Biology subjects

Jin, H.

Publications and source records attributed to Jin, H..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Benchmarking of duplex sequencing approaches to reveal somatic mutation landscapes

Detecting somatic mutations in normal tissues is challenging due to sequencing errors and the low allele fractions of post-zygotic variants. Duplex sequencing greatly reduces errors and can detect mutations at any allele fraction, but systematic, cross-platform comparisons are lacking. We present a comprehensive benchmarking of six duplex sequencing technologies used by the SMaHT Network: CODEC, CompDuplex-seq, HiDEF-seq, NanoSeq, ppmSeq, and VISTA-seq. We evaluated their performance using cord blood DNA, a tumor-normal cell line mixture, and homogenates from six human tissues. Each method shows distinct profiles in genomic footprint, sensitivity, and cost. Despite differences in library construction and sequencing platforms, estimates of mutation rates and mutational signatures are highly concordant. Integration with ultra-deep whole-genome sequencing shows that duplex approaches sensitively capture mutations and signatures beyond embryonic or clonally expanded variants. These results provide a foundation for selecting duplex methods and interpreting their data, enabling scalable single-molecule analyses of somatic mutation landscapes. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=101 SRC="FIGDIR/small/692823v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@123b221org.highwire.dtl.DTLVardef@83ba0aorg.highwire.dtl.DTLVardef@2b0ab0org.highwire.dtl.DTLVardef@1cae35e_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

bioRxiv2025

Sustained Humoral Activation through self-amplifying mRNA Vaccination Enhances Longitudinal Antibody Function in a Phase III Trial

Sustained and functional antibody responses to respiratory pathogens through vaccination is critical for global public health. The development and deployment of mRNA vaccines during the coronavirus disease 2019 (COVID19) pandemic was a landmark achievement in modern medicine and ushered in a new age of vaccine innovation. The mRNA-based vaccines elicited strong antibody responses, both neutralizing and extra-neutralizing, against the viral Spike protein. The antibody levels waned with time since vaccination, and that coupled with the antigenic drift of the virus prompted updates to the mRNA vaccine composition and evaluation of other mRNA modalities. Self-amplifying mRNA (sa-mRNA) vaccines such as ARCT-154 can prolong antigen production and durability of humoral immune response post-immunization, and can thus be administered at a lower dose. How this translates into the overall humoral architecture compared to that shaped by conventional mRNA vaccinations, however, is unclear. Here, we analyze serum-based antibody responses from a recent Phase III trial comparing humoral responses elicited by ARCT-154 and mRNA BNT162B2. All participants had received three doses of mRNA COVID-19 vaccines and were randomized to receive a booster dose of ARCT-154 or BNT162B2. Primary outcomes were to quantify waning responses against ancestral/wild type SARS-CoV-2 Spike (WT Spike) and a panel of antigenically SARS-CoV-2 variants Spikes. Through a systems serology approach, we identified that the sa-mRNA vaccine ARCT-154 elicited a unique antibody response compared to BNT162B2 defined by a sustained, activating profile to the vaccine-encoded Spike protein and a broad spectrum of drifted Spikes. Notably, potently activating Fc{gamma}RIIIA-binding antibodies showed a sustained stimulation in the ARCT-154-treatment arm, and this translated to an enhanced natural killer (NK) cell activation. The NK-activation through ARCT-154 was present for both target WT Spike and the antigenically drifted BA.5 Spike, which was the predominant form of SARS-CoV-2 during the observation period. Our results support a model whereby prolonged antigen expression and presentation moves immune profiles towards activating phenotypes with broad antigenic coverage.

immunology↗

bioRxiv2025

Skull Bone Marrow Drainage and Its Associations with Inflammation, Sleep Quality, and Cognitive Performance

