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Guo, M.

Publications and source records attributed to Guo, M..

At least 55 records · Page 3Linked to original sources
bioRxiv2025

HIF-1α/STOML2 mediated PINK1-dependent mitophagy activation against hypoxia-induced neuronal injury

Hypoxia contributes to brain disorders by causing neuronal injury. However, in the early stage of stress, neurons initiate a series of compensatory pathways to resist cell damage, but the underlying mechanisms have not been fully elucidated. In this study, we found that hypoxia transiently activates PTEN-induced kinase 1 (PINK1)-dependent mitophagy in the early stage before cell damage and neurological dysfunction. PINK1 overexpression protects neurons and it knockdown exacerbates neuronal damage, highlighting the key role of PINK1-dependent mitophagy in hypoxic adaptation. Mechanistically, hypoxia promotes HIF-1 nuclear translocation, inducing transcription of stomatin like 2 (STOML2). STOML2 relocates to the mitochondrial membrane, aiding phosphoglycerate mutase 5 (PGAM5) cleavage, which triggers PINK1-dependent mitophagy. Silencing HIF-1, STOML2, or PGAM5 inhibits PINK1-dependent mitophagy and worsens neurological function under hypoxia. Notably, intermittent hypoxia, a hypoxic conditioning strategy for improving hypoxic tolerance, enhances PINK1-dependent mitophagy by activating HIF-1/STOML2 axis, and protects neurons against hypoxia. In conclusion, our study reveals a new "self-protection" mechanism of neurons against hypoxic stress and discovers that intermittent hypoxia is a potential therapeutic strategy against hypoxia-induced injury.

neuroscience↗
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

Using rotational integration of oblique interferometric scattering (RO-iSCAT) to track axial spatiotemporal responses of membrane protrusions

Despite the crucial importance of dynamic membrane protrusions for understanding phagocytosis, cellular communication and mechanobiology, current imaging modalities struggle to quantitatively track their real-time, 3D spatiotemporal dynamics with sufficient molecular specificity and minimal perturbation. Many membrane protrusions studies still utilize confocal microscopy where its axial resolution and high phototoxicity remains a key limiting factor for live axial imaging. We discovered that multiple rotational oblique interference scattering (RO-iSCAT) leverages off-axis illumination to induce a larger lateral shift in out-of-focus iSCAT signals compared to in-focus signals. This phenomenon provides a foundation to generate speckle-free widefield interferometric signals with a 10-fold signal to noise ratio improvement, eliminating the need for any background subtraction. RO-iSCAT enables real-time, label-free, and minimally invasive imaging of diverse membrane protrusions within complex co-cultures. RO-iSCAT enables nanoscale-sensitive tracking of membrane protrusion dynamics along the axial direction. This allows for the construction of dynamic axial variance maps, facilitating quantitative measurements of membrane protrusion formation at tens to hundreds of nanometer displacements, without requiring 3D volumetric imaging. RO-iSCAT empowers real time quantitatively dissection of the axial spatiotemporal complexities of membrane protrusions and unlock future insights into fundamental processes like cell migration, durotaxis, and intercellular communication. Key pointsO_LIDiscovered that multiple integrated rotational oblique interference scattering (RO-iSCAT) generates speckle-free widefield interferometric signals with a 10-fold signal to noise ratio improvement, eliminating the need for any background subtraction. C_LIO_LIRemoved need for 3D volumetric imaging to quantified axial motion of membrane protrusion forming tethers, trails and bridge with within [~] tens of nanometer accuracy. C_LIO_LIEnabled classification of membrane protrusions that, despite possessing identical chemical compositions, are differentiated by their interactions, thus offering a qualitative comparison of membrane protrusions at the nanoscale in living cells. C_LI Summary Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/644841v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@b183a4org.highwire.dtl.DTLVardef@39a944org.highwire.dtl.DTLVardef@197f019org.highwire.dtl.DTLVardef@1438b3_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗
bioRxiv2025

Enzyme Co-Scientist: Harnessing Large Language Models for Enzyme Kinetic Data Extraction from Literature

The extraction of molecular annotations from scientific literature is critical for advancing data-driven research. However, traditional methods, which primarily rely on human curation, are labor-intensive and error-prone. Here, we present an LLM-based agentic workflow that enables automatic and efficient data extraction from literature with high accuracy. As a demonstration, our workflow successfully delivers a dataset containing over 91,000 enzyme kinetics entries from around 3,500 papers. It achieves an average F1 score above 0.9 on expert-annotated subsets of protein enzymes and can be extended to the ribozyme domain in fewer than 3 days at less than $90. This method opens up new avenues for accelerating the pace of scientific research.

