Biology subjects

Zhang, Q.

Publications and source records attributed to Zhang, Q..

At least 325 records · Page 18Linked to original sources

bioRxiv2024

Ferroptosis mediates the progression of hyperuricemic nephropathy by activating RAGE signaling

Hyperuricemic nephropathy (HN) represents a prevalent complication arising from hyperuricemia, typified by tubular dysfunction, inflammation, and progressive renal fibrosis, whose pathogenic mechanisms remain enigmatic. Ferroptosis, a newly elucidated iron-dependent form of regulated cell death, plays a role in various disease states. However, its involvement in HN has seldom been explored. In this study, we observed indications of ferroptosis in the renal tissues of urate oxidase knockout (UOX-/-) mice, a model of hyperuricemia, as evidenced by increased iron deposition and reduced expression of glutathione peroxidase 4 (GPX4). These findings suggest a substantial role of ferroptosis in the pathogenesis of HN. To further explore this hypothesis, UOX-/- mice were administered Ferrostatin-1, a known inhibitor ferroptosis. This treatment markedly ameliorated tubular injury, necrosis, and inflammatory cell infiltration, mitigated renal fibrosis, reinstated the expression of proteins associated with ferroptosis in renal tissues, and reduced iron overload, lipid peroxidation, and mitochondrial damage in UOX-/- mice. Additionally, we found that receptor for advanced glycation end products (RAGE) propagates ferroptosis-induced renal injury, inflammation and fibrosis, albeit without directly facilitating ferroptosis. Finally, ferroptosis and RAGE upregulation were validated in renal tissues of patients with hyperuricemia-related kidney disease. Collectively, our research elucidates the critical contribution of ferroptosis to HN pathogenesis, indicating that therapeutic strategies targeting ferroptosis and the related RAGE signaling may offer novel therapeutic approaches for managing this condition.

ecology↗

bioRxiv2024

Insulin regulates lymphatic endothelial function via palmitoylation

Lipid metabolism plays a critical role in lymphatic endothelial cell (LEC) development and maintenance. Altered lipid metabolism is associated with loss of lymphatic vessel integrity, which compromises organ function, protective immunity, and metabolic health. However, the role of lipid metabolism in LEC function is not well understood. Insulin is a key regulator of lipid metabolism and protein palmitoylation, the reversible post-translational protein modification by palmitate that affects protein stability, trafficking, protein-protein, and protein-membrane interactions. Human LECs are highly sensitive to insulin and can develop insulin resistance in vitro, but whether insulin regulates LEC protein palmitoylation and function is unknown. To examine the role of palmitoylation in LEC function, we generated the first palmitoylation proteomics profile in human LECs, validated insulin regulated targets and profiled differences in palmitoylation between lymphatic and blood endothelial cells. Palmitoylation occurred primarily in proteins involved in LEC vesicular or membrane trafficking, translation initiation, and in those found in membrane rafts. Insulin enriched palmitoylation of LEC proteins involved in GTPase signaling, ubiquitination, and junctional anchoring. We also determined that the long-chain fatty acid receptor CD36 mediates optimal lymphatic palmitoylation. CD36 silencing in LECs doubled palmitoylation targets involving proteins related to inflammation and neutrophil degranulation contributing to an activated inflamed endothelium. These results suggest that the coordination of the process of palmitoylation is critical for normal lymphatic endothelial function.

physiology↗

bioRxiv2024

Topoisomerase I is an Evolutionarily Conserved Key Regulator for Satellite DNA Transcription

Repetitive satellite DNAs, divergent in nucleic-acid sequence and size across eukaryotes, provide a physical site for centromere assembly to orchestrate chromosome segregation during the cell cycle. These non-coding DNAs are transcribed by RNA polymerase (RNAP) II and the transcription has been shown to play a role in chromosome segregation, but a little is known about the regulation of centromeric transcription, especially in higher organisms with tandemly-repeated-DNA-sequence centromeres. Using RNA interference knockdown, chemical inhibition and AID/IAA degradation, we show that Topoisomerase I (TopI), not TopII, promotes the transcription of -satellite DNAs, the main type of satellite on centromeres in human cells. Mechanistically, TopI localizes to centromeres, binds RNAP II and facilitates RNAP II elongation on centromeres. Interestingly, in response to DNA double-stranded breaks (DSBs) induced by chemotherapy drugs or CRSPR/Cas9, -satellite transcription is dramatically stimulated in a DNA damage checkpoint-independent but TopI-dependent manner. These DSB-induced -satellite RNAs were predominantly derived from the -satellite high-order repeats of human centromeres and forms into strong speckles in the nucleus. Remarkably, TopI-dependent satellite transcription also exists in mouse 3T3 and Drosophila S2 cells and in Drosophila larval imaginal wing discs and tumor tissues. Altogether, our findings herein reveal an evolutionally conserved mechanism with TopI as a key player for the regulation of satellite transcription at both cellular and animal levels.

