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Chen, G.

Publications and source records attributed to Chen, G..

At least 181 records · Page 10Linked to original sources

Chromosome-level scaffolding of haplotype-resolved assemblies using Hi-C data without reference genomes

Scaffolding is crucial for constructing most chromosome-level genomes. The high-throughput chromatin conformation capture (Hi-C) technology has become the primary scaffolding strategy due to its convenience and cost-effectiveness. As sequencing technologies and assembly algorithms advance, constructing haplotype-resolved genomes is increasingly preferred because haplotypes can provide additional genetic information on allelic and non-allelic variations. ALLHiC is a widely used allele-aware scaffolding tool designed for this purpose. However, its dependence on chromosome-level reference genomes and a higher chromosome misassignment rate still impede the unraveling of haplotype-resolved genomes. In this paper, we present HapHiC, a reference-independent allele-aware scaffolding tool with superior performance on chromosome assignment as well as contig ordering and orientation. Additionally, we provide new insights into the challenges in allele-aware scaffolding by conducting comprehensive analyses on various adverse factors. Finally, with the help of HapHiC, we constructed the haplotype-resolved allotriploid genome for Miscanthus x giganteus, an important lignocellulosic bioenergy crop. HapHiC is available at https://github.com/zengxiaofei/HapHiC.

bioinformatics↗

Visual boundary cues, alone, can anchor place and grid cells in virtual reality

The hippocampal formation contains neurons responsive to an animals current location and orientation, which together provide the organism with a neural map of space1-3. Spatially tuned neurons rely on external landmark cues and internally generated movement information to estimate position4,5. An important class of landmark cue are the boundaries delimiting an environment, which can define place cell field position6,7 and stabilise grid cell firing8. However, the precise nature of the sensory information used by the hippocampus to detect boundaries remains unknown. Here we use 2-dimensional virtual reality (VR)9 to show that purely visual cues from the surrounding walls are both sufficient and necessary to stabilise place and grid cell responses. Unstable grid cells retain internally coherent, hexagonally arranged firing fields, but these fields drift with respect to the virtual environment over periods >5 sec. Optic flow from a virtual floor does not slow drift dynamics, emphasising the importance of boundary-related visual information. Surprisingly, place fields are more stable close to boundaries even when these are invisible. Invisible boundary locations can only be inferred from the relative movements of the animal and a reward beacon, specifically, from the mismatch between observed beacon movement and that predicted from motor output. This shows that boundary information can be detected through sensorimotor feedback. We find that subsets of place cells show allocentric directional tuning towards the beacon, with strength of tuning correlating with place field stability when boundaries are removed.

neuroscience↗

Protein language models-assisted engineering of Uracil-N glycosylase enables programmable T-to-G and T-to-C base editing

Current base editors use DNA deamination enzymes, such as cytidine deaminase (CBE) or adenine deaminase (ABE), to facilitate transition nucleotide substitutions. Combining CBE or ABE with glycosylase enzymes, including CGBE and AYBE, can induce limited transversion mutations. Nonetheless, a critical demand remains for base editors capable of generating alternative mutation types, such as T>G corrections, which could address over 17% of monogenic SNVs responsible for human genetic diseases. In this study, we leveraged protein language models to engineer a uracil-N-glycosylase (UNG) variant with altered substrate specificities to thymines (eTDG). Notably, after only two rounds of testing fewer than 50 predicted variants, more than 50% exhibited a 1.5-11-fold enhancement in enzymatic activities, a success rate much greater than random mutagenesis. When eTDG was fused with Cas9 nickase without deaminases, it effectively induced programmable T to G or T to C substitutions and precisely corrected db/db diabetic mutation in mice (up to 55%). Our findings not only establish orthogonal strategies for developing novel base editors, but also demonstrate the capacities of protein language models for optimizing enzymes without extensive task-specific training data or laborious experimental procedures.

bioengineering↗

De novo generation of antibody CDRH3 with a pre-trained generative large language model

Artificial Intelligence (AI) techniques have made great advances in assisting antibody design. However, antibody design still heavily relies on isolating antigen-specific antibodies from serum, which is a resource-intensive and time-consuming process. To address this issue, we propose a Pre-trained Antibody generative large Language Model (PALM) for the de novo generation of artificial antibodies heavy chain complementarity-determining region 3 (CDRH3) with desired antigen-binding specificity, reducing the reliance on natural antibodies. We also build a high-precision model antigen-antibody binder (A2binder) that pairs antigen epitope sequences with antibody sequences to predict binding specificity and affinity. PALM-generated antibodies exhibit binding ability to SARS-CoV-2 antigens, including the emerging XBB variant, as confirmed through in-silico analysis and in-vitro assays. The in-vitro assays validated that PALM-generated antibodies achieve high binding affinity and potent neutralization capability against both wild-type and XBB spike proteins of SARS-CoV-2. Meanwhile, A2binder demonstrated exceptional predictive performance on binding specificity for various epitopes and variants. Furthermore, by incorporating the attention mechanism into the PALM model, we have improved its interpretability, providing crucial insights into the fundamental principles of antibody design.

bioinformatics↗

Sustained bacterial (N2O) reduction at acidic pH

Nitrous oxide (N2O) is a climate-active gas and emissions from terrestrial ecosystems are concerning. Microbial reduction of N2O to dinitrogen (N2) is the only known consumption process and has been studied extensively at circumneutral pH; however, N2O reduction under acidic conditions is thought to be limited. Global soil acidification, accelerated by anthropogenic practices, introduces high uncertainty into N2O emission budgets. We obtained an enrichment culture from an acidic tropical forest soil that robustly reduces N2O to N2 at pH 4.5 with the addition of pyruvate and hydrogen. Consecutive transfers at pH 4.5 yielded a co-culture and temporal analyses revealed a bimodal growth pattern with a Serratia sp. growing during the initial pyruvate fermentation phase followed by growth of a novel Desulfosporosinus sp. via hydrogenotrophic N2O reduction. The Desulfosporosinus sp. produced (3.1 {+/-} 0.11) x 108 cells per mmol of N2O consumed, on par with growth yields reported for clade II N2O reducers at circumneutral pH. Genome analysis identified a clade II nos gene cluster, but an incomplete pathway for sulfate reduction, a hallmark feature of the genus Desulfosporosinus. Physiological and metabogenomic characterization revealed interspecies nutritional interactions, with the pyruvate fermenting Serratia sp. supplying amino acids as essential growth factors to the Desulfosporosinus sp. The co-culture reduced N2O between pH 4.5 and 6 but not at or above pH 7, contradicting the paradigm that sustained microbial N2O reduction ceases under acidic pH conditions, thus confirming a previously unrecognized N2O reduction potential in acidic soils. Significance StatementProcesses generating N2O occur over a broad pH range spanning pH 3 to 12; however, the current paradigm assumes that microbial N2O consumption is limited to circumneutral pH (6 to 8). The imbalance between N2O production versus consumption has increased the atmospheric concentration of this climate active gas by 17 % over the last 100 years, and accelerated emissions due to global soil acidification are a major climate concern. From acidic soil, we obtained a bacterial culture harboring a novel Desulfosporosinus species that effectively reduces N2O at pH 4.5, but not at or above pH 7. The discovery of an N2O reducer adapted to acidic pH conditions has far-reaching implications for predicting, modeling, and potentially managing N2O emissions from low pH ecosystems. Note for publisher (this text will be removed prior to publication)This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

microbiology↗

Suppression of epithelial proliferation and tumorigenesis by immunoglobulin A

Immunoglobulin A (IgA) is the most abundant antibody isotype produced across mammals and plays a specialized role in mucosal homeostasis1. Constantly secreted into the lumen of the intestine, IgA binds commensal microbiota to regulate their colonization and function2,3 with unclear implications for health. IgA deficiency is common in humans but is difficult to study due to its complex aetiology and comorbidities4-8. Using genetically and environmentally controlled mice, here we show that IgA-deficient animals have increased susceptibility to endogenous colorectal tumours. Cellular and molecular analyses revealed that, in the absence of IgA, colonic epithelial cells induce antibacterial factors and accelerate cell cycling in response to the microbiota. Oral treatment with IgA was sufficient to both reduce steady-state proliferation and protect mice from tumours, but this function was due to antibody structure rather than binding specificity. In both organoid and monolayer culture systems, IgA directly suppressed epithelial growth. Co-immunoprecipitation mass spectrometry and a targeted CRISPR screen identified DMBT1 as an IgA-binding epithelial surface protein required for IgA-mediated suppression of proliferation. Together, IgA and DMBT1 regulate Notch signalling and tune the normal cycling of absorptive colonocyte progenitors. In mice, deleting the transmembrane and cytoplasmic signalling portions of DMBT1 or blocking Notch signalling was sufficient to reverse both the increased proliferation and tumour susceptibility of IgA knockouts. These experiments establish a homeostatic function for IgA in tempering physiological epithelial responses to microbiota to maintain mucosal health.

immunology↗

Activation of a cortical neurogenesis transcriptional program during NEUROD1-induced astrocyte-to-neuron conversion

NEUROD1-induced astrocyte-to-neuron (AtN) conversion has garnered significant attention as a potential therapeutic intervention to neurological disorders. To gain insight into the molecular regulations underlying this neuronal reprogramming process, we applied single-cell multiomics analyses on in vitro ND1-induced AtN conversion to systematically investigate how ND1 changed the fate of astrocytes at transcriptomic and epigenetic levels. Our findings reveal that the initial immature astrocytes go through an intermediate state where both astrocytic and neuronal genes are activated at early stage of AtN conversion. ND1 directly reshapes the chromatin accessibility landscape of astrocytes to that of neurons, promoting expression of endogenous Neurod1 and other neurogenic genes such as Hes6, Insm1 etc. Interestingly, cell proliferation status is highly correlated with conversion rate, and inhibition of cell division significantly reduces the conversion ratio. Moreover, in comparison with another AtN reprogramming transcription factor, ASCL1, external ND1 can activate endogenous Neurod1 and directly promote neuronal gene transcription; whereas external ASCL1 hardly activates endogenous Ascl1, leading to slower and inefficient conversion. Together, our studies demonstrate that in vitro AtN conversion mimics neurogenic transcriptional program in embryonic neurogenesis.

neuroscience↗

Differentiation and migration of hematopoietic stem and progenitor cells cross multiple tissues

Hematopoiesis requires the coordinated differentiation of hematopoietic stem cells and progenitor cells (HSPCs) in multiple tissues. Although differentiation of HSPCs in bone marrow (BM) has been well-studied, our knowledge about the migration and differentiation of HSPCs cross tissues is limited. Here, we collected and integrated single-cell RNA-seq data of human CD34+ cells, which represent HSPCs, from BM, peripheral blood (PB), thymus and mobilized PB (mPB), to investigate the hematopoiesis cross tissues. We constructed a cell atlas of HSPCs cross tissues and found most HSPC subsets in BM had counterparts in PB, indicating migration of HSPCs from BM to PB has a much broad spectrum. We found B progenitors highly expressed CXCR4 for anchoring in BM, while cells with low expression of CXCR4 facilitate their migration out of BM. Among the HSPC subsets from thymus, we only found the counterparts of the earliest thymic progenitors (ETPs) in BM and PB, potentially indicating that ETPs were the subsets that migrated from BM to PB and thymus. We found interaction signaling including CD99-CD99, CXCL12-CXCR4 and CCL19-CCR7 played important roles in ETP homing to thymus. Briefly, these data provided a single unified developmental spectrum of hematopoiesis cross different tissues, connected by cell migration.

genomics↗

A novel MARV glycoprotein-specific antibody with potentials of broad-spectrum neutralization to filovirus

Marburg virus (MARV) is one of the filovirus species that cause deadly hemorrhagic fever in humans, with mortality rates up to 90%. Neutralizing antibodies represent ideal candidates to prevent or treat virus disease. However, no antibody has been approved for MARV treatment to date. In this study, we identified a novel human antibody named AF-03 that targeted MARV glycoprotein (GP). AF-03 possessed a high binding affinity to MARV GP and showed neutralizing and protective activities against the pseudotyped MARV in vitro and in vivo. Epitope identification, including molecular docking and experiment-based analysis of mutated species, revealed that AF-03 recognized the Niemann-Pick C1 (NPC1) binding domain within GP1. Interestingly, we found the neutralizing activity of AF-03 to pseudotyped Ebola viruses (EBOV, SUDV, and BDBV) harboring cleaved GP instead of full-length GP. Furthermore, NPC2-fused AF-03 exhibited neutralizing activity to several filovirus species and EBOV mutants via binding to CI-MPR. In conclusion, this work demonstrates that AF-03 represents a promising therapeutic cargo for filovirus-caused disease.

immunology↗

Genetic basis and evolution of structural color polymorphism in an Australian songbird

Island organisms often evolve phenotypes divergent from their mainland counterparts, providing a useful system for studying adaption under differential selection. Some island birds have melanic plumage differing from the color of mainland conspecifics, a trait proposed as an insular adaptation. In the white-winged fairywren (Malurus leucopterus), subspecies on two islands have a black nuptial plumage whereas the subspecies on the Australian mainland has a blue nuptial plumage. The black subspecies have a feather nanostructure that could produce a blue structural color, suggesting a blue ancestor. An earlier study proposed independent evolution of melanism on the islands based on the history of subspecies divergence. However, the genetic basis of melanism and the origin of color differentiation in this group are still unknown. Here, we used whole-genomes to investigate the genetic basis of melanism by comparing the blue and black M. leucopterus subspecies to identify highly divergent genomic regions. We identified a well-known pigmentation gene ASIP and four candidate genes that may contribute to feather nanostructure development. We also detected signatures of a selective sweep in genomic regions containing ASIP and SCUBE2 not in the black subspecies, as predicted by earlier work, but in the blue subspecies, which possesses many derived SNPs in these regions, suggesting that the mainland subspecies has re-evolved a blue plumage from a black ancestor. This re-evolution was likely driven by a pre-existing female preference. Our findings provide new insight into the evolution of plumage coloration in island versus continental populations, and, importantly, we identify candidate genes that likely play roles in the development and evolution of feather structural coloration.

evolutionary biology↗

NRF2 Regulates Contractile Vascular Smooth Muscle Cells Phenotypic Switching In Abdominal Aortic Aneurysm

OBJECTIVEEvidence from previous studies has demonstrated that NRF2 can protect cardiovascular progression,which prompted us to study if NRF2 is involved in AAA development. APPROACH AND RESULTSThe difference and function of NRF2 in AAA were verified on human aortic tissues combined with scRNA-seq samples.We then used angiotensin II (Ang II) infusion mouse model with VSMCs-specific knockout to study the role of NRF2 in AAA formation.Primary cultured VSMCs were used to study how NRF2 regulates contractile VSMCs phenotype.Patient specimens were obtained to investigate the relevance of NRF2 expression to human AAA disease. NRF2 was induced in abdominal aortic VSMCs in both mouse and human AAA tissues. VSMCs-specific NRF2 knockout increased experimental AAA formation. Mechanistically, NRF2 regulates the contractile VSMCs phenotypic through miRNA145, leading to increased classic contractile protein level to prevent the development of AAA. CONCLUSIONSNRF2 is a negative regulator of AAA development, and thus may represent a potentially new therapeutic target to inhibit AAA growth and rupture.

bioinformatics↗

Predicting Gene Spatial Expression and Cancer Prognosis: An Integrated Graph and Image Deep Learning Approach Based on HE Slides

Interpreting the tumor microenvironment (TME) heterogeneity within solid tumors presents a cornerstone for precise disease diagnosis and prognosis. However, while spatial transcriptomics offers a wealth of data, ranging from gene expression and spatial location to corresponding Hematoxylin and Eosin (HE) images, to explore the TME of various cancers, its high cost and demanding infrastructural needs significantly limit its clinical application, highlighting the need for more accessible alternatives. To bridge this gap, we introduce the Integrated Graph and Image Deep Learning (IGI-DL) model. This innovation, a fusion of Convolutional Neural Networks and Graph Neural Networks, is designed to predict gene spatial expression using HE images. The IGI-DL model outperforms its predecessors in analyzing colorectal cancer (CRC), breast cancer, and cutaneous squamous cell carcinoma (cSCC) by leveraging both pixel intensity and structural features in images. Significantly, across all cancer types, the IGI-DL model enhances the mean correlation of the top five genes by an average of 0.125 in internal and external test sets, rising from 0.306 to 0.431, surpassing existing state-of-the-art (SOTA) models. We further present a novel risk score derived from a super-patch graph, where gene expression predicted by IGI-DL serves as node features. Demonstrating superior prognostic accuracy, this risk score, with a C-index of 0.713 and 0.741 for CRC and breast cancer, supersedes traditional HE-based risk scores. In summary, the approach augments our understanding of the TME from the aspect of histological images, portending a transformation in cancer prognostics and treatment planning and ushering in a new era of personalized and precision oncology.

bioinformatics↗

Molecular characterization of baculovirus-induced chromatin marginalization and architectural alteration

To facilitate rapid replication and assembly of progeny, baculovirus is known to manipulate the host nuclear microenvironment by inducing chromatin changes in localization and architecture. However, the molecular mechanisms underlying these changes remain unknown. Here, we revealed that the nuclear lamina (NL) protein Lamin A/C interacts with the heterochromatin protein 1 alpha (HP1a) and identified the middle region of HP1a as critical for this interaction. Suppression of Lamin A/C and HP1a expression resulted in a significant inhibition of chromatin marginalization mediated by baculovirus infection. Moreover, the heterochromatin modification H3K9me3, which is recognized and bound by HP1a, also participated in the process of chromatin marginalization. Our live-cell imaging and quantitative analysis unveiled a passive function of marginal chromatin, which involves the formation of a physical barrier that impedes the nuclear egress of the nucleocapsids. Furthermore, baculovirus-induced nuclear F-actin altered the steady-state of intranuclear actin pool, thus regulating the nucleosome disassembly. Overall, our findings illustrate the molecular mechanisms dictating chromatin marginalization and structural alterations during baculovirus infection, shedding new light on the potential function of marginalized chromatin in the origin of its biphasic life cycle. Author SummaryIn our previous study, we illustrated the organization and accessibility of chromatin marginalized by baculovirus infection through a combination of ATAC-seq and biochemical assays. Here, we further dissect the molecular mechanism underlying the baculovirus infection induced chromatin marginalization and disassembly. Specifically, baculovirus utilizes the Lamin A/C-HP1a-H3K9me3 axis to mediate chromatin marginalization at the nuclear periphery. When the interaction between Lamin A/C and HP1a is disrupted, the marginalization of chromatin is also affected. Furthermore, our single-virion tracking results indicate that the marginalized chromatin forms a physical barrier, impeding the nuclear export of nucleocapsids at the very late stage of infection. For the changes in chromatin architecture, we propose a model in which baculovirus infection induced nuclear F-actin compromises the dynamics of nuclear actin pool, which in turn promotes chromatin disassembly. Taken together, we provide a comprehensive understanding of molecular mechanism of baculovirus infection induced changes in chromatin localization and organization, which lay the foundation for studies on how DNA viruses manipulate the nuclear microenvironment.

microbiology↗

AAV-mediated Delivery of Plakophilin-2a Arrests Progression of Arrhythmogenic Right Ventricular Cardiomyopathy in Murine Hearts: Preclinical Evidence Supporting Gene Therapy in Humans

BackgroundPathogenic variants in plakophilin-2 (PKP2) cause arrhythmogenic right ventricular cardiomyopathy (ARVC), a disease characterized by life-threatening arrhythmias and progressive cardiomyopathy leading to heart failure. No effective medical therapy is available to prevent and/or arrest the disease. We tested the hypothesis that AAV-mediated delivery of the human PKP2 gene to an adult mammalian heart deficient in PKP2 can arrest disease progression and significantly prolong survival. MethodsExperiments were carried out using a cardiac-specific, tamoxifen (TAM)-activated PKP2 knockout murine model (PKP2-cKO). The potential therapeutic, AAVrh.74-PKP2a (RP-A601), is a recombinant AAVrh.74 gene therapy viral vector encoding the human PKP2 variant A (PKP2a). AAVrh.74-PKP2a was delivered to adult mice by a single tail vein injection either before or after TAM-activated PKP2-cKO. PKP2 expression was confirmed by molecular and histopathologic analyses. Cardiac function and disease progression were monitored by survival analyses, echocardiography and electrocardiography. ResultsConsistent with prior findings, loss of PKP2 expression caused 100% mortality within 50 days after TAM injection. In contrast, AAVrh.74-PKP2a-mediated PKP2a expression resulted in 100% survival for more than 5 months (at study termination). Echocardiographic analysis revealed that AAVrh.74-PKP2a prevented right ventricle dilation, arrested left ventricle functional decline, and mitigated arrhythmia burden. Molecular and histological analysis showed AAVrh.74-PKP2a- mediated transgene mRNA and protein expression and appropriate PKP2 localization at the cardiomyocyte intercalated disc. Importantly, therapeutic benefit was shown in mice receiving AAVrh.74-PKP2a after disease onset. ConclusionThese preclinical data demonstrate the potential for AAVrh.74-PKP2a (RP-A601) as a therapeutic for PKP2-related ARVC in both early and more advanced stages of disease.

physiology↗

EMDiffuse: a diffusion-based deep learning method augmenting ultrastructural imaging and volume electron microscopy

Electron microscopy (EM) revolutionized the way to visualize cellular ultrastructure. Volume EM (vEM) has further broadened its three-dimensional nanoscale imaging capacity. However, intrinsic trade-offs between imaging speed and quality of EM restrict the attainable imaging area and volume. Isotropic imaging with vEM for large biological volumes remains unachievable. Here we developed EMDiffuse, a suite of algorithms designed to enhance EM and vEM capabilities, leveraging the cutting-edge image generation diffusion model. EMDiffuse demonstrates outstanding denoising and super-resolution performance, generates realistic predictions without unwarranted smoothness, improves predictions resolution by [~]30%, and exhibits excellent transferability by taking only one pair of images to fine-tune. EMDiffuse also pioneers the isotropic vEM reconstruction task, generating isotropic volume similar to that obtained using advanced FIB-SEM even in the absence of isotropic training data. We demonstrated the robustness of EMDiffuse by generating isotropic volumes from six public datasets obtained from different vEM techniques and instruments. The generated isotropic volume enables accurate organelle reconstruction, making 3D nanoscale ultrastructure analysis faster and more accessible and extending such capability to larger volumes. More importantly, EMDiffuse features self-assessment functionalities and guarantees reliable predictions for all tasks. We envision EMDiffuse to pave the way for more in-depth investigations into the intricate subcellular nanoscale structures within large areas and volumes of biological systems.

cell biology↗

Improving the Circularization Efficiency, Stability and Translatability of Circular RNA by circDesign

Synthetic circular RNA (circRNA) has emerged as a promising platform for vaccine and therapeutic development, featuring its uniqueness in a closed-loop structure, cap-independent translation mechanism, and prolonged expression. However, the rational design of a circRNA sequence to jointly improve its stability and protein coding potential remains challenging. In this study, we present circDesign, an efficient algorithm to achieve the optimal design of circRNA by ensuring optimized folding of each segment, which leads to enhanced circularization efficiency, stability, and translatability. Using rabies virus glycoprotein (RABV-G) as the model antigen, we demonstrated that circDesign-generated circRNAs exhibited higher stability and protein translation efficiency in vitro and in vivo compared to other codon adaptation index (CAI)-optimized sequences, thus leading to enhanced in vivo immunogenicity. Ribosome and polysome profiling further revealed that an intact internal ribosome entry site (IRES) structure is critical for efficient translation. By intentionally disrupting the IRES motifs, we observed that the resulting circRNA sequences had lower translatability compared to circDesign-generated sequences. Taken together, our circular RNA design algorithm provides a general strategy to leverage the capability of circRNA as next-generation vaccines or therapeutics.

bioengineering↗

Concatenated tandem constructs of BK channels reveal three distinct types of subunit stoichiometry in channel modulation by the auxiliary γ subunit and mutations in the channel pore region

Big-conductance, Ca2+-activated K+ (BK) channels consist of Ca2+- and voltage-sensing, pore-forming (BK) subunits and regulatory auxiliary {beta} or {gamma} subunits. Concatenated subunit constructs are powerful tools for elucidating subunit stoichiometry in ion channel gating and regulation, allowing control over subunit arrangement, stoichiometry, and mutation. However, the additional S0 transmembrane segment in BK places its N- and C-termini on opposite sides of the membrane, preventing tandem BK channel subunit construction by conventional methods. To investigate the atypical "all-or-none" modulatory function of {gamma} subunits and the subunit stoichiometry of BK channel gating, we developed concatenated constructs containing 2 or 4 BK subunits by splicing them into modular forms that can be co-expressed to form functional channels. These constructs retained voltage and Ca2+ gating properties similar to intact BK channels. By fusing the LRRC26 ({gamma}1) subunit to the N-terminus of tandem BK constructs, we found that a single {gamma}1 subunit per subunit tetramer is sufficient to fully modulate the channel. Furthermore, the L312A mutation in the deep pore region exhibited a stoichiometrically graded effect on voltage-gated BK channel activation. In contrast, a V288A mutation at the selectivity filter induced channel inactivation only when present in all four BK subunits. Thus, by engineering concatenated BK constructs, we identified three distinct stoichiometric modes of BK channel gating control by LRRC26, the pore, and the selectivity filter. This study offers new molecular tools and advances our understanding of subunit stoichiometry in BK channel gating and modulation.

biochemistry↗

Improving accuracy and precision of heritability estimation in twin studies: Reassessing the measurement error assumption

IntroductionThe conventional approach to estimating heritability in twin studies implicitly assumes either the absence of measurement error or that any measurement error is incorporated into the nonshared environment component. However, this assumption can be problematic when it does not hold or when measurement error cannot be reasonably classified as part of the nonshared environment. MethodsIn this study, we demonstrate the need for improvement in the conventional structural equation modeling (SEM) used for estimating heritability when applied to trait data with measurement errors. The critical issue revolves around an assumption concerning measurement errors in twin studies. In cases where traits are measured using samples, data is aggregated during preprocessing, with only a centrality measure (e.g., mean) being used for modeling. Additionally, measurement errors resulting from sampling are assumed to be part of the nonshared environment and are thus overlooked in heritability estimation. Consequently, the presence of intra-individual variability remains concealed. Moreover, recommended sample sizes are typically based on the assumption of no measurement errors. ResultsWe argue that measurement errors in the form of intra-individual variability are an intrinsic limitation of finite sampling and should not be considered as part of the nonshared environment. Previous studies have shown that the intra-individual variability of psychometric effects is significantly larger than the inter-individual counterpart. Here, to demonstrate the appropriateness and advantages of our hierarchical linear modeling approach in heritability estimation, we utilize simulations as well as a real dataset from the ABCD (Adolescent Brain Cognitive Development) study. Moreover, we showcase the following analytical insights for data containing non-negligible measurement errors: O_LIThe conventional SEM may underestimate heritability. C_LIO_LIA hierarchical model provides a more accurate assessment of heritability. C_LIO_LILarge samples, exceeding 100 observations or thousands of twins, may be necessary to reduce imprecision. C_LI DiscussionOur study highlights the impact of measurement error on heritability estimation and introduces a hierarchical model as a more accurate alternative. These findings have significant implications for understanding individual differences and improving the design and analysis of twin studies.

genetics↗