bluuebunny/crossref_metadata_2025_split huggingface dataset:
Template activating factor-I epigenetically regulates the TERT transcription in human cancer cells
Authors: Kato Kohsuke , Kawaguchi Atsushi , Nagata Kyosuke 
Published: September 2021

AbstractTelomere, the terminus of linear chromosome in eukaryotes, is composed of specific repeat DNA which is mainly synthesized by a protein complex called telomerase. The maintenance of telomere DNA is important for unlimited proliferative capacity of cancer cells. The telomerase activity is controlled by the expression level of telomerase reverse transcriptase (TERT), a catalytic unit of telomerase, in some species including human. Therefore, to reveal the regulatory mechanisms of the transcription of TERT gene is important for understanding the tumor development. We found that template activating factor-I (TAF-I), a multifunctional nuclear protein, is involved in the transcriptional activation of TERT for the maintenance of telomere DNA in HeLa cells. TAF-I maintains the histone H3 modifications involved in transcriptional activation and hypomethylated cytosines in CpG dinucleotides around the transcription start site (TSS) in the TERT gene locus. Collectively, TAF-I is involved in the maintenance of telomere DNA through the regulation of TERT transcription, then consequently the occurrence and/or recurrence of cancer cells.
An alcoholic extract of Thuja orientalis L. leaves inhibits autophagy by specifically targeting pro-autophagy PIK3C3/VPS34 complex
Authors: Jung Juneyoung , Chun Yoomi , Jang Young Pyo , Oh Myung Sook , Kim Jeong Hee , Kim Joungmok 
Published: September 2021

AbstractAutophagy is a lysosome-dependent degradation program to maintain cellular homeostasis in response to a variety of stressful conditions, such as long-lived or non-functional subcellular organelles, protein aggregates, nutrient limitation, and virus/bacteria infection. Accordingly, dysregulation of autophagy is closely associated with many human pathophysiological conditions, such as neurodegenerative diseases, aging, and cancer, and autophagy is highlighted as an important therapeutic target for these human diseases. In autophagy process, PIK3C3/VPS34 complex plays important roles in autophagosome biogenesis. Accumulating evidences that inhibition of PIK3C3/VPS34 complex successfully blocks autophagy make the complex as an attractive target for the development of autophagy-specific inhibitors. However, considering that various forms of PIK3C3/VPS34 complex exist and they are involved in many different cellular functions, the targeting of the pro-autophagy PIK3C3/VPS34 complex is required to specifically inhibit autophagy. To identify autophagy inhibitors targeting the pro-autophagy complex, we have performed the screening of a customized natural product library consisting of 35 herbal extracts which are widely used in the oriental medicine as anti-inflammation and/or anti-tumor reagents. We discovered that an alcoholic extract of Thuja orientalis L. leaves inhibits pro-autophagy complex formation by disrupting the interaction between autophagy-specific factor, ATG14L, and the complex core unit Vps34-Beclin 1 in vitro. Also, it inhibits the nutrient starvation induced autophagy and diminished pro-autophagy PIK3C3/VPS34 complex containing either ATG14L or UVRAG in several cell lines. Our results strongly suggest that Thuja orientalis L. leave extract functions as an autophagy-specific inhibitor not decreasing the complex activity nor the protein level, but preventing protein–protein interaction between autophagy-specific factor (ATG14L and UVRAG) and PIK3C3/VPS34 complex core unit, Vps34-Beclin 1, thereby specifically depleting the pro-autophagy complex to inhibit autophagy.
Limited-angle computed tomography with deep image and physics priors
Authors: Barutcu Semih , Aslan Selin , Katsaggelos Aggelos K. , Gürsoy Doğa 
Published: September 2021

AbstractComputed tomography is a well-established x-ray imaging technique to reconstruct the three-dimensional structure of objects. It has been used extensively in a variety of fields, from diagnostic imaging to materials and biological sciences. One major challenge in some applications, such as in electron or x-ray tomography systems, is that the projections cannot be gathered over all the angles due to the sample holder setup or shape of the sample. This results in an ill-posed problem called the limited angle reconstruction problem. Typical image reconstruction in this setup leads to distortion and artifacts, thereby hindering a quantitative evaluation of the results. To address this challenge, we use a generative model to effectively constrain the solution of a physics-based approach. Our approach is self-training that can iteratively learn the nonlinear mapping from partial projections to the scanned object. Because our approach combines the data likelihood and image prior terms into a single deep network, it is computationally tractable and improves performance through an end-to-end training. We also complement our approach with total-variation regularization to handle high-frequency noise in reconstructions and implement a solver based on alternating direction method of multipliers. We present numerical results for various degrees of missing angle range and noise levels, which demonstrate the effectiveness of the proposed approach.
Mobile health technology for diverse populations: challenges and opportunities
Authors: Diao James A. , Kvedar Joseph 
Published: September 2021

