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Biology subjects

Mao, T.

Publications and source records attributed to Mao, T..

At least 19 recordsLinked to original sources

Function-preserving CD8⁺ T Cell Immunogenicity minimization through protein design

Rapid advances in protein design enable new approaches in adoptive cell therapy, but foreign proteins can elicit cytotoxic T cell responses, and hence there is considerable need for approaches which reduce immunogenicity without compromising protein function. Here, we develop a computational framework integrating structure-guided sequence design with MHC class I epitope prediction to efficiently tune protein immunogenicity while preserving function. Using a de novo-designed luciferase as a model, we demonstrate epitope elimination while preserving function across 5 common mouse alleles and extend our computational optimization to 25 common human MHC-I alleles. In mice immunized with mRNA-lipid nanoparticles, variants designed to have few MHC-I epitopes elicited little detectable CD8 T cell response, whereas variants designed to include multiple epitopes induced robust responses. Together, these results demonstrate that the CD8 T cell immunogenicity of designed proteins can be tuned while preserving function, opening the door to incorporation of designed proteins in a next generation of adoptive cell therapies.

bioengineering↗

iFLiP: accessible and low-cost lifetime fiber photometry for robust longitudinal and quantitative measurements of neural dynamics

Fluorescence lifetime measurements overcome the limitation of widely used intensity-based measurements in quantifying tonic activities and longitudinal changes in neural dynamics. However, while lifetime sensors are rapidly emerging, their applications have been limited by the complexity and expense of required hardware and software. Here, we report a simple, low-cost lifetime fiber photometry system, named iFLiP, that uses entirely off-the-shelf products and can be assembled without specialized expertise. We also develop software that enables turn-key operation. The integrated system can accurately monitor lifetime changes at up to 5000 Hz for days. We demonstrate the utility of iFLiP in monitoring the activity of protein kinase A (PKA) in vitro and in vivo, and uncover striatal subregion- and cell-type-specific PKA dynamics elicited by locomotion in mice. Additionally, multi-day continuous measurements in the basal forebrain reveal previously unappreciated PKA activity associated with sleep/wakefulness. Overall, iFLiP may make lifetime measurements broadly accessible in neuroscience research.

neuroscience↗

Defense-associated reverse transcriptases synthesize DNA in a telomerase-like manner

Defense-associated reverse transcriptases (DRTs) constitute an emerging class of bacterial defense systems that harness reverse-transcriptase activity to generate cDNA products and counter phage infection. A distinct subset of DRT10 systems evolutionarily related to telomerase generates tandem-repeat DNA to confer antiphage immunity. Here, we biochemically characterize the reverse transcription activity of DRT10 and determine cryo-EM structures of DRT10-ncRNA complex in three functional states, revealing an unanticipated 2:1 RT:ncRNA assembly mode. Two DRT10 protomers dimerize through a central pair of interlocked {beta}-hairpins and are further embraced by a single ncRNA. This architecture distinguishes DRT10 from previously characterized DRT complexes, which either lack an ncRNA component or exhibit an equivalent stoichiometry of RT:ncRNA. Strikingly, despite the nearly identical conformations of the two DRT10 protomers, cDNA product density was resolved in only one catalytic pocket, revealing different product occupancy within the dimer. Moreover, along with flanking linkers, the stem loops of the ncRNA as fixed points to supply steric barriers help define the template boundary. These findings reveal a distinctive ncRNA-mediated DRT10 dimeric assembly and establish a mechanistic framework for protein-primed reverse transcription constrained by the length of the RNA flanking linker.

biochemistry↗

The uplift of the Qinghai-Tibetan Plateau reshaped genome architecture and diversification of Asian torrent catfishes

Tectonic uplift and mountain building are major drivers of species diversification and adaptation, yet how they reshape genome architecture and promote evolutionary innovation remains poorly understood. Here, we generated multiple chromosome-level genomes for Asian torrent catfishes (Sisoridae) and performed phylogenomic and comparative genomic analyses. Our results support an Asian origin of Sisoridae and provide a refined phylogenetic topology for catfishes. Comparative analyses revealed extensive chromosomal rearrangements during sisorid evolution, indicating highly dynamic genome architectures. The timing of sisorid diversification overlaps with major phases of regional tectonic change, and analyses of phylogenetic discordance indicate heterogeneous contributions from incomplete lineage sorting and introgression. Elevational distribution was associated with variation in estimated molecular evolutionary rates, while exploratory scans identified lineage-specific candidates for selection and convergent evolution. Candidate coding and non-coding changes occur near genes with known roles in fin development, body patterning, and liver biology, but their effects on sisorid traits remain to be tested. Together, our results demonstrate how tectonic uplift reshaped genome architecture and diversification in Asian torrent catfishes and provide new insights into the genomic basis of adaptation in mountainous freshwater ecosystems.

