Biology subjects

Teng, F.

Publications and source records attributed to Teng, F..

16 recordsLinked to original sources

bioRxiv2025

OmniCell: Unified Foundation Modeling of Single-Cell and Spatial Transcriptomics for Cellular and Molecular Insights

A cells transcriptional programme is not fully defined by gene expression alone, but by the tissue context in which that programme is enacted. Single-cell RNA sequencing resolves molecular identity after dissociation, whereas spatial transcriptomics preserves tissue architecture but remains constrained by assay-specific sparsity and gene coverage. Here we present OmniCell, a tissue-contextual transcriptomic foundation model pretrained on 67 million dissociated and spatially resolved profiles. By integrating gene identity, expression magnitude and tissue context, OmniCell links transcriptional programmes to the cellular neighbourhoods and anatomical contexts in which they operate. OmniCell organised transcriptomes across molecular, cellular and tissue scales. It recovered cell-type-specific programmes and tissue-aligned gene modules, preserved robust cell-state structure across batches, species and rare populations, and improved the reconstruction of spatial cell identity, anatomical domains and cell-type composition. In human liver cancer Stereo-seq data, OmniCell resolved a tumour-margin transition zone characterised by immune infiltration, acute-phase inflammation, coagulation/complement activity and metallothionein-linked metal-ion detoxification. Contextual gene-embedding similarity analysis showed that gene relationships differed across tumour core, transition-zone and paratumour/adjacent non-malignant niches, indicating that OmniCell captures tissue-dependent gene function rather than expression similarity alone. In mouse brain development and macaque cortex, spatial virtual perturbations mapped regulatory genes onto stage- and region-specific anatomical programmes. Together, these results establish tissue context as a primary axis of transcriptomic representation and provide a framework for studying how cellular programmes acquire context-dependent biological meaning in intact tissues.

bioinformatics↗

bioRxiv2025

Comprehensive Functional Self-Antigen Screening to Assess Cross-Reactivity in a Promiscuous Engineered T-cell Receptor

T cell receptor therapeutics are an emerging modality of biologic and cell-based medicines with the unique ability to target intracellular antigens and finely discriminate between healthy and infected or mutated cells. An obstacle to the development of new T cell receptor therapeutics is the difficulty in engineering these proteins for enhanced therapeutic efficacy while avoiding introduction of unexpected off-target autoreactivity. In this study, we apply a functional high-throughput screening assay, Tope-seq, to detecting cross-reactive epitopes in libraries of >5 x 105 unique peptide-coding sequences. We retrospectively analyze an affinity-enhanced engineered T cell receptor, which previously failed clinical trials due to severe off-target toxicity caused by epitope cross-reactivity, by comprehensive functional testing against all genome-coded self-antigens. Using the Tope-seq methodology, we were able to identify the epitope mediating off-target reactivity at a significance threshold of p < 0.01 in first-pass bulk screening. We also identified other potential cross-reactive epitopes of the engineered TCR of-interest, suggesting that the need for assessing promiscuity in TCR based therapeutics is larger than previously appreciated.

immunology↗

bioRxiv2024

Mechanism of D-type cyclins recognition by the AMBRA1 E3 ligase receptor

AMBRA1 is a tumour suppressor protein that functions as a substrate receptor in the ubiquitin conjugation system and regulates the stability of D-type cyclins and cell proliferation. Here, we present the cryo-EM structure of cyclin D1 bound AMBRA1-DDB1 complex at 3.5 [A] resolution. The structure reveals a substrate interaction surface on the AMBRA1 WD40 domain that specifically binds to the C-terminal region of D-type cyclins. This interaction is dependent on the phosphorylation of Thr286 residue in the C-terminal phosphodegron site of D-type cyclins. The phosphodegron motif folds into a turn-like conformation followed by a 310 helix that promotes its assembly with AMBRA1. Additionally, we show that AMBRA1 mutants, which are defective in cyclin D1 binding, lead to cyclin D1 accumulation and DNA damage. Understanding the AMBRA1-D-type cyclins structure enhances the knowledge of the molecular mechanisms that govern the cell cycle control and may lead to new therapeutic approaches for cancers linked to abnormal cyclin D activity.

biochemistry↗

bioRxiv2024

Modulating Cellular Deformability via 3D Dextran Hydrogel Cultivation to Regulate the Microcirculation of Mesenchymal Stem Cells in Murine Spleen and Liver