AbstractNearly half of US adults have hypertension, and three in four cases are not well-controlled. Due to structural barriers, underserved communities face greater burdens of disease, less consistent management, and worse outcomes. Mobile technology presents an opportunity to reduce financial, geographic, and workforce barriers, but little data currently support its use in populations with digital disparities. A recent article by Khoong et al. systematically reviews the literature to quantify outcomes for these populations and provide a roadmap toward more inclusive mobile health strategies.
Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics
Authors: López-González Ane , Panda Rajanikant , Ponce-Alvarez Adrián , Zamora-López Gorka , Escrichs Anira , Martial Charlotte , Thibaut Aurore , Gosseries Olivia , Kringelbach Morten L. , Annen Jitka , Laureys Steven , Deco Gustavo 
Published: September 2021

AbstractLow-level states of consciousness are characterized by disruptions of brain activity that sustain arousal and awareness. Yet, how structural, dynamical, local and network brain properties interplay in the different levels of consciousness is unknown. Here, we study fMRI brain dynamics from patients that suffered brain injuries leading to a disorder of consciousness and from healthy subjects undergoing propofol-induced sedation. We show that pathological and pharmacological low-level states of consciousness display less recurrent, less connected and more segregated synchronization patterns than conscious state. We use whole-brain models built upon healthy and injured structural connectivity to interpret these dynamical effects. We found that low-level states of consciousness were associated with reduced network interactions, together with more homogeneous and more structurally constrained local dynamics. Notably, these changes lead the structural hub regions to lose their stability during low-level states of consciousness, thus attenuating the differences between hubs and non-hubs brain dynamics.
Label-free concurrent 5-modal microscopy (Co5M) resolves unknown spatio-temporal processes in wound healing
Authors: Seeger Markus , Dehner Christoph , Jüstel Dominik , Ntziachristos Vasilis 
Published: September 2021

AbstractThe non-invasive investigation of multiple biological processes remains a methodological challenge as it requires capturing different contrast mechanisms, usually not available with any single modality. Intravital microscopy has played a key role in dynamically studying biological morphology and function, but it is generally limited to resolving a small number of contrasts, typically generated by the use of transgenic labels, disturbing the biological system. We introduce concurrent 5-modal microscopy (Co5M), illustrating a new concept for label-free in vivo observations by simultaneously capturing optoacoustic, two-photon excitation fluorescence, second and third harmonic generation, and brightfield contrast. We apply Co5M to non-invasively visualize multiple wound healing biomarkers and quantitatively monitor a number of processes and features, including longitudinal changes in wound shape, microvascular and collagen density, vessel size and fractality, and the plasticity of sebaceous glands. Analysis of these parameters offers unique insights into the interplay of wound closure, vasodilation, angiogenesis, skin contracture, and epithelial reformation in space and time, inaccessible by other methods. Co5M challenges the conventional concept of biological observation by yielding multiple simultaneous parameters of pathophysiological processes in a label-free mode.
The making of a potent L-lactate transport inhibitor
Authors: Bosshart Patrick D. , Kalbermatter David , Bonetti Sara , Fotiadis Dimitrios 
Published: September 2021

AbstractL-lactate is an important metabolite, energy source, and signaling molecule in health and disease. In mammals, its transport across biological membranes is mediated by monocarboxylate transporters (MCTs) of the solute carrier 16 (SLC16) family. Malfunction, overexpression or absence of transporters of this family are associated with diseases such as cancer and type 2 diabetes. Moreover, lactate acts as a signaling molecule and virulence factor in certain bacterial infections. Here, we report the rational, structure-guided identification of potent, nanomolar affinity inhibitors acting on an L-lactate-specific SLC16 homologue from the bacterium Syntrophobacter fumaroxidans (SfMCT). High-resolution crystal structures of SfMCT with bound inhibitors uncovered their interaction mechanism on an atomic level and the role of water molecules in inhibitor binding. The presented systematic approach is a valuable procedure for the identification of L-lactate transport inhibitors. Furthermore, identified inhibitors represent potential tool compounds to interfere with monocarboxylate transport across biological membranes mediated by MCTs.
The anatomy of unfolding of Yfh1 is revealed by site-specific fold stability analysis measured by 2D NMR spectroscopy
Authors: Puglisi Rita , Karunanithy Gogulan , Hansen D. Flemming , Pastore Annalisa , Temussi Piero Andrea 
Published: September 2021