evolutionary biology↗

Comprehensive 3D mapping reveals distinct spatial gradients of SST, PV, and TH interneurons across the mouse caudoputamen

In addition to spatially organized excitatory forebrain inputs along its mediolateral, dorsoventral, and anteroposterior axes, the striatum relies on cellular diversity to subserve its myriad processing functions. Distinct striatal GABAergic interneuron subtypes, including somatostatin (SST), parvalbumin (PV), and tyrosine hydroxylase (TH) interneurons likely subserve complementary computational roles. However, a detailed understanding of how these microcircuit components are distributed across striatal territories remains lacking. To address this gap, we generated a comprehensive three-dimensional atlas of SST, PV, and TH interneurons across the mouse caudoputamen using genetic labeling, brain-wide imaging, and voxel-wise quantification. We found that SST and TH interneurons were relatively enriched in the ventral caudoputamen, whereas PV interneurons were enriched dorsally. In addition, PV and TH interneurons exhibited opposing anteroposterior distribution patterns, with PV interneurons enriched posteriorly and TH interneurons showing a marked decline in density towards the striatal tail. Consequently, while the three interneuron subtypes displayed comparable densities in the functionally defined lateral striatum and anterior ventromedial striatum, PV interneurons predominated in the dorsomedial striatum and tail of striatum. We did not observe major sex differences. Together, these findings reinforce the view that the striatum is not a monolithic structure: in addition to structured excitatory inputs, inhibitory microcircuits themselves are differentially distributed across striatal territories, providing region-specific constraints on circuit computation. By integrating interneuron organization into existing anatomical frameworks, this atlas provides a foundation for linking striatal anatomy to function across behavioral domains.

neuroscience↗

Unlocking karst biodiversity with eDNA: a validated qPCR toolkit for discovery and monitoring the worlds largest cavefish radiation (Cyprinidae: Sinocyclocheilus)

Environmental DNA (eDNA) enables non-invasive detection of aquatic species through trace genetic material, but uncertainties regarding DNA persistence, detection accuracy, and the limited taxonomic resolution of stygian fauna have constrained its use in subterranean aquatic environments. The species-rich cavefish genus Sinocyclocheilus, endemic to the karst landscapes of southwestern China, offers an excellent model for understanding these issues. With over eighty species, many of which are endemics, and many still being described, this lineage is taxonomically rich, poorly understood, and highly threatened. However, access to these deep habitats remains challenging, making eDNA detection one of the most practical methods for documenting and monitoring them. We developed and validated a qPCR assay targeting a hypervariable region of the mitochondrial 16S rRNA gene, allowing for genus-specific detection and species-level identification. Laboratory and field evaluations involving 47 representative species confirmed high specificity and a detection limit of around 20 DNA copies per reaction (R{superscript 2} = 0.995). Controlled degradation studies indicated that temperature and pH strongly affect DNA persistence. Field surveys across 47 karst sites (37 caves and 10 surface sites) detected Sinocyclocheilus eDNA in only 33 caves. Dideoxy sequencing of qPCR amplicons provided species-level identification and phylogenetic validation, including detection of a new species. At three cave sites yielding multiple qPCR detections, 16S metabarcoding enabled species discrimination. By integrating qPCR assay validation, eDNA degradation modelling, hierarchical genetic identification via dideoxy sequencing, and selective NGS metabarcoding, this study presents a strategic framework for applying eDNA methods in subterranean environments.

evolutionary biology↗

Neuronal architecture of the mouse insular cortex underlying its diverse functions

The insular cortex integrates interoceptive and exteroceptive information to mediate bodily homeostasis, emotion, learning, and potentially consciousness.1-4 However, the cellular and circuit substrates governing the insula and other associative cortices are poorly understood compared to primary cortices. Here, we quantify the dendritic morphology together with electrical properties, local inputs, and/or projections of 1,093 insular pyramidal neurons. These neurons are mapped onto a quantitative anatomical model of the insula based on a Nissl-staining coordinate framework. Using improved algorithms, we define 21 morphological, 12 electrical, and 9 input neuronal types, and identify several morphological and input types that are unique to the insula. Further, we find that morphological properties constrain and often predict inputs, electrical properties, or projection targets. Several morphological types are differentially distributed between the functionally distinct anterior and posterior insula, providing the substrates for a quantitative demarcation between the anterior and posterior insular subregions. Surprisingly, certain neuronal types receive intra-insular inputs originating far beyond canonical cortical columns. Functionally, these connections bridge a long-range thalamus-to-amygdalar circuit that potentially links sensory information to valence. Our work establishes a structure-and-function foundation for investigating the insular cortex.

