Biology subjects

Huang, S.

Publications and source records attributed to Huang, S..

At least 127 records · Page 7Linked to original sources

bioRxiv2025

The piRNA PETPIR Regulates Trophoblast Function by Modulating YTHDF2-Mediated m6A Methylation of NDRG1 in Preeclampsia

Preeclampsia is marked by abnormal placental development and impaired trophoblast function. We identified Preeclampsia-associated trophoblast piRNA (PETPIR) as an important regulator of trophoblast function and m6A modifications. Placental samples from preeclamptic and healthy pregnancies were analyzed using piRNA microarrays and m6A epitranscriptomic profiling. Functional assays in trophoblast cells, transcriptomic analysis, and an in vivo PETPIR-overexpressing mouse model were employed to investigate PETPIRs mechanistic roles. We found that PETPIR was significantly upregulated in preeclamptic placentas. PETPIR inhibited trophoblast cell proliferation, migration, and invasion by inducing cell cycle arrest and apoptosis. Transcriptome analysis demonstrated that PETPIR activated hypoxia-responsive pathways. Additionally, PETPIR enhanced global m6A methylation and stabilized NDRG1 transcripts by interacting with the m6A reader YTHDF2. In vivo, PETPIR overexpression in pregnant mice recapitulated key features of preeclampsia, including maternal hypertension and fetal growth restriction. These results suggest PETPIR is a key player in the pathogenesis of preeclampsia, functioning through the PETPIR/YTHDF2/NDRG1 axis to drive hypoxia and m6A epitranscriptomic dysregulation. We provide novel insights into preeclampsias molecular mechanisms, highlighting piRNA as a promising biomarker and therapeutic target.

molecular biology↗

bioRxiv2025

Single-cell RNA Sequencing Analysis of Sputum Cell Transcriptomes Reveals Pathways and Communication Networks That Contribute to the Pathogenesis of Asthma

BackgroundAsthma is driven by complex interactions amongst structural airway cells, cells of the immune system, and the environmental. While sputum cell characterization has been instrumental in studying asthma pathogenesis and refining treatment strategies, the nuances of cellular transcriptomes and intercellular communication in asthmatic sputum remain poorly understood. MethodsWe employed single-cell RNA sequencing to analyze cells isolated form the sputum from 16 asthma patients and 8 non-asthmatic controls. Cell identities were established using curated marker genes and SingleR annotation. We compared cell-specific gene expression and communication networks between asthmatic and control groups, correlating findings with distinct pathways that were dysregulated in asthma. Findings37,565 cellular transcriptomes were captured and analyzed. 15 distinct cell populations were identified, including various macrophages, monocytes, dendritic cells, and lymphocytes, along with rare cell types such as mast cells, innate lymphoid cells, bronchial epithelial cells, and eosinophils. Intercellular communication analysis indicated heightened signaling activity in asthma compared to controls, particularly in CD4+ T cells and dendritic cells which exhibited the most significant increases in RNA expression of outgoing signaling molecules. Notably, the ADAM12-SDC4 and CCL22-CCR4 ligand-receptor pathways demonstrated the strongest shifts between asthma and control subjects, particularly between dendritic cells and CD4 lymphocytes. InterpretationSC RNA seq profiling the asthma cellular transcriptome analysis of sputum highlights both innate and adaptive immune mechanisms that are significantly amplified in asthma. The elevated expression of ADAM12-SCD4 and CCL22-CC4 point to their critical role in asthma pathogenesis, suggesting potential avenues for targeted therapies and improved management of this chronic condition. Research in contextO_ST_ABSEvidence Before This StudyC_ST_ABSAsthma is a chronic inflammatory disease of the airways driven by intricate interactions between airway structural and immune cells. Previous transcriptomic studies have focused on bulk RNA samples from the airway, leaving significant gaps in our understanding of the cellular dynamics that characterize the disease. Added Value of This StudyThis study pioneers the use of single-cell RNA sequencing on sputum samples from patients with asthma, revealing a detailed landscape of cell phenotypes and dynamic communication patterns that distinguish asthmatic individuals from those without the disease. Notably, heightened intercellular communication was observed in asthma, particularly between CD4+ T cells and dendritic cells, confirming that there is a robust network of interactions between immune and structural cells. The notable increase of ADAM12-CCR4 communication from dendritic cells to other cell populations further emphasizes the dysregulation present in asthma. Implications of All Available EvidenceOur transcriptomic profiling illuminates distinct and amplified communication pathways involving CD4+ T cells and dendritic cells, aligning with established paradigms of both adaptive and innate immune responses in asthma pathogenesis. The identification of ADAM12 and CCR4 pathway dysregulation adds a critical layer to our understanding of the molecular mechanisms underpinning asthma, paving the way for potential therapeutic targets and personalized treatment strategies. Single cell profiling of the sputum has the capacity to characterize the breadth of cellular phenotypes, their functional status, and the communication in the airway at a level not previously attainable.

