Biology subjects

Wu, L.

Publications and source records attributed to Wu, L..

At least 163 records · Page 9Linked to original sources

bioRxiv2024

Chemical imaging unveils mitochondria as the major site of medicinal biguanide accumulation within cells

Metformin (MET), a commonly prescribed medication for managing type 2 diabetes, has demonstrated various beneficial effects beyond its primary anti-diabetic efficacy. However, the mechanism underlying MET activity and its distribution within organelles remain largely unknown. In this study, we integrate multiple technologies, including chemical labeling, immunostaining, and high-resolution microscopy imaging, to visualize the accumulation of MET in organelles of cultured cells. To achieve this objective, an alkynylated MET probe is developed that preserves biological activity similar to biguanide drugs. As determined by biorthogonal chemical labeling and imaging, the MET probe selectively localizes to substructures within cells, contrasting with its probe control. Furthermore, the MET probe can be competitively and efficiently washed out through biguanide administration, demonstrating the specific activity of this probe in monitoring the cellular dynamics of biguanide drugs. Our results indicate that the MET probe can reach near-saturated concentrations within two hours and is rapidly eliminated within an additional two hours once the exogenous source of the drug is removed. Furthermore, we reveal that the MET probe primarily accumulates in mitochondria, particularly within the mitochondrial matrix, and has a minor presence in other organelles, such as lysosomes and endosomes. Together, this study provides the first view of the MET subcellular localization and lays the foundation for future investigations on its molecular targets and mechanisms of action in promoting human health.

molecular biology↗

bioRxiv2023

Predicting neutralization susceptibility to combination HIV-1 monoclonal broadly neutralizing antibody regimens

Combination monoclonal broadly neutralizing antibodies (bnAbs) are currently being developed for preventing HIV-1 infection. Recent work has focused on predicting in vitro neutralization potency of both individual bnAbs and combination regimens against HIV-1 pseudoviruses using Env sequence features. To predict in vitro combination regimen neutralization potency against a given HIV-1 pseudovirus, previous approaches have applied mathematical models to combine individual-bnAb neutralization and have predicted this combined neutralization value; we call this the combine-then-predict (CP) approach. However, prediction performance for some individual bnAbs has exceeded that for the combination, leading to another possibility: combining the individual-bnAb predicted values and using these to predict combination regimen neutralization; we call this the predict-then-combine (PC) approach. We explore both approaches in both simulated data and data from the Los Alamos National Laboratorys Compile, Neutralize, and Tally NAb Panels repository. The CP approach is superior to the PC approach when the neutralization outcome of interest is binary (e.g., neutralization susceptibility, defined as inhibitory concentration < 1 {micro}g/mL. For continuous outcomes, the CP approach performs at least as well as the PC approach, and is superior to the PC approach when the individual-bnAb prediction algorithms have poor performance. This knowledge may be used when building prediction models for novel antibody combinations in the absence of in vitro neutralization data for the antibody combination; this, in turn, will aid in the evaluation and down-selection of these antibody combinations into prevention efficacy trials.

bioinformatics↗

bioRxiv2023

Revisiting the Kuleshov effect with authentic films: A behavioral and fMRI study

As a fundamental film theory, montage theory posits that film editing significantly influences the viewers perception. The Kuleshov effect, a central concept in montage theory, proposes that the emotional interpretation of neutral facial expressions is influenced by the accompanying emotional scene in a face-scene-face sequence. However, concerns persist regarding the validity of previous studies, often employing inauthentic film materials like static images, leaving the question of its existence in authentic films unanswered. This study addresses these concerns by utilizing authentic films in two experiments. In Experiment 1, multiple film clips were captured under the guidance of a professional film director and seamlessly integrated into authentic film sequences. A total of 59 participants viewed these face-scene-face film sequences and were tasked with rating the valence of neutral faces. The findings revealed that the interpretation of emotion in neutral faces is significantly influenced by the accompanying fearful or happy scene, eliciting perceptions of negative or positive emotion from the neutral face. These results affirm the existence of the Kuleshov effect within authentic film sequences. In Experiment 2, 31 participants engaged in a similar task under functional magnetic resonance imaging (fMRI). The results revealed neural correlates supporting the existence of the Kuleshov effect at a neural level. These correlates include the cuneus, precuneus, hippocampus, parahippocampal gyrus, post cingulate gyrus, orbitofrontal cortex, fusiform gyrus, and insula. These findings also underscore the contextual framing inherent in the Kuleshov effect. By seamlessly integrating film theory and cognitive neuroscience experiments, this comprehensive study provides robust evidence supporting the existence of the Kuleshov effect. It significantly enhances our understanding of film editing and its profound impact on viewers perception.

