bluuebunny/crossref_metadata_2025_split huggingface dataset:
Domain-selective BET inhibition attenuates transcriptional and behavioral responses to cocaine
Authors: Singh MB , Babigian CJ , Sartor GC 
Published: October 2021

AbstractEpigenetic pharmacotherapies have emerged as a promising treatment option for substance use disorder (SUD) due to their ability to reverse maladaptive transcriptional and behavioral responses to drugs of abuse. In particular, inhibitors of bromodomain and extra terminal domain (BET) reader proteins have been shown to reduce cocaine- and opioid-seeking behaviors in rodents. However, only pan-BET inhibitors, small molecules that bind to both bromodomains (BD1 and BD2) with all BET proteins, have been investigated in animal models of SUD. Given the potential side effects associated with pan-BET inhibitors, safer and more selective strategies are needed to advance BET therapeutics as a potential treatment for SUD. Here, we show that RVX-208, a clinically tested, BD2-selective BET inhibitor, dose-dependently reduced cocaine conditioned place preference in male mice, similar to the pan-BET inhibitor JQ1. In other behavioral experiments, RVX-208 treatment did not alter distance traveled, anxiety-like behavior, or novel object recognition memory. At the transcriptional level, RVX-208 attenuated the expression of multiple cocaine-induced genes in the nucleus accumbens. RVX-208 produced a distinct transcriptional response in stimulated primary neurons compared to JQ1 but had little effect on gene expression in non-stimulated neurons. Together, these data indicate that targeting domain-specific BET mechanisms may be an effective and safer strategy to reduce cocaine-induced neurobehavioral adaptations.
Development of the Functional Connectome Topology in Adolescence: evidence from Topological Data Analysis
Authors: Gracia-Tabuenca Zeus , Díaz-Patiño Juan Carlos , Arelio Isaac , Moreno Martha Beatriz , Barrios Fernando A. , Alcauter Sarael 
Published: October 2021

AbstractAdolescence is a crucial developmental period in terms of behavior and mental health. Therefore, understanding how the brain develops during this stage is a fundamental challenge for neuroscience. Recent studies have modelled the brain as a network or connectome, mainly applying measures from graph theory, showing a change in its functional organization such as an increase in its segregation and integration. Topological Data Analysis (TDA) complements such modelling by extracting high-dimensional features across the whole range of connectivity values, instead of exploring a fixed set of connections. This study enquiries into the developmental trajectories of such properties using a longitudinal sample of typically developing participants (N = 98; 53/45 F/M; 6.7-18.1 years), applying TDA into their functional connectomes. In addition, we explore the effect of puberty on the individual developmental trajectories. Results showed that compared to random networks, the adolescent brain is more segregated at the global level, but more densely connected at the local level. Furthermore, developmental effects showed nonlinear trajectories for the integration of the whole brain and fronto-parietal networks, with an inflection point and increasing trajectories after puberty onset. These results add to the insights in the development of the functional organization of the adolescent.Significance StatementTopological Data Analysis may be used to explore the topology of the brain along the whole range of connectivity values instead of selecting only a fixed set of connectivity thresholds. Here, we explored some properties of the topology of the brain functional connectome, and how they develop in adolescence. First, we show that developmental trajectories are nonlinear and better explained by the puberty status than chronological age, with an inflection point around the puberty onset. The greatest effect is the increase in functional integration for the whole brain, and particularly for the Fronto-Parietal Network when exploring functional subnetworks.
Gigapixel behavioral and neural activity imaging with a novel multi-camera array microscope
Authors: Thomson Eric E , Harfouche Mark , Konda Pavan C , Seitz Catherine , Kim Kanghyun , Cooke Colin , Xu Shiqi , Jacobs Whitney S , Blazing Robin , Chen Yang , Sharma Sunanda , Dunn Timothy W , Park Jaehee , Horstmeyer Roarke , Naumann Eva A 
Published: October 2021

