Biology subjects

Huang, Y.

Publications and source records attributed to Huang, Y..

At least 163 records · Page 9Linked to original sources

bioRxiv2026

Gq-pathway activation in hippocampal CA1 astrocytes rescues ischemia-induced memory deficits and synaptic plasticity

More than 30% of stroke survivors develop post-stroke cognitive impairment (PSCI), for which current neuron-centric therapies not only lack cellular specificity but also carry risks of adverse effects such as epilepsy. Here, we explore the therapeutic potential of astrocytes by chemogenetically activating Gq signaling in hippocampal astrocytes, which rescues memory deficits and synaptic plasticity impairments in a mouse model of ischemic stroke. Gq activation restores dendritic complexity, spine density, and long-term potentiation in hippocampal CA1 neurons. Fiber photometry further reveals that astrocytic Ca{superscript 2} signals precede neuronal activity by 600 ms during novel environment exploration, indicating that astrocytes prime memory encoding. In contrast, Gi pathway activation induces pathological neuronal hyperactivity without cognitive improvement. These findings establish that astrocytes regulate post-stroke recovery through pathway-specific calcium signaling and uncover a previously unknown temporal hierarchy in astrocyte-neuron communication during memory processing, offering a new glia-targeted strategy to overcome the limitations of current neuromodulation approaches for PSCI.

neuroscience↗

bioRxiv2026

Systematic identification of tissue-conserved m6A sites reveals a stable epitranscriptomic regulatory layer controlling essential genes

Chemical modifications to RNA are fundamental regulators of cellular identity and function. Among these, N6-methyladenosine (m6A) is the most abundant mRNA modification in mammalian cell, governing major post-transcriptional processes. While conditional m6A dynamics are well studied, the extent and function of condition-independent, tissue-conserved (TC) m6A in humans remain unclear. Here we show that 5,945 TC sites are consistently methylated across 24 human tissues. These sites are enriched near stop codons, evolutionarily conserved, and characterized by distinct sequence signatures. RBM15/B are identified as candidate mediators of TC m6A deposition, and YTHDF1-3 and UPF1 are preferentially enriched at TC sites, supporting their role for m6A-linked mRNA decay. TC m6A sites mark 1,386 genes essential for core cellular processes like autophagy and homeostasis, showing stable expression and evolutionary constraint. Pan-cancer analysis reveals that TC m6A genes are disproportionately differentially expressed, alongside with altered RBM15/B expression, suggesting that disruption of this stable m6A layer may contribute to transcriptional changes in cancer.

molecular biology↗

bioRxiv2026

STiLE: Automated Tissue Microarray Dearraying for Spatial Transcriptomics

Tissue microarrays (TMAs) enable high-throughput spatial transcriptomic profiling of dozens of tissue cores on a single slide. However, existing dearraying methods operate on histological images and do not support the coordinate-based outputs of spatial transcriptomics platforms. Therefore, task of assigning cells to their respective cores (dearraying) remains a manual bottleneck. We present STiLE, a tool for automated TMA dearraying that operates solely on cell centroid coordinates. By eliminating dependence on image data, STiLE is robust to artifacts such as variable staining quality and uneven illumination. The algorithm combines connectivity-based component detection, density-based clustering (HDBSCAN), component-guided cluster merging, and optional grid-based peak detection. Validation on eleven public TMA samples (50-150 cores, three platforms) achieved ARI > 0.99, while systematic benchmarking on 396 synthetic datasets with realistic artifacts demonstrated consistently robust performance (mean ARI = 0.992). STiLE accepts standard formats (AnnData, CSV) and is platform-agnostic, supporting diverse platforms including Vizgen MERSCOPE, 10x Xenium, and NanoString CosMx. An interactive Streamlit interface enables parameter tuning, visual inspection, and region-based processing for large slides. Availability and Implementationhttps://pypi.org/project/stile; source at https://github.com/Huang-AI4Medicine-Lab/stile Contactyu Supplementary InformationSupplementary data are available at Bioinformatics online

bioinformatics↗

bioRxiv2026

Unbiased Single-Cell Transcriptome-Proteome Co-Profiling Reveals Malignant Dormancy and Post-Transcriptional Buffering of CTCs

