Biology subjects

Zhang, L.

Publications and source records attributed to Zhang, L..

At least 487 records · Page 27Linked to original sources

bioRxiv2025

stDyer-image improves clustering analysis of spatially resolved transcriptomics and proteomics with morphological images

Spatially resolved transcriptomics (SRT) and spatially resolved proteomics (SRP) data enable the study of gene expression and protein abundances within their precise spatial and cellular contexts in tissues. Certain SRT and SRP tech-nologies also capture corresponding morphology images, adding another layer of valuable information. However, few existing methods developed for SRT data effectively leverage these supplementary images to enhance clustering performance. Here, we introduce stDyer-image, an end-to-end deep learning framework designed for clustering for SRT and SRP datasets with images. Unlike existing methods that utilize images to complement gene expression data, stDyer-image directly links image features to cluster labels. This approach draws inspiration from pathologists, who can visually identify specific cell types or tumor regions from morphological images without relying on gene expression or protein abundances. Benchmarks against state-of-the-art tools demonstrate that stDyer-image achieves superior performance in clustering. Moreover, it is capable of handling large-scale datasets across diverse technologies, making it a versatile and powerful tool for spatial omics analysis.

bioinformatics↗

bioRxiv2025

SCGclust: Single Cell Graph clustering using graphautoencoders integrating SNVs and CNAs

Intra-tumor heterogeneity (ITH) is a compounding factor for cancer prognosis and treatment. Single-cell DNA sequencing (scDNA-seq) provides cellular resolution of the variations in a cell and has been widely used to study cancer progression and responses to drug and treatment. While the low coverage scDNA-seq technologies typically provides a large number of cells, accurate cell clustering is essential for effectively characterizing ITH. Existing cell clustering methods typically are based on either single nucleotide variations (SNV) or copy number alterations (CNA), without leveraging both signals together. Since both SNVs and CNAs are indicative of the cell subclonality, in this paper, we designed a robust cell clustering tool that integrates both signals using a graph autoencoder. Our model co-trains the graph autoencoder and a graph convolutional network (GCN) to guanrantee meaningful clustering results and to prevent all cells from collapsing into a single cluster. Given the low dimensional embedding generated by the autoencoder, we adopted a Gaussian Mixture Model to further cluster cells. We evaluated our method on eight simulated datasets and a real cancer sample. Our results demonstrate that our method consistently achieves higher V-measure scores compared to SBMClone, a SNV-based method, and a K-means method, which relies solely on CNA signals. These findings highlight the advantage of integrating both SNV and CNA signals within a graph autoencoder framework for accurate cell clustering. SCGclust is publicly available at https://github.com/compbio-mallory/cellClustering_GNN.

bioinformatics↗

bioRxiv2025

Structural basis of RECQL5-induced RNA polymerase II transcription braking and subsequent reactivation

During productive transcription elongation, the speed of RNA polymerase II (Pol II) is highly dynamic within individual genes and varies between different genes1,2. Unregulated rapid transcription elongation can lead to detrimental consequences such as transcription-replication collisions, altered alternative splicing patterns, and genome instability1-7. Therefore, elongating Pol II requires mechanisms to slow its progression, yet the molecular basis of transcription braking remains unclear. RECQL5 is a DNA helicase that functions as a general elongation factor by slowing down Pol II8-11. Here we report cryo-electron microscopy (cryo-EM) structures of human RECQL5 bound to multiple transcription elongation complexes. Combined with biochemical analysis, we identify an -helix of RECQL5 responsible for Pol II binding and slowdown of transcription elongation. We further reveal that the transcription-coupled DNA repair (TCR) complex allows Pol II to overcome RECQL5-induced transcription braking through concerted actions of its translocase activity and competition with RECQL5 for engaging Pol II. Additionally, RECQL5 inhibits TCR-mediated Pol II ubiquitination to prevent activation of the DNA repair pathway. Our results suggest a model in which RECQL5 and the TCR complex coordinately regulate the transcription elongation rate to ensure transcription efficiency while maintaining genome stability. This work provides a framework for future studies on the regulatory role of elongation speed in gene expression.

