Biology subjects

Lai, C.

Publications and source records attributed to Lai, C..

At least 19 recordsLinked to original sources

bioRxiv2026

High-throughput light-sheet 3D microscopy of whole rodent brain microstructure for integration with MRI

Whole-brain cellular mapping is essential for understanding how differences in cellular architecture shape brain organisation and function. Magnetic Resonance Imaging (MRI) provides whole-brain coverage in humans and animal models but is only indirectly sensitive to cellular features. Integrating MRI with whole-brain microscopy is therefore critical for interpreting existing microstructural MRI metrics and developing new, more specific ones. Here, we present a scalable cross-resolution framework that integrates 3D light-sheet microscopy (LSM) of intact rodent brains with diffusion MRI (dMRI) to bridge cellular and macroscopic brain imaging. By combining active electrotransport-based tissue clearing and immunolabelling with accelerated LSM acquisitions, we achieve whole-brain multiplexed mapping of neuronal and glial populations in intact rodent brains on timescales comparable to conventional histology and 2D microscopy. This throughput enables LSM and MRI integration at scale, linking macroscopic MRI contrasts to microscopic cellular features within the same tissue. We apply this framework across eight genetically diverse mouse strains to develop predictive models of 3D microscopy-derived cellular features from multi-shell dMRI-derived contrasts. We demonstrate that data-driven combinations of state-of-the-art dMRI contrasts predict neuronal and astrocytic features better than individual contrasts, across all animals. Our novel approach enables 3D microscopy to guide the development and interpretation of microstructural MRI measures that are ultimately translatable to the living human brain.

neuroscience↗

bioRxiv2026

Metagenomic insights into dose-dependent alterations in the tobacco rhizosphere microbiome by pyrroloquinoline quinone

Pyrroloquinoline quinone (PQQ) is known to promote plant growth, yet how the rhizosphere microbiome varies with PQQ concentration remains poorly understood. We applied metagenomic sequencing to characterize the taxonomic composition and functional potential of the tobacco rhizosphere microbiome across PQQ treatments at 0.5, 1 and 2 mol/L plus an untreated control. The rhizosphere microbiome was dominated by Pseudomonadota and Actinomycetota and differed among treatments in a concentration-associated, non-monotonic manner. The most pronounced differences were observed at 1 mol/L, where alpha diversity showed dimension-specific variation and beta-diversity analysis resolved the most distinct community profile. Taxonomic and functional profiles varied concurrently, with Streptomyces, Sphingomonas, Rhodanobacter and Lysobacter, together with functions related to biosynthesis, energy metabolism, colonization and environmental sensing, showing higher relative abundance at this concentration. No broad-spectrum antimicrobial effect was detected at the community level, and antibiotic resistance gene abundance showed no significant differences among treatments after correction for multiple testing. These findings provide a basis for further evaluation of PQQ in modulating the rhizosphere microbiome in continuous cropping systems.

microbiology↗

bioRxiv2026

Combinatorial regulation of cellular rotation by CUL-3-actomyosin-dependent oriented division, eggshell geometry, and Ras–MAPK signaling during dorsal–ventral axis establishment in Caenorhabditis elegans

Cellular rotation is an understudied mechanism that regulates animal morphogenesis. In C. elegans, the dorsal-ventral axis is established when the two-cell-stage AB cell rotates within the eggshell as it divides, generating the diamond-shaped blastomere arrangement at the four-cell stage that enables distinct cell fate specification. Multiple mechanisms, including actomyosin-dependent oriented division, chiral cortical flow, and eggshell shape, have been proposed to regulate this arrangement, but whether these represent conflicting hypotheses or co-acting mechanisms remains unclear. Here, we show that CUL-3-actomyosin-dependent oriented division, eggshell geometry, and the Ras-MAPK signaling pathway regulate distinct steps of cellular rotation. AB cell rotation occurred in two distinct phases: Phase I during AB cytokinesis and Phase II during cytokinesis of the neighboring P1 cell. Quantitative analysis revealed that CUL-3-actomyosin-dependent oriented division is the only one of these three pathways that regulates the AB division axis before anaphase. Actomyosin-dependent oriented division and eggshell geometry were both required for Phase I rotation, whereas Phase II rotation was independent of eggshell geometry. We further identified the Ras-MAPK signaling pathway as a regulator of AB cell rotation that acts independently of eggshell geometry. Strikingly, the CUL-3-actomyosin-dependent pathway may have two distinct roles: first, specifying the AB division axis, and second, correcting the division axis in all cell types during cytokinesis. Together, these functions contribute significantly to cellular rotation and dorsal-ventral axis establishment.