biochemistry↗
bioRxiv2025

Collective Transitions from Orbiting to Matrix Invasion in 3D Multicellular Spheroids

Coordinated cell rotation along a curved matrix interface can sculpt epithelial tissues into spherical morphologies. Subsequently, radially-oriented invasion of multicellular strands or branches can occur by local remodeling of the confining matrix. These symmetry-breaking transitions emerge from the dynamic reciprocity between cells and matrix, but remain poorly understood. Here, we show that epithelial cell spheroids collectively transition from circumferential orbiting to radial invasion via bi-directional interactions with the surrounding matrix curvature. Initially, spheroids exhibit an ellipsoidal shape but become rounded as orbiting occurs. However, cells gradually reorient from coordinated rotation towards outward strand invasion due to the accumulation of contractile tractions at discrete sites. Remarkably, the initial ellipsoid morphology predicts subsequent invasion of 2-4 strands roughly aligned with the major axis. We then perturb collective migration using osmotic pressure, showing that orbiting can be arrested and invasion can be reversed. We also investigate coordinated orbiting in "mosaic" spheroids, showing a small fraction of "leader" cells with weakened cell-cell adhesions can impede collective orbiting but still invade into the matrix. Finally, we establish a minimal self-propelled particle model to elucidate how collective orbiting is mediated by the crosstalk of cell-cell and cell-matrix adhesion along a curved boundary. Altogether, this work elucidates how tissue morphogenesis is governed by the interplay of collective behaviors and the local curvature of the cell-matrix, with relevance for embryonic development and tumor progression.

biophysics↗
bioRxiv2025

Structural basis for the evolution of a domesticated group II intron-like reverse transcriptase to function in host cell DNA repair

A previous study found that a domesticated bacterial group II intron-like reverse transcriptase (G2L4 RT) functions in double-strand break repair (DSBR) via microhomology-mediated end joining (MMEJ) and that a mobile group II intron-encoded RT has a basal DSBR activity that uses conserved structural features of non-LTR-retroelement RTs. Here, we determined G2L4 RT apoenzyme and snap-back DNA synthesis structures revealing novel structural adaptations that optimized its cellular function in DSBR. These included a unique RT3a structure that stabilizes the apoenzyme in an inactive conformation until encountering an appropriate substrate; a longer N-terminal extension/RT0-loop with conserved residues that together with a modified active site favors strand annealing; and a conserved dimer interface that localizes G2L4 RT homodimers to DSBR sites with both monomers positioned for MMEJ. Our findings reveal how a non-LTR-retroelement RT evolved a dedicated cellular function and suggest new ways of optimizing these RTs for genome engineering applications.

molecular biology↗
bioRxiv2025

AR-V7 condensates drive androgen-independent transcription in castration resistant prostate cancer

Biomolecular condensates organize cellular environments and regulate key processes such as transcription. We previously showed that full-length androgen receptor (AR-FL), a major oncogenic driver in prostate cancer (PCa), forms nuclear condensates upon androgen stimulation in androgen-sensitive PCa cells. Disrupting these condensates impairs AR-FL transcriptional activity, highlighting their functional importance. However, resistance to androgen deprivation therapy often leads to castration-resistant prostate cancer (CRPC), driven by constitutively active splice variants like AR variant 7 (AR-V7). The mechanisms underlying AR-V7s role in CRPC remain unclear. In this study, we characterized the condensate-forming ability of AR-V7 and compared its phase behavior with AR-FL across a spectrum of PCa models and in vitro conditions. Our findings indicate that cellular context can influence AR-V7s condensate-forming capacity. Unlike AR-FL, AR-V7 spontaneously forms condensates in the absence of androgen stimulation and functions independently of AR-FL in CRPC models. However, AR-V7 requires a higher concentration to form condensates, both in cellular contexts and in vitro. We further reveal that AR-V7 drives transcription via both condensate-dependent and condensate-independent mechanisms. Using an AR-V7 mutant incapable of forming condensates, while retaining nuclear localization and DNA-binding ability, we reveal that the condensate-dependent regime activates part of the oncogenic KRAS pathway in CRPC models. Genes under this condensate-dependent regime were found to harbor significantly higher numbers of AR-binding sites and exhibited boosted expression in response to AR-V7. These findings uncover a previously unrecognized role of AR-V7 condensate formation in driving oncogenic transcriptional programs and shed light on its unique contribution to CRPC progression. HighlightsO_LIAR-V7 condensates form independently of both androgens and AR-FL in CRPC models. C_LIO_LIAR-V7 mediates condensate-dependent and independent transcription C_LIO_LICondensate-dependent transcription enables boosted expression of oncogenic KRAS genes C_LIO_LICondensate-dependent genes exhibit an exponential increase in expression, with a higher number of AR binding sites potentially playing a key role in their reliance on condensate formation. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/631986v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@16b50d1org.highwire.dtl.DTLVardef@86e3b6org.highwire.dtl.DTLVardef@1cfe7f3org.highwire.dtl.DTLVardef@8532a2_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗
bioRxiv2025

Temporal Dynamics of Microbial Communities in Anaerobic Digestion: Influence of Temperature and Feedstock Composition on Reactor Performance and Stability.

Anaerobic digestion (AD) offers a sustainable biotechnology to recover resources from carbon- and nutrient-rich wastewater streams, such as food-processing wastewater. Despite the wide adoption of crude wastewater characterisation, the impact of detailed chemical fingerprinting on AD remains underexplored. This study investigated the influence of fermentation-wastewater composition and operational parameters on AD over time to identify critical parameters influencing microbiome diversity and reactor performance. Eighteen bioreactors were operated under various operational conditions using mycoprotein fermentation wastewater. Detailed chemical analysis fingerprinted the molecules in the fermentation-wastewater throughout the AD process including sugars, sugar alcohols and volatile fatty acids (VFAs). High-throughput sequencing revealed distinct microbiome profiles linked to temperature and reactor configuration, with mesophilic conditions supporting a more diverse and densely connected microbiome. Importantly, significant elevations in Methanomassiliicoccus were correlated to high butyric acid concentrations and decreased biogas production, further elucidating the role of this newly discovered methanogen in AD. Reactors from different experimental runs had distinct VFA profiles, which impacted microbial taxonomy and diversity. Dissimilarity analysis demonstrated the importance of individual VFAs, sugars and sugar alcohols on microbiome diversity, highlighting the need for detailed chemical fingerprinting in AD studies of microbial trends. Furthermore, machine learning models predicting reactor performance achieved high accuracy based on operational parameters and microbial taxonomy. Operational parameters were found to have the most substantial influence on chemical oxygen demand removal, whilst Oscillibacter and two Clostridium species were highlighted as key factors in biogas production. By integrating detailed chemical and biological fingerprinting with explainable machine learning models this research presents a novel approach to advance our understanding of AD microbial ecology, offering insights for industrial applications of sustainable waste-to-energy systems.

microbiology↗
bioRxiv2025

Unveiling the Evolution of Antimicrobial Peptides in Gut Microbes via Foundation Model-Powered Framework

Antimicrobial resistance poses a growing threat to public health, emphasizing the urgent need for novel therapeutic strategies. Antimicrobial peptides (AMPs), short peptide sequences with diverse mechanisms of action, offer a promising alternative due to their broad-spectrum activity against pathogens. Recent advances in protein language models (PLMs) have revolutionized protein structure prediction and functional annotation, highlighting their potential for AMP discovery and therapeutic development. In this context, we present AMP-SEMiner (Antimicrobial Peptide Structural Evolution Miner), an AI-driven framework designed to identify AMPs from metagenome-assembled genomes (MAGs). By integrating PLMs, structural clustering and evolutionary analysis into the framework, AMP-SEMiner can identify AMPs encoded by small open reading frames (smORFs) and encrypted peptides (EPs), significantly expanding the discovery space. Using this approach, we identified 1,670,600 AMP candidates from diverse habitats. Experimental validation of 29 candidates revealed antimicrobial activity in 18, with 13 surpassing antibiotics in effectiveness. Further analysis of AMPs from human gut microbiomes demonstrated both conserved and adaptive evolutionary strategies, ensuring their functional efficacy in the dynamic gut environment. These findings position AMP-SEMiner as a powerful tool for the discovery and characterization of novel AMPs, with significant potential to drive the development of new antimicrobial therapies.

microbiology↗
bioRxiv2025

HD2Net: A Deep Learning Framework for Simultaneous Denoising and Deaberration in Fluorescence Microscopy

Fluorescence microscopy is essential for biological research, offering high-contrast imaging of microscopic structures. However, the quality of these images is often compromised by optical aberrations and noise, particularly in low signal-to-noise ratio (SNR) conditions. While adaptive optics (AO) can correct aberrations, it requires costly hardware and slows down imaging; whereas current denoising approaches boost the SNR but leave out the aberration compensation. To address these limitations, we introduce HD2Net, a deep learning framework that enhances image quality by simultaneously denoising and suppressing the effect of aberrations without the need for additional hardware. Building on our previous work, HD2Net incorporates noise estimation and aberration removal modules, effectively restoring images degraded by noise and aberrations. Through comprehensive evaluation of synthetic phantoms and biological data, we demonstrate that HD2Net outperforms existing methods, significantly improving image resolution and contrast. This framework offers a promising solution for enhancing biological imaging, particularly in challenging aberrating and low-light conditions.

bioengineering↗
bioRxiv2024

The Impact of Memory and Stress on Choice Consistency

Choice consistency is a fundamental aspect of rational decision-making, reflecting the stability and reliability of an individuals preferences. However, real-world decision-making often deviates from this ideal, as individuals frequently make irrational or inconsistent choices in value-based decision-making. This study combined computational modeling, neuroimaging, and behavioral assessments to elucidate the mechanisms by which stress and memory affect choice consistency. Remembered items exhibited higher choice consistency compared to forgotten items. Computational modeling further indicated that the drift rate was higher, and the decision threshold lower, for remembered food items compared to forgotten ones. Stress was found to impair both choice consistency and memory retrieval, with stress-induced declines in memory accuracy positively correlating with reductions in choice reaction times. Activation of the dorsolateral prefrontal cortex (DLPFC) during the pre-choice anticipation period was positively associated with choice consistency. Similarly, activation of the orbitofrontal cortex (OFC) during the memory retrieval of food stimuli correlated with improved memory accuracy. These findings suggest that stress may impair choice consistency by disrupting memory retrieval processes. Overall, our study provides novel insights into the role of stress and memory in decision-making, offering a more nuanced understanding of the neural and cognitive processes that govern choice behavior.

neuroscience↗
bioRxiv2024

mTOR inhibition alleviated tau phosphorylation-induced mitochondrial impairment, oxidative stress, and cognitive impairment

AimHyperphosphorylated tau is a hallmark of Alzheimers disease (AD). However, whether mammalian target of rapamycin (mTOR) directly regulates tau phosphorylation at Ser214, Ser356, and Thr231 and how such regulation affects mitochondrial function remain unclear. In this study, we aimed to determine whether mTOR-mediated tau phosphorylation disrupts mitochondrial and metabolic profiles and cognitive function and whether these effects can be reversed by the mTOR inhibitor rapamycin. MethodsTau3E-overexpressing mice were generated by bilateral injection of adeno-associated virus vectors encoding the phosphomimetic TauS214E/T231E/S356E (Tau3E) variant into the hippocampal CA3 region of 2-month-old C57BL/6 mice. The mice received intraperitoneal rapamycin for one week. Cognitive performance was assessed using the Morris water maze. MALDI-mass spectrometry imaging was conducted to evaluate metabolic alterations in the brain tissue slices. mTOR, p70S6K, and tau phosphorylation protein expression; mitochondrial dynamics markers; and reactive oxygen species (ROS) levels were analyzed by Western blotting, immunofluorescence, and flow cytometry in HT22 cells, Tau3E mice, and postmortem AD brain tissues. ResultsPhosphorylated mTORS2448 colocalized with p-TauSer214, p-TauSer356, and p-TauThr231 in the hippocampal CA3 region of AD brains. HT22 cells and Tau3E mice exhibited increased levels of p-mTOR, p-p70S6K, and ROS production; mitochondrial fragmentation; and tau phosphorylation at Ser214, Ser356, and Thr231. Rapamycin treatment partially ameliorated cognitive deficits, reduced oxidative stress and mitochondrial dysfunction, and restored metabolic profile particularly the inosine-pentose phosphate pathway-glycolysis metabolic axis, structural lipidome axis and the neurotransmitter homeostasis. ConclusionmTOR activation contributes to site-specific tau hyperphosphorylation, mitochondrial dysfunction, and cognitive impairment. Pharmacological inhibition of mTOR by rapamycin attenuated tau pathology, regulated metabolic alterations, preserved mitochondrial homeostasis, and improved cognitive function, suggesting a potential therapeutic strategy for AD.

neuroscience↗
bioRxiv2024

Disease-Linked Regulatory DNA Variants and Homeostatic Transcription Factors in Epidermis