neuroscience↗

Chromosomal Restructuring and Subgenome Divergence Drive Post-Polyploid Adaptive Diversification in Sinocyclocheilus Cavefish

Allopolyploidy generates extensive genomic potential, yet its role in adaptive diversification remains poorly understood. We assembled phased chromosome-level genomes of cave and surface ecotypes of Sinocyclocheilus, a rapidly diversifying cavefish lineage, the most species-rich in the world. Our analyses show that all species derive from the ancestral allotetraploidisation event common to all cyprinids without subsequent polyploidisation. Instead, diversification has been driven by chromosomal rearrangements and the emergence of subgenome asymmetry. The dominant D subgenome maintains more genes, exhibits higher expression, and is enriched for adaptive functions, while the submissive S subgenome is inclined towards housekeeping roles. This asymmetry is further reinforced by the accumulation of transposable elements near genes exhibiting expression biased toward the S-subgenome. We also identify a derived epigenetic mechanism in the cave ecotype, i.e., differential methylation of these elements, absent in the surface ecotype. These findings show how structural, regulatory, and epigenetic processes have interacted following allopolyploidy to produce ecological and phenotypic diversity in Sinocyclocheilus. Our findings also offer quantitative evidence that cave adaptation is a complex process characterised by an evolutionary trade-off - the regression of energetically expensive traits combined with the remodeling of neural and developmental pathways driven by natural selection.

evolutionary biology↗

Sleep deprivation exhibits age-dependent effect on infra-slow global brain activity

Infra-slow (< 0.1 Hz) global brain activity, quantified by the global mean BOLD (gBOLD) signal in resting-state fMRI, is elevated during sleep and closely associated with cerebrospinal fluid (CSF) dynamics, a key mechanism for the brain waste clearance implicated in neurodegenerative disorders such as Alzheimers disease (AD). However, the effect of sleep deprivation on gBOLD activity and its interaction with aging remain poorly understood. Using a rigorously controlled in-laboratory total sleep deprivation (TSD) protocol, we demonstrate that TSD significantly increases both the amplitude of the gBOLD signal and its coupling with CSF flow, suggesting a compensatory mechanism that may enhance glymphatic clearance following acute sleep loss. Notably, these TSD-induced enhancements exhibit robust age dependency, with diminished responses in individuals at midlife (40-50 yrs). The absence of this compensatory mechanism in these midlife participants may exacerbate age-related impairments in neurotoxic clearance and increase dementia susceptibility, thereby offering mechanistic insights into the nexus between sleep disruption, aging, and neurodegeneration.

neuroscience↗

CART-GPT: A T Cell-Informed AI Linguistic Framework for Interpreting Neurotoxicity and Therapeutic Outcomes in CAR-T Therapy

Chimeric antigen receptor (CAR) T cell therapy holds transformative potential for hematologic malignancies, yet predicting patient-specific treatment efficacy and neurotoxicity remains a major clinical challenge due to the complex and heterogeneous nature of the infused CAR-T cell populations. Here, we introduce CART-GPT, a transformer-based model fine-tuned on a curated atlas of 1.12 million CAR-T single-cell RNA-seq profiles annotated with clinical outcomes. CART-GPT is the first AI model developed for CAR-T therapy that predicts both treatment response and the risk of immune effector cell-associated neurotoxicity syndrome (ICANS), achieving state-of-the-art performance (AUC ~0.8) and marking a significant advance in the field. The model provides interpretable insights, revealing that neither therapeutic efficacy nor neurotoxicity is driven by individual cell types alone, but by the combined influence of discrete, distinct subsets across diverse T cell states and transcriptional programs. A novel cell aggregation strategy links single-cell predictions to patient-level metrics, enhancing both accuracy and biological relevance. As a contribution to this ever-evolving field, we also release a comprehensive, annotated single-cell CAR-T atlas as a community resource to facilitate future research in immunotherapy. These advances demonstrate the potential of foundation models in single-cell biology to inform precision CAR-T treatment planning and facilitate the rational design of next-generation cell therapies.

bioinformatics↗

Integrative Species Delimitation in a Speciation Continuum: Phylogenomics, Cryptic Diversity, Diversification and Historical Biogeography of Sinocyclocheilus Cavefish

