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Yang, W.

Publications and source records attributed to Yang, W..

At least 109 records · Page 6Linked to original sources

Non-Visual Light Sensing Enhances Behavioral Memory and Drives Gene Expression in C. elegans

Visible light influences a range of physiological processes, yet how animals respond to it independently of the visual system remains largely unknown. Here, we uncover a previously undescribed light-induced transcriptional pathway that modulates behavioral plasticity in C. elegans, a roundworm without eyes. We demonstrate that ambient visible light or controlled-intensity visible-spectrum LED activates an effector gene cyp-14A5 in non-neuronal tissues through the bZIP transcription factors ZIP-2 and CEBP-2. Light induction of cyp-14A5 is more prominent at shorter wavelengths but is independent of the known blue light receptors LITE-1 and GUR-3 in C. elegans. This bZIP-dependent genetic pathway in non-neuronal tissues enhances behavioral adaptability and olfactory memory, suggesting a body-brain communication axis. Furthermore, we use the light-responsive cyp-14A5 promoter to drive ectopic gene expression, causing synthetic light-induced sleep and rapid aging phenotypes in C. elegans. These findings advance our understanding of light-responsive mechanisms outside the visual system and offer a new genetic tool for visible light-inducible gene expression in non-neuronal tissues.

physiology↗

Avoidance of fratricide and improved efficacy of CD33-MSLN CAR-iNK cells in treating acute myeloid leukemia

Acute myeloid leukemia (AML) patients are often older, which brings challenges of endurance and persistent efficacy of autologous CAR-T cell therapies. Allogenic CAR-NK cell therapies may offer reduced toxicities and enhanced anti-leukemic potential against AML. In this study, we designed a novel CD33-mesothelin loop CAR (Loop CAR) and evaluated its anti-tumor efficacy in human umbilical cord blood-derived NK (UCB-NK) cells and human pluripotent stem cell-derived NK (hPSC-iNK) cells. The Loop CAR exhibited superior cytotoxicity against dual-antigen-positive tumor cell lines and primary AML cells. To further avoid fratricide caused by endogenous CD33 expression in NK cells, we established a hPSC-derived cell line via knockout of CD33 gene (CD33KO) and engineered Loop CAR. Rather than enforced expression of exogenous CD16, we generated abundant mature CD33KO-Loop CAR-iNK cells highly expressing endogenous CD16 via an organoid induction approach. This innovative strategy effectively mitigated NK cell fratricide and significantly enhanced CD33 and mesothelin-mediated specific cytotoxicity. Moreover, the CD33KO-Loop CAR-iNK cells demonstrated superior tumor-killing activity in AML xenograft mice and significantly prolonged survival. hPSC-derived CD33KO-Loop CAR-iNK cells possess unique advantages and translational potential for treating AML.

cancer biology↗

Detection of Diffuse to Focal Myocardial Fibrosis by Cardiovascular Magnetic Resonance Against Histology in Mini-Swine

BackgroundMyocardial fibrosis predicts adverse outcomes in myocardial infarction (MI) and other cardiovascular conditions. Cardiovascular magnetic resonance (CMR) can non-invasively detect focal and diffuse myocardial fibrosis, but comprehensive validation against histology remains scarce. AimsTo assess the comparative diagnostic performance of CMR methods in detecting myocardial fibrosis, using a mini-swine model and histology as gold standard. MethodsEighteen mini-swine (16 MI; 2 healthy) underwent CMR cine, LGE, T1- and ECV-mapping. Two commonly-used T1-mapping methods - MOLLI 5(3)3 and ShMOLLI 5(1)1(1)1 - were included. Pathological sections were categorized as infarcted, peri-infarct, remote and healthy myocardium based on triphenyl tetrazolium chloride staining. Fibrotic burden was quantified by collagen volume fraction (CVF) into severe (CVF[&ge;]30%), moderate (CVF=10-25%), and mild (CVF=3-14%). The relationships between LGE, T1, ECV and CVF, and diagnostic performance using area-under-the-curve (AUC), were analyzed. ResultsFor detecting severe fibrosis, LGE, T1 and ECV all had excellent diagnostic performance (AUC: LGE=0.93, ECVShMOLLI=0.96, T1ShMOLLI=0.91, T1MOLLI=0.93, ECVMOLLI=0.88). ECVShMOLLI showed significantly better discriminatory accuracy than ECVMOLLI in detecting severe fibrosis and MI (both p<0.05), with the highest correlation to CVF (ECVShMOLLI r=0.86, ECVMOLLI r=0.82, T1ShMOLLI r=0.77, T1MOLLI r=0.77, semi-quantitative LGE r=0.75). Only T1ShMOLLI and ECVShMOLLI, but not LGE or T1MOLLI/ECVMOLLI, differentiated remote myocardium with mild fibrosis (CVF=8.23%) from healthy myocardium (CVF=2.01%). ConclusionsCMR can detect severe to mild myocardial fibrosis as validated against histology. For low-grade fibrosis, T1-mapping significantly outperformed LGE. Choice of CMR methodologies matters for myocardial fibrosis detection, which has importance for clinical trial design.

