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Wang, Y.-S.

Publications and source records attributed to Wang, Y.-S..

12 recordsLinked to original sources

An On-Demand Nanodisc Platform for Reconstitution of Functional Membrane Proteins into Model and Living Membranes

Membrane proteins are central to transport, signaling, and pharmacological regulation, yet their direct functional reconstitution into defined membrane environments remains technically challenging. Detergent-based workflows have enabled major advances in membrane protein research, but some applications require complementary strategies that better preserve native-like lipid environments. Cell-based expression approaches, meanwhile, require long incubation times and suffer from cell-type-dependent variability. Here, we establish nanodiscs as modular carriers for the rapid delivery of both lipids and full-length membrane proteins into model and cellular membranes. Using supported lipid bilayers, we first show that membrane scaffold protein (MSP) nanodiscs mediate efficient lipid transfer within minutes, with fluorescence recovery after photobleaching confirming lateral mobility of the delivered lipids. We then extend this strategy to the bacterial calcium channel BsYetJ, achieving concentration-dependent protein incorporation and single-molecule diffusion within supported lipid bilayers. Importantly, BsYetJ-loaded nanodiscs enable direct reconstitution of functional channels into intact mammalian plasma membranes across multiple cell lines. Calcium imaging demonstrates robust BsYetJ-mediated calcium influx, confirming that the delivered channel retains ion-conductive activity after transfer into heterologous cellular membranes. Crucially, this nanodisc-mediated delivery bypasses the variable trafficking pathways inherent to different host systems, allowing for the direct reconstitution of membrane proteins into target membranes while preserving their functional activity. Furthermore, unlike MSP nanodiscs, styrene-maleic acid (SMA) nanodiscs can directly capture membrane proteins from native cell membranes. This capability makes them particularly well-suited for studying complex and challenging membrane proteins. Therefore, we further generalize this platform using SMA nanodiscs . We demonstrate that, similar to MSP nanodiscs, SMA nanodiscs can efficiently deliver lipid cargo to supported bilayers and mammalian cells. By directly capturing full-length dopamine D2 receptor from cellular membranes and transferring it into naive target cells, we achieve functional GPCR reconstitution, as validated by specific binding of a custom fluorescent agonist. Together, these results demonstrate that nanodiscs can serve not only as stabilizing membrane mimetics but also as active delivery vehicles for on-demand membrane protein reconstitution. This approach provides a rapid and broadly applicable platform for interrogating ion channels, GPCRs, and other challenging pharmacological targets in user-defined membrane environments.

biochemistry↗

Substrate biasing in UCHL5 proteoforms

Proteolytic deubiquitinating enzymes bridge a gap in substrate recognition through complex regulatory mechanisms. A growing portion of these are accomplished through proteoforms that uniquely control association and diverse sets of cleavage capabilities that relay distinct physiological outcomes. This study describes substrate biasing governed by UCHL5 proteoforms. It demonstrates that N-terminal ubiquitination activates the enzyme towards monoubiquitin substrates, a feature that is conserved across UCHL5 homologs. Crystallographic and spectroscopic data suggest that the N-terminal ubiquitin binds intramolecularly in an allosteric binding site and inhibits branched chain substrate cleavage. Association with Rpn13/Adrm1 relieves this inhibition and reestablishes its ability to debranch, potentially controlling nonspecific debranching compared to retention of needed activity on the 26S proteasome. Collectively, this study describes the molecular basis for substrate selectivity in a deubiquitinating enzyme, an unexplored area in the enzymes that counteract ubiquitin E3 ligases.

biochemistry↗

Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia

We explore neurodevelopmental heterogeneity in Autism Spectrum Disorder (ASD) through normative modeling of cross-cultural cohorts. By leveraging large-scale datasets from Autism Brain Imaging Data Exchange (ABIDE) and China Autism Brain Imaging Consortium (CABIC), our model identifies two ASD subgroups with distinct brain morphological abnormalities: subgroup "L" is characterized by generally smaller brain region volumes and higher rates of abnormality, while subgroup "H" exhibits larger volumes with less pronounced deviations in specific areas. Key areas, such as the isthmus cingulate and transverse temporal gyrus, were identified as critical for subgroup differentiation and ASD trait correlations. In subgroup H, the regional volume of the isthmus cingulate cortex showed a direct correlation with individuals autistic mannerisms, potentially corresponding to its slower post-peak volumetric declines during development. These findings offer insights into the biological mechanisms underlying ASD and support the advancement of subgroup-driven precision clinical practices.