neuroscience↗

bioRxiv2023

MetaVision3D: Automated framework for the Generation of Spatial Metabolome Atlas in 3D

High-resolution spatial imaging is transforming our understanding of foundational biology. Spatial metabolomics is an emerging field that enables the dissection of the complex metabolic landscape and heterogeneity from a thin tissue section. Currently, spatial metabolism highlights the remarkable complexity in two-dimensional space and is poised to be extended into the three-dimensional world of biology. Here, we introduce MetaVision3D, a novel pipeline driven by computer vision techniques for the transformation of serial 2D MALDI mass spectrometry imaging sections into a high-resolution 3D spatial metabolome. Our framework employs advanced algorithms for image registration, normalization, and interpolation to enable the integration of serial 2D tissue sections, thereby generating a comprehensive 3D model of unique diverse metabolites across host tissues at mesoscale. As a proof of principle, MetaVision3D was utilized to generate the mouse brain 3D metabolome atlas (available at https://metavision3d.rc.ufl.edu/) as an interactive online database and web server to further advance brain metabolism and related research.

neuroscience↗

bioRxiv2023

Accelerating protein engineering with fitness landscape modeling and reinforcement learning

Protein engineering holds significant promise for designing proteins with customized functions, yet the vast landscape of potential mutations versus limited lab capacity constrains the discovery of optimal sequences. To address this, we present the {micro}Protein framework, which accelerates protein engineering by combining {micro}Former, a deep learning model for accurate mutational effect prediction, with {micro}Search, a reinforcement learning algorithm designed to efficiently navigate the protein fitness landscape using {micro}Former as an oracle. {micro}Protein leverages single mutation data to predict optimal sequences with complex, multi-amino acid mutations through its modeling of epistatic interactions and a multi-step search strategy. Except from state-of-the-art performance on benchmark datasets, {micro}Protein identified high-gain-of-function multi-point mutants for the enzyme {beta}-lactamase, surpassing the highest known activity level, in wet-lab, trained solely on single mutation data. These results demonstrate {micro}Proteins capability to discover impactful mutations across vast protein sequence space, offering a robust, efficient approach for protein optimization.

synthetic biology↗

bioRxiv2023

MEM-GAN: A Pseudo Membrane Generator for Single-cell Imaging in Fluorescent Microscopy

Fluorescent microscopy imaging is vital to capturing single-cell spatial data, characterizing tissue organization and facilitating comprehensive analysis of cellular state. Advancements in fluorescent microscopy imaging technologies have enabled precise downstream cellular analysis, particularly in cell segmentation. Accurate segmentation of individual cells allows better profiling and understanding of cell properties and behaviors. The majority of existing segmentation methods predominantly concentrate on enhancing segmentation algorithms, and their effectiveness strongly relies on the input stained image quality. Factors such as high cellular density, indistinct cell boundaries, and staining artifacts can result in uneven and low-quality staining, particularly causing missing or unclear membrane staining. These artifacts adversely impact the efficacy of the subsequent cell segmentation methods. To tackle this insufficient membrane staining, we propose a novel approach, MO_SCPLOWEMC_SCPLOW-GAN, to generate high-quality membranes for cells with missing or weak membranes. Inspired by advanced style transfer techniques in computer vision, MO_SCPLOWEMC_SCPLOW-GAN styles the content of the cells with missing or weak membranes into cells with integrated membrane staining. Considering the differences in membrane morphology between epithelial/tumor cells and immune cells, MO_SCPLOWEMC_SCPLOW-GAN deals with tumor and immune cells separately, not only enhancing membrane staining for cells with partially weak membrane signals but also generating membranes for cells with only nuclear channels. The proposed MO_SCPLOWEMC_SCPLOW-GAN is evaluated using the publicly available CosMx dataset. Experimental results demonstrate significant improvements in image staining quality, more accurate representation of membrane morphology characteristics, and better performance in downstream segmentation tasks. MO_SCPLOWEMC_SCPLOW-GAN is flexibly adapted and applied to other spatially resolved transcriptomics datasets, such as MERFISH and FISHseq. Our work provides a new perspective on tackling the challenges in cell segmentation from fluorescent microscopy image restoration. The implementation of MO_SCPLOWEMC_SCPLOW-GAN is open-source and available at the github repository https://github.com/OmicsML/Mem-GAN. The interactive webserver-based demo of MO_SCPLOWEMC_SCPLOW-GAN can be accessed at http://omicsml.ai/memgan.

bioinformatics↗

bioRxiv2023

coRIC map: a framework for the exploration of multifaceted subcellular RNA-binding proteins

The ability of RNA-binding proteins (RBPs) to form complexes with other biomolecules underpins a broad range of functions and remarkable structural properties. Understanding the precise spatiotemporal dynamics of RBPs and their interacting partners in the steady state and upon perturbation is key to deciphering these aspects. Here, we present the coRIC (compartmentalized RNA Interactome Capture) map, an experimental resource and analytical pipeline to study the subcellular dynamics of RBPs through multimodal dataset integration and machine learning. Using this approach, we have generated an atlas comprising 1,768 RBPs distributed in a broad panel of subcellular compartments and delineated their intermolecular and intercompartmental relationships. We have also defined the hierarchy of RBP-containing complexes at multiple scales across the cell, uncovering previously unknown functions of multiple RBPs. Furthermore, we have investigated the changes in RBP complex composition and subcellular distribution in response to C9ORF72 amyotrophic lateral sclerosis/frontotemporal dementia dipeptide repeats and DNA damage stress. The coRIC map provides a valuable new approach for defining the roles of RBPs in homeostasis and disease.

cell biology↗

bioRxiv2023

Dynamic Regulation of Innate Lymphoid Cell Development During Ontogeny

Innate lymphoid cells (ILCs) are crucial for maintaining tissue homeostasis. The dynamic composition of ILC subsets during ontogeny has been observed for over a decade, yet the underlying mechanisms remain incompletely understood. Here, we combined differentiation assay and scRNA-seq analysis to compare the fetal and adult ILC development, and assessed their contribution to the dynamic change of ILC subsets. We revealed the preference for LTi cell differentiation in fetal hematopoietic progenitors, contrasted with a non-LTi differentiation bias in adult stages. Our analyses elucidated that the two stages shared a conserved differentiation trajectory and regulatory programs but used different controlling logic. Through computational prediction and dose-response experiments, we proposed a model where a transition from fetal ROR{gamma}t-dominant states to adult Notch-GATA3-dominant states orchestrates these changes. This study suggests that ILC development can be modulated to accommodate the varying demands for specific ILC subsets within the body at different developmental stages. HighlightO_LIThe ratio of LTi cells to non-LTi ILCs decreases from fetal to adult stage C_LIO_LIModified fate determination of ILC progenitors contributes to this decrease of LTi cell ratio during ontogeny C_LIO_LIA conserved trajectory exists from early LPs to Innate Lymphoid Cell Precursors (ILCPs) during both fetal and adult ILC development C_LIO_LIEnhanced activity of Notch-GATA3 signaling in ILC precursors accounts for the transition of their differentiation from LTi cells in the fetal to non-LTi ILCs in adults. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=181 SRC="FIGDIR/small/565141v2_ufig1.gif" ALT="Figure 1"> View larger version (85K): org.highwire.dtl.DTLVardef@11a031eorg.highwire.dtl.DTLVardef@c2d652org.highwire.dtl.DTLVardef@184cdfeorg.highwire.dtl.DTLVardef@1efe7ae_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2023

Non-canonical hepatic androgen receptor mediates glucagon sensitivity in female mice through the PGC1α/ERRα/mitochondria axis

The hormone glucagon plays a crucial role in maintaining normal blood glucose levels and has recently been found to promote liver lipid catabolism in both clinical and basic research studies. However, the mechanisms by which glucagon signaling synchronizes glucose and lipid metabolism in the liver remain poorly understood. Here, we report that hepatic androgen receptor (AR) functions as a critical mediator of glucagon signaling, contributing to sexual dimorphism in hepatic glucagon sensitivity. The inhibition of AR, either through chemical or genetic means, impairs the ability of glucagon to stimulate gluconeogenesis and lipid catabolism in primary hepatocytes. Notably, female mouse hepatocytes express up to three times more AR than their male littermates. Consequently, they respond to glucagon to a much greater extent in terms of glucose production and lipid catabolism outcomes. Moreover, liver-specific AR knockout impairs the effect of glucagon in inducing blood glucose production, especially in female mice. Mechanistically, we demonstrate that hepatic AR drives a PGC1/ERR-mitochondria axis to promote lipid catabolism for liver glucose production in response to glucagon treatment. Together, our study sheds light on the role of hepatic AR in mediating glucagon activity in orchestrating glucose and lipid metabolism, particularly in female mice. These findings may help elucidate the factors responsible for sex differences in glucagon sensitivity and the development of fatty liver disease.

physiology↗

bioRxiv2023

Novel hypervariable erythrocyte surface expressed recombinant proteins show promise as serological markers of exposure to Plasmodium falciparum infection.

Malaria caused by Plasmodium spp. leads to significant morbidity and mortality, particularly in Sub-Saharan African countries with Plasmodium falciparum being the predominant infectious species. The pathogenesis of P. falciparum depends on multiple host and parasitic factors, one of which is the evasion of host immune response due to antigenic variability during the blood stage of infection. The understudied infected erythrocyte expressed protein families STEVOR and RIFIN characterize with antigenic hypervariability and are associated with clinical outcome of the infection and protective acquired immunity based on their topology and localization. We have used two molecular tag methods for successful expression of members of STEVOR and RIFIN protein families as recombinant proteins in E. coli expression system. We have further established the antigenicity of those recombinants and have used Ugandan cohort samples with various P. falciparum infectious status and have compared the seropositivity rate to those recombinants in different age groups against already established short- and long-term markers of infection. We have demonstrated age-dependent immunity acquisition against the tested recombinants, and we have suggested the potential use of STEVOR and RIFIN recombinants as novel markers of P. falciparum infection in serosurveillance. Due to the hypervariability of those protein members we propose that further, more extensive research using a library of expressed variants is needed to strengthen the conclusions made in this study.

immunology↗

bioRxiv2023

Brief change in dopamine activity during consolidation impairs long-term memory via sleep disruption

Sleep disturbances are associated with poor long-term memory (LTM) formation, yet the underlying cell types and neural circuits involved have not been fully decoded. Dopamine neurons (DANs) are involved in memory processing at multiple stages. Here, using both male and female flies, Drosophila melanogaster, we show that, during the first few hours of memory consolidation, disruption of basal activity of a small subset of protocerebral anterior medial DANs (PAM-DANs), by either brief activation or inhibition of the two dorsal posterior medial (DPM) neurons, impairs 24 h LTM. Interestingly, these brief changes in activity using female flies result in sleep loss and fragmentation, especially at night. Importantly, pharmacological rescue of sleep after manipulation restores LTM. A specific subset of PAM-DANs (PAM-1) that synapse onto DPM neurons specify the microcircuit that links sleep and memory. MBON-1 also contributes to the integration of sleep and memory by acting as an additional parallel circuit. PAM-DANs, including PAM-1, form functional synapses onto DPM mainly via two dopamine receptor subtypes. Dop1R1 primarily mediates the link between sleep and memory. This PAM-1 to DPM microcircuit exhibits a synchronized, transient, post-training change in activity during the critical memory consolidation window, suggesting an effect of this microcircuit on maintaining the sleep necessary for LTM consolidation. Our results provide a new molecular and circuit basis for the complex relationship between sleep and memory.

neuroscience↗

bioRxiv2023

Efficient inhibition of fusion inhibitor HY3000 peptide to SARS-CoV-2 emerging EG.5, EG.5.1 and BA.2.86 variants

SARS-CoV-2 continues to evolve and spread. Recently, the Omicron EG.5 lineage, bearing an additional F456L mutation in spike (S) protein compared to its ancestor XBB.1.9.2, and its sub-variant EG.5.1, which carries a further Q52H mutation, have raised concerns due to their increased prevalence and extended immune escape properties. Additionally, an alarming variant, BA.2.86, has also garnered global concern because it contains over 30 amino acid mutations in its S protein compared to BA.2, including more than 10 changes in receptor-binding domain (RBD), reminiscent of the appearance of the Omicron variant in late 2021. Therefore, there is an urgent need to assess the effectiveness of current vaccines and therapeutics against EG.5, EG.5.1 and BA.2.86. In our previous work, we reported the design and broad-spectrum antiviral activity of a peptide fusion inhibitor HY3000 against SARS-CoV-2 and its variants including XBB.1.5. Here, we continued to evaluate the inhibitory potency of the HY3000 peptide against the prevailing EG.5 and EG.5.1, as well as XBB.1.16, FL.1.5.1, FY.3 and BA.2.86. Our data indicated that the peptide retained its potent inhibitory activities against these variants, indicating its potential as a good virus fusion inhibitor with broad-spectrum therapeutic effect against current and future SARS-CoV-2 variants. Currently, the HY3000 has been finished in Phase II clinical trial in China and has also been approved to conduct clinical investigation by U.S. Food and Drug Administration (FDA), suggesting a good application prospect against the ongoing COVID-19.