Identifying noncoding single nucleotide variants (SNVs) in regulatory DNA linked to polygenic disease risk, the transcription factors (TFs) they bind, and the target genes they dysregulate is a goal in polygenic disease research. Massively parallel reporter gene analysis (MPRA) of 3,451 SNVs linked to risk for polygenic skin diseases characterized by disrupted epidermal homeostasis identified 355 differentially active SNVs (daSNVs). daSNV target gene analysis, combined with daSNV editing, underscored dysregulated epidermal differentiation as a pathomechanism shared across common polygenic skin diseases. CRISPR knockout screens of 1772 human TFs revealed 108 TFs essential for epidermal progenitor differentiation, uncovering novel roles for ZNF217, CXXC1, FOXJ2, IRX2 and NRF1. Population sampling CUT&RUN of 27 homeostatic TFs identified allele-specific DNA binding (ASB) differences at daSNVs enriched near epidermal homeostasis and monogenic skin disease genes, with notable representation of SP/KLF and AP-1/2 TFs. This resource implicates dysregulated differentiation in risk for diverse polygenic skin diseases.

genetics↗
bioRxiv2024

Linking candidate causal autoimmune variants to T cell networks using genetic and epigenetic screens in primary human T cells.

Genetic variants associated with autoimmune diseases are highly enriched within putative cis-regulatory regions of CD4+ T cells, suggesting that they alter disease risk via changes in gene regulation. However, very few genetic variants have been shown to affect T cell gene expression or function. We tested >18,000 autoimmune disease-associated variants for allele-specific expression using massively parallel reporter assays in primary human CD4+ T cells. The 545 expression-modulating variants (emVars) identified greatly enrich for likely causal variants. We provide evidence that many emVars are mediated by common upstream regulatory conduits, and that putative target genes of primary T cell emVars are highly enriched within a lymphocyte activation network. Using bulk and single-cell CRISPR-interference screens, we confirm that emVar-containing T cell cis-regulatory elements modulate both known and novel target genes that regulate T cell proliferation, providing plausible mechanisms by which these variants alter autoimmune disease risk.

genetics↗
bioRxiv2024

ConoDL: A Deep Learning Framework for Rapid Generation and Prediction of Conotoxins

Conotoxins, being small disulfide-rich and bioactive peptides, manifest notable pharmacological potential and find extensive applications. However, the exploration of conotoxins vast molecular space using traditional methods is severely limited, necessitating the urgent need of developing novel approaches. Recently, deep learning (DL)-based methods have advanced to the molecular generation of proteins and peptides. Nevertheless, the limited data and the intricate structure of conotoxins constrain the application of deep learning models in the generation of conotoxins. We propose ConoDL, a framework for the generation and prediction of conotoxins, comprising the end-to-end conotoxin generation model (ConoGen) and the conotoxin prediction model (ConoPred). ConoGen employs transfer learning and a large language model (LLM) to tackle the challenges in conotoxin generation. Meanwhile, ConoPred filters artificial conotoxins generated by ConoGen, narrowing down the scope for subsequent research. A comprehensive evaluation of the peptide properties at both sequence and structure levels indicates that the artificial conotoxins generated by ConoDL exhibit a certain degree of similarity to natural conotoxins. Furthermore, ConoDL has generated artificial conotoxins with novel cysteine scaffolds. Therefore, ConoDL may uncover new cysteine scaffolds and conotoxin molecules, facilitating further exploration of the molecular space of conotoxins and the discovery of pharmacologically active variants. The code is available at https://github.com/xueww/ConoDL.The supplementary material and model are available at https://zenodo.org/records/10679280.

bioinformatics↗
bioRxiv2024

The role of TRPV4 in acute sleep deprivation-induced fear memory impairment

Acute sleep deprivation (ASD) negatively impacts fear memory, but the underlying mechanisms are not fully understood. Transient receptor potential vanilloid 4 (TRPV4), a cation channel which is closely correlated with the concentration of Ca2+, and neuronal Ca2+ overloading is a crucial inducement of learning and memory impairment. This study utilized an acute sleep-deprived mouse model combined with fear conditioning to investigate these mechanisms. mRNA sequencing revealed increased expression of TRPV4 in mice with ASD-induced fear memory impairment. Notably, knockdown of TRPV4 reversed ASD-induced fear memory impairment. ASD leads to the increased concentration of Ca2+. Additionally, we observed a reduction in spine density and a significant decrease in postsynaptic density protein 95 (PSD95), which is associated with synaptic plasticity, in sleep-deprived fear memory impairment mice. This indicates that ASD may cause overloaded Ca2+, disrupting synaptic plasticity and impairing fear memory. Moreover, TRPV4 knockdown significantly decreased Ca2+ concentration, mitigated the loss of dendritic spines and reduction of PSD95, contributing to the restoration of fear memory. These findings indicate a potential protective role of TRPV4 knockdown in counteracting ASD-induced fear memory deficits. Collectively, our results highlight that TRPV4 may be a potential therapeutic target in mediating fear memory impairment due to ASD and underscore the importance of sleep management for conditions like PTSD.

neuroscience↗
bioRxiv2024

KLF6 in Pulmonary Hypertension: The Dual Role of Friend and Foe

BackgroundPulmonary arterial hypertension (PAH) is a severe lung condition with unmet clinical needs, marked by endothelial damage, excessive repair, and arterial narrowing, though mechanisms remain unclear. MethodsThis study investigates Kruppel-like transcription factor 6 (KLF6), known for its role in tissue injury response and cancer onset, in PAH through functional and expression analyses in human pulmonary artery endothelial cells (HPAECs) and human and rodent PAH lung tissues. FindingsKLF6 expression increased in early experimental PAH in response to hypoxia and inflammation, while the expression of endothelial homeostasis regulators KLF2 and KLF4, previously linked to PAH, decreased. KLF6 overexpression enhanced pulmonary endothelial survival and angiogenesis through broad transcriptomic remodelling, including changes in genes governing endothelial homeostasis and arterial identity (e.g., SOX17, ERG, BMPR2) and promoted human pulmonary artery smooth muscle cells (HPASMCs) proliferation, which was inhibited by bosentan and imatinib. KLF6 functional and transcriptomic responses differed from those of KLF2 and KLF4. Comparative analysis of RNA-seq PAH databases and spatial transcriptomic analysis of human idiopathic PAH (IPAH) tissues highlighted strong association of KLF6 with vascular remodelling, especially with the formation of angioproliferative (plexiform) lesions. High KLF6 expression was observed in IPAH vascular endothelium and IPAH blood-derived endothelial progenitor cells. Single nucleus RNA-seq in PAH associated with Alveolar Capillary Dysplasia confirmed disease-related elevated KLF6 expression in arterial endothelial cells. InterpretationAccumulation and reorganization of KLF6+ endothelial cells characterize human PAH. KLF6 drives endothelial repair and an apoptosis-resistant, angioproliferative endothelial phenotype. Targeting KLF6 could be a novel therapeutic approach for PAH. RESEARCH IN CONTEXTO_ST_ABSEvidence before this studyC_ST_ABSPulmonary arterial hypertension (PAH) is a progressive and life-shortening lung disease with no cure. In PAH development, endothelial damage is believed to initiate an abnormal repair process, leading to extensive vascular remodelling and the formation of complex angio-proliferative (plexiform) lesions. We conducted a systematic search of the PubMed database to identify transcription factors potentially involved in driving endothelial repair and promoting an apoptosis-resistant, angio-proliferative vascular phenotype. Previous research has linked the loss of endothelial homeostasis in PAH to the inhibition of transcription factors KLF2 and KLF4. While KLF6 is known to play a vital role in vascular development and supports endothelial repair, its specific role in PAH remains unexplored. Added value of this studyThis study is the first to establish a connection between KLF6 and PAH pathogenesis. Our findings reveal that KLF6 activation is a key feature of an apoptosis-resistant, angio-proliferative endothelial phenotype characteristic of human PAH-associated plexogenic arteriopathy. Furthermore, we identify both overlapping and unique activation patterns and transcriptional programs regulated by KLF2, KLF4, and KLF6 in lung endothelial cells, highlighting KLF6s unique role in driving endothelial dysfunction in PAH. Implications of all the available evidenceTargeting KLF6 offers a promising therapeutic strategy to counteract excessive vascular repair and prevent the vascular remodelling in PAH. FUNDINGPhD studentship from the University of Hafr Al Batin, KSA, and the Saudi Cultural Bureau in London (UKSACB) (Rehab Alharbi). Spatial transcriptomic reagents were funded by the British Heart Foundation Centre of Research Excellence Award and Senior BHF Fellowship FS/18/52/33808 (Allan Lawrie). Human samples used in this research project were obtained from the Imperial College Healthcare Tissue Bank (ICHTB) supported by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Imperial College Healthcare NHS Trust and Imperial College London.

cell biology↗