pathology↗

Evidence for evolution of a new sex chromosome within the Marchantiales haploid plant lineage

Sex chromosomes have evolved independently in numerous lineages across the tree of life, in both diploid-dominant species, including many animals and plants, and the less studied haploid-dominant plants and algae. Strict genetic sex determination ensures that individuals reproduce by outcrossing. However, species with separate sexes (termed dioecy in diploid plants, and dioicy in haploid plants) may sometimes evolve different sex systems, and become monoicous, with the ability to self-fertilize. Here, we study dioicy-monoicy transitions in the ancient liverwort haploid plant lineage, using three telomere-to-telomere gapless chromosome-scale reference genome assemblies from the Ricciaceae group of Marchantiales. Ancestral liverworts are believed to have been dioicous, with U and V chromosomes (chromosome 9) determining femaleness and maleness, respectively. We confirm the finding that monoicy in Ricciocarpos natans evolved from a dioicous ancestor, and most ancestrally U chromosomal genes have been retained on autosomes in this species. We also describe evidence suggesting the possible re-evolution of dioicy in the genus Riccia, with probable de novo establishment of a sex chromosome from an autosome (chromosome 5), and further translocations of genes from the new sex chromosome to autosomes. Our results also indicated that m-chromosomes are consistent genomic features, and may have evolved independently from sex chromosomes in Ricciocarpos and Riccia lineages.

evolutionary biology↗

Infectome analysis of bat kidneys from Yunnan province, China, reveals close relatives of Hendra-Nipah viruses and prevalent bacterial and eukaryotic pathogens

Bats are natural reservoirs for a wide range of microorganisms, including many notable zoonotic pathogens. However, the infectome of bat kidneys remains poorly understood. To address this gap, we performed meta-transcriptomic sequencing on kidney tissues from 142 bats, spanning ten species sampled at five locations in Yunnan province, China. This analysis identified 22 viral species, including 20 novel viruses, two of which represented newly discovered henipaviruses closely related to the highly pathogenic Hendra and Nipah viruses. These henipaviruses were found in the kidneys of bats inhabiting an orchard near villages, raising concerns about potential fruit contamination via bat urine and transmission risks to livestock or humans. Additionally, we identified a novel protozoan parasite, tentatively named Klossiella yunnanensis, along with two highly abundant bacterial species, one of which is a newly discovered species--Flavobacterium yunnanensis. These findings broaden our understanding of the bat kidney infectome, underscore critical zoonotic threats, and highlight the need for comprehensive, full-spectrum microbial analyses of previously understudied organs to better assess spillover risks from bat populations.

microbiology↗

A fetal oncogene NUAK2 is an emerging therapeutic target in glioblastoma.

Glioblastoma Multiforme (GBM) is the most prevalent and highly malignant form of adult brain cancer characterized by poor overall survival rates. Effective therapeutic modalities remain limited, necessitating the search for novel treatments. Neurodevelopmental pathways have been implicated in glioma formation, with key neurodevelopmental regulators being re- expressed or co-opted during glioma tumorigenesis. Here we identified a serine/threonine kinase, NUAK family kinase 2 (NUAK2), as a fetal oncogene in mouse and human brains. We found robust expression of NUAK2 in the embryonic brain that decreases throughout postnatal stages and then is re-expressed in malignant gliomas. However, the role of NUAK2 in GBM tumorigenesis remains unclear. We demonstrate that CRIPSR-Cas9 mediated NUAK2 deletion in GBM cells results in suppression of proliferation, while overexpression leads to enhanced cell growth in both in vitro and in vivo models. Further investigation of the downstream biological processes dysregulated in the absence of NUAK2 reveals that NUAK2 modulates extracellular matrix (ECM) components to facilitate migratory behavior. Lastly, we determined that pharmaceutical inhibition of NUAK2 is sufficient to impede the proliferation and migration of malignant glioma cells. Our results suggest that NUAK2 is an actionable therapeutic target for GBM treatment.

cell biology↗

ZapA employs a two-pronged mechanism to facilitate Z ring formation in Escherichia coli

The tubulin-like protein FtsZ assembles into the Z ring which leads to the assembly and activation of the division machinery in most bacteria. ZapA, a widely conserved protein that interacts with FtsZ, plays a pivotal role in organizing FtsZ filaments into a coherent Z ring. Previous studies revealed that ZapA forms a dumbbell-like tetramer that binds cooperatively to FtsZ filaments and aligns them in parallel, leading to the straightening and organization of FtsZ filament bundles. However, how ZapA interacts with FtsZ remains obscure. In this study, we uncover how ZapA interacts with FtsZ to facilitate Z ring formation in Escherichia coli. We find that mutations affecting surface exposed residues at the junction between adjacent FtsZ subunits in a filament as well as in an N-terminal motif of FtsZ weaken its interaction with ZapA in vivo and in vitro, indicating that ZapA binds to these regions of FtsZ. Consistent with this, ZapA prefers FtsZ polymers over monomeric FtsZ molecules and site-specific crosslinking confirmed that the dimer head domain of ZapA is in contact with the junction of FtsZ subunits. As a result, disruption of the putative interaction interfaces between FtsZ and ZapA abolishes the midcell localization of ZapA. Taken together, our results suggest that ZapA tetramers grab the N-terminal tails of FtsZ and then bind to the junctions between FtsZ subunits in the filament to straighten and crosslink parallel FtsZ filaments into the Z ring. SignificanceZapA is a widely conserved FtsZ-associated protein that promotes the organization of the Z ring, the key cytoskeletal element in the bacterial divisome. Although ZapA is known to crosslink FtsZ filaments, how it interacts with FtsZ remains enigmatic. In this study, we find that E. coli ZapA utilizes a dual binding mode in which it binds the junction between FtsZ subunits in a filament and to an N-terminal motif in FtsZ so that it can straighten and crosslink parallel FtsZ filaments simultaneously. Since the junction is formed when FtsZ polymerizes and falls apart when FtsZ depolymerizes, this interaction mode indicates that ZapA employs the polymerization dynamics of FtsZ to organize the filaments into the Z ring.

microbiology↗

Scoring Information Integration with Statistical Quality Control Enhanced Cross-Run Analysis of Data-Independent Acquisition Proteomics Data

The peptide-centric strategy is widely applied in data-independent acquisition (DIA) proteomics to analyze multiplexed MS2 spectra. However, current software tools often rely on single-run data for peptide peak identification, leading to inconsistent quantification across heterogeneous datasets. Match-between-runs (MBR) algorithms address this by aligning peaks or elution profiles across runs post-analysis but they are often ad-hoc and lack statistical frameworks for controlling peak quality, resulting in false positives and reduced quantitative reproducibility. Here we present DreamDIAlignR, a cross-run peptide-centric tool that integrates peptide elution behavior across runs with a deep learning peak identifier and signal alignment algorithm for consistent peak picking and FDR-controlled scoring. DreamDIAlignR outperformed state-of-the-art MBR methods, identifying up to 25.6% more quantitatively changing proteins on a benchmark dataset and 38.5% more on a cancer dataset. Additionally, DreamDIAlignR establishes an improved methodology for performing MBR compatible with existing DIA analysis tools, thereby enhancing the overall quality of DIA analysis.

bioinformatics↗

Time-resolved fluorescent proteins towards fluorescence microscopy in the temporal and spectral domains

Fluorescence microscopy has been widely applied in life sciences. While steady-state fluorescence intensity is mostly used, the time-resolved detection mode relying on fluorescence lifetime remains underexplored. Herein, we present a family of time-resolved fluorescent proteins (TRFP). Using a strategy that regulates lifetime without affecting spectra of FPs, we have developed different TRFPs that cover the visible spectrum and a wide range of lifetime. TRFPs are employed in the temporal-spectral resolved microscopy, allowing the simultaneous imaging of 9 different proteins in live cells and correlation of multiple activities to cell cycles. Finally, TRFPs are integrated into multiplexing super-resolution microscopy to concurrently visualize 4 proteins in live cells, acquiring a remarkable 50 nm spatial resolution using lifetime as signal. TRFPs represent a transformative toolset towards fluorescence microscopy in both the temporal and spectral domains. Beyond the multiplexing imaging, TRFPs could introduce unprecedented opportunities of system complexity and quantitative accuracy into biological research.

biochemistry↗

Revealing long-range heterogeneous organization of nucleoproteins with N6-methyladenine footprinting

A major challenge in epigenetics is uncovering the dynamic distribution of nucleosomes and other DNA-binding proteins, which plays a crucial role in regulating cellular functions. Established approaches such as ATAC-seq, ChIP-seq, and CUT&RUN provide valuable insights but are limited by the ensemble nature of their data, masking the cellular and molecular heterogeneity that is often functionally significant. Recently, long-read sequencing technologies, particularly Single Molecule, Real-Time (SMRT/PacBio) sequencing, have introduced transformative capabilities, such as N6-methyladenine (6mA) footprinting. This technique enables the detection of joint binding events and long-range chromatin organization on individual DNA molecules spanning multiple kilobases. Despite the potential of 6mA footprinting, existing analytical tools for 6mA detection in SMRT sequencing data suffer from significant limitations in both performance and applicability, especially with the latest sequencing platform. To address these gaps, we developed a novel 6mA-calling pipeline based on polymerase kinetics analysis. Our approach significantly outperforms current tools in terms of accuracy and computational efficiency, setting a new benchmark for 6mA detection. Utilizing our optimized experimental and computational framework, we extensively mapped nucleosome positioning and transcription factor occupancy at the single-molecule level, revealing critical features of the transcription-associated epigenetic landscape. Additionally, our work established high-resolution, long-range binding events in mitochondrial DNA, revealing simultaneous loading of two sets of replication machinery onto the displacement loop (D-loop). Our study highlights the potential of 6mA footprinting in capturing the coordinate binding of nucleoproteins and unraveling heterogeneous epigenetic states with unprecedented resolution.

bioinformatics↗

The discovery of 5mC-selective deaminases and their application to ultra-sensitive direct sequencing of methylated sites at base resolution.

Mining phages for new enzymatic activities continues to be important for the development of new tools for biotechnology. In this study, we used MetaGPA--a method linking genotype to phenotype in metagenomic data--to identify deoxycytidine deaminases, a protein family highly associated with cytosine modifications in metaviromes. Unexpectedly, a subset of these deaminases exhibited a preference for 5-methylcytosine (5mC) over cytosine (C) in both mononucleotide and single-stranded DNA substrates. In a methylome sequencing workflow, preferential deamination of 5mC by these enzymes enabled direct conversion of methylated cytosine while completely eliminating any background deamination of unmodified cytosine. This direct conversion allows for precise identification of methylated sites at single-base resolution with unmatched sensitivity enabling broad applications for the simultaneous sequencing of genome and methylome.

genomics↗

SS-31 protects against bleomycin-induced lung injury and fibrosis

ObjectiveThe aim of this research was to investigate if the mitochondria-targeting peptide SS-31 could serve as a protective measure against bleomycin-induced pulmonary fibrosis in mice. MethodMice were split into four groups named CON group, SS-31 group, BLM group, and the BLM+ SS-31 group. SS-31 was administered daily from the day prior to the experiment for the control and model groups. Mice were euthanized after 28 days of the experiment, following which blood, bronchoalveolar lavage fluid, and lung tissue were collected for analysis. ResultsThe study demonstrated that SS-31 could potentially mitigate the reduction in mice. It was observed through HE and Masson staining, immunohistochemistry, hydroxyproline detection, and fibrosis index measurement via Western blot that SS-31 could alleviate pulmonary fibrosis caused by BLM. Electron microscopy and ATP detection further suggested that SS-31 might help protect mitochondrial structure and function. It was also found that SS-31 could reduce reactive oxygen species and myeloperoxidase, thereby alleviating the reduction of antioxidant factor MPO and SOD, as well as diminishing the inflammatory factors TNF-, IL-1 {beta}, and IL-6. ConclusionThe mitochondria-targeting drug SS-31 exhibited potential in mitigating bleomycin-induced pulmonary fibrosis, improving mitochondrial structural and functional damage, stabilizing the balance between oxidative and antioxidant systems, reducing inflammatory factor expression, and improving apoptosis in lung tissue.

pharmacology and toxicology↗

VIACOT: a web server for interactive visualization and comparison of cell lineage trees

The cell lineage tree (CLT) records some or all cell division events during the development of multicellular organisms, as well as the functional characteristics of terminal cells, and is therefore commonly considered one of the most fundamental types of biological data. The combining of single-cell RNA sequencing with DNA barcoding has recently led to the rapid accumulation of CLT datasets. Unlike biological sequence data, web-based analysis and visualization tools for CLT data are currently lacking. In order to facilitate studies surrounding CLT, we built a webserver named VIACOT (Visualize Interactively And COmpare Trees). VIACOT is not only a comprehensive repository of published CLT datasets, but also a web tool that enables three preliminary analyses of preprocessed CLT datasets, including. (i) interactive visualization of CLT allowing fine-grain or coarse-grain exploration. (ii) calculations of correlations among single-cell metrics, such as gene expression levels, either using the original metrics or their phylogenetic independent contrasts. (iii) comparison among different CLTs to identify differences in cell fate. We anticipate that VIACOT will be a useful tool for exploration and biological interpretation of CLTs.

bioinformatics↗

Limited involvement of Ca2+/calmodulin-dependent kinase II alpha and beta in mammalian sleep

While sleep is important, our understanding of its molecular mechanisms is limited. Over the last two decades, protein kinases have been implicated in sleep regulation, with a prominent role for Ca++/calmodulin-dependent kinase II (CaMKII) {beta}. Of all the known mouse genetic mutants, the biggest changes in sleep was reported to be observed in Camk2b gene knockout mice: sleep was reduced by approximately 120 minutes (mins) over 24 hours (hrs). We have reexamined the sleep phenotype in Camk2a and Camk2b knockout mice, and while we have observed sleep reduction in Camk2a knockout mice, we did not find sleep reduction in Camk2b mutants.We did find both Camk2a and Camk2b participated in homeostatic sleep rebound, though. Because CamKII and {beta} are widely known to be crucial kinases with interesting properties, it is worthwhile to keep our results in record for a general service to the field.

animal behavior and cognition↗

Multi-view BLUP: a promising solution for post-omics data integrative prediction

Phenotype prediction is a promising strategy for accelerating molecular plant breeding. Data from multiple sources (called multi-view data) can provide complementary information to characterize a biological object from various aspects. By integrating multi-view information into phenotype prediction, a multi-view best linear unbiased prediction (MVBLUP) method was proposed in this paper. By assigning different weights to measure the importance of different views of data and using a differential evolution algorithm with an early stopping mechanism to adjust the weight vector adaptively, a multi-view kinship matrix was obtained first and then incorporated into the BLUP model for phenotype prediction. To validate the efficiency of MVBLUP, we conducted numerical experiments on four multi-view datasets. Compared to the average performance of the single-view method, the prediction accuracy of the MVBLUP method has improved by a range of 0.038 to 0.201.The results demonstrate that the MVBLUP model is an effective method of integrating multi-view data.

genetics↗

High-resolution imaging atlas reveals context-dependent role of pancreatic sympathetic innervation in diabetic mice

