bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impairments of Implicit Emotional Neurocognitive Processing in College Students With Subthreshold Depression: An ERP Study
Authors: Zhang Jinpeng , Li Xue , Du Jian , Tan Xi , Zhang Jing , Zhang Yichunzi , You Mingyan , Zhao Mingyang , Gao Yue , Wang Junyan , Pan Chang , Kong Junhui 
Published: February 2020

Purpose:
Previous studies have proved that the people with subthreshold depression (SD) had negative cognitive bias in conscious level. However, it still remains a point of controversy whether they have impairment in unconscious level. The present study aimed to explore whether the implicit emotional processing differed between people with SD and healthy controls (HCs) and the details by analyzing the event-related potentials.

Methods
We recruited 35 SD participants and 35 age- and sex-matched HCs to collect event-related potential data. A visual oddball task was used to investigate implicit emotional processing with three types of emotional pictures (positive, negative, and neutral as stimuli). The N2 and P3 components were used to compare the neurocognitive differences of implicit emotional processing between two groups.

Results:
Compared with the HC group, the SD participants showed no significant differences in the amplitudes or latencies of the N2 component for any kind of emotional stimuli but smaller P3 amplitudes for all kinds of emotional stimuli. The P3 latencies for positive stimuli were slower than the negative ones in the SD group but not in the HC group. The SD group showed slower P3 latencies than the HC group only for positive stimuli. There was a positive correlation between Center for Epidemiological Survey, Depression Scale score and average N2 and P3 amplitudes.

Conclusions:
The SD people demonstrate implicit cognitive processing impairments, and the impairments of emotional cognitive processing in SD may exist mainly in evaluative stage and primarily for positive stimuli.
A protocol for a pilot randomized controlled trial of guided self-help Behavioral Activation intervention for geriatric depression
Authors: Wang Xiaoxia , Zhou Xiaoyan , Yang Hui 
Published: February 2020

AbstractBackgroundAging is a social concern. Despite increased incidence of depression in Chinese older populations, they are often misdiagnosed and undertreated, which pose a challenge to our health care system. Depressed older adults often suffer from lack of motivation. Evidence-based guided self-help behavioral activation treatment is effective in reducing anhedonia and amotivation symptoms, however the efficacy in in elderly depressed patients are unknown yet. So the current study aim to pilot the self-help guided intervention for the treatment of depression in elderly patients.Methods/designA pilot randomized controlled trial with 30 elderly inpatients with major depressive disorder will be conducted. Participants attending clinical psychological clinics at Mental Health Center of Chongqing will be randomized to receive guided self-help BA intervention or to a 6-week waiting list control. Participants in the treatment group will receive 6 sessions of guided self-help BA intervention delivered over the telephone. The waiting list control group will receive the intervention after a waiting period of 6 weeks. Exclusion criteria are limited to those at significant risk of harm to self or others, the presence of primary mental health disorder other than depression or intellectual disability at a level meaning potential participants would be unable to access the intervention. The study has ethical approval from the Chinese Research Ethics Committee. Our hypothesis is that guided self-help BA will effective when compared with the waiting-list intervention.ResultsEffects of the treatment were observed on three outcomes domains: (1) clinical outcomes (symptom severity, recovery rates); (2) process variables (patient satisfaction, attendance, dropout); and (3) economic outcomes (cost and resource use). We also examine mediators of outcomes in terms of patient variables (behavioral activation/inhibition motivation). Results will be disseminated to patients, the wider public, clinicians and researchers through publication in journals and presentation at conferences.DiscussionThis is the first study to investigate guided self-help interventions for China geriatric depressed patients, a group which is currently under-represented in mental health research. The intervention is modular and adapted from an empirically supported behavioral activation treatment for depression (BATD). The generalizability and broad inclusion criteria are strengths but may also lead to some weaknesses.
TG-Interacting Factor 1 expression quantitatively impacts survival in acute myeloid leukemia
Authors: Yan Ling , Means-Powell Julie A. , Martincic Danko , Kravtsov Vladimir D. , Shyr Yu , Greer John P. , Davé Utpal P. , Koury Mark J. , Wotton David , Hamid Rizwan , Brandt Stephen J. 
Published: February 2020

