bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Biofilms, Bacterial Phenotypes, and Innate Immune Response in Mycobacterium avium Colonization to Infection
Authors: Weathered Catherine , Pennington Kelly , Escalante Patricio , Pienaar Elsje 
Published: July 2021

AbstractMycobacterium avium complex (MAC), is known for colonizing and infecting humans following inhalation of the bacteria. MAC pulmonary disease is notoriously difficult to treat and prone to recurrence. Both the incidence and prevalence MAC pulmonary disease have been increasing globally.MAC is well known to form biofilms in the environment, and in vitro, these biofilms have been shown to aid MAC in epithelial cell invasion, protect MAC from phagocytosis, and cause premature apoptosis in macrophages. In vivo, the system of interactions between MAC, biofilms and host macrophages is complex, difficult to replicate in vitro and in animal models, has not been fully characterized. Here we present a three-dimensional agent-based model of a lung airway to help understand how these interactions evolve in the first 14 days post-bacterial inhalation. We parameterized the model using published data and performed uncertainty analysis to characterize outcomes and parameters’ effects on those outcomes.Model results show diverse outcomes, including wide ranges of macrophage recruitment levels, and bacterial loads and phenotype distribution. Though most bacteria are phagocytosed by macrophages and remain intracellular, there are also many simulations in which extracellular bacteria continue to drive the colonization and infection. Initial parameters dictating host immune levels, bacterial loads introduced to the airway, and biofilm conditions have significant and lasting impacts on the course of these results. Additionally, though macrophage recruitment is key for suppressing bacterial loads, there is evidence of significant excess recruitment that fail to impact bacterial numbers. These results highlight a need and identify a path for further exploration into the inhalation events in MAC infection. Early infection dynamics could have lasting impacts on the development of nodular bronchiectatic or fibrocavitary disease as well as inform possible preventative and treatment intervention targeting biofilm-macrophage interactions.
Evaluating the feasibility and efficacy of a dual-modality nanoparticle contrast agent (Nanotrast-CF800) for image-guided sentinel lymph node mapping in the oral cavity of healthy dogs
Authors: Wan Jennifer , Oblak Michelle L. , Ram Ann S. , McKenna Charly , Singh Ameet , Nykamp Stephanie 
Published: July 2021

AbstractA combination of pre- and intraoperative sentinel lymph node (SLN) mapping techniques has been suggested to optimize SLN detection. A novel liposomal nanoparticle, Nanotrast-CF800 (CF800), utilizes computed tomography lymphography (CTL) and near infrared fluorescence imaging (NIRF) for image-guided surgery and SLN mapping. This novel tracer agent has not been evaluated in companion animals. The objective of this study was to evaluate the feasibility and efficacy of CF800 for SLN mapping in the oral cavity of healthy dogs and to report any local adverse effects. Six healthy adult purpose-bred research dogs randomly received either 1 mL (group 1) or 2 mL (group 2) of CF800 injected into the submucosa at the level of the right canine maxillary tooth. CTL and percutaneous NIRF were performed at 1, 3, and 10 minutes, then 1, 2, 4, 7, and 10 days post-injection (p.i). Overall, both CTL and NIRF identified SLNs in all dogs. The overall peak mean contrast enhancement of the SLNs was 73.98 HU (range 63.45-86.27 HU) at 2 days p.i. Peak fluorescence of the SLN occurred at 1 day p.i. The agent was retained within the SLN for at least 7 days for CTL and 4 days for NIRF. No adverse effects were observed. Local administration of CF800 was simple and feasible for the detection of SLNs using CTL+NIRF in the head and neck of healthy dogs and was not associated with significant local adverse events.
Unraveling three-dimensional chromatin structural dynamics during spermatogonial differentiation
Authors: Zheng Yi , Zhang Lingkai , Jin Long , Zhang Pengfei , Li Fuyuan , Guo Ming , Gao Qiang , Zeng Yao , Li Mingzhou , Zeng Wenxian 
Published: July 2021

