Biology subjects

Liu, D.

Publications and source records attributed to Liu, D..

At least 145 records · Page 8Linked to original sources

bioRxiv2025

Construction and characterization of coronavirus nonstructural protein 3-host protein interaction networks unravel an important role of cleavage and polyadenylation specificity factor 6 in regulation of viral RNA replication

Coronavirus nonstructural protein 3 (nsp3) plays a crucial role in viral replication and immune evasion. However, functional and proteomic characterization of this protein, especially the interaction networks between nsp3 from different coronaviruses and host cell factors, is hindered by its huge size, complex structural feature and the presence of multiple transmembrane domains. In this study, we report the application of a high-performance cytoplasmic expression system to efficiently and accurately express the full-length nsp3 from betacoronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and gammacoronavirus infectious bronchitis virus (IBV), to investigate their interactions with host proteins using proteomics approaches. Our study identified 1,150 host proteins that interact with IBV nsp3 and 920 with SARS-CoV-2 nsp3. Among them, 658 are shared by the two nsp3 proteins. Further validation and preliminary characterization of seven selected candidates, DDX5, DDX39, DHX9, elF4A3, SRRT and CPSF6, demonstrated the reproducibility and reliability of the proteomics data. More interestingly, an important regulatory role of the nsp3-CPSF6 interaction in the replication and transcription of IBV gRNA and sgRNA was unraveled. The construction of nsp3-host protein interaction networks from two distantly related coronaviruses would have provided a foundation for future studies of host cell factors in the regulation of coronavirus replication and pathogenesis.

microbiology↗

bioRxiv2025

Conditional Diffusion with Locality-Aware Modal Alignment for Generating Diverse Protein Conformational Ensembles

Recent advances in AI have enabled the accurate prediction of a single stable protein structure solely based on its amino acid sequence. However, capturing the complete conformational landscape of a protein and its dynamic flexibility remains challenging. In this work, we developed Modal-aligned conditional Diffusion (Mac-Diff), a score based diffusion model for generating the conformational ensembles for unseen proteins. Central to Mac-Diff is an innovative attention module that enforces a delicate, locality-aware alignment between the conditional view (protein sequence) and the target view (residue pair geometry) to compute highly contextualized features for effective structural denoising. Furthermore, Mac-Diff leverages semantically rich sequence embedding from Protein Language Models like ESM-2 in enforcing the protein sequence condition that captures evolutionary, structural and functional information. This compensates for protein structural heterogeneity more effectively than embeddings from structure prediction models that are possibly biased to the dominant conformation. Mac-Diff showed promising results in generating realistic and diverse protein structures. It successfully recovered conformational distributions of fast folding proteins, captured multiple meta-stable conformations that were only observed in long MD simulation trajectories and efficiently predicted alternative conformations for allosteric proteins. We believe that Mac-Diff offers a useful tool to improve understanding of protein dynamics and structural variability, with broad implications for structural biology, drug discovery, and protein engineering.

bioinformatics↗

bioRxiv2025

IRF7 controls spontaneous autoimmune germinal center and plasma cell checkpoints

How IRF7 promotes autoimmune B cell responses and systemic autoimmunity is unclear. Analysis of spontaneous SLE-prone mice deficient in IRF7 uncovered the IRF7 role in regulating autoimmune germinal center (GC), plasma cell (PC) and autoantibody responses and disease. IRF7, however, was dispensable for foreign antigen driven GC, PC and antibody responses. Competitive bone marrow (BM) chimeras highlighted the importance of IRF7 in hematopoietic cells in spontaneous GC and PC differentiation. Single-cell-RNAseq of SLE-prone B cells indicated IRF7 mediated B cell differentiation through GC and PC fates. Mechanistic studies revealed that IRF7 promoted B cell differentiation through GC and PC fates by regulating the transcriptome, translation, and metabolism of SLE-prone B cells. Mixed BM chimeras demonstrated a requirement for B cell-intrinsic IRF7 in IgG autoantibody production but not sufficient for promoting spontaneous GC and PC responses. Altogether, we delineate previously unknown B cell-intrinsic and -extrinsic mechanisms of IRF7-promoted spontaneous GC and PC responses, loss of tolerance, autoantibody production and SLE development. SummaryFike et al. describe previously unknown mechanisms by which IRF7 controls autoimmune B cell and autoantibody responses. Mechanistic studies guided by single-cell-RNAseq and ChIPseq reveal that IRF7 promotes B cell differentiation through germinal center and plasma cell fates by regulating the transcriptome, translation, and metabolism of lupus-prone B cells.