AbstractApplying transcriptional profiling analysis to myeloblasts from 59 adult patients with acute myeloid leukemia (AML) treated at our institution, we found that expression of the three-amino acid loop extension (TALE) homeobox gene TG-Interacting Factor 1 (TGIF1) correlated with overall and relapse-free survival, which was then confirmed in two other cohorts of patients.Moreover, TGIF1 expression correlated with survival for all cytogenetic risk groups and was an independent prognostic factor in multivariate analysis. To elucidate the mechanism, we used Tgif1 knockout mice in which acute or chronic myeloid leukemia was induced through retroviral transfer of the MLL-AF9 or BCR-ABL fusion genes into bone marrow cells. Loss of Tgif1 accelerated disease progression, shortened survival, attenuated the response to chemotherapy, and doubled the frequency of leukemia-initiating cells. RNA-based sequencing analysis showed that genes associated with transforming growth factor-β (TGF-β) and retinoic acid signaling pathways were differentially affected in Tgif1-/- compared to Tgif1+/+ leukemia cells.
Doubling Time of the COVID-19 Epidemic by Chinese Province
Authors: Muniz-Rodriguez Kamalich , Chowell Gerardo , Cheung Chi-Hin , Jia Dongyu , Lai Po-Ying , Lee Yiseul , Liu Manyun , Ofori Sylvia K. , Roosa Kimberlyn M. , Simonsen Lone , Viboud Cecile , Fung Isaac Chun-Hai 
Published: February 2020

AbstractCOVID-19 epidemic doubling time by Chinese province was increasing from January 20 through February 9, 2020. The harmonic mean of the arithmetic mean doubling time estimates ranged from 1.4 (Hunan, 95% CI, 1.2-2.0) to 3.1 (Xinjiang, 95% CI, 2.1-4.8), with an estimate of 2.5 days (95% CI, 2.4-2.6) for Hubei.
When to depart from a stopover site? Time since arrival matters more than current weather conditions
Authors: Roques Sébastien , Henry Pierre-Yves , Guyot Gaétan , Bargain Bruno , Cam Emmanuelle , Pradel Roger 
Published: February 2020

AbstractOn the journey to wintering sites, migratory birds usually alternate between flights and stopovers where they rest and refuel. Migration strategies are assumed to differ according to season: a time-minimization pre-breeding migration strategy towards breeding locations, and an energy-minimization post-breeding migration strategy to wintering ones. The duration of flights and stopovers determines the energy requirements and the total duration of the journey. Since migrating birds actually spend most of the time at stopovers, selection to minimize the amount of energy or time spent on migration is very likely to operate on the effectiveness of stopover rest and refueling. Here we address the relative contribution of factors to departure decisions from stopover sites during the post-breeding migration in a long-distance migratory songbird. When capture probability is low it is impossible to assess the variation in body condition over the entire duration of the stopover. To get around this, we use Time Since Arrival (TSA) as a proxy for the changes in the state of individuals during the stopover. We propose that TSA is an integrative proxy for resting, feeding and fattening efficiency. We develop a capture-recapture model to address the relationship between departure probability, estimated TSA, and weather conditions. Using a 20-year dataset from sedge warblers, we show that TSA has a larger effect on departure probability than weather conditions. Low humidity and an increase in atmospheric pressure in the days preceding departure are associated with higher departure probability, but these effects are smaller than that of TSA.
Light-driven ATP production promotes mRNA biosynthesis inside hybrid multi-compartment artificial protocells
Authors: Altamura Emiliano , Albanese Paola , Marotta Roberto , Milano Francesco , Fiore Michele , Trotta Massimo , Stano Pasquale , Mavelli Fabio 
Published: February 2020

AbstractThe construction of energetically autonomous artificial protocells is one of the most urgent and challenging requirements in bottom-up synthetic biology. Here we show a hybrid multi-compartment approach to build Artificial Simplified-Autotroph Protocells (ASAPs) in an effective manner. Chromatophores obtained fromRhodobacter sphaeroidesaccomplish the photophosphorylation of ADP to ATP functioning as nanosized photosynthetic organellae when encapsulated inside artificial giant phospholipid vesicles. Under continuous illumination chromatophores produce ATP that in turn sustains the transcription of a DNA gene by T7 RNA polymerase inside ASAPs. Cryo-EM and time-resolved spectroscopy were used for characterizing the chromatophore morphology and the orientation of the photophosphorylation proteins, which allow high ATP production rates (up to ~100 ATP/s per ATP synthase). mRNA biosynthesis inside individual vesicles has been determined by confocal microscopy. The hybrid multi-compartment approach here proposed appears at the same time convenient and effective, and thus very promising for the construction of full-fledged artificial protocells.
A robust and interpretable, end-to-end deep learning model for cytometry data
Authors: Hu Zicheng , Tang Alice , Singh Jaiveer , Bhattacharya Sanchita , Butte Atul J. 
Published: February 2020