molecular biology↗

bioRxiv2025

An HIV-1 Reference Epitranscriptome

Post-transcriptional modifications to RNA, which comprise the epitranscriptome, play important roles in RNA metabolism, gene regulation, and human disease, including viral pathogenesis. Modifications to the RNA viral genome and transcripts of human immunodeficiency virus 1 (HIV-1) have been reported and investigated in the context of virus and host biology. However, the diversity of experimental approaches used has made clear correlations across studies, as well as the significance of the HIV-1 epitranscriptome in biology and disease, difficult to assess. Therefore, we established a reference HIV-1 epitranscriptome. We sequenced the model NL4-3 HIV-1 genome from infected primary CD4+ T cells and the Jurkat cell line using the latest nanopore chemistry, optimized RNA preparation methods, and the most current and readily available base-calling algorithms. A highly reproducible sense and a preliminary antisense HIV-1 epitranscriptome were created, where N6-methyladenosine (m6A), 5-methylcytosine (m5C), pseudouridine (psi), inosine, and 2-O-methyl (Nm) modifications could be identified by rapid multiplexed base-calling. We observed that sequence and neighboring modification contexts induced modification miscalling, which could be corrected with synthetic HIV-1 RNA fragments. We validated m6A modification sites with STM2457, a small molecule inhibitor of methyltransferase-like 3 (METTL3). We find that modifications are quite stable under combination antiretroviral therapy (cART) treatment, in primary CD4+ T cells, and in HIV-1 virions. Sequencing samples from people living with HIV (PLWH) revealed conservation of m6A modifications. However, analysis of spliced transcript variants suggests transcript-dependent modification levels. Our approach and reference data offer a straightforward benchmark that can be adopted to help advance rigor, reproducibility, and uniformity across HIV-1 epitranscriptomics studies. They also provide a roadmap for the creation of reference epitranscriptomes for many other viruses or pathogens.

genetics↗

bioRxiv2025

Acquisition of ampliconic sequences marks a selfish mouse t-haplotype

Mendelian genetics posits equal transmission of alleles, but selfish alleles can bias the transmission of large genomic regions or entire chromosomes1-4. One long-standing question is how transmission bias evolves to encompass large genomic regions. Mus musculus (house mouse) t-haplotypes exhibit up to 99% transmission bias from heterozygous males5-14 and harbor selfish alleles9-14 genetically linked to large inversions spanning the proximal half of chromosome 1715-20. Here, by generating a high-quality, single-haplotype assembly of a t- haplotype, we reveal the evolution of eight large amplicons with known11,13,21 and candidate selfish alleles as a distinct genetic feature. Three amplicons are conserved in closely related Mus species, and two have known selfish alleles in the oldest inversion, implicating amplicons and an inversion drove the origins of a selfish chromosome 17 [~]3MYA. The remaining t- haplotype amplicons harbor gene families expressed predominantly in haploid spermatids, newly acquired retrogenes, and the most differentially expressed genes in wild-type/t-haplotype spermatids. Targeted deletion of a [~]1.8Mb amplicon with candidate selfish alleles on the t- haplotype reduces selfish transmission in heterozygous males by 3%. Notably, the evolution of selfish allele-containing amplicons and inversions on the t-haplotype parallels mammalian sex chromosome evolution as signatures of selfish transmission. We propose amplicon acquisition and large inversions initiate evolutionary arms races between selfish haplotypes and serve as genome-wide signatures of selfish transmission.

genetics↗

bioRxiv2025

Avoidance of fratricide and improved efficacy of CD33-MSLN CAR-iNK cells in treating acute myeloid leukemia