Leptomeningeal metastasis is driven by rare cerebrospinal fluid circulating tumor cells (CSF-CTCs). However, the mechanisms underlying their adaptation to chemotherapeutic stress remain elusive, primarily because transcriptomics alone poorly predicts functional protein states. Here, we present scMAPS, a single-cell multi-omics method that employs magnetic-assisted partitioning cell lysates to enable unbiased transcriptome-proteome co-profiling without loss-prone physical splitting and precision device. By coupling scMAPS with our custom CLEAP (CTC Label-free Enrichment and Accurate Picking) system, we performed the first deep multi-omics profiling of rare clinical CSF-CTCs before and after localized chemotherapy, detecting an average of 2,547 proteins and 7,821 genes per cell. The integrated CLEAP-scMAPS pipeline reveals a coordinated prioritizing survival over proliferation malignant dormancy phenotype and identified post-transcriptional buffering as the primary driver of treatment resistance. Our platform enables the comprehensive molecular phenotyping of rare clinical specimens, providing a highly versatile framework for decoding complex post-transcriptional regulatory networks.

cell biology↗

bioRxiv2026

A Long-Context Generative Foundation Model Deciphers RNA Design Principles

Programmable design of RNA sequences with defined functions remains a central challenge in biology. Despite recent advances, existing RNA generative models lack robust controllable design capabilities and are constrained by short context windows, limiting their capacity to model the complex evolutionary manifold of full-length transcripts. Here, we introduce EVA (Evolutionary Versatile Architect), a long-context generative RNA foundation model trained on over 114 million full-length RNA sequences spanning the full breadth of evolutionary diversity. By integrating a Mixture-of-Experts architecture with an 8,192-token context window, EVA learns a unified, evolution-consistent representation of RNA sequence space that captures both global transcript structure and fine-grained functional elements. EVA establishes a unified framework for a broad spectrum of RNA design tasks within a single architecture, ranging from mutational fitness prediction to context-aware sequence engineering. We demonstrate EVAs versatility through the de novo design and targeted optimization of diverse RNA classes, including tRNAs, aptamers, and CRISPR guide RNAs, as well as mRNA and circular RNA therapeutics. In systematic evaluations, EVA achieves state-of-the-art performance across seven of nine established benchmarks, improving structural modeling accuracy by up to an order of magnitude compared to existing approaches. EVA is fully open-source at the following repository: https://github.com/GENTEL-lab/EVA.

molecular biology↗

bioRxiv2026

VarDCL: A Multimodal PLM-Enhanced Framework for Missense Variant Effect Prediction via Self-distilled Contrastive Learning

Missense variants are a common type of genetic mutation that can alter the structure and function of proteins, thereby affecting the normal physiological processes of organisms. Accurately distinguishing damaging missense variants from benign ones is of great significance for clinical genetic diagnosis, treatment strategy development, and protein engineering. Here, we propose the VarDCL method, which ingeniously integrates multimodal protein language model embeddings and self-distilled contrastive learning to identify subtle sequence and structural differences before and after protein mutations, thereby accurately predicting pathogenic missense variants. First, leveraging sequence and structural information before and after mutations, VarDCL generates sequence-structural multimodal features via different language models. It incorporates both global and local perspectives of feature embeddings to provide the model with dynamic, multimodal, and multi-view input data. Additionally, a Self-distilled Contrastive Learning (SDCL) module was proposed to enable more effective information integration and feature learning, enhancing the models ability to detect sequence and structural changes induced by mutations. Within this module, the multi-level contrastive learning framework excels at capturing information differences before and after mutations within the same modality; meanwhile, the feature self-distillation mechanism effectively utilizes high-level fused features to guide the learning of low-level differential features, facilitating information interaction across different modalities. The VarDCL framework not only ensures the models capacity to learn dynamic changes pre- and post-mutation but also significantly improves cross-modal information interaction between sequence and structure, thereby remarkably boosting the models performance in distinguishing pathogenic mutations from benign ones. To validate the effectiveness of VarDCL, extensive experiments were conducted. The ablation study demonstrates that all key components of VarDCL contribute significantly. On an independent test set containing 18,731 clinical variants, VarDCL achieved an AUC of 0.917, an AUPR of 0.876, an MCC of 0.690, and an F1-score of 0.789, outperforming 21 state-of-the-art existing methods. Benchmark analysis shows that VarDCL can be utilized as an accurate and potent tool for predicting missense variant effects.

bioinformatics↗

bioRxiv2026

Linking working memory maintenance and readout in monkey sensory and prefrontal cortex