genomics↗

bioRxiv2025

Trial-Level Representational Similarity Analysis

Neural representation refers to the brain activity that stands in for ones cognitive experience, and in cognitive neuroscience, a prominent method of studying neural representations is representational similarity analysis (RSA). While there are several recent advances in RSA, the classic RSA (cRSA) approach examines the structure of representations across numerous items by assessing the correspondence between two representational similarity matrices (RSMs): usually one based on a theoretical model of stimulus similarity and the other based on similarity in measured neural data. However, because cRSA cannot weigh the contributions of individual trials (RSM rows/columns), it is fundamentally limited in its ability to assess subject-, stimulus-, and trial-level variances that all influence representation. Here, we formally introduce trial-level RSA (tRSA), an analytical framework that estimates the strength of neural representation for singular experimental trials and evaluates hypotheses using multi-level models. First, we verified the correspondence between tRSA and cRSA in quantifying the overall representation strength across all trials. Second, we compared the statistical inferences drawn from both approaches using simulated data that reflected a wide range of scenarios. Compared to cRSA, the multi-level framework of tRSA was both more theoretically appropriate and significantly sensitive to true effects. Third, using real fMRI datasets, we further demonstrated several issues with cRSA, to which tRSA was more robust. Finally, we presented some novel findings of neural representations that could only be assessed with tRSA and not cRSA. In summary, tRSA proves to be a robust and versatile analytical approach for cognitive neuroscience and beyond.

neuroscience↗

bioRxiv2025

Pangenome analyses of tea plant reveal structural variations driven gene expression alterations and agronomic trait diversification

Tea plants, one of the worlds most economically significant beverage crops, exhibit extensive genetic diversity and a rich array of secondary metabolites. While structural variations (SVs) are key drivers of phenotypic innovation, their regulatory roles in transcriptional networks and agronomic trait diversification remain underexplored in this perennial crop. We constructed a pangenome from 21 representative tea accessions and their wild relatives. Comparative analysis revealed that wild relatives harbor a greater abundance of gibberellin-related genes, whereas cultivated accessions exhibit an expansion of defense-related genes. We identified 522,428 non-redundant SVs, primarily insertions/deletions (73.56%), which were enriched in promoter regions. These SVs influenced the expression of genes governing flavor compounds, including those involved in flavonoid, amino acid, and terpenoid biosynthesis. Population SV analysis of 275 tea accessions uncovered three haplotypes in the ANS3 gene promoter region, with Hap1, containing a 192 bp insertion, predominantly found in wild relatives but largely lost in modern cultivars. This insertion enhanced CtANS3 expression, increasing anthocyanin accumulation. Additionally, a 159 bp insertion in the CtLRR1 promoter reduced resistance to Colletotrichum gloeosporioides in wild relatives. Our findings underscore SVs as pivotal regulators of genomic diversity, flavor differentiation, and adaptive evolution in tea plant domestication.