The transition from structured populations to distinct species often unfolds along a speciation continuum. However, empirically dissecting this continuum poses challenges for species delimitation, particularly in rapid radiations marked by recent divergence, incomplete lineage sorting, and gene flow. The species-rich Sinocyclocheilus cavefish radiation of Southwest China, an emerging evolutionary multi-species model system, shows a notable mismatch between its high morphological diversity and the limited divergence observed in commonly used mitochondrial DNA markers. This pattern suggests that true species richness may be underestimated. Yet, comprehensive genome-wide approaches to resolve species boundaries in this group are still lacking. To address this, we combine phylogenomics, coalescent-based species delimitation, population genetics, and historical biogeography, using both genome-wide RAD-seq and multi-locus Sanger data (including nuclear and mitochondrial DNA). Our phylogenomic analyses resolve major clades and reveal substantial cryptic diversity, well beyond what was detected by earlier markers. Species delimitation based on RAD-seq genomic data identifies several cryptic evolutionary lineages. We recover a dynamic divergence history shaped by isolation and episodic connectivity. Biogeographic reconstruction supports a mid-Miocene origin following a major vicariance event, with subsequent founder-event dispersals into subterranean habitats. This long history of fragmentation is further complicated by reticulation and ancestral polymorphism, and is reflected in present-day patterns of restricted gene flow across river valleys. These results highlight the utility of integrative genomic approaches in resolving species boundaries and uncovering the evolutionary processes that underlie high diversity in large and complex radiations.

evolutionary biology↗

Pentose Sugars Encode Sequence-Dependent DNA-RNA Segregation for Biomimetic Multiphase Condensates

The nucleus segregates DNA and RNA with high precision to safeguard genome stability and gene regulation despite their homologous structures, yet the underlying molecular principles have long evaded both understanding and synthetic translation. Here we show that a single atomic difference between the pentose sugars, a 2-OH in RNA versus a 2-H in DNA, suffices to drive their phase segregation with cationic peptides. This subtle chemical distinction makes RNA bind peptides more strongly than sequence-identical DNA, generating an asymmetry that, when modulated by sequence-encoded homotypic interactions, drives the formation of core-shell multiphase condensates. Using a supervised machine-learning approach, we distill these molecular principles into a predictive design rule and harness it to program a library of oligonucleotide pairs, termed SEGREGamers, that self-assemble into droplets with coexisting DNA- and RNA-rich domains. These synthetic condensates recapitulate nuclear compartment functions, including selective molecular partitioning and enhanced RNA catalysis. Our results establish a chemically encoded platform for engineering synthetic nuclear mimics and programmable biomolecular condensates, and suggest that sugar identity may have served as an ancient physical mechanism for organizing nucleic acids.

biophysics↗

Th1 cells express Tfh effector molecules and associate with B cells at the T-B borderfollowing viral infection

Antibodies protect the host from pathogens by neutralizing viruses, targeting pathogens for phagocytosis and complement deposition, and by activating innate immune cells. Most studies on the cellular mechanisms of antibody induction focus on the role of germinal centers (GCs) - areas within lymph nodes (LNs) and spleen where activated B cells undergo mutation and then selection by T follicular helper (Tfh) cells to produce high affinity antibodies. However, specific and long-lived antibodies can be produced in the absence of GCs and Tfh cells, sometimes referred to as "extrafollicular" (EF) responses. However, EF responses are typically assumed to be short-lived and low affinity. We characterized the CD4+ T cells present in wild type and Tfh cell-deficient mice in lung draining LNs following influenza A virus or SARS-CoV-2 infection to compare the nature of T cell help for activated B cells. We found that a population of helper Th1 cells remains in LNs seven days following viral infection and interacts with IgG2c+ B cells at the T-B border in both WT and Tfh-deficient mice. We propose that Th1 cells promote virus-specific antibody production in parallel with Tfh cells in the GC and that such a response is contiguous with the T-B border and therefore is not an EF response as classically defined.

immunology↗

Thalamic integration of basal ganglia and cerebellar circuits during motor learning

The ability to control movement and learn new motor skills is one of the fundamental functions of the brain. The basal ganglia (BG) and the cerebellum (CB) are two key brain regions involved in controlling movement, and neuronal plasticity within these two regions is crucial for acquiring new motor skills. However, how these regions interact to produce a cohesive unified motor output remains elusive. Here, we discovered that a subset of neurons in the motor thalamus receive converging synaptic inputs from both BG and CB. By performing multi-site fiber photometry in mice learning motor tasks, we found that motor thalamus neurons integrate BG and CB signals and show distinct movement-related activity. Lastly, we found a critical role of these thalamic neurons and their BG and CB inputs in motor learning and control. These results identify the thalamic convergence of BG and CB and its crucial role in integrating movement signals. HighlightsO_LIIndividual neurons in motor thalamus receive converging synaptic input from SNr and DCN projections. C_LIO_LIThalamic neurons with SNr and DCN input are concentrated at the border between VM and VAL thalamic nuclei. C_LIO_LIThalamic neurons functionally integrate SNr and DCN activity and adapt with motor learning. C_LIO_LIThalamic neurons and their inputs from SNr and DCN are critical for learning and executing motor tasks. C_LI

neuroscience↗

Caves as species pumps: key innovations, isolation, and periodic introgression drive the world's largest cavefish radiation in a dynamic karstic landscape

