bluuebunny/crossref_metadata_2025_split huggingface dataset:
Targeting of Cdc42 GTPase in regulatory T cells unleashes anti-tumor T cell immunity
Authors: Kalim Khalid W , Yang Jun-Qi , Wunderlich Mark , Modur Vishnu , Nguyen Phuong , Li Yuan , Wen Ting , Davis Ashley Kuenzi , Verma Ravinder , Lu Q. Richard , Jegga Anil G , Zheng Yi , Guo Fukun 
Published: September 2021

AbstractRegulatory T (Treg) cells play an important role in maintaining immune tolerance through inhibiting effector T cell function. In the tumor microenvironment, Treg cells are utilized by tumor cells to counteract effector T cell-mediated tumor killing. Targeting Treg cells may thus unleash the anti-tumor activity of effector T cells. While systemic depletion of Treg cells can cause excessive effector T cell responses and subsequent autoimmune diseases, controlled targeting of Treg cells may benefit cancer patients. Here we show that Treg cell-specific heterozygous deletion or pharmacological targeting of Cdc42 GTPase does not affect Treg cell numbers but induces Treg cell plasticity, leading to anti-tumor T cell immunity without detectable autoimmune reactions. Cdc42 targeting potentiates an immune checkpoint blocker anti-PD-1 antibody-mediated T cell response against mouse and human tumors. Mechanistically, Cdc42 targeting induces Treg cell plasticity and unleashes antitumor T cell immunity through carbonic anhydrase I-mediated pH changes. Thus, rational targeting of Cdc42 in Treg cells holds therapeutic promises in cancer immunotherapy.SignificanceEffector T lymphocytes promote autoimmune diseases but have potential to kill tumor cells. However, cancer cells can evade T cell-mediated killing in part by utilizing regulatory T (Treg) cells to inhibit effector T cell function. Here we show that Treg cell-specific heterozygous deletion of Cdc42 gene that encodes Cdc42 GTPase dampens Treg cell fitness through carbonic anhydrase I-mediated pH changes, leading to anti-tumor T cell immunity. Pharmacological targeting of Cdc42 mimics genetic deletion of Cdc42 in impairing Treg cell fitness and evoking anti-tumor T cell immunity. Importantly, Cdc42 targeting does not appear to cause systemic autoimmunity. Given that current cancer immunotherapies only demonstrate limited clinical efficacies, our findings may open a new avenue for cancer immunotherapy.
Regionalization, constraints, and the ancestral ossification patterns in the vertebral column of amniotes
Authors: Verrière Antoine , Fröbisch Nadia B. , Fröbisch Jörg 
Published: September 2021

AbstractThe development of the vertebral column has been studied extensively in modern amniotes, yet many aspects of its evolutionary history remain enigmatic. Here we expand the existing data on four major vertebral developmental patterns in amniotes based on exceptionally well-preserved specimens of the early Permian mesosaurid reptile Stereosternum: (i) centrum ossification, (ii) neural arch ossification, (iii) neural arch fusion, and (iv) neurocentral fusion. We retrace the evolutionary history of each pattern and reconstruct the ancestral condition in amniotes. Despite 300 million years of evolutionary history, vertebral development patterns show a surprisingly stability in amniotes since their common ancestor. We propose that this conservatism may be linked to constraints posed by underlying developmental processes across amniotes. However, we also point out that mammals and birds differ more strongly from the ancestral condition than other clades, which might be linked to a stronger regionalization of the column in these two clades.
Neonatal multi-modal cortical profiles predict 18-month developmental outcomes
Authors: Fenchel Daphna , Dimitrova Ralica , Robinson Emma C. , Batalle Dafnis , Chew Andrew , Falconer Shona , Kyriakopoulou Vanessa , Nosarti Chiara , Hutter Jana , Christiaens Daan , Pietsch Maximilian , Brandon Jakki , Hughes Emer J. , Allsop Joanna , O’Keeffe Camilla , Price Anthony N. , Cordero-Grande Lucilio , Schuh Andreas , Makropoulos Antonios , Passerat-Palmbach Jonathan , Bozek Jelena , Rueckert Daniel , Hajnal Joseph V. , McAlonan Grainne , Edwards A. David , O’Muircheartaigh Jonathan 
Published: September 2021