Despite extensive research, the neural implementation of working memory, from information maintenance to readout that guides behavior, remains elusive. We provide direct evidence that neurons in auditory and prefrontal cortices of monkeys maintain tone-specific information via persistent changes in spiking during the memory delay. Crucially, during the subsequent readout phase, these same memory neurons transition to reflect the monkeys behavioral decisions, demonstrating a direct role in translating maintained information into action. The functional necessity of this neuronal implementation is confirmed by causal perturbations that impaired working memory performance. Notably, memory neurons could only be identified by comparing delay periods between tasks with different memory demands, rather than the typical approach of contrasting delay and baseline periods within a single task. These findings challenge previous efforts to localize working memory neurons and necessitate a fundamental reassessment of working memory mechanisms, reshaping both conceptual and methodological frameworks for future research.

neuroscience↗

bioRxiv2026

Single cell multiomics reveal clonal and functional dynamics of MDS stem/progenitor cells during hypomethylating therapy

Progressive somatic mutations in hematopoietic stem cells (HSCs) drive the development of myelodysplastic neoplasms (MDS). Hypomethylating agents such as azacitidine (AZA) can improve blood counts and reduce blasts, although responses are rarely durable. Determinants of AZA response are complex and incompletely understood, although accumulating evidence suggests that epigenetic rewiring of mutated HSCs underlies improved hematopoietic output. Using single cell multiomics on longitudinal bone marrow samples, we show that AZA responsiveness involves expansion of cells with transcriptomic profiles shared with hematopoietic stem and progenitor cells (HSPCs) from healthy donors. These regenerating cells are depleted of copy number variations and of TP53 mutations. We also identify patient-restricted cell populations, some of which recede through transcriptional restoration or AZA cytotoxicity, and others which expand, regardless of initial clinical response, and dominate at progression. Individual patients carried multiple patient-restricted populations which had unique surface immunophenotypes and were genetically distinct. Strikingly, sorted cells from in vivo progression clones that were AZA-refractive in patients regained AZA-sensitivity when cultured in vitro, suggesting that lack of AZA response at the cellular level can be modulated by cell-extrinsic factors in vivo. Overall, we find that AZA response involves partial hematopoietic regeneration via functional differentiation of mutated, but not cytogenetically abnormal HSPCs, and that persistence of AZA-refractive sub-populations contributes to eventual disease progression.

cancer biology↗

bioRxiv2026

Acute Degradation of Pumilio Proteins Uncovers a Biphasic Post-transcriptional Regulatory Hierarchy Controlling Embryonic Stem Cell Fate Decisions

Post-transcriptional regulation is critical for mammalian embryogenesis yet has been underexplored. We previously showed that RNA-binding Pumilio proteins (Pum1/2) are essential for early mouse embryogenesis and embryonic stem cell (ESC) functions. Here, using acute protein degradation systems combined with time-resolved RNA-seq and eCLIP, we delineate a two-phase regulatory hierarchy modulated by Pum1/2 in mouse ESCs. The first phase, occurring within 10 hours of Pum1/2 depletion, is predominantly the stabilization of over 100 Pum1/2-target mRNAs, while the second phase, occurring in subsequent 66 hours, propagates to over 1,000 mRNAs mostly through indirect regulatory effects. Functionally, Pum1/2 depletion delays transition from naive to formative pluripotency, impairs neuroectoderm differentiation, and enhances germline specification. Mechanistically, Pum1/2 directly repress mRNAs encoding PRC2 subunits, including Suz12, thereby constraining H3K27me3 deposition at neuroectodermal gene loci. These findings establish Pum1/2 as biphasic post-transcriptional regulators of pluripotency and lineage balance and link RNA stability control to chromatin-mediated silencing. HIGHLIGHTSO_LIAcute Pum1/2 degradation provides temporal resolution for profiling post-transcriptional regulation. C_LIO_LIPum1/2 destabilize more than 100 direct targets and modulate a biphasic network of over 1,000 mRNAs. C_LIO_LIPum1/2 loss delays pluripotency transition, suppresses neuroectoderm, and promotes germline fate. C_LIO_LIPum1/2 directly regulate Suz12 mRNA decay to modulate PRC2-mediated repression. C_LI