microbiology↗

bioRxiv2023

Spatial transcriptomics and single-nucleus RNA sequencing reveal a transcriptomic atlas of adult human spinal cord

Despite the recognized importance of the spinal cord in sensory processing, motor behaviors, and neural diseases, the underlying organization of neuronal clusters and their spatial location remain elusive. Recently, several studies have attempted to define the neuronal types and functional heterogeneity in the spinal cord using single-cell or single-nucleus RNA sequencing in animal models or developing humans. However, molecular evidence of cellular heterogeneity in the adult human spinal cord is limited. Here, we classified spinal cord neurons into 21 subclusters and determined their distribution from nine human donors using single-nucleus RNA sequencing and spatial transcriptomics. Moreover, we compared the human findings with previously published single-nucleus data of the mouse adult spinal cord, which revealed an overall similarity in the neuronal composition of the spinal cord between the two species while simultaneously highlighting some degree of heterogeneity. Additionally, we examined the sex differences in the spinal neuronal subclusters. Several genes, such as SCN10A and HCN1, showed sex differences in motor neurons. Finally, we classified human dorsal root ganglia (DRG) neurons using spatial transcriptomics and explored the putative interactions between DRG and spinal cord neuronal subclusters. In summary, these results illustrate the complexity and diversity of spinal neurons in humans and provide an important resource for future research to explore the molecular mechanisms underlying spinal cord physiology and diseases.

neuroscience↗

bioRxiv2023

MUSTANG: MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance

AO_SCPLOWBSTRACTC_SCPLOWSpatially resolved transcriptomics has revolutionized genome-scale transcriptomic profiling by providing high-resolution characterization of transcriptional patterns. We here present our spatial transcriptomics analysis framework, MUSTANG (MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance), which is capable of performing multi-sample spatial transcriptomics spot cellular deconvolution by allowing both cross-sample expression based similarity information sharing as well as spatial correlation in gene expression patterns within samples. Experiments on two real-world spatial transcriptomics datasets demonstrate the effectiveness of MUSTANG in revealing biological insights inherent in cellular characterization of tissue samples under the study. MUSTANG is publicly available at at https://github.com/namini94/MUSTANG

bioinformatics↗

bioRxiv2023

Improved Super-Resolution Ribosome Profiling Revealed Prevalent Translation of Upstream ORFs and Small ORFs in Arabidopsis

A crucial step in functional genomics is identifying actively translated open reading frames (ORFs) that link biological functions. The challenge lies in identifying short ORFs, as they are greatly impacted by data quality and depth. Here, we improved the coverage of super-resolution Ribo-seq in Arabidopsis, revealing uncharacterized translation events in nucleus-, chloroplast-, and mitochondria-encoded genes. We identified 7,751 unconventional translation events, including 6,996 upstream ORFs (uORFs) and 209 downstream ORFs on annotated protein-coding genes, as well as 546 ncORFs on presumed non-coding RNAs. Proteomics data confirmed the production of stable proteins from some of the unannotated translation events. We present evidence of active translation on primary transcripts of tasiRNAs (TAS1-4) and microRNAs (pri-miR163, pri-miR169), and periodic ribosome stalling supporting co-translational decay. Additionally, we developed a method for identifying extremely short uORFs, including 370 minimum uORF (AUG-stop), and 2,984 tiny uORFs (2-10 aa), as well as 681 uORFs that overlap with each other. Remarkably, these short uORFs exhibit strong translational repression as longer uORFs. We also systematically discovered 594 uORFs regulated by alternative splicing, suggesting widespread isoform-specific translational control. Finally, these prevalent uORFs are associated with numerous important pathways. In summary, our improved Arabidopsis translational landscape provides valuable resources to study gene expression regulation.