immunology↗

bioRxiv2025

Genomic Insights into the Demographic History and Local Adaptation of Wild Boars Across Eurasia

Wild boars exhibit genetic and phenotypic diversity shaped by migrations and local adaptations. Its expansion across Eurasia, especially in central Asia, remains underexplored. Here, we present newly sequenced whole-genome data of 47 wild boars from Eastern Asia, Central Asia, and Europe, combined with 49 existing genomes, creating a comprehensive dataset of 96 individuals. Our analyses show that Asian wild boars and Southeast Asian Suids split [~]3.6 Mya, with Central Asian and Southern Chinese ancestors diverging [~]1.8 Mya. The split between Central Asian and European-Near East ancestors occurred [~]0.9 Mya, followed by a European-Near East divergence [~]0.6 Mya. We identify signatures of local adaptation in Central Asian populations, including two positively selected variants in LPIN1, associated with cold adaptation, and a missense mutation in ALPK2, linked to meat traits. These findings provide insights into wild boar dispersal and adaptation, and shed light on domestic pigs breeding.

evolutionary biology↗

bioRxiv2025

Clinico-genomic features predict distinct metastatic phenotypes in cutaneous melanoma

Metastasis drives mortality and morbidity in cancer. While some patients develop broad metastatic disease across multiple organs, others exhibit organ-specific spread. To identify mechanisms underlying metastatic organotropism, we analyzed clinico-genomic data from over 7,000 patients with metastatic cutaneous melanoma in three independent cohorts (one primary discovery and two validation cohorts including a nationwide electronic health record-derived deidentified database), leveraging machine learning approaches to clinical data. We found that female sex and increased tumor mutational burden associate with decreased metastatic potential, while older age associates with increased lung and adrenal metastases. Using unsupervised analyses, patients clustered into five metastatic patterns: a "highly metastatic" cluster characterized by involvement of many organs, a "low metastatic" cluster characterized by few metastatic sites (mostly lymph node metastases), and three additional clusters each characterized by metastasis to specific sites (brain, lung, liver). Mutations in B2M and PTEN associated with increased overall metastatic potential. PTEN mutations were also associated with brain metastases but were enriched only in the "highly metastatic" cluster and not the brain-specific cluster. Mutations in GNAQ or GNA11 (GNA) associated with increased liver metastasis. To validate this association, we tested and demonstrated liver tropism in two GNA-mutant genetically engineered cutaneous melanoma mouse models of metastasis. Overall, our study elucidates distinct phenotypes of metastasis in patients with melanoma and identifies novel clinical and genomic associations that illuminate the drivers of clinical metastatic organotropism.

cancer biology↗

bioRxiv2025

Persistent antigen is essential for sustaining Leishmania-specific memory CD4+ T cells and long-term immunity