Species diversification is shaped by intricate interactions among biotic drivers, including gene flow, hybridization, and key innovations, and abiotic drivers, such as historical climate change, geological events, and ecological opportunity. However, the relative contributions of these drivers in large radiations remain poorly understood. We investigate the interplay among these factors in the diversification of Sinocyclocheilus, a cavefish radiation comprising 79 species. Sinocyclocheilus include typical surface-dwelling forms, with well-developed eyes and pigmentation, to cave-dwelling forms with regressed eyes, reduced pigmentation, and the presence of a horn and a hump. Using reduced representation genomic data (RADseq), we show extensive gene flow events across different species, with introgression playing a key role compared to incomplete lineage sorting in creating phylogenetic discordance and contributing genetic variation for cave adaptation and diversification in this group. Key traits such as eye degeneration, reduced pigmentation, and horn evolved independently multiple times, as adaptations for effectively exploiting cave environments. Furthermore, the uplift of the Tibetan plateau and the late Miocene cooling also significantly impacted speciation rates. Demographic analyses suggest population expansions during the Gonghe Movement and stability during the Last Glacial Maximum, possibly due to cave refugia. Periodic events of introgression promoted by isolation and reconnections due to the changing climate and geological activity, combined with the repeated evolution of key cave-adapted traits, are the primary drivers of this radiation. Our findings underscore the complex interplay of biotic and abiotic factors in the evolution of Sinocyclocheilus fish, offering new insights into the mechanisms of cave adaptation and diversification.

evolutionary biology↗

A high-performance genetically encoded sensor for cellular imaging of PKC activity in vivo

We report a genetically encoded fluorescence lifetime sensor for protein kinase C (PKC) activity, named CKAR3, based on Forster resonance energy transfer. CKAR3 exhibits a 10-fold increased dynamic range compared to its parental sensors and enables in vivo imaging of PKC activity during animal behavior. Our results reveal robust PKC activity in a sparse neuronal subset in the motor cortex during locomotion, in part mediated by muscarinic acetylcholine receptors.

neuroscience↗

Generation of an inflammatory niche in an injectable hydrogel depot through recruitment of key immune cells improves efficacy of mRNA vaccines

Messenger RNA (mRNA) delivered in lipid nanoparticles (LNPs) rose to the forefront of vaccine candidates during the COVID-19 pandemic due in part to scalability, adaptability, and potency. Yet there remain critical areas for improvements of these vaccines in durability and breadth of humoral responses. In this work, we explore a modular strategy to target mRNA/LNPs to antigen presenting cells with an injectable polymer-nanoparticle (PNP) hydrogel depot technology which recruits key immune cells and forms an immunological niche in vivo. We characterize this niche on a single cell level and find it is highly tunable through incorporation of adjuvants like MPLAs and 3M-052. Delivering commercially available SARS-CoV-2 mRNA vaccines in PNP hydrogels improves the durability and quality of germinal center reactions, and the magnitude, breadth, and durability of humoral responses. The tunable immune niche formed within PNP hydrogels effectively skews immune responses based on encapsulated adjuvants, creating opportunities to precisely modulate mRNA/LNP vaccines for various indications from infectious diseases to cancers.

bioengineering↗

Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images

Light-sheet microscopy has made possible the 3D imaging of both fixed and live biological tissue, with samples as large as the entire mouse brain. However, segmentation and quantification of that data remains a time-consuming manual undertaking. Machine learning methods promise the possibility of automating this process. This study seeks to advance the performance of prior models through optimizing transfer learning. We fine-tuned the existing TrailMap model using expert-labeled data from noradrenergic axonal structures in the mouse brain. By fine-tuning the final two layers of the neural network at a lower learning rate of the TrailMap model, we demonstrate an improved recall and an occasionally improved adjusted F1- score within our test dataset over using the originally trained TrailMap model. Availability and implementation: The software and data are freely available at https://github.com/pnnl/brain_ohsu and https://data.pnl.gov/group/204/nodes/dataset/35673, respectively.

neuroscience↗