Preimmunization correlates of protection shared across malaria vaccine trials in adults

Identifying preimmunization biological characteristics that promote an effective vaccine response offers opportunities for illuminating the critical immunological mechanisms that confer vaccine-induced protection, for developing adjuvant strategies, and for tailoring vaccination regimens to individuals or groups. In the context of malaria vaccine research, studying preimmunization correlates of protection can help address the need for a widely effective malaria vaccine, which remains elusive. In this study, common preimmunization correlates of protection were identified using transcriptomic data from four independent, heterogeneous malaria vaccine trials in adults. Systems-based analyses showed that a moderately elevated inflammatory state prior to immunization was associated with protection against malaria challenge. Functional profiling of protection-associated genes revealed the importance of several inflammatory pathways, including TLR signaling. These findings, which echo previous studies that associated enhanced preimmunization inflammation with protection, illuminate common baseline characteristics that set the stage for an effective vaccine response across diverse malaria vaccine strategies in adults.

Efficient generation of lower induced Motor Neurons by coupling Ngn2 expression with developmental cues

Human pluripotent stem cells (hPSCs) are a powerful tool for disease modelling and drug discovery, especially when access to primary tissue is limited, such as in the brain. Current neuronal differentiation approaches use either small molecules for directed differentiation or transcription-factor-mediated programming. In this study we coupled the overexpression of the neuralising transcription factor Neurogenin2 (Ngn2) with small molecule patterning to differentiate hPSCs into lower induced Motor Neurons (liMoNes). We showed that this approach induced activation of the motor neuron (MN) specific transcription factor Hb9/MNX1, using an Hb9::GFP-reporter line, with up to 95% of cells becoming Hb9::GFP+. These cells acquired and maintained expression of canonical early and mature MN markers. Molecular and functional profiling revealed that liMoNes resembled bona fide hPSC-derived MN differentiated by conventional small molecule patterning. liMoNes exhibited spontaneous electrical activity, expressed synaptic markers and formed contacts with muscle cells in vitro. Pooled, multiplex single-cell RNA sequencing on 50 cell lines revealed multiple anatomically distinct MN subtypes of cervical and brachial, limb-innervating MNs in reproducible quantities. We conclude that combining small molecule patterning with Ngn2 can facilitate the high-yield, robust and reproducible production of multiple disease-relevant MN subtypes, which is fundamental in the path to propel forward our knowledge of motoneuron biology and its disruption in disease.

Functional profiling of long intergenic non-coding RNAs in fission yeast

Eukaryotic genomes express numerous long intergenic non-coding RNAs (lincRNAs) that do not overlap any coding genes. Some lincRNAs function in various aspects of gene regulation, but it is not clear in general to what extent lincRNAs contribute to the information flow from genotype to phenotype. To explore this question, we systematically analysed cellular roles of lincRNAs in Schizosaccharomyces pombe. Using seamless CRISPR/Cas9-based genome editing, we deleted 141 lincRNA genes to broadly phenotype these mutants, together with 238 diverse coding-gene mutants for functional context. We applied high-throughput colony-based assays to determine mutant growth and viability in benign conditions and in response to 145 different nutrient, drug, and stress conditions. These analyses uncovered phenotypes for 47.5% of the lincRNAs and 96% of the protein-coding genes. For 110 lincRNA mutants, we also performed high-throughput microscopy and flow cytometry assays, linking 37% of these lincRNAs with cell-size and/or cell-cycle control. With all assays combined, we detected phenotypes for 84 (59.6%) of all lincRNA deletion mutants tested. For complementary functional inference, we analysed colony growth of strains ectopically overexpressing 113 lincRNA genes under 47 different conditions. Of these overexpression strains, 102 (90.3%) showed altered growth under certain conditions. Clustering analyses provided further functional clues and relationships for some of the lincRNAs. These rich phenomics datasets associate lincRNA mutants with hundreds of phenotypes, indicating that most of the lincRNAs analysed exert cellular functions in specific environmental or physiological contexts. This study provides groundwork to further dissect the roles of these lincRNAs in the relevant conditions.

Chemoproteomics of microbiota metabolites reveals small-molecule agonists for orphan receptor GPRC5A

The microbiota generates diverse metabolites that can engage multiple pathways to modulate host physiology and disease, but their protein targets and mechanism(s) of action have not been fully elucidated. To address this challenge, we focused on indole-3-acetic acid (IAA), a prominent microbiota metabolite, and developed IAA-based chemical reporters for proteomic studies. We discovered that IAA interacts with many proteins in host cells, including small-molecule transporters, receptors and metabolic enzymes. Notably, our functional studies revealed that IAA binds to orphan G protein-coupled receptors such as GPRC5A, but only aromatic monoamines were capable of inducing GPRC5A signaling. Functional profiling of microbiota uncovered specific bacterial species and enzymes that generate GPRC5A agonists. Finally, biochemical characterization of GPRC5A activation identified more potent synthetic agonists as well as key amino acid residues involved in ligand binding. These studies highlight the utility of chemoproteomics to dissect protein targets and mechanisms of action for microbiota metabolites.

