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Biology subjects

Wai, C. M.

Publications and source records attributed to Wai, C. M..

14 recordsLinked to original sources

Stromal Gasdermin D-mediated Pyroptosis Drives Maladaptive CD4⁺ T-cell Remodeling in Tet2-Deficient Hematopoiesis

An inflammatory bone marrow microenvironment is increasingly recognized as critical in myeloid disease evolution, yet how stromal inflammation interfaces with adaptive immunity remains poorly defined. Here, we show that stromal pyroptosis drives mutation-specific myeloid expansion by coordinating monocytic remodeling and CD4 T-cell activation. Genetic ablation of gasdermin D in the bone marrow stroma suppressed stromal pyroptosis and attenuated Tet2-deficient myeloid expansion. Tet2 deficiency skewed monocyte and macrophage differentiation toward an activated, antigen-presenting state that interacted with pyroptotic stromal cells to promote expansion of a distinct CD4 T-cell population. These cells expressed canonical T follicular helper markers (Bcl6, Cxcr5, Il21, and Cd40l) together with interferon-responsive and tissue-interaction programs, consistent with an inflammation-adapted TFH-like state. CD40L produced by these cells reinforced the expansion of Tet2-deficient monocytes and macrophages, establishing a feed-forward stromal-immune circuit. Disruption of this axis through stromal gasdermin D deficiency or CD40L blockade attenuated myeloid expansion in vivo. Consistent with these findings, patients with isolated TET2 loss-of-function mutations exhibited CD4 T-cell skewing and CD40L+ T-cell-rich tertiary lymphoid structures in the bone marrow. Together, these data identify a pyroptosis-dependent stromal-immune axis that links early myeloid inflammation to maladaptive remodeling of adaptive immunity and reveals a context-dependent therapeutic vulnerability in Tet2-deficient hematopoiesis.

cancer biology↗

Binary-SPA: A Reference-Free Method for Cell Annotation in High-Resolution Spatial Transcriptomics

Accurate cell type annotation remains a major challenge in high-resolution spatial transcriptomics analysis. Current approaches primarily rely on label transfer from single-cell RNA sequencing (scRNA-seq) reference datasets or marker-based annotation of transcriptionally defined clusters. While these methods are widely used, they have critical limitations. Label transfer approaches depend on the availability of a well-matched scRNA-seq reference. Marker-based annotation methods often suffer from accuracy and limited coverage. To address these challenges, we developed Binary-SPA, a computational framework for cell-type annotation of high-resolution spatial transcriptomics data. Binary-SPA performs annotation in two stages. First, a binary classification step identifies high-confidence cells using predefined marker sets. These confidently annotated cells are then used as an internal reference for anchor-based label transfer in the second stage. Binary-SPA outperforms conventional marker-based annotation approaches and existing label transfer methods across multiple high-resolution spatial transcriptomics platforms, preservation methods, and tissue types. While label transfer methods achieve high accuracy only when same-tissue scRNA-seq references are available, and decline substantially when relying on independent datasets, Binary-SPA matches this performance with 100% annotation coverage while eliminating the need for external reference data entirely. Binary-SPA demonstrates robust performance even in challenging specimens such as bone marrow biopsies, and validation against matched COMET protein expression data confirmed strong concordance between transcriptomic- and protein-based cell identities. Binary-SPA thus provides a robust, reference-free solution for spatial transcriptomics annotation with broad applicability to research and clinical specimens.

genomics↗

Machine Learning Identifies Distinct Treg-Mediated Remodeling in HFpEF Hearts Treated with Neonatal Mesenchymal Stem Cells and Their Secretome

