Biology subjects

Liang, X.

Publications and source records attributed to Liang, X..

At least 73 records · Page 4Linked to original sources

bioRxiv2025

Obesity Increases Atherosclerosis Susceptibility via Inter-tissue miR-30e-SLC7A11 Axis

BackgroundWith obesity as a risk factor for atherosclerotic disease, recent research suggests that adipose tissue in obese animal models and humans can generate endocrine-like molecules that affect arterial health later on. Previous studies showed that microRNA-30e (miR-30e) level is elevated in atherosclerosis and solute carrier family 7 member 11 (SLC7A11), a cystine/glutamate transporter, is involved in atherogenesis. However, whether an endocrine-like link between the adipose-derived miR-30e-5p and SLC7A11 in the vascular endothelium can lead to obesity-caused atherosclerosis is unknown. MethodsMiRNA data mining and RT-PCR validations were used to demonstrate the positive association among serum level of miR-30e-5p, obesity, and coronary arterial disease in human patients. Transcriptomics (RNA-seq and single-nucleus RNA-seq), metabolomics, and in silico analysis were used to establish a miR-30e-5p-SLC7A11 regulation of central carbon metabolism, mitochondrial and endothelial cell (EC) function. Mouse models with EC-specific Slc7a11 knockout (EC-Slc7a11-/-) and gain or loss of function of miR-30e-5p were used to elucidate the detrimental role of this endocrine-like axis in obesity-related atherosclerosis. ResultsThe level of adipocyte-derived miR-30e-5p was significantly upregulated in obese humans with coronary artery disease and obese and atherosclerotic mice. Via serum exosomes, the adipocyte-generated miR-30e-5p targeted SLC7A11 mRNA in vascular ECs. SLC7A11 deficiency due to miR-30e-5p targeting dysregulated glutamate/cystine metabolism increased glycolysis, reduced oxidative phosphorylation, and impaired mitochondrial function. The EC dysfunction could be rectified by SLC7A11 overexpression or miR-30e-5p antagonism. Exogenously delivered miR-30e-5p phenocopied the increased atherosclerosis in EC-Slc7a11-/- mice. In contrast, miR-30e-5p antagomir treatment reduced atherosclerosis in Apoe-/- and ob/ob mice. ConclusionOur multi-omics approaches demonstrates that the adipose-derived miR-30e-5p downregulated SLC7A11 mRNA in ECs via tissue crosstalk. The resulting EC dysfunction led to obesity-related atherosclerosis in mice. These findings underscore a causality between obesity and atherosclerosis in the context of cardiovascular-kidney-metabolic syndrome.

molecular biology↗

bioRxiv2025

Selective manipulation of excitatory and inhibitory neurons in top-down and bottom-up visual pathways using ultrasound stimulation

IntroductionTechniques for precise manipulation of neurons in specific neural pathways are crucial for excitatory/inhibitory (E/I) balance and investigation of complex brain circuits. Low-intensity focused ultrasound stimulation (LIFUS) has emerged as a promising tool for noninvasive deep-brain targeting at high spatial resolution. However, there is a lack of studies that extensively investigate the modulation of top-down and bottom-up corticothalamic circuits via selective manipulation of excitatory and inhibitory neurons. Here, a comprehensive methodology using electrophysiological recording and c-Fos staining is employed to demonstrate pulse repetition frequency (PRF)-dependent E/I selectivity of ultrasound stimulation in the top-down and bottom-up corticothalamic pathways of the visual circuit in rodents. Materials and methodsUltrasound stimulation at various PRFs is applied to either the lateral posterior nucleus of the thalamus (LP) or the primary visual cortex (V1), and multi-channel single-unit activity is recorded from the V1 using a silicon probe. Results and conclusionOur results demonstrate that high frequency PRFs, particularly at 3 kHz and 1 kHz, are effective at activating the bidirectional corticothalamic visual pathway. In addition, brain region-specific PRFs modulate E/I cortical signals, corticothalamic projections, and synaptic neurotransmission, which is imperative for circuit-specific applications and behavioral studies.

neuroscience↗

bioRxiv2025

A Dapl1+ subpopulation of naive CD8 T cells contains committed precursors of memory lineage.

