High-Quality Binary Protein Interaction Map of the
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RNA interference (RNAi) is a potent and specifi c mechanism for regulating gene expression. Harnessing RNAi to silence genes involved in disease holds promise for the development of a new class of therapeutics. Delivery is key to realizing the potential of RNAi, and lipid nanoparticles (LNP) have proved effective in delivery of siRNAs to the liver and to tumors in animals. To examine the activity and safety of LNP-formulated siRNAs in humans, we initiated a trial of ALN-VSP, an LNP formulation of siRNAs targeting VEGF and kinesin spindle protein (KSP), in patients with cancer. Here, we show detection of drug in tumor biopsies, siRNA-mediated mRNA cleavage in the liver, pharmacodynamics suggestive of target downregulation, and antitumor activity, including complete regression of liver metastases in endometrial cancer. In addition, we show that biweekly intravenous administration of ALN-VSP was safe and well tolerated. These data provide proof-of-concept for RNAi therapeutics in humans and form the basis for further development in cancer.
SIGNIFICANCE:The fi ndings in this report show safety, pharmacokinetics, RNAi mechanism of action, and clinical activity with a novel fi rst-in-class LNP-formulated RNAi therapeutic in patients with cancer. The ability to harness RNAi to facilitate specifi c multitargeting, as well as increase the number of druggable targets, has important implications for future drug development in oncology. Cancer Discov; 3(4); 406-17.
DAF-16͞forkhead transcription factor, the downstream target of the insulin-like signaling in Caenorhabditis elegans, is indispensable for both lifespan regulation and stress resistance. Here, we demonstrate that c-Jun N-terminal kinase (JNK) is a positive regulator of DAF-16 in both processes. Our genetic analysis suggests that the JNK pathway acts in parallel with the insulin-like signaling pathway to regulate lifespan and both pathways converge onto DAF-16. We also show that JNK-1 directly interacts with and phosphorylates DAF-16. Moreover, in response to heat stress, JNK-1 promotes the translocation of DAF-16 into the nucleus. Our findings define an interaction between two well conserved proteins, JNK-1 and DAF-16, and provide a mechanism by which JNK regulates longevity and stress resistance.longevity ͉ stress resistance ͉ aging ͉ dauer ͉ insulin-like signaling
Whereas stereochemical purity in drugs has become the standard for small molecules, stereoisomeric mixtures containing as many as a half million components persist in antisense oligonucleotide (ASO) therapeutics because it has been feasible neither to separate the individual stereoisomers, nor to synthesize stereochemically pure ASOs. Here we report the development of a scalable synthetic process that yields therapeutic ASOs having high stereochemical and chemical purity. Using this method, we synthesized rationally designed stereopure components of mipomersen, a drug comprising 524,288 stereoisomers. We demonstrate that phosphorothioate (PS) stereochemistry substantially affects the pharmacologic properties of ASOs. We report that Sp-configured PS linkages are stabilized relative to Rp, providing stereochemical protection from pharmacologic inactivation of the drug. Further, we elucidated a triplet stereochemical code in the stereopure ASOs, 3'-SpSpRp, that promotes target RNA cleavage by RNase H1 in vitro and provides a more durable response in mice than stereorandom ASOs.
Next-generation sequencing (NGS) has not been applied to protein-protein interactome network mapping so far because the association between the members of each interacting pair would not be maintained in en masse sequencing. We describe a massively parallel interactome-mapping pipeline, “Stitch-Seq”, that combines PCR stitching with NGS. We use Stitch-Seq to generate a new human interactome dataset. Stitch-Seq is applicable to various interaction assays and should help expand interactome network mapping.
Differential regulation of gene expression is essential for cell fate specification in metazoans. Characterizing the transcriptional activity of gene promoters, in time and in space, is therefore a critical step toward understanding complex biological systems. Here we present an in vivo spatiotemporal analysis for approximately 900 predicted C. elegans promoters (approximately 5% of the predicted protein-coding genes), each driving the expression of green fluorescent protein (GFP). Using a flow-cytometer adapted for nematode profiling, we generated 'chronograms', two-dimensional representations of fluorescence intensity along the body axis and throughout development from early larvae to adults. Automated comparison and clustering of the obtained in vivo expression patterns show that genes coexpressed in space and time tend to belong to common functional categories. Moreover, integration of this data set with C. elegans protein-protein interactome data sets enables prediction of anatomical and temporal interaction territories between protein partners.
We have developed a nematode transformation vector carrying the bacterial neomycin resistance gene (NeoR) and shown that it could confer resistance to G-418 on both wild-type Caenorhabditis elegans and C. briggsae. This selection system allows hands-off maintenance and enrichment of transgenic worms carrying non-integrated transgenes on selective plates. We also show that this marker can be used for Mos1-mediated single-copy insertion in wild-type genetic backgrounds (MosSCI-biotic).
Genes and gene products do not function in isolation but within highly interconnected “interactome” networks, modeled as graphs of nodes and edges representing macromolecules and interactions between them, respectively. We propose to investigate genotype-phenotype associations by methodical use of alleles that lack single interactions, while retaining all others, in contrast to genetic approaches designed to eliminate gene products completely. We describe an integrated strategy based on the reverse yeast two-hybrid system to isolate and characterize such edge-specific, or “edgetic” alleles. We establish a proof-of-concept with CED-9, a C. elegans BCL2 ortholog involved in apoptosis. Using ced-9 edgetic alleles, we uncover a new potential functional link between apoptosis and a centrosomal protein, demonstrating both the interest and efficiency of our strategy. This approach is amenable to higher throughput and is particularly applicable to interactome network analysis in organisms for which transgenesis is straightforward.
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