cell biology↗

bioRxiv2024

Ancient cyanobacterial proto-circadian clock adapted to short day-night cycles ~ 0.95 billion years ago

In the early history, the Earth rotation was much faster; however, how ancient organisms adapted to the day-night cycles of that time remains unclear. We resurrected the ancestor KaiABC (anKaiABC) genes circa 0.95 billion years (Ga) ago when the daily-night cycling period was [~] 18 h. Compared with its contemporary counterpart KaiC, the anKaiC protein shows subtle structural differences, and the activities of kinase, phosphatase activities, and adenosine triphosphatase (ATPase) of anKaiC are lower. The anKaiAB proteins are less effective in regulating KaiC/anKaiC phosphorylation status. The anKaiABC system does not sustain an endogenous oscillation but it can be entrained by an 18-h light/dark cycle. The strain expressing anKaiABC shows better adaptation under 9-h light/9-h dark cycles (LD9:9) which mimic the 18-h day-night cycles. These findings suggest that the ancient cyanobacterial proto-circadian system may not be endogenous, but it conferred the capability to adapt to daily cycles [~] 0.95 Ga ago.

evolutionary biology↗

bioRxiv2024

Interferon-Inducible Guanylate-Binding Protein 5 Inhibits Replication of Multiple Viruses by Binding to the Oligosaccharyltransferase Complex and Inhibiting Glycoprotein Maturation

Viral infection induces production of type I interferons and expression of interferon-stimulated genes (ISGs) that play key roles in inhibiting viral infection. Here, we show that the ISG guanylate-binding protein 5 (GBP5) inhibits N-linked glycosylation of key proteins in multiple viruses, including SARS-CoV-2 spike protein. GBP5 binds to accessory subunits of the host oligosaccharyltransferase (OST) complex and blocks its interaction with the spike protein, which results in misfolding and retention of spike protein in the endoplasmic reticulum likely due to decreased N-glycan transfer, and reduces the assembly and release of infectious virions. Consistent with these observations, pharmacological inhibition of the OST complex with NGI-1 potently inhibits glycosylation of other viral proteins, including MERS-CoV spike protein, HIV-1 gp160, and IAV hemagglutinin, and prevents the production of infectious virions. Our results identify a novel strategy by which ISGs restrict virus infection and provide a rationale for targeting glycosylation as a broad antiviral therapeutic strategy. HighlightsO_LIThe interferon-stimulated gene GBP5 is induced by SARS-CoV-2 infection in vitro and in vivo. C_LIO_LIER-localized GBP5 restricts N-linked glycosylation of SARS-CoV-2 spike protein, leading to protein misfolding and preventing transport to the Golgi apparatus. C_LIO_LIGBP5 binds to OST complex accessory proteins and potentially blocks access of the catalytic subunit to the spike protein. C_LIO_LIGBP5 inhibits N-glycosylation of key proteins in multiple viruses, including SARS-CoV-2 C_LIO_LIPharmacological inhibition of OST blocks host cell infection by SARS-CoV-2, variants of concern, HIV-1, and IAV. C_LI SignificanceViral infection induces production of type I interferons and expression of interferon-stimulated genes (ISGs) that play key roles in inhibiting viral infection. We found that the interferon-stimulated gene GBP5 is induced by SARS-CoV-2 infection in vitro and in vivo. GBP5 inhibits N-glycosylation of key proteins in multiple viruses, including SARS-CoV-2. Importantly, pharmacological inhibition of Oligosaccharyltransferase (OST) Complex blocks host cell infection by SARS-CoV-2, variants of concern, HIV-1, and IAV, indicating future translational application of our findings.

microbiology↗

bioRxiv2024

NovoBoard: a comprehensive framework for evaluating the false discovery rate and accuracy of de novo peptide sequencing

De novo peptide sequencing is a fundamental research area in mass spectrometry (MS) based proteomics. However, those methods have often been evaluated using a couple of simple metrics that do not fully reflect their overall performance. Moreover, there has not been an established method to estimate the false discovery rate (FDR) and the significance of de novo peptide-spectrum matches (PSMs). Here we propose NovoBoard, a comprehensive framework to evaluate the performance of de novo peptide sequencing methods. The framework consists of diverse benchmark datasets (including tryptic, nontryptic, immunopeptidomics, and different species), and a standard set of accuracy metrics to evaluate the fragment ions, amino acids, and peptides of the de novo results. More importantly, a new approach is designed to evaluate de novo peptide sequencing methods on target-decoy spectra and to estimate their FDRs. Our results thoroughly reveal the strengths and weaknesses of different de novo peptide sequencing methods, and how their performances depend on specific applications and the types of data. Our FDR estimation also shows that some tools may perform better than the others in distinguishing between de novo PSMs and random matches, and can be used to assess the significance of de novo PSMs.

bioinformatics↗

bioRxiv2024

Spatiotemporal transcriptomic profiling reveals the dynamic immunological landscape of alveolar echinococcosis

Alveolar echinococcosis (AE) is caused by the invasive growth of the metacestodes of Echinococcus multilocularis (E. multilocularis). The early diagnosis, management, and treatment of AE remains challenging. Herein, we integrated bulk RNA-seq, scRNA-seq, and ST technologies to reveal the immune characteristics both spatially and chronologically in E. multilocularis infected mouse liver. An unprecedented high-resolution spatial atlas of the E. multilocularis infection foci was obtained, revealing the pivotal role of neutrophils, Spp1+ monocyte-derived macrophages (MoMFs), and fibroblasts in AE progression. We observed continuous recruitment of neutrophils and macrophages into the infected tissues, indicating prolonged immune stimulation by the growing metacestodes. However, their spatial distribution patterns and functions changed during the infection cause. At the early infection stage, Il1bhi neutrophils aggregated in the lesion displayed the highest pattern-recognition receptor activity and may kill the metacestodes through NETosis, but their death in the infection foci might also trigger immune suppression. Meanwhile, Spp1+ MoMFs attached to the protoscoleces to clear the infection. At the late infection stage, the neutrophils failed to infiltrate into the lesion although their continuous recruitment into the infected liver. Even though the Spp1+ MoMFs enclosing the microcysts of E. multilocularis may retain their pathogen-killing ability, they may also promote fibrosis and angiogenesis through interaction with fibroblasts. The pro- and anti-inflammatory phenotype balance of these immune cells may be associated with the transition of parasite control strategy from "active killing" to "negative segregation" by the host. Our findings identify key molecular traits involved in AE development, which may benefit the treatment of echinococcosis.

immunology↗

bioRxiv2024

Regulatory Functional Landscape of the HMX1 Gene for Normal Ear Development

Enhancers, through the combinatorial action of transcription factors (TFs), dictate both the spatial specificity and the levels of gene expression, and their aberrations can result in diseases. The association between HMX1 and its downstream enhancer with ear deformities has been previously documented. However, the pathogenic variations and molecular mechanisms underlying the bilateral constricted ear (BCE) malformations remain unclear. This study identifies a copy number variation (CNV) encompassing three enhancers that induces BCE. These enhancers, collectively termed the positional identity hierarchical enhancer cluster (PI-HEC), co-regulate spatiotemporal expression of the HMX1 gene in a coordinated and synergistic mode, each displaying unique activity-location-structure characteristics. A thorough exploration of this regulatory locus reveals that specific motif clusters within the PI-HEC variably modulate its activity and specificity, with the high mobility group (HMG) box combined with Coordinator and homeodomain (HD)-TFs notably influencing them respectively. Our findings based on various types of mouse models, reveal that both aberrant Hmx1 expression in the fibroblasts of the basal pinna, originating from neural crest cells, and ectopic expression in the distal pinna structures contribute to the abnormal development of the outer ear, including the cartilage, muscle, and epidermis tissues. This study deepens our understanding of mammalian ear morphogenesis and sheds light on the complexity of gene expression regulation by enhancers and specific sequence motifs.

developmental biology↗

bioRxiv2024

Insulation of ribosomal promoter activity by Fis, H-NS or a divergent promoter within the packed E. coli genome.

Gene expression in bacterial cells is dependent on a genes position along the genome, mainly because of the effects of neighbouring genes expression, but also because of the local activity of nucleoid proteins, differing levels of DNA supercoiling and changes in gene copy number with growth rate and growth phase. This genome position dependence can be a source of specific regulation, however, in some cases it is necessary to have gene expression insulated from these local effects. Escherichia coli cells express ribosomal RNA from multiple operons found at different sites along the genome. The number of ribosomal operons varies in different strains and correlates with the maximal growth rate. rRNA promoters are under the regulation of Fis, H-NS, DNA supercoiling and ppGpp. These factors are known to result in growth phase and growth rate dependent regulation of gene expression. Here we show that the combined action of Fis and H-NS also provides insulation from the activity of both local and global regulatory factors. Furthermore, our results indicate that the presence of a divergently expressed gene can also act as an insulator revealing a DNA supercoiling gradient from the origin to the terminus. The organisation of ribosomal promoters therefore has been selected to allow for gene duplication independently of the influence of local genome organisation and neighbouring genes activity.

cell biology↗

bioRxiv2024

Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features

Artificial intelligence models have been increasingly used in the analysis of tumor histology to perform tasks ranging from routine classification to identification of novel molecular features. These approaches distill cancer histologic images into high-level features which are used in predictions, but understanding the biologic meaning of such features remains challenging. We present and validate a custom generative adversarial network - HistoXGAN - capable of reconstructing representative histology using feature vectors produced by common feature extractors. We evaluate HistoXGAN across 29 cancer subtypes and demonstrate that reconstructed images retain information regarding tumor grade, histologic subtype, and gene expression patterns. We leverage HistoXGAN to illustrate the underlying histologic features for deep learning models for actionable mutations, identify model reliance on histologic batch effect in predictions, and demonstrate accurate reconstruction of tumor histology from radiographic imaging for a virtual biopsy.

cancer biology↗

bioRxiv2024

Heterogeneous and Novel Transcript Expression in Single Cells of Patient-Derived ccRCC Organoids

Splicing is often dysregulated in cancer, leading to alterations in the expression of canonical and alternative splice isoforms. This complex phenomenon can be revealed by an in-depth understanding of cellular heterogeneity at the single-cell level. Recent advances in single-cell long- read sequencing technologies enable comprehensive transcriptome sequencing at the single-cell level. In this study, we have generated single-cell long-read sequencing of Patient-Derived Organoid (PDO) cells of clear-cell Renal Cell Carcinoma (ccRCC), an aggressive and lethal form of cancer that arises in kidney tubules. We have used the Multiplexed Arrays Sequencing (MAS-ISO-Seq) protocol of PacBio to sequence full-length transcripts exceptionally deep across 2,599 single cells to obtain the most comprehensive view of the alternative landscape of ccRCC to date. On average, we uncovered 86,182 transcripts across PDOs, of which 31,531 (36.6%) were previously uncharacterized. In contrast to known transcripts, many of these novel isoforms appear to exhibit cell-specific expression. Nonetheless, >50% of these novel transcripts were predicted to possess a complete protein-coding open reading frame. This finding suggests a biological role for these transcripts within kidney cells. Moreover, an analysis of the most dominant transcript switching events between ccRCC and non-ccRCC cells revealed that many switching events were cell and sample-specific, underscoring the heterogeneity of alternative splicing events in ccRCC. Overall, our research elucidates the intricate transcriptomic architecture of ccRCC, potentially exposing the mechanisms underlying its aggressive phenotype and resistance to conventional cancer therapies.

cancer biology↗

bioRxiv2024

The Diversified Astrocyte Developmental Programs are Modulated by Primary Ciliary Signaling

Astrocyte diversity is greatly influenced by local environmental modulation. Here, we report that the vast majority of brain astrocytes across the entire brain possess a singular primary cilium, a specialized signaling antenna localized to cell soma. Comparative single-cell transcriptomics reveals that primary cilia mediate canonical Shh signaling to modulate astrocyte subtype-specific core features in synaptic regulation, intracellular transport, energy and metabolism. Independent of canonical Shh signaling, primary cilia are important regulators for astrocyte morphology and intracellular signaling balance. Dendritic spine analysis and transcriptomics reveal that perturbation of astrocytic cilia leads to disruption of neuronal development and global intercellular connectomes in the brain. Ultimately, mice with primary ciliary deficient astrocytes show behavioral deficits in sensorimotor function, sociability, learning and memory. Our results uncover a critical role for primary cilia in transmitting local cues that drive the region-specific diversification of astrocytes within the developing brain.

neuroscience↗

bioRxiv2024

Comparison of Single-cell Long-read and Short-read Transcriptome Sequencing of Patient-derived Organoid Cells of ccRCC: Quality Evaluation of the MAS-ISO-seq Approach

Single-cell RNA sequencing is used in profiling gene expression differences between cells. Short-read sequencing platforms provide high throughput and high-quality information at the gene-level, but the technique is hindered by limited read length, failing in providing an understanding of the cell heterogeneity at the isoform level. This gap has recently been addressed by the long-read sequencing platforms that provide the opportunity to preserve full-length transcript information during sequencing. To objectively evaluate the information obtained from both methods, we sequenced four samples of patient-derived organoid cells of clear cell renal cell carcinoma and one healthy sample of kidney organoid cells on Illumina Novaseq 6000 and PacBio Sequel IIe. For both methods, for each sample, the cDNA was derived from the same 10x Genomics 3 single-cell gene expression cDNA library. Here we present the technical characteristics of both datasets and compare cell metrics and gene-level information. We show that the two methods largely overlap in the results but we also identify sources of variability which present a set of advantages and disadvantages to both methods.

genomics↗

bioRxiv2024

OmeSim: a genetics-based nonlinear simulator for in-between-ome and phenotype

MotivationDeciphering genetic basis of complex traits via genotype-phenotype association studies is a long-standing theme in genetics. The availability of molecular omics data (such as transcriptome) has enabled researchers to utilize "in-between-omes" in association studies, for instance transcriptome-wide association study. Although many statistical tests and machine learning models integrating omics in genetic mapping are emerging, there is no standard way to simulate phenotype by genotype with the role of in-between-omes incorporated. Moreover, the involvement of in-between-omes usually bring substantial nonlinear architecture (e.g., co-expression network), that may be non-trivial to simulate. As such, rigorous power estimations, a critical step to test novel models, may not be conducted fairly. ResultsTo address the gap between emerging methods development and the unavailability of adequate simulators, we developed OmeSim, a phenotype simulator incorporating genetics, an in-between-ome (e.g., transcriptome), and their complex relationships including nonlinear architectures. OmeSim outputs detailed causality graphs together with original data, correlations, and associations structures between phenotypic traits and omes terms as comprehensive gold-standard datasets for the verifications of novel tools integrating an in-between-ome in genotype-phenotype association studies. We expect OmeSim to enable rigorous benchmarking for the future multi-omics integrations. Availabilityhttps://github.com/zhoulongcoding/OmeSim Contactqingrun.zhang@ucalgary.ca

bioinformatics↗

bioRxiv2024

HemaCisDB: An Interactive Database for Analyzing Cis-Regulatory Elements Across Hematopoietic Malignancies

Noncoding cis-regulatory elements (CREs), such as transcriptional enhancers, are key regulators of gene expression programs. Accessible chromatin and H3K27ac are well-recognized markers for CREs associated with their biological function. Deregulation of CREs is commonly found in hematopoietic malignancies yet the extent to which CRE dysfunction contributes to pathophysiology remains incompletely understood. Here, we developed HemaCisDB, an interactive, comprehensive, and centralized online resource for CRE characterization across hematopoietic malignancies, serving as a useful resource for investigating the pathological roles of CREs in blood disorders. Currently, we collected 922 ATAC-seq, 190 DNase-seq, and 531 H3K27ac ChIP-seq datasets from patient samples and cell lines across different myeloid and lymphoid neoplasms. HemaCisDB provides comprehensive quality control metrics to assess ATAC-seq, DNase-seq, and H3K27ac ChIP-seq data quality. The analytic modules in HemaCisDB include transcription factor (TF) footprinting inference, super-enhancer identification, and core transcriptional regulatory circuitry analysis. Moreover, HemaCisDB also enables the study of TF binding dynamics by comparing TF footprints across different disease types or conditions via web-based interactive analysis. Together, HemaCisDB provides an interactive platform for CRE characterization to facilitate mechanistic studies of transcriptional regulation in hematopoietic malignancies. HemaCisDB is available at https://hemacisdb.chinablood.com.cn/.

bioinformatics↗

bioRxiv2024

U-FISH: a universal deep learning approach for accurate FISH spot detection across diverse datasets

In the rapidly advancing landscape of fluorescence in situ hybridization (FISH) technologies, there is a critical need for sophisticated yet adaptable methods for spot detection. This study introduces U-FISH, a deep learning approach that significantly improves accuracy and generalization capabilities. Our method utilizes a U-Net model to transform noisy and ambiguous FISH images into a standardized representation with consistent signal characteristics, facilitating efficient spot detection. For the training and evaluation of the U-FISH model, we have constructed a comprehensive dataset comprising over 4,000 images and more than 1.6 million manually annotated spots, sourced from both experimental and simulated environments. Our benchmarks demonstrate that U-FISH outperforms existing methods for FISH spot detection, offering improved versatility by eliminating the need for laborious manual parameter adjustments. This allows for its application across a broad spectrum of datasets and formats. Furthermore, U-FISH is designed for high scalability and is capable of processing 3D data, supporting the latest generation of file formats for large and complex datasets. To promote community adoption and ensure accessibility, we provide a user-friendly interfaces: Napari plugin, web application and command-line interface. The complete training dataset is made publicly available, laying a solid foundation for future research in this field.

bioinformatics↗

bioRxiv2024

Catalytically inactive SHP1-C453S mutant gain of "robust LLPS" function

SHP1 is a non-receptor protein tyrosine phosphatase extensively expressed in hematopoietic cells, exerting a pivotal role as an immunosuppressive factor. Our previous studies have suggested that SHP1 can undergo liquid-liquid phase separation (LLPS). In this study, the SHP1-C455S mutant, commonly utilized in biochemical assays due to its lack of catalytic phosphatase activity, unexpectedly exhibited a remarkably robust ability for LLPS. Since the C453S mutation has been previously shown to potentially induce a conformational transition of SHP1 from a closed to an open state, we hypothesize that the enhanced LLPS capability of SHP1 may be facilitated by this conformational alteration. The SHP1-C453S mutant exhibited robust LLPS activity, while completely abrogating its phosphatase activity. This allows for effective investigation of the catalytic activity and LLPS capability of SHP1.

molecular biology↗

bioRxiv2024

HTLV-1 infected T cells cause bone loss via small extracellular vesicles

Adult T cell leukemia (ATL), caused by infection with human T cell leukemia virus type 1 (HTLV-1), is often complicated by hypercalcemia and osteolytic lesions. Therefore, we studied the communication between patient-derived ATL cells (ATL-PDX) and HTLV-1 immortalized CD4+ T cell lines (HTLV/T) with osteoclasts and their effects on bone mass in mice. Intratibial inoculation of some HTLV/T lead to a profound local decrease in bone mass similar to marrow-replacing ATL-PDX, despite the fact that few HTLV/T cells persisted in the bone. To study the direct effect of HTLV/T and ATL-PDX on osteoclasts, supernatants were added to murine and human osteoclast precursors. ATL-PDX supernatants from hypercalcemic patients promoted formation of mature osteoclasts, while those from HTLV/T were variably stimulatory, but had largely consistent effects between human and murine cultures. Interestingly, this osteoclastic activity did not correlate with expression of osteoclastogenic cytokine RANKL, suggesting an alternative mechanism. HTLV/T and ATL-PDX produce small extracellular vesicles (sEV), known to facilitate HTLV-1 infection. We hypothesized that these sEV also mediate bone loss by targeting osteoclasts. We isolated sEV from both HTLV/T and ATL-PDX, and found they carried most of the activity found in supernatants. In contrast, sEV from uninfected activated T cells had little effect. Analysis of sEV (both active and inactive) by mass spectrometry and electron microscopy confirmed absence of RANKL and intact virus. Viral proteins Tax and Env were only present in sEV from the active, osteoclast-stimulatory group, along with increased representation of proteins involved in osteoclastogenesis and bone resorption. sEV injected over mouse calvaria in the presence of low dose RANKL caused more osteolysis than RANKL alone. Thus, HTLV-1 infection of T cells can cause release of sEV with strong osteolytic potential, providing a mechanism beyond RANKL production that modifies the bone microenvironment, even in the absence of overt leukemia.

cancer biology↗