Biology subjects

Shao, B.

Publications and source records attributed to Shao, B..

At least 19 recordsLinked to original sources

bioRxiv2026

Chimeric Induced Cooperativity Opens the Design Space of Eukaryotic Gene Regulation

Predictive engineering of eukaryotic transcription is limited by the coupling of signal sensing, DNA binding, TF abundance and promoter output. Here we establish chimeric induced cooperativity (CIC), a modular architecture that separates LBD, DBD and AD functions and links them to promoters with tunable basal and maximal output. Module parameters can be recombined to predict new CIC-TF configurations and guide design before construction. Ligand-induced cooperativity reduces basal DNA occupancy while increasing induced occupancy, and effective DBDs combine low OFF-state activity with strong ON-state promoter occupancy rather than binding strength alone. Synthetic promoters independently control occupancy gain and output range. The same framework extends to repression and can be recalibrated with limited measurements in mammalian cells. In yeast, CIC-12 achieved a mean fold induction of 298-fold across 12 orthogonal sensors; an earlier CIC-10 chassis enabled model-guided optimization of an eight-gene vitamin B5 biosynthetic pathway. CIC establishes a programmable, model-guided design space for eukaryotic transcriptional control.

synthetic biology↗

bioRxiv2026

MaskTalk: cell-identity-gated spatial lag for target-aware cell-cell communication inference in high-resolution spatial transcriptomics

MotivationHigh-resolution spatial transcriptomics enables single-cell ligand-receptor analysis, but unmasked receptor spatial lags include receptor expression from non-target neighbors, complicating the attribution of local communication signals to specified source-target cell-type pairs. ResultsWe present MaskTalk, a Python package implementing the cell-identity-gated spatial lag model (CIG-SLM). CIG-SLM restricts receptor-side neighborhoods to target cells through W(C) = WD(C). In cell-level breast cancer Visium HD data, CIG-SLM produced target-cell-dependent communication profiles relative to the matched LIANA+ bivariate unmasked baseline, and masked-specific records showed larger between-condition effect sizes and shorter physical source-target distances. Public breast cancer Xenium data demonstrated that MaskTalk runs on external cell-level spatial data and exhibits target-aware masking behavior. Availability and ImplementationImplemented in Python with AnnData; code is available at https://github.com/JiaPP1994/MaskTalk. Software and data archive DOIs are 10.5281/zenodo.21735883 and 10.5281/zenodo.21735951, respectively. Contactshaobin79@aliyun.com; cuihw2001423@163.com Supplementary InformationSupplementary Methods S1-S4, Figures S1-S3, and Tables S1-S5.

bioinformatics↗

bioRxiv2026

Reliability and validity of multi-band multi-echo fMRI

Precision mapping of individual differences in human brain spontaneous activity is critical for characterizing brain function and guiding clinical translation. Multi-echo resting-state functional MRI (ME-rfMRI) has the potential to provide more reliable mapping of inter-individual differences in intrinsic brain function than conventional single-echo rfMRI (SE-rfMRI). However, the psychometric benefits of ME-rfMRI for mapping individual differences in spontaneous brain activity (SBA) have not been systematically investigated, which is fundamental for understanding the human brain in health and disease. To quantify the psychometric performance of ME-rfMRI in precisely mapping inter-individual variations in SBA, we employed a psychometric design. We scanned 27 healthy adults with both ME-rfMRI and SE-rfMRI to assess short-term (minutes) test-retest reliability, as well as validity across eyes-open (EO) and eyes-closed (EC) resting states. Our results demonstrate that ME-rfMRI improves reliability relative to SE-rfMRI by 10.8% for amplitude of low-frequency fluctuation (ALFF), 4.4% for regional homogeneity (ReHo), and 8.0% for voxel-mirrored homotopic connectivity (VMHC) in cortical regions, and by 12.5% for ALFF, 8.3% for ReHo, and 4.0% for VMHC in subcortical regions. This enhancement is achieved by increasing inter-individual variability while reducing intra-individual variability. Notably, ME-rfMRI accentuates inter-individual variability in the unimodal cortex and clearly delineates two parallel systems with distinct variability patterns within the motor cortex. Concurrently, ME-rfMRI increases effect sizes (4%-8%) for detecting individual differences between EO and EC resting states. Interestingly, ME-rfMRI reveals differential effects of eye closure on two intertwined systems in the primary motor and sensory cortices, extending previous findings. Computational simulations indicate that, compared to SE-rfMRI, ME-rfMRI facilitates experimental designs with reduced costs (i.e., 4%-11% smaller sample sizes) for precise mapping of individual differences. These findings establish, for the first time, the psychometric performance of ME-rfMRI measurements, supporting its potential utility in personalized neuroscience applications, including neurodevelopment and brain disorders.