AbstractCytometry technologies are essential tools for immunology research, providing high-throughput measurements of the immune cells at the single-cell level. Traditional approaches in interpreting and using cytometry measurements include manual or automated gating to identify cell subsets from the cytometry data, providing highly intuitive results but may lead to significant information loss, in that additional details in measured or correlated cell signals might be missed. In this study, we propose and test a deep convolutional neural network for analyzing cytometry data in an end-to-end fashion, allowing a direct association between raw cytometry data and the clinical outcome of interest. Using nine large CyTOF studies from the open-access ImmPort database, we demonstrated that the deep convolutional neural network model can accurately diagnose the latent cytomegalovirus (CMV) in healthy individuals, even when using highly heterogeneous data from different studies. In addition, we developed a permutation-based method for interpreting the deep convolutional neural network model and identified a CD27-CD94+ CD8+ T cell population significantly associated with latent CMV infection. Finally, we provide a tutorial for creating, training and interpreting the tailored deep learning model for cytometry data using Keras and TensorFlow (github.com/hzc363/DeepLearningCyTOF).
The Potassium Channel Subunit Kvβ1 is Required for Synaptic Facilitation
Authors: Cho In Ha , Panzera Lauren C. , Chin Morven , Alpizar Scott A. , Hoppa Michael B. 
Published: February 2020

AbstractAnalysis of the presynaptic action potential’s (APsyn) role in synaptic facilitation in hippocampal pyramidal neurons has been difficult due to size limitations of axons. We overcame these size barriers by combining high resolution optical recordings of membrane potential, exocytosis and Ca2+in cultured hippocampal neurons. These recordings revealed a critical and selective role for Kv1 channel inactivation in synaptic facilitation of excitatory hippocampal neurons. Presynaptic Kv1 channel inactivation was mediated by the Kvβ1 subunit, and had a surprisingly rapid onset that was readily apparent even in brief physiological stimulation paradigms including paired-pulse stimulation. Genetic depletion of Kvβ1 blocked all broadening of the APsynduring high frequency stimulation and eliminated synaptic facilitation without altering the initial probability of vesicle release. Thus using all quantitative optical measurements of presynaptic physiology, we reveal a critical role for presynaptic Kvchannels in synaptic facilitation at small presynaptic terminals of the hippocampal neurons upstream of exocytic machinery.SignificanceNerve terminals generally engage in two opposite and essential forms of synaptic plasticity (facilitation or depression) during high frequency stimulation that play critical roles in learning and memory. Measurements of the electrical impulses (action potentials) underlying these two forms of plasticity has been difficult in small nerve terminals due to their size. In this study we deployed a combination of optical measurements of vesicle fusion and membrane voltage to overcome this previous size barrier. Here, we found a unique molecular composition of Kv1 channel β-subunits that causes broadening of the presynaptic action essential to synaptic facilitation. Disruption of the Kvβ1 inactivation mechanism switches excitatory nerve terminals into a depressive state, without any disruption to initial probability of vesicle fusion.
P4HA2 is associated with prognosis, promotes proliferation, invasion, migration and EMT in glioma
Authors: Lin Jing , Wu Xiao-Jun , Wei Wen-Xin , Gao Xing-Chun , Jin Ming-Zhu , Cui Yong , Jin Wei-Lin , Qiu Guan-Zhong 
Published: February 2020