Memory T cells are critical for secondary immunity against pathogens, yet their persistence in the absence of antigen remains unclear. While memory CD8+ T cells are known to persist independently of their cognate antigen, the durability of memory CD4+ T cells in the absence of antigen remains controversial. Recovery from cutaneous leishmaniasis confers lifelong immunity, largely mediated by CD4+ T cells, but the necessity of persistent parasites for sustaining this immunity has not been empirically confirmed. We investigated immunity in mice infected with a dihydrofolate reductase-thymidylate synthase (dhfr-ts)-deficient Leishmania major, which cannot persist due to their thymidine salvage deficiency. These mice lost protection against wild-type challenge, correlating with a decline in Leishmania (PEPCK)-specific CD4+ T cells. To further dissect this relationship, we generated PEPCK-specific CD4+ TCR transgenic (PEG) mice, enabling precise tracking of Leishmania-specific memory CD4+ T cells. Both in vitro and in vivo-generated memory PEG cells gradually disappeared over time in the absence of antigen, irrespective of the hosts MHC II status, and this loss paralleled the erosion of infection-induced immunity. PEG and endogenous PEPCK-specific memory cells were not maintained in mice infected with dhfr-ts- or PEPCK-deficient L. major, resulting in loss of recall responses and secondary immunity. These findings demonstrate that continuous antigen presence is crucial for maintaining Leishmania-specific memory CD4+ T cells and highlight the role of persistent antigen in sustaining long-term immunity against chronic infections.

immunology↗

bioRxiv2025

Investigation of the Cyanothece nitrogenase cluster in Synechocystis: a blueprint for engineering nitrogen fixing photoautotrophs

The nitrogenase gene cluster of unicellular diazotrophic cyanobacteria such as Cyanothece is frequently selected by nature for nitrogen fixing partnerships with eukaryotic phototrophs. The essential cluster components that confer an advantage in such partnerships remain under explored. To use this cluster for the development of synthetic, phototrophic nitrogen-fixing systems, a thorough and systematic analysis of its constituent genes is necessary. An initial effort to assess the possibility of engineering this cluster into non-diazotrophic phototrophs led to the generation of a Synechocystis 6803 strain with significant nitrogenase activity. In the current study, a refactoring approach was taken to determine the dispensability of the non-structural genes in the cluster and to define a minimal gene set for constructing a functional nitrogenase for phototrophs. Using a bottom-up strategy, the nif genes from Cyanothece 51142 were re-organized to form new operons. The genes were then seamlessly removed to determine their essentiality in the nitrogen fixation process. We demonstrate that besides the structural genes nifHDK, nifBSUENPVZTXW as well as hesAB are important for optimal nitrogenase function in a phototroph. We also show that optimal expression of these genes is crucial for efficient nitrogenase activity. Our findings provide a solid foundation for generating synthetic systems that will facilitate solar powered conversion of atmospheric nitrogen into nitrogen rich compounds, a stride towards a greener world. IMPORTANCEIntegrating nitrogen fixation genes into various photosynthetic organisms is an exciting strategy for converting atmospheric nitrogen into nitrogen rich products in a green and energy efficient way. In order to facilitate this process, it is essential that we understand the fundamentals of the functioning of a prokaryotic nitrogen fixing machinery in a non-diazotrophic, photoautotrophic cell. This study examines a nitrogenase gene cluster that has been naturally selected on multiple occasions for a nitrogen fixing partnership by eukaryotic photoautotrophs and provides a basic blueprint for designing a photosynthetic organism with nitrogen fixing ability.

synthetic biology↗

bioRxiv2025

EPSD 2.0: An Updated Database of Protein Phosphorylation Sites across Eukaryotic Species