BackgroundRecent studies using human craniotomy samples and murine models have revealed channels that connect the inner skull cortex to the skull marrow cavities. While cerebrospinal fluid (CSF) tracer access to skull bone marrow has been described in CSF circulation disorders, evidence on regional patterns and clinical correlates in broader clinical cohorts is limited. MethodsThree-dimensional imaging was performed at baseline, 4.5, 15, and 39 hours post-gadolinium administration in 87 patients with neurological conditions. Signal changes in skull bone marrow near the superior sagittal sinus, lateral fissure, and cisterna magna were recorded. CSF drainage function was characterized as the percentage changes in the signal unit ratio within the skull bone marrow from baseline to time points post administration of gadolinium. ResultsThe tracer drained from CSF into the skull bone marrow, highlighting the drainage variations nearby different regions. Reduced drainage was associated with female sex, hypertension, diabetes, and elevated neutrophil levels (p < 0.05). Drainage near the superior sagittal sinus was inversely associated with sleep quality and positively associated with cognitive scores, and partially accounted for the association of sleep quality with cognitive function (indirect effect {Delta}{beta} = -0.092; bootstrap 95% CI -0.195 to -0.004; proportion mediated {approx} 38%). ConclusionThese results support the presence of skull bone marrow adjacent routes for CSF tracer movement and suggest that skull bone marrow tracer dynamics relate to systemic inflammation, sleep quality, and cognitive performance in this clinical cohort.

neuroscience↗

bioRxiv2025

Timing the onset of homologous recombination deficiency before cancer diagnosis

Mutations in BRCA1 and BRCA2 genes, whether inherited or somatically acquired, cause homologous recombination deficiency (HRD) in tumor cells. The timing of HRD onset in the emerging tumor lineage is unknown. Here, we present HRDTimer, an algorithm to infer the onset of HRD-driven mutagenesis prior to cancer diagnosis. We estimate that HRD arises at 34% of SBS1-based molecular time---corresponding to a median of 8.3 years (IQR 7.1--10.4) prior to diagnosis in triple-negative breast cancers, and 15.0 years (IQR 12.0--20.6) in ER-positive breast cancers. Bulk sequencing reveals accelerated SBS1 accumulation following neoplastic transformation compared to normal tissue, influencing the estimated age of HRD onset. Single-cell duplex sequencing confirms SBS1 acceleration in tumors and further shows that non-tumor cells largely lack the HRD signature, indicating that HRD is rare in pre-malignant cells, even in BRCA1/2 mutation carriers. Together, our analysis pinpoints the onset of HRD before diagnosis, defining a window for detection and potential interception.

genomics↗

bioRxiv2025

Comprehensive benchmarking of somatic single-nucleotide variant and indel detection at ultra-low allele fractions using short- and long-read data

Mosaic mutations in normal tissues occur at low variant allele fractions (VAFs), complicating detection. To benchmark strategies, the SMaHT Network created a cell-line mixture (1:49) and produced ultra-deep whole-genome sequencing using short and long reads (five centers, 180-500x each). We assembled a reference of 44,008 mosaic SNVs and 2,059 Indels, cross-validation between platforms to expose limits of short-read analysis. We also partitioned the genome by mappability to examine the impact of genomic context, added a negative reference set, and accounted for culture-derived mutations. When seven institutions applied eleven algorithms to mixture data, call sets were largely discordant across tools and replicates, partly reflecting stochastic presence of low-VAF mutations in biological replicants. For >2% VAF SNVs, sensitivity and precision approached [~]80% at [≥]300x, with little gain from additional sequencing. This work provides a comprehensive framework for reliable detection of low-VAF mutations in non-cancer tissues and a valuable resource for the community.

bioinformatics↗

bioRxiv2025

Tissue specificity and chromosomal alterations shape divergent immune programs in HRD tumors