AbstractSpermatogonial stem cells (SSCs) are able to undergo self-renewal and differentiation. Unlike the self-renewal that replenishes the SSC and progenitor pool, the differentiation is an irreversible process committed to meiosis. While the preparations for meiotic events in differentiating spermatogonia (Di-SG) are likely to be accompanied by alterations in chromatin structure, the three-dimensional (3D) chromatin architectural difference between SSCs and Di-SG, and the higher-order chromatin dynamics during spermatogonial differentiation, have not been systematically investigated. Here, we performed in situ high-throughput chromosome conformation capture (Hi-C), RNA-sequencing (RNA-seq) and chromatin immunoprecipitation-sequencing (ChIP-seq) analyses on porcine undifferentiated spermatogonia (Un-SG, which consist of SSCs and progenitors) and Di-SG. By integrating and analyzing these data, we identified that Di-SG exhibited increased disorder but weakened compartmentalization and topologically associating domains (TADs) in comparison with Un-SG, suggesting that diminished higher-order chromatin architecture in meiotic cells, as shown by recent reports, is preprogramed in Di-SG. Our data also revealed that A/B compartments and TADs were related to dynamic gene expression during spermatogonial differentiation. We further unraveled the contribution of promoter-enhancer interactions (PEIs) to pre-meiotic transcriptional regulation, which has not been accomplished in previous studies due to limited cell input and resolution. Together, our study uncovered the 3D chromatin structure of SSCs/progenitors and Di-SG, as well as the interplay between higher-order chromatin architecture and dynamic gene expression during spermatogonial differentiation, providing novel insights into the mechanisms for SSC self-renewal and differentiation and having implications for diagnosis and treatment of male sub-/infertility.
A manifold neural population code for space in hippocampal coactivity dynamics independent of place fields
Authors: Levy Eliott R.J. , Carrillo-Segura Simón , Park Eun Hye , Redman William T. , Hurtado José R. , Chung SueYeon , Fenton André A. 
Published: July 2021

AbstractHippocampus is comprised of ∼20% place cells, discharging in cell-specific locations (“place fields”), standardly interpreted as a dedicated neuronal code for space. However, place cell discharge is temporally unreliable across seconds and days, and place fields are multimodal, suggesting an alternative “ensemble cofiring” spatial code with manifold dynamics that does not require reliable spatial tuning. We evaluated these hypotheses using GCaMP6f and miniature microscopes to image mouse CA1 ensemble activity in two environments, across 3 weeks. Both place fields and ensemble coactivity relationships appear to “remap,” being distinct between, and (weakly) similar within environments. Decoding location as well as environment from 1-s ensemble location-specific discharge is effective and improves with experience. Decoding the environment (but not location) from cell-pair coactivity relationships is also effective and improves with experience, even after removing place tuning. Discriminating environments from 1-s ensemble coactivity relies crucially on the cells with the most anti-cofiring cell-pair relationships because ensemble activity is internally-organized on a low-dimensional manifold of non-linear cofiring relationships that intermittently reregisters to environments according to the anti-cofiring subpopulation activity.
Airborne environmental DNA metabarcoding for the monitoring of terrestrial insects - a proof of concept
Authors: Roger Fabian , Ghanavi Hamid , Danielsson Natalie , Wahlberg Niklas , Löndahl Jakob , Pettersson Lars B. , Andersson Georg K.S. , Olén Niklas Boke , Clough Yann 
Published: July 2021