neuroscience↗

bioRxiv2025

The role of MICOS in modulating mitochondrial dynamics and structural changes in vulnerable regions of Alzheimer's Disease

Mitochondrial contact site and cristae organizing system (MICOS) complexes are critical for maintaining the mitochondrial architecture, cristae integrity, and organelle communication in neurons. MICOS disruption has been implicated in neurodegenerative disorders, including Alzheimers disease (AD), yet the spatiotemporal dynamics of MICOS-associated neuronal alterations during aging remain unclear. Using three-dimensional reconstructions of hypothalamic and cortical neurons, we observed age-dependent fragmentation of mitochondrial cristae, reduced intermitochondrial connectivity, and compartment-specific changes in mitochondrial size and morphology. Notably, these structural deficits were most pronounced in neurons vulnerable to AD-related pathology, suggesting a mechanistic link between MICOS disruption and the early mitochondrial dysfunction observed in patients with AD. Our findings indicate that the loss of MICOS integrity is a progressive feature of neuronal aging, contributing to impaired bioenergetics and reduced resilience to metabolic stress and potentially facilitating neurodegenerative processes. MICOS disruption reduced neuronal firing and synaptic responsiveness, with miclxin treatment decreasing mitochondrial connectivity and inducing cristae disorganization. These changes link MICOS structural deficits directly to impaired neuronal excitability, highlighting vulnerability to AD-related neurodegeneration. These results underscore the importance of MICOS as a critical determinant of neuronal mitochondrial health and as a potential target for interventions aimed at mitigating AD-related mitochondrial dysfunction.

neuroscience↗

bioRxiv2025

Multimodal profiling reveals a Notch-responsive regenerative subpopulation of cochlear supporting cells

Regeneration enables organisms to repair damaged tissues, yet this capacity is strikingly limited in the cochlear sensory epithelium, essential for sound detection. A major cause of hearing loss arises from the irreversible loss of sensory hair cells (HCs) in the cochlea. While supporting cells (SCs) have a latent ability to transdifferentiate into HCs, this regenerative potential is rapidly lost after development. Using live imaging and single-cell multi-omics of cochlear explants, we uncovered the cellular and molecular heterogeneity underlying the limited regenerative capacity of the neonatal mouse cochlea. Notch repression broadly silenced key SC genes, yet only a rare subpopulation of Deiters cells (DC), termed transdifferentiating DCs (tDCs), initiated the transdifferentiation into HC fate. These cells underwent coordinated transcriptional and enhancer remodeling, linking epigenetic priming with morphological plasticity, while other SCs remained refractory despite robust Notch targets downregulation. Our study provides a molecular definition of an early induced transitional DC to HC state, revealing Notch inhibition as a selective trigger that unmasks rare regenerative competence.

developmental biology↗

bioRxiv2025

Electroacupuncture promotes post-stroke motor recovery through miR-124-3p-mediated regulation of NRG1/ErbB4 signaling pathway