genomics↗

bioRxiv2025

The distinct role of human PIT in attention control

Attentional distribution depends on both endogenous and exogenous processes, but how they interact in attention allocation remains unclear. The attentional priority map, jointly determined by stimulus saliency and task relevance, provides a framework for investigating their interplay. We propose that the human posterior inferotemporal cortex (hPIT), located near object-processing cortical areas, serves as an attentional priority map. Using fMRI with behavioral tasks, we show that hPIT shows stronger attentional modulation than classical attention regions across motion, color, and shape tasks. hPIT shows lateralized attentional enhancement even in the absence of visual input, with further elevated modulation in the presence of stimuli, indicating its integrated role in priority control. Furthermore, its modulation is invariant to stimulus category but sensitive to attentional demands, and the region is functionally connected to both dorsal and ventral attentional networks. These findings highlight the hPIT as an integrator in attentional control and provide critical insights into the brains strategy for optimizing responses to the environment.

neuroscience↗

bioRxiv2025

Transcriptomic splicing analysis reveals a gene-independent form of TE reactivation in tumors representing unrecognized source of oncogenes and neoantigens

Transposable elements (TEs) are reactivated in tumors and serve as significant contributors to tumor transcriptomic complexity and heterogeneity. However, their repetitive nature and diverse transcriptional forms have hindered efforts to characterize TE-derived transcripts independent of host gene contexts. Here, using our self-developed splicing-junction analysis tool ASJA, we systematically interrogated TE transcription across 32 cancer types, identifying transcripts autonomously initiated from and exclusively spliced among TEs with high TE content, termed TEtrans. Our analysis revealed 5,361 TEtrans exhibiting pan-cancer prevalence, tumor-specific expression and features of mature transcripts, including canonical splicing, 5 caps and polyA tails. Mostly unannotated and enriched in intergenic regions, TEtrans are predominantly derived from primate-specific classes with conserved splice pattern. TEtrans burden demonstrates heterogeneous associations with prognosis and immune activity across cancers, while their expression can be epigenetically dual-regulated by stemness- and inflammation-associated transcription factors. Functional studies uncovered that TEtrans could act as oncogenes, exemplified by tsTE1, a HERVH-derived transcript that promotes colorectal cancer proliferation by enhancing TOP1-mediated DNA supercoil relaxation. Remarkably, [~]7.2% of TEtrans are identified to encode tumor neoantigens, including viral proteins and unannotated peptides, which are shared among patients and validated by proteogenomic analysis. These TEtrans-derived neoantigens are immunogenic both in vitro and in vivo, and exceed neoepitopes from genomic alterations in abundance per tumor, particularly in cancers with low mutational burden. Collectively, as a gene-independent form of TE-derived transcripts, TEtrans represents a unique source of oncogenes and tumor neoantigens, expanding the functional repertoire of TEs in cancer biology and offering new avenues for therapeutic targeting. HighlightsO_LITEtrans are tumor-specific transcripts with conserved splicing patterns, predominantly derived from primate TEs in intergenic regions. C_LIO_LITEtrans expression is epigenetically activated and dually regulated by stemness/inflammation transcription factors. C_LIO_LITEtrans function as oncogenes, exemplified by tsTE1 enhancing TOP1-mediated DNA relaxation. C_LIO_LITEtrans encode tumor neoantigens that elicit CD8+ T cell responses, providing targets for immunotherapy, especially in low-mutation tumors. C_LI Abstract figure O_FIG O_LINKSMALLFIG WIDTH=198 HEIGHT=200 SRC="FIGDIR/small/640928v1_ufig1.gif" ALT="Figure 1"> View larger version (78K): org.highwire.dtl.DTLVardef@1d2d4cforg.highwire.dtl.DTLVardef@918f14org.highwire.dtl.DTLVardef@489465org.highwire.dtl.DTLVardef@1069d17_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2025

Reconstructing the Huang Surname and Its Related Lineages: A Comprehensive Analysis of Molecular Genetics and Historical Genealogies

The origin of the Huang surname is complex, but according to historical texts such as Shiji, it can be traced back to the Yellow Emperor (Huang Di) and his descendant, Bo Yi, who played a key role in controlling the floods during the Xia Dynasty and was granted the surname Ying. Bo Yi had two sons who each established a state, one named Huang and the other Xu. After the fall of Huang, its people adopted Huang as their surname and migrated to Hubei. Similarly, after the fall of Xu, its people adopted Xu as their surname, spreading throughout Jiangsu. Further descendants of Bo Yi also gave rise to 12 other surnames, including the Liang surname. Given that the narratives of ancient texts are often regarded as legendary, we aim to independently verify the authenticity of the historical records by analyzing the paternal haplotypes of the Huang surname and its related surnames using scientific methods. We analyzed the surname genetic data of 207,333 Han Chinese males published by 23Mofang and combined it with independent sequencing research. In 189 Y chromosome haplotype branches, each containing at least five individuals with the surnames Huang, Xu, or Liang, and formed around 4,000 years ago, we analyzed the proportion of samples with the Huang surname from Hubei among all samples nationwide with the Huang surname. Branches with a high proportion in Hubei are likely to represent the Hubei-specific lineage of the Huang surname. We similarly analyzed the proportion of samples with the Xu surname in the Jiangsu area and of samples with the Liang surname in the Hebei area. We further applied two criteria to identify the ancestral genotype of a specific surname in a given region: first, the surname should appear at a high frequency among all surnames within that genotype; second, the proportion of samples of the region among nationwide samples should be high. The results showed that the Hubei-specific Huang surname likely carries the MF14296/MF15137 haplotype downstream of the supergrandfather O-M117-F8-F2137-A16635-A16636. Our independent sampling study found that A16636 is the dominant haplotype among the Huang surname population in nine neighboring Huang surname villages around Luohansi in Huangpi, Hubei. The Jiangsu-specific Xu surname likely carries the MF38096/SK1726 haplotype under the A16636 sister branch F15823, while the Hebei-specific Liang surname likely carries the F15823 related MF14287/MF15398/MF14963 haplotype. This conclusion aligns with the historical records, providing strong genetic evidence that supports the authenticity of these ancestral claims regarding the Huang and Xu states and the Xia dynasty.

genetics↗

bioRxiv2025

POCALI: Prediction and insight On CAncer LncRNAs by Integrating multi-omics data with machine learning

Long non-coding RNAs (lncRNAs) are receiving increasing attention as biomarkers for cancer diagnosis and therapy. Although there are many computational methods to identify cancer lncRNAs, they do not comprehensively integrate multi-omics features for predictions or systematically evaluate the contribution of each omics to the multifaceted landscape of cancer lncRNAs. In this study, we developed an algorithm, POCALI, to identify cancer lncRNAs by integrating 44 omics features across six categories. We explored the contributions of different omics to identifying cancer lncRNAs and, more specifically, how each feature contributes to a single prediction. We also evaluated our model and benchmarked POCALI with existing methods. Finally, we validated the cancer phenotype and genomics characteristics of the predicted novel cancer lncRNAs. POCALI identified secondary structure and gene expression-related features as strong predictors of cancer lncRNAs, and epigenomic features as moderate predictors. POCALI performed better than other methods, especially in terms of sensitivity, and predicted more candidates. Novel POCALI-predicted cancer lncRNAs had strong relationships with cancer phenotypes, similar to known cancer lncRNAs. Overall, this study facilitated the identification of previously undetected cancer lncRNAs and the comprehensive exploration of the multifaceted feature contributions to cancer lncRNA prediction.

bioinformatics↗

bioRxiv2025

Streptococcus mutans LiaS gene regulates its cross-kingdom interactions with Candida albicans to promote oral candidiasis

Candida albicans and Streptococcus mutans are commonly associated with oral candidiasis and dental caries, respectively. C. albicans is frequently detected in the dental plaque of early childhood caries. The synergistic interaction between C. albicans and S. mutans in dental caries suggests that fungi enhance the production of acidic metabolites and contributes to the development of caries. However, the cross-kingdom interaction of S. mutans in oral candidiasis and the pathways regulating hyphal formation remain unclear. The liaS gene of S. mutans 593 plays a crucial role in maintaining membrane homeostasis. In comparison to the S. mutans 593 and liaS- complementary strains, the liaS- strain significantly diminished the proliferation, biofilm formation, extracellular polysaccharide production, and C. albicans hyphal transformation of co-cultured microorganisms. The deletion of liaS gene in the dual-species downregulated the expression of yeast-hyphal transformation related genes hwp1, ece1, als1, and als3 in C. albicans, while also impacted the expression of phr1 and phr2. Additionally, liaS- inhibited glycolysis and pyruvate kinase activity in S. mutans, leading to a decreased in water-soluble and water-insoluble glucans production in biofilm. The significant downregulation of glucosyltransferase transcription relates genes expression in liaS- resulted in inhibition of the cross-kingdom interaction in the dual-species. In the murine oropharyngeal candidiasis model, dual-species infection with liaS- results in a reduction of fungal and hyphal invasion compared to the combinations of C. albicans and S. mutans 593. In conclusion, S. mutans/liaS play a crucial role in the development of oral candidiasis suggests that it could be a targeted strategy for managing this condition. ImportanceCandidiasis involves the transition of C. albicans into hyphae and the fungi invasion of the oropharyngeal mucosa. The transformation of hyphal is influenced by a variety of internal and external environmental factors. Our research findings suggest that the deletion of the liaS gene leads to a reduction in gtfs gene expression, impacting glycolysis efficiency and effectively decreasing EPS production in the dual-species biofilm. Also, downregulation of the expression levels of yeast-hyphal transformation related genes to inhibiting the virulence function of C. albicans. Our study demonstrates that S. mutans 593/liaS promotes epithelial invasion of C. albicans in mouse oropharyngeal candidiasis, offering a potential therapeutic approach for addressing cross-kingdom infections.

microbiology↗

bioRxiv2025

Mutation in the rat interleukin 34 gene impacts macrophage development, homeostasis and inflammation in the brain and periphery

Interleukin-34 (IL34) and colony stimulating factor 1 (CSF1) signal through a shared receptor (CSF1R) to control macrophage survival, differentiation and function. Here we describe the impact of loss of function mutation in the rat Il34 gene. Il34-/- rats showed a partial reduction in macrophages within squamous epithelia (Langerhans-like cells) and in the testis. In the brain, microglia and brain-associated macrophages were selectively depleted in grey matter. A gradient of microglial density in Il34-/- cortex suggests that CSF1 can diffuse outwards from the corpus callosum. The reduced density of microglia was not associated with detectable neuropathology or behavioural alterations. In RNA-seq analysis of cortex, hippocampus and thalamus the only change is selective and uniform loss of the microglial signature. In the periphery, increased Il34 expression has been associated with epithelial injury. In the adenine diet model of renal interstitial fibrosis both Il34 and Csf1 were induced. The absence of IL34 led to a significant reduction in macrophage recruitment compared to controls, but pathology assessed histologically or by detection of damage-associated mRNA signature was unaffected. We suggest that IL34 and CSF1 provide redundant signals to sustain microglia and to direct macrophage recruitment and repair tissue injury in the periphery.

immunology↗

bioRxiv2025

TransBrain: A computational framework for translating brain-wide phenotypes between humans and mice

Despite remarkable advances in whole-brain imaging technologies, the lack of quantitative approaches to bridge rodent preclinical and human studies remains a critical challenge. Here we present TransBrain, a computational framework enabling bidirectional translation of brain-wide phenotypes between humans and mice. TransBrain improves human-mouse homology mapping accuracy through: (1) a novel detached region-specific deep neural network trained on integrated multi-modal human transcriptomics to improve cortical correspondence (89.5% improvement over the original transcriptome), which revealed two evolutionarily conserved gradients explaining >50% of cortical organizational variance, and (2) random walk-based graph representation learning to construct a unified cross-species latent space incorporating anatomical hierarchies and structural connectivity. We demonstrated TransBrains utility through three cross-species applications: quantitative assessment of resting-state brain organizational features, inferring human cognitive functions from mouse optogenetic circuits, and translating molecular insights from mouse models to individual-level mechanisms in autism. TransBrain enables quantitative cross-species comparison and mechanistic investigation of both normal and pathological brain functions.

neuroscience↗

bioRxiv2025

A comprehensive comparison on clustering methods for multi-slide spatially resolved transcriptomics data analysis

Spatial transcriptomics (ST) data, by providing spatial information, enables simultaneous analysis of gene expression distributions and their spatial patterns within tissue. Clustering or spatial domain detection represents an essential methodology for ST data, facilitating the exploration of spatial organizations with shared gene expression or histological characteristics. Traditionally, clustering algorithms for ST have focused on individual tissue sections. However, the emergence of numerous contiguous tissue sections derived from the same or similar tissue specimens within or across individuals has led to the development of multi-slide clustering methods. In this study, we assess seven single-slide and three multi-slide clustering methods on two simulated datasets and three real datasets. Additionally, we investigate the effectiveness of pre-processing techniques, including spatial coordinate alignment (for example, PASTE) and gene expression batch effect removal (for example, Harmony), on clustering performance. Our study provides a comprehensive comparison of clustering methods for multi-slide ST data, serving as a practical guide for method selection in various scenarios.

bioinformatics↗

bioRxiv2025

Structure-based discovery of highly bioavailable, covalent, broad-spectrum coronavirus-MPro inhibitors with potent in vivo efficacy

The main protease (MPro) of SARS-CoV-2 is crucial for viral replication and is the target of nirmatrelvir (the active ingredient of Paxlovid) and ensitrelvir. The identification of new agents with differentiated pharmacokinetic and drug resistance profiles will increase therapeutic options for COVID-19 patients and bolster pandemic preparedness generally. Starting with a lead-like dihydrouracil chemotype from a large-library docking campaign, we improved MPro inhibition >1,000-fold by engaging additional sub-sites in the MPro active site, most notably by employing a latent propargyl electrophile to engage the catalytic Cys145. Advanced leads from this series, including AVI-4516 and AVI-4773 show pan-coronavirus antiviral activity in cells, very low clearance in mice, and for AVI-4773 a rapid reduction in viral titers more than a million-fold after just three doses, more rapidly and effectively than the approved drugs, nirmatrelvir and ensitrelvir. Both AVI-4516 and AVI-4773 are well distributed in mouse tissues, including brain, where concentrations ten or fifteen-thousand times the EC90, respectively, are observed eight hours after an oral dose. As exemplar of the series, AVI-4516 shows minimal inhibition of major CYP isoforms and human cysteine and serine proteases, likely due to its latent-electrophilic warhead. AVI-4516 also exhibits synergy in cellular infection models in combination with the RdRp inhibitor molnupiravir, while related analogs strongly inhibit nirmatrelvir-resistant MPro mutant virus in cells. The in vivo and antiviral properties of this new chemotype are differentiated from existing clinical and pre-clinical MPro inhibitors, and will advance new therapeutic development against emerging SARS-CoV-2 variants and other coronaviruses. One sentence summaryThis manuscript describes the discovery of a new class of potent inhibitors of the SARS-CoV-2 major proteases (MPro) with a unique mechanism of inhibition, pan coronaviral activity in cellulo, exquisite selectivity vs. the human proteome, and exceptional in vivo efficacy in SARS-CoV-2 infection models that surpasses that of currently approved agents.

biochemistry↗

bioRxiv2025

Non-mutated human tau stimulates Alzheimer's disease-relevant neurodegeneration in a microglia-dependent manner

The accumulation of abnormal, non-mutated tau protein is a key pathological hallmark of Alzheimers disease (AD). Despite its strong association with disease progression, the mechanisms by which tau drives neurodegeneration in the brain remain poorly understood. Here, we selectively expressed non-mutated or mutated human microtubule-associated protein tau (hMAPT) in neurons across the brain and observed neurodegeneration in the hippocampus, especially associated with non-mutated human tau. Single-nuclei RNA sequencing confirmed a selective loss of hippocampal excitatory neurons by the wild-type tau and revealed the upregulation of neurodegeneration-related pathways in the affected populations. The accumulation of phosphorylated tau was accompanied by cellular stress in neurons and reactive gliosis in multiple brain regions. Notably, the lifelong absence of microglia significantly and differentially influenced the extent of neurodegeneration in the hippocampus and thalamus. Therefore, our study established an AD-relevant tauopathy mouse model, elucidated both neuron-intrinsic and neuron-extrinsic responses, and highlighted critical and complex roles of microglia in modulating tau-driven neurodegeneration.

neuroscience↗

bioRxiv2025

ATR and PKMYT1 inhibition re-sensitize a subset of TNBC patient-derived models to carboplatin inducing mitotic catastrophe

Triple negative breast cancer (TNBC) is associated with poor prognosis and is mainly treated with chemotherapy-based regimens, often including carboplatin. Resistance to carboplatin is a common clinical issue that is either initially present or develops with treatment. Overcoming this resistance is a significant clinical challenge, which highlights the need for novel therapeutic strategies. We used a pooled shRNA screening approach with a chemoresistant TNBC patient-derived xenograft (PDX) cell (PDXC) line to identify targets whose knockdown would enhance the efficacy of carboplatin. This screening led to the identification of the ATR (ataxia telangiectasia and Rad3-related) gene as a key therapeutic vulnerability. Inhibiting ATR with BAY1895344 or AZD6738 re-sensitized carboplatin-resistant PDXCs and PDXs to carboplatin, resulting in an increase in DNA damage, and apoptosis. ATR inhibition disrupts the dependence of carboplatin-resistant cells on the S and G2/M checkpoints for DNA repair, leading to mitotic catastrophe. We further found that the addition of ATR inhibitors to carboplatin reversed a FOXM1-targeted gene program enabling premature passage into mitosis. Moreover, targeting PKMYT1, a regulator of cyclin-dependent kinase 1 (CDK1) controlling the G2/M checkpoint, through knockdown or with the novel PKMYT1 inhibitor RP-6306, also enhanced carboplatin efficacy in our TNBC PDXC. Molecular factors associated with response to the ATR inhibitor/carboplatin combination included low RNA levels of PKMYT1. These results underscore the pivotal roles of ATR and PKMYT1 in mediating resistance to carboplatin in TNBC and support targeting these pathways to overcome carboplatin resistance in this disease.

cancer biology↗

bioRxiv2025

Single-base m6A epitranscriptomics reveals novel HIV-1 host interaction targets in primary CD4+ T cells

N6-methyladenosine (m6A) is the most prevalent cellular mRNA modification and plays a critical role in regulating RNA stability, localization, and gene expression. m6A modification plays a vital role in modulating the expression of viral and cellular genes during HIV-1 infection. HIV-1 infection increases cellular RNA m6A levels in many cell types, which facilitates HIV-1 replication and infectivity in target cells. However, the function of m6A modification in regulating HIV-1 infection of primary CD4+ T cells remains unclear. Here, we demonstrate that HIV-1 infection of Jurkat CD4+ T cells and primary CD4+ T cells promotes the interaction between the m6A writer complex subunits methyltransferase-like 3 and 14 (METTL3/METTL14). Using single-base m6A-specific RNA sequencing, we identified several differentially m6A-modified cellular mRNAs, including perilipin 3 (PLIN3), during HIV-1 infection in primary CD4+ T cells. Interestingly, HIV-1 infection increased PLIN3 mRNA level by enhancing its stability, but PLIN3 protein level was decreased. Knocking down PLIN3 in primary CD4+ T cells reduced HIV-1 production but enhanced virion infectivity. In contrast, in Jurkat cells, PLIN3 mRNA and protein expression levels were unaffected by HIV-1 infection, and knocking out PLIN3 did not impact HIV-1 production or infectivity. These results indicate that the interplay between HIV-1 and PLIN3 is cell-type specific and only observed in primary CD4+ T cells. Overall, our results highlight the importance of m6A RNA modification in HIV-1-infected primary CD4+ T cells and suggest its significance as a regulatory mechanism in HIV-1 infection. Author SummaryN6-methyladenosine (m6A) is a common chemical modification on mRNA that helps control RNA stability, localization, and gene expression. m6A modification of viral and cellular RNA is important for HIV-1 infection. In this study, we found that HIV-1 infection of CD4+ T cells enhanced the interaction between two proteins, METTL3 and METTL14, which are responsible for adding m6A modifications to RNA. Using m6A-specific RNA sequencing, we identified several mRNAs with altered m6A modifications during HIV-1 infection, including one called PLIN3. Interestingly, HIV-1 infection stabilized and increased PLIN3 mRNA levels, but reduced PLIN3 protein expression in primary CD4+ T cells. When we knocked down PLIN3 in primary CD4+ T cells, it decreased HIV-1 production but made the HIV-1 particles more infectious. In contrast, in the Jurkat CD4+ T cell line, HIV-1 infection did not affect PLIN3 expression and knockout of PLIN3 did not alter HIV-1 production or infectivity, suggesting that the effect is specific to primary CD4+ T cells. Our findings show the importance of m6A RNA modification in HIV-1 infection by regulating host genes like PLIN3 and suggest a unique regulatory mechanism in HIV-1 infected primary CD4+ T cells.