As one of the most crucial post-translational modifications (PTMs), protein phosphorylation regulates a broad range of biological processes in eukaryotes. Biocuration, integration and annotation of reported phosphorylation events will deliver a valuable resource for the community. Here, we present an updated database, the eukaryotic phosphorylation site database 2.0 (EPSD 2.0), which includes 2,769,163 experimentally identified phosphorylation sites (p-sites) in 362,707 phosphoproteins from 223 eukaryotes. From the literature, 873,718 new p-sites identified through high-throughput phosphoproteomic research were first collected, and 1,078,888 original phosphopeptides together with primary references were reserved. Then, this dataset was merged into EPSD 1.0, comprising 1,616,804 p-sites within 209,326 proteins across 68 eukaryotic organisms [1]. We also integrated 362,190 additional known p-sites from 10 public databases. After redundancy clearance, we manually re-checked each p-site and annotated 88,074 functional events for 32,762 p-sites, covering 58 types of downstream effects on phosphoproteins, and regulatory impacts on 107 biological processes. In addition, phosphoproteins and p-sites in 8 model organisms were meticulously annotated utilizing information supplied by 100 external platforms encompassing 15 areas. These areas included kinase/phosphatase, transcription regulators, three-dimensional structures, physicochemical characteristics, genomic variations, functional descriptions, protein domains, molecular interactions, drug-target associations, disease-related data, orthologs, transcript expression levels, proteomics, subcellular localization, and regulatory pathways. We expect that EPSD 2.0 will become a useful database supporting comprehensive studies on phosphorylation in eukaryotes. The EPSD 2.0 database is freely accessible online at https://epsd.biocuckoo.cn/.

bioinformatics↗

bioRxiv2025

Reusing wasted bioresources for crop protection: Calcinated oyster shell powder enhances rhizospheric microbial-mediated suppression of root-knot nematodes

The root-knot nematode (RKN) Meloidogyne incognita is one of the most destructive plant-parasitic nematodes (PPNs) affecting crop production worldwide. Our earlier study revealed that calcinated oyster shell powder (OSP) effectively suppressed tobacco RKN disease. However, the suppression mechanism of OSP against RKNs remain unknown. Our study revealed that calcinated OSP reduced the tobacco root-knot index by more than 38% by inhibiting the migration of second-stage juveniles of Meloidogyne incognita (J2) in the soil. Furthermore, OSP reduced the J2 density in the tobacco rhizosphere by 43.69% and significantly increased the soil pH by 0.68; moreover, OSP increased the contents of soil exchangeable calcium (ExchCa) and exchangeable magnesium (ExchMg) by more than 50%. Moreover, soil properties, including ExchMg, ExchCa and pH, enhanced the microbial-mediated suppression of J2. Specifically, Proteobacteria and Gemmatimonadota dominated the microbial community suppressing RKN, and fungal richness contributed to the suppression of RKNs; in addition, Chloroflexi and Acidobacteria dominated the microbial community promoting RKN prosperity. Our study revealed that the reuse of wasted oyster shell powder as an innovative antagonist is a promising avenue for ecofriendly RKN management strategies. IMPORTANCEThere is increased demand for ecofriendly RKN management strategies, and this study is the first to propose that the reuse of wasted oyster shell powder as an innovative antagonist against RKNs is effective, and calcinated oyster shell powder can reduce tobacco root-knot index and Meloidogyne incognita (J2) density by inhibiting the migration of J2s and enhancing the microbially mediated suppression of J2s in the tobacco rhizosphere. Moreover, several soil microbial and physicochemical indicators, including the contents of soil exchangeable calcium, exchangeable magnesium, pH and the relative abundance of Proteobacteria, Gemmatimonadota, Chloroflexi and Acidobacteria in plant rhizosphere were suggested to guide the development of ecofriendly PPN management strategies.

microbiology↗

bioRxiv2025

Recurrent oncogenic ZC3H18 mutations stabilize endogenous retroviral RNA

Endogenous retroviral (ERV) RNA is highly expressed in cancer, although the molecular causes and consequences remain unknown. We found that ZC3H18 (Z18), a component of multiple nuclear RNA surveillance complexes, has recurrent truncating mutations in cancer. We show that Z18trunc mutations are oncogenic and that Z18 plays an evolutionarily conserved role in nuclear RNA surveillance of ERV RNA. In zebrafish, Z18trunc expedited melanoma onset and promoted a specific accumulation of ERV RNA. Z18 mutant human cell lines from the Cancer Cell Line Encyclopedia also expressed higher levels of ERV RNA. In engineered human melanoma cells, Z18trunc enhanced ERV RNA accumulation more than loss of one Z18 copy, indicating dominant negative activity. Z18trunc directly bound and stabilized ERV RNA. Notably, expression of ERV RNA was sufficient to expedite oncogenesis in a zebrafish model, which is the first evidence of which we are aware that ERV transcripts can play a functional role in cancer. Our work illuminates a mechanism for elevated ERV transcripts in cancer and supports that aberrant RNA accumulation is broadly oncogenic.

