Biology subjects

Le, T.

Publications and source records attributed to Le, T..

At least 19 recordsLinked to original sources

bioRxiv2026

Cardiomyocyte Perm1 sustains cardiac bioenergetic reserve and exercise capacity

Objective: Mitochondrial oxidative capacity in striated muscle is governed by the PGC-1/ERR transcriptional axis, which controls not only steady-state respiration but the capacity to expand energy production when demand rises. Whether this reserve function requires dedicated downstream effectors, and whether its loss is detectable at rest, remains unclear. We asked whether Perm1, a striated muscle-specific PGC-1/ERR-induced regulator, is required cell-autonomously for cardiac bioenergetic reserve. Methods: We generated cardiomyocyte-specific Perm1 knockout mice using alphaMHC-nCre, complemented by an adult tamoxifen-inducible alphaMHC-MerCreMer model, and assessed cardiac development, structure, and function longitudinally through 12 months of age in both sexes. We evaluated mitochondrial function by high-resolution respirometry, transmission electron microscopy, and molecular profiling. We tested energetic capacity under load by treadmill exercise with tissue ATP quantification and by beta-adrenergic stimulation of cultured neonatal cardiomyocytes. Results: Perm1 deletion did not perturb embryonic cardiac development, and neither constitutive nor adult-onset deletion impaired cardiac structure, systolic function, or diastolic function through 12 months. Despite this preserved resting phenotype, mitochondrial respiration was reduced by 20 - 25% across complex I- and complex I+II-supported conditions, without changes in citrate synthase activity, mtDNA copy number, or OXPHOS subunit abundance. Instead, the MICOS components IMMT (MIC60) and CHCHD3 (MIC19) were selectively reduced, and mitochondrial subpopulations shifted toward fewer subsarcolemmal and more interfibrillar mitochondria, with unchanged total mitochondrial density. Functionally, Perm1-deficient mice of both sexes showed reduced treadmill capacity at 6 and 12 months and failed to maintain cardiac ATP during exercise at a submaximal workload, while skeletal muscle ATP and plasma lactate were unaffected. This deficit was cardiomyocyte-autonomous: beta-adrenergic stimulation increased ATP content in control cardiomyocytes, but Perm1 knockdown reduced this response. Conclusions. Perm1 is a cardiomyocyte-intrinsic determinant of bioenergetic reserve, dispensable for resting cardiac function but required to expand ATP production under increased demand. These findings identify a mode of metabolic regulation that is invisible to resting functional phenotyping.

physiology↗

bioRxiv2026

Rank-Preserving Alignment Enables Cross-platform Learning and Phenotyping for Single-Cell and Spatial Proteomics