ObjectiveElectroacupuncture has demonstrated beneficial effects in post-stroke motor dysfunction, yet the molecular mechanisms underlying its therapeutic efficacy remain incompletely understood. This study aims to investigate whether electroacupuncture promotes post-stroke motor function recovery by modulating the interaction between miR-124-3p and the NRG1/ErbB4 signaling pathway, specifically exploring whether miR-124-3p directly targets NRG1 to regulate neural plasticity in a focal cerebral ischemia rat model. MethodsThe ischemic stroke model was established by middle cerebral artery occlusion/reperfusion (MCAO/R) in adult rats. These rats were randomly divided into sham, model, electroacupuncture and model plus miR-124-3p inhibitor groups. The model group, electroacupuncture group and model plus miR-124-3p inhibitor group received EA intervention 24 h after modelling for 7 consecutive days. Behavioural function was assessed by Zea Longa score and mechanical pain rating. Hippocampal damage was detected by HE staining and neuronal apoptosis was observed by TUNEL staining. IL-1{beta} and IL-18 levels were measured by ELISA. PCR and Western blotting were used to detect the expression of miR-124-3p and inflammatory pathway proteins. The interaction between miR-124-3p and TLR4 was verified by dual-luciferase reporter assay. ResultsElectroacupuncture improved motor function in rat model of MCAO/R, as evidenced by improved Zea Longa scores and decreased mechanical withdrawal thresholds. Electroacupuncture significantly attenuated neuronal damage and also inhibited the inflammatory response by decreasing IL-18 and IL-1{beta} levels (P < 0.001). Notably, electroacupuncture upregulated miR-124-3p expression (P < 0.0001) and activated the NRG1/ErbB4 signaling pathway in the hippocampus. When miR-124-3p was inhibited, NRG1 protein expression decreased while GABA expression tended to increase. Dual-luciferase reporter assays confirmed that miR-124-3p directly targets the 3UTR of NRG1 mRNA and regulates its expression at the translational level. These findings suggest that electroacupuncture may alleviate neuronal and axonal damage by modulating miR-124-3p/NRG1/ErbB4 signalling and regulating GABA release. ConclusionElectroacupuncture can ameliorate motor dysfunction induced after brain I/R injury by targeting and modulating the NRG1-ErbB4 signaling pathway via miR-124-3p. These data are expected to provide new insights into the mechanisms of electroacupuncture for the prevention of potential targets for the recovery of motor dysfunction after stroke.

animal behavior and cognition↗

bioRxiv2024

Three-dimensional analysis of mitochondria in a patient-derived xenograft model of triple negative breast cancer reveals mitochondrial network remodeling following chemotherapy treatments

Mitochondria are hubs of metabolism and signaling, playing crucial roles in tumorigenesis, therapeutic resistance, and metastasis in many types of cancer. Various laboratory models of cancer demonstrate the extraordinary dynamics of mitochondrial structure, but little is known about the full extent of the complexity of the mitochondrial network, nor its regulation upon exposure to therapeutic stressors. We previously demonstrated the importance of mitochondrial structure and oxidative phosphorylation in the survival of chemotherapy-refractory triple negative breast cancer (TNBC) cells. As TNBC is a highly aggressive breast cancer subtype with few targeted therapy options, conventional chemotherapies remain the backbone of TNBC treatment. Unfortunately, approximately 45% of TNBC patients retain substantial residual tumor burden following chemotherapy, associated with abysmal prognoses. Herein we present the first three-dimensional analysis of mitochondrial networks in human tumor tissues. Use of two experimentally tractable orthotopic patient-derived xenograft (PDX) models TNBC enabled us to conduct longitudinal analyses to construct mitochondrial networks in treatment-naive and residual tumors persisting after exposure to a variety of conventional chemotherapies. Further, we modeled lipid droplet (LD) structures and their physical contacts with mitochondria. In total, we reconstructed 3,750 mitochondria and 800 LDs in three dimensions using serial block-face scanning electron microscopy (SBF-SEM), providing unprecedented insights into the complexity and intra-tumoral heterogeneity of mitochondria in TNBC. Both carboplatin (CRB) and docetaxel (DTX) chemotherapies produced residual tumors that harbored mitochondria with significantly increased areas, volumes, and perimeters in both PDX models. Additionally, treatment with the conventional combinations DTX plus CRB or Adriamycin plus cyclophosphamide (AC), led to reduced mitochondrial branching and elongation. In contrast, DTX or CRB alone elicited model-specific changes in mitochondrial complexity. Further, the extensive intra-tumoral heterogeneity of mitochondrial structure in untreated PDX tumors significantly decreased in residual tumors. Analyses of LDs revealed significant and consistent elevation of the number and physical proximity of MLCs in residual tumors, congruent with our previous studies providing evidence for transcriptomic and proteomic rewiring of lipid metabolism in residual TNBC. These results highlight the potential for structure-based monitoring of chemotherapeutic metabolic reprogramming and suggest unique molecular mechanisms that may underlie chemoresistance in TNBC. Furthermore, our findings provide novel insights into a new type of intratumoral heterogeneity, that of mitochondrial intratumoral heterogeneity, which complements our understanding of the genomic, epigenomic, transcriptomic, and proteomic complexity of TNBC.

cancer biology↗

bioRxiv2024

The MICOS Complex Regulates Mitochondrial Structure and Oxidative Stress During Age-Dependent Structural Deficits in the Kidney