AbstractDevelopmental delays in infanthood often persist, turning into life-long difficulties, and coming at great cost for the individual and community. By examining the developing brain and its relation to developmental outcomes we can start to elucidate how the emergence of brain circuits is manifested in variability of infant motor, cognitive and behavioural capacities. In this study, we examined if cortical structural covariance at birth, indexing coordinated development, is related to later infant behaviour. We included 193 healthy term-born infants from the Developing Human Connectome Project (dHCP). An individual cortical connectivity matrix derived from morphological and microstructural features was computed for each subject (morphometric similarity networks, MSNs) and was used as input for the prediction of behavioural scores at 18 months using Connectome-Based Predictive Modeling (CPM). Neonatal MSNs successfully predicted social-emotional performance. Predictive edges were distributed between and within known functional cortical divisions with a specific important role for primary and posterior cortical regions. These results reveal that multi-modal neonatal cortical profiles showing coordinated maturation are related to developmental outcomes and that network organization at birth provides an early infrastructure for future functional skills.
High-content analysis of proteostasis capacity in cellular models of amyotrophic lateral sclerosis (ALS)
Authors: Lambert-Smith Isabella A. , Yerbury Justin J. , Saunders Darren N. 
Published: September 2021

AbstractDisrupted proteome homeostasis (proteostasis) in amyotrophic lateral sclerosis (ALS) has been a major focus of research in the past two decades. Yet the exact processes that normally maintain proteostasis, but that are uniquely disturbed in motor neurons expressing diverse genetic mutations, remain to be established. Obtaining a better understanding of proteostasis disruption in association with different ALS-causing mutations will improve our understanding of ALS pathophysiology and may identify novel therapeutic targets and strategies for ALS patients. Here we describe the development and use of a novel high-content analysis (HCA) assay to investigate proteostasis disturbances caused by the expression of ALS-causing gene variants. This assay involves the use of conformationally-destabilised mutants of firefly luciferase (Fluc) to examine protein folding/re-folding capacity in NSC-34 cells expressing ALS-associated mutations in the genes encoding superoxide dismutase-1 (SOD1A4V) and cyclin F (CCNFS621G). We demonstrate that these Fluc isoforms can be used in high-throughput format to report on reductions in the activity of the chaperone network that result from the expression of SOD1A4V, providing multiplexed information at single-cell resolution. In addition to SOD1A4V and CCNFS621G, NSC-34 models of ALS-associated TDP-43, FUS, UBQLN2, OPTN, VCP and VAPB mutants were generated that could be screened using this assay in future work. For ALS-associated mutant proteins that do cause reductions in protein quality control capacity, such as SOD1A4V, this assay has potential to be applied in drug screening studies to identify candidate compounds that can ameliorate this deficiency.Graphical abstractHighlightsDestabilised firefly luciferase (Fluc) mutants can be used in high-content analysis (HCA) assay formatFluc HCA assay enables information-rich reporting on chaperone network activity in cell models of ALSExpression of SOD1A4V reduces chaperone network activity in NSC-34 cells
Model-based dynamic off-resonance correction for improved accelerated fMRI in awake behaving non-human primates
Authors: Shahdloo Mo , Schüffelgen Urs , Papp Daniel , Miller Karla L. , Chiew Mark 
Published: September 2021