Accelerated discovery of novel glycoside hydrolases using targeted functional profiling and selective pressure on the rumen microbiome

Background Carbohydrate-active enzymes (CAZymes) form the most widespread and structurally diverse set of enzymes involved in the breakdown, biosynthesis, or modification of lignocellulose that can be found in living organisms. However, the structural diversity of CAZymes has rendered the targeted discovery of novel enzymes extremely challenging, as these proteins catalyze many different chemical reactions and are sourced by a vast array of microbes. Consequently, many uncharacterized members of CAZyme families of interest have been overlooked by current methodologies (e.g., metagenomic screening) used to discover lignocellulolytic enzymes. Results In the present study, we combined phenotype-based selective pressure on the rumen microbiota with targeted functional profiling to guide the discovery of unknown CAZymes. In this study, we found 61 families of glycoside hydrolases (GH) (out of 182 CAZymes) from protein sequences deposited in the CAZy database—currently associated with more than 20,324 microbial genomes. Phenotype-based selective pressure on the rumen microbiome showed that lignocellulolytic bacteria (e.g., Fibrobacter succinogenes, Butyrivibrio proteoclasticus) and three GH families (e.g., GH11, GH13, GH45) exhibited an increased relative abundance in the rumen of feed efficient cattle when compared to their inefficient counterparts. These results paved the way for the application of targeted functional profiling to screen members of the GH11 and GH45 families against a de novo protein reference database comprised of 1184 uncharacterized enzymes, which led to the identification of 18 putative xylanases (GH11) and three putative endoglucanases (GH45). The biochemical proof of the xylanolytic activity of the newly discovered enzyme validated the computational simulations and demonstrated the stability of the most abundant xylanase. Conclusions These findings contribute to the discovery of novel enzymes for the breakdown, biosynthesis, or modification of lignocellulose and demonstrate that the rumen microbiome is a source of promising enzyme candidates for the biotechnology industry. The combined approaches conceptualized in this study can be adapted to any microbial environment, provided that the targeted microbiome is easy to manipulate and facilitates enrichment for the microbes of interest.

CBIO-27. INTEGRATED FUNCTIONAL AND MOLECULAR CHARACTERIZATION OF THE INTRINSIC APOPTOTIC MACHINERY IDENTIFIES THERAPEUTIC VULNERABILITIES IN GLIOBLASTOMA

Molecular profiling frequently fails to predict therapeutic outcomes in cancer. This is in part due to the myriad of genetic alterations comprising a tumor which enable rapid rewiring of cancer signaling pathways. Functional profiling ascertains signaling dynamics and has emerged as an alternative method to predict drug responses. It is unknown whether incorporating molecular with functional profiling offers superior insight into specific tumor dependencies and consequently therapeutic susceptibilities. Here we performed integrated molecular and functional characterization (via BH3 profiling) of the intrinsic apoptotic machinery in 50 GBM patient specimens. We found that treatment with standard of care (e.g., temozolomide or radiation) rewired the apoptotic machinery in a p53 dependent manner, eliciting an exclusive survival dependency on BCL-xL in a genetically defined subset of GBM tumors. However, functional BH3 profiling of ‘apoptotic priming’ was required to predict response to combined IR/TMZ and BCL-xL inhibition in p53 WT GBM tumors. Accordingly, a composite of genetic and functional profiling predicted the response of patient derived GBM models to IR/TMZ with a novel GBM specific BCLxL antagonist. Collectively, these studies identify the mechanisms of intrinsic apoptosis resistance in GBM and demonstrate how functional and molecular data can be complementary to robustly predict therapy-induced cell death.

The importance of age in compositional and functional profiling of the human intestinal microbiome

The intestinal microbiome plays a central role in human health and disease. While its composition is relatively stable throughout adulthood, the microbial balance starts to decrease in later life stages. Thus, in order to maintain a good quality of life, including the prevention of age-associated diseases in the elderly, it is important to understand the dynamics of the intestinal microbiome. In this study, stool samples of 278 participants were sequenced by whole metagenome shotgun sequencing and their taxonomic and functional profiles characterized. The two age groups, below65 and above65, could be separated based on taxonomic and associated functional features using Multivariate Association of Linear Models. In a second approach, through machine learning, biomarkers connecting the intestinal microbiome with age were identified. These results reflect the importance to select age-matched study groups for unbiased metagenomic data analysis and the possibility to generate robust data by applying independent algorithms for data analysis. Furthermore, since the intestinal microbiome can be modulated by antibiotics and probiotics, the data of this study may have implications on preventive strategies of age-associated degradation processes and diseases by microbiome-altering interventions.

PSXI-28 Effect of pre-slaughter transport stress on carcass weight, rumen fermentation and bacterial community of growing goats

This study evaluated the effects of pre-slaughter transport stress on the rumen fermentation and bacterial community of growing meat goats. Fifty-four male Spanish growing meat goats (28.9 ± 4.5) were stratified by body weight and randomly assigned into three treatment groups (n = 18 per treatment; 1) No transport stress (CON), 2) Transport stress for 30 mins (LS), and 3) Transport stress for 3 h (HS). Blood samples were collected before and after transport to estimate plasma cortisol concentrations. At the end of the experiment, the goats were slaughtered to determine the carcass weight and to collect rumen ruminal content for pH, 16 sRNA gene sequencing, and volatile fatty acid profile. The Linear discriminant analysis (LDA) effect size and the functional profiling software (PICRUst) were used to estimate the differentially abundant taxa and predicted the functional potential of the microbial community, respectively. Compared to CON, both LS and HS increased (P < 0.01) plasma cortisol concentrations (27.5 vs. 130.1 and 117.7 ng/ mL), no differences were observed in hot carcass weight and VFA profile (P > 0.05). Rumen pH was lower (P < 0.05) in HS compared to CON or LS (6.44 vs 6.75 or 6.77). Compared to CON, LS reduced the relative abundance of Ruminococcaceae UCG 014 (LDA = 4.20; P = 0.01), whereas no effect was observed for HS. Compared to CON, predicted microbial functions associated with the immune system, translation, and enzyme activities were downregulated by LS while that of energy metabolism was downregulated by HS. Compared to HS, the predicted microbial functions associated with immune and digestive systems were downregulated by LS. This study demonstrated that LS transport stress has a more pronounced effect than long-term exposure on the rumen bacterial community and predicted functional potential in growing meat goats.