BackgroundHeart failure with preserved ejection fraction (HFpEF) remains a major therapeutic challenge due to its complex pathophysiology and pronounced heterogeneity. Regenerative approaches using neonatal mesenchymal stromal cells (nMSCs) and their secretome (SEC) have shown promise in other heart failure contexts. ObjectivesHowever, the effect of these therapies in HFpEF, and the underlying molecular mechanisms and causal pathways remain poorly understood. MethodsHFpEF was established in two distinct murine models, followed by treatment with either nMSCs or SEC. Functional and histological endpoints were assessed. We developed a novel machine learning framework, VIPcell, which integrates data augmentation, Partial Least Squares (PLS) regression, and causal structure inference to identify genes causally linked to cardiac function using single-nucleus RNA sequencing (snRNA-seq) data. VIPcell was applied to heart tissues from treated HFpEF animals to uncover key regulators of cardiac remodeling. ResultsBoth nMSC and SEC therapies significantly improved diastolic function in two independent rodent HFpEF models. These improvements were associated with reduced inflammation, attenuated myocardial fibrosis, and improved exercise capacity. Intercellular communication analysis revealed widespread, system-level signaling in nMSC-treated hearts, compared to more localized endothelial-cardiomyocyte crosstalk in SEC-treated hearts. Causal inference via VIPcell suggested overlapping upstream regulators in both treatment groups, particularly genes involved in regulatory T cell (Treg) biology and immunomodulatory signaling pathways, including FOXO signaling, NLRP3 inflammasome inhibition, and Tie2 activation. In vivo validation confirmed selective expansion of Tregs following nMSC and SEC therapy. In vitro, nMSCs induced significantly greater Treg expansion compared to multiple adult stem cell types. Critically, chemical depletion of Tregs abrogated the therapeutic effects of both treatments, establishing Tregs as central mediators of diastolic function recovery in the HFpEF preclinical model. ConclusionsnMSC and SEC therapies improve diastolic function in HFpEF through distinct remodeling mechanisms converging on Treg-mediated immune modulation. VIPcell supported identification of causal regulators, highlighting Treg-related signaling as a key driver of myocardial recovery in HFpEF. These findings offer mechanistic insight into cellular therapies for HFpEF and support the development of targeted, Treg-focused interventions.

physiology↗

Multi-site Assessment of Methods for Cell Preservation Upstream of Single Cell RNA Sequencing

Single cell RNA sequencing (scRNA-seq) is a revolutionary technique to identify cell types and their molecular phenotype in heterogeneous biological specimens. ScRNA-seq typically requires fresh, high quality single cell suspensions that are processed immediately to preserve their molecular profiles. This presents a challenge for samples with long preparation times and prevents collection at remote sites lacking the required instrumentation for sample processing. Recently, several commercial assays have been released that enable sample preservation at the time of collection either via fixation or cryopreservation, allowing for sample processing to occur months after the initial collection. The Association of Biomolecular Research Facilities (ABRF) DNA Sequencing (DSRG) and Genomics Bioinformatics (GBiRG) Research Groups have undertaken a cross-platform, multi-site study to assess the performance and reproducibility of three platforms: a) 10x Genomics FLEX, b) Parse Bioscience Evercode WT v2 and c) Honeycomb Bio HIVE. Total leukocytes were isolated from a single healthy individual using the EasySep RBC depletion reagent. Cells were then characterized by collecting a 21-color flow cytometry dataset for reference and the remaining material was used for scRNA-seq procedures where different sites then processed either the fixed or cryopreserved cells for each method. We evaluated performance of each method across traditional scRNA-seq quality control metrics and analysis applications, including gene/transcript detection sensitivity, cell type discovery and annotation, and differential expression. We demonstrate that data from the methods tested can be effectively integrated and produce concordant results with regard to cell type annotation and relative abundance, though we observe platform-specific differences in the expression of a subset of genes. Preservation-based methods also show better retention of fragile granulocyte populations compared with fresh samples processed using the 10x 3 workflow. The improvements to preservation methods are changing the way research is conducted and our thorough investigation into the performance of each method provides a valuable resource to help scientists determine the most appropriate single cell preservation workflow given their sample collection logistics and laboratory infrastructure constraints.

genomics↗

Origin, domestication, and diversity of the climate resilient Ethiopian cereal teff

Teff (Eragrostis tef) is a climate-resilient cereal and staple crop in the Horn of Africa, cultivated by millions of smallholder farmers. Despite its cultural and nutritional significance, teff has limited genomic tools, constraining progress in yield improvement and trait optimization. Here, we assembled and resequenced the Teff Association Panel (TAP), a diverse set of 265 landraces and cultivars, to investigate the domestication history, genetic diversity, and agronomic traits of teff. Phylogenetic and population genetic analyses confirm Eragrostis pilosa as the direct progenitor of teff, with domestication likely occurring in the Tigray region of Ethiopia. We generated a high-quality reference genome for E. pilosa and found extensive chromosomal collinearity and minimal gene loss compared to teff, with teff-specific genes enriched in functions related to domestication traits. We identified signatures of selection across the teff genome and used genome-wide association studies (GWAS) to map loci associated with seed color and panicle architecture. Integrated GWAS, expression, metabolic, and comparative genomic analyses pinpoint a major seed color locus containing orthologs of the TT7 cytochrome P450 gene involved in flavonoid hydroxylation and the TT2 MYB transcription factor regulating proanthocyanidin biosynthesis. For panicle architecture, we identified a strong association near a teff ortholog of Dense and Erect Panicle 1 (DEP1), a key regulator of inflorescence structure in rice and sorghum. This suggests convergent selection on shared genetic pathways controlling panicle morphology across cereals. Our findings confirm the evolutionary origin of teff, identify key domestication loci, and highlight untapped genetic diversity among Ethiopian breeding lines. These genomic resources provide a foundation for accelerating teff improvement through molecular breeding and genome editing to enhance yield, resilience, and nutrition.