AbstractThe dynamics of living organisms are organized across many spatial scales. However, current cost-effective imaging systems can measure only a subset of these scales at once. We have created a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution recording from multiple spatial scales simultaneously, ranging from cellular structures to large-group behavioral dynamics. By collecting data from up to 96 cameras, we computationally generate gigapixel-scale images and movies with a field of view over hundreds of square centimeters at 5um sensitivity. This allows us to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales, including larval zebrafish, fruit flies, nematodes, carpenter ants, and slime mold. The MCAM architecture allows stereoscopic tracking of the z-position of organisms using the overlapping field of view from adjacent cameras. Further, we demonstrate the ability to acquire dual color fluorescence video of multiple freely moving zebrafish, recording neural activity via ratiometric calcium imaging. Overall, the MCAM provides a powerful platform for investigating cellular and behavioral processes across a wide range of spatial scales by removing the bottlenecks imposed by single-camera image acquisition systems.
Towards CRISPR/Cas9-based gene drive in the diamondback mothPlutella xylostella
Authors: Xu X. , Harvey-Samuel T. , Siddiqui H. , Ang J. , Anderson M.A.E , Reitmayer C. , Lovett E. , Leftwich P.T. , You M. , Alphey L. 
Published: October 2021

AbstractPromising to provide powerful genetic control tools, gene drives have been constructed in multiple dipterans, yeast and mice, for the purposes of population elimination or modification. However, it remains unclear whether these techniques can be applied to lepidopterans. Here, we used endogenous regulatory elements to drive Cas9 and sgRNA expression in the diamondback moth, (Plutella xylostella), and test the first split-drive system in a lepidopteran. The diamondback moth is an economically important global agriculture pest of cruciferous crops and has developed severe resistance to various insecticides, making it a prime candidate for such novel control strategy development. A very high level of somatic editing was observed in Cas9/sgRNA transheterozygotes, although no significant homing was revealed in the subsequent generation. Although heritable, Cas9-medated germline cleavage, as well as maternal and paternal Cas9 deposition was observed, rates were far lower than for somatic cleavage events, indicating robust somatic but limited germline activity of Cas9/sgRNA under the control of selected regulatory elements. Our results provide valuable experience, paving the way for future construction of gene drive-based genetic control strategies in DBM or other lepidopterans.
AREAdata: a worldwide climate dataset averaged across spatial units at different scales through time
Authors: Smith Thomas P. , Stemkovski Michael , Koontz Austin , Pearse William D. 
Published: October 2021

ABSTRACTIn an era of increasingly cross-discipline collaborative science, it is imperative to produce data resources which can be quickly and easily utilised by non-specialists. In particular, climate data often require heavy processing before they can be used for analyses. Here we describe AREAdata, a free-to-use online global climate dataset, pre-processed to provide the averages of various climate variables across differing administrative units (e.g., countries, states). These are daily estimates, based on the Copernicus Climate Data Store’s ERA-5 data, regularly updated to the near-present and provided as direct downloads from our website (https://pearselab.github.io/areadata/). The daily climate estimates from AREAdata are consistent with other openly available data, but at much finer-grained spatial and temporal scales than available elsewhere. AREAdata complements the existing suite of climate resources by providing these data in a form more readily usable by researchers unfamiliar with GIS data-processing methods, and we anticipate these resources being of particular use to environmental and epidemiological researchers.
Hematopoietic stem and progenitor cells integrate Bacteroides-derived innate immune signals to promote gut tissue repair
Authors: Hayashi Yoshikazu , Sezaki Maiko , Nakato Gaku , Biswas Subinoy , Morishima Tatsuya , Fakruddin Md , Moon Jieun , Ahn Soyeon , Kim Pilhan , Miyamoto Yuji , Baba Hideo , Fukuda Shinji , Takizawa Hitoshi 
Published: October 2021