Cell Biology↗

bioRxiv2026

In-silico cell sorting revealed granulocyte-specific single-cell-type gene expression from peripheral blood bulk expression data and its application as host response biomarkers to discriminate bacterial and viral infections

Peripheral Blood transcriptome analysis evaluated the bulk transcript abundance (TA) covering all leukocyte cell populations. However, there are 2 main problems in using bulk expression as biomarkers: (1) A long list of differential expression genes (DEGs) was found, and (2) DEGs cannot be attributed to a host response of any specific cell-type. TA assays after conventional cell sorting, as the gold-standard method, is too tedious for routine use. Recently, we showed that by using a ratio-based biomarker, RBB (ratio of two stringently selected genes), it is feasible to interrogate the gene expression of a single cell-type (monocyte and B lymphocyte) in peripheral whole blood (WB) directly. Here, we apply this in-silico cell sorting algorithm (DIRECT LS-TA, Direct Leukocyte Single cell-type Transcript Abundance) to granulocytes in WB samples to reveal RBBs specific to granulocytes. This DIRECT LS-TA approach without the need for cell-sorting was applied to public datasets to differentiate the 2 types of infection (bacterial vs viral infection). The following RBBs measured in WB correlate with the expression of target (numerator) genes in purified granulocytes, thus cell-sorting can be avoided by using these RBBs: ARG1/SRGN, ANXA3/SRGN, RSAD2/SRGN. Together with monocyte DIRECT LS-TA biomarkers, IFI27/PSAP, direct quantification of 4 genes provided optimal differentiation of viral from bacterial infection. Meta-analysis and unsupervised machine learning classification confirmed the superior performance of DIRECT LS-TA biomarkers. These RBBs found by prior In-silico cell-sorting identified pairs of genes that are used to formulate as ratio-based biomarkers (RBBs) to represent gene expression of granulocytes inside whole blood cell-mixture samples which was useful to triage febrile patients into two major categories of febrile diseases between viral and bacterial infection with high degree of sensitivity and specificity.

immunology↗

bioRxiv2026

Streptomyces enrichment in roots during drought is uncoupled from plant benefit and is driven by host suppression of iron uptake and immunity

Drought reshapes plant root microbiota, yet the mechanistic drivers and consequences of this observation remain unclear. We discovered that suppression of host immunity and iron homeostasis is required for Streptomyces enrichment in roots during drought across diverse soils. Genetic and physiological manipulation of these host pathways confirmed their requirement in modulating Streptomyces root enrichment. Drought-induced suppression of iron uptake was conserved across the [~]160 My monocot-eudicot divergence. Some Streptomyces strains enhanced plant growth and rescued iron uptake under drought. These benefits were uncoupled from Streptomyces root enrichment. They were instead shaped by intra-Streptomyces antagonism. We propose a two-step model: drought-driven down regulation of host iron and immune pathways enriches Streptomyces, while intra-genus dynamics fine-tune strain-level assembly and functional outcomes. Our data refine the idea that Streptomyces are enriched in roots during drought in response to a plant cry for help and consequently contribute to alleviation of this abiotic stress.

plant biology↗

bioRxiv2025

Coxiella burnetii infects osteoclasts and alters their differentiation and function in a type IV secretion system-dependent manner

