Miracle-dz/UniFAR-FTUs huggingface dataset:
Tumor Microenvironment Alters Chemoresistance of Hepatocellular Carcinoma Through CYP3A4 Metabolic Activity

Variations in tumor biology from patient to patient combined with the low overall survival rate of hepatocellular carcinoma (HCC) present significant clinical challenges. During the progression of chronic liver diseases from inflammation to the development of HCC, microenvironmental properties, including tissue stiffness and oxygen concentration, change over time. This can potentially impact drug metabolism and subsequent therapy response to commonly utilized therapeutics, such as doxorubicin, multi-kinase inhibitors (e.g., sorafenib), and other drugs, including immunotherapies. In this study, we utilized four common HCC cell lines embedded in 3D collagen type-I gels of varying stiffnesses to mimic normal and cirrhotic livers with environmental oxygen regulation to quantify the impact of these microenvironmental factors on HCC chemoresistance. In general, we found that HCC cells with higher baseline levels of cytochrome p450-3A4 (CYP3A4) enzyme expression, HepG2 and C3Asub28, exhibited a cirrhosis-dependent increase in doxorubicin chemoresistance. Under the same conditions, HCC cell lines with lower CYP3A4 expression, HuH-7 and Hep3B2, showed a decrease in doxorubicin chemoresistance in response to an increase in microenvironmental stiffness. This differential therapeutic response was correlated with the regulation of CYP3A4 expression levels under the influence of stiffness and oxygen variation. In all tested HCC cell lines, the addition of sorafenib lowered the required doxorubicin dose to induce significant levels of cell death, demonstrating its potential to help reduce systemic doxorubicin toxicity when used in combination. These results suggest that patient-specific tumor microenvironmental factors, including tissue stiffness, hypoxia, and CYP3A4 activity levels, may need to be considered for more effective use of chemotherapeutics in HCC patients.
A systematic analysis of genetically regulated differences in gene expression and the role of co-expression networks across 16 psychiatric disorders and substance use phenotypes

Genome-wide association studies (GWASs) have identified thousands of risk loci for many psychiatric and substance use phenotypes, however the biological consequences of these loci remain largely unknown. We performed a transcriptome-wide association study of 10 psychiatric disorders and 6 substance use phenotypes (collectively termed “mental health phenotypes”) using expression quantitative trait loci data from 532 prefrontal cortex samples. We estimated the correlation due to predicted genetically regulated expression between pairs of mental health phenotypes, and compared the results with the genetic correlations. We identified 1,645 genes with at least one significant trait association, comprising 2,176 significant associations across the 16 mental health phenotypes of which 572 (26%) are novel. Overall, the transcriptomic correlations for phenotype pairs were significantly higher than the respective genetic correlations. For example, attention deficit hyperactivity disorder and autism spectrum disorder, both childhood developmental disorders, showed a much higher transcriptomic correlation (r=0.84) than genetic correlation (r=0.35). Finally, we tested the enrichment of phenotype-associated genes in gene co-expression networks built from prefrontal cortex. Phenotype-associated genes were enriched in multiple gene co-expression modules and the implicated modules contained genes involved in mRNA splicing and glutamatergic receptors, among others. Together, our results highlight the utility of gene expression data in the understanding of functional gene mechanisms underlying psychiatric disorders and substance use phenotypes.
The DEAD-box RNA helicase RhlE2 is a global regulator of Pseudomonas aeruginosa lifestyle and pathogenesis

The RhlE DEAD-box RNA helicase protein family is widespread among Proteobacteria, but it is the least understood due to the lack of a clear biological function. Here, we study the two RhlE homologs present in the opportunistic pathogen Pseudomonas aeruginosa. RhlE1 and RhlE2 diverged during P. aeruginosa evolution; our data indicate that this resulted in a non-redundant biological role, a distinct molecular action and an enzymatic activity differentially stimulated by RNA. Whereas RhlE1 is specifically necessary for bacteria growth in cold, we show that RhlE2 acts as global post-transcriptional regulator, affecting the level of hundreds of cellular transcripts and multiple functionalities indispensable not only for P. aeruginosa environmental adaptation, but also for its virulence. The global action of RhlE2 relies on a unique C-terminal extension, which establishes an RNA-dependent interaction with the RNase E endonuclease and the cellular RNA degradation machinery.
Genomic and Phenotypic Biology of Novel Strains of Dickeya zeae Isolated From Pineapple and Taro in Hawaii: Insights Into Genome Plasticity, Pathogenicity, and Virulence Determinants