cell biology↗

bioRxiv2026

Regulation and Function of the HPV16 CircE7 RNA

High-risk human papillomaviruses (HPV), including HPV16, produce circular RNA that encompass the E7 oncogene (circE7). CircE7 can be detected in HPV16-positive cells and tumors, is preferentially localized to the cytoplasm, is N6-methyladenosine (m6A) modified and can be translated to produce the E7 oncoprotein. Here, we explored the regulation and function of circE7. Mutation of m6A motifs flanking the backsplice junction revealed a single essential m6A motif to be essential for circE7 formation. Mutation of this m6A motif promoted linear splicing of the E6*I splice site (226^409), suggesting that linear and circular E7 splicing are inversely regulated. Additionally, mutation of an IRES-like motif in circE7 significantly decreased E7 protein expression, without having significant effects on circE7 RNA levels. Knockdown of YTHDC1, but not other m6A-binding proteins, decreased both circE7 RNA and protein expression. BaseScope ISH was used to confirm the expression of circE7 in HPV positive head and neck squamous cell carcinoma cell lines. Using both qRT-PCR and BaseScope ISH, we found that serum and amino acid starvation significantly increased circE7 levels. Finally, we generated a HPV16 genome with two point mutations in the circE7 m6A motif (Mut2). Stable transduction of primary keratinocytes with Mut2 confirmed the loss of circE7 and increased expression of E6*I. The Mut2 HPV16 genome exhibited significantly decreased viral replication but an increased ability to transform primary keratinocytes. Our studies reveal that the precise regulation of circE7 and E6*I by m6A are critical for the ability of HPV16 to infect and transform keratinocytes.

molecular biology↗

bioRxiv2026

Exploring genetic, expression and regulatory patterns of parental alleles in Muscovy duck (Cairina moschata) using haplotype-resolved assemblies

BackgroundAlthough the biological mechanism for heterosis has been debated for a long time, heterosis is widely utilized to increase the global productivity of crops and livestock. Recently, the mechanism has been well characterized in crops and livestock with a male-heterogametic XY system due to genomic assembly advancements, especially the availability of haploid genomes. However, the biological mechanism for heterosis remains unclear in poultry possessing the female-heterogametic ZW system. ResultsHere, we assembled chromosome-level diploid and haploid genomes of the Muscovy duck. We developed an efficient and cost-effective method to assemble 12 variation graph-haploid Muscovy duck genomes from three full-sibling pairs with high quality using short-read Illumina sequences. We further characterized genetic, expression and regulatory patterns of parental alleles at multiple scales. We found that maternal haploid genomes generally had more open chromatin organization and higher accessibility, and higher levels of gene expression, while showing similar DNA methylation levels when compared to paternal haploid genomes. In contrast, the female paternal Z chromosome showed the most, and the male paternal Z chromosome presented more, relaxed chromatin organization and chromatin accessibility, and gene expression compared to the male maternal Z chromosome. Thus, the ZW system largely relies on compensation and balance to regulate gene expression on the sex Z chromosome. Moreover, we identified non-Mendelian regions covering 0.26% of the genome ([~]3.18 Mb). These regions contained lower gene density, GC content, and repeat sequence frequency, but were enriched for DNA motifs bound by transcription factors, likely leading to a compacted chromatin structure and lower chromatin accessibility. ConclusionsOur work here provides a comprehensive profile of parental alleles genetic, expression and regulatory patterns in the female-heterogametic ZW system, and might be useful for the utilization of heterosis in poultry.

genomics↗

bioRxiv2026

Neuronal expression of Retinoid-Related Orphan Receptor Gamma (RORγ) and revisiting its role in the Central Nervous System