AbstractMost techniques allow detection of protein unfolding either by following the behaviour of single reporters or as an averaged all-or-none process. We recently added 2D NMR spectroscopy to the well-established techniques able to obtain information on the process of unfolding using resonances of residues in the hydrophobic core of a protein. Here, we questioned whether an analysis of the individual stability curves from each resonance could provide additional site-specific information. We used the Yfh1 protein that has the unique feature to undergo both cold and heat denaturation at temperatures above water freezing at low ionic strength. We show that stability curves inconsistent with the average NMR curve from hydrophobic core residues mainly comprise exposed outliers that do nevertheless provide precious information. By monitoring both cold and heat denaturation of individual residues we gain knowledge on the process of cold denaturation and convincingly demonstrate that the two unfolding processes are intrinsically different.
A geometric-information-enhanced crystal graph network for predicting properties of materials
Authors: Cheng Jiucheng , Zhang Chunkai , Dong Lifeng 
Published: September 2021

AbstractGraph neural networks (GNNs) have been used previously for identifying new crystalline materials. However, geometric structure is not usually taken into consideration, or only partially. Here, we develop a geometric-information-enhanced crystal graph neural network (GeoCGNN) to predict the properties of crystalline materials. By considering the distance vector between each node and its neighbors, our model can learn full topological and spatial geometric structure information. Furthermore, we incorporate an effective method based on the mixed basis functions to encode the geometric information into our model, which outperforms other GNN methods in a variety of databases. For example, for predicting formation energy our model is 25.6%, 14.3% and 35.7% more accurate than CGCNN, MEGNet and iCGCNN models, respectively. For band gap, our model outperforms CGCNN by 27.6% and MEGNet by 12.4%.
Fe clusters embedded on N-doped graphene as a photothermal catalyst for selective CO2 hydrogenation
Authors: Szalad Horatiu , Peng Lu , Primo Ana , Albero Josep , García Hermenegildo 
Published: September 2021

Fe clusters incorporated in a graphene matrix exhibit a photo-assisted increase of 110% in reverse water gas shift CO2 hydrogenation under UV-Vis light irradiation at 120 mW cm−2.
Catalytic atroposelective dynamic kinetic resolutions and kinetic resolutions towards 3-arylquinolinesviaSNAr
Authors: Cardenas Mariel M. , Saputra Mirza A. , Gordon Deane A. , Sanchez Andrea N. , Yamamoto Nobuyuki , Gustafson Jeffrey L. 
Published: September 2021

Herein we report the catalytic atroposelective syntheses of pharmaceutically relevant 3-arylquinolines via the nucleophilic aromatic substitution (SNAr) of thiophenols into 3-aryl-2-fluoroquinolines mediated by Cinchona alkaloid-derived ureas.
A high-performance NiO/TiO2 UV photodetector: the influence of the NiO layer position
Authors: Yang Dongmei , Du Fenqi , Ren Yuxin , Kang Tianxin , Hu Peng , Teng Feng , Fan Haibo 
Published: September 2021

The influence of NiO layer position in NiO/TiO2 hybrid detectors has been studied. Both devices show highly selective absorption in the ultraviolet range. The D-NT PD showed a low dark current, a high on/off ratio and self-powered performance.
Technologiebasierte psychologische Interventionen (TBIs) zur Überbrückung von Wartezeiten und zur Nachsorge bei Menschen mit depressiven Erkrankungen – der aktuelle Forschungsstand
Authors: Köhnen Moritz , Härter Martin , Liebherz Sarah 
Published: September 2021