AbstractBiodiversity is in decline due to human land use, exploitation, and climate change. To be able to counteract this alarming trend it is paramount to closely monitor biodiversity at global scales. Because this is practically impossible with traditional methods, the last decade has seen a strong push for solutions. In aquatic ecosystems the monitoring of species from environmental DNA (eDNA) has emerged as one of the most powerful tools at our disposal but in terrestrial ecosystems the power of eDNA for monitoring has so far been hampered by the local scale of the samples. In this study we report the first attempt to detect insects from airborne eDNA. We compare our results to two traditional insect monitoring projects (1) using light trapping for moth monitoring and (2) transect counts for the monitoring of butterflies and wild bees. While we failed to detect many of the same species monitored with the traditional methods, airborne eDNA metabarcoding revealed DNA from from six classes of Arthropods, and twelve order of Insects - including representatives from all of the four largest orders: Diptera (flies), Lepidoptera (butterflies and moths), Coleoptera (beetles) and Hymenoptera (bees, wasps and ants). We also recovered DNA from nine species of vertebrates, including frogs, birds and mammals as well as from 12 other phyla. We suggest that airborne eDNA has the potential to become a powerful tool for terrestrial biodiversity monitoring, with many impactful applications including the monitoring of pests, invasive or endangered species or disease vectors.
Transcriptomic Analysis of Human Skin Wound Healing and Rejuvenation Following Ablative Fractional Laser Treatment
Authors: Sherrill Joseph D. , Finlay Deborah , Binder Robert L. , Robinson Michael K. , Wei Xingtao , Tiesman Jay P. , Flagler Michael J. , Loftus Jean M. , Kimball Alexa B. , Bascom Charles C. , Isfort Robert J. 
Published: July 2021

AbstractAblative fractional laser treatment is considered the gold standard for skin rejuvenation. In order to understand how fractional laser works to rejuvenate skin, we performed microarray profiling on skin biopsies to identify temporal and dose-response changes in gene expression following fractional laser treatment. The backs of 14 women were treated with ablative fractional laser (Fraxel®) and 4 mm punch biopsies were collected from an untreated site and at the treated sites 1, 3, 7, 14, 21 and 28 days after the single treatment. In addition, in order to understand the effect that multiple fractional laser treatments have on skin rejuvenation, several sites were treated sequentially with either 1, 2, 3, or 4 treatments (with 28 days between treatments) followed by the collection of 4 mm punch biopsies. RNA was extracted from the biopsies, analyzed using Affymetrix U219 chips and gene expression was compared between untreated and treated sites. We observed dramatic changes in gene expression as early as 1 day after fractional laser treatment with changes remaining elevated even after 1 month. Analysis of individual genes demonstrated significant and time related changes in inflammatory, epidermal, and dermal genes, with dermal genes linked to extracellular matrix formation changing at later time points following fractional laser treatment. When comparing the age-related changes in skin gene expression to those induced by fractional laser, it was observed that fractional laser treatment reverses many of the changes in the aging gene expression. Finally, multiple fractional laser treatments resulted in continued changes in gene expression, with many genes either differentially regulated or continuously upregulated with increasing number of treatments, indicating that maximal skin rejuvenation requires multiple fractional laser treatments. In conclusion, fractional laser treatment of skin activates several biological processes involved in wound healing and tissue regeneration, all of which significantly contribute to the rejuvenating effect of fractional laser treatment on aged skin.
Ultrastructural and functional analysis of extra-axonemal structures in trichomonads
Authors: Coceres Veronica M. , Iriarte Lucrecia S. , Miranda-Magalhães Abigail , de Andrade Thiago André Santos , de Miguel Natalia , Pereira-Neves Antonio 
Published: July 2021

ABSTRACTTrichomonas vaginalis and Tritrichomonas foetus are extracellular flagellated parasites that inhabit humans and other mammals, respectively. In addition to motility, flagella act in a variety of biological processes in different cell types; and extra-axonemal structures (EASs) has been described as fibrillar structures that provide mechanical support and act as metabolic, homeostatic and sensory platforms in many organisms. Here, we identified the presence of EASs forming prominent flagellar swellings in T. vaginalis and T. foetus and we observed that their formation was associated with the parasites adhesion on the host cells, fibronectin, and precationized surfaces; and parasite:parasite interaction. A high number of rosettes, clusters of intramembrane particles that has been proposed as sensorial structures, and microvesicles protruding from the membrane were observed in the EASs. The protein VPS32, a member of the ESCRT-III complex crucial for diverse membrane remodeling events, the pinching off and release of microvesicles, was found in the surface as well as in microvesicles protruding from EASs. Moreover, we demonstrated that overexpression of VPS32 protein induce EAS formation and increase parasite motility in semi-solid medium. These results provide valuable data about the role of the flagellar EASs in the cell-to-cell communication and pathogenesis of these extracellular parasites.
Recording and Manipulation of the Maternal Oxytocin Neural Activities in Mice
Authors: Yukinaga Hiroko , Hagihara Mitsue , Tsujimoto Kazuko , Chiang Hsiao-Ling , Kato Shigeki , Kobayashi Kazuto , Miyamichi Kazunari 
Published: July 2021