Retinoid-related orphan receptor gamma (ROR{gamma}) is a lineage-defining transcription factor for T helper 17 (Th17) cells and has long been considered selectively expressed within the immune system. However, accumulating evidence has implicated Th17 cells and other ROR{gamma}-expressing immune populations in embryonic brain development and central nervous system (CNS) function. Notably, ROR{gamma}-Cre-mediated deletion of the tuberous sclerosis complex (TSC) has been reported to cause spontaneous seizures and premature lethality, leading to the conclusion that ROR{gamma}-expressing immune cells directly regulate CNS physiology. Using multiple ROR{gamma}-based reporter mouse lines, we identified unexpected and widespread neuronal labeling throughout the forebrain and cerebellum. ROR{gamma}-Cre:GFPf/ mice exhibited robust GFP expression in neurons despite the absence of detectable T cells in the brain. Neuronal recombination was evident prenatally and independently validated using the mT/mG reporter line, indicating transient ROR{gamma} expression in embryonic neurons. In contrast, a ROR{gamma}-GFP reporter showed no detectable ROR{gamma} expression in the postnatal brain, either at baseline or following pilocarpine-induced status epilepticus. These findings demonstrate that ROR{gamma} expression is not restricted to the immune lineage and reveal previously unrecognized developmental expression in the embryonic brain. Consequently, seizures observed following ROR{gamma}-Cre-mediated deletion of TSC1 are unlikely to arise from ROR{gamma}-expressing immune cell-dependent mechanisms but instead reflect direct neuronal loss of TSC1. Our results call for careful reinterpretation of prior studies attributing CNS phenotypes to ROR{gamma}-expressing immune cells based on ROR{gamma}-Cre-driven genetic models. SignificanceThis work identifies transient neuronal ROR{gamma} expression as a critical confounder in immune-targeted genetic studies and reveals a previously unrecognized embryonic expression of ROR{gamma} in neurons that may contribute to neurodevelopment. Our findings further raise the possibility that embryonic neurons represent unintended off-targets when deploying therapeutic strategies involving ROR{gamma} ligands.

neuroscience↗

bioRxiv2026

HuR inhibition attenuates hypertension and fibrosis in chronic kidney disease

BackgroundElevated RNA-binding protein HuR has been reported in patients with chronic kidney disease (CKD), but its specific pathogenic role remains unclear. Here, we investigated HuR involvement in progressive CKD induced by deoxycorticosterone acetate (DOCA) plus angiotensin II (Ang II) in mice and evaluated the therapeutic efficacy and mechanisms of the HuR inhibitor KH3. MethodsAdult male mice underwent uninephrectomy and were subjected to DOCA + Ang II infusion with 1% NaCl in drinking water. Mice were then treated with KH3 or vehicle for 3 weeks. Control mice received saline injections without DOCA and Ang II infusion. ResultsDOCA + Ang II infusion markedly increased HuR expression in circulating exosomes and kidney tissues, which was attenuated by KH3. KH3 halted the progression of albuminuria and improved renal function, and reduced kidney hypertrophy and glomerular and tubulointerstitial fibrosis compared with untreated DOCA + Ang II mice. These improvements were associated with reduced podocyte and tubular injury. KH3 also decreased renal macrophage infiltration and suppressed NF-{kappa}Bp65, Nox2, AKT phosphorylation, TGF-{beta}1, and Wisp1, consistent with reduced inflammation, oxidative stress, and fibrosis. In addition, KH3 partially lowered arterial blood pressure in DOCA + Ang II-infused mice, an effect that may involve suppression of SGLT2-associated profibrotic vascular responses, as supported by studies in cultured VSMCs and mesenteric resistance arteries. ConclusionsHuR is upregulated in DOCA + Ang II-induced renal and vascular injury and contributes to hypertensive, inflammatory, oxidative, and fibrotic responses in CKD. Pharmacologic inhibition of HuR-RNA interactions represents a promising therapeutic strategy for CKD. NOVELTY AND RELEVANCEO_ST_ABSWhat Is New?C_ST_ABSThis study identifies the RNA-binding protein HuR (ELAVL1) as a previously unrecognized upstream post-transcriptional regulator of blood pressure in hypertensive chronic kidney disease. We demonstrate for the first time that pharmacologic disruption of HuR-RNA interactions lowers arterial blood pressure in vivo. In addition, we uncover a novel HuR-SGLT2-vascular smooth muscle cell (VSMC) signaling axis, revealing that HuR regulates inducible vascular SGLT2 expression and Ang II-mediated vasoconstrictive responses. What Is Relevant?Hypertension in CKD arises from integrated renal and vascular dysfunction that is incompletely controlled by current therapies. Our findings are highly relevant because we identify HuR as a nodal post-transcriptional regulator that coordinates renal injury, vascular inflammation, and smooth muscle contractility, rather than acting within a single cell type or signaling pathway. Clinical and Pathophysiological ImplicationThese data support a model in which HuR-driven RNA regulatory programs amplify Ang II-dependent vascular hypercontractility and hypertension in CKD. Therapeutic targeting of HuR-RNA interactions represents a novel antihypertensive strategy that may complement renin-angiotensin-aldosterone system (RAAS) blockade and provides mechanistic insight into the blood pressure-lowering and vascular protective effects of SGLT2 inhibitors, including in non-diabetic CKD.

