bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of human hippocampal subfield microstructure and relation to associative inference
Authors: Vinci-Booher S. , Schlichting M.L. , Preston A.R. , Pestilli F. 
Published: April 2023

AbstractThe hippocampus is a complex brain structure composed of subfields that each have distinct cellular organizations. While the volume of hippocampal subfields displays age-related changes that have been associated with inference and memory functions, the degree to which the cellular organization within each subfield is related to these functions throughout development is not well understood. We employed an explicit model testing approach to characterize the development of tissue microstructure and its relationship to performance on two inference tasks, one that required memory (memory-based inference) and one that required only perceptually available information (perception-based inference). We found that each subfield had a unique relationship with age in terms of its cellular organization. While the subiculum (SUB) displayed a linear relationship with age, the dentate gyrus (DG),cornu ammonisfield 1 (CA1), andcornu ammonissubfields 2 and 3 (combined; CA2/3) displayed non-linear trajectories that interacted with sex in CA2/3. We found that the DG was related to memory-based inference performance and that the SUB was related to perception-based inference; neither relationship interacted with age. Results are consistent with the idea that cellular organization within hippocampal subfields might undergo distinct developmental trajectories that support inference and memory performance throughout development.
Distinct roles of PV and Sst interneurons in visually-induced gamma oscillations
Authors: Onorato Irene , Tzanou Athanasia , Schneider Marius , Uran Cem , Broggini Ana , Vinck Martin 
Published: April 2023

AbstractSensory processing relies on interactions between excitatory and inhibitory neurons, which are often coordinated by 30-80Hz gamma oscillations. However, the specific contributions of distinct interneurons to gamma synchronization remain unclear. We performed high-density recordings from V1 in awake mice and used optogenetics to identify PV+ (Parvalbumin) and Sst+ (Somatostatin) interneurons. PV interneurons were highly phase-locked to visually-induced gamma oscillations. Sst cells were heterogeneous, with only a subset of narrow-waveform cells showing strong gamma phase-locking. Interestingly, PV interneurons consistently fired at an earlier phase in the gamma cycle (≈6ms or 60 degrees) than Sst interneurons. Consequently, PV and Sst activity showed differential temporal relations with excitatory cells. In particular, the 1st and 2nd spikes in burst events, which were strongly gamma phase-locked, shortly preceded PV and Sst activity, respectively. These findings indicate a primary role of PV interneurons in synchronizing excitatory cells and suggest that PV and Sst interneurons control the excitability of somatic and dendritic neural compartments with precise time delays coordinated by gamma oscillations.
NULISA: a novel proteomic liquid biopsy platform with attomolar sensitivity and high multiplexing
Authors: Feng Wei , Beer Joanne , Hao Qinyu , Ariyapala Ishara S. , Sahajan Aparna , Komarov Andrei , Cha Katie , Moua Mason , Qiu Xiaolei , Xu Xiaomei , Iyengar Shweta , Yoshimura Thu , Nagaraj Rajini , Wang Li , Yu Ming , Engel Kate , Zhen Lucas , Xue Wen , Lee Chen-jung , Park Chan Ho , Peng Cheng , Zhang Kaiyuan , Grzybowski Adrian , Hahm Johnnie , Schmidt Susanne V. , Odainic Alexandru , Spitzer Jasper ,   Bonn Consortium COVIMMUNE, Buddika Kasun , Kuo Dwight , Fang Lei , Zhang Bingqing , Chen Steve , Latz Eicke , Yin Yiyuan , Luo Yuling , Ma Xiao-Jun 
Published: April 2023