cancer biology↗

bioRxiv2024

AtKC1 inhibits AtAKT1 activation via its amino-terminal inhibitory domain

AKT1 is a plant Shaker-like, hyperpolarization-activated K+ channel which plays a crucial role in K+ absorption. Besides phosphorylation, AKT1 is subject to negative regulation by AtKC1, a silent channel of the same family. Previous structural studies unveiled that AKT1 and AtKC1 form 2:2 heterotetramer in purified samples. However, the structural analysis failed to offer more insight into the inhibition mechanism of AKT1 activation by AtKC1. Here, inspecting the complex structure of AKT1-AtKC1 reveals that a stable domain of AtKC1 (residues 53 to 80), named inhibitory domain or I-domain, may inhibit AKT1 activation by stabilizing its depolarized, closed conformation. We confirmed this hypothesis with electrophysiological experiments. Interestingly, a single-point mutation (G315D) in AtKC1 has been reported to abolish its ability to inhibit AKT1. We solved the structure of AKT1-AtKC1(G315D) at a resolution of 2.8 [A] which revealed an unexpected stoichiometry alteration between AKT1 and AtKC1 from 2:2 to 3:1. This stoichiometry change further supports the hypothesis as we reason that single I-domain of AtKC1 in the channel complex is insufficient to effectively inhibit channel activation. Our findings reveal the inhibition mechanism of AtKC1 on AKT1 and offer insight into the regulatory mechanisms of hyperpolarization-activated channels.

biochemistry↗

bioRxiv2024

A practical DNA data storage using expanded alphabet introducing 5-methylcytosine

DNA molecular is a promising next-generation data storage medium. Recently, it has been theoretically proposed that non-natural or modified bases can serve as extra molecular letters to increase the information density. However, the feasibility of the strategy is challenging due to the difficulty in synthesizing and the complex structure of non-natural DNA sequences. Here, we described a practical DNA data storage transcoding scheme named R+ based on expanded molecular alphabet by introducing 5-methlcytosine(5mC). We also demonstrated the experimental validation by encoding one representative file into several 1.3~1.6 kbps in vitro DNA fragments for nanopore sequencing. The results show an average data recovery rate of 98.97% and 86.91% with and without reference respectively. This work validates the practicability of 5mC in DNA storage systems, with a potentially wide range of applications. Availability & ImplementationR+ is implemented in Python and the code is available under the MIT license at https://github.com/Incpink-Liu/DNA-storage-R_plus

synthetic biology↗

bioRxiv2024

Cerebral perfusion and metabolic response of astrocytes and neurons during locomotion

The hemodynamic response links neural oxidative metabolism changes to increased cerebral blood flow during brain activity1. Although Roy and Sherrington introduced this concept over a century ago (1890), the exact cellular mechanisms remain unclear. This study demonstrates how local blood supply increases correlate with the metabolic response of individual brain cells during locomotion. Using Raman microspectroscopy, we observed an elevation in oxygen saturation levels (sO2) in cortical venules but not in arterioles, which were already near saturation. The increased sO2 in the venules was accompanied by vasodilation, indicating blood oversupply in the local brain area, a phenomenon known as functional hyperemia. We then analyzed the metabolic response of individual neurons and astrocytes to locomotion. In neurons, the levels of reduced cytochromes of c and b types [cyt c,b (Fe2+)] rapidly decreased at the onset of locomotion. This suggests an increase in the activity of the mitochondrial respiratory chain (electron transport chain, ETC) in response to heightened energy demands in these cells2. In contrast, because astrocytes rely less on oxidative phosphorylation for their energy metabolism than neurons3, we did not observe an initial decrease in reduced cytochromes in these cells. However, as locomotion continued, the cyt c,b (Fe2+) levels steadily increased in both cell types. In neurons, this led to a slow recovery from the initial drop, while in astrocytes, the increase exceeded baseline levels. Consequently, we observed an overload of electrons in the astrocytic ETC. The distinct responses of astrocytic and neuronal mitochondria to locomotion may reflect differences in the organization of the ETC in the two cell types4. Furthermore, astrocytes may shift to glycolysis under increased neuronal activity5,6. This difference also resulted in hydrogen peroxide (H202) production in astrocytic mitochondria but not neuronal mitochondria. Since H202 is a signaling molecule critical for cognitive function in the brain7, we speculate that astrocytic mitochondria act as signaling hubs during exercise.