AbstractProlyl-4-hydroxylase subunit 2 (P4HA2), as a member of collagen modification enzymes, is induced under hypoxic conditions with essential roles in the collagen maturation, deposition as well as the remodeling of extracellular matrix(ECM). Mounting evidence has suggested that deregulation of P4HA2 is common in cancer. However, the expression pattern and molecular mechanisms of P4HA2 in glioma remain unknown. Here, we demonstrate that P4HA2 is overexpressed in glioma and inversely correlates with patient survival. Knockdown of P4HA2 inhibits proliferation, migration, invasion, and epithelial-to-mesenchymal transition (EMT)-like phenotype of glioma cellsin vitroand suppressed tumor xenograft growthin vivo. Mechanistically, bioinformatics analysis shows that ECM-receptor interaction and PI3K/AKT pathway are the most enriched pathways of the co-expressed genes with P4HA2. Furthermore, P4HA2 mRNA was positively correlated with mRNA expressions of a series of collagen genes, but not mRNA of PI3K or AKT1/2. Conversely, both the protein expressions of collagens and phosphorylated PI3K/AKT could be downregulated either by silencing of P4HA2 expression or inhibition of its prolyl hydroxylase. Moreover, the inhibitory effects on the migration, invasion and the EMT-related molecules by P4HA2 knockdown can be recapitulated by the Akt phosphorylation activator. Taken together, our findings for the first time reveal an oncogenic role of P4HA2 in the glioma malignancy. By regulating the expression of fibrillar collagens and the downstream PI3K/AKT signaling pathway, it may serve as a potential anti-cancer target for the treatment of glioma.HighlightsP4HA2 is overexpressed and correlated with poor prognosis in glioma.P4HA2 depletion inhibits glioma proliferation, migration, invasion and EMT-like phenotype in vitro and tumorigenesis in vivo.P4HA2 depletion attenuates the PI3K/AKT signaling pathway in a collagen-dependent manner.
Measuring nucleus mechanics within a living multicellular organism: Physical decoupling and attenuated recovery rate are physiological protective mechanisms of the cell nucleus under high mechanical load
Authors: Zuela-Sopilniak Noam , Bar-Sela Daniel , Charar Chayki , Wintner Oren , Gruenbaum Yosef , Buxboim Amnon 
Published: February 2020

AbstractNuclei within cells are constantly subjected to compressive, tensile and shear forces, which regulate nucleoskeletal and cytoskeletal remodeling, activate signaling pathways and direct cell-fate decisions. Multiple rheological methods have been adapted for characterizing the response to applied forces of isolated nuclei and nuclei within intact cells. However,in vitromeasurements fail to capture the viscoelastic modulation of nuclear stress-strain relationships by the physiological tethering to the surrounding cytoskeleton, extracellular matrix and cells, and tissue-level architectures. Using an equiaxial stretching apparatus, we applied a step stress and measured nucleus deformation dynamics within livingC. elegansnematodes. Nuclei deformed non-monotonically under constant load. Non-monotonic deformation was conserved across tissues and robust to nucleoskeletal and cytoskeletal perturbations, but it required intact Linker of Nucleoskeleton and Cytoskeleton (LINC) complex attachments. The transition from creep to strain recovery fits a tensile-compressive linear viscoelastic model that is indicative of nucleoskeletal-cytoskeletal decoupling under high load. Ce-lamin (lmn-1) knockdown softened the nucleus whereas nematode ageing stiffened equilibrium elasticity and decreased deformation recovery rate. Recovery lasted minutes due to physiological damping of the released mechanical energy thus protecting nuclear integrity and preventing chromatin damage.
Evaluation of the inhibitory effects of drugs on the growth ofBabesiaParasites using real-time PCR method
Authors: Zhai Xiao-hu , Feng Xiao-xiao , Wu Xian , He Wei-hua , Li Yan-yan , Yao Da-wei , Zhang Bin 
Published: February 2020

AbstractIn order to evaluate the inhibitory effects of drug on the growth ofbabesiaparasite, relative quantification real-time PCR method was developed in this study. The18S rRNAgene was used as target gene for the 2−ΔΔCtmethod analysis. Meanwhile, Chicken RNA was added into the parasitized blood for total RNA extraction. Theβ-actingene of chicken was selected as internal control gene for the 2−ΔΔCtmethod analysis. Parasitized blood 100 μL, 50 μL, 25μL, 12.5 μL, 6.25 μL was prepared forB. gibsonirelative quantification. Regression analysis results revealed that significant linear relationships between the relative quantification value and parasitemia. The18S rRNAgene expression was significantly decreased after the treatment of Diminazene aceturate and Artesunate in vitro drug sensitivity test. It suggested that this relative quantification real-time PCR method can be used in evaluating the effects of inhibitory of drug.
Prediction of meiosis-essential genes based on dynamic proteomes responsive to spermatogenesis
Authors: Fang Kailun , Li Qidan , Wei Yu , Shen Jiaqi , Guo Wenhui , Zhou Changyang , Wu Ruoxi , Ying Wenqin , Yu Lu , Zi Jin , Zhang Yuxing , Yang Hui , Liu Siqi , Chen Charlie Degui 
Published: February 2020