pathology↗

bioRxiv2026

Vagus Nerve Stimulation Ameliorates Epilepsy via a Gut Microbiota-Butyrate-Vagus Nerve-Brain Axis

Vagus nerve stimulation (VNS) is an established therapy for drug-resistant epilepsy, yet its mechanism remains partially understood. Here, through an integrated clinical-translational approach, we demonstrate that VNS modulates the gut microbiome and alter the level of butyrate to reduce seizure susceptibility via vagus nerve-dependent signaling. In a longitudinal cohort of epilepsy patients, VNS enriched short-chain fatty acid-producing bacteria, including Akkermansia muciniphila, Prevotella, Alistipes, and Odoribacter. Among clinical responders, fecal butyrate levels decreased concomitantly with an increase in plasma butyrate concentrations. Fecal microbiota transplantation from post-VNS patients into mice reduced seizure severity and improved gut barrier integrity. In a murine model of epilepsy, VNS similarly increased the abundance of Akkermansia and plasma butyrate concentrations, decreased fecal butyrate levels, and abolished its antiseizure effects upon vagotomy. Either colonization with Akkermansia muciniphila or exogenous butyrate supplementation was sufficient to reduce seizures and anxiety-like behavior, effects that also required intact vagal signaling. Our findings define a microbiota-butyrate-vagal pathway essential for the therapeutic effects of VNS, highlighting the gut-brain axis as a target for epilepsy treatment. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/707138v1_ufig1.gif" ALT="Figure 1"> View larger version (75K): org.highwire.dtl.DTLVardef@8243e6org.highwire.dtl.DTLVardef@37f0e6org.highwire.dtl.DTLVardef@a8b321org.highwire.dtl.DTLVardef@1887342_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LIVagus nerve stimulation (VNS) remodels the gut microbiota and alter the level of butyrate. C_LIO_LIVNS enriches short-chain fatty acids-producing bacteria, specifically Akkermansia muciniphila, in both humans and mice. C_LIO_LITransplantation of VNS-conditioned microbiota confers seizure protection and restores gut barrier integrity. C_LIO_LIAkkermansia muciniphila or exogenous butyrate is sufficient to reduce seizures via a vagus nerve-dependent pathway. C_LI

neuroscience↗

bioRxiv2026

Regulation of BCL11A DNA binding and expression in human erythrocyte precursor HUDEP-2 cells

BCL11A is a transcription factor crucial for neurodevelopment and hematopoiesis. It regulates the developmental switch from fetal hemoglobin (HbF) to adult hemoglobin and is a major therapeutic target for sickle cell disease and {beta}-thalassemia. BCL11A exists in multiple isoforms, including the L isoform (containing a single two-finger ZF2-3 DNA-binding domain) and the XL isoform (containing two arrays: the two-finger ZF2-3 and the three-finger ZF4-6). We used three approaches to investigate BCL11A functions. First, we examined DNA recognition by BCL11A, which preferentially binds the short 6-bp DNA motif TGNCCA. ZF4-6 recognizes all four variants of this motif with distinct strand-specific interactions: TGTCCA on the top strand, TG(A/C)CCA on the complementary strand, and the palindromic TGGCCA on either strand. ZF2-3 also binds TGTCCA from the top strand, featuring a unique thymine interaction by ZF2 Phe388. Motif multiplicity within BCL11A binding sites may promote BCL11A oligomerization by enabling multiple ZF arrays to engage DNA simultaneously. Second, we treated HUDEP-2 cells (which express adult hemoglobin) with inhibitors targeting three epigenetic silencing marks - DNA methylation, histone H3 lysine 9 methylation or H3 lysine 27 methylation. All treatments, individually or in combination, increased HbF expression to varying degrees. Notably, FTX6058 markedly reduced BCL11A transcription and translation (likely via effects on LIN28B), while EML741 caused a partial reduction. Third, we screened 213 pomalidomide- and lenalidomide-derived compounds and quantified proportions of HbF+ cells by flow cytometry. Effects of four compounds were analyzed by protein mass spectrometry. Although BCL11A levels themselves were unchanged, all four compounds selectively decreased levels of known pomalidomide targets, with consistently decreased levels of the zinc-finger proteins IKZF1 and ZFP91. Together, our studies clarify how BCL11A recognizes DNA, how its expression can be modulated epigenetically, and how small-molecule degraders influence its regulatory network, providing new avenues for HbF reactivation therapies.