neuroscience↗

bioRxiv2024

Discovery of NANOG enhancers and their essential roles in self-renewal and differentiation in human embryonic stem cells

Human embryonic stem cells (hESCs) are notable for their ability to self-renew and to differentiate into all tissue types in the body. NANOG is a core regulator of hESC identity, and dynamic control of its expression is crucial to maintain the balance between self-renewal and differentiation. Transcriptional regulation depends on enhancers, but NANOG enhancers in hESCs are not well characterized. Here we report two NANOG enhancers discovered from a CRISPR interference screen in hESCs. Deletion of a single copy of either enhancer significantly reduced NANOG expression, compromising self-renewal and increasing differentiation propensity. Interestingly, these two NANOG enhancers are involved in a tandem duplication event found in certain primates including humans but not in mice. However, the duplicated counterparts do not regulate NANOG expression. This work expands our knowledge of functional enhancers in hESCs, and highlights the sensitivity of the hESC state to the dosage of core regulators and their enhancers.

developmental biology↗

bioRxiv2024

CellMemory: Hierarchical Interpretation of Out-of-Distribution Cells Using Bottlenecked Transformer

Identifying the genetic and molecular drivers of phenotypic heterogeneity among individuals is vital for understanding human health and for diagnosing, monitoring, and treating diseases. To this end, international consortia such as the Human Cell Atlas and the Tabula Sapiens are creating comprehensive cellular references. Due to the massive volume of data generated, machine learning methods, especially transformer architectures, have been widely employed in related studies. However, applying machine learning to cellular data presents several challenges. One such challenge is making the methods interpretable with respect to both the input cellular information and its context. Another less explored challenge is the accurate representation of cells outside existing references, referred to as out-of-distribution (OOD) cells. The out-of-distribution could be attributed to various physiological conditions, such as comparing diseased cells, particularly tumor cells, with healthy reference data, or significant technical variations, such as using transfer learning from single-cell reference to spatial query data. Inspired by the global workspace theory in cognitive neuroscience, we introduce CellMemory, a bottlenecked Transformer with improved generalization capabilities designed for the hierarchical interpretation of OOD cells unseen during reference building. Even without pre-training, it exceeds the performance of large language models pre-trained with tens of millions of cells. In particular, when deciphering spatially resolved single-cell transcriptomics data, CellMemory demonstrates the ability to interpret data at the granule level accurately. Finally, we harness CellMemorys robust representational capabilities to elucidate malignant cells and their founder cells in different patients, providing reliable characterizations of the cellular changes caused by the disease.

bioinformatics↗

bioRxiv2024

The Arabidopsis 14-3-3 proteins positively regulate brassinosteroid signaling by stabilizing BRASSINOSTEROID INSENSITIVE1 at the plasma membrane