Memory CD8 T cells play a vital role in providing lasting immune protection, yet their origins remain incompletely understood. Contrary to classical models, emerging evidence suggests that heterogeneity within the naive T cell pool may influence fate decisions prior to antigen encounter. However, the markers of naive T cell heterogeneity have not yet been clearly defined. Here, we describe intraclonal heterogeneity within the naive T cell population marked by the protein Dapl1. Using novel monoclonal antibodies and a reporter-knockout mouse model, we found that Dapl1-positive naive CD8 T cells exhibit distinct phenotypes compared to their Dapl1-negative counterparts. Furthermore, this population includes a subset of pre-programmed precursors biased toward memory lineage fate. The differentiation of these precursors is independent of Dapl1 but relies on the transcription factor Bcl11b, resulting in the generation of Dapl1-positive central memory-like CD8 T cells in response to infection, and stem-like memory cells in response to cancer. Notably, naive Dapl1-positive T cells originate among mature thymocytes and gradually appear in the periphery within several days after birth. Our findings suggest that committed memory precursors in the Dapl1-positive population may represent an alternative pathway for memory CD8 T cell generation, offering new avenues for therapeutic application. ONE-SENTENCE SUMMARYNaive Dapl1 positive CD8 T cells include a pre-programmed subset biased toward differentiation into memory-like T cells.

immunology↗

bioRxiv2025

Systematic Identification of Microtubule Inner Proteins Reveals JPT2 as a Key Regulator of Lumen Microenvironment and Drug Sensitivity

Microtubules are primarily studied for the interactions of proteins that bind to their outer surfaces and ends, while the regulatory mechanisms within the microtubule lumen, particularly in singlet microtubules critical for essential cellular processes, remain largely unexplored. Our study provides the first systematic identification of key regulatory proteins within the single microtubule lumen. Using proximity-dependent biotin identification (Bio-ID) coupled with mass spectrometry, we identified candidate microtubule inner proteins (MIPs), including Jupiter microtubule-associated homolog 2 (JPT2). JPT2 binds directly to microtubules and specifically localizes within the lumen, where it modulates the luminal environment by inhibiting acetylase MEC17 and independently affects the binding and efficacy of Paclitaxel. Furthermore, our screening identified additional MIPs that influence cellular sensitivity to Paclitaxel, indicating a link between luminal regulation and drug responsiveness. These discoveries reveal JPT2s critical role in singlet microtubule regulation and suggest new therapeutic targets for enhancing cancer drug sensitivity.

cell biology↗

bioRxiv2025

Fluorescence-barcoded cell lines stably expressing membrane-anchored influenza neuraminidases

The discovery of broadly protective antibodies to the influenza virus neuraminidase (NA) has raised interest in NA as a vaccine target. However, recombinant, solubilized tetrameric NA ectodomains are often challenging to express and isolate, hindering the study of anti-NA humoral responses. To address this obstacle, we established a panel of 22 non-adherent cell lines stably expressing native, historical N1, N2, N3, N9, and NB NAs anchored on the cell surface. The cell lines are barcoded with fluorescent proteins, enabling high-throughput, 16-plex analyses of antibody binding with commonly available flow cytometers. The cell lines were at least as efficient as a Luminex multiplex binding assay at identifying NA antibodies from a library of unselected clonal IgGs derived from human memory B cells. The cell lines were also useful for measuring the magnitude and breadth of the serum antibody response elicited by experimental infection of rhesus macaques with influenza virus. The membrane-anchored NAs are catalytically active and are compatible with established sialidase activity assays. NA-expressing K530 cell lines therefore represent a useful tool for studying NA immunity and evaluating influenza vaccine efficacy.

immunology↗

bioRxiv2024

Increased versatility and convenience: advances and strategy optimization of ReMOT-mediated genetic modification in insects