biochemistry↗

bioRxiv2026

Chronic Unpredictable Stress Drives Non-pathological, Adaptive Metabolic Hormone Reprogramming with Reduced Insulin Resistance Linked to Depressive-like Behaviors

Major Depressive Disorder (MDD) is increasingly conceptualized as a neuroimmune-metabolic-oxidative stress (NIMETOX) condition, partly driven by environmental stressors. While new antidepressant strategies have emerged to target NIMETOX pathways, the mechanism by which chronic stress reshapes metabolic regulation-particularly in the absence of clinically overt metabolic disease-remain poorly understood. Using a 6-week chronic unpredictable mild stress (CUMS) paradigm in metabolically healthy male and female mice, we evaluated depressive-like behaviors alongside circulating glucose and metabolic hormones, including insulin, resistin, Glucose-dependent Insulinotropic Polypeptide (GIP), Glucagon-like Peptide-1 (GLP-1), glucagon, ghrelin, leptin, and Plasminogen Activator Inhibitor-1 (PAI-1). We further assessed whether simvastatin, curcumin, S-adenosyl methionine (SAMe), or pyrrolidine dithiocarbamate (PDTC), an NF-{kappa}B inhibitor, normalize CUMS-induced metabolic and behavioral alterations, using fluoxetine as a reference antidepressant. CUMS induced a hypoinsulinemic state accompanied by enhanced basal insulin sensitivity and reduced insulin resistance, while central appetite regulation and adipose inflammatory profiles remained preserved. Indices of lower insulin resistance were strongly associated with sucrose preference and immobility time. Glucagon and PAI-1 showed positive associations with novel object recognition performance, whereas GIP and leptin were inversely related to open-field activity. Glucose levels correlated positively with rearing behavior. Despite significant improvements in depressive-like behaviors, none of the pharmacological interventions normalized the stress-induced metabolic hormone profile. Marked sex differences were observed, with females displaying a catabolic, immune-ready phenotype and males showing a relative anabolic bias. These findings indicate that CUMS induces a non-pathological, adaptive metabolic hormone reprogramming rather than metabolic dysfunction, supporting the interpretation of stress-related metabolic changes as resilient adaptations within the NIMETOX framework.

neuroscience↗

bioRxiv2026

Neuronavigation-free and MRI-free Localization of Deep Brain Targets

Emerging non-invasive brain stimulation modalities, including transcranial focused ultrasound and transcranial interferential stimulation, offer the promise of safely and non-invasively modulating deep brain structures. Accurate targeting of these regions typically involves subject-specific MRI, limiting widespread deployment. Here, we introduce an MRI-free, neuronavigation-free method for localizing deep brain targets using only three simple scalp measurements. These measures define an affine transformation that maps the MNI152 standard head model to an individuals head geometry. We evaluated our approach on 50 healthy adults, comparing our model{square}predicted coordinates against ground-truth coordinates obtained via MRI-based nonlinear normalization. Across ten deep brain targets, our method achieved a mean localization error of 3.82 mm demonstrating a more accessible and cost-efficient alternative than MRI- or neuronavigation-based approaches.

neuroscience↗

bioRxiv2026

AncientMetagenomeDir dating metadataset highlights need for standardised radiocarbon reporting in ancient DNA

Ancient DNA is a valuable data source for the understanding of our past. However, to effectively interpret this data, it is essential to know the age of the samples from which the DNA is obtained. Although the field of palaeogenomics has been recognised for its robust open data sharing practices, dating information associated with analysed samples is not reported consistently across palaeogenomic studies, nor is it included as metadata in most genetic data repositories. Here, we describe the addition of standardised precise dating information for ancient microbial genomes into the AncientMetagenomeDir metadata repository of published ancient metagenomic samples. This extension currently includes dating information for over 700 ancient microbial genomic datasets, of which 333 are dated using historical, contextual, or stratigraphic methods, and 405 are radiocarbon dated. We quantitatively assess the quality of radiocarbon date reporting and find that, despite established reporting conventions, radiocarbon dating information is often reported inconsistently across ancient metagenomic studies. This new resource provides ancient microbial researchers with standardised dating information that facilitates more accurate and consistent analysis of metagenomic sequencing data. The dataset also highlights the need for greater standardisation of radiocarbon date reporting in original publications in order to allow effective reuse of this and future ancient microbial data.

bioinformatics↗