AbstractThe blood proteome holds great promise for precision medicine but poses substantial challenges due to the low abundance of most plasma proteins and the vast dynamic range across the proteome. We report a novel proteomic technology – NUcleic acid Linked Immuno-Sandwich Assay (NULISA™) – that incorporates a dual capture and release mechanism to suppress the assay background and improves the sensitivity of the proximity ligation assay by over 10,000-fold to the attomolar level. It utilizes pairs of antibodies conjugated to DNA oligonucleotides that enable immunocomplex purification and generate reporter DNA containing target- and sample-specific barcodes for a next-generation sequencing-based, highly multiplexed readout. A 200-plex NULISA targeting 124 cytokines and chemokines and 80 other immune response-related proteins demonstrated superior sensitivity for detecting low-abundance proteins and high concordance with other immunoassays. The ultrahigh sensitivity allowed the detection of previously difficult-to-detect, but biologically important, low-abundance biomarkers in patients with autoimmune diseases and COVID-19. Fully automated NULISA addresses longstanding challenges in proteomic analysis of liquid biopsies and makes broad and in-depth proteomic analysis accessible to the general research community and future diagnostic applications.
GPR158 in pyramidal neurons mediates social novelty behavior via modulating synaptic transmission in mice
Authors: Wei Shoupeng , Chang Jinlong , Jiang Jian , Zhang Jin , Wang Dilong , Li Yiming , Chang Shuwen , Li Huiliang , Li Ningning 
Published: April 2023

AbstractSocial novelty impairment is a hallmark feature of autism spectrum disorder associated with synaptic dysfunction. While G-protein coupled receptor 158 (GPR158) has been shown to be essential for synaptic neurotransmission, its role in modulating social novelty remains unknown. Here, we investigated the impact of GPR158 on social behavior in mice and observed that both constitutive and cell/tissue-specific knockout ofGpr158in pyramidal neurons or the medial prefrontal cortex (mPFC) result in impaired novelty preference, but not sociability. Notably, we found a significant decline in excitatory synaptic transmission and glutamate vesicles in the mPFC synapses of globalGpr158knockouts. Mechanistically, we identified that constitutive loss ofGpr158led to suppressed Vglut1 distribution, possibly resulting from altered expression of vesicular V-ATPases and SNAREs byGpr158ablation in pyramidal neurons. Our findings suggest that GPR158 in pyramidal neurons specifically modulates social novelty and may be a potential therapeutic target for treating social disorders.Graphic AbstractHighlightsKnockout ofGpr158causes social novelty deficit in mice.Knockout ofGpr158in pyramidal neurons leads to disrupted synaptic transmission and an E-I imbalance in the mPFC.Disturbed E-I homeostasis in the mPFC is likely due to reduced density of glutamate vesicles caused byGpr158knockout.
Towards a dynamical understanding of microstate analysis of M/EEG data
Authors: Jajcay Nikola , Hlinka Jaroslav 
Published: April 2023

AbstractOne of the interesting aspects of EEG data is the presence of temporally stable and spatially coherent patterns of activity, known as microstates, which have been linked to various cognitive and clinical phenomena. However, there is still no general agreement on the interpretation of microstate analysis. Various clustering algorithms have been used for microstate computation, and multiple studies suggest that the microstate time series may provide insight into the neural activity of the brain in the resting state. This study addresses two gaps in the literature. Firstly, by applying several state-of-the-art microstate algorithms to a large dataset of EEG recordings, we aim to characterise and describe various microstate algorithms. We demonstrate and discuss why the three “classically” used algorithms ((T)AAHC and modified K-Means) yield virtually the same results, while HMM algorithm generates the most dissimilar results. Secondly, we aim to test the hypothesis that dynamical microstate properties might be, to a large extent, determined by the linear characteristics of the underlying EEG signal, in particular, by the cross-covariance and autocorrelation structure of the EEG data. To this end, we generated a Fourier transform surrogate of the EEG signal to compare microstate properties. Here, we found that these are largely similar, thus hinting that microstate properties depend to a very high degree on the linear covariance and autocorrelation structure of the underlying EEG data. Finally, we treated the EEG data as a vector autoregression process, estimated its parameters, and generated surrogate stationary and linear data from fitted VAR. We observed that such a linear model generates microstates highly comparable to those estimated from real EEG data, supporting the conclusion that a linear EEG model can help with the methodological and clinical interpretation of both static and dynamic human brain microstate properties.
Root-exuded secondary metabolites can alleviate negative plant-soil feedbacks
Authors: Gfeller Valentin , Thönen Lisa , Erb Matthias 
Published: April 2023