For mesenchymal stem cell (MSC) therapy to be effective, the vascular system may be used to deliver and steer the cells to the target tissue. However, the expanded MSCs in petri dishes are usually have a limited deformability and commonly excluded by the capillary networks when homing to the downstream organs via microcirculation. Here, we propose to utilize specially designed 3D dextran hydrogels and tuning the microscopic heterogeneity of hydrogel composition to make the administrated cells mechanically comply with the structure and mechanics of the capillary. The cell deformability in petri dishes, microcosmically homogeneous (HOM) and heterogeneous (HET) dextran hydrogels were investigated in vitro by measuring cell moduli through atomic force microscope (AFM), analyzing the expression of cytoskeletal protein via flow cytometry and fluorescent imaging. The in vitro experimental results demonstrate a progressive increase in cell deformability from 2D dishes, to HOM-hydrogel derived cells, and then to HET-hydrogel derived cells. The in vivo mouse experiment indicates the cells could deform accordingly and pass through easily with reduced resistance inside the mouse organs. It is suggested that the main destination of hMSC microcirculation could be selected between the spleen and liver of mice, by tuning cell mechanics that depends on the stimulus from microcosmically HOM or HET hydrogel, which lays a potential foundation for the mechanically modified MSC therapy for lesions in the organs.

biophysics↗

bioRxiv2024

Do rhizobia buffer legumes against climate-mediated microbiome effects?

Climate change is altering both soil microbial communities and the ecological context of plant-microbe interactions. Heat, drought, and their legacies can alter soil microbiomes and potential plant symbionts, but the direct consequences of these microbial changes on plant performance and plant investment in symbiosis remain underexplored. Predicting how soil microbes modulate plant resilience to heat and drought is critical to mitigating the negative effects of climate change on ecosystems and agriculture. In this study, we conducted growth chamber experiments to isolate the microbially-mediated indirect effects of heat and drought on plant performance and symbiosis. In the first experiment, focused on drought, we found that drought and drought-treated microbes, along with their interaction, significantly decreased the biomass of Medicago lupulina plants compared to well-watered microbiomes and conditions. In a second experiment, we then tested how the addition of a well-known microbial mutualist, Sinorhizobium meliloti, affected heat- and drought-treated microbiomes impact on M. lupulina. We found that drought-adapted microbiomes negatively impacted legume performance by increasing mortality and reducing branch number, but that adding rhizobia erased differences in plant response to climate treated soils. In contrast, heat-adapted microbiomes did not differ significantly from control microbiomes in their effects on a legume. Our results suggest microbial legacy effects, mutualist partners, and their interactions are important in mediating plant responses to drought, with some mutualists equalizing plant responses across microbial legacies.

ecology↗

bioRxiv2024

Structural basis for membrane remodelling by the AP5:SPG11-SPG15 complex

The human spastizin (spastic paraplegia 15, SPG15) and spatacsin (spastic paraplegia 11, SPG11) complex is involved in cargo sorting from late endosomes to the Golgi, and mutations in these two proteins are linked with hereditary autosomal recessive spastic paraplegia (HSP). SPG11-SPG15 can cooperate with evolutionarily ancient fifth adaptor protein complex (AP5). We employed cryo-electron microscopy and in silico predictions to investigate the structural assemblies of SPG11-SPG15 and AP5:SPG11-SPG15 complex. The W-shaped SPG11-SPG15 intertwined in a head-to-head fashion, and the N-terminal region of SPG11 is required for AP5 complex interaction and assembly. The AP5 complex is in a super open conformation. We employed in vitro lipid binding assays and cellular localization analysis to investigate AP5:SPG11-SPG15 membrane binding properties. Here we solve a major problem in understanding AP5:SPG11-SPG15 function in autophagic lysosome reformation (ALR), using a fully reconstituted system. We reveal that the AP5:SPG11-SPG15 complex binds PI3P molecules, can sense membrane curvature and drive membrane remodelling in vitro. These studies provide key insights into the structure and function of the spastic paraplegia AP5:SPG11-SPG15 complex, which is essential for the initiation of autolysosome tubulation.

biochemistry↗

bioRxiv2024

StereoMM: A Graph Fusion Model for Integrating Spatial Transcriptomic Data and Pathological Images

Spatially resolved omics technologies generating multimodal and high-throughput data lead to the urgent need for advanced analysis to allow the biological discoveries by comprehensively utilizing information from multi-omics data. The H&E image and spatial transcriptomic data indicate abundant features which are different and complementary to each other. AI algorithms can perform nonlinear analysis on these aligned or unaligned complex datasets to decode tumoral heterogeneity for detecting functional domain. However,the interpretability of AI-generated outcomes for human experts is a problem hindering application of multi-modal analysis in clinic. We presented a machine learning based toolchain called StereoMM, which is a graph fusion model that can integrate gene expression, histological images, and spatial location. StereoMM firstly performs information interaction on transcriptomic and imaging features through the attention module, guaranteeing explanations for its decision-making processes. The interactive features are input into the graph autoencoder together with the graph of spatial position, so that multimodal features are fused in a self-supervised manner. Here, StereoMM was subjected to mouse brain tissue, demonstrating its capability to discern fine tissue architecture, while highlighting its advantage in computational speed. Utilizing data from Stereo-seq of human lung adenosquamous carcinoma and 10X Visium of human breast cancer, we showed its superior performance in spatial domain recognition over competing software and its ability to reveal tumor heterogeneity. The fusion approach for imaging and gene expression data within StereoMM aids in the more accurate identification of domains, unveils critical molecular features, and elucidates the connections between different domains, thereby laying the groundwork for downstream analysis.

bioinformatics↗

bioRxiv2023

A Synthetic Cytotoxic T cell Platform for Rapidly Prototyping TCR Function

Current tools for functionally profiling T cell receptors with respect to cytotoxic potency and cross-reactivity are hampered by difficulties in establishing model systems to test these proteins in the contexts of different HLA alleles and against broad arrays of potential antigens. We have implemented and validated a granzyme-activatable sensor of T cell cytotoxicity in a novel universal prototyping platform which enables facile recombinant expression of any combination of TCR-, peptide-, and class I MHC-coding sequences and direct assessment of resultant responses. This system consists of an engineered cell platform based on the immortalized natural killer cell line, YT-Indy, and the MHC-null antigen-presenting cell line, K562. These cells were engineered using contemporary gene-editing techniques to furnish the YT-Indy/K562 pair with appropriate protein domains required for recombinant TCR expression and function in a non-T cell chassis, integrate a fluorescence-based target-centric early detection reporter of cytotoxic function, and deploy a set of protective genetic interventions designed to preserve antigen-presenting cells for subsequent capture and downstream characterization. Our data show successful reconstitution of the surface TCR complex in the YT-Indy cell line at biologically relevant levels. We also demonstrate successful induction and highly sensitive detection of antigen-specific response in multiple distinct model TCRs, with significant responses (p < 0.05 and Cohens d >1.9) in all cases. Additionally, we monitored destruction of targets in co-culture and found that our survival-optimized system allowed for complete preservation after 24-hour exposure to cytotoxic effectors. With this bioplatform, we anticipate investigators will be empowered to rapidly express and characterize T cell receptor responses, generate new knowledge regarding the patterns of T cell receptor recognition, and optimize novel therapeutic T cell receptors for improved cytotoxic potential and reduced cross-reactivity to undesired antigenic targets.

immunology↗

bioRxiv2023

Free long chain fatty acid solitarily primes early postembryonic development in Caenorhabditis elegans under starvation

Postembryonic development of animals is long considered an internal predetermined program, while macronutrient is essential only because they provide biomatters and energy to support this process. However, in this study, by using a nematode Caenorhabditis elegans model, we surprisingly found that dietary supplementation of palmitic acid alone, but not other essential nutrients of abundance such as glucose or amino acid mixture, sufficiently initiated the early postembryonic development under complete macronutrient deprivation. Such a development was indicated by changes in morphology, cellular markers in multiple tissues, behaviors and the global transcription pattern. Mechanistically, palmitate doesnt function as a biomatter/energy provider, but as a ligand to activate the nuclear hormone receptor NHR-49/80 and generate an obscure peroxisome-derived secretive hormone in the intestine. Such a hormonal signal was received by chemosensory neurons in the head in regulating the insulin-like neuropeptide secretion and its downstream nuclear receptor to orchestrate the global development. Moreover, the nutrient-sensing hub mTORC1 played a negative role in this process. In conclusion, our data indicate that free fatty acid acts as a prime nutrient signal to launch the early development in C. elegans; and implicate that specific nutrient rather than the internal genetic program is the first impetus of postembryonic development.

developmental biology↗

bioRxiv2023

StereoCell enables high accuracy single cell segmentation for spatial transcriptomic dataset