Homologous recombination deficiency (HRD) activates pro-inflammatory cGAS/STING signaling, positioning it as a biomarker for combining immune checkpoint blockade (ICB) and PARP inhibition (PARPi). However, the consequences of HRD on the immune landscape across cancers remain unclear. Here, we applied a pan-cancer HRD classifier to >10,000 tumors from The Cancer Genome Atlas and uncovered striking heterogeneity in immune activity. Compared to HR-proficient tumors, HRD tumors showed elevated inflammation in breast, ovarian, and endometrial cancers. These tumors exhibited robust activation of innate and adaptive immune pathways (IFN, NF-{kappa}B) and transcriptional hallmarks of senescence, angiogenesis, and adenosine signaling. In contrast, lung, head and neck, and melanoma HRD tumors displayed suppressed inflammation and evidence of immune escape through large-scale loss-of-heterozygosity (LOH) at IFNA/B, STING, and other loci. These tumors also frequently presented HLA LOH and oncogene amplifications, suggesting selection under immune pressure and replication stress. Together, our study resolves HRD tumors into two immune archetypes, immune-inflamed and immune-evasive, linked to chromosomal instability and lineage, informing biomarker-driven evaluation of immune checkpoint blockade/PARPi combinatorial therapies.

genomics↗

bioRxiv2025

Enterococcus faecalis delivers Obg GTPase via extracellular vesicles to instigate mTOR activity and promote HCC tumorigenesis

Hepatocellular carcinoma (HCC) is a malignant tumor that has been associated with dysbiosis of the gut microbiota. However, how the gut microbiota plays an oncogenic role in HCC remains largely unknown. Here, we show that Enterococcus faecalis (E. faecalis) is highly enriched in liver tumor tissues and is positively correlated with pathogenesis of HCC. E. faecalis promotes liver cancer cell proliferation, protein translation, cell migration and tumorigenesis. Mechanistically, we found that EF-derived extracellular vesicles (EF-EVs) deliver EF-Obg GTPase to activate host mTOR, thereby promoting liver cancer progression. Intriguingly, the EF-Obg protein exerts its influence on the mTOR pathway via a Ras-like G domain involved in GTP binding. EF-Obg exhibits a striking homology with the G1 site of the G domain of Rheb, a key positive regulator of mTOR. Obg gene is critical for E. faecalis to activate mTOR to promote hepatocarcinogenesis based on an engineered obg knockdown strain by CRISPR interference experiment. Clinically, abundant EF-Obg protein expression is correlated with enhanced activation of mTOR, leading to poor overall survival in HCC patients. Significantly, treatment of mTOR inhibitor Everolimus confers effectiveness in EF-colonized liver cancer orthotopic model, suggesting that Everolimus therapeutic approach can be effective for liver cancer patients with enriched E. faecalis. Taken together, we provide mechanistic and functional evidence to verify a direct causal relationship between tumor-resident E. faecalis enrichment and liver carcinogenesis, revealing that EF-Obg functions as a previously unidentified cross-kingdom activator of mTOR to promote liver tumorigenesis.

cell biology↗

bioRxiv2025

A recurrent sequencing artifact on Illumina sequencers with two-color fluorescent dye chemistry and its impact on somatic variant detection

BackgroundThe sequencing-by-synthesis technology by Illumina, Inc. enables efficient and scalable readouts of mutations from genomic data. To enhance sequencing speed and efficiency, Illumina has shifted from the four-color base calling chemistry of the HiSeq series to a two-color fluorescent dye chemistry in the NovaSeq series. Benchmarking sequencing artifacts due to biases in the newer chemistry is important to evaluate the quality of identified mutations. ResultsWe re-analyzed a series of whole-genome sequencing experiments in which the same samples were sequenced on the NovaSeq 6000 (two-color) and HiSeq X10 (four-color) platforms by independent groups. In several samples, we observed a higher frequency of T-to-G and A-to-C substitutions ("T>G") at the read level for NovaSeq 6000 versus HiSeq X10. As the per-base error rate is still low, the artifactual substitutions have a negligible effect in identifying germline or high variant allele frequency (VAF) somatic mutations. However, such errors can confound the detection of low-VAF somatic variants in high-depth sequencing samples, particularly in studies of mosaic mutations in normal tissues, where variants have low read support and are called without a matched normal. The artifactual T>G variant calls disproportionately occur at NT[TG] trinucleotides, and we leveraged this observation to bioinformatically reduce the T>G excess in somatic mutation callsets. ConclusionsWe identified a recurrent artifact specific to the Illumina two-color chemistry platform on the NovaSeq 6000 with the potential to contaminate low-VAF somatic mutation calls. Thus, an unexpected enrichment of T>G mutations in mosaicism studies warrants caution.