Acute myeloid leukemia (AML) patients are often older, which brings challenges of endurance and persistent efficacy of autologous CAR-T cell therapies. Allogenic CAR-NK cell therapies may offer reduced toxicities and enhanced anti-leukemic potential against AML. In this study, we designed a novel CD33-mesothelin loop CAR (Loop CAR) and evaluated its anti-tumor efficacy in human umbilical cord blood-derived NK (UCB-NK) cells and human pluripotent stem cell-derived NK (hPSC-iNK) cells. The Loop CAR exhibited superior cytotoxicity against dual-antigen-positive tumor cell lines and primary AML cells. To further avoid fratricide caused by endogenous CD33 expression in NK cells, we established a hPSC-derived cell line via knockout of CD33 gene (CD33KO) and engineered Loop CAR. Rather than enforced expression of exogenous CD16, we generated abundant mature CD33KO-Loop CAR-iNK cells highly expressing endogenous CD16 via an organoid induction approach. This innovative strategy effectively mitigated NK cell fratricide and significantly enhanced CD33 and mesothelin-mediated specific cytotoxicity. Moreover, the CD33KO-Loop CAR-iNK cells demonstrated superior tumor-killing activity in AML xenograft mice and significantly prolonged survival. hPSC-derived CD33KO-Loop CAR-iNK cells possess unique advantages and translational potential for treating AML.

cancer biology↗

bioRxiv2025

Engineered CRO-CD7 CAR-NK cells derived from pluripotent stem cells avoid fratricide and efficiently suppress human T-cell malignancies

BackgroundT cell malignancies are highly aggressive hematological tumors with limited effective treatment options. CAR-NK cell therapy targeting CD7 has emerged as a promising approach for treating T-cell malignancies. However, conventional CAR-NK cell therapy faces the challenges of cell fratricide due to CD7 expression on both malignant cells and normal NK cells. Additionally, engineering CARs into human tissue-derived NK cells demonstrates heterogeneity, low transduction efficiency, and high manufacturing costs. MethodsThe human pluripotent stem cells (hPSCs) were genetically modified by knocking out the CD7 gene and introducing the CD7 CAR expression cassette to generate CD7 KO-CD7 CAR-hPSCs. These modified hPSCs were subsequently differentiated into CD7 KO-CD7 CAR-iNK cells using an efficient organoid induction method. The cytotoxicity of CD7 KO-CD7 CAR-iNK cells against CD7+ tumor cells was evaluated. Furthermore, we overexpressed the CXCR4 gene in CD7 KO-CD7 CAR-hPSCs and derived CXCR4-expressing CD7 KO-CD7 CAR-iNK (CRO-CD7 CAR-iNK) cells. The dynamics of CRO-CD7 CAR-iNK cells in vivo were tracked, and their therapeutic efficacy was assessed using human T-cell acute lymphoblastic leukemia (T-ALL) xenograft models. ResultsThe CD7 KO-CD7 CAR-iNK cells derived from CD7 KO-CD7 CAR-hPSCs effectively avoided fratricide, demonstrated normal expansion, and exhibited potent and specific anti-tumor activity against CD7+ T-cell tumor cell lines and primary T-ALL cells. CXCR4 overexpression in CRO-CD7 CAR-iNK cells improved their homing capacity and extended their persistence in vivo. The CRO-CD7 CAR iNK cells significantly suppressed tumor growth and prolonged the survival of T-ALL tumor-bearing mice. ConclusionsOur study provides a reliable strategy for the large-scale generation of fratricide-resistant CD7 CAR-iNK cells with robust anti-tumor effects from hPSCs, offering a promising cell product to treat T-cell malignancy.

cancer biology↗

bioRxiv2025

Supracellular contractility in Xenopus laevis embryonic epithelia regulated by extracellular nucleotides and the purinergic G-protein coupled receptor P2Y2.

Extracellular signals regulate epithelial homeostasis, cell fate and pattern cell behaviors during embryogenesis, wound healing, regeneration, and disease progression. Previous studies in our group found cell lysate from intentionally wounded embryos triggers a strong but transient contraction in neighboring epithelia, whether contiguous to the wound site or in non-wounded embryos. We previously identified extracellular ATP (eATP) as a possible candidate. Here we test additional candidates and find several nucleotides including ADP, UTP, and UDP also trigger contractility. Through a temporal and spatial screen of lysate activity, an inhibitor screen, and morpholino knock-down of candidate receptors, we find contractility is mediated by a G-protein coupled purinergic receptor P2Y2 (P2RY2). Activated P2RY2 triggers F-actin assembly and myosin II contractility. Knockdown of P2RY2 or overexpression of mutant G-protein effectors abrogate epithelial contractility when epithelia are exposed to eATP or lysate. We demonstrate that the major contributors to epithelial contractility in lysate are extracellular nucleotide triphosphates ATP and UTP, which are sensed by P2RY2 and transduced through G-proteins to contract the epithelium. Summary StatementContractility of the Xenopus embryonic epithelium can be driven by extracellular nucleotides ATP or UTP and actuated by the G-protein coupled purinergic receptor P2Y2 (P2RY2). HighlightsO_LIExtracellular nucleotides ATP and UTP can trigger epithelial contractility. C_LIO_LIEpithelia contract in response to (ATP [~] UTP) > (ADP [~] UDP) > ADO (adenosine). C_LIO_LIThe purinergic G-protein coupled receptor P2Y2 is responsible for this contractile response by indirectly modulating actomyosin contractility. C_LI