ABSTRACTMammalian meiosis is a specific cell division process during sexual reproduction, whereas a comprehensive proteome of the different meiotic stages has not been systematically investigated. Here, we isolated different types of spermatocytes from the testes of spermatogenesis-synchronized mice and quantified the corresponding proteomes with high-resolution mass spectrometry. A total of 8,002 proteins were identified in nine types of germ cells, and the protein signatures of spermatogenesis were characterized using the dynamic proteomes. A supervised machine learning package, FuncProFinder, was developed to predict meiosis-essential candidate genes based on changes in their protein abundance. Of the candidates without functional annotation, four of the ten genes with the highest prediction scores,Zcwpw1, Tesmin, 1700102P08Rik, andKctd19, were validated as meiosis-essential genes using knockout mouse models. The proteomic analysis of spermatogenic cells provides a solid foundation for studying the mechanism of mammalian meiosis.
Depletion of nuclear pore protein NUP210 suppresses metastasis through heterochromatin-mediated disruption of tumor cell mechanical response
Authors: Amin Ruhul , Shukla Anjali , Zhu Jacqueline Jufen , Kim Sohyoung , Wang Ping , Tian Simon Zhongyuan , Tran Andy D. , Paul Debasish , Cappell Steven D. , Burkett Sandra , Liu Huaitian , Lee Maxwell P. , Kruhlak Michael J. , Dwyer Jennifer E. , Simpson R. Mark , Hager Gordon L. , Ruan Yijun , Hunter Kent W. 
Published: February 2020

AbstractMechanical signals from the extracellular microenvironment have been implicated in tumor and metastatic progression. Here, we identified nucleoporinNUP210as a metastasis susceptibility gene for human estrogen receptor positive (ER+) breast cancer and a cellular mechanosensor.Nup210depletion suppresses lung metastasis in mouse models of breast cancer. Mechanistically, NUP210 interacts with LINC complex protein SUN2 which connects the nucleus to the cytoskeleton. In addition, the NUP210/SUN2 complex interacts with chromatin via the short isoform of BRD4 and histone H3.1/H3.2 at the nuclear periphery. InNup210knockout cells, mechanosensitive genes accumulate H3K27me3 heterochromatin modification, mediated by the polycomb repressive complex 2 and differentially reposition within the nucleus. Transcriptional repression inNup210knockout cells results in defective mechanotransduction and focal adhesion necessary for their metastatic capacity. Our study provides a new insight into the role of nuclear pore protein in cellular mechanosensation and metastasis.
The metal binding site composition of the cation diffusion facilitator protein MamM cytoplasmic domain impacts its metal responsivity
Authors: Barber-Zucker Shiran , Shahar Anat , Kolusheva Sofiya , Zarivach Raz 
Published: February 2020

AbstractThe cation diffusion facilitator (CDF) is a conserved family of divalent d-block metal cation transporters that extrude these cations selectively from the cytoplasm. CDF proteins are composed of two domains: the transmembrane domain, through which the cations are transported, and a regulatory cytoplasmic C-terminal domain (CTD). Metal binding to the CTD leads to its tighter conformation, and this sequentially promotes conformational change of the transmembrane domain which allows the actual transport of specific metal cations. It was recently shown that the magnetotactic bacterial CDF protein MamM CTD has a role in metal selectivity, as binding of different metal cations exhibits distinctive affinities and conformations. It is yet unclear whether the composition of the CTD binding sites can impact metal selectivity. Here we performed a mutational study of MamM CTD, where we exchanged the metal binding residues with different metal-binding amino acids. Using X-ray crystallography and Trp-fluorescence spectrometry, we studied the impact of the mutations on the CTD conformation in the presence of different metals. Our results reveal that the incorporation of such mutations alters the domain response to metalsin vitro, as mutant forms of the CTD bind metals differently in terms of the composition of the binding sites and the CTD conformation.CoordinatesMamM CTD structures have been deposited in the Protein Data Bank under the following accession codes: 6H5V, 6H5M, 6H5U, 6H8G, 6HAO, 6H88, 6H87, 6H8A, 6H89, 6H8D, 6H5K, 6H9Q, 6H84, 6H83, 6HA2, 6H8I, 6H9T, 6H81, 6HAN, 6H85, 6H9P, 6HHS.