AbstractPlants can suppress the growth of other plants by modifying soil properties. These negative plant-soil feedbacks are often species-specific, suggesting that some plants possess resistance strategies. However, the underlying mechanisms remain largely unknown. Here, we investigated if and how benzoxazinoids, a class of dominant secondary metabolites that are exuded into the soil by maize and other cereals, help plants to resist negative plant-soil feedbacks. We find that three out of five tested crop species suppress maize performance relative to the mean across species. This effect is partially alleviated by the plant’s capacity to produce benzoxazinoids. Soil complementation of benzoxazinoid-deficient mutants with purified benzoxazinoids is sufficient to restore the protective effect. Sterilization and reinoculation experiments suggest that benzoxazinoid-mediated protection acts via changes in soil microbes. Substantial variation of the protective effect between experiments and soil types illustrates that the magnitude of the protective effect of benzoxazinoids against negative plant-soil feedbacks is context dependent. In summary, our study demonstrates that plant secondary metabolites can confer resistance to negative plant-soil feedbacks. These findings expand the functional repertoire of plant secondary metabolites, reveal a mechanism by which plants can resist suppressive soils, and may represent a promising avenue to stabilize plant performance in crop rotations in the future.
Discovery and Engineering of the l-Threonine Aldolase fromNeptunomonas Marinefor Efficient Synthesis of β-Hydroxy-α-Amino Acids via C–C Formation
Authors: He Yuanzhi , Li Siyuan , Wang Jun , Yang Xinrui , Zhu Jiawei , Zhang Qi , Cui Li , Tan Zaigao , Yan Wupeng , Zhang Yong , Tang Luyao , Da Lin-Tai , Feng Yan 
Published: April 2023

ABSTRACTl-Threonine aldolases (LTAs) are attractive biocatalysts for synthesizing β-hydroxy-α-amino acids (HAAs) via C–C bond formation in pharmaceuticals, although their industrial applications suffer from low activity and diastereoselectivity. Herein, we describe the discovery of a new LTA fromNeptunomonas marine(NmLTA) that displays both ideal enzymatic activity (64.8 U/mg) and diastereoselectivity (89.5% diastereomeric excess; de) for the desired productl-threo-4-methylsulfonylphenylserine (l-threo-MPTS). Using X-ray crystallography, site-directed mutagenesis, and computational modeling, we propose a “dual-conformation” mechanism for the diastereoselectivity control ofNmLTA, whereby the incoming 4-methylsulfonylbenzaldehyde (4-MTB) could potentially bind at theNmLTA active site in two distinct orientations, potentially forming two diastereoisomers (threo- orerythro-form products). Importantly, two keyNmLTA residues H140 and Y319 play critical roles in fine-tuning the binding mode of 4-MTB, supported by our site-mutagenesis assays. Uncovering of the catalytic mechanism inNmLTA guides us to further improve the diastereoselectivity of this enzyme. A triple variant ofNmLTA (N18S/Q39R/Y319L; SRL) exhibited both improved diastereoselectivity (de value > 99%) and enzymatic activity (95.7 U/mg) for the synthesis ofl-threo-MPTS compared with that of wild type. The preparative gram-scale synthesis forl-threo-MPTS with the SRL variant produced a space-time yield of up to 9.0 g L−1h−1, suggesting a potential role as a robust C–C bond synthetic tool for industrial synthesis of HAAs at a preparative scale. Finally, the SRL variant accepted a wider range of aromatic aldehyde derivatives as substrates and exhibited improved diastereoselectivity towardpara-site substituents. This work provides deep structural insights into the molecular mechanism underlying the catalysis inNmLTA and pinpoints the key structural motifs responsible for regulating the diastereoselectivity control, thereby guiding future attempts for protein engineering of various LTAs from different sources.
Do perineuronal nets stabilize the engram of a synaptic circuit?
Authors: Lev-Ram Varda , Lemieux Sakina P. , Deerinck Thomas J. , Bushong Eric A. , Toyama Brandon H. , Perez Alex , Pritchard Denise R. , Park Sung Kyu R. , McClatchy Daniel B. , Savas Jeffrey N. , Taylor Susan S. , Ellisman Mark H. , Yates John , Tsien Roger Y. 
Published: April 2023