Genetic modification via gene editing has become a widely adopted and demonstrably effective method in functional gene research within entomology. However, the optimal efficiency and simplicity of delivering exogenous guide RNA-clustered regularly interspaced short palindromic repeats-associated protein 9 (gRNA-Cas9) complexes into target tissues are crucial for successful gene editing. The Receptor-Mediated Ovary Transduction of Cargo (ReMOT) strategy, which simplifies the delivery process, target site selection, technical requirements, and delivery cost compared with embryonic microinjection, enabling efficient editing at the germline level, is gaining increasing attention. Although the feasibility and advantages of this technique have been demonstrated in various insect species, further optimization of operational details and the overcoming of further bottlenecks are still required. This review focuses on advances in developing ReMOT as a valuable technology, exploring its applicability, rationale for selecting the ovary as a delivery target site, factors influencing its efficiency, and recommendations for improvement. The versatility and effectiveness of ReMOT make it a promising method for researchers looking to make precise genetic modifications with greater ease and efficiency.

genetics↗

bioRxiv2024

Clathrins are involved in the endocytosis of host cytosol in the malaria parasite

In eukaryotic cells, clathrins interact with adaptor protein complexes to regulate key intracellular trafficking events. Specifically, they are associated with the adaptor protein (AP) complex-2 (AP2) to facilitate endocytosis and AP1 to mediate secretion and trafficking between endosome and Golgi. In Plasmodium falciparum, recent studies revealed that the Kelch domain-containing protein 13 and AP2 participate in hemoglobin uptake via cytostomes. However, clathrins appear not to be involved in this process because they primarily associate with AP1. To investigate the roles of clathrins in P. falciparum, we characterized the clathrin heavy chain (PfCHC), the clathrin light chain (PfCLC), and the AP1 {gamma} subunit (PfAP1 {gamma}). Extensive interactome analyses confirmed the major association of clathrins with AP1 components alongside proteins involved in cytostome formation. Live-cell imaging and protein colocalization studies showed that PfCHC, PfCLC, and PfAP1 {gamma} are localized in the parasite cytoplasm, predominantly at the parasite periphery and near the cis-Golgi. Ultrastructural studies using ascorbate peroxidase 2- based electron microscopy confirmed their presence at coated vesicle-like structures at the parasite periphery and, unexpectedly, at the collars of cytostomes. Consistent with these observations, the knockdown of PfCHC led to the formation of abnormally long cytostome tubes and impaired hemoglobin digestion. This study demonstrates that clathrins are essential for proper cytostome formation in P. falciparum, highlighting their critical role in the parasites hemoglobin uptake and digestion processes. IMPORTANCEMalaria is still one of the most severe public health problems worldwide and understanding how malaria parasites obtain hemoglobin from their host cells, red blood cells (RBCs), is critical for identifying targets for antimalarials. In this study, affinity purification revealed that clathrins (PfCHC and PfCLC) were not only mainly associated with AP1 complex but also marginally interacted with proteins that participated in hemoglobin uptake. Localization analysis demonstrated that clathrins and AP1 coated the clusters of vesicles at the parasite periphery and at the neck of the cytostome, an organelle for hemoglobin uptake. Consistently, the knockdown of PfCHC caused the formation of abnormally long cytostome tubes and reduced hemoglobin digestion. Collectively, this study demonstrates that clathrins play a critical role in the parasites hemoglobin uptake.

microbiology↗

bioRxiv2024

Advanced Peptide Nanoparticles Enable Robust and Efficient delivery of gene editors across cell types

Efficient delivery of the CRISPR/Cas9 system and its larger derivatives, base editors, and prime editors remain a significant challenge, particularly in tissue-specific stem cells and induced pluripotent stem cells (iPSCs). This study optimized a novel family of cell-penetrating peptides, hPep, to deliver gene-editing ribonucleoproteins. The hPep-based nanoparticles enable highly efficient and biocompatible delivery of Cre recombinase, Cas9, base-, and prime editors. Using base editors, robust and nearly complete genome editing was achieved in the human cells: HEK293T (96%), iPSCs (74%), and muscle stem cells (80%). This strategy opens promising avenues for ex vivo and, potentially, in vivo applications. Incorporating silica particles enhanced the systems versatility, facilitating cargo-agnostic delivery. Notably, the nanoparticles can be synthesized quickly on a benchtop and stored as lyophilized powder without compromising functionality. This represents a significant advancement in the feasibility and scalability of gene-editing delivery technologies.

bioengineering↗

bioRxiv2024

Performance evaluation of structural variation detection using DNBSEQ whole-genome sequencing