Dickeya zeae, a bacterial plant pathogen in the family Pectobacteriaceae, is responsible for a wide range of diseases on potato, maize, rice, banana, pineapple, taro and ornamentals and significantly reduces crop production; D. zeae causes soft rot of taro (Colocasia esculenta) and heart rot of pineapple (Ananas comosus). In this study, we used Pacific Biosciences to sequence two high quality complete genomes of novel strains of D. zeae: PL65 (size - 4.74997 MB; depth - 701; GC - 53.3%) and A5410 (size - 4.7792 MB; depth - 558; GC - 53.6%) isolated from economically important Hawaiian crops, taro and pineapple, respectively. Additional complete genomes of D. zeae representing two additional hosts (rice and banana), and other species for taxonomic comparison, were retrieved from the NCBI GenBank genome database. The genomic analyses indicated truncated type III and IV secretion systems (T3SS and T4SS) in the taro strain, which only harbors 1 and 2 genes of T3SS and T4SS, respectively, and showed high heterogeneity in the type VI secretion system. Unlike the EC1 strain, neither the PL65 nor the A5410 genome harbors the zeamine biosynthesis gene cluster, which plays a key role in bacterial virulence. The ANI and dDDH percentages between the two genomes were 94.47 and 57.00, respectively. In this study, we compared major virulence factors (plant cell wall-degrading extracellular enzymes and protease) produced by D. zeae strains and virulence ability on taro corms and pineapple. Both strains produced protease, pectate lyases and cellulases but no significant quantitative differences were observed (p>0.05) among the strains. All the strains produced symptoms on taro corms and pineapple leaves. Strain PL65 developed symptoms faster than the others. Our study highlights genetic constituents of pathogenicity determinants and genomic heterogeneity that will help understand the virulence mechanisms and aggressiveness of this plant pathogen.
THE RELATION BETWEEN THE RATE OF CHANGE OF MONEY WAGE AND UNEMPLOYMENT RATES IN THE FRAME OF THE MICROECONOMIC DYNAMICS1

Abstract: The Phillips curve is a basic tool to understand relations between the growth rate of money wage and unemployment rates. Economic dynamics literature contains numerous precious analyses of the Phillips curve. Authors mostly automatically assume that the Phillips curve defi nes money wage growth rate, or infl ation rate as a decreasing and convex function of unemployment rate, or output gap and as an increasing function of expected money wage growth, or expected infl ation rate. Basic models of the economic dynamics are the original market equilibrium models. If the subject of dynamic analyses is labour market – market commodity is labour and its price is money wage – we can derive the Phillips curve. Books and lectures on economic dynamics could be enriched with this approach. Such analyses could help to understand why the Phillips curve is decreasing or why it should be augmented by expectations.
Population structure limits parallel evolution

Population genetic theory predicts that small effective population sizes (Ne) and restricted gene flow limit the potential for local adaptation. In particular, the probability of evolving similar phenotypes based on shared genetic mechanisms (i.e. parallel evolution), is expected to be reduced. We tested these predictions in a comparative genomic study of two ecologically similar and geographically co-distributed stickleback species (viz. Gasterosteus aculeatus and Pungitius pungitius). We found that P. pungitius harbours less genetic diversity and exhibits higher levels of genetic differentiation and isolation-by-distance than G. aculeatus. Conversely, G. aculeatus exhibits a stronger degree of genetic parallelism across freshwater populations than P. pungitius: 2996 vs. 379 SNPs located within 26 vs nine genomic regions show evidence of selection in multiple freshwater populations of G. aculeatus and P. pungitius, respectively. Most regions involved in parallel evolution in G. aculeatus showed increased levels of divergence, suggestive of selection on ancient haplotypes. In contrast, regions involved in freshwater adaptation in P. pungitius were younger, and often associated with reduced diversity. In accordance with theory, the results suggest that connectivity and genetic drift play crucial roles in determining the levels and geographic distribution of standing genetic variation, providing evidence that population subdivision limits local adaptation and therefore also the likelihood of parallel evolution.
Evidence of Chelonid Herpesvirus 5 (ChHV5) in Green Turtles (Chelonia mydas) from Sabah, Borneo

Fibropapillomatosis (FP) is characterized by cutaneous tumours and is associated with Chelonid herpesvirus 5 (ChHV5), an alphaherpesvirus from the family Herpesviridae. Here, we provide the first evidence of ChHV5-associated FP in endangered Green turtles (Chelonia mydas) from Sabah, which is located at the northern region of Malaysian Borneo. The aims of this study were firstly, to determine the presence of ChHV5 in both tumour exhibiting and tumour-free turtles using molecular techniques and secondly, to determine the phylogeography of ChHV5 in Sabah. We also aim to provide evidence of ChHV5 infection through histopathological examinations. A total of 115 Green turtles were sampled from Mabul Island, Sabah. We observed three Green turtles that exhibited FP tumours and were positive for ChHV5.In addition, six clinically healthy turtles were also positive for the virus based on Polymerase Chain Reaction of three viral genes (Capsid protein gene UL18, Glycoprotein H gene UL22 and Glycoprotein B gene UL27). The prevalence of the ChHV5 was 5.22% in asymptomatic Green turtles. Epidermal intranuclear inclusions were identified in tumour lesions upon histopathological examination. Thus, the emergence of ChHV5 in Green turtle in the waters of Sabah could indicate a possible threat to sea turtle populations in the future and requires further monitoring of the populations along the Bornean coast.
Resurrection of a Viral Internal Ribosome Entry Site from a 700 Year Old Ancient Northwest Territories Cripavirus

The dicistrovirus intergenic region internal ribosome entry site (IGR IRES) uses an unprecedented streamlined mechanism whereby the IRES adopts a triple-pseudoknot (PK) structure to directly bind to the conserved core of the ribosome and drive translation from a non-AUG codon. The origin of this IRES mechanism is not known. Previously, a partial fragment of a divergent dicistrovirus RNA genome, named ancient Northwest territories cripavirus (aNCV), was extracted from 700-year-old caribou feces trapped in a subarctic ice patch. Structural prediction of the aNCV IGR sequence generated a secondary structure similar to contemporary IGR IRES structures. There are, however, subtle differences including 105 nucleotides upstream of the IRES of unknown function. Using filter binding assays, we showed that the aNCV IGR IRES could bind to purified salt-washed human ribosomes and compete with a prototypical IGR IRES for ribosomes. Toeprinting analysis using primer extension pinpointed the putative start site of the aNCV IGR at a GCU alanine codon adjacent to PKI. Using a bicistronic reporter RNA, the aNCV IGR IRES can direct internal ribosome entry in vitro in a manner dependent on the integrity of the PKI domain. Lastly, we generated a chimeric virus clone by swapping the aNCV IRES into the cricket paralysis virus infectious clone. The chimeric infectious clone with an aNCV IGR IRES supported translation and virus infection. The characterization and resurrection of a functional IGR IRES from a divergent 700-year-old virus provides a historical framework in the importance of this viral translational mechanism. IMPORTANCE Internal ribosome entry sites are RNA structures that are used by some positive-sense monopartite RNA viruses to drive viral protein synthesis. The origin of internal ribosome entry sites is not known. Using biochemical approaches, we demonstrate that an RNA structure from an ancient viral genome that was discovered from a 700-year-old caribou feces trapped in subarctic ice is functionally similar to modern internal ribosome entry sites. We resurrect this ancient RNA mechanism by demonstrating that it can support virus infection in a contemporary virus clone, thus providing insights into the origin and evolution of this viral strategy.
Adherent and suspension baby hamster kidney cells have a different cytoskeleton and surface receptor repertoire

Animal cell culture, with single cells growing in suspension, ideally in a chemically defined environment, is a mainstay of biopharmaceutical production. The synthetic environment lacks exogenous growth factors and usually requires a time-consuming adaptation process to select cell clones that proliferate in suspension to high cell numbers. The molecular mechanisms that facilitate the adaptation and that take place inside the cell are largely unknown. Especially for cell lines that are used for virus antigen production such as baby hamster kidney (BHK) cells, the restriction of virus growth through the evolution of undesired cell characteristics is highly unwanted. The comparison between adherently growing BHK cells and suspension cells with different susceptibility to foot-and-mouth disease virus revealed differences in the expression of cellular receptors such as integrins and heparan sulfates, and in the organization of the actin cytoskeleton. Transcriptome analyses and growth kinetics demonstrated the diversity of BHK cell clones and confirmed the importance of well-characterized parental cell clones and mindful screening to make sure that essential cellular features do not get lost during adaptation.
Targeting cellular metabolism to inhibit synergistic biofilm formation of multi-species isolated from a cooling water system

Biofilm is ubiquitous in natural environments, causing biofouling in industrial water systems and leading to liquidity and heat transfer efficiency decreases. In particular, multi-species coexistence in biofilms can provide the synergy needed to boost biomass production and enhance treatment resistance. In this study, a total of 37 bacterial strains were isolated from a cooling tower where acetic acid and propionic acid were used as the primary carbon sources. These isolates mainly belonged to Proteobacteria and Firmicutes, which occupied more than 80% of the total strains according to the 16S rRNA gene amplicon sequencing. Four species (Acinetobacter sp. CTS3, Corynebacterium sp. CTS5, Providencia sp. CTS12, and Pseudomonas sp. CTS17) were observed to co-exist in the synthetic medium, showing a synergistic effect towards biofilm formation. Three metabolic inhibitors (sulfathiazole, 3-Bromopyruvic acid, and 3-Nitropropionic acid) were employed as possible treatments against biofilm formation due to their inhibition effect on c-di-GMP biosynthesis or assimilation of volatile fatty acids. All of them displayed evident inhibition profiles to biofilm formation. Notably, the combination of these three inhibitors possessed a remarkable ability to block the development of a multi-species biofilm with lower concentrations, suggesting an enhanced effect with their simultaneous use. This study demonstrates that targeting cellular metabolism is an effective way to inhibit biofilm formation derived from multi-species.
Paths to annihilation: Genetic and demographic consequences of range contraction patterns

Species range contractions are important contributors to biological annihilation, yet typically do not receive the same attention as extinctions. Range contractions can lead to marked impacts on populations but are often only characterized by measurements of reduced extent. For effective conservation efforts, it is critical to recognize that not all range contractions are the same. We propose four distinct patterns of range contraction: shrinkage, amputation, hollow, and fragmentation. We tested their impact on populations of a generic generalist species using forward-time simulations. Results showed that all four patterns differentially reduced population abundance (declines of 60-80%) and significantly increased average relatedness, with differing patterns in nucleotide diversity (π) declines relative to the contraction pattern. The fragmentation pattern resulted in the strongest effects on post-contraction genetic diversity and structure. Defining and quantifying range contraction patterns and their consequences for the planet’s biodiversity provides necessary information to combat biological annihilation in the Anthropocene.
High-order areas and auditory cortex both represent the high-level event structure of music

Recent fMRI studies of event segmentation have found that default mode regions represent high-level event structure during movie watching. In these regions, neural patterns are relatively stable during events and shift at event boundaries. Music, like narratives, contains hierarchical event structure (e.g., sections are composed of phrases). Here, we tested the hypothesis that brain activity patterns in default mode regions reflect the high-level event structure of music. We used fMRI to record brain activity from 25 participants (male and female) as they listened to a continuous playlist of 16 musical excerpts, and additionally collected annotations for these excerpts by asking a separate group of participants to mark when meaningful changes occurred in each one. We then identified temporal boundaries between stable patterns of brain activity using a hidden Markov model and compared the location of the model boundaries to the location of the human annotations. We identified multiple brain regions with significant matches to the observer-identified boundaries, including auditory cortex, mPFC, parietal cortex, and angular gyrus. From these results, we conclude that both higher-order and sensory areas contain information relating to the high-level event structure of music. Moreover, the higher-order areas in this study overlap with areas found in previous studies of event perception in movies and audio narratives, including regions in the default mode network. Significance Statement Listening to music requires the brain to track dynamics at multiple hierarchical timescales. In our study, we had fMRI participants listen to real-world music (classical and jazz pieces) and then used an unsupervised learning algorithm (a hidden Markov model) to model the high-level event structure of music within participants’ brain data. This approach revealed that default mode brain regions involved in representing the high-level event structure of narratives are also involved in representing the high-level event structure of music. These findings provide converging support for the hypothesis that these regions play a domain-general role in processing stimuli with long-timescale dependencies.
A Catalog of the Diversity and Ubiquity of Metabolic Organelles in Bacteria

Bacterial microcompartments (BMCs) are organelles that segregate segments of metabolic pathways that are incompatible with the surrounding metabolism. These metabolic modules consist entirely of protein, thus they are directly genetically encoded organelles. The BMC membrane is composed of families of proteins that oligomerize into pentagonal and hexagonal building blocks, typically perforated by pores, that tile into a polyhedral shell. The shell protein families are structurally homologous, with the function of the BMC determined by the encapsulated enzymes and the permeability properties of the constituent shell proteins. BMCs can be identified bioinformatically by locating genes encoding shell proteins, which are generally found proximal to those for the encapsulated enzymes. We here performed a large-scale sequence-based analysis of all shell proteins across the bacterial tree of life. With recent advances in genome-resolved metagenomics and the emphasis on “microbial dark matter”, many new genome sequences from diverse and obscure bacterial species clades have become available. We find that locus-specific designations of shell proteins should be supplanted, because higher level patterns of co-occurrence are evident. Moreover, the number of identifiable BMC loci has increased twenty-fold since the last comprehensive census of 2014. While we can assign many to bioinformatically characterized loci, the addition of new types uncovered in this study doubles the number of distinct BMC types described. In addition, we predict several new functional types that expand the range of catalysis encapsulated in BMCs, an intriguing example is an organelle for the degradation of an aromatic substrate, compartmentalized in an unusually simple shell, with potential for bioremediation. Our comprehensive survey of bacterial metabolic organelles underscores that there is compartmentalized dark biochemistry yet to be discovered through genome sequencing. The finding of up to six distinct BMC loci in a single genome underscores the role of BMCs in conferring metabolic flexibility and provides new insights into how certain clades have adapted to or even dominate, as in dysbiosis, an environmental niche. Our catalog provides a rich substrate for downstream experimental characterization of these metabolic modules and broadens the foundation for the development of BMC-based nanoarchitectures for biomedical and bioengineering applications.