1Chronic Q fever is caused by persistent infection with the Gram-negative bacterium Coxiella burnetii. The mechanisms underlying this persistence remain elusive, but the presence of the bacteria in the bone marrow of C. burnetii-infected patients has been demonstrated. Therefore, we investigated the potential role of osteoclasts, the bone-resorbing cells, in harboring C. burnetii during the infection. The histological analysis of bones from a murine model of Q fever revealed the presence of C. burnetii inside osteoclasts. In vitro infection assays confirmed that osteoclasts can be infected with C. burnetii and supported bacterial replication in a type IVB secretion system (T4BSS)-dependent manner. Wild-type C. burnetii infection inhibited osteoclast differentiation and bone-resorbing activity, while the T4BSS mutant enhanced the differentiation and bone-degrading function of osteoclasts. Taken together, our findings identify osteoclasts as a potential host cell for C. burnetii, opening new perspectives on mechanisms that may underlie chronic Q fever. Additionally, infection-induced alterations in osteoclast function raise the possibility of alterations of the bone structure in affected patients.

immunology↗

bioRxiv2025

Automated registration of spatial expression data scales multimodal integration to large cohorts

Recent advances in spatial proteomics enable quantification of the spatial distribution of protein expression across a variety of scales, resolutions, and multiplexing. Registering images from such technologies across modalities is an essential task that enables both the integration of complementary imaging technologies and validation of biological findings. This can be particularly challenging when the modalities capture fundamentally different types of data, such as light intensity, probe counts, or heavy metal counts. However, few datasets and methods address this problem at scale. Here, we introduce the largest dataset to date of cross-modality imaging of both cell line and tissue slides suitable for benchmarking registration methods. We further present Twocan, a Bayesian optimization framework that enables robust automated registration between immunofluorescence imaging and highly multiplex spatial proteomics data. Our method achieves significantly higher registration success rates compared to existing approaches across our comprehensive dataset of 954 image pairs.

bioinformatics↗

bioRxiv2025

Sequential Amino Acid Mutagenesis-Driven De Novo Evolution of Adenine Deaminases Enables Efficient In Vivo Base Editing in Primate

Base editing allows for the precise modification of genetic information, providing new avenues for treating diseases1. The adenine base editor ABE8e is currently the most efficient and widely used tool for adenine base editing. ABE8e was developed through multiple rounds of directed evolution of Escherichia coli tRNA adenine deaminase, including phage-assisted continuous evolution (PACE)2,3. While PACE is highly effective, it is a complex system that poses challenges for implementation4. Despite its high efficiency, ABE8e is associated with limitations such as relatively higher bystander editing effects and elevated off-target activity5, which need to be addressed to further enhance its precision and safety. Here, we developed a novel method for the de novo discovery of evolved ABE components, particularly adenine deaminases. This process involves identifying candidate proteins through AI-based structural prediction and clustering, followed by the enhancement of deaminase editing activity through screening libraries created by sequential amino acid saturation mutagenesis. This evolutionary strategy simplifies the approach by employing saturation mutagenesis libraries tailored to specific segments, thereby enabling exploration of an expanded sequence space and increasing the likelihood of discovering adenine deaminases with superior capabilities. The newly developed hpABE5.20 here demonstrates a more refined editing window, reduced DNA off-target effects that are both sgRNA-dependent and -independent, and minimized RNA off-target activity, while maintaining robust editing efficiency relative to ABE8e. Furthermore, hpABE5.20 has been successfully applied for precise and effective therapeutic adenine base editing in cellular disease models, humanized mice, and non-human primates.

bioengineering↗

bioRxiv2025

Spatial gene expression of human coronary arteries revealed the molecular features of diffuse intimal thickening in explanted hearts