neuroscience↗

Structural basis of K11/K48-branched ubiquitin chain recognition by the human 26S proteasome

Beyond the canonical K48-linked homotypic polyubiquitination for proteasome-targeted proteolysis, K11/K48-branched ubiquitin (Ub) chains are involved in fast-tracking protein turnover during cell cycle progression and proteotoxic stress. Here, we report cryo-EM structures of human 26S proteasome in a complex with a K11/K48-branched Ub chain. The structures revealed a multivalent substrate recognition mechanism involving a hitherto unknown K11-linked Ub binding site at the groove formed by RPN2 and RPN10 in addition to the canonical K48-linkage binding site formed by RPN10 and RPT4/5 coiled-coil. Additionally, RPN2 recognizes an alternating K11-K48 linkage through a conserved motif similar to the K48-specific T1 binding site of RPN1. The insights gleaned from these structures explain the molecular mechanism underlying the recognition of the K11/K48 branched Ub as a priority signal in the ubiquitin-mediated proteasomal degradation.

biochemistry↗

Social anxiety links of amygdala switch cross puberty

Socioemotional functions have been linked to the amygdala through molecular mechanisms observed in animals. However, these links remain largely unestablished in the development of the human amygdala during puberty. By precisely tracing the amygdala with longitudinal data spanning childhood and adolescence, our aim is to capture the dynamic relationship between social anxiety and amygdala geometry. Around the onset of puberty (10-11.5 years), we detected shifting associations between amygdala volume and social anxiety. Higher social anxiety is associated with a larger amygdala in mid-childhood but a smaller amygdala in early adolescence. Further geometry analysis revealed regional deformations that underpinned the shift. Our findings reconcile inconsistent results from previous studies and respect the intrinsic dimension of development in resolving amygdala-anxiety links during puberty.

neuroscience↗

MOS4-Associated Complex subunits 3A and 3B modulate FLM splicing to repress photoperiod-dependent floral transition

Plants adjust their flowering time by integrating environmental cues through complex regulatory networks. RNA splicing plays a crucial role in modulating gene expression in response to flowering signals. The MOS4-associated complex (MAC), consisting of the evolutionarily conserved E3 ubiquitin ligases MAC3A and MAC3B, is pivotal in splicing regulation. However, their involvement in floral transition remained unclear. This study observed that mac3a/mac3b mutants flowered significantly earlier under short-day (SD) conditions, a phenotype absent under long-day (LD) conditions. This early flowering correlated with upregulation of FLOWERING LOCUS T (FT) and SUPPRESSOR OF OVEREXPRESSION OF CO 1 (SOC1) compared to wild-type plants. Transcriptomic analysis revealed alterations in transcript levels and splicing profiles of key floral regulators across different flowering pathways. Further investigation identified the thermosensory flowering regulator FLOWERING LOCUS M (FLM) as being influenced by MAC3A and MAC3B. Subsequently, we found that MAC3A and MAC3B exhibited higher expression and were associated with FLM transcripts to modulate their splicing in SD. This study elucidates how the MAC complex, through RNA splicing regulation, integrates environmental signals to modulate flowering, unveiling a new layer of complexity in flowering pathways crosstalk under non-inductive photoperiods.

plant biology↗

A resource for probing influences of perinatal factors on neurodevelopment in 3-10-years-old Chinese children