microbiology↗

bioRxiv2024

Microphysiological uremia model reveals biophysical potentiators of vascular dysfunction

Cardiovascular disease is a leading cause of mortality in individuals with chronic kidney disease. Hypertension, common among patients with chronic kidney disease, is a major contributor to both kidney damage and the heightened cardiovascular risk in these patients. Advanced chronic kidney disease is associated with elevated levels of circulating uremic toxins, particularly indoxyl sulfate and p-cresyl sulfate, and are known to exacerbate cardiovascular risk by promoting inflammatory processes, including monocyte adhesion, rolling, and extravasation. However, despite the established link between chronic kidney disease and cardiovascular disease, the specific role of uremic toxins in monocyte-endothelial interactions in hypertensive settings remains largely underexplored. In this study, we developed a 3D microfluidic model to examine the effects of indoxyl sulfate on monocyte adhesion and extravasation across engineered microvessels embedded in collagen hydrogels with different densities under controlled luminal pressure. We found that elevated pressure alone significantly enhanced monocyte adhesion and extravasation, regardless of matrix density, and that the uremic environment further increased these effects. Additionally, denser hydrogels primed THP-1 monocyte cells toward a pro-inflammatory like phenotype with reduced phagocytic capacity, while softer hydrogels induced an anti-inflammatory like phenotype with enhanced phagocytosis. However, exposure to the uremic environment diminished phagocytosis and shifted cells toward a pro-inflammatory like state, irrespective of matrix density. The presented approach has the potential to experimentally dissect multiple factors that contribute to elevated cardiovascular risks in chronic kidney disease patients and improve the understanding of mechanisms involved in monocyte dynamics in chronic kidney disease- related cardiovascular disease.

bioengineering↗

bioRxiv2024

Radiation damage behavior of soft matter in ultrafast cryo-electron microscopy (cryo-UEM)

Whether time-modulated pulsed-electron imaging in ultrafast electron microscopy (UEM) can mitigate the electron radiation damage that occurs to samples, is still controversial. The effectiveness of such mitigation effect and relevant potential application in cryo-EM remain to be explored. Herein, we built an ultrafast cryo-EM (cryo-UEM) device based on an ultrafast laser system. Using such equipment and the saturated aliphatic hydrocarbon compounds (C44H90), the fading curves of diffraction intensity and corresponding critical electron doses (Ne) of the samples were carefully measured under different imaging modes, temperatures, imaging dose rates and pulsed repetition rates. Our experimental results show that, the fading curves and Ne values of the C44H90 crystals are uncorrelated with the imaging electron dose rates and do not show dependence on the dose-rate effect. As the temperature decreased, the Ne values of the sample increased, indicating the cryoprotective effect on radiation damage to the samples. Surprisingly, at a constant temperature, the fading curves and Ne values of the sample in multi-electrons-packet and near-single-electron-packet pulsed modes are all approximately the same as those in conventional continuous electron-beam mode, even when the results are obtained at different pulsed repetition rates. These results show that the time-modulated pulsed electron beam does not seem to mitigate the electron radiation damage that occurs on samples. Our findings offer new insights and experimental basis for the radiation damage behavior of samples under electron beams, and provide guidance and inspiration for elucidating the fundamental principles of radiation damage.

biophysics↗