BackgroundDiffuse intimal thickening (DIT) is a pre-clinical stage of atherosclerosis characterized by thickened intima. The molecular basis of its susceptibility to atherogenesis is unknown, and mechanistic investigations cannot be performed in commonly used mouse models, in which DIT does not exist. Vascular smooth muscle cells (SMCs) are the predominant cell type that occupies the intima and media of DIT. The molecular differences between these two layers may reveal the earliest phenotypic changes in SMCs to promote atherosclerosis. MethodsWe benchmarked the RNA quality of human coronary arteries from autopsies (n=7) and freshly explanted hearts (n=7) and performed Visium spatial gene expression on tissue sections with DIT. SMC-enriched intima and media were compared to find differentially expressed genes. The gene ontology features of SMC-enriched intima in this study were also compared to those in the atherosclerotic lesions, as previously revealed by single-cell RNA-sequencing studies. ResultsAlthough autopsy samples met the RNA quality standard for Visium (DV200 [≥] 30%), only arteries from freshly explanted hearts exhibited reliable performance. Genes enriched in TGF-{beta}-mediated remodeling of the extracellular matrix were overrepresented in the intima, including versican and biglycan. SMCs enriched in the intima are dedifferentiated, but unlike those in the lesions, they are not proinflammatory. ConclusionsOur findings indicate that autopsy samples are not ideal to distinguish subtle differences among cell phenotypes. Dedifferentiated SMCs in the DIT are distinct from the proinflammatory SMCs in atherosclerotic lesions. SMCs in thickened intima may lead to lipid retention but not necessarily the onset of atherosclerosis. Research Perspective1) What is New? O_LIPostmortem coronary arteries, which are frequently collected by biobanks, have degraded RNA, which are not suitable for identifying subtle differences in the transcriptome profiles. C_LIO_LICoronary arteries from explanted hearts allow for more faithful representation of spatial gene expression across the vessel wall as compared to ones from autopsy hearts. C_LIO_LIThickened intima in diffuse intimal thickening, which exists in everyone, is unlikely to undergo atherogenesis without additional stimuli such as inflammation. C_LI 2) What Question Should be Addressed Next? O_LIThe current RNA quality standard of spatial transcriptomics needs to be carefully benchmarked in biobank samples to control sequencing performance and meaningful data interpretation. C_LIO_LIHow inflammation changes smooth muscle cell phenotypes may explain why everyone has diffuse intimal thickening, but those with chronic inflammatory disease have a high risk of coronary artery disease. C_LIO_LIFuture research should focus on the interplay between smooth muscle cell phenotypes and the extracellular matrix to understand the etiology of coronary artery disease. C_LI

pathology↗

bioRxiv2024

Genetically Encoded Red Fluorescent Indicators for Imaging Intracellular and Extracellular Potassium Ions

Potassium ion (K+) dynamics are vital for various biological processes. However, the limited availability of detection tools for tracking intracellular and extracellular K+ has impeded a comprehensive understanding of the physiological roles of K+ in intact biological systems. In this study, we developed two novel red genetically encoded potassium indicators (RGEPOs), RGEPO1 and RGEPO2, through a combination of directed evolution in E. coli and subsequent optimization in mammalian cells. RGEPO1, targeted to the extracellular membrane, and RGEPO2, localized in the cytoplasm, exhibited positive K+-specific fluorescence response with affinities of 3.55 mM and 14.81 mM in HEK293FT cells, respectively. We employed RGEPOs for real-time monitoring of subsecond K+ dynamics in cultured neurons, astrocytes, acute brain slices, and the awake mouse in both intracellular and extracellular environments. Using RGEPOs, we were able, for the first time, to visualize intracellular and extracellular potassium transients during seizures in the brains of awake mice. Furthermore, molecular dynamics simulations provided new insights into the potassium-binding mechanisms of RGEPO1 and RGEPO2, revealing distinct K+-binding pockets and structural features. Thus, RGEPOs represent a significant advancement in potassium imaging, providing enhanced tools for real-time visualization of K+ dynamics in various cell types and cellular environments.