plant biology↗

Alcohol Use Disorder Associated Gene FNDC4 Alters Glutamatergic and GABAergic Neurogenesis

Large-cohort genome-wide association studies (GWAS) for alcohol use disorder (AUD) and AUD-related phenotypes have identified more than one hundred genetic loci. Functional study of those GWAS-identified loci might represent an important step toward understanding AUD pathophysiology. We found that genetic loci which are splicing quantitative trait loci (sQTLs) for the fibronectin III domain containing 4 (FNDC4) gene in the brain were identified by GWAS for both AUD drug treatment outcomes and AUD risk. However, FNDC4 function in the brain and how it might contribute to AUD pathophysiology remain unknown. In the present study, we characterized GWAS locus-associated FNDC4 splice isoforms, studies which suggested that FNDC4 alternative splicing results in loss-of-function for FNDC4. We also investigated FNDC4 function using CRISPR/cas9 gene editing, and the creation of human induced pluripotent stem cell (iPSC)-derived neural organoids joined with single-nucleus RNA sequencing. We observed that knock-out (KO) of FNDC4 resulted in a striking shift in the relative proportions of glutamatergic and GABAergic neurons in iPSC-derived neural organoids, suggesting a possible important role for FNDC4 in neurogenesis. We also explored potential mechanism(s) of FNDC4-dependent neurogenesis with results that suggested a role for FNDC4 in mediating neural cell-cell interaction. In summary, this series of experiments indicates that FNDC4 plays a role in regulating cerebral cortical neurogenesis in the brain. This regulation may contribute to the response to AUD pharmacotherapy as well as the effects of alcohol on the brain.

genomics↗

Cross-species predictive modeling reveals conserved drought responses between maize and sorghum

Drought tolerance is a highly complex trait controlled by numerous interconnected pathways with substantial variation within and across plant species. This complexity makes it difficult to distill individual genetic loci underlying tolerance, and to identify core or conserved drought responsive pathways. Here, we collected drought physiology and gene expression datasets across diverse genotypes of the C4 cereals sorghum and maize and searched for signatures defining water deficit responses. Differential gene expression identified few overlapping drought associated genes across sorghum genotypes, but using a predictive modeling approach, we found a shared core drought response across development, genotype, and stress severity. Our model had similar robustness when applied to datasets in maize, reflecting a conserved drought response between sorghum and maize. The top predictors are enriched in functions associated with various abiotic stress responsive pathways as well as core cellular functions. These conserved drought response genes were less likely to contain deleterious mutations than other gene sets, suggesting that core drought responsive genes are under evolutionary and functional constraints. Our findings support a broad evolutionary conservation of drought responses in C4 grasses regardless of innate stress tolerance, which could have important implications for developing climate resilient cereals. Significance StatementDrought is a complex and variable stress that is difficult to quantify and link to underlying mechanisms both within and across species. Here, we developed a predictive model to classify drought stress responses in sorghum and identify important features that are responsive to water deficit. Our model has high predictive accuracy across development, genotype, and stress severity, and the top features are enriched in genes related to classical stress responses and have functional and evolutionary conservation. We applied this sorghum trained model to maize, and observed similar predictive accuracy of drought responses, supporting transfer learning across plant species. Our findings suggest there are deeply conserved drought responses across C4 grasses that are unrelated to tolerance.

plant biology↗

The complex octoploid Craterostigma genome and tissue-specific mechanisms underlying desiccation tolerance