Due to aging, the efficiency of kidney function begins to decrease. Dysfunction in mitochondria and their cristae is a hallmark of aging. Therefore, age-related decline in kidney function could be attributed to changes in mitochondrial ultrastructure, increased reactive oxygen species, and alterations in metabolism and lipid composition. We sought to understand how mitochondrial ultrastructure is altered over time in tubular kidney cells. A serial block facing-scanning electron microscope and manual segmentation using the Amira software were employed to visualize murine kidney samples during the aging process at 3 months (young) and 2 years (old). We found that 2-year mitochondria are more fragmented with many uniquely shaped mitochondria observed across aging, concomitant with shifts in ROS, metabolomics, and lipid homeostasis. Furthermore, we demonstrate that the mitochondrial contact site and cristae organizing system (MICOS) complex is impaired in the kidney during aging. Disruption of the MICOS complex resulted in altered mitochondrial metabolic function and increased ROS levels. We found significant, detrimental structural changes in the mitochondria of aged kidney tubules, suggesting a potential mechanism underlying the increased frequency of kidney disease with aging. We hypothesize that disruption of the MICOS complex exacerbates mitochondrial dysfunction, creating a vicious cycle of mitochondrial degradation and oxidative stress, which impacts kidney health. Impact and ImplicationsDue to aging, the efficiency of kidney function begins to decrease, and the risk of kidney diseases may increase; however, the specific regulators of mitochondrial age-related changes are poorly understood. This study demonstrates that the MICOS complex may be a target for mitigating age-related mitochondrial changes. The MICOS complex is associated with oxidative stress and calcium dysregulation, which also arise in many kidney pathologies. HighlightsO_LIAging alters the MICOS mRNA levels and disease markers. C_LIO_LIAging reduces cristae architecture, mitochondrial volume and complexity in murine kidney ultrastructure C_LIO_LIReducing MIC60 and CHCHD6 lowers Ca2+ uptake and retention and induces oxidative stress in HEK cells. C_LIO_LIMetabolomic Profiling revealed that NAD+ and amino acid metabolism were altered in aged kidneys. C_LIO_LIMICOS deficiency alters the reduced basal, ATP-linked, maximal capacity and spare capacity. C_LIO_LIDecreased modeled expression of CHCHD6 in individuals of European genetic ancestry is linked to chronic kidney disease, whereas decreased modeled expression of OPA1 in individuals of African genetic ancestry is associated with chronic kidney disease. C_LI Graphical AbstractKidney aging causes a decline in the MICOS complex, concomitant with metabolic, lipidomic, and mitochondrial structural alterations. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/598108v3_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@1a868f0org.highwire.dtl.DTLVardef@1817bfborg.highwire.dtl.DTLVardef@1f2a1a3org.highwire.dtl.DTLVardef@520692_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

bioRxiv2024

The cornerstone of early diagnosis and immunotherapy of prostate cancer:screening characteristic genes

BackgroundProstate cancer (PCA) has become a common malignant tumor globally, posing a substantial risk to the health of middle-aged and elderly men. However, there is still a lack of effective strategies for early detection and treatment of prostate cancer. The introduction of gene therapy in recent years has shown promise as a potential approach for cancer diagnosis and treatment. Methodology & Theoretical OrientationThe training set data GSE45016, GSE46602, and GSE69223 from the Gene Expression Omnibus (GEO) dataset, along with validation training set data GSE17951, were utilized. Differentially expressed genes (DEGs) between normal individuals and tumor patients were identified by combining the training set data. Subsequent analyses including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) were conducted on the DEGs. WGCNA analysis was then performed on the gene expression matrix to identify module genes highly correlated with PCA, followed by the application of the LASSO algorithm to obtain PCA candidate genes. The candidate genes were validated using the area under the receiver operating characteristic (ROC) curve (AUC) to determine key feature genes. Finally, the relationship between key characteristic genes and immune cells was explored. FindingsA total of 54 DEGs were identified, with 26 down-regulated genes and 28 up-regulated genes. The GO function analysis revealed enrichment in processes such as establishment of protein localization to membrane and protein targeting to membrane. KEGG analysis showed enrichment in pathways like eutrophil degranulation, neutrophil activation involved in immune response, and regulation of cell morphogenesis. GSEA analysis highlighted enrichment in pathways like CTRL_VS_ACT_IL4 AND ANTI_IL12_12H_CD4_TCELL_DN. Through WGCNA and LASSO regression analysis, key characteristic genes MARCKSL1, TMTC4, and TTLL12 were identified, with AUC values greater than 0.8 in both the training and validation sets, and were found to be closely associated with immune cell infiltration. Conclusion & SignificanceMARCKSL1, TMTC4, and TTLL12 emerge as crucial genes in the process of PCA, showing significant relevance to immune cell infiltration.this study offers valuable clinical insights into the diagnosis and treatment of prostate cancer through the identification of specific genes associated with the disease.