AbstractPerineuronal nets (PNN), a specialized form of ECM (?), surround numerous neurons in the CNS and allow synaptic connectivity through holes in its structure. We hypothesis that PNNs serve as gatekeepers that guard and protect synaptic territory, and thus may stabilize an engram circuit. We present high-resolution, and 3D EM images of PNN- engulfed neurons showing that synapses occupy the PNN holes, and that invasion of other cellular components are rare. PNN constituents are long-lived and can be eroded faster in an enriched environment, while synaptic proteins have high turnover rate. Preventing PNN erosion by using pharmacological inhibition of PNN-modifying proteases or MMP9 knockout mice allowed normal fear memory acquisition but diminished remote-memory stabilization, supporting the above hypothesis.SignificanceIn this multidisciplinary work, we challenge the hypothesis that the pattern of holes in the perineuronal nets (PNN) hold the code for very-long-term memories. The scope of this work might lead us closer to the understanding of how we can vividly remember events from childhood to death bed. We postulate that the PNN holes hold the code for the engram. To test this hypothesis, we used three independent experimental strategies; high-resolution 3D electron microscopy, Stable Isotop Labeling in Mammals (SILAM) for proteins longevity, and pharmacologically and genetically interruption of memory consolidation in fear conditioning experiments. All of these experimental results did not dispute the PNN hypothesis.
Cocaine Seeking And Taking Are Oppositely Regulated By Dopamine
Authors: Burgeno Lauren M. , Farero Ryan D. , Murray Nicole L. , Panayi Marios C. , Steger Jennifer S. , Soden Marta E. , Evans Scott B. , Sandberg Stefan G. , Willuhn Ingo , Zweifel Larry S. , Phillips Paul E. M. 
Published: April 2023

AbstractIn some individuals, drug-associated cues subsume potent control of behavior, such as the elicitation of drug craving1–3and automatized drug use4. The intensity of this cue reactivity is highly predictive of relapse and other clinical outcomes in substance use disorders5, 6. It has been postulated that this cue reactivity is driven by augmentation of dopamine release over the course of chronic drug use7. Here we carried out longitudinal recording and manipulation of cue-evoked dopamine signaling across phases of substance-use related behavior in rats. We observed a subset of individuals that exhibited increased cue reactivity and escalated drug consumption, two cardinal features of substance use disorders. In these individuals, cue-evoked phasic dopamine release underwent diametrically opposed changes in amplitude, determined by the context in which the cue is presented. Dopamine evoked by non-contingent cue presentation increased over drug use, producing greater cue reactivity; whereas dopamine evoked by contingent cue presentation decreased over drug use, producing escalation of drug consumption. Therefore, despite being in opposite directions, these dopamine trajectories each promote core symptoms of substance use disorders.
Lattice-Boltzmann Modelling for Inertial Particle Microfluidics Applications — A Tutorial Review
Authors: Owen Benjamin , Kechagidis Konstantinos , Bazaz Sajad Razavi , Enjalbert Romain , Essmann Erich , Mallorie Calum , Mirghaderi Fatemehsadat , Schaaf Christian , Thota Krishnaveni , Vernekar Rohan , Zhou Qi , Warkiani Majid Ebrahimi , Stark Holger , Krüger Timm 
Published: April 2023

AbstractInertial particle microfluidics (IPMF) is an emerging technology for the manipulation and separation of microparticles and biological cells. Since the flow physics of IPMF is complex and experimental studies are often time-consuming or costly, computer simulations can offer complementary insights. In this tutorial review, we provide a guide for researchers who are exploring the potential of the lattice-Boltzmann (LB) method for simulating IPMF applications. We first review the existing literature to establish the state of the art of LB-based IPMF modelling. After summarising the physics of IPMF, we then present related methods used in LB models for IPMF and show several case studies of LB simulations for a range of IPMF scenarios. Finally, we conclude with an outlook and several proposed research directions.
Intellectual capital and firm performance: the moderating effect of auditor characteristics
Authors: Rahman Md. Jahidur , Liu Hongyi 
Published: April 2023