AbstractBone marrow (BM)-resident hematopoietic stem and progenitor cells (HSPCs) are often activated by bacterial insults to replenish the host hemato-immune system, but how they integrate the associated tissue damage signals to initiate distal tissue repair is largely unknown. Here, we showed that acute gut inflammation expands HSPCs in the BM through GM-CSFR activation, and directs them to inflamed mesenteric lymph nodes for further differentiation into myeloid cells specialized in gut tissue repair. We also identified that this process is exclusively mediated by Bacteroides, a commensal gram-negative bacteria, that activates innate immune signaling. In contrast, chronic gut inflammation reduces HSC potential for hematopoietic reconstitution and immune response against infection. Similarly, microbial signals contribute to aging-associated HSPC expansion. These findings establish a cross-organ communication that promotes tissue regeneration, but if sustained, impairs tissue homeostasis that may be relevant to aging and chronic disorders.SummaryThe infiltrating microbiota Bacteroides upon acute colitis directed MPP migration from the BM to the MLN for their subsequent expansion and differentiation into tissue-repairing Ly6C+/G+ cells, whereas chronic colitis impairs HSC functionality similarly as aging.
Chlorhexidine reduced susceptibility associated to tetracycline resistance in clinical isolates of Escherichia coli
Authors: Royer Guilhem , Ortiz de la Rosa Jose-Manuel , Vuillemin Xavier , Lacombe Béatrice , Chau Françoise , Clermont Olivier , Mercier-Darty Mélanie , Decousser Jean-Winoc , Ricard Jean-Damien , Nordmann Patrice , Denamur Erick , Poirel Laurent 
Published: October 2021

AbstractChlorhexidine is a widely used antiseptic in hospital and community healthcare. Decreased susceptibility to this compound has been recently described in Klebsiella pneumoniae and Pseudomonas aeruginosa, together with cross-resistance to colistin. Surprisingly, few data are available for Escherichia coli, the main species responsible for community and healthcare-associated infections. In order to decipher chlorhexidine resistance mechanisms in E. coli, we studied both in vitro derived and clinical isolates through whole-genome sequence analysis. Comparison of strains grown in vitro under chlorhexidine pressure identified mutations in the gene mlaA coding for a phospholipid transport system. Phenotypic analyses of single-gene mutant from the Keio collection confirmed the role of this mutation in the decreased susceptibility to chlorhexidine. However, mutations in mlaA were not found in isolates from large clinical collections. In contrast, genome wide association studies (GWAS) showed that, in clinical strains, chlorhexidine reduced susceptibility was associated with the presence of tetA genes of class B coding for efflux pumps and located in a Tn10 transposon. Construction of recombinant strains in E. coli K-12 confirmed the role of tetA determinant in acquired resistance to both chlorhexidine and tetracycline. Our results reveal two different evolutionary paths leading to chlorhexidine decreased susceptibility: one restricted to in vitro evolution conditions and involving a retrograde phospholipid transport system; the other observed in clinical isolates associated with efflux pump TetA. None of these mechanisms provides cross-resistance to colistin or to the cationic surfactant octenidine. This work demonstrates the GWAS power to identify new resistance mechanisms in bacterial species.
TREM2+ and interstitial macrophages orchestrate airway inflammation in SARS-CoV-2 infection in rhesus macaques
Authors: Upadhyay Amit A. , Hoang Timothy N. , Pino Maria , Boddapati Arun K. , Viox Elise G. , Lee Michelle Y.H. , Corry Jacqueline , Strongin Zachary , Cowan David A. , Beagle Elizabeth N. , Horton Tristan R. , Hamilton Sydney , Aoued Hadj , Harper Justin L. , Nguyen Kevin , Pellegrini Kathryn L. , Tharp Gregory K. , Piantadosi Anne , Levit Rebecca D. , Amara Rama R. , Barratt-Boyes Simon M. , Ribeiro Susan P. , Sekaly Rafick P. , Vanderford Thomas H. , Schinazi Raymond F. , Paiardini Mirko , Bosinger Steven E. 
Published: October 2021

AbstractThe COVID-19 pandemic remains a global health crisis, yet, the immunopathological mechanisms driving the development of severe disease remain poorly defined. Here, we utilize a rhesus macaque (RM) model of SARS-CoV-2 infection to delineate perturbations in the innate immune system during acute infection using an integrated systems analysis. We found that SARS-CoV-2 initiated a rapid infiltration (two days post infection) of plasmacytoid dendritic cells into the lower airway, commensurate with IFNA production, natural killer cell activation, and induction of interferon-stimulated genes. At this early interval, we also observed a significant increase of blood CD14-CD16+ monocytes. To dissect the contribution of lung myeloid subsets to airway inflammation, we generated a novel compendium of RM-specific lung macrophage gene expression using a combination of sc-RNA-Seq data and bulk RNA-Seq of purified populations under steady state conditions. Using these tools, we generated a longitudinal sc-RNA-seq dataset of airway cells in SARS-CoV-2-infected RMs. We identified that SARS-CoV-2 infection elicited a rapid recruitment of two subsets of macrophages into the airway: a C206+MRC1-population resembling murine interstitial macrophages, and a TREM2+ population consistent with CCR2+ infiltrating monocytes, into the alveolar space. These subsets were the predominant source of inflammatory cytokines, accounting for ~75% of IL6 and TNF production, and >90% of IL10 production, whereas the contribution of CD206+MRC+ alveolar macrophages was significantly lower. Treatment of SARS-CoV-2 infected RMs with baricitinib (Olumiant®), a novel JAK1/2 inhibitor that recently received Emergency Use Authorization for the treatment of hospitalized COVID-19 patients, was remarkably effective in eliminating the influx of infiltrating, non-alveolar macrophages in the alveolar space, with a concomitant reduction of inflammatory cytokines. This study has delineated the major subsets of lung macrophages driving inflammatory and anti-inflammatory cytokine production within the alveolar space during SARS-CoV-2 infection.One sentence summaryMulti-omic analyses of hyperacute SARS-CoV-2 infection in rhesus macaques identified two population of infiltrating macrophages, as the primary orchestrators of inflammation in the lower airway that can be successfully treated with baricitinib
Tales of schizomid tails: patterns in schizomid flagellum shape from elliptical Fourier analysis
Authors: Kallal Robert J. , de Miranda Gustavo Silva , Garcia Erika L. , Wood Hannah M. 
Published: October 2021

AbstractThe arachnid order Schizomida is a relatively understudied group of soil-dwelling predators found on all continents except Antarctica. While efforts to understand their biology are growing, there is still much to know about them. A curious aspect of their morphology is the male flagellum, a sexually dimorphic, tail-like structure which differs in shape across the order and functions in their courtship rituals. The flagellar shape is important for taxonomic classification, yet few efforts have been made to examine shape diversity across the group. Using elliptical Fourier analysis, a type of geometric morphometrics based on outline shape, we quantified shape differences across a combined nearly 550 outlines in the dorsal and lateral views, categorizing them based on genus, family, biogeographic realm, and habitat, with special emphasis on Caribbean and Cuban fauna. We tested for allometric relationships, differences in disparity based on locations and sizes in morphospace among these categories, and for clusters of shapes in morphospace. We found multiple differences in all categories despite apparent overlaps in morphospace, evolutionary allometry, and evidence for discrete clusters in some flagellum shapes. This study can serve as a foundation for further study on the evolution, diversification, and taxonomic utility of the male flagellum.
Topological properties accurately predict cell division events and organization of Arabidopsis thaliana’s shoot apical meristem
Authors: Matz Timon W. , Wang Yang , Kulshreshtha Ritika , Sampathkumar Arun , Nikoloski Zoran 
Published: October 2021

AbstractCell division and the resulting changes to the cell organization affect the shape and functionality of all tissues. Thus, understanding the determinants of the tissue-wide changes imposed by cell division is a key question in developmental biology. Here, we use a network representation of live cell imaging data from shoot apical meristems (SAMs) in Arabidopsis thaliana to predict cell division events and their consequences at a tissue level. We show that a classifier based on the SAM network properties is predictive of cell division events, with validation accuracy of 82%, on par with that based on cell size alone. Further, we demonstrate that the combination of topological and biological properties, including: cell size, perimeter, distance, and shared cell wall between cells, can further boost the prediction accuracy of resulting changes in topology triggered by cell division. Using our classifiers, we demonstrate the importance of microtubule mediated cell-to-cell growth coordination in influencing tissue-level topology. Altogether, the results from our network-based analysis demonstrates a feedback mechanism between tissue topology and cell division in A. thaliana’s SAMs.Summary statementwe use a network representation of live cell imaging data from SAMs in Arabidopsis thaliana to predict cell division events and their consequences at a tissue level.
The membrane-proximal domain of the periplasmic adapter protein plays a role in vetting substrates utilising channels 1 and 2 of RND efflux transporters
Authors: Alav Ilyas , Bavro Vassiliy N. , Blair Jessica M. A. 
Published: October 2021

AbstractActive efflux by resistance-nodulation-division (RND) efflux pumps is a major contributor to antibiotic resistance in clinically relevant Gram-negative bacteria. Tripartite RND pumps, such as AcrAB-TolC ofSalmonella entericaserovar Typhimurium, comprise of an inner membrane RND transporter, a periplasmic adaptor protein (PAP) and an outer membrane factor. Previously, we elucidated binding sites within the PAP AcrA (termed binding boxes) that were important for AcrB-transporter recognition. Here, we have refined the binding box model by identifying the most critical residues involved in PAP-RND binding and show that the corresponding RND-binding residues in the closely related PAP AcrE are also important for AcrB interactions. In addition, our analysis identified a membrane-proximal domain (MPD)-residue in AcrA (K366), that when mutated, differentially affects transport of substrates utilising different AcrB efflux-channels, namely channels 1 and 2, supporting a potential role for the PAP in sensing the substrate-occupied state of the proximal binding pocket (PBP) of the transporter and substrate vetting. Our model predicts that there is a close interplay between the MPD of the PAP and the RND transporter in the productive export of substrates utilising the PBP.ImportanceAntibiotic resistance greatly threatens our ability to treat infectious diseases. In Gram-negative bacteria, overexpression of tripartite efflux pumps, such as AcrAB-TolC, contributes to multidrug resistance because they export many different classes of antibiotics. The AcrAB-TolC pump is made up of three components: the periplasmic adaptor protein (PAP) AcrA, the RND-transporter AcrB, and the outer-membrane factor TolC. Here, we identified critical residues of AcrA that are important for its function with AcrB inSalmonella entericaserovar Typhimurium. Also, we show that AcrA shares these critical residues with AcrE, a closely related PAP, explaining their interoperability with AcrB. Importantly, we identified a residue in the membrane-proximal domain of AcrA that when mutated affected how different substrates access AcrB and impacted downstream effluxviaTolC channel. Understanding the role that PAPs play in the assembly and function of tripartite RND pumps can guide novel ways to inhibit their function to combat antibiotic resistance.
Assessing microbial growth monitoring methods for challenging strains and cultures
Authors: Brown Damon , Turner Raymond J. 
Published: October 2021

AbstractThis is a paper focusing on the comparison of growth curves using field relevant testing methods and moving away from colony counts. Challenges exist to explore antimicrobial growth of fastidious strains, poorly culturable bacterial and bacterial communities of environmental interest. Thus, various approaches have been explored to follow bacteria growth that can be an efficient surrogate for classical optical density or colony forming unit measurements.Here we tested optical density, ATP assays, DNA concentrations and 16S rRNA qPCR as means to monitor pure culture growth of six different species including Acetobacterium woodii, Bacillus subtilis, Desulfovibrio vulgaris, Geoalkalibacter subterraneus, Pseudomonas putida and Thauera aromatica. Optical density is and excellent, rapid monitoring method of pure culture planktonic cells but cannot be applied to environmental or complex samples. ATP assays provide rapid results but conversions to cell counts may be misleading for different species. DNA concentration is a very reliable technique which can be used for any sample type and provides genetic materials for downstream applications. qPCR of the 16S rRNA gene is a widely applicable technique for monitoring microbial cell concentrations but is susceptible to variation between replicates. DNA concentrations were found to correlate the best with the other three assays and provides the advantages of rapid extraction, consistency between replicates and potential for downstream analysis, DNA concentrations is determined to be the best universal monitoring method for complex environmental samples.