BackgroundOwing to recent advances in resolution and field-of-view, spatially resolved transcriptomics sequencing, such as Stereo-seq, has emerged as a cutting-edge technology for the interpretation of large tissues at the single-cell level. To generate accurate single-cell spatial gene expression profiles from high-resolution spatial omics data, a powerful computational tool is required. FindingsWe present CellBin, an image-facilitated one-stop pipeline for high-resolution and large field-of-view spatial transcriptomic data of Stereo-seq. CellBin provides a comprehensive and systematic platform for generating high-confidence single-cell spatial gene expression profiles, which specifically includes image stitching, image registration, tissue segmentation, nuclei segmentation and molecule labeling. CellBin is user-friendly and does not require a specific level of omics and image analysis expertise. ConclusionsDuring image stitching and molecule labeling, CellBin delivers better-performing algorithms to reduce stitching error and time, in addition to improving the signal-to-noise ratio of single-cell gene expression data, in comparison with existing methods. Additionally, CellBin has been shown to obtain highly accurate single-cell spatial data using mouse brain tissue, which facilitated clustering and annotation.

bioinformatics↗

bioRxiv2022

StereoSiTE: A framework to spatially and quantitatively profile the cellular neighborhood organized iTME

With emerging of Spatial Transcriptomics (ST) technology, a powerful algorithmic framework to quantitatively evaluate the active cell-cell interactions in the bio-function associated iTME unit will pave the ways to understand the mechanism underlying tumor biology. This study provides the StereoSiTE incorporating open source bioinformatics tools with the self-developed algorithm, SCII, to dissect a cellular neighborhood (CN) organized iTME based on cellular compositions, and to accurately infer the functional cell-cell communications with quantitatively defined interaction intensity in ST data. We applied StereoSiTE to deeply decode ST data of the xenograft models receiving immunoagonist. Results demonstrated that the neutrophils dominated CN5 might attribute to iTME remodeling after treatment. To be noted, SCII analyzed the spatially resolved interaction intensity inferring a neutrophil leading communication network which was proved to actively function by analysis of Transcriptional Factor Regulon and Protein-Protein Interaction. Altogether, StereoSiTE is a promising framework for ST data to spatially reveal tumoribiology mechanisms.

cancer biology↗

bioRxiv2022

Structural basis for substrate recruitment by AMBRA1 E3 ligase receptor

AMBRA1 is a tumor suppressor protein that functions as a substrate receptor of the ubiquitin conjugation system as part of autophagy and cell-cycle regulatory network. The highly intrinsic disorder of AMBRA1 has so far precluded its structural determination. To solve this problem, we analyzed the domain organization and dynamics of AMBRA1 using hydrogen deuterium exchange mass spectrometry (HDX-MS). High deuterium uptake indicates that AMBRA1 is a dynamic and largely unstructured protein, and can be stabilized upon interaction with DDB1, the adaptor of the Cullin4A/B E3 ligase complex. Here we present the cryo-EM structure of AMBRA1 in complex with DDB1 at 3 [A] resolution. The structure shows that parts of N- and C-terminal structural regions in AMBRA1 fold together into the highly dynamic WD40 domain, and reveals how DDB1 engages with AMBRA1 to create a binding scaffold for substrate recruitment. AMBRA1 uses its N-terminal helix-loop-helix and WD40 domain to bind the double-propeller fold of DDB1, whereas different regions target the specific cellular substrates for ubiquitination. We also demonstrate that DDB1 binding-defective AMBRA1 mutants prevent ubiquitination of the substrate Cyclin D1 in vitro and decreased number of autophagosomes in the cells. Together, these results provide structural insights into AMBRA1-ubiquitin ligase complex and suggests a mechanism by which the AMBRA1 acts as a hub involved in various physiological processes.

biochemistry↗

bioRxiv2020

Monomethyl branched-chain fatty acid mediates amino acid sensing by mTORC1

Animals have developed various nutrient-sensing mechanisms for survival under fluctuating environments. Although extensive cultured cell-based analyses have discovered diverse mediators of amino acid sensing by mTOR, studies using animal models to illustrate intestine-initiated amino acid sensing mechanisms under specific physiological conditions are lacking. Here we developed a Caenorhabditis elegans model to examine the impact of amino acid deficiency on development. We discovered a leucine-derived monomethyl branched-chain fatty acid, and downstream glycosphingolipid, that critically mediate overall amino acid sensing by intestinal and neuronal mTORC1 that, in turn, regulates postembryonic development partly by controlling protein translation and ribosomal biogenesis. Additional data suggest that a similar mechanism may be conserved in mammals. This study uncovers an unexpected amino acid sensing mechanism mediated by a lipid biosynthesis pathway.