biochemistry↗

bioRxiv2024

Chemoresistance of TP53 mutant AML requires the mevalonate byproduct, GGPP, for regulation of ROS and induction of a mitochondria stress response

Acute myeloid leukemia (AML) with mutations in the tumor suppressor gene, TP53 (TP53mut AML), is fatal with a median survival of only 6 months. RNA sequencing on purified AML patient samples show TP53mut AML has higher expression of mevalonate pathway genes. We retrospectively identified a survival benefit in TP53mut AML patients who received chemotherapy concurrently with a statin, which inhibits the mevalonate pathway. Mechanistically, TP53mut AML resistance to standard AML chemotherapy, cytarabine (AraC), correlates with increased mevalonate pathway activity and a mitochondria stress response with increased mitochondria mass and oxidative phosphorylation. Pretreatment with a statin reverses these effects and chemosensitizes TP53mut AML cell lines and primary samples in vitro and in vivo. Mitochondria-dependent chemoresistance requires the geranylgeranyl pyrophosphate (GGPP) branch of the mevalonate pathway and novel GGPP-dependent synthesis of glutathione to manage AraC-induced reactive oxygen species (ROS). Overall, we show that the mevalonate pathway is a novel therapeutic target in TP53mut AML. SignificanceChemotherapy-persisting TP53mut AML cells induce a mitochondria stress response that requires mevalonate byproduct, GGPP, through its novel role in glutathione synthesis and regulation of mitochondria metabolism. We provide insight into prior failures of the statin family of mevalonate pathway inhibitors in AML. We identify clinical settings and strategies to successfully target the mevalonate pathway, particularly to address the unmet need of TP53mut AML.

cancer biology↗

bioRxiv2023

Characterization of the Complete Chloroplast Genome Sequences and Phylogenetic Relationships of Four Oil-Seed Camellia spp. and related taxa

Some species in the Sect. Oleifera of the genus Camellia L. known as oil-seed camellia because of their high oil content and economic value. Additional studies aimed at clarifying the phylogenetic relationships and chloroplast genomes of Camellia species are needed to hybridization, as well as improve the breeding, selection and interspecific hybridization of Camellia species. The complete chloroplast genomes (cpDNA) of the four oil-seed camellia species C. semiserrata, C. meiocarpa, C. suaveolens, and C. osmantha were resequenced to clarify their interspecific relationships. These cpDNA had typical tetrad structures, and they were highly conserved in various structural features. The total lengths of the cpDNA ranged from 156,965 to 157,018 bp, and 134 genes were annotated, including 88 protein-coding genes, 37 transfer RNA genes, and 8 messenger RNA genes. The average GC content of these genomes was 37.3%. The codons with the highest and lowest codon usage bias were UUA (which codes for leucine) and AGC (which codes for serine), respectively. The number of simple sequences repeats of the four Camelia species ranged from 38 to 40. Mononucleotide repeats were the most common repeat type, followed by tetranucleotide, trinucleotide, and hexanucleotide repeats. Our phylogenetic analysis of cpDNA, coupled with the results of previous ploidy analyses and artificial interspecific hybridization, revealed that C. semiserrata was most closely related to C. azalea, C. suaveolens was most closely related to C. gauchowensis, C. osmantha was most closely related to C. vietnamensis, and C. meiocarpa was most closely related to C. oleifera. The phylogenetic relationships between oil-seed camellia species with high oil content and economic value were characterized. Our analysis of the cpDNA provided new insights that will aid the use of artificial distant hybridization in camellia breeding programs.

genomics↗

bioRxiv2023

Low-latency extracellular spike assignment for high-density electrodes at single-neuron resolution