Gaining a better understanding of how sympathetic nerves impact pancreatic function is helpful for understanding diabetes. However, there is still uncertainty and controversy surrounding the roles of sympathetic nerves within the pancreas. To address this, we utilize high-resolution imaging and advanced three-dimensional (3D) reconstruction techniques to study the patterns of sympathetic innervation and morphology in islets of adult WT and diabetic mice. Our data shows that more than [~]30% /{beta}-cells are innervated by sympathetic nerves in both WT and diabetic mice. Also, sympathetic innervated /{beta}-cells are reduced in DIO mice, whereas sympathetic innervated {beta}-cells are increased in db/db mice. Besides, in situ chemical pancreatic sympathetic denervation (cPSD) improves glucose tolerance in WT and db/db mice, but decreases in DIO mice. In situ cPSD also enhances insulin sensitivity in diabetic mice without affecting WT mice. Overall, our findings advance our comprehension of diabetes by highlighting the distinctive impact of pancreatic sympathetic innervation on glucose regulation. HighlightsPancreatic sympathetic innervation plays an important role in glucose homeostasis. In our study, we systematically investigate sympathetic innervation in the islets of WT and diabetic mice. O_LI45.9% -cells and 31.8% {beta}-cells are innervated by sympathetic nerves in 10-week-old WT mice. C_LIO_LISympathetic innervated /{beta}-cells are reduced in DIO mice, whereas sympathetic innervated {beta}-cells are increased in db/db mice. C_LIO_LIUnlike the core-mantle structure observed in WT and DIO mice, -cells and {beta}-cells are intermixed in db/db mice. C_LIO_LIPancreatic sympathetic denervation elicits varied responses across diabetic models, where it improves glucose tolerance and insulin sensitivity in db/db mice, yet it increases insulin sensitivity but reduces glucose tolerance in DIO mice. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=136 SRC="FIGDIR/small/623708v2_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@183be78org.highwire.dtl.DTLVardef@4dc76borg.highwire.dtl.DTLVardef@5f5ca0org.highwire.dtl.DTLVardef@ba3cc7_HPS_FORMAT_FIGEXP M_FIG Summary of morphological and physiological phenotypes in diabetic mice. All data are normalized to that of WT-10 mice. The numbers of "+" refer to their relative numbers. {uparrow} or {downarrow} refers to increase or decrease, ns refers to "not significant". "-" refers to the experiment has not been carried out. C_FIG

neuroscience↗

An environment-responsive SCLA-type GRAS protein controls reproductive strategy in Marchantia polymorpha

By controlling their reproductive strategies, plants strike a balance between generating genetic diversity or maintaining stability, promoting long-term survival in a range of environmental conditions. The liverwort Marchantia polymorpha propagates clonally through vegetative gemmae or via sexually generated spores, but our understanding of the genetic pathways underpinning reproductive decision-making is limited. GRAS transcriptional regulators are highly conserved proteins across land plants, with diverse functionality in stress and development. Here, we discover a central role for the SCLA-type transcription regulator MpGRAS7 in both stress signalling and reproduction in Marchantia. MpGRAS7 is highly expressed in gemma cups and gametangiophores and is activated in response to Far Red (FR) light and abscisic acid (ABA) environmental cues. Genetic dissection further suggests MpGRAS7 is required to maintain gemma dormancy, gemma cup frequency, and FR-induced gametangiophore development. The sequence conservation and expression patterns of MpGRAS7 orthologs in flowering plants hints towards the broader function of SCLA-type GRAS proteins in stress-regulated developmental transitions in plants.

plant biology↗

Phase Separation to Resolve Growth-Related Circuit Failures

Fluctuations in host cell growth poses a significant challenge to synthetic gene circuits, often disrupting circuit function. Existing solutions typically rely on circuit redesign with alternative topologies or additional control elements, yet a broadly applicable approach remains elusive. Here, we introduce a new strategy based on liquid-liquid phase separation (LLPS) to stabilize circuit performance. By engineering a self-activating circuit with transcription factors (TF) fused to an intrinsically disordered region (IDR), we enable the formation of TF condensates at the promoter region, maintaining local TF concentration despite growth-mediated dilution. This condensate formation preserves bistable memory in the self-activating circuit, demonstrating that phase separation can robustly counteract growth fluctuations, offering a novel design principle for resilient synthetic circuits.

synthetic biology↗