cell biology↗

bioRxiv2025

Regulation of fatty acid oxidation involved in high altitude hypoxia induced cardiomyocyte ferroptosis via the SIRT1-PPARα-GPX4 signaling pathway

The heart experiences damage and undergoes changes in energy metabolism under condition of hypoxia. Ferroptosis is a novel form of cell death characterized by the accumulation of reactive oxygen species (ROS) and excessive lipid oxidation. However, the relationship between cardiac energy metabolism and ferroptosis at high altitudes remains unexplored. This study investigates the effects of high-altitude hypoxia on cardiac function and explores underlying mechanisms. The results demonstrate that exposure to high-altitude hypoxia induces structural and functional damage to the heart, leading to myocardial cell injury and oxidative stress, which are accompanied by ferroptosis. Inhibition of ferroptosis with Fer-1 significantly enhances hypoxia-induced expression of GPX4 and SLC7A11, reduces ROS levels, restores the GSH/GSSG ratio, and improves viability of hypoxia-damaged myocardial cells. Further investigation revealed that hypoxia induces mitochondrial damage and disrupts fatty acid {beta}-oxidation (FAO), accompanied by downregulation of PPAR. Activation of PPAR with WY14643 enhances FAO, suppresses ferroptosis, and boosts cell viability and ATP levels under hypoxic conditions. Overexpression of SIRT1 upregulates PPAR, enhances FAO, and mitigates ferroptosis, these effects are reversed by the PPAR inhibitor GW6471. Resveratrol, a natural SIRT1 activator, improves cardiac function and mitochondrial structure, enhances FAO, and reduces ferroptosis in high-altitude hypoxia-induced cardiac injury through the SIRT1-PPAR-GPX4 pathway. These findings identify the SIRT1-PPAR-GPX4 pathway as a potential therapeutic target for high-altitude-induced cardiac injury.

cell biology↗

bioRxiv2025

ca-circSCN8A promotes HPASMCs ferroptosis via LLPS initiated R-Loop

BACKGROUNDFerroptosis has been implicated in pulmonary hypertension. Chromatin-associated RNAs are linked to ferroptosis. However, their role in pulmonary vascular ferroptosis in PH is unexplored. METHODSBioinformatics, Sanger sequencing, RNase R and others were employed to identify differentially higher expression of ca-circSCN8A. Functional gain and loss assays were employed to unveil the role of ca-circSCN8A in hypoxia-induced redox-dependent ferroptosis in HPASMCs and PH mice model. Interaction between ca-circSCN8A and FUS was detected via RNA immunoprecipitation and pull-down assays. FRAP, CHIRP-qPCR, MDA, GSH and GSSG were conducted to explore the potential molecular mechanism. RESULTSca-circSCN8A was firstly identified and confirmed to be upregulated in PH. Upregulation of ca-circSCN8A can promote hypoxia induced ferroptosis in HPASMCs. Under hypoxic conditions, ca-circSCN8A promoted the lactylation of FUS by recruiting EP300, leading to formation of LLPS of ca-circSCN8A/FUS/EP300. LLPS maintained the stability of the R-Loop formed by ca-circSCN8A and ferroptosis related-gene SLC7A11 promoter that inhibit the transcription of the SLC7A11 gene, further result in the disruption of the redox balance and causes ferroptosis in HPASMCs. CONCLUSIONSca-circSCN8A recruits EP300 to promote the lactylation of FUS, thereby promoting LLPS formation of ca-circSCN8A/EP300/FUS. Further, the LLPS motivates ca-circSCN8A to form R-loop with its non-host SLC7A11 and participating in the regulation of hypoxic induced HPASMCs redox-dependent ferroptosis. This is the first confirmation that circRNAs forming R-loops with non-host genes regulated by LLPS. Our findings indicated that ca-circSCN8A plays an important role in ferroptosis of hypoxic induced HPASMCs and may be a potential target for the treatment of PH.

