The contributions of dsRNA structure to Dicer specificity and efficiency

Dicer processes long double-stranded RNA (dsRNA) and pre-microRNAs to generate the functional intermediates (short interfering RNAs and microRNAs) of the RNA interference pathway. Here we identify features of RNA structure that affect Dicer specificity and efficiency. The data presented show that various attributes of the 3' end structure, including overhang length and sequence composition, play a primary role in determining the position of Dicer cleavage in both dsRNA and unimolecular, short hairpin RNA (shRNA). We also demonstrate that siRNA end structure affects overall silencing functionality. Awareness of these new features of Dicer cleavage specificity as it is related to siRNA functionality provides a more detailed understanding of the RNAi mechanism and can shape the development of hairpins with enhanced functionality.     

Low-Resolution Density Maps from Atomic Models: How Stepping “Back” Can Be a Step “Forward”

Atomic-resolution structures have had a tremendous impact on modern biological science. Much useful information also has been gleaned by merging and correlating atomic-resolution structural details with lower-resolution (15–40 Å), three-dimensional (3D) reconstructions computed from images recorded with cryo-transmission electron microscopy (cryoTEM) procedures. One way to merge these structures involves reducing the resolution of an atomic model to a level comparable to a cryoTEM reconstruction. A low-resolution density map can be derived from an atomic-resolution structure by retrieving a set of atomic coordinates editing the coordinate file, computing structure factors from the model coordinates, and computing the inverse Fourier transform of the structure factors. This method is a useful tool for structural studies primarily in combination with 3D cryoTEM reconstructions. It has been used to assess the quality of 3D reconstructions, to determine corrections for the phase-contrast transfer function of the transmission electron microscope, to calibrate the dimensions and handedness of 3D reconstructions, to produce difference maps, to model features in macromolecules or macromolecular complexes, and to generate models to initiate model-based determination of particle orientation and origin parameters for 3D reconstruction.     

AL101, a gamma-secretase inhibitor,has potent antitumor activity against adenoid cystic carcinoma with activated NOTCH signaling

Adenoid cystic carcinoma (ACC) is an aggressive salivary gland malignancy with limited treatment options for recurrent or metastatic disease. Due to chemotherapy resistance and lack of targeted therapeutic approaches, current treatment options for the localized disease are limited to surgery and radiation, which fails to prevent locoregional recurrences and distant metastases in over 50% of patients. Approximately 20% of patients with ACC carry NOTCH-activating mutations that are associated with a distinct phenotype, aggressive disease, and poor prognosis. Given the role of NOTCH signaling in regulating tumor cell behavior, NOTCH inhibitors represent an attractive potential therapeutic strategy for this subset of ACC. AL101 (osugacestat) is a potent γ-secretase inhibitor that prevents activation of all four NOTCH receptors. While this investigational new drug has demonstrated antineoplastic activity in several preclinical cancer models and in patients with advanced solid malignancies, we are the first to study the therapeutic benefit of AL101 in ACC. Here, we describe the antitumor activity of AL101 using ACC cell lines, organoids, and patient-derived xenograft models. Specifically, we find that AL101 has potent antitumor effects in in vitro and in vivo models of ACC with activating NOTCH1 mutations and constitutively upregulated NOTCH signaling pathway, providing a strong rationale for evaluation of AL101 in clinical trials for patients with NOTCH-driven relapsed/refractory ACC.Subject terms: Head and neck cancer, Targeted therapies     

Architecture of a protein central to iron homeostasis: crystal structure and spectroscopic analysis of the ferric uptake regulator

Iron is an essential element for almost all organisms, although an overload of this element results in toxicity because of the formation of hydroxyl radicals. Consequently, most living entities have developed sophisticated mechanisms to control their intracellular iron concentration. In many bacteria, including the opportunistic pathogen Pseudomonas aeruginosa, this task is performed by the ferric uptake regulator (Fur). Fur controls a wide variety of basic physiological processes including iron uptake systems and the expression of exotoxin A. Here, we present the first crystal structure of Fur from P. aeruginosa in complex with Zn2+ determined at a resolution of 1.8 A. Furthermore, X-ray absorption spectroscopic measurements and microPIXE analysis were performed in order to characterize the distinct zinc and iron binding sites in solution. The combination of these complementary techniques enables us to present a model for the activation and DNA binding of the Fur protein.     

A genomics-guided approach for discovering and expressing cryptic metabolic pathways

Genome analysis of actinomycetes has revealed the presence of numerous cryptic gene clusters encoding putative natural products. These loci remain dormant until appropriate chemical or physical signals induce their expression. Here we demonstrate the use of a high-throughput genome scanning method to detect and analyze gene clusters involved in natural-product biosynthesis. This method was applied to uncover biosynthetic pathways encoding enediyne antitumor antibiotics in a variety of actinomycetes. Comparative analysis of five biosynthetic loci representative of the major structural classes of enediynes reveals the presence of a conserved cassette of five genes that includes a novel family of polyketide synthase (PKS). The enediyne PKS (PKSE) is proposed to be involved in the formation of the highly reactive chromophore ring structure (or "warhead") found in all enediynes. Genome scanning analysis indicates that the enediyne warhead cassette is widely dispersed among actinomycetes. We show that selective growth conditions can induce the expression of these loci, suggesting that the range of enediyne natural products may be much greater than previously thought. This technology can be used to increase the scope and diversity of natural-product discovery.     