SummaryPulsatile release of the hormone oxytocin (OT) mediates uterine contraction during parturition and milk ejection during lactation1–3. These pulses are generated by unique activity patterns of the central neuroendocrine OT neurons located in the paraventricular and supraoptic hypothalamus. Classical studies have characterized putative OT neurons by in vivo extracellular recording techniques in rats and rabbits under anesthesia1, 4–7 or awake8–10. Due to technical limitations, however, the identity of OT neurons in these previous studies was speculative based on their electrophysiological characteristics and axonal projection to the posterior pituitary, not on OT gene expression. To pinpoint OT neural activities among other hypothalamic neurons that project to the pituitary11, 12 and make better use of cell-type-specific neuroscience toolkits13, a mouse model needs to be developed for studies of parturition and lactation. We herein introduce viral genetic approaches in mice to characterize the maternal activities of OT neurons by fiber photometry. During lactation, a sharp photometric peak of OT neurons appeared at approximately 520 s following simultaneous suckling stimuli from three pups. The amplitude of the peaks increased as the mother mice experienced lactation, irrespective of the age of the pups, suggesting the intrinsic plasticity of maternal OT neurons. Based on a mono-synaptic input map to OT neurons, we pharmacogenetically activated the inhibitory neurons in the bed nucleus of the stria terminalis and found suppression of the activities of OT neurons. Collectively, our study illuminates temporal dynamics in the maternal neural activities of OT neurons and identifies one of its modulatory circuits.Highlights- Pulsatile activities of genetically-defined OT neurons in mother mice were recorded in vivo.- The maternal experience-dependent plasticity of the OT neural activities was found.- Input-mapping of OT neurons in mother mice was performed by rabies-mediated trans-synaptic tracing.- Photometric peaks of OT neurons were suppressed by the activation of BST inhibitory neurons.
Modular assembly of dynamic models in systems biology
Authors: Pan Michael , Gawthrop Peter J. , Cursons Joseph , Crampin Edmund J. 
Published: July 2021

AbstractIt is widely acknowledged that the construction of large-scale dynamic models in systems biology requires complex modelling problems to be broken up into more manageable pieces. To this end, both modelling and software frameworks are required to enable modular modelling. While there has been consistent progress in the development of software tools to enhance model reusability, there has been a relative lack of consideration for how underlying biophysical principles can be applied to this space. Bond graphs combine the aspects of both modularity and physics-based modelling. In this paper, we argue that bond graphs are compatible with recent developments in modularity and abstraction in systems biology, and are thus a desirable framework for constructing large-scale models. We use two examples to illustrate the utility of bond graphs in this context: a model of a mitogen-activated protein kinase (MAPK) cascade to illustrate the reusability of modules and a model of glycolysis to illustrate the ability to modify the model granularity.Author summaryThe biochemistry within a cell is complex, being composed of numerous biomolecules and reactions. In order to develop fully detailed mathematical models of cells, smaller submodels need to be constructed and connected together. Software and standards can assist in this endeavour, but challenges remain in ensuring submodels are both consistent with each other and consistent with the fundamental conservation laws of physics.In this paper, we propose a new approach using bond graphs from engineering. In this approach, connections between models are defined using physical conservation laws. We show that this approach is compatible with current software approaches in the field, and can therefore be readily used to incorporate physical consistency into existing model integration methodologies. We illustrate the utility of this approach in streamlining the development of models for a signalling network (the MAPK cascade) and a metabolic network (the glycolysis pathway).The advantage of this approach is that models can be developed in a scalable manner while also ensuring consistency with the laws of physics, enhancing the range of data available to train models. This approach can be used to quickly construct detailed and accurate models of cells, facilitating future advances in biotechnology and personalised medicine.
Novel modification by L/F-tRNA-protein transferase (LFTR) generates a Leu/N-degron ligand in Escherichia coli
Authors: Ottofuelling Ralf D. , Ninnis Robert L. , Truscott Kaye N. , Dougan David A. 
Published: July 2021