genomics↗

bioRxiv2023

Seeding Activity of Skin Misfolded Tau as a Novel Biomarker for Tauopathies

Tauopathies are a group of age-related neurodegenerative diseases with a molecular hallmark of the prion-like propagation and accumulation of pathologically phosphorylated tau protein in the brain. They include Alzheimers disease (AD), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and Picks disease (PiD). Currently, in the peripheral tissues and body fluids there are no reliable diagnostic biomarkers available that are able to directly reflect the capability of propagation and spreading of the misfolded tau aggregates. Here, we revealed significantly increased amounts of phosphorylated tau in the skin of AD patients compared to those in other tauopathies and normal controls. Moreover, the seed-amplification assay (SAA) by the ultrasensitive real-time quaking-induced conversion (RT-QuIC) displayed that the prion-like seeding activity of pathological tau in the skin of cadavers with neuropathologically confirmed tauopathies including AD, PSP, CBD, PiD was dramatically higher than that in normal controls, yielding 75-80% sensitivity and 95-100% specificity, respectively, depending on different tau substrates used. The increased tau-seeding activity was also observed in biopsy skin samples from living AD and PSP patients. Moreover, analysis of the end products of skin-tau SAA confirmed that the increased seeding activity is accompanied with formation of tau aggregates that are of different physicochemical properties determined by the different tau-substrates used. Our study provides proof-of-concept that the skin tau-SAA can differentiate tauopathies from normal controls, suggesting that the seeding activity of the skin misfolded tau can serve as an accurate diagnostic biomarker of tauopathies.

neuroscience↗

bioRxiv2023

New tree shrew Parkinson's model: a cost-effective alternative to monkey models

The surge in demand for experimental monkeys has led to a rapid increase in their associated costs. Consequently, there is a growing need for the development of a cost-effective model for Parkinsons disease (PD) that exhibits all core clinical and pathological phenotypes of PD. Evolutionarily, tree shrews (Tupaia belangeri) are much closer to primates in comparison to rodents and share more similar PD-related brain structures and movement ability with monkeys. As such, tree shrews represent an ideal small animal species for modeling PD. To develop a tree shrew PD model, we used the 1-Methyl-4-phenylpyridinium (MPP+) metabolite, derived from the well-established PD modeling drug 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), to induce lesions in the dopaminergic neurons of the unilateral substantia nigra. After determining the optimal modeling dosage, the tree shrews consistently exhibited and maintained all classic clinical manifestations of PD for a 5-month period. The symptoms closely resembled the ones observed in PD monkeys and included bradykinesia, rest tremor, postural instability, and apomorphine-induced rotations, a classic phenotype of unilateral PD models. Immunostaining showed a significant loss of dopaminergic neurons (approximately 95%) in the substantia nigra on the lesioned side of the brain, a crucial pathological marker of PD. Further cytomorphological analysis revealed that the size of nigral dopaminergic neurons in tree shrews exceeded that of rodents and more closely approximated that of macaques. Based on the principle that structure determines function, the morphological similarity between tree shrews and monkeys may be an important structural basis for the manifestation of the highly similar phenotypes between monkey and tree shrew PD models. Collectively, this study successfully developed a PD model in a small animal species that faithfully recapitulated the classical clinical symptoms and key pathological indicators of PD monkeys. In addition to the well-recognized monkey models, the tree shrew model provides a novel avenue for the evaluation of PD treatments and underlying mechanisms.

neuroscience↗

bioRxiv2023

Inferring cell trajectories of spatial transcriptomics via optimal transport analysis

The integration of cell transcriptomics and spatial coordinates to organize differentiation trajectories remains a challenge. Here we introduce spaTrack, a trajectory inference method using optimal transport to incorporate both transcriptomics and distance of spatial transcriptomics sequencing data into transition costs. spaTrack could construct fine spatial trajectories reflecting the true differentiation topology, as well as trace cell dynamics across multiple samples with temporal intervals. To capture the dynamic drivers, spaTrack models the cell fate as a function of expression profile along temporal intervals driven by transcription factors. Applying spaTrack, we successfully disentangle spatiotemporal trajectories of axolotl telencephalon regeneration and mouse midbrain development. Furthermore, we uncover diverse malignant lineages expanding in a primary tumor. One of the lineages with upregulated extracellular matrix organization implants to the metastatic site and subsequently colonizes to a secondary tumor. Overall, spaTrack greatly facilitates trajectory inference from spatial transcriptomics, providing insights in cell differentiation of broad areas.

bioinformatics↗