cell biology↗

bioRxiv2020

Longitudinal multi-omics along gingivitis development reveal a suboptimal-health gum state with periodontitis-like microbiome

Most adults experience episodes of gingivitis, which can progress to the irreversible, chronic state of periodontitis. However the mechanistic roles of plaque in gingivitis onset and progression to periodontitis remain elusive. Here, we integrated the longitudinal multi-omics data from plaque metagenome, metabolome and salivary cytokines in 40 adults who transit from naturally-occurring gingivitis (NG), to healthy gingivae (baseline) and then to experimental gingivitis (EG). During EG, rapid and consistent alterations in plaque microbiota, metabolites and salivary cytokines emerged as early as 24-72 hours after pause of oral hygiene, defining an asymptomatic sub-optimal health (SoH) stage. SoH also features a steep and synergetic decrease of plaque-derived betaine and Rothia spp., suggesting an anti-gum-inflammation mechanism by health-promoting microbial residents. Global, cross-cohort meta-analysis revealed a high Microbiome-based Periodontitis Index at SoH state, due to its convergent taxonomical and functional profiles towards those of periodontitis. In contrast, caries SoH features a microbial signature very distinct from caries. Thus SoH is a universal state of polymicrobial inflammations with disease-specific features, which is key to maintaining a disease-preventive plaque.

microbiology↗

bioRxiv2020

Micro-XRF study of the troodontid dinosaur Jianianhualong tengi reveals new biological and taphonomical signals

Jianianhualong tengi is a key taxon for understanding the evolution of pennaceous feathers as well as troodontid theropods, and it is known by only the holotype, which was recovered from the Lower Cretaceous Yixian Formation of western Liaoning, China. Here, we carried out a large-area micro-X-Ray fluorescence (micro-XRF) analysis on the holotypic specimen of Jianianhualong tengi via a Brucker M6 Jetstream mobile XRF scanner. The elemental distribution measurements of the specimen show an enrichment of typical bones couponing elements such as S, P and Ca allowing to visualize the fossil structure. Additionally, to this, the bones are enriched in several heavier elements such as Sr, Th, Y and Ce over the surrounding rocks. The enrichment is most likely associated to secondary mineralization and the phosphates from the bones. Interestingly the plumage shape correlates with an enrichment in elements such as Cu, Ni and Ti, consistent with a previous study [1] on Archaeopteryx using synchrotron imaging. The analysis presented here provide new biological and taphonomic information of this fossil. An in-situ and nondestructive micro-XRF analysis is currently the most ideal way to map the chemistry of fossils, so far this is manly restricted to small samples. Larger samples usually required a synchrotron facility for analysis. Our study demonstrated that laboratory-based large-area micro-XRF scanner can provides a practical tool for the study of large large-sized specimens allowing collect full chemical data for a better understanding of evolutionary and taphonomic processes.

paleontology↗

bioRxiv2020

SARS-CoV-2 proteome microarray for mapping COVID-19 antibody interactions at amino acid resolution

COVID-19 has quickly become a worldwide pandemic, which has significantly impacted the economy, education, and social interactions. Understanding the humoral antibody response to SARS-CoV-2 proteins may help identify biomarkers that can be used to detect and treat COVID-19 infection. However, no immuno-proteomics platform exists that can perform such proteome-wide analysis. To address this need, we created a SARS-CoV-2 proteome microarray to analyze antibody interactions at amino acid resolution by spotting peptides 15 amino acids long with 5-amino acid offsets representing full-length SARS-CoV-2 proteins. Moreover, the array processing time is short (1.5 hours), the dynamic range is ~2 orders of magnitude, and the lowest limit of detection is 94 pg/mL. Here, the SARS-CoV-2 proteome array reveals that antibodies commercially available for SARS-CoV-1 proteins can also target SARS-CoV-2 proteins. These readily available reagents could be used immediately in COVID-19 research. Second, IgM and IgG immunogenic epitopes of SARS-CoV-2 proteins were profiled in the serum of ten COVID-19 patients. Such epitope biomarkers provide insight into the immune response to COVID-19 and are potential targets for COVID-19 diagnosis and vaccine development. Finally, serological antibodies that may neutralize viral entry into host cells via the ACE2 receptor were identified. Further investigation into whether these antibodies can inhibit the propagation of SARS-CoV-2 is warranted. Antibody and epitope profiling in response to COVID-19 is possible with our peptide-based SARS-COV-2 proteome microarray. The data gleaned from the array could provide invaluable information to the scientific community to understand, detect, and treat COVID-19.

biochemistry↗