Halplotypes of the ovine ADRB3 gene (ADRB3) and their association with post-weaning growth in New Zealand Suffolk sheep

The β₃-adrenergic receptor (ADRB3) regulates thermogenesis and lipolysis in brown and white adipose tissue. Previously, sixteen ovine ADRB3 haplotypes have been defined. In this study, the relationship between these ADRB3 haplotypes and variation in post-weaning growth was investigated in 797 New Zealand Suffolk lambs from 38 sire lines and eight studs, using PCR-SSCP and General Linear Mixed-effects Models. Seven haplotypes were found in these sheep and they comprised five previously reported intron sequences and four previously reported 3′UT sequences. The frequencies of the various diplotypes ranged from 0.1 to 17.6 % and individual haplotypes from 0.8 to 32.5 %. The presence of haplotype A-b was associated with a decreased weaning-weight (P = 0.001). Sheep with the B-c/F-e diplotype had a higher mean weaning-weight than those with A-b/B-c or A-b/E-e (P < 0.05). The presence of C-a was found to be associated with increased post-weaning growth (P = 0.008), while the presence of B-c was associated with decreased post-weaning growth (P = 0.005). Sheep with A-b/C-a had higher mean post-weaning growth than those with A-b/A-b, A-b/B-c, B-c/B-c, B-c/E-e or B-c/F-e (P < 0.05). Sheep with B-c/B-c had lower mean post-weaning growth than those with A-b/C-a or B-c/C-a (P < 0.05). Additive effects for the different forms of the B-c haplotypes on post-weaning growth were identified. The effects of the ovine ADRB3 haplotypes on weaning-weight and post-weaning growth confirm that they could be used as a candidate gene-marker for improving sheep growth.     

Characterization of glucocorticoid receptors in S49 mouse lymphoma cells by affinity labeling with [3H]dexamethasone 21-mesylate

Glucocorticoid receptors in wild type and mutant S49 mouse lymphoma cells were affinity labeled with [3H]dexamethasone 21-mesylate and analyzed directly by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. The molecular weight of receptors in cytosol from wild type cells and nuclear transfer decreased (nt-) mutants was 97,000 (97 kDa). The molecular weight of receptors in cytosol from nuclear transfer increased (nti) mutants was 48 kDa. The 97 kDa receptor in cytosol from wild type cells was digested by chymotrypsin to a 40 kDa steroid-binding receptor fragment but the 48 kDa receptor in cytosol from nti mutants was resistant to digestion by chymotrypsin. In addition to the 48 kDa receptor, cytosol from nti mutants contained 40 and 18 kDa receptor fragments. Cytosol from the nt- mutants also contained 18 kDa receptor fragments. The 40 and 18 kDa receptor fragments were present in multiple subclones of a nti mutant cell line. Formation of these receptor fragments was not prevented by protease inhibitors and was not increased by extended incubation of cytosol samples. Both 48 and 40 kDa forms of the receptor, but not the 18 kDa form, could be activated and bound by DNA-cellulose.     

Interplay between age‐based competitive asymmetries within the brood and direct competition between inbred and outbred offspring in a burying beetle

Theory suggests that intraspecific competition associated with direct competition between inbred and outbred individuals should be an important determinant of the severity of inbreeding depression. The reason is that, if outbred individuals are stronger competitors than inbred ones, direct competition should have a disproportionate effect on the fitness of inbred individuals. However, an individual's competitive ability is not only determined by its inbreeding status but also by competitive asymmetries that are independent of an individual's inbreeding status. When this is the case, such competitive asymmetries may shape the outcome of direct competition between inbred and outbred individuals. Here, we investigate the interface between age‐based competitive asymmetries within broods and direct competition between inbred and outbred offspring in the burying beetle Nicrophorus vespilloides. We found that inbred offspring had lower survival than outbred ones confirming that there was inbreeding depression. Furthermore, seniors (older larvae) grew to a larger size and had higher survival than juniors (younger larvae), confirming that there were age‐based competitive asymmetries. Nevertheless, there was no evidence that direct competition between inbred and outbred larvae exacerbated inbreeding depression, no evidence that inbreeding depression was more severe in juniors and no evidence that inbred juniors suffered disproportionately due to competition from outbred seniors. Our results suggest that direct competition between inbred and outbred individuals does not necessarily exacerbate inbreeding depression and that inbred individuals are not always more sensitive to poor and stressful conditions than outbred ones.     

Integrating computational and mixture-based screening of combinatorial libraries

Mixture-based synthetic combinatorial library (MB-SCL) screening is a well-established experimental approach for rapidly retrieving structure–activity relationships (SAR) and identifying hits. Virtual screening is also a powerful approach that is increasingly being used in drug discovery programs and has a growing number of successful applications. However, limited efforts have been made to integrate both techniques. To this end, we combined experimental data from a MB-SCL of bicyclic guanidines screened against the κ-opioid receptor and molecular similarity methods. The activity data and similarity analyses were integrated in a biometric analysis–similarity map. Such a map allows the molecules to be categorized as actives, activity cliffs, low similarity to the reference compounds, or missed hits. A compound with IC₅₀ = 309 nM was found in the “missed hits” region, showing that active compounds can be retrieved from a MS-SCL via computational approaches. The strategy presented in this work is general and is envisioned as a general-purpose approach that can be applied to other MB-SCLs.