polypeptide discovered over 100 years ago in the saliva of the medicinal leech Hirudo medicinalis [l]. It was first characterized biochemically by Markwardt [2, 31 and its structure was lately elucidated by Dodt et al. [4]. It is a single-chain polypeptide composed of 65 amino acids, including 6 cysteine residues, and a molecular mass of about 7000 Da. Hirudin produces its action by binding directly to thrombinCorrespondence to E. Scacheri,
The cloned DNA polymerase I gene has been used to map the POL1 locus on the left arm of chromosome XIV, between MET4 and TOP2. Temperature-sensitive mutants in POL1 have been obtained by in vitro mutagenesis of the cloned gene and in vivo replacement of the wild-type allele with the mutated copy. Physiological and biochemical characterization of one temperature-sensitive mutant (pol1-1) shows that cells shifted to the non-permissive temperature can complete one round of cell division and DNA replication before they arrest. Analysis of DNA polymerase I in crude extracts and in partially purified preparations indicates that the pol1-1 mutation results in a conformational change and affects the stability of the DNA primase-polymerase complex.
Background: Microarrays have been widely used for the analysis of gene expression and several commercial platforms are available. The combined use of multiple platforms can overcome the inherent biases of each approach, and may represent an alternative that is complementary to RT-PCR for identification of the more robust changes in gene expression profiles.
The generation of biological data on wide panels of tumor cell lines is recognized as a valid contribution to the cancer research community. However, research laboratories can benefit from this knowledge only after the identity of each individual cell line used in the experiments is verified and matched to external sources. Among the methods employed to assess cell line identity, DNA fingerprinting by profiling Short Tandem Repeat (STR) at variable loci has become the method of choice. However, the analysis of cancer cell lines is sometimes complicated by their intrinsic genetic instability, resulting in multiple allele calls per locus. In addition, comparison of data across different sources must deal with the heterogeneity of published profiles both in terms of number and type of loci used. The aim of this work is to provide the scientific community a homogeneous reference dataset for 300 widely used tumor cell lines, profiled in parallel on 16 loci. This large dataset is interfaced with an in-house developed software tool for Cell Line Identity Finding by Fingerprinting (CLIFF), featuring an original identity score calculation, which facilitates the comparison of STR profiles from different sources and enables accurate calls when multiple loci are present. CLIFF additionally allows import and query of proprietary STR profile datasets.
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