molecular biology↗

bioRxiv2025

Molecular basis of ligand binding and receptor activation at the human A3 adenosine receptor

Adenosine receptors (ARs: A1AR, A2AAR, A2BAR, and A3AR) are crucial therapeutic targets, yet developing selective, efficacious drugs remains challenging. Here, we present high-resolution cryo-electron microscopy (cryo-EM) structures of the human A3AR in three distinct functional states: bound to the endogenous agonist adenosine, the clinically relevant agonist Piclidenoson, and the covalent antagonist LUF7602. These structures, complemented by mutagenesis and pharmacological studies, reveal a unique A3AR activation mechanism involving an extensive hydrogen bond network from the extracellular surface down to the orthosteric binding site. In addition, we identify a cryptic pocket that accommodates the N6-iodobenzyl group of Piclidenoson through a ligand-dependent conformational change of M1745.35. Our comprehensive structural and functional characterization of A3AR advances understanding of adenosine receptor pharmacology and establishes a foundation for developing more selective therapeutics for various disorders including inflammatory diseases, cancer, and glaucoma. TeaserStructures of the A3AR in different conformations reveal a unique activation mechanism and cryptic binding pocket.

pharmacology and toxicology↗

bioRxiv2025

ARGfore: A multivariate framework for forecasting antibiotic resistance gene abundances using time-series metagenomic datasets

BackgroundThe global spread of antibiotic resistance presents a significant threat to human, animal, and plant health. Metagenomic sequencing is increasingly being utilized to profile antibiotic resistance genes (ARGs) in various environments, but presently a mechanism for predicting future trends in ARG occurrence patterns is lacking. Capability of forecasting ARG abundance trends could be extremely valuable towards informing policy and practice aimed at mitigating the evolution and spread of ARGs. ResultsHere we propose ARGfore, a multivariate forecasting model for predicting ARG abundances from time-series metagenomic data. ARGfore extracts features that capture inherent relationships among ARGs and is trained to recognize patterns in ARG trends and seasonality. ConclusionARGfore outperformed standard time-series forecasting methods, such as N-HiTS, LSTM, and ARIMA, exhibiting the lowest mean absolute percentage error when applied to different wastewater datasets. Additionally, ARGfore demonstrated enhanced computational efficiency, making it a promising candidate for a variety of ARG surveillance applications. The rapid prediction of future trends can facilitate early detection and deployment of mitigation efforts if necessary. ARGfore is publicly available at https://github.com/joungmin-choi/ARGfore.

bioinformatics↗

bioRxiv2025

Peripheral alcohol metabolism dictates ethanol consumption and drinking microstructure in mice

BackgroundEthanol metabolism is intimately linked with the physiological and behavioral aspects of ethanol consumption. Ethanol is mainly oxidized by alcohol dehydrogenase (ADH) to acetaldehyde and further to acetate via aldehyde dehydrogenases (ALDHs). Understanding how ethanol and its metabolites work together to initiate and drive continued ethanol consumption is crucial for identifying interventions for alcohol use disorder (AUD). Therefore, the goal of our study was to determine how ADH1, which is mainly peripherally-expressed and metabolizes >90% of ingested ethanol, modulates ethanol metabolite distribution and downstream behaviors. MethodsEthanol consumption in drinking-in-the-dark (DID) and two-bottle choice (2BC) drinking paradigms, ethanol metabolite concentrations, and lickometry were assessed after ADH1 inhibition and/or in Adh1-knockout (Adh1 KO) mice. ResultsWe found that Adh1 KO mice of both sexes exhibited decreased ethanol consumption and preference compared to wild-type (WT) mice in DID and 2BC. ADH1 inhibitor fomepizole (4-MP) also significantly decreased normal and sweetened ethanol consumption in DID studies. Measurement of ethanol and its metabolites revealed that ethanol was increased at 1h but not 15 min, peripheral acetaldehyde was slightly decreased at both time points, and ethanol-induced increases in acetate were abolished after ethanol administration in Adh1 KO mice compared to controls. Similarly, ethanol accumulation as a function of consumption was 2-fold higher in Adh1 KO or 4-MP treated mice compared to controls. We then used lickometry to determine how this perturbation in ethanol metabolism affects drinking microstructure. Adh1 KO mice consume most of their ethanol in the first 30 min like WT mice but display altered temporal shifts in drinking behaviors and do not form normal bout structures, resulting in lower ethanol consumption. ConclusionsOur study demonstrates that ADH1-mediated ethanol metabolism is a key determinant of ethanol consumption, highlighting a fundamental knowledge gap around how ethanol and its metabolites drive ethanol consumption.