ZusammenfassungZiel ist es, den aktuellen Forschungsstand hinsichtlich Wirksamkeit, Akzeptanz und Sicherheit von technologiebasierten psychologischen Interventionen (TBIs) zur Überbrückung von Wartezeiten auf weiterführende Behandlungen (z. B. ambulante Psychotherapie) und zur Nachsorge von Betroffenen mit Depressionen darzustellen und mögliche Implikationen für zukünftige Forschung abzuleiten. Auf Basis einer systematischen Übersichtsarbeit (n=83 eingeschlossene Studien) zu TBIs bei Menschen mit diagnostizierten depressiven Erkrankungen wird der aktuelle Forschungsstand beschrieben. Im Rahmen der systematischen Übersichtarbeit konnten insgesamt 5 Studien identifiziert werden, die TBIs zur Überbrückung von Wartezeiten (n=1) oder zur Nachsorge (n=4) von Betroffenen mit Depressionen eingesetzt haben. Die narrative Ergebniszusammenfassung weist auf die Wirksamkeit von TBIs zur Nachsorge von Menschen mit Depressionen hin. Allerdings liegen nur sehr wenige Daten zu TBIs im Hinblick auf Akzeptanz, Sicherheit und zur Überbrückung von Wartezeiten vor. Die aktuelle Evidenzlage ist nicht ausreichend, um TBIs zur Überbrückung von Wartezeiten und zur Nachsorge für die Praxis empfehlen zu können. Es bedarf weiterer randomisiert-kontrollierter Studien, welche Wirksamkeit, Akzeptanz und Sicherheit sowie Implementierbarkeit von TBIs unter Routinebedingungen erfassen.
Flexible Resistance-Type Strain Sensors toward Monitoring Finger Movements
Authors: Lu Chao , Chen Xi 
Published: September 2021

AbstractFlexible strain sensors with superior flexibility and high sensitivity are critical to artificial intelligence, and it is favorable to develop highly sensitive strain sensors by simple and cost-effective methods. We have prepared carbon-nanotubes-enhanced thermal polyurethane nanocomposites with good mechanical and electrical properties for the fabrication of highly sensitive strain sensors. The nanomaterials were prepared through a simple but effective solvent-evaporation method, and cheap polyurethane was used as the main raw material. Only a small quantity of carbon nanotubes (mass content 5%) was doped into a polyurethane matrix with aim of enhancing the mechanical and electrical properties of the nanocomposite. The resulting flexible nanocomposite films show a highly sensitive resistance response under an external strain stimulus. Strain sensors based on these flexible composite films deliver excellent sensitivity and conformality under mechanical conditions, and can detect finger movements precisely at various bending angles.
Endoscopic full-thickness resection of T1 colorectal cancers: a retrospective analysis from a multicenter Dutch eFTR registry
Authors: Zwager Liselotte W. , Bastiaansen Barbara A. J. , van der Spek Bas W. , Heine Dimitri N. , Schreuder Ramon M. , Perk Lars E. , Weusten Bas L. A. M. , Boonstra Jurjen J. , van der Sluis Hedwig , Wolters Hugo J. , Bekkering Frank C. , Rietdijk Svend T. , Schwartz Matthijs P. , Nagengast Wouter B. , ten Hove W. Rogier , Terhaar sive Droste Jochim S. , Rando Munoz Francisco J. , Vlug Marije S. , Beaumont Hanneke , Houben Martin H. M. G. , Seerden Tom C. J. , de Wijkerslooth Thomas R. , Gielisse Eric A. R. , Hazewinkel Yark , de Ridder Rogier , Straathof Jan-Willem A. , van der Vlugt Manon , Koens Lianne , Fockens Paul , Dekker Evelien ,   on behalf of the Dutch eFTR Group
Published: September 2021

Abstract
Background Complete endoscopic resection and accurate histological evaluation for T1 colorectal cancer (CRC) are critical in determining subsequent treatment. Endoscopic full-thickness resection (eFTR) is a new treatment option for T1 CRC < 2 cm. We aimed to report clinical outcomes and short-term results.
Methods Consecutive eFTR procedures for T1 CRC, prospectively recorded in our national registry between November 2015 and April 2020, were retrospectively analyzed. Primary outcomes were technical success and R0 resection. Secondary outcomes were histological risk assessment, curative resection, adverse events, and short-term outcomes.
Results We included 330 procedures: 132 primary resections and 198 secondary scar resections after incomplete T1 CRC resection. Overall technical success, R0 resection, and curative resection rates were 87.0 % (95 % confidence interval [CI] 82.7 %–90.3 %), 85.6 % (95 %CI 81.2 %–89.2 %), and 60.3 % (95 %CI 54.7 %–65.7 %). Curative resection rate was 23.7 % (95 %CI 15.9 %–33.6 %) for primary resection of T1 CRC and 60.8 % (95 %CI 50.4 %–70.4 %) after excluding deep submucosal invasion as a risk factor. Risk stratification was possible in 99.3 %. The severe adverse event rate was 2.2 %. Additional oncological surgery was performed in 49/320 (15.3 %), with residual cancer in 11/49 (22.4 %). Endoscopic follow-up was available in 200/242 (82.6 %), with a median of 4 months and residual cancer in 1 (0.5 %) following an incomplete resection.
Conclusions eFTR is relatively safe and effective for resection of small T1 CRC, both as primary and secondary treatment. eFTR can expand endoscopic treatment options for T1 CRC and could help to reduce surgical overtreatment. Future studies should focus on long-term outcomes.
Nickel Hydride Catalyzed Remote Hydroarylation of Olefins
Authors: He Yuli , Tao Ran , Zhu Shaolin 
Published: September 2021