Decades of antibody-based protein profiling have generated valuable cohorts across evolving cytometry, sequencing and spatial imaging platforms. Differences in marker coverage, signal scale and antibody performance hinder joint analysis and reuse of cohorts with long-term clinical follow-up. Widely used RNA-based integration methods prioritize shared embeddings rather than directly comparable protein measurements. To fill in the gap, we developed RAMP (Rank-preserving Alignment of Multi-platform Proteomics), an unsupervised framework that aligns shared proteins without cell-type annotations. It combines sample-specific anchoring and cross-platform cell matching with bounded monotone transformations. The corrected values retain each protein marker's expression order across cells within a sample. Across seven integration tasks, RAMP achieved the strongest overall balance of batch correction and cell-type preservation. RAMP also improved marker-threshold transfer while preventing expression-order reversals observed with some comparison methods. These reversals made cell types with originally high marker expression appear lower-expressing than other populations. Such overcorrection can mislead cell identification and protein comparisons, even when the integrated embedding shows improved dataset mixing. By preserving each marker's expression order within a sample, RAMP protects the relationships needed to interpret normalized protein measurements. To investigate whether better harmonized inputs improve downstream learning, we used linear, nearest-neighbor and small neural-network models as a controlled, small-scale testbed. This approach tests an input quality question relevant to proteomic foundation models without undertaking large-scale pretraining. Under matched supervision, RAMP improved cross-platform annotation across all three model families and improved missing-marker prediction over unaligned inputs. These gains demonstrate the value of harmonized inputs for predictive learning and motivate evaluating RAMP as preprocessing for proteomic foundation models. In bone marrow, we used high-quality single-cell protein measurements to impute the failed CODEX CD19 channel, recovering B-cell spatial distributions. The completed panel improved B-cell separation from natural killer cells in the joint embedding. In melanoma, a proliferating CD8 T-cell state near tumor cells was associated with longer survival. Transfer such a spatial information to CITE-seq connected tumor proliferation and infiltration state to an adhesion and activation program involving PD-1, LFA-1 and CD2. In lung cancer, we used single-cell CyTOF measurements to predict unmeasured HLA-ABC states in vascular cancer-associated fibroblasts profiled by spatial imaging mass cytometry (IMC). Higher predicted scores were associated with lower immune-cell fractions and worse disease-free survival in the IMC cohort. In head and neck cancer, transferring a fibroblast/macrophage spatial niche score to CITE-seq identified a CD39/TIGIT-associated CD8 T-cell phenotype. Protein and RNA profiles supported checkpoint-associated features, and transfer back to CODEX showed correspondence with measured LAG3. RAMP enables existing single-cell and spatial cohorts to support new discoveries by connecting molecular programs, tissue organization and clinical outcomes across platforms.

bioinformatics↗

bioRxiv2026

Cyclin B phosphorylation by PKA safeguards the G2-arrest in vertebrate oocytes

Entry into meiotic M-phase in vertebrate oocytes requires activation of Cdk1-Cyclin B, which is restrained by the cAMP-PKA signalling during prophase arrest. Although Cdc25C and ARPP19 are established PKA substrates in this context, they do not fully explain how PKA represses Cdk1 activation. Here we used Turbo-ID approach using catalytic PKA (PKAc) as the bait to identify substrates in Xenopus laevis oocytes. Unexpectedly, this screen identified Cyclin B2, the regulatory subunit of Cdk1, as a PKA-proximal protein. Although Cyclin B2 does not stably associate with PKAc, it harbors a conserved PKA motif around Serine 271 within Cyclin Box 2. We show that PKAc phosphorylates Cyclin B2 at S271 both in vivo and in vitro. Functionally, a phosphomimic Cyclin B2 mutant at this site fails to induce meiotic maturation and Cdk1 activation. S271 phosphorylation neither alters Cyclin B2 stability nor its binding to Cdk1 in vivo. S271 phosphorylation does not impair Cdk1 activity toward a single-site substrate, such as PP1, but slows Cyclin-B-dependent multisite phosphorylation of Cdc25C, a key regulator of the Cdk1 activation network. These findings identify Cyclin B as a direct and conserved PKA target, revealing the mechanistic link between PKA activity and Cdk1-Cyclin B repression that maintains oocyte prophase arrest.

cell biology↗

bioRxiv2026

A generalizable speech neuroprosthesis

Intracortical brain-computer interfaces (BCIs) can restore communication to people with vocal tract paralysis by decoding cortical activity during attempted speech into text. State-of-the-art systems pairing neural-to-phoneme decoders with phoneme-to-word language models have achieved word error rates (WERs) as low as 1%, but only after collecting thousands of sentences of training data. Shortening the data collection process would facilitate scaling this new technology by reducing the time from device implant to high-accuracy communication. Here we introduce a transformer-based decoder model trained jointly across six intracortical speech BCI participants. For every participant -- regardless of sex, disease etiology, or attempted speaking strategy -- a multi-user model decoded speech more accurately (over 50% lower relative WER on average) than models trained on individual users data. Notably, the multi-user model could be finetuned on fewer than 200 sentences from a held-out user to achieve a WER below 7%. These results reveal how to pool intracortical data across people to yield more accurate, generalizable, and rapidly-deployable decoding models.

bioengineering↗

bioRxiv2026

Can exercise training improve mitochondrial thermal responses in rainbow trout cardiomyocytes?