ABSTRACTThe N-degron pathways are a set of proteolytic systems that relate the half-life of a protein to its N-terminal (Nt) residue. In Escherchia coli the principal N-degron pathway is known as the Leu/N-degron pathway of which an Nt Leu is a key feature of the degron. Although the physiological role of the Leu/N-degron pathway is currently unclear, many of the components of the pathway are well defined. Proteins degraded by this pathway contain an Nt degradation signal (N-degron) composed of an Nt primary destabilizing (Nd1) residue (Leu, Phe, Trp or Tyr) and an unstructured region which generally contains a hydrophobic element. Most N-degrons are generated from a pro-N-degron, either by endoproteolytic cleavage, or by enzymatic attachment of a Nd1 residue (Leu or Phe) to the N-terminus of a protein (or protein fragment) by the enzyme Leu/Phe tRNA protein transferase (LFTR) in a non-ribosomal manner. Regardless of the mode of generation, all Leu/N-degrons are recognized by ClpS and delivered to the ClpAP protease for degradation. To date, only two physiological Leu/N-degron bearing substrates have been verified, one of which (PATase) is modified by LFTR. In this study, we have examined the substrate proteome of LFTR during stationary phase. From this analysis, we have identified several additional physiological Leu/N-degron ligands, including AldB, which is modified by a previously undescribed activity of LFTR. Importantly, the novel specificity of LFTR was confirmed in vitro, using a range of model proteins. Our data shows that processing of the Nt-Met of AldB generates a novel substrate for LFTR. Importantly, the LFTR-dependent modification of T2-AldB is essential for its turnover by ClpAPS, in vitro. To further examine the acceptor specificity of LFTR, we performed a systematic analysis using a series of peptide arrays. These data reveal that the identity of the second residue modulates substrate conjugation with positively charged residues being favored and negatively charged and aromatic residues being disfavored. Collectively, these findings extend our understanding of LFTR specificity and the Leu/N-degron pathway in E. coli.
The relationships between structural organization, material properties, and loading conditions and the risk of fracture and fracture location in the femur
Authors: Bredbenner Todd L. 
Published: July 2021

ABSTRACTIncreased risk of skeletal fractures due to bone mass loss is a major public health problem resulting in significant morbidity and mortality, particularly in the case of hip fractures. Current clinical methods based on two-dimensional measures of bone mineral density (areal BMD or aBMD) are often unable to identify individuals at risk of fracture. The underlying hypothesis of this study was that combinations of femur structural traits are different for those femurs that suffer a fragility fracture within the proximal region of the femur and those that sustain a fracture in either the subtrochanteric or midshaft region of the femur, resulting in an “atypical femur fracture”. Accordingly, the objective of this study was to determine the effects of varying combinations of structural traits, material properties, and loading conditions on femur stress response and the location of stress response variation using a validated parametric finite element model. Statistical shape and trait modelling of the femur was used to describe variability in the structural organization of a set of femurs in an efficient manner and the resulting description of structural variability was exploited to investigate how different mechanisms of fracture might occur, whether in the proximal region or in the subtrochanteric and midshaft region. In combination with parameters describing loading condition and material property variation, variation in structural organization is associated with regional increases in maximum principal stress and the percentage of bone expected to damage, and these increases are likely associated with increased fracture risk. The results of this study indicate that there are multiple pathways and combinations of descriptor variation that may result in increased fracture risk and that these pathways can lead to fracture in any region of the femur under both overload conditions, such as with sideways fall loading, and stance loading, which due to the repetitive nature may lead to the accumulation of fatigue damage within the bone and further impair bone condition and increased susceptibility to fracture.