Real-time neural signal processing is essential for brain-machine interfaces and closed-loop neuronal perturbations. However, most existing applications sacrifice cell-specific identity and temporal spiking information for speed. We developed a hybrid hardware-software system that utilizes a Field Programmable Gate Array (FPGA) chip to acquire and process data in parallel, enabling individual spikes from many simultaneously recorded neurons to be assigned single-neuron identities with 1-millisecond latency. The FPGA assigns labels, validated with ground-truth data, by comparing multichannel spike waveforms from tetrode or silicon probe recordings to a spike-sorted model generated offline in software. This platform allowed us to rapidly inactivate a region in vivo based on spikes from an upstream neuron before these spikes could excite the downstream region. Furthermore, we could decode animal location within 3 ms using data from a population of individual hippocampal neurons. These results demonstrate our systems suitability for a broad spectrum of research and clinical applications.

neuroscience↗

bioRxiv2023

Nitrate-driven anaerobic oxidation of ethane and butane by bacteria

The short-chain gaseous alkanes (ethane, propane and butane; SCGAs) are important components of natural gas, yet our understanding of their fate in environmental systems is poorly understood. Microbially mediated anaerobic oxidation of SCGAs coupled to nitrate reduction has been demonstrated for propane, but is yet to be shown for ethane or butane - despite being energetically feasible. Here we report two independent bacterial enrichments performing anaerobic ethane and butane oxidation, respectively, coupled to nitrate reduction to dinitrogen gas and ammonium. Isotopic 13C-and 15N-labelling experiments, mass and electron balance tests, and metabolite and meta-omics analyses collectively reveal that the recently described propane-oxidising Candidatus Alkanivorans nitratireducens was also responsible for nitrate-dependent anaerobic oxidation of the SCGAs in both these enrichments. The complete genome of this species encodes alkylsuccinate synthase genes for the activation of ethane/butane via fumarate addition. Further substrate range tests confirm Ca. A. nitratireducens is metabolically versatile, being able to degrade ethane, propane and butane under anaerobic conditions. Moreover, our study proves nitrate as an additional electron sink for ethane and butane in anaerobic environments, and for the first time demonstrates the use of the fumarate addition pathway in anaerobic ethane oxidation. These findings significantly contribute to our understanding of microbial metabolism of SCGAs in anaerobic environments.

microbiology↗

bioRxiv2023

Learning produces a hippocampal cognitive map in the form of an orthogonalized state machine

Cognitive maps confer animals with flexible intelligence by representing spatial, temporal, and abstract relationships that can be used to shape thought, planning, and behavior. Cognitive maps have been observed in the hippocampus, but their algorithmic form and the processes by which they are learned remain obscure. Here, we employed large-scale, longitudinal two-photon calcium imaging to record activity from thousands of neurons in the CA1 region of the hippocampus while mice learned to efficiently collect rewards from two subtly different versions of linear tracks in virtual reality. The results provide a detailed view of the formation of a cognitive map in the hippocampus. Throughout learning, both the animal behavior and hippocampal neural activity progressed through multiple intermediate stages, gradually revealing improved task representation that mirrored improved behavioral efficiency. The learning process led to progressive decorrelations in initially similar hippocampal neural activity within and across tracks, ultimately resulting in orthogonalized representations resembling a state machine capturing the inherent structure of the task. We show that a Hidden Markov Model (HMM) and a biologically plausible recurrent neural network trained using Hebbian learning can both capture core aspects of the learning dynamics and the orthogonalized representational structure in neural activity. In contrast, we show that gradient-based learning of sequence models such as Long Short-Term Memory networks (LSTMs) and Transformers do not naturally produce such orthogonalized representations. We further demonstrate that mice exhibited adaptive behavior in novel task settings, with neural activity reflecting flexible deployment of the state machine. These findings shed light on the mathematical form of cognitive maps, the learning rules that sculpt them, and the algorithms that promote adaptive behavior in animals. The work thus charts a course toward a deeper understanding of biological intelligence and offers insights toward developing more robust learning algorithms in artificial intelligence.

neuroscience↗

bioRxiv2023

Neuronal Tau Pathology Worsens Late Phase White Matter Degeneration After Traumatic Brain Injury in Transgenic Mice