AbstractPurposeTo estimate dynamic off-resonance due to vigorous body motion in accelerated fMRI of awake behaving non-human primates (NHPs) using the standard EPI 3-line navigator, in order to attenuate the effects of time-varying off-resonance on the reconstruction.MethodsIn NHP fMRI the animal’s head is usually head-posted, and the dynamic off-resonance is mainly caused by motion in body parts that are distant from the brain and have low spatial frequency. Hence, off-resonance at each frame can be approximated as a spatially linear perturbation of the off-resonance at a reference frame, and is manifested as a relative linear shift in k-space. Using GRAPPA operators, we estimated these shifts by comparing the 3-line navigator at each time frame with that at the reference frame. Estimated shifts were then used to correct the data at each frame. The proposed method was evaluated in phantom scans, simulations, and in vivo data.ResultsThe proposed method is shown to successfully estimate low-spatial order dynamic off-resonance perturbations, including induced linear off-resonance perturbations in phantoms, and is able to correct retrospectively corrupted data in simulations. Finally, it is shown to reduce ghosting artifacts and geometric distortions by up to 20% in simultaneous multi-slice in vivo acquisitions in awake-behaving NHPs.ConclusionA method is proposed that does not need any sequence modification or extra acquisitions and makes accelerated awake behaving NHP imaging more robust and reliable, reducing the gap between what is possible with NHP protocols and state-of-the-art human imaging.
Energy efficient convolutional neural networks for arrhythmia detection
Authors: Katsaouni Nikoletta , Aul Florian , Krischker Lukas , Schmalhofer Sascha , Hedrich Lars , Schulz Marcel H. 
Published: September 2021

AbstractElectrocardiograms (ECG) record the heart activity and are the most common and reliable method to detect cardiac arrhythmias, such as atrial fibrillation (AFib). Lately, many commercially available devices such as smartwatches are offering ECG monitoring. Therefore, there is increasing demand for designing deep learning models with the perspective to be physically implemented on these small portable devices with limited energy supply. In this paper, a workflow for the design of small, energy-efficient recurrent convolutional neural network (RCNN) architecture for AFib detection is proposed. However, the approach can be well generalized to every type of long time series. In contrast to previous studies, that demand thousands of additional network neurons and millions of extra model parameters, the logical steps for the generation of a CNN with only 114 trainable parameters are described. The model consists of a small segmented CNN in combination with an optimal energy classifier. The architectural decisions are made by using the energy consumption as a metric in an equally important way as the accuracy. The optimisation steps are focused on the software which can be embedded afterwards on a physical chip. Finally, a comparison with some previous relevant studies suggests that the widely used huge CNNs for similar tasks are mostly redundant and unessentially computationally expensive.
High-throughput super-resolution analysis of influenza virus pleomorphism reveals insights into viral spatial organization
Authors: McMahon Andrew , Andrews Rebecca , Ghani Sohail V. , Cordes Thorben , Kapanidis Achillefs N. , Robb Nicole C. 
Published: September 2021

AbstractMany viruses form highly pleomorphic particles; in influenza, these particles range from spheres of ~ 100 nm in diameter to filaments of several microns in length. Virion structure is of interest, not only in the context of virus assembly, but also because pleomorphic variations may correlate with infectivity and pathogenicity. We have used fluorescence super-resolution microscopy combined with a rapid automated analysis pipeline to image many thousands of individual influenza virions, gaining information on their size, morphology and the distribution of membrane-embedded and internal proteins. We observed broad phenotypic variability in filament size, and Fourier transform analysis of super resolution images demonstrated no generalized common spatial frequency patterning of HA or NA on the virion surface, suggesting a model of virus particle assembly where the release of progeny filaments from cells occurs in a stochastic way. Finally, we showed that in long filaments, viral RNP complexes are located preferentially within Archetti bodies, suggesting that these structures may play a role in virus transmission. Our approach therefore offers exciting new insights into influenza virus morphology and represents a powerful technique that is easily extendable to the study of pleomorphism in other pathogenic viruses.
Tobramycin-induced secretion of P. aeruginosa 5′ tRNA-fMet halves suppresses lung inflammation via AGO2 gene silencing
Authors: Li Zhongyou , Koeppen Katja , Ashare Alix , Hogan Deborah A. , Gerber Scott A. , Stanton Bruce A. 
Published: September 2021