AbstractMetal hydride catalyzed remote hydrofunctionalization has attracted extensive attention in the past decade, as it provides a complementary approach for selective functionalization of remote C(sp3)–H bonds. Recently, a wide variety of olefinic remote hydrofunctionalization reactions have been realized through the synergistic combination of NiH-catalyzed chain-walking and Ni-catalyzed cross-coupling. In this Account we discuss our recent achievements in the remote hydroarylation of olefins and in asymmetric hydroarylation.1	Introduction2	NiH-Catalyzed Remote Hydroarylation3	Progress in Asymmetric Catalysis4	Conclusion
I2/DMSO-Promoted Synthesis of Chromeno[4,3-b]quinolines through an Imine Formation/Aza-Diels–Alder/Aromatization Tandem Reaction under Metal-Catalyst- and Photosensitizer-Free Conditions
Authors: Kouznetsov Vladimir V. , Peñaranda Gómez Angélica , Puerto Galvis Carlos E. , Macías Mario A. , Ochoa-Puentes Cristian 
Published: September 2021

AbstractA tandem approach was developed for the efficient synthesis of substituted chromeno[4,3-b]quinolines from arylamines and O-cinnamyl salicylaldehydes under metal-catalyst- and photosensitizer-free reaction conditions. Our protocol is based on an inexpensive I2/DMSO system in which molecular iodine first acts as a Lewis acid to promote the formation of the corresponding imine bearing the alkene moiety; then, this species fulfills a second role by catalyzing an intramolecular aza-Diels–Alder cycloaddition to generate the respective tetrahydrochromenoquinoline as an intermediate. Finally, the dual behavior of DMSO as an oxidant and as a solvent proved crucial at this stage, allowing the regeneration of I2 and promoting the aromatization of the tetrahydrochromenoquinoline intermediates to yield the desired 7-aryl-6H-chromeno[4,3-b]quinolines. This protocol is mild and easy to perform, features high step-economy (tandem process) and provides a new access to biologically important nitrogen- and oxygen-containing heterocyclic molecules.
Pathogen-Associated Molecular Patterns: The Synthesis of Heptose Phosphates and Derivatives
Authors: Sauvageau Janelle , Williams Dean , Jamshidi Mohammad P. 
Published: September 2021

AbstractLipopolysaccharide biosynthesis metabolites, such as d-glycero-β-d-manno-heptopyranosyl 1,7-diphosphate, d-glycero-β-d-manno-heptopyranosyl phosphate, and adenosine 5′-(l-glycero-β-d-manno-heptopyranosyl)diphosphate, have been found to activate NF-κB via alpha-kinase 1 and TRAF-interacting protein with forkhead associated domain. This axis has been determined as a novel pathway of innate immunity yet to be targeted for immunomodulatory treatment approaches. Key in understanding this new axis has been the ability to synthesize these metabolites. The design of synthetic analogues and probes have also been published not only to design new drugs, but also to gain insight into the mechanism of action for these compounds. The focus of the present review is the synthesis of heptose phosphate metabolites­ as well as synthetic analogues and probes.1	Introduction2	Synthesis of d-glycero-d-manno-Heptose2.1	Using d-Mannose as Starting Material2.2	Using d-Ribose as Starting Material2.3	Using 2,2-Dimethyl-1,3-dioxan-5-one as Starting Material3	Synthesis of l-glycero-d-manno-Heptose3.1	Using d-Mannose as Starting Material3.2	Using 2,2-Dimethyl-1,3-dioxan-5-one as Starting Material3.3	Using l-Lyxose as Starting Material4	Synthesis of Heptose Phosphates4.1	Synthesis of d-glycero-β-d-manno-Heptose 1,7-Diphosphate4.2	Synthesis of Heptose Phosphate Derivatives4.2.1	Development of Scaffolds for Conjugation4.2.2	Development of Heptose Phosphates Derivatives for Cell Intake and Metabolic Stability5	Conclusion and Outlook