genomics↗

bioRxiv2023

A long-context language model for the generation of bacteriophage genomes

AbstractInspired by the success of large language models, we develop a long-context generative model for genomes. Our multiscale transformer model was pre-trained on unannotated bacteriophage genomes with byte-level tokenization. We demonstrate the foundational capabilities of our model including the prediction of essential genes, genetic variant effects, regulatory element activity and taxonomy of unannotated sequences. Furthermore, it generates de novo sequences up to 96K base pairs, which contain functional regulatory elements and novel proteins with phage-related functions.

bioinformatics↗

bioRxiv2023

AI2BMD: efficient characterization of protein dynamics with ab initio accuracy

Biomolecular dynamics simulation is a fundamental technology for life sciences research, and its usefulness depends on its accuracy and efficiency. Classical molecular dynamics simulation is fast but lacks chemical accuracy. Quantum chemistry methods like density functional theory (DFT) can reach chemical accuracy but cannot scale to support large biomolecules. We introduce an AI-based ab initio biomolecular dynamics system (AI2BMD) that can efficiently simulate large biomolecules with ab initio accuracy. AI2BMD uses a protein fragmentation scheme and machine learning force field to achieve generalizable ab initio accuracy for energy and force calculations for various proteins comprising over 10,000 atoms. Compared to DFT, it reduces computational time by several orders of magnitude. With several hundred nanoseconds of dynamics simulations, AI2BMD demonstrated its capability of efficiently exploring the conformational space of peptides and proteins, deriving accurate 3J-couplings that match NMR experiments, and showing protein folding and unfolding tendencies. Furthermore, AI2BMD enables precise free energy calculations for protein folding, and the estimated melting temperatures are well aligned with experiments. AI2BMD could potentially complement wet-lab experiments, detect the dynamic processes of bioactivities, and enable biomedical research that is currently impossible to conduct.

bioinformatics↗

bioRxiv2023

Alterations in Cardiovascular and Cerebral Pulse Wave Velocity in 5XFAD Murine Model of Alzheimer's Disease

Alzheimers Disease (AD) is a global health issue, affecting over 6 million in the United States, with that number expected to increase as the aging population grows. As a neurodegenerative disorder that affects memory and cognitive functions, it is well established that AD is associated with cardiovascular risk factors beyond only cerebral decline. However, the study of cerebrovascular techniques for AD is still evolving. Here, we provide reproducible methods to measure impedance-based pulse wave velocity (PWV), a marker of arterial stiffness, in the systemic vascular (aortic PWV) and in the cerebral vascular (cerebral PWV) systems. Using aortic impedance and this relatively novel technique of cerebral impedance to comprehensively describe the systemic vascular and the cerebral vascular systems, we examined the sex-dependent differences in 5x transgenic mice (5XFAD) with AD under normal and high-fat diet, and in wild-type mice under a normal diet. Additionally, we validated our method for measuring cerebrovascular impedance in a model of induced stress in 5XFAD. Together, our results show that sex and diet differences in wildtype and 5XFAD mice account for very minimal differences in cerebral impedance. Interestingly, 5XFAD, and not wildtype, male mice on a chow diet show higher cerebral impedance, suggesting pathological differences. Opposingly, when we subjected 5XFAD mice to stress, we found that females showed elevated cerebral impedance. Using this validated method of measuring impedance-based aortic and cerebral PWV, future research may explore the effects of modifying factors including age, chronic diet, and acute stress, which may mediate cardiovascular risk in AD. New and NoteworthyHere, we presented a new technique which is an application of the concept of aortic impedance to determining cerebral impedance. While aortic PWV is typically utilized to study aortic stiffness, we also developed a technique of cerebral PWV to study cerebral vascular stiffness. This method may be useful in improving the rigor of studies that seek to have a dual focus on cardiovascular and cerebral function.

physiology↗

bioRxiv2023

Defining Mitochondrial Cristae Morphology Changes Induced by Aging in Brown Adipose Tissue