Brassinosteroid (BR) hormones regulate various physiological and developmental processes in plants. BR signaling is primarily influenced by the plasma membrane abundance of the BR receptor BR INSENSITIVE1 (BRI1), a process regulated by ubiquitination, endocytosis, and protein degradation. Despite extensive research, only a few negative regulators of BRI1 internalization and ubiquitination have been identified. In this study, we show that the conserved eukaryotic regulatory proteins 14-3-3 directly interact with BRI1 at Threonine 872 (T872) within its juxtamembrane domain. Furthermore, phosphorylation at Serine 858 (S858) in BRI1s juxtamembrane domain enhances T872 phosphorylation, facilitating 14-3-3 protein binding. Consequently, by inhibiting BRI1 ubiquitination without affecting its kinase activity or BAK1 interaction, 14-3-3 binding increased BRI1 plasma membrane abundance and enhanced BR signaling. Both non-epsilon and epsilon isoforms of 14-3-3 proteins contribute to the regulation of BRI1 and, consequently, to plant responsiveness to BRs. Our results revealed a previously undescribed function of 14-3-3 proteins in regulating BRI1 stability. One Sentence Summary14-3-3s stabilize BRI1 by antagonizing its ubiquitination

cell biology↗

bioRxiv2024

Single-cell analysis reveals multi-faceted features of B cell development together with age-associated B cell subpopulations

The development and maturation of B lymphocytes involve intricate orchestrated processes, where dedicated gene regulations (GR) take place within specific microenvironments shaped by both extracellular matrix and neighboring cells. Despite extensive investigations aimed at deepening our comprehension of these mechanisms, there remains a dearth of high-dimensional and integrated analysis concerning B cell heterogeneity, gene regulation, and external factors implicated in B cell development. In this study, we scrutinized single-cell transcriptomic data and B cell receptor (BCR) sequencing data obtained from B cells and their surrounding counterparts in the bone marrow, tonsil, and peripheral blood. A full picture of the GR dynamics, the heterogeneity of conventional B cells and cell-cell interactions (CCIs) along B cell development axis was depicted. We found immature B cells represent the most quiescent stage characterized by the least number of expressed genes and low RNA velocity. The homeostatic proliferation and activation of naive B cells is niche-confined and individualized, respectively. Two development models for memory B cell subpopulations seem not mutually exclusive and warrant in-depth investigation. Moreover, CCI analysis reveals a pivotal role of myeloid cells and two dominant and stage-dependent CCI categories, TNF and adhesion signaling, in B cell development. Besides, we unexpectedly identified two age-associated B cell subpopulations that respectively express S100A8/S100A9 and C1q and experimentally confirmed the secretion of S100A8/A9 from human B cells in vitro, suggesting a senescence-associated secretion phenotype. Our integrated analysis provides valuable insights into GR dynamics, the evolution of B cells, and potential intercellular communication networks involved in B cell development and revealed novel phenotypes of age-associated B cell aberrance. This study serves as a valuable resource for in-depth exploration of the intricacies of B cell biology.

cell biology↗

bioRxiv2024

Abnormal eNK cells contribute to endometrial fibrosis in intrauterine adhesions patients

Endometrial natural killer cells (eNK) at the proliferative phase are one of the major lymphocytes in the endometrium, but their phenotype and function remain elucidated. Here, we demonstrated that eNK cells had three subtypes and were different from peripheral blood NK (pbNK) and decidual NK (dNK) cells. They played an important role in maintaining the homeostasis of the endometrium through preventing endometrial stromal cells (ESCs) from the differentiation into myofibroblasts physiologically. However, in the fibrotic endometria of patients with intrauterine adhesions (IUA), eNK cells were significantly decreased and highly negatively correlated with an increase in myofibroblasts. In vitro experiments showed that eNK cells could inhibit the differentiation of ESCs into myofibroblasts and promote the dedifferentiation of myofibroblasts, in which the main effector molecules from eNK cells was Prostaglandin D2 (PGD2). PGD2 downregulated the expression of ZNF521 to decrease profibrotic protein synthesis. Furthermore, we confirmed the anti-endometrial fibrosis effect of eNK cells and its mechanism in an IUA-like murine model. These findings reveal an important role of eNK cells in endometrial homeostasis and provide potential therapeutic approaches for IUA patients.

immunology↗