1.Climate-driven warming is challenging the physiological limits of aquatic ectotherms, with cardiac performance emerging as one of the key determinants of thermal tolerance. Cardiac function relies on mitochondrial ATP production, and mitochondrial dysfunction has been linked to cardiac failure at critical temperatures. However, mitochondria are plastic and may represent a target for interventions aimed at improving thermal tolerance in fish. Exercise training improves whole-animal performance in fish, including cardiac thermal performance, and improves mitochondrial function in other taxa. However, its effects on the thermal sensitivity of cardiac mitochondria remain unknown. This study investigated whether exercise-training alters cardiac mitochondrial performance at optimal and critical temperatures in rainbow trout Oncorhynchus mykiss. Farmed rainbow trout were subjected to a four-week exercise training regime, while control fish remained under standard rearing conditions. Cardiac mitochondrial respiration was assessed in permeabilised heart fibres at 16{degrees}C (optimal growth temperature) and 26{degrees}C (temperature associated with cardiac arrhythmia) and several biochemical and nuclear indicators were measured. No significant differences were detected between treatments for any measured variable. However, trained fish generally exhibited higher maximal respiratory capacities and respiratory control ratios, particularly at the elevated temperature, suggesting subtle improvements in mitochondrial function despite considerable inter-individual variation. Temperature influenced mitochondrial performance, increasing proton leak and reducing coupling efficiency. These findings demonstrate that cardiac mitochondrial function is thermally sensitive and represents a potential targeted for improving thermal resilience in aquaculture species. 2. Summary StatementExercise training did not significantly alter cardiac mitochondrial function in rainbow trout but small improvements were observed under heat stress, suggesting modest improvements in mitochondrial function despite considerable inter-individual variation.

physiology↗

bioRxiv2026

GSPlot: Visualizing gene set similarity in enrichment results

SummaryInterpretation of gene set enrichment analyses is challenging when the results contain many sets. Similarities in those sets can be used for complexity management. We present GSPlot, a web-based application for visualizing enrichment results of large gene set collections. GSPlot displays gene sets in a two-dimensional space where distances reflect the similarity of their enriched content. This view brings a higher-level structure to the enrichment results and simplifies their interpretation and communication. Availability and implementationGSPlot is available at https://gsplot.cs.umb.edu/. Source code is available at https://github.com/PathwayAndDataAnalysis/gsplot.

Systems Biology↗

bioRxiv2026

A multimodal perturbation atlas defines the phenotypic resolution of cellular morphology.

Modeling cellular behavior requires measurements that capture how cells evolve across time, environments, and interventions. Microscopy is uniquely suited to this goal: it is non-destructive and can be applied to living cells in their native context. Yet its phenotypic resolving power remains incompletely characterized relative to molecular assays. Here, we present a multimodal perturbation atlas of 1,000 pooled CRISPR knockouts in A549 cells, profiled by fluorescence microscopy (42 live, 13 fixed markers), label-free quantitative phase imaging of the same live cells (at single timepoints), and single-cell RNA sequencing (scRNA-seq). We develop deep learning frameworks to interpret the rich cell-biological signatures in these ~65M single-cell profiles. At matched reagent cost, phase imaging exceeds the phenotypic resolution of both fluorescence imaging and scRNA-seq, and more reliably recovers higher-order pathway organization. These results establish intrinsic morphology as a high-precision readout of cellular state, and lay a foundation for live-cell profiling of phenotypic trajectories.

systems biology↗

bioRxiv2026

Rapid vaccine induction of macaque HIV-1 V2 Apex broadly neutralizing antibodies with immunogenetic signatures that are potentially translatable to humans