DNBSEQ platforms have been widely used for variation detection, including single-nucleotide variants and short insertions and deletions, comparable to Illumina. However, the performance of structural variations (SVs) detection using DNBSEQ platforms remains unclear. We assessed SV detection using 40 tools on eight DNBSEQ and two Illumina NA12878 whole-genome sequencing datasets. We confirmed that the performance of SV detection on DNBSEQ and Illumina platforms is consistent when using the same tools, with high consistency in metrics of number, size, precision, and sensitivity. Furthermore, we integrated representative SV sets for both DNBSEQ (4,785 SVs) and Illumina (6,797 SVs) platforms. We found high consistency between the DNBSEQ and Illumina SV sets in terms of genomic characteristics, including repetitive regions, GC distribution, difficult-to-sequence regions, and gene features, indicating the value of both platforms in understanding repetitive regions and the genomic context of SVs. Our study provides a benchmark resource for further studies of SVs using DNBSEQ platforms.

genomics↗

bioRxiv2024

Identification and genomic characterization of a novel bisegmented coronavirus in the lesser panda

Coronaviruses (CoVs) are enveloped positive-sense single-stranded RNA viruses and are renowned for their capacity to infect a diverse range of animals, including humans. In this study, we report the identification and characterization of a novel bisegmented coronavirus, designated LpCoV, from a dead lesser panda, which exhibited severe clinical manifestations and lesions in multiple organs. The LpCoV represents the first documented coronavirus with a unique bisegmented genome while maintaining the typical coronavirus morphology. One genomic segment encodes the ORF1ab polyprotein, while the other segment encodes the spike and nucleocapsid proteins, notably lacking the envelope (E) and membrane (M) genes. The pairwise patristic distances of the five concatenated domains in the replicase region (3CLpro, NiRAN, RdRP, ZBD, and HEL1) between LpCoV and -{delta} coronaviruses range from 1.19 to 1.70. Based on the classification criteria established by the International Committee on Taxonomy of Viruses (ICTV), LpCoV is proposed to constitute a new genus within the Coronaviridae family. An epidemiological investigation identified five LpCoV-like viruses in lesser pandas from two different provinces (Sichuan and Jiangsu) indicating the long-term circulation and expansion of bisegmented coronaviruses in wildlife. These findings highlight the imperative for comprehensive viral surveillance in wildlife, which is essential for understanding and mitigating the risk of animal diseases and zoonotic spillover.

microbiology↗

bioRxiv2024

ConvNTC: Convolutional neural tensor completion for predicting the disease-related miRNA pairs and cell-related drug pairs

Systematic investigation of high-order molecular interactions can deepen our understanding of the mechanisms underlying biological systems. However, effectively capturing both multilinear and nonlinear relationships to accurately identify the complex triplet relationships remains a challenge. In this paper, we present a novel Convolutinal Neural Tensor Completion (ConvNTC) to model triplet network connections. ConvNTC consists of a multilinear module and nonlinear module. The former is a tensor decomposition approach that integrates multiple constraints to learn the tensor factor embeddings. The latter contains three components: an embedding generator to produce position-specific index embeddings for each tensor entry in addition to the factor embeddings, a convolutional encoder to perform nonlinear feature mapping while preserving the tensors rank-one property, and a Kolmogorov-Arnold Network (KAN) based predictor to effectively capture high-dimensional relationships aligned with the intrinsic structure of real-world data. We demonstrate ConvNTC on two triplet prediction tasks of the disease-related miRNA pairs and cell-related drug pairs, respectively. Comprehensive experiments against ten state-of-the-art methods demonstrate the superiority of ConvNTC in terms of triplet imputation. ConvNTC reveals promising prognostic values of the miRNA-miRNA interactions on breast cancer and detects synergistic drug combinations in cancer cell lines. The source code is available at https://github.com/Liangyushi/ConvNTC.

bioinformatics↗

bioRxiv2024

Bridging the Gap in Immunotherapy Prediction: The AGAE Score as a Pan Cancer Biomarker for Immune Checkpoint Inhibitor Response