Mitochondria are required for energy production and even give brown adipose tissue (BAT) its characteristic color due to their high iron content and abundance. The physiological function and bioenergetic capacity of mitochondria are connected to the structure, folding, and organization of its inner-membrane cristae. During the aging process, mitochondrial dysfunction is observed, and the regulatory balance of mitochondrial dynamics is often disrupted, leading to increased mitochondrial fragmentation in aging cells. Therefore, we hypothesized that significant morphological changes in BAT mitochondria and cristae would be present with aging. We developed a quantitative three-dimensional (3D) electron microscopy approach to map cristae network organization in mouse BAT to test this hypothesis. Using this methodology, we investigated the 3D morphology of mitochondrial cristae in adult (3-month) and aged (2-year) murine BAT tissue via serial block face-scanning electron microscopy (SBF-SEM) and 3D reconstruction software for manual segmentation, analysis, and quantification. Upon investigation, we found increases in mitochondrial volume, surface area, and complexity and decreased sphericity in aged BAT, alongside significant decreases in cristae volume, area, perimeter, and score. Overall, these data define the nature of the mitochondrial structure in murine BAT across aging. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=144 SRC="FIGDIR/small/540609v2_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@96099borg.highwire.dtl.DTLVardef@50b4f4org.highwire.dtl.DTLVardef@983092org.highwire.dtl.DTLVardef@19ceb9b_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical Abstract:C_FLOATNO Overview of serial block facing-scanning electron microscopy (SBF-SEM) workflow, data segmentation, and 3D analysis of mitochondria using Amira software for murine interscapular BAT. C_FIG

biophysics↗

bioRxiv2023

Modeling cross-cell type cis-regulatory patterns via hierarchical deep neural network and gene expression prediction

Linking cis-regulatory sequences to target genes has been a long-standing challenge. In this study, we introduce CREaTor, an attention-based deep neural network designed to model cis-regulatory patterns for genomic elements up to 2Mb from target genes. Coupled with a training strategy that predicts gene expression from flanking candidate cis-regulatory elements (cCREs), CREaTor can model cell type-specific cis-regulatory patterns in new cell types without prior knowledge of cCRE-gene interactions or additional training. The zero-shot modeling capability, combined with the use of RNA-seq and ChIP-seq data only, allows for the readily generalization of CREaTor to a broad range of cell types. Evaluation reveals that CREaTor outperforms existing methods in capturing cCRE-gene interactions across various distance ranges in held-out cell types. Further analysis indicates that the superior performance of CREaTor can be attributed to its capacity to model regulatory interactions at multiple levels, including the higher-order genome organizations that govern cCRE activities as well as cCRE-gene interactions. Collectively, our findings highlight CREaTor as a powerful tool for systematically investigating cis-regulatory programs across various cell types, both in normal developmental processes and disease-associated contexts.

genetics↗

bioRxiv2023

A novel ground truth dataset enables robust 3D nuclear instance segmentation in early mouse embryos

For investigations into fate specification and cell rearrangements in time-lapse images of preimplantation embryos, automated 3D instance segmentation of nuclei and subsequent nuclear tracking are invaluable. Often, the images low signal-to-noise ratio and high voxel anisotropy and the nucleis dense packing and variable shapes limit the performance of many segmentation methods, while subsequent tracking of nuclear instances is complicated by low frame rates and sample movements. Supervised machine learning approaches can radically improve segmentation accuracy and enable easier tracking, but they often require large amounts of difficult-to-obtain annotated 3D data. Here we report a novel mouse line expressing near-infrared nuclear reporter H2B-miRFP720. H2B-miRFP720 is the longest wavelength nuclear reporter in mice and can be imaged simultaneously with other reporters with minimal overlap. We then generate a dataset, which we call BlastoSPIM, of 3D microscopy images of H2B-miRFP720-expressing embryos with ground truth for nuclear instance segmentation. Using BlastoSPIM, we benchmark the performance of seven convolutional neural networks and identify Stardist-3D as the most accurate instance segmentation method across preimplantation development. We then construct a complete pipeline for nuclear instance segmentation with our BlastoSPIM-trained Stardist-3D models and lineage tracking from the 8-cell stage to the end of preimplantation development (> 100 nuclei). Finally, we demonstrate BlastoSPIMs usefulness as pre-train data for related problems, both for a different imaging modality and for different model systems. BlastoSPIM, its corresponding Stardist-3D models, and documentation of the full associated analysis pipeline are available at: blastospim.flatironinstitute.org.

developmental biology↗

bioRxiv2022

JADE1 and HBO1/KAT7 proteins in the cytokinesis of epithelial cells. The role of PHD zinc fingers.