Adverse perinatal factors can disrupt the normal development of the brain, with potential long-term impacts on childrens overall development. Currently, the neuropathological mechanisms by which these factors lead to various neurodevelopmental disorders (NDDs) remain largely unknown. An open resource that integrate perinatal factors with brain and mental health development is essential for investigating NDD-related aetiology. In this Data Descriptor, we introduce a multicentre database containing information on perinatal factors that influence childrens brain-mind development, namely, periCBD, that combines neuroimaging and behavioural phenotypes with perinatal factors associated with a high incidence of NDDs at county/region/central district hospitals. PeriCBD was designed to establish a platform for the investigation of individual differences in brain-mind development among children aged 3-10 years are associated with perinatal factors. Ultimately, our goal was to develop an early prediction and screening model for NDDs that leverages normative data to facilitate NDD aetiology research. Herein, we provide a systematic overview of the data acquisition/cleaning/quality control/sharing, processes of periCBD and present preliminary brain-mind associations.

neuroscience↗

A longitudinal resource for population neuroscience of school-age children and adolescents in China

During the past decade, cognitive neuroscience has been calling for population diversity to address the challenge of validity and generalizability, ushering in a new era of population neuroscience. The developing Chinese Color Nest Project (devCCNP, 2013-2022), a ten-year pilot stage of the lifespan CCNP (2013-2032), is an ongoing project focusing on brain-mind development. The project aims to create and share a large-scale, longitudinal and multimodal dataset of typically developing children and adolescents (ages 6.0-17.9 at enrolment) in the Chinese population. The devCCNP houses not only phenotypes measured by demographic, biophysical, psychological and behavioural, cognitive, affective, and ocular-tracking assessments but also neurotypes measured with magnetic resonance imaging (MRI) of brain morphometry, resting-state function, naturalistic viewing function and diffusion structure. This Data Descriptor introduces the first data release of devCCNP including a total of 864 visits from 479 participants. Herein, we provided details of the experimental design, sampling strategies, and technical validation of the devCCNP resource. We demonstrate and discuss the potential of a multicohort longitudinal design to depict normative brain growth curves from the perspective of developmental population neuroscience. The devCCNP resource is shared as part of the "Chinese Data-sharing Warehouse for In-vivo Imaging Brain" in the Chinese Color Nest Project (CCNP) - Lifespan Brain-Mind Development Data Community (https://www.scidb.cn/en/c/ccnp) at the Science Data Bank. Design TypesO_LIAccelerated longitudinal design C_LIO_LIBrain-mind development C_LIO_LIPopulation imaging C_LIO_LIBrain chart C_LIO_LIRepeated measure C_LI MeasurementsO_LIPsychological behaviours C_LIO_LIBiophysical and physical measures C_LIO_LIIntelligence quotient measure C_LIO_LINeuroimaging C_LI Sample Characteristic - OrganismO_LIHomo sapiens C_LI Sample Characteristic - EnvironmentO_LISchool- and community-based sample C_LI Sample Characteristic - LocationO_LIChongqing and Beijing, China C_LI DurationO_LI10 years (2013-2022) C_LI

neuroscience↗

MPK12 in stomatal CO2 signaling: function beyond its kinase activity

O_LIProtein phosphorylation by kinases is a major molecular switch mechanism involved in the regulation of stomatal opening and closure. Previous research defined interaction between MAP kinase 12 and Raf-like kinase HT1 as a required step for stomatal movements by changes in CO2 concentration. However, whether MPK12 kinase activity is required for regulation of CO2-induced stomatal responses warrants in depth investigation. C_LIO_LIWe apply genetic, biochemical, and structural modeling approaches to examining the non-catalytic role of MPK12 in guard cell CO2 signaling that relies on allosteric inhibition of HT1. C_LIO_LIWe show that CO2/HCO3--enhanced MPK12 interaction with HT1 is independent of its phosphor-transfer activity. By analyzing gas exchange of plant lines expressing various kinase-dead and constitutively active versions of MPK12 in a plant line where MPK12 is deleted, we confirmed that CO2-dependent stomatal responses rely on MPK12s ability to bind to HT1 but not its kinase activity. We also demonstrate that purified MPK12 and HT1 proteins form a heterodimer in the presence of CO2/HCO3- and present structural modeling that explains the MPK12:HT1 interaction interface. C_LIO_LIThese data add to the model that MPK12 kinase-activity-independent interaction with HT1 functions as a molecular switch by which stomatal guard cells sense changes in atmospheric CO2 concentration. C_LI

plant biology↗

Elevated HLA-E and NKG2A as a consequence of chronic immune activation defines resistance to M. bovis BCG immunotherapy in Non-Muscle-Invasive Bladder Cancer