BackgroundImmune checkpoint inhibitor (ICI) therapy efficacy varies among cancer patients, necessitating precise predictive biomarkers for optimized treatment strategies. MethodsWe developed the Adaptive best subset selection algorithm and Genetic algorithm Aided Ensemble learning (AGAE) score through multi-cohort transcriptomic analysis of ICI-treated patients. The AGAE score incorporated gene-pairing, Adaptive Best Subset Selection for feature optimization, and a Genetic Algorithm for optimal basic learner identification. We explored correlations between AGAE score and immune microenvironments using multi-omics data. Potential targets were screened using 17 CRISPR datasets and validated through in vitro and in vivo experiments. ResultsThe AGAE score demonstrated robust predictive power for ICI therapy outcomes, with lower scores correlating with enhanced treatment response. The AGAE score outperformed published signatures and conventional biomarkers. Lower AGAE scores were associated with increased immune cell infiltration, higher immunogenicity, and enhanced antitumor immune activity. The CEP55 was identified as a potential key target driving immune evasion through AGAE scoring and CRISPR screening. Experimental validation showed CEP55 downregulation attenuated tumor cell malignancy and augmented ICI therapy efficacy by modulating T cell responses. ConclusionsThe AGAE score was a potent predictor of ICI therapy efficacy, facilitating refined patient stratification. CEP55s role in the tumor microenvironments immune response highlights its potential as a therapeutic target. Targeted interventions against CEP55 may improve immunotherapy precision.

cancer biology↗

bioRxiv2024

An intracellular calcium sensory complex CPKs/ECA1 controls cytosolic calcium homeostasis for plant osmosensitivity

Intracellular Ca2+ controls various cellular functions and local Ca2+ dynamics is tightly regulated upon environmental cues. Maintaining cellular Ca2+ balance is essential for plant survival. Here we report a calcium-dependent protein kinases (CPKs)-mediated signaling pathway, in conjunction with the ER membrane-resident Ca2+-ATPase ECA1, acts influentially for cytosolic Ca2+ homeostasis and osmotic stress tolerance. We show that targeting cytosolic Ca2+ efflux via specific inhibitors or eca1 mutation results in augmented [Ca2+]cyt spikes, elevated cytoplasmic ABA ([ABA]cyt) level and ultimately hypersensitive to osmotic stress. Screening of Arabidopsis CPKs revealed direct binding of CPK2/6/11 to ECA1. Moreover, CPK2/6/11 phosphorylate the N-terminal of ECA1 at Ser5, thereby enhancing its activity for cytosolic Ca2+ efflux into ER and subsequently lower [ABA]cyt. The cumulative effect of ECA1 and CPKs mutation on Arabidopsis plant sensitivity to osmotic stress further illustrates that CPKs/ECA1 acts an intracellular sensory module for plant stress tolerance via regulating [Ca2+]cyt and [ABA]cyt homeostasis. One-sentence summary: CPKs/ECA1 acts an intracellular sensory module for plant osmotic stress tolerance via regulating cytosolic Ca2+ and ABA homeostasis.

plant biology↗

bioRxiv2024

Large Serine Integrase Off-Target Discovery with Deep Learning for Genome Wide Prediction

Large Serine Integrases (LSIs) hold significant therapeutic promise due to their ability to efficiently incorporate gene-sized DNA into the human genome, offering a method to integrate healthy genes in patients with monogenic disorders or to insert gene circuits for the development of advanced cell therapies. To advance the application of LSIs for human therapeutic applications, new technologies and analytical methods for predicting and characterizing off-target recombination by LSIs are required. It is not experimentally tractable to validate off-target editing at all potential off-target sites in therapeutically relevant cell types because of sample limitations and genetic variation in the human population. To address this gap, we constructed a deep learning model named IntQuery that can predict LSI activity genome-wide. For Bxb1 integrase, IntQuery was trained on quantitative off-target data from 410,776 cryptic attB sequences discovered by Cryptic-seq, an unbiased in vitro discovery technology for LSI off-target recombination. We show that IntQuery can accurately predict in vitro LSI activity, providing a tool for in silico off-target prediction of large serine integrases to advance therapeutic applications.

bioinformatics↗

bioRxiv2024

Maf-family bZIP transcription factor NRL interacts with RNA-binding proteins and R-loops in retinal photoreceptors