Members of the conserved subfamily, JADE1S and JADE1L isoforms, are expressed in epithelial cells, fibroblasts, and epithelial cell lining in vivo. JADE1 proteins interact with histone acetyl transferase HBO1 complex. The two consecutive PHD zinc fingers of JADE1 bind chromatin. We recently reported novel effects of JADE1S on cytokinesis progression. JADE1S depletion facilitated G2/M-to-G1 transition and increased polyploidy and aneuploidy. JADE1S over-expression arrested cells in late cytokinesis, an effect reversed by AURKB inhibitor. In late cytokinesis cells JADE1S protein localized to the midbody. Results suggested a JADE1S role in final abscission delay. Here we investigated the expression of JADE1 in the central spindle, interactions with HBO1, and the role of PHD fingers in late cytokinesis arrest. The midzone begins to assemble in anaphase and forms into a midbody in cytokinesis. The midbody structure connects two daughter cells and is thought to bear factors controlling the final abscission. We questioned whether, similar to established factors, JADE1S is targeted to the central spindle structures in anaphase. Indeed, in cells transitioning from mitosis to cytokinesis, JADE1S was sequentially targeted to early midzone, midbody flanking zone, and midbody. The step-wise increase of JADE1S expression in midzone and midbody of synchronously dividing cells suggested protein recruitment. The increase of late cytokinesis arrest caused by recombinant JADE1S correlated with increased expression in midbody. Spatial analysis of the members of the chromatin passenger complex, microtubule associated proteins, and centralspindlin, revealed transient co-localization with JADE1S and mapped JADE1S within the cytokinesis bridge. Deletion of the two PHD zinc fingers inactivated JADE1S ability to arrest cells in late cytokinesis but did not affect its midbody localization. Thus, PHD zinc fingers are required for JADE1S cytokinesis delay but not for midbody targeting. Recombinant HBO1 protein decreased the proportion of late cytokinesis cells, prevented late cytokinesis arrest by JADE1S as well as its midbody localization. Enzyme inactive HBO1 mutant recapitulated the wild type phenotype. The results demonstrate antagonistic relationship and suggest HBO1-mediated midbody dislocation of JADE1S. Our study supports the role of JADE1S in cytokinesis delay and implicates protein partners.

cell biology↗

bioRxiv2022

Structural and computational insights into the SARS-CoV-2 Omicron RBD-ACE2 interaction

Since SARS-CoV-2 Omicron variant (B.1.1.529) was reported in November 2021, it has quickly spread to many countries and outcompeted the globally dominant Delta variant in several countries. The Omicron variant contains the largest number of mutations to date, with 32 mutations located at spike (S) glycoprotein, which raised great concern for its enhanced viral fitness and immune escape[1-4]. In this study, we reported the crystal structure of the receptor binding domain (RBD) of Omicron variant S glycoprotein bound to human ACE2 at a resolution of 2.6 [A]. Structural comparison, molecular dynamics simulation and binding free energy calculation collectively identified four key mutations (S477N, G496S, Q498R and N501Y) for the enhanced binding of ACE2 by the Omicron RBD compared to the WT RBD. Representative states of the WT and Omicron RBD-ACE2 systems were identified by Markov State Model, which provides a dynamic explanation for the enhanced binding of Omicron RBD. The effects of the mutations in the RBD for antibody recognition were analyzed, especially for the S371L/S373P/S375F substitutions significantly changing the local conformation of the residing loop to deactivate several class IV neutralizing antibodies.

biophysics↗

bioRxiv2021

A simple method for in situ, multiplexed measurement of RNA degradation by flow cytometry

RNA degradation plays a major role in cellular function, but current methods for measuring RNA degradation require RNA purification or are low throughput. Here we show how a flow-FISH assay can be used for high-throughput, in situ measurement of RNA degradation without RNA purification. We demonstrate how this approach can be used to simultaneously measure RNA degradation rates of different RNA sequences in a single assay and explore how the assay can be used to examine the effect of cellular context on RNA degradation rates. This assay will be generally useful to quantitatively measure how natural and engineered biological function depends on RNA half-life.

synthetic biology↗