AbstractAlthough inhaled tobramycin increases lung function in people with cystic fibrosis (pwCF), the density of P. aeruginosa in the lungs is only modestly reduced by tobramycin; hence, the mechanism whereby tobramycin improves lung function is unclear. Here, we demonstrate that tobramycin increases the abundance of two 5′ tRNA-fMet halves in outer membrane vesicles (OMVs) secreted by P. aeruginosa and that the 5′ tRNA-fMet halves reduce IL-8 secretion by CF bronchial epithelial cells (CF-HBECs). In mouse lung, the 5′ tRNA-fMet halves attenuate KC secretion and neutrophil recruitment. We also report that the 5′ tRNA-fMet halves suppress pro-inflammatory network gene expression by an Argonaut 2 (AGO2)-mediated gene silencing mechanism, thereby reducing IL-8 secretion in CF-HBECs. Moreover, tobramycin reduces the IL-8 concentration and neutrophil content in bronchoalveolar lavage fluid of pwCF. Thus, we conclude that tobramycin improves lung function in part by reducing chronic inflammation and neutrophil-mediated lung damage in pwCF.
Anisotropic Rod-Shaped Particles Influence Injectable Granular Hydrogel Properties and Cell Invasion
Authors: Qazi Taimoor H. , Wu Jingyu , Muir Victoria G. , Weintraub Shoshana , Gullbrand Sarah E. , Lee Daeyeon , Issadore David , Burdick Jason A. 
Published: September 2021

AbstractGranular hydrogels have emerged as a new class of injectable and porous biomaterials that improve integration with host tissue when compared to solid hydrogels. Granular hydrogels are typically prepared using spherical particles and this study considers whether particle shape (i.e., isotropic spheres versus anisotropic rods) influences granular hydrogel properties and cellular invasion. Simulations predict that anisotropic rods influence pore shape and interconnectivity, as well as bead transport through granular assemblies. Photocrosslinkable norbornene-modified hyaluronic acid is used to produce spherical and rod-shaped particles using microfluidic droplet generators and formed into shear-thinning and self-healing granular hydrogels at low and high particle packing. Rod-shaped particles form granular hydrogels that have anisotropic and interconnected pores, with pore number and size, storage moduli, and extrusion forces influenced by particle shape and packing. Robust in vitro sprouting of endothelial cells from embedded cellular spheroids is observed with rod-shaped particles, including higher sprouting densities and sprout lengths when compared to hydrogels with spherical particles. Cellular invasion into granular hydrogels when injected subcutaneously in vivo is significantly greater with rod-shaped particles, whereas a gradient of cellularity is observed with spherical particles. Overall, this work demonstrates potentially superior functional properties of granular hydrogels with rod-shaped particles for tissue repair.
A rise-to-threshold signal for a relative value deliberation
Authors: Vijayan Vikram , Wang Fei , Wang Kaiyu , Chakravorty Arun , Adachi Atsuko , Akhlaghpour Hessameddin , Dickson Barry J. , Maimon Gaby 
Published: September 2021

AbstractWhereas progress has been made in identifying neural signals related to rapid, cued decisions1–4, less is known about how brains guide and terminate more ethologically relevant deliberations, where an animal’s own behavior governs the options experienced over minutes5–8. Drosophila search for many seconds to minutes for egg-laying sites with high relative value9, 10 and neurons, called oviDNs, exist whose activity fulfills necessity and sufficiency criteria for initiating the egg-deposition motor program11. Here we show that oviDNs express a calcium signal that rises over seconds to minutes as a fly deliberates whether to lay an egg. The calcium signal dips when an egg is internally prepared (ovulated), rises at a rate related to the relative value of the current substrate being experienced, and reaches a consistent peak just prior to the abdomen bend for egg deposition. We provide perturbational evidence that the egg-deposition motor program is initiated once this signal hits a threshold and that sub-threshold variation in the signal regulates the time spent deliberating and, ultimately, the option chosen. These results argue that a rise-to-threshold signal guides Drosophila to lay eggs on substrate options with high relative value, with each egg-laying event representing a self-paced decision similar to real-world decisions made by humans and other mammals.
Glutathione contributes to plant defense against parasitic cyst nematodes
Authors: Hasan M. Shamim , Chopra Divykriti , Damm Anika , Koprivova Anna , Kopriva Stanislav , Meyer Andreas J. , Müller-Schüssele Stefanie , Grundler Florian M.W. , Siddique Shahid 
Published: September 2021