Mycobacterium bovis Bacillus Calmette-Guerin (BCG), the first-line treatment for non-muscle invasive bladder cancer (NMIBC), promotes the production of inflammatory cytokines, particularly interferon (IFN)-{gamma}. Prolonged inflammation and IFN-{gamma} exposure are known to cause an adaptive immune response, enabling immune escape and proliferation by tumor cells. We investigated HLA-E and NKG2A, a novel T and NK cell checkpoint pathway, as a driver of adaptive resistance in BCG unresponsive NMIBC. We observed ubiquitous inflammation in all patients after BCG immunotherapy, regardless of recurrence status. IFN-{gamma} was shown to drive tumor expression of HLA-E and PD-L1. Further, NKG2A-expressing NK and CD8 T cells were enriched in BCG unresponsive tumors and with enhanced capacity for cytolytic functions. Strikingly, in situ spatial analyses revealed that HLA-EHIGH tumors are activated to recruit NK and T cells via chemokine production, potentially sparing HLA-ELOW tumors that would otherwise be susceptible to lysis. Finally, blood-derived NK cells retained anti-tumor functions at the time of tumor recurrence. These data support combined NKG2A and PD-L1 blockade for BCG unresponsive disease.

immunology↗

Structure-activity relationships of B.1.617 and other SARS-CoV-2 spike variants

The surge of COVID-19 infection cases is spurred by emerging SARS-CoV-2 variants such as B.1.617. Here we report 38 cryo-EM structures, corresponding to the spike protein of the Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2) and Kappa (B.1.617.1) variants in different functional states with and without its receptor, ACE2. Mutations on the N-terminal domain not only alter the conformation of the highly antigenic supersite of the Delta variant, but also remodel the glycan shield by deleting or adding N-glycans of the Delta and Gamma variants, respectively. Substantially enhanced ACE2 binding was observed for all variants, whose mutations on the receptor binding domain modulate the electrostatics of the binding interfaces. Despite their abilities to escape host immunity, all variants can be potently neutralized by three unique antibodies.

biophysics↗

FMRI multi-scale cortical spontaneous activity: 7T vs. 3T

This paper describes the use of the Human Connectome Project (HCP) data for mapping the distribution of spontaneous activity in the human brain across different spatial scales, magnets and individuals. Specifically, the resting-state functional MRI signals acquired under the HCP 3 tesla (T) and 7T magnet protocols were measured by computational methods at multiple spatial scales across the cerebral cortex using: 1) an amplitude metric on a single measuring unit (ALFF), 2) a functional homogeneity metric on a set of neighboring measuring units (ReHo) and 3) a homotopic functional connectivity metric on pairs of symmetric measuring units between the two hemispheres (VMHC). Statistical assessments on these measurements revealed that all the raw metrics were enhanced by the higher magnetic field, highlighting their dependence on magnet field strength. Measurement reliability of these global measurements were moderate to high and comparable between between 3T and 7T magnets. The differences in these measurements introduced by the higher magnetic field were spatially dependent and varied according to specific cortical regions. Specifically, the spatial contrasts of ALFF were enhanced by the 7T magnet within the anterior cortex while weakened in the posterior cortex. This is opposite for ReHo and VMHC. This scale-dependent phenomena also held true for measurement reliabilities, which were enhanced by the 7T magnet for ReHo and VMHC and weakened for ALFF. These reliability differences were primarily located in high-order associate cortex, reflecting the corresponding changes of individual differences: higher between-subject variability and lower within-subject variability for ReHo and VMHC, lower between-subject variability and higher within-subject variability for ReHo and VMHC with respect to higher magnetic field strength. Our work, for the first time, demonstrates the spatial-scale dependence of spontaneous cortical activity measurements in the human brain and their test-retest reliability across different magnet strengths, and discussed about the statistical implications for experimental design using resting-state fMRI.

neuroscience↗