Due to the complex biology of HIV-1 broadly neutralizing antibodies (bnAbs), HIV-1 vaccines must target unmutated germline precursor antibodies with B cell receptors that have the appropriate specificity and genetic features to develop neutralization breadth. Previous work has shown that immunization or infection in macaques primes unmutated precursor antibodies that target the broadly neutralizing epitope composed of the second variable region and proximal glycans (termed V2-apex site) of HIV-1 envelope (Env). Macaque V2-apex bnAb precursors elicited thus far have homogeneous usage of the second reading frame of a diversity (D) gene found only in macaques, calling into question whether HIV-1 Env immunogens can elicit only this canonical, macaque-specific V2-apex antibody response, limiting human vaccination success. Here, we show that vaccination of rhesus macaques with Env conjugated to a ferritin nanoparticle (OPT4-scNP) rapidly elicited V2-apex bnAbs with distinct D gene segment usage and motifs that are not restricted only to macaques. After two priming immunizations, V2-apex antibodies with non-canonical HCDR3s exhibited greater neutralization potency and breadth than V2-apex antibodies with previously observed HCDR3 motifs. Following sequential boosting immunizations, a V2-apex bnAb lineage with a novel HCDR3-encoded EDGED motif increased its neutralization breadth, including neutralization of viral isolates bearing the N130 glycan, which shields the V2-apex from recognition. High-resolution structures of two members of this V2-apex bnAb lineage, called DH2050, defined a novel binding mode in which it used its EDGED motif to contact the C-strand peptide and the N160 glycan within the V2-apex site. Altogether, we define a novel bnAb binding mode to the V2 Apex and demonstrate that HIV-1 Env sequential vaccination elicits V2-apex bnAbs with immunogenetic signatures that are potentially translatable to the human immune system.

immunology↗

bioRxiv2026

Digital Atlases to Unlock the Potential of Brain Biorepository Tissues for Interdisciplinary Research

Human brain tissue preserved in biorepositories is foundational for the structural, cellular, and biomolecular research necessary for a mechanistic understanding of neurological diseases. Realizing the research potential of these valuable resources requires well-characterized research-relevant tissue that can be efficiently identified by investigators and incorporated into the conceptual and computational frameworks of interdisciplinary research. Several large-scale efforts to improve research reliability and reproducibility have sought to characterize and annotate the processes by which these samples are collected, yet limited progress has been made on standardizing spatial information for these samples. Biorepositories systematically collect brain tissue according to a brain sampling protocol (BSP) that differs between institutions, yet explicit spatial information regarding the samples may not be documented in standard operating procedures (SOPs). The amount of anatomical location details available to investigators are inconsistent across biorepositories and typically lack sufficient anatomical precision to ensure correspondence with samples from other biorepositories or research relevant brain regions specified by neuroimaging, functional, or disease-susceptibility criteria. Here, we introduce a pipeline for developing a Spatial Atlas for Mapping Protocol Locations of Ex vivo Samples (SAMPLES), which uses a neuroimaging framework to create a 3D representation of a BSP through a metrically precise digital instantiation of the procedures for brain extraction, segmentation, slicing, and sampling on a modern digital brain template. SAMPLES incorporates modern neuroinformatics conventions to create explicit 3D labels of BSP-defined samples that can be interactively visualized with freely available neuroimaging software. We illustrate the pipeline by developing an atlas for the protocol from the University of Washington BioRepository and Integrated Neuropathology laboratory (UW BRaIN SAMPLES). By providing an explicit, computable reference, SAMPLES atlases can support the efficient identification, referencing, and utilization of postmortem samples for interdisciplinary research. These capabilities enable biorepository workflows, data harmonization across biorepositories, and integration with antemortem neuroimaging.