neuroscience↗

bioRxiv2025

Minimally Invasive DNA-Mediated Photostabilization for Extended Single-Molecule and Super-resolution Imaging

Photobleaching of fluorescence labels poses a major limitation in single-molecule and super-resolution microscopy. Conventional photostabilization methods, such as oxygen removal and addition of high concentrations of photostabilization additives, often require careful fluorophore selection and can disrupt the biological environment. To address these limitations, we developed a modular and minimally invasive photostabilization approach that utilizes DNA-mediated delivery of a photostabilizer directly to the imaging site. Under lower excitation intensities, the DNA-mediated strategy outperformed solution-based approaches, achieving efficient photostabilization at significantly lower additive concentrations. However, at higher excitation intensities, the stability of a single photostabilizer molecule became the limiting factor. To overcome this and reduce the loss of localizations in DNA-PAINT experiments we have also implemented a recovery scheme where the photostabilizer is continuously replenished at the imaging site. We further extended the approach to cell imaging, demonstrating improved localization rate and precision in 3D-DNA PAINT measurements. DNA-mediated photostabilization offers a promising solution for imaging applications where high additive concentrations are prohibited. Its modularity enables adaptation to various imaging schemes and ultimately expands the repertoire of fluorophores suitable for single-molecule and super-resolution imaging.

biophysics↗

bioRxiv2025

Migratory dermal gamma delta T cells determine the balance between lung immunity and tissue damage during Nippostrongylus brasiliensis infection

Many helminth parasites migrate through multiple host organs during infection but how immune responses are relayed across these tissues is still poorly understood. To investigate the cellular and molecular aspects of inter-tissue communication during infection we established a percutaneous infection model with the tissue-migrating nematode Nippostrongylus brasiliensis. High-dimension profiling of the initial cutaneous immune response revealed that dermal {gamma}{delta} T cells become activated via an IL-1R-dependent mechanism, engage cell motility-associated transcriptional pathways and leave the skin after parasite invasion. Chemical and genetic inhibition of leukocyte migration prevents the accumulation of IL-17-producing {gamma}{delta} T cells in the lungs. Notably, bypassing the skin phase of infection, and therefore preventing dermal {gamma}{delta} T cell migration, dampens the increase in early IL-17 production in the lungs, and, instead, leads to enhanced IFN-{gamma} responses together with increased lung damage. Collectively, our data highlights a critical skin-lung axis regulating host-parasite interactions and safeguarding lung health.

immunology↗

bioRxiv2025

Pluripotent stem cell-derived NK progenitor cell therapy prevents tumour occurrence and eradicates minimal residual disease

The lack of persistence and short-term efficacy presents a major challenge for CAR-NK cell therapy. Here, we addressed this issue by developing pluripotent stem cell-derived NK lineage-committed progenitor (iNKP) cell therapy. For the first time, we generated abundant iNKP cells via an organoid culture system. The iNKP cells, engineered to express CXCR4 and chimeric antigen receptors (CAR), efficiently migrated to the bone marrow and generated CAR-iNK cells persisting in peripheral blood (PB) for over 80 days. Notably, CAR-iNKP cell therapy durably protected animals from tumour occurrence. Furthermore, a single low-dose infusion of CAR-iNKP cells following conventional chemotherapy eradicated minimal residual disease (MRD), leading to long-term complete remission. Our findings present a novel strategy to overcome the limitations of traditional CAR-NK cell therapy and offer dural breakthroughs for the prevention of tumour occurrence and relapse.