AbstractCyst nematodes (CNs) are an important group of root-infecting sedentary endoparasites that severely damage many crop plants worldwide. An infective CN juvenile enters the host’s roots and migrates towards the vascular cylinder, where it induces the formation of syncytial feeding cells, which nourish the CN throughout its parasitic stages. Here, we examined the role of glutathione (L-γ-glutamyl-L-cysteinylglycine, GSH) in Arabidopsis thaliana upon infection with the CN Heterodera schachtii. Arabidopsis lines with mutations pad2, cad2, or zir1 in the glutamate–cysteine ligase (GSH1) gene, which encodes the first enzyme in the glutathione biosynthetic pathway, displayed enhanced CN susceptibility, but susceptibility was reduced for rax1, another GSH1 allele. Biochemical analysis revealed differentially altered thiol levels in these mutants that was independent of nematode infection. All GSH-deficient mutants exhibited impaired activation of defense marker genes as well as genes for biosynthesis of the antimicrobial compound camalexin early in infection. Further analysis revealed a link between glutathione-mediated plant susceptibility to CN infection and the production of camalexin upon nematode infection. These results suggest that GSH levels affects plant susceptibility to CN by fine-tuning the balance between the cellular redox environment and the production of compounds related to defense against infection.
Learning of biased representations in LIP through interactions between recurrent connectivity and Hebbian plasticity
Authors: Zhang Wujie , Gottlieb Jacqueline , Miller Kenneth D. 
Published: September 2021

SummaryWhen monkeys learn to group visual stimuli into arbitrary categories, lateral intraparietal area (LIP) neurons become category-selective. Surprisingly, the representations of learned categories are overwhelmingly biased: nearly all LIP neurons in a given animal prefer the same category over other behaviorally equivalent categories. We propose a model where such biased representations develop through the interplay between Hebbian plasticity and the recurrent connectivity of LIP. In this model, two separable processes of positive feedback unfold in parallel: in one, category selectivity emerges from competition between prefrontal inputs; in the other, bias develops due to lateral interactions among LIP neurons. This model reproduces the levels of category selectivity and bias observed under a variety of conditions, as well as the redevelopment of bias after monkeys learn redefined categories. It predicts that LIP receptive fields would spatially cluster by preferred category, which we experimentally confirm. In summary, our model reveals a mechanism by which LIP learns abstract representations and assigns meaning to sensory inputs.
LncRNA Miat and Metadhedrin maintain a treatment resistant stem-like niche of medulloblastoma cells
Authors: Peng Kai-Lin , Vasudevan Harish N. , Lockney Dennis T. , Baum Rachel , Hendrickson Ronald C. , Raleigh David R. , Schmitt Adam M. 
Published: September 2021

AbstractMedulloblastoma is a pediatric brain tumor arising from the cerebellum and brainstem that is curable with surgery and aggressive cytotoxic therapy including craniospinal irradiation and chemotherapy. Preclinical models indicate that a small pool of de-differentiated, stem cell-like medulloblastoma cells are resistant to cytotoxic treatment and contribute to medulloblastoma relapse after aggressive therapy. Here, we identify Miat as a Shh and Myc regulated long noncoding RNA (lncRNA) that is required for maintenance of a treatment-resistant medulloblastoma stem-like phenotype. Loss of Miat delays medulloblastoma formation in genetically defined mouse models of Shh medulloblastoma and enforces differentiation of tumorigenic stem-like medulloblastoma cells into a non-tumorigenic cell state. Miat facilitates treatment resistance in part by downregulating p53 signaling and impairing radiation induced cell death in stem-like MB cells, which can be reversed by therapeutic inhibition of Miat with antisense oligonucleotides. The RNA binding protein Metadhedrin (Mtdh), which is associated with resistance to cytotoxic therapy in numerous types of cancer, co-localizes with Miat in stem-like medulloblastoma cells. Further, loss of Mtdh activates p53 signaling and reduces tumorigenicity in stem-like medulloblastoma cells. Taken together, these data reveal a critical role for the lncRNA Miat in sustaining a treatment resistant pool of tumorigenic stem-like medulloblastoma cells.