RNA-binding proteins (RBPs) perform diverse functions including the regulation of chromatin dynamics and the coupling of transcription with RNA processing. However, our understanding of their actions in mammalian neurons remains limited. Using affinity purification, yeast-two-hybrid and proximity ligation assays, we identified interactions of multiple RBPs with NRL, a Maf-family bZIP transcription factor critical for retinal rod photoreceptor development and function. In addition to splicing, many NRL-interacting RBPs are associated with R-loops, which form during transcription and increase during photoreceptor maturation. Focusing on DHX9 RNA helicase, we demonstrate that its expression is modulated by NRL and that the NRL-DHX9 interaction is positively influenced by R-loops. ssDRIP-Seq analysis reveals both stranded and unstranded R-loops at distinct genomic elements, characterized by active and inactive epigenetic signatures and enriched at neuronal genes. NRL binds to both types of R-loops, suggesting an epigenetically independent function. Our findings suggest additional functions of NRL during transcription and highlight complex interactions among transcription factors, RBPs, and R-loops in regulating photoreceptor gene expression in the mammalian retina.

molecular biology↗

bioRxiv2024

Dynamic cycles between idea generation and evaluation during creative storytelling

Many theories support the notion that creative thinking involves a dynamic transition between idea generation and evaluation, but there is limited evidence of how these two stages interact. The dual process model proposes that spontaneous thinking and deliberate thinking drive these stages and the transitions between them, but there is a debate over whether they operate in parallel or in sequence. To address these gaps, we conducted a functional magnetic resonance imaging (fMRI) study in 41 college students during a creative storytelling task. By analyzing the dynamic brain state, we link the brain states with idea generation and evaluation. The transition patterns between brain states provide evidence for dynamic circulation between idea generation and evaluation during creative storytelling. Using a deep learning approach, we demonstrate an alternating interaction between spontaneous and deliberate thinking, driving the idea generation and evaluation stages and the transitions between them. These findings deepen our understanding of the cognitive and neural mechanisms underlying creative thinking.

neuroscience↗

bioRxiv2024

Limited microglial metabolic improvement with time-restricted feeding in diet-induced obesity

Time-restricted eating has shown promise for improving metabolic health in obese humans via incompletely resolved mechanisms. In this study, we investigated how time-restricted feeding (TRF) at different times of the day affects microglial immunometabolism using Wistar rats. We found that in high-fat diet (HFD)-fed obese rats, TRF during the active phase reduced fat mass, altered rhythmicity of the microglial transcriptome, and prevented an increase in hypothalamic microglia. These effects were dampened or absent with TRF during the resting phase. However, a HFD-induced microglial immunometabolic phenotype, characterized by reduced electron transport chain and increased lipid metabolism gene expression, and metabolic inflexibility, was not reversed by TRF in either the active or resting phase, indicating that reprogrammed microglial metabolism in obesity is a persistent cellular functional change that requires further study.

immunology↗

bioRxiv2024

Discovery of Novel, Potent and Orally Bioavailable SMARCA2 PROTACs with Synergistic Anti-tumor Activity in Combination with KRAS G12C Inhibitors.

Cancer genomic studies have identified frequent mutations in subunits of the SWI/SNF chromatin remodeling complex including SMARCA4 in non-small cell lung cancer with a frequency of up to 33% in advanced stage disease, making it the most frequently mutated complex in lung cancer. We and others have identified SMARCA2 to be synthetic lethal to SMARCA4, indicating SMARCA2 is a high value therapeutic target. Here, we disclose the discovery and characterization of potent, selective and orally bioavailable Cereblon-based SMARCA2 PROTACs. Biochemically, YDR1 and YD54 are potent SMARCA2 degraders with an average DC50 of 7.7nM and 3.5nM respectively in SMARCA4 mutant lung cancer cells. Phenotypically, both YDR1 and YD54 selectively inhibited growth of SMARCA4 mutant cancer cells. Further, we showed anti-tumor growth inhibitory activity of YDR1 and YD54 in SMARCA4 mutant xenograft models of lung cancer. Finally, we show that YDR1 and YD54 synergize with the KRAS G12C inhibitor sotorasib to inhibit growth of SMARCA4 and KRAS G12C co-mutant lung cancer cells. These findings provide additional evidence for the utility of single agent or combination regimens containing SMARCA2 PROTACs as synthetic lethal therapeutics against SMARCA4 mutant cancers.

cancer biology↗