cancer biology↗

bioRxiv2025

Discovery of Expression-Governing Residues in Proteins

Understanding how amino acids influence protein expression is crucial for advancements in biotechnology and synthetic biology. In this study, we introduce Venus-TIGER, a deep learning model designed to accurately identify amino acids critical for expression. By constructing a two-dimensional matrix that links model representations to experimental fitness, Venus-TIGER achieves improved predictive accuracy and enhanced extrapolation capability. We validated our approach on both public deep mutational scanning datasets and low-throughput experimental datasets, demonstrating notable performance compared to traditional methods. Venus-TIGER exhibits robust trans-ferability in zero-shot predicting scenarios and enhanced predictive performance in few-shot learning, even with limited experimental data. This capability is particularly valuable for protein design aimed at enhancing expression, where generating large datasets can be costly and time-consuming. Additionally, we conducted a statistical analysis to identify expression-associated features, such as sequence and structural preferences, distinguishing between those linked to high and low expression. Our investigation also revealed a correlation among stability, activity and expression, providing insight into their interconnected roles and underlying mechanisms.

bioengineering↗

bioRxiv2024

Single-cell RNA sequencing analysis reveals new insights for intersex gonad initiation and early sex differentiation of goats

Polled intersex syndrome in goats severely impacts productivity and economic benefits, serving as a potential model for human reproductive defects. However, its specific molecular and cellular regulatory mechanisms remain unclear. This study combined single-cell RNA-sequencing (scRNA-seq) with tissue morphology and immunofluorescence detection to investigate the cellular heterogeneity, pseudo-time differentiation trajectory, differentially expressed genes, and regulatory networks of female, intersex, and male gonads during the 55-65 days embryonic stage of goats. The results indicated significant heterogeneity and cell fate transition in the somatic and germ cells of female, intersex, and male gonads at different developmental stages. Stromal cells may initiate female and intersexual gonad development, and epithelial cells may be the source of gonad cells in male fetuses. The abnormal expression of FOXL2, SOX9, AMH, DMRT1, RSPO1, INSL3, TCF21 and CSF1R may cause female-to-male sex reversal. The new candidate genes like PHLDB2, ZNRF3 and TEAD1 may contribute to the gender differentiation. Additionally, TREM2+ macrophages analogous to those in humans were identified in male gonads, while genes such as CSF1R and TYROBP potentially regulate macrophage immune privilege mechanisms. Early gonadal development in goats may also be regulated by circadian rhythm mechanisms similar to humans, with genes such as NR1D1, LGR4, and ATG5 involved in granulosa cell development, while genes such as ATG5, NRIP1, and FBXW11 may affect intersex trait development. In general, this study provided an important reference for exploring molecular and cellular mechanisms of intersex initiation during early embryonic development in goats and also for modelling human reproductive defects. Author summaryIn this study, we investigated the cell fate trajectory and key gene expression profile of goat fetus gonads using scRNA-seq. The analysis revealed cellular heterogeneity among normal male, normal female, and intersex gonadal somatic and germ cells, alongside their dynamic fate transitions across various developmental states. Pseudo-time trajectory analysis suggested that stromal cells might act as the initiation signal for female and intersexual gonad development, while epithelial cells could serve as the primary source of gonadal cells in male fetal goats. GO functional enrichment and KEGG analyses confirmed that abnormal expression of FOXL2, SOX9, AMH, DMRT1 and RSPO1 was linked to the emergence of intersexual gonads. Newly identified candidate genes including LRP2, PITX2, ARX, LHX9, PHLDB2, ZNRF3 and TEAD1 may contribute to sex-specific differences, while INSL3 and TCF21 could be linked to intersexual gonads. We identified TREM2+ macrophages analogous to those in humans, which could regulate immune privilege mechanisms. Circadian rhythmic changes were observed during early goat gonadal development.

developmental biology↗