Inhibition of FGF receptor blocks adaptive resistance to RET inhibition in CCDC6-RET-rearranged thyroid cancer.

Genetic alterations in RET lead to activation of ERK and AKT signaling and are associated with hereditary and sporadic thyroid cancer and lung cancer. Highly selective RET inhibitors have recently entered clinical use after demonstrating efficacy in treating patients with diverse tumor types harboring RET gene rearrangements or activating mutations. In order to understand resistance mechanisms arising after treatment with RET inhibitors, we performed a comprehensive molecular and genomic analysis of a patient with RET-rearranged thyroid cancer. Using a combination of drug screening and proteomic and biochemical profiling, we identified an adaptive resistance to RET inhibitors that reactivates ERK signaling within hours of drug exposure. We found that activation of FGFR signaling is a mechanism of adaptive resistance to RET inhibitors that activates ERK signaling. Combined inhibition of FGFR and RET prevented the development of adaptive resistance to RET inhibitors, reduced cell viability, and decreased tumor growth in cellular and animal models of CCDC6-RET-rearranged thyroid cancer.

Nephele: a cloud platform for simplified, standardized and reproducible microbiome data analysis.

Motivation: Widespread interest in the study of the microbiome has resulted in data proliferation and the development of powerful computational tools. However, many scientific researchers lack the time, training, or infrastructure to work with large datasets or to install and use command line tools. Results: The National Institute of Allergy and Infectious Diseases (NIAID) has created Nephele, a cloud-based microbiome data analysis platform with standardized pipelines and a simple web interface for transforming raw data into biological insights. Nephele integrates common microbiome analysis tools as well as valuable reference datasets like the healthy human subjects cohort of the Human Microbiome Project (HMP). Nephele is built on the Amazon Web Services cloud, which provides centralized and automated storage and compute capacity, thereby reducing the burden on researchers and their institutions. Availability and implementation: https://nephele.niaid.nih.gov and https://github.com/niaid/Nephele. Contact: darrell.hurt@nih.gov.

The secreted proteins of Achlya hypogyna and Thraustotheca clavata identify the ancestral oomycete secretome and reveal gene acquisitions by horizontal gene transfer.

Saprotrophic and parasitic microorganisms secrete proteins into the environment to breakdown macromolecules and obtain nutrients. The molecules secreted are collectively termed the "secretome" and the composition and function of this set of proteins varies depending on the ecology, life cycle, and environment of an organism. Beyond the function of nutrient acquisition, parasitic lineages must also secrete molecules to manipulate their host. Here, we use a combination of de novo genome and transcriptome sequencing and bioinformatic identification of signal peptides to identify the putative secreted proteome of two oomycetes, the facultative parasite Achlya hypogyna and free-living Thraustotheca clavata. By comparing the secretomes of these saprolegnialean oomycetes with that of eight other oomycetes, we were able to characterize the evolution of this protein set across the oomycete clade. These species span the last common ancestor of the two major oomycete families allowing us to identify the ancestral secretome. This putative ancestral secretome consists of at least 84 gene families. Only 11 of these gene families are conserved across all 10 secretomes analyzed and the two major branches in the oomycete radiation. Notably, we have identified expressed elicitin-like effector genes in the saprotrophic decomposer, T. clavata. Phylogenetic analyses show six novel horizontal gene transfers to the oomycete secretome from bacterial and fungal donor lineages, four of which are specific to the Saprolegnialeans. Comparisons between free-living and pathogenic taxa highlight the functional changes of oomycete secretomes associated with shifts in lifestyle.

Mitochondrial genome sequences and comparative genomics of Achlya hypogyna and Thraustotheca clavata.

As a lineage, oomycetes have adapted to a wide range of lifestyles. Although the common ancestor of the group was likely a marine pathogen, extant members inhabit a spectrum from free-living saprobes to obligate biotrophs. The mitochondrial genomes of Achlya hypogyna and Thraustotheca clavata were sequenced to directly compare a facultative parasitic species (A. hypogyna) to a closely related free living saprobe (T. clavata). Both sequenced mitochondrial genomes are circular, with sizes of 46,869 bp for A. hypogyna and 47,381 bp for T. clavata. They share 63 common genes, indicating little influence of lifestyle on gene content, but small differences in total number and order of genes. Achlya hypogyna has a single copy of nad2, whereas T. clavata has one pseudogene (rps7) and two duplicated genes (nad5 and nad2), each with one full and one truncated copy. The genomes encode a total of 29 or 30 tRNAs (A. hypogyna and T. clavata, respectively) for 19 amino acids. Three unidentified open reading frames are conserved, and one is unique to T. clavata. Comparisons of these genomes with published sequences of the closely related Saprolegnia ferax mitochondrial genome, and four other more distantly related oomycetes, reveals no correlation in genome content or architecture with lifestyle.

Sequence comparative analysis using networks: software for evaluating de novo transcript assembly from next-generation sequencing.

DNA sequencing technology is becoming more accessible to a variety of researchers as costs continue to decline. As researchers begin to sequence novel transcriptomes, most of these data sets lack a reference genome and will have to rely on de novo assemblers. Making comparisons across assemblies can be difficult: each program has its strengths and weaknesses, and no tool exists to comparatively evaluate these data sets. We developed software in R, called Sequence Comparative Analysis using Networks (SCAN), to perform statistical comparisons between distinct assemblies. SCAN uses a reference data set to identify the most accurate de novo assembly and the "good" transcripts in the user's data. We tested SCAN on three publicly available transcriptomes, each assembled using three assembly programs. Moreover, we sequenced the transcriptome of the oomycete Achlya hypogyna and compared de novo assemblies from Velvet, ABySS, and the CLC Genomics Workbench assembly algorithms. One thousand one hundred twenty-eight of the CLC transcripts were statistically similar to the reference, compared with 49 of the Velvet transcripts and 937 of the ABySS transcripts. SCAN's strength is providing statistical support for transcript assemblies in a biological context. However, SCAN is designed to compare distinct node sets in networks, therefore it can also easily be extended to perform statistical comparisons on any network graph regardless of what the nodes represent.

Structure and biosynthesis of amphidinol 17, a hemolytic compound from Amphidinium carterae.

Amphidinol 17 (AM17; 1), a novel amphidinol, has been isolated from a Bahamas strain of Amphidinium carterae. This new congener contains the signature hairpin region and a Delta(6) polyene arm, whereas the polyol arm is distinct from those of other amphidinols. The pattern of acetate incorporation in 1 was directly determined by feeding a single labeled substrate, [2-(13)C]acetate. While the highly conserved regions within the amphidinol family of AM17 have exhibited identical occurrences of cleaved acetates to other amphidinols for which the biosynthesis has been explored, the polyol arm for AM17 displays a higher degree of nascent chain processing that shows similarities to amphidinolide biosynthesis. AM17 exhibited an EC(50) of 4.9 microM in a hemolytic assay using human red blood cells but displayed no detectable antifungal activity.