genomics↗

bioRxiv2025

ADAMTS3 as a promising novel biomarker for the diagnosis of hepatocellular carcinoma

Early diagnosis of hepatocellular carcinoma (HCC) still represents a significant challenge. The rising of obesity and non-viral liver disease associated HCC further limits the effectiveness of conventional screening approaches such as ultrasonography and alpha-fetoprotein (AFP) testing. In this context, the identification of potential effective biomarkers for rapid and precise diagnosis of HCC still represents an extremely important task. Here, we identify ADAMTS3 as a novel mechanistic serum biomarker for HCC that addresses this shifting etiological landscape. Transcriptome analysis of four independent cohorts-including HCC patients, individuals with obesity-or non-viral liver disease, and healthy controls- reveals four secreted proteins associated with HCC progression. Among them, ADAMTS3 demonstrates strong diagnostic performance by ROC (receiver operating characteristic) and LASSO (least absolute shrinkage and selection operator) analysis. High ADAMTS3 expression correlates with aggressive molecular signature, characterized by enhanced proliferative signaling, suppressed immune effector responses, and a reprogrammed immune microenvironment marked by reduced NK cell infiltration and increased accumulation of immunosuppressive tumor-associated macrophages, driven by extracellular matrix stiffening. Knockdown of ADAMTS3 in cell lines significantly reduced proliferation, and clonogenic potential. Reintroduction of ADAMTS3 partially rescued both phenotypes, further confirming its role in promoting HCC cell growth. Optical tweezer-based measurements further reveal reduced cell stiffness upon ADAMTS3 deficiency, highlighting its role in extracellular matrix (ECM) remodeling. Finally, to provide a simple strategy for HCC diagnosis based on this novel biomarker, we demonstrated a DNA origami-based SERS biosensor capable of detecting ADAMTS3 at 10-11 M. Together, these findings identify ADAMTS3 as a mechanistic biomarker and demonstrate a translational sensing strategy for non-invasive HCC early screening.

cancer biology↗

bioRxiv2025

An Interactive AI Agent for Adaptive Modeling of RNA Region-Ligand Interactions via LLM-Generated Machine Learning Workflows

Precise modeling of RNA-ligand interactions is essential for understanding RNA functionality and designing RNA-targeted therapeutics. Current computational approaches largely focus on predicting discrete binding sites, limiting their applicability to complex RNA regions that may harbor multiple or diffuse ligand binding motifs. Here, we present RLAgent, an interactive agent framework designed to predict ligand interactions at the RNA region level, enabling higher-resolution and more flexible modeling than conventional site-centric approaches. RLAgent reframes the RNA-ligand prediction workflow as a dialogue-driven process. Through a natural language interface, users can interactively configure modeling preferences without writing code. A locally hosted large language model (LLM) acts as the core orchestration agent, automating all key components of the modeling pipeline, including data validation, feature encoding, model training, evaluation, and visualization. This agent-based design lowers technical barriers and enhances reproducibility, making RNA-ligand prediction more accessible for both computational and experimental researchers.

bioinformatics↗

bioRxiv2025

Prokineticin-2 Upregulates GDNF in Astrocytes and Pharmacological Modulation of PK2 Receptors offers Neuroprotection in Experimental Models of Parkinson's Disease