neuroscience↗

bioRxiv2026

A digital twin of pancreatic islet differentiation predicts cell fate

The controlled generation of mature stem cell-derived islets (SC-islets) remains a barrier to scalable cell therapy for diabetes. Here, we develop a predictive digital model defining the cell-state-specific regulatory logic governing fate specification during human SC-islet differentiation. We integrate 400,603 cells from 9 original single-cell multiomic datasets and 52 public single-cell RNA-seq and ATAC-seq datasets across 4 cell lines and 7 differentiation protocols. This model resolves transcriptional and chromatin accessibility dynamics while enabling time-resolved inference and in silico perturbation of cell-state-specific gene regulatory networks. We identify regulators across trajectories from endoderm progenitors to pancreatic exocrine and endocrine lineages, nominating new candidate regulators. Among these candidates, we validate previously unreported roles for STAT1 as an exocrine driver and ZEB1 as a dynamic regulator of early endocrine specification and later off-target serotonergic islet cell fate. This work provides an experimentally supported predictive framework and an interactive resource comprising 1,116 simulations to prioritize transcription factors and intervention windows for refining SC-islet differentiation.

cell biology↗

bioRxiv2026

Molecular pixelation of the CAR T cell surface proteome

Immunotherapies using CAR T cells are revolutionizing B-cell acute lymphoblastic leukemia treatments. However, the majority of patients remain unresponsive, and chronic stimulation of T cells is a common contributor that reduces effector function and persistence. We apply Molecular Pixelation, a recently developed single-cell technology for characterizing cellular surface proteomes, to determine characteristic topological surface-based proteomic signatures of CAR T cell exhaustion. We analyze 76 surface proteins on 8504 CAR T cells at a single-cell level, collected from three donors and either stimulated once or repeatedly, six times over two weeks. The abundances, polarizations, and colocalizations of surface proteins can each distinguish CAR T cells that were stimulated acutely or chronically, and all but one marker with polarization changes increased in polarization. These data also reveal disrupted adhesion signatures of protein colocalization in the peripheral supramolecular activation complex (pSMAC) and increased CD37/CD82 colocalization after chronic stimulation. These Molecular Pixelation results convey new spatial signatures for proteomic polarization and colocalization on the cell surface that represent new cell-state axes for immunology and systems biology.

systems biology↗

bioRxiv2026

Single-cell Tree-based Model for Genomic-Disease Association

The rapid maturation of single-cell multi-omics technologies has enabled unprecedented resolution for mapping disease states and identifying disease-associated biomarkers. In practice, biomarkers are often discovered through differential detection that treat genomic features as independent contributors to phenotypes, while the combinatorial interactions that drive clinical outcomes remain a practical challenge. We present scanCT (single-cell analysis of Clinical Tree), a tree-based framework that identifies groups of genomic features associated with distinct disease phenotypes in a highly interpretable manner. scanCT uses an unbiased, model-based variable-selection procedure for data-driven split selection, which is important for handling the diverse distributional properties of single-cell data across modalities. The tree architecture captures feature interaction effects, and the association modeling enables adjustment for confounding factors. We apply scanCT to longitudinal single-cell multi-omics COVID-19 datasets spanning diverse clinical outcomes and multiple time points per patient. scanCT identifies phenotype-specific gene and protein markers while accounting for age and sex, and it reveals interpretable synergistic marker combinations that help explain differences in patient clinical phenotypes.

bioinformatics↗

bioRxiv2025

In Vitro Evidence to Support Amphotericin B and Flucytosine Combination Therapy for Talaromycosis

BackgroundTalaromyces marneffei causes talaromycosis, a life-threatening fungal disease with limited treatment options. The standard treatment of amphotericin B (AmB) induction followed by itraconazole consolidation still results in 15% to 30% mortality. This study aimed to investigate the potential of AmB and flucytosine (5FC) combination therapy to enhance antifungal activity. MethodsThe in vitro antifungal activity of AmB and 5FC alone and in combination against 60 T. marneffei clinical isolates was evaluated using a validated colorimetric antifungal susceptibility assay and the checkerboard method. The minimum inhibitory concentration (MIC) was defined as the lowest drug concentration inhibiting [≥] 95% fungal growth (MIC95) for both AmB and 5FC. The combination effect between AmB and 5FC against T. marneffei was determined using fractional inhibitory concentration index. Combination effects were further tested using a time-kill assay. ResultsThe MIC95 was 0.25 - 2 g/mL (geometric mean [GM] 0.68 g/mL) for AmB, and 0.03 - 0.5 g/mL (GM 0.28 g/mL) for 5FC. Full synergy was observed in 4 isolates (7%), and indifference was observed in the remaining 56 isolates (93%). The time-kill experiments revealed a concentration-dependent fungicidal activity of AmB, and concentration-independent fungistatic effect of 5FC. Synergy between AmB and 5FC was confirmed, showing greater than 2-log10 reduction in colony forming units when used in combination. No antagonism was observed. ConclusionsOur study demonstrated in vitro evidence of synergistic activity between AmB and 5FC against T. marneffei, providing the evidence to support in vivo and clinical trial testing of AmB and 5FC combination therapy, and dosing reduction strategies of 5FC. Lay SummaryThis study demonstrated in vitro synergy between amphotericin B and flucytosine against Talaromyces marneffei, providing the proof of concept to test this antifungal combination in a clinical trial of talaromycosis.

pharmacology and toxicology↗

bioRxiv2025

Rlim coordinates diurnal regulation of food intake and thermogenesis

Energy homeostasis in mice is maintained through coordinated activity among hypothalamic nuclei that regulate food intake and thermogenesis. These processes must adapt to the sleep-wake cycle, yet the underlying pathways, cell types, and molecular mechanisms governing their diurnal regulation remain poorly understood. We show that mice lacking the E3 ubiquitin ligase Rlim are lean and resistant to diet-induced obesity, owing to reduced food intake and enhanced brown adipose tissue (BAT) thermogenesis. We identify GABAergic neurons in the suprachiasmatic nucleus (SCN)--components of the central circadian clock--as mediators of these effects. Specifically, Rlim in RIP-Cre+ neurons governs daily thermogenic rhythms, while Rlim in vasoactive intestinal peptide (VIP)-expressing neurons modulates diurnal feeding behavior. Thus, Rlim is a key regulator of diurnal rhythms controlling energy balance.

physiology↗

bioRxiv2025

Amira: gene-space de Bruijn graphs to improve the detection of AMR genes from bacterial long reads

Accurate detection of antimicrobial resistance (AMR) genes is essential for the surveillance, epidemiology and genotypic prediction of AMR. This is typically done by generating an assembly from the sequencing reads of a bacterial isolate and running AMR gene detection tools on the assembly. However, despite advances in long-read sequencing that have greatly improved the quality and completeness of bacterial genome assemblies, assembly tools remain prone to large-scale errors caused by repeats in the genome, leading to inaccurate detection of AMR gene content and consequent impact on resistance prediction. In this work we present Amira, a tool to detect AMR genes directly from unassembled long-read sequencing data. Amira leverages the fact that multiple consecutive genes lie within a single read to construct gene-space de Bruijn graphs where the k-mer alphabet is the set of genes in the pan-genome of the species under study. Through this approach, the reads corresponding to different copies of AMR genes can be effectively separated based on the genomic context of the AMR genes, and used to infer the nucleotide sequence of each copy. Amira achieves significant improvements in genomic copy number recall and nucleotide accuracy, demonstrated through objective simulations and comparison with alternative read and assembly-based methods on samples with manually curated truth assemblies. Applied to a dataset of 32 Escherichia coli samples with diverse AMR gene content, Amira achieves a mean genomic-copy-number recall of 98.4% with precision 97.9% and nucleotide accuracy 99.9%. Finally, we show that Amira consistently detects more true AMR genes across all E. coli, K. pneumoniae and E. faecium nanopore datasets from the ENA (n=8580, 2448 and 415 respectively) than an assembly-based approach.

bioinformatics↗

bioRxiv2025

Cell shapes decode molecular phenotypes in image-basedspatial proteomics

The diversity of cellular and tissue structures can arise from a few basic cell shapes, which undergo various transformations based on biophysical constraints on cytoskeletal organization. While cellular geometry has been linked with selected biological processes such as polarity, signaling or morphogenesis, the orchestration of the whole proteome in association to cell shape is still poorly understood. In this study, using more than 1 million images of single cells stained for 11,998 proteins across 10 cell lines in the Human Protein Atlas database, we performed an integrated analysis of organelle, pathway and single protein levels in association to a 2D cellular shapespace. We found that cell and nuclear shapes across cell lines exist in a shared continuum. We also found that the subcellular organelle topology varies across cell lines, but remains robust within each cell lines shapespace. At the single protein level, we found that cells of different shapes in the same cell cycle phase might be preparing for different fates, and that many non-cell cycle proteins expressed shape-based abundance variation. Using the same coordinate framework defined by shape, we could analyze the distribution shift of protein spatial localization under drug perturbation.

bioengineering↗

bioRxiv2025

Lipid scrambling via TMEM16F mediates the formation and release of apoptotic vesicles

The ubiquitous and highly conserved programmed cell death pathways that are essential for tissue development and homeostasis are accompanied by distinct morphological alterations. Apoptotic cells undergo fragmentation that is concomitant with the exposure of phosphatidylserine (PS) on the membrane surface. Large fragments, called apoptotic bodies, as well as much smaller and more numerous vesicles are released. While the molecular mechanisms underlying apoptotic body formation have been explored, much less is known about vesicle biogenesis. We used an inducible, active form of TMEM16F to determine the role of lipid scrambling in vesiculation, separately from other apoptotic signaling events. Plasmalemmal lipid scrambling sufficed to release apoptotic-like vesicles without causing changes in cytosolic calcium or the submembrane cytoskeleton. The scrambled bilayer showed pronounced segregation of exofacial lipids and redistribution of apparent cholesterol to the inner leaflet. The clustering of raft-associated components with bulky headgroups -typified by glycophosphatidylinositol-linked proteins- formed domains of outward (convex) curvature, while regions of accumulation of phosphatidylethanolamine (PE) generated inward (concave) curvature that facilitated the scission of vesicles. Thus, scrambling of plasma membrane lipids suffices to induce regions of acute membrane curvature and facilitates detachment of vesicles analogous to those released from the surface of apoptotic cells.

cell biology↗

bioRxiv2025

A Circadian Light Regulator Controls a Core CAM Gene in the Ice Plant's C3-to-CAM Transition

Crassulacean acid metabolism (CAM) enhances drought tolerance by shifting carbon fixation to the night, improving water-use efficiency compared to C3 and C4 photosynthesis. However, the molecular regulators of CAM induction remain poorly understood. Here, we generate the first single-nucleus transcriptome atlas of a CAM species, Mesembryanthemum crystallinum, to resolve transcriptional dynamics at the cell-type level during the C3-to-CAM transition. Using snRNA-seq and a 24-hour time-course bulk RNA-seq dataset, we identify PPCK1, a key CAM enzyme regulator, as part of a co-expression network enriched in circadian clock genes and salt-induced pathways. We demonstrate that the ice plant HY5 (McHY5) directly activates PPCK1, a function absent in the C3 model species Arabidopsis thaliana. This discovery reveals a fundamental divergence in transcription factor activity between a CAM and a C3 species, suggesting that CAM evolution in M. crystallinum involved a rewiring of core regulatory elements underlying CAM. Identifying a transcription factor that directly controls a major CAM gene provides a key step toward decoding CAM regulatory architecture and opens new avenues for engineering drought-resilient crops.

plant biology↗