Resurrection plants can survive prolonged anhydrobiosis, and desiccation tolerance has evolved recurrently across land plants as a common adaptation for survival in regions with seasonal drying. Craterostigma plantagineum was among the first model resurrection plants, and many of the genetic mechanisms underlying desiccation tolerance were discovered in this important system. Here, we analyzed the complex, octoploid Craterostigma (C. plantagineum) genome and surveyed spatial and temporal expression dynamics to identify genetic elements underlying desiccation tolerance. Homeologous genes within the Craterostigma genome have divergent expression profiles, suggesting the subgenomes contribute differently to desiccation tolerance traits. The Craterostigma genome contains almost 200 tandemly duplicated early light induced proteins (ELIPs), a hallmark trait of desiccation tolerance, with massive upregulation under water deficit. We identified a core network of desiccation responsive genes across all tissues but observed almost entirely unique expression dynamics in each tissue during recovery. Roots and leaves have differential responses related to light and photoprotection, autophagy, and nutrient transport, reflecting their divergent functions. Our findings highlight a universal set of likely ancestral desiccation tolerance mechanisms to protect cellular macromolecules under anhydrobiosis, with secondary adaptations related to tissue function.

plant biology↗

Unique molecular signatures sustained in circulating monocytes and regulatory T cells in Convalescent COVID-19 patients

Over two years into the COVID-19 pandemic, the human immune response to SARS-CoV-2 during the active disease phase has been extensively studied. However, the long-term impact after recovery, which is critical to advance our understanding SARS-CoV-2 and COVID-19-associated long-term complications, remains largely unknown. Herein, we characterized multi-omic single-cell profiles of circulating immune cells in the peripheral blood of 100 patients, including covenlesent COVID-19 and sero-negative controls. The reduced frequencies of both short-lived monocytes and long-lived regulatory T (Treg) cells are significantly associated with the patients recovered from severe COVID-19. Consistently, sc-RNA seq analysis reveals seven heterogeneous clusters of monocytes (M0-M6) and ten Treg clusters (T0-T9) featuring distinct molecular signatures and associated with COVID-19 severity. Asymptomatic patients contain the most abundant clusters of monocyte and Treg expressing high CD74 or IFN-responsive genes. In contrast, the patients recovered from a severe disease have shown two dominant inflammatory monocyte clusters with S100 family genes: S100A8 & A9 with high HLA-I whereas S100A4 & A6 with high HLA-II genes, a specific non-classical monocyte cluster with distinct IFITM family genes, and a unique TGF-{beta} high Treg Cluster. The outpatients and seronegative controls share most of the monocyte and Treg clusters patterns with high expression of HLA genes. Surprisingly, while presumably short-ived monocytes appear to have sustained alterations over 4 months, the decreased frequencies of long-lived Tregs (high HLA-DRA and S100A6) in the outpatients restore over the tested convalescent time (>= 4 months). Collectively, our study identifies sustained and dynamically altered monocytes and Treg clusters with distinct molecular signatures after recovery, associated with COVID-19 severity.

immunology↗

Regulatory dynamics distinguishing desiccation tolerance strategies within resurrection grasses

Desiccation tolerance has evolved recurrently in grasses using two unique strategies to mitigate photooxidative damage under anhydrobiosis. The grass Oropetium thomaeum protects and retains chlorophyll, thylakoids, and the photosynthetic apparatus during desiccation (Homoiochlorophyly), while Eragrostis nindensis degrades and resynthesizes these components under desiccation and rehydration (Poikilochlorophyly). Here, we surveyed chromatin architecture and gene expression during desiccation in these two closely related species to identify regulatory dynamics underlying the distinct desiccation tolerance strategies in grasses. In both grasses, we observed a strong association between nearby chromatin accessibility and gene expression in desiccated tissues compared to well-watered, reflecting an unusual chromatin stability under anhydrobiosis. Integration of chromatin accessibility (ATACseq) and expression data (RNAseq) revealed a core desiccation response across these two grasses including many genes with binding sites for the core seed development transcription factor ABI5. O. thomaeum had a unique set of desiccation induced genes and regulatory elements associated with photoprotection, pigment biosynthesis, and response to high light, reflecting its adaptation of homoiochlorophyly. A tandem array of early light induced proteins (ELIPs) had massive shifts in gene expression and chromatin openness under desiccation in only O. thomaeum, and ELIPs acquired a novel desiccation related cis-regulatory motif, reflecting regulatory neofunctionalization during the evolution of desiccation tolerance. Together, our results highlight the complex regulatory and expression dynamics underlying desiccation tolerance in grasses.