PurposeThis study aims to examine the impact of intellectual capital (IC) and its three components (human, structural and relational capital) on corporation performance in the Chinese transportation industry. In addition, this study also investigates auditor characteristics (both Big-N and non-Big-N auditors) as a moderating role to examine the relationship between IC and corporate performance.Design/methodology/approachThe data include 398 firm-year observations of transportation companies listed on the Shanghai and Shenzhen Stock Exchange from 2011 to 2020. Value-added intellectual coefficient (VAIC) model and its modified version (MVAIC) are applied to measure IC efficiency. Finally, the fixed effects regression analysis is used to mitigate the endogeneity issue. To investigate the moderating effect of auditor characteristics, the authors divide the samples based on the clients audited by Big-4 and non-Big-4 firms.FindingsThis study reveals that IC can enhance firm performance in China’s transportation sector. Overall, findings indicate that on the whole, IC has a positive and significant impact on corporation profitability and productivity. Human capital and physical and financial assets (capital employed) play highly important roles, but structural capital has no significant impact. The authors also found that auditor characteristics play an important moderating role in the connection between IC and corporate performance. For example, the positive association between IC and corporate performance is more pronounced when Big-4 auditors audit client firms. At the same time, the authors found a negative relationship between IC and firm performance when non-Big-4 auditors audit client firms.Practical implicationsManagers must understand that several components of IC have a total effect on corporate financial performance. Therefore, managers can dedicate more resources to such components based on the performance outcomes to emphasize their business strategies.Originality/valueThis study is the first empirical analysis of the impact of IC and its components on corporation performance in the transportation sector in China, an emerging market. Previous studies mainly focus on developed countries’ high technology and financial industries sectors but the impact of IC in transportation industry largely remains unknown. Thus, the present findings contribute to IC literature by revealing several underlying mechanisms by which the components of IC help achieve good firm performance.
Impact of risk-taking tendency and transformational leadership style on the use of management accounting system information: a direct-mediation model
Authors: Abu Afifa Malik , Nguyen Nha Minh 
Published: April 2023

PurposeThis research aims to determine the impact of the CEO's risk-taking tendencies and the transformational leadership style on the use of the management accounting system information, as well as the mediating impact of product creativeness and organizational citizenship behavior in this context. It also provides empirical evidence from Vietnamese enterprises.Design/methodology/approachThe current research was conducted using quantitative methods. It was conducted during the ongoing Covid-19 pandemic in Vietnam. The study population is represented by all of the Vietnamese enterprises listed on stock exchanges. Therefore, an online email questionnaire was used for data collection. Specifically, 670 emails were sent to CEOs and 146 complete responses were collected (21.79% rate).FindingsBy using the partial least squares structural equation modeling (PLS-SEM), the study results show that the CEO's risk-taking tendencies and transformational leadership style have a significant positive effect on the use of the management accounting system information. Additionally, product creativeness mediates the relationship between the CEO's risk-taking tendency, and the use of the management accounting system information. Also, organizational citizenship behavior mediates the relationship between transformational leadership style and the use of the management accounting system information.Research limitations/implicationsDespite attempts to overcome by GDP contribution ratio, convenience sampling tends to cause common method bias. Furthermore, small sample sizes can lead to heterogeneity and unstable estimates of the parameter. Causality issues may also arise because the model has no control variables. Therefore, later studies should take the necessary additional steps when sampling to stay consistent with the study population, possibly conducting surveys in several batches to determine the correlation between changes in variables, and allowing the ability to discover and add any necessary control variables.Originality/valueThis research acts as a bridge between management and management accounting, confirming the importance of this combination when efficiently using the management accounting system.