Traumatic brain injury (TBI) causes diffuse axonal injury which can produce chronic white matter pathology and subsequent post-traumatic neurodegeneration with poor patient outcomes. Tau modulates axon cytoskeletal functions and undergoes phosphorylation and mis-localization in neurodegenerative disorders. The effects of tau pathology on neurodegeneration after TBI are unclear. We used mice with neuronal expression of human mutant tau to examine effects of pathological tau on white matter pathology after TBI. Adult male and female hTau.P301S (Tg2541) transgenic and wild type (Wt) mice received either moderate single TBI (s-TBI) or repetitive mild TBI (r-mTBI; once daily x 5), or matched sham procedures. Acutely, s-TBI produced more extensive axon damage in the corpus callosum (CC) as compared to r-mTBI. After s-TBI, significant CC thinning was present at 6 weeks and 4 months post-injury in Wt and transgenic mice, with homozygous tau expression producing additional pathology of late demyelination. In contrast, r-mTBI did not produce significant CC thinning except at the chronic time point of 4 months in homozygous mice, which exhibited significant CC atrophy (-29.7%) with increased CC microgliosis, but not astrogliosis. Serum biomarker quantification demonstrated neurofilament light detection of early axonal damage one day post-injury in Wt and homozygous mice. At 4 months, high tau and neurofilament in homozygous mice implicated tau in chronic axon pathology. Conclusions: Neuronal tau pathology differentially exacerbated CC pathology based on injury severity and chronicity. Ongoing CC atrophy from s-TBI became accompanied by late demyelination. Pathological tau significantly worsened CC atrophy during the chronic phase after r-mTBI.

neuroscience↗

bioRxiv2023

Establishment of hairy root culture and its genetic transformation of Stephania tetrandra S. Moore for production of BIAs

Metabolic engineering improvement of plants will play an essential role in future agriculture, but this largely depends on the establishment of genetic transformation. Stephania tetrandra S. Moore is a traditional Chinese medicine used for rheumatalgia that accumulates benzylisoquinoline alkaloids as its main active ingredients. Wild or farmed plants have remained the main source of these essential medicines, resulting in supply pressure due to the scarcity of wild plant resources and the slow growth rate in cultivation. Here, we constructed Agrobacterium rhizogenes (C58C1)-mediated hairy root culture and a co-transformation system in S. tetrandra to obtain a new source of bisbenzylisoquinoline alkaloids production. We show that the biomass of the hairy roots increased by 10-fold, and the content of tetrandrine reached 8.382 {+/-} 0.160 mg/g DW after 50 days of cultivation. In addition, overexpression of (R, S)-norcoclaurine 6-O-methyltransferase (6OMT) gene or treatment of hairy roots with methyl jasmonate (MJ) increased protoberberine alkaloid content. This work provides a method of obtaining hairy roots and a genetic transformation system for S. tetrandra, not only broadening the access to S. tetrandra resources, but also laying a foundation for further elucidation of the biosynthesis of tetrandrine and related alkaloids.

plant biology↗

bioRxiv2023

Mental navigation and telekinesis with a hippocampal map-based brain-machine interface

The hippocampus is critical for recollecting and imagining experiences. This is believed to involve voluntarily drawing from hippocampal memory representations of people, events, and places, including the hippocampus map-like representations of familiar environments. However, whether the representations in such "cognitive maps" can be volitionally and selectively accessed is unknown. We developed a brain-machine interface to test if rats could control their hippocampal activity in a flexible, goal-directed, model-based manner. We show that rats can efficiently navigate or direct objects to arbitrary goal locations within a virtual reality arena solely by activating and sustaining appropriate hippocampal representations of remote places. This should provide insight into the mechanisms underlying episodic memory recall, mental simulation/planning, and imagination, and open up possibilities for high-level neural prosthetics utilizing hippocampal representations.

neuroscience↗