plant biology↗

Intertwined signatures of desiccation and drought tolerance in grasses

Grasses are among the most resilient plants and some can survive prolonged desiccation in semi-arid regions with seasonal rainfall. This vegetative desiccation tolerance has arisen independently multiple times within the grass family, but the genetic elements that differentiate desiccation tolerant and sensitive grasses are largely unknown. Here we leveraged comparative genomic approaches with the resurrection grass Eragrostis nindensis and the closely related desiccation sensitive cereal Eragrostis tef to identify changes underlying desiccation tolerance. We extended the analyses to include the grasses maize, sorghum, rice, and the model desiccation tolerant grass Oropetium thomaeum to identify broader evolutionary conservation and divergence. We identified changes in chromatin architecture and expression dynamics related to desiccation in E. nindensis. It was previously hypothesized that transcriptional re-wiring of seed desiccation pathways confers vegetative desiccation tolerance. We demonstrate that the majority of seed dehydration related genes show similar expression patterns in leaves of desiccation tolerant and sensitive species during dehydration. However, we discovered a small set of orthologs with expression specific to leaves of desiccation tolerant species, and seeds of sensitive species. This supports a nuanced role of seed-related genes where many overlap with typical drought responses but some crucial genes are desiccation specific in resurrection plants.

plant biology↗

Exceptional subgenome stability and functional divergence in allotetraploid teff, the primary cereal crop in Ethiopia

Teff (Eragrostis tef) is a cornerstone of food security in the Horn of Africa, where it is prized for stress resilience, grain nutrition, and market value. Despite its overall importance to small-scale farmers and communities in Africa, teff suffers from low production compared to other cereals because of limited intensive selection and molecular breeding. Here we report a chromosome-scale genome assembly of allotetraploid teff (variety Dabbi) and patterns of subgenome dynamics. The teff genome contains two complete sets of homoeologous chromosomes, with most genes maintained as syntenic gene pairs. Through analyzing the history of transposable element activity, we estimate the teff polyploidy event occurred [~]1.1 million years ago (mya) and the two subgenomes diverged [~]5.0 mya. Despite this divergence, we detected no large-scale structural rearrangements, homoeologous exchanges, or bias gene loss, contrasting most other allopolyploid plant systems. The exceptional subgenome stability observed in teff may enable the ubiquitous and recurrent polyploidy within Chloridoideae, possibly contributing to the increased resilience and diversification of these grasses. The two teff subgenomes have partitioned their ancestral functions based on divergent expression patterns among homoeologous gene pairs across a diverse expression atlas. The most striking differences in homoeolog expression bias are observed during seed development and under abiotic stress, and thus may be related to agronomic traits. Together these genomic resources will be useful for accelerating breeding efforts of this underutilized grain crop and for acquiring fundamental insights into polyploid genome evolution.

plant biology↗

Genomic footprints of repeated evolution of CAM photosynthesis in tillandsioid bromeliads

The adaptive radiation of Bromeliaceae (pineapple family) is one of the most diverse among Neotropical flowering plants. Diversification in this group was facilitated by several key innovations including the transition from C3 to CAM photosynthesis. We used a phylogenomic approach complemented by differential gene expression (RNA-seq) and targeted metabolite profiling to address the patterns and mechanisms of C3/CAM evolution in the extremely species-rich bromeliad genus Tillandsia and related taxa. Evolutionary analyses at a range of different levels (selection on protein-coding genes, gene duplication and loss, regulatory evolution) revealed three common themes driving the evolution of CAM: response to heat and drought, alterations to basic carbohydrate metabolism, and regulation of organic acid storage. At the level of genes and their products, CAM/C3 shifts were accompanied by gene expansion of a circadian regulator, re-programming of ABA-related gene expression, and adaptive sequence evolution of an enolase, effectively linking carbohydrate metabolism to ABA-mediated stress response. These changes include several pleiotropic regulators, which facilitated the evolution of correlated adaptive traits during a textbook adaptive radiation.

genomics↗

A chromosome scale assembly of the model desiccation tolerant grass Oropetium thomaeum

Oropetium thomaeum is an emerging model for desiccation tolerance and genome size evolution in grasses. A high-quality draft genome of Oropetium was recently sequenced, but the lack of a chromosome scale assembly has hindered comparative analyses and downstream functional genomics. Here, we reassembled Oropetium, and anchored the genome into ten chromosomes using Hi-C based chromatin interactions. A combination of high-resolution RNAseq data and homology-based gene prediction identified thousands of new, conserved gene models that were absent from the V1 assembly. This includes thousands of new genes with high expression across a desiccation timecourse. The sorghum and Oropetium genomes have a surprising degree of chromosome-level collinearity, and several chromosome pairs have near perfect synteny. Other chromosomes are collinear in the gene rich chromosome arms but have experienced pericentric translocations. Together, these resources will be useful for the grass comparative genomic community and further establish Oropetium as a model resurrection plant.

plant biology↗