Despite a wealth of preclinical studies establishing neuroprotective and neurorestorative properties of glial cell-line-derived neurotrophic factor (GDNF) in animal models of Parkinsons disease (PD), clinical trials utilizing direct intracranial infusion of GDNF protein, or adeno-associated virus (AAV)-mediated GDNF gene transfer has not achieved the desired efficacy, largely due to challenges in delivery methods. Given GDNFs strong potential for neuroprotection, alternative strategies to elevate its expression by beyond invasive injection or genetic manipulation remain a promising therapeutic avenue for PD. We previously reported that prokineticin signaling provides a compensatory protective response against dopaminergic neuronal degeneration in cell and animal models of PD. Herein, we report a novel finding that PK2 regulates GDNF gene expression in astrocytes, suggesting that PK2 signaling can be harnessed for neuroprotection in PD. Treatment of cultured astrocytes with the PK2 protein, PK2 gene overexpression or prokineticin receptor 1 (PKR1) agonist IS20 significantly induced the GDNF gene expression and the protein secretion, resulting in enhanced dopaminergic cell survival in cell culture models of PD. Importantly, systemic administration of IS20 through intraperitoneal or intranasal routes elevated GDNF levels in the mouse brain, including the nigrostriatal system. Furthermore, IS20 treatment conferred significant neuroprotective effects in both 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced and MitoPark transgenic mouse models of PD. Collectively, our translational findings suggest that pharmacological modulation PK2 signaling may unlock the full clinical benefit of GDNF, offering a novel and non-invasive therapeutic strategy for Parkinsons disease.

pharmacology and toxicology↗

bioRxiv2025

BBX transcription factor evolution in the green plant lineage

BBX transcription factors play versatile roles in integrating environment cues and regulating plant development. The model plant Arabidopsis continues to be a primary tool for the molecular investigation of protein function, but comprehensive evolutionary studies across different plant species can support translational research. Here, we constructed robust maximum likelihood phylogenies of full-length BBX proteins, the B-box domain, and the CCT domains by using diverse plant species ranging from algae to eudicots and monocots. Our analysis resolved five major structural groups (I-V) with BBXs from algae at the root of major clades. Our results suggest that Group II emerged after the split between Chlorophytes and Streptophytes. Our results also highlight subgroupings in the different BBXs clades. The evolution of the B-box domains showed a dynamic domain losses and acquisitions overall correlating with the BBX phylogeny. While the CCT domain was overall highly conserved across all groups, we identified secondary loss of the CCT domain in select lineages. We also detected significant expansions and contractions among angiosperm BBX orthogroups. Overall, the BBX family demonstrates ancient origins, structural plasticity via domain gain, loss and duplication, and lineage-specific innovations that underpin their diverse roles in light signaling, development and stress responses.

plant biology↗

bioRxiv2025

The inner nuclear membrane-associated protein Csa1 regulates lipid droplet biogenesis and nuclear shape in a Sir2-dependent manner

The nuclear envelope, a double-membrane structure consisting of the inner nuclear membrane (INM) and the outer nuclear membrane, encloses the nucleus. In response to cellular cues, lipid droplets are formed at the INM, which plays a key role in membrane homeostasis and energy storage. However, the signaling pathway that regulates the formation of nuclear lipid droplets remains to be elucidated. Here we show that in budding yeast, the INM-localized protein Csa1 regulates the nuclear localization of the acyltransferase Lro1, which converts diacylglycerol to triacylglycerol, leading to lipid droplet formation. Csa1 harbors a bipartite nuclear localization signal for nuclear sorting, along with an amphipathic helix that anchors it to the INM. Upon nutrient depletion and at the onset of meiosis, both Csa1 and Lro1 are enriched at a distinct INM subdomain that abuts the nucleolus, which we term the n-INM. We show that Csa1 is essential for targeting Lro1 to the n-INM region. In the absence of Csa1, Lro1 is dