Emergence of drug resistance to all available therapies is the major challenge to improving survival in myeloma. Cereblon (CRBN) is the essential binding protein of the widely-used IMiD and novel CelMOD drugs in myeloma, as well as certain PROTACs in development for a range of diseases. Using whole genome sequencing data from 455 patients and RNASeq data from 655 patients, including a newly-diagnosed cohort (n=198 WGS, n=437 RNASeq), a lenalidomide (LEN)-refractory cohort (n=203 WGS, n=176 RNASeq) and a pomalidomide (POM)-refractory cohort (n=54 WGS, n=42 RNASeq), we find incremental increase in the frequency of three CRBN aberrations, namely point mutations, copy loss/structural variation and a specific variant transcript (exon 10-spliced), with progressive IMiD exposure, until almost one third of patients have CBRN alterations by the time they are POM-refractory. We find all 3 CRBN aberrations are associated with an inferior outcome to POM in those already refractory to LEN, including those with gene copy loss and structural variation, which has not previously been described. This is the first comprehensive analysis of CBRN alterations in myeloma patients as they progress through therapy, and the largest dataset. It will help inform patient selection for sequential therapies with CRBN-targeting drugs.

Ninety per cent of marine organic matter burial occurs in continental margin sediments, where a substantial fraction of organic carbon escapes oxidation and enters long-term geologic storage within sedimentary rocks. In such environments, microbial metabolism is limited by the diffusive supply of electron acceptors. One strategy to optimize energy yields in a resource-limited habitat is symbiotic metabolite exchange among microbial associations. Thermodynamic and geochemical considerations indicate that microbial co-metabolisms are likely to play a critical part in sedimentary organic carbon cycling. Yet only one association, between methanotrophic archaea and sulphate-reducing bacteria, has been demonstrated in marine sediments in situ, and little is known of the role of microbial symbiotic interactions in other sedimentary biogeochemical cycles. Here we report in situ molecular and incubation-based evidence for a novel symbiotic consortium between two chemolithotrophic bacteria--anaerobic ammonium-oxidizing (anammox) bacteria and the nitrate-sequestering sulphur-oxidizing Thioploca species--in anoxic sediments of the Soledad basin at the Mexican Pacific margin. A mass balance of benthic solute fluxes and the corresponding nitrogen isotope composition of nitrate and ammonium fluxes indicate that anammox bacteria rely on Thioploca species for the supply of metabolic substrates and account for about 57 ± 21 per cent of the total benthic N2 production. We show that Thioploca-anammox symbiosis intensifies benthic fixed nitrogen losses in anoxic sediments, bypassing diffusion-imposed limitations by efficiently coupling the carbon, nitrogen and sulphur cycles.

Fermentation has historically played an important role in the production of several commodities such as bread and alcoholic beverages. Today, fermentation is also used to produce specific flavor compounds in multiple industries. Flavor compounds are secondary metabolites produced during fermentation in addition to primary metabolites, such as ethanol. Secondary metabolism is influenced by fermentable carbon, nitrogen makeup, and the fermentation environment. A better understanding of how these variables affect the physiology of yeast strains to produce flavor compounds may improve several industrial commodities. To this end, systems biology represents an attractive strategy for studying the complex dynamics of secondary metabolism. Although applying systems biology methods to winemaking or brewing is not a new concept, directly linking -omics data with the production of flavor compounds represents a novel approach to improving flavor production in fermentation. Thus far, the bulk of the work in which systems biology methods have been applied to fermentation has relied heavily on laboratory strains of Saccharomyces cerevisiae that lack metabolism-relevant genes present in industrial yeast strains. Therefore, investigations of industrial strains with systems biology approaches will provide a deeper understanding of secondary metabolism in industrial settings. Ultimately, integrating multiple -omics approaches will lay the foundation for predictive models of S. cerevisiae fermentation and optimal flavor production.

Upon exposure to CO during anaerobic growth, the purple phototrophic bacterium Rhodospirillum rubrum expresses a CO-oxidizing H(2) evolving enzymatic system. The CO-oxidizing enzyme, carbon monoxide dehydrogenase (CODH), has been purified and extensively characterized. However the electron transfer pathway from CODH to the CO-induced hydrogenase that evolves H(2) is not well understood. CooF is an Fe-S protein that is the proposed mediator of electron transfer between CODH and the CO-induced hydrogenase. Here we present the spectroscopic and biochemical properties of the CODH:CooF complex. The characteristic EPR signals observed for CODH are largely insensitive to CooF complexation. Metal analysis and EPR spectroscopy show that CooF contains 2 Fe(4)S(4) clusters. The observation of 2 Fe(4)S(4) clusters for CooF contradicts the prediction of 4 Fe(4)S(4) clusters based on analysis of the amino acid sequence of CooF and structural studies of CooF homologs. Comparison of in vivo and in vitro CO-dependent H(2) evolution indicates that approximately 90% of the activity is lost upon cell lysis. We propose that the loss of two labile Fe-S clusters from CooF during cell lysis may be responsible for the low in vitro CO-dependent H(2) evolution activity. During the course of these studies, a new assay for CODH:CooF was developed using membranes from an R. rubrum mutant that did not express CODH:CooF, but expressed high levels of the CO-induced hydrogenase. The assay revealed that the CO-induced hydrogenase requires the presence of CODH:CooF for optimal H(2) evolution activity.

A vineyard isolate of the yeast Saccharomyces cerevisiae, UCD932, was identified as a strain producing little or no detectable hydrogen sulfide during wine fermentation. Genetic analysis revealed that this trait segregated as a single genetic determinant. The gene also conferred a white colony phenotype on BiGGY agar (bismuthglucose-glycine-yeast agar), which is thought to indicate low basal levels of sulfite reductase activity. However, this isolate does not display a requirement for S-containing amino acids, indicating that the sulfate reduction pathway is fully operational. Genetic crosses against known mutations conferring white colony color on BiGGY agar identified the gene leading to reduced H 2 S formation as an allele of MET10 (MET10-932), which encodes a catalytic subunit of sulfite reductase. Sequence analysis of MET10-932 revealed several corresponding amino acid differences in relation to laboratory strain S288C. Allele differences for other genes of the sulfate reduction pathway were also detected in UCD932. The MET10 allele of UCD932 was found to be unique in comparison to the sequences of several other vineyard isolates with differing levels of production of H 2 S. Replacing the MET10 allele of high-H 2 S-producing strains with MET10-932 prevented H 2 S formation by those strains. A single mutative change, corresponding to T662K, in MET10-932 resulted in a loss of H 2 S production. The role of site 662 in sulfide reduction was further analyzed by changing the encoded amino acid at this position. A change back to threonine or to the conservative serine fully restored the H 2 S formation conferred by this allele. In addition to T662K, arginine, tryptophan, and glutamic acid substitutions similarly reduced sulfide formation.

Traditional real-time quantitative polymerase chain reaction protocols cannot be used accurately with symbiotic organisms unless the relative contribution of each symbiotic compartment to the total nucleic acid pool is known. A modified 'universal reference gene' protocol was created for reef-building corals and sea anemones, anthozoans that harbour endosymbiotic dinoflagellates belonging to the genus Symbiodinium. Gene expression values are first normalized to an RNA spike and then to a symbiont molecular proxy that represents the number of Symbiodinium cells extracted and present in the RNA. The latter is quantified using the number of genome copies of heat shock protein-70 (HSP70) amplified in the real-time quantitative polymerase chain reaction. Gene expression values are then normalized to the total concentration of RNA to account for differences in the amount of live tissue extracted among experimental treatments and replicates. The molecular quantification of symbiont cells and effect of increasing symbiont contributions to the nucleic acid pool on gene expression were tested in vivo using differentially infected sea anemones Aiptasia pulchella. This protocol has broad application to researchers who seek to measure gene expression in mixed organism assemblages.

Protists have traditionally been identified by cultivation and classified taxonomically based on their cellular morphologies and behavior. In the past decade, however, many novel protist taxa have been identified using cultivation independent ssu rRNA sequence surveys. New rRNA “phylotypes” from uncultivated eukaryotes have no connection to the wealth of prior morphological descriptions of protists. To link phylogenetically informative sequences with taxonomically informative morphological descriptions, we demonstrate several methods for combining whole cell rRNA-targeted fluorescent in situ hybridization (FISH) with cytoskeletal or organellar immunostaining. Either eukaryote or ciliate-specific ssu rRNA probes were combined with an anti-α-tubulin antibody or phalloidin, a common actin stain, to define cytoskeletal features of uncultivated protists in several environmental samples. The eukaryote ssu rRNA probe was also combined with Mitotracker® or a hydrogenosomal-specific anti-Hsp70 antibody to localize mitochondria and hydrogenosomes, respectively, in uncultivated protists from different environments. Using rRNA probes in combination with immunostaining, we linked ssu rRNA phylotypes with microtubule structure to describe flagellate and ciliate morphology in three diverse environments, and linked Naegleria spp. to their amoeboid morphology using actin staining in hay infusion samples. We also linked uncultivated ciliates to morphologically similar Colpoda-like ciliates using tubulin immunostaining with a ciliate-specific rRNA probe. Combining rRNA-targeted FISH with cytoskeletal immunostaining or stains targeting specific organelles provides a fast, efficient, high throughput method for linking genetic sequences with morphological features in uncultivated protists. When linked to phylotype, morphological descriptions of protists can both complement and vet the increasing number of sequences from uncultivated protists, including those of novel lineages, identified in diverse environments.

Embryoid bodies (EBs) and self-organizing organoids derived from human pluripotent stem cells (hPSCs) recapitulate tissue development in a dish and hold great promise for disease modeling and drug development. However, current protocols are hampered by cellular stress and apoptosis during cell aggregation, resulting in variability and impaired cell differentiation. Here, we demonstrate that EBs and various organoid models (e.g., brain, gut, and kidney) can be optimized by using the CEPT small molecule cocktail, a polypharmacology approach that ensures cytoprotection and cell survival. Application of CEPT (chroman 1, emricasan, polyamines, trans-ISRIB) for just 24 hours during cell aggregation has long-lasting consequences affecting morphogenesis, gene expression, and cellular differentiation. Various qualification methods confirmed that CEPT treatment consistently improved EB and organoid fitness as compared to the widely used ROCK inhibitor Y-27632. Collectively, we discovered that stress-free cell aggregation and superior cell survival in the presence of CEPT are critical quality control determinants that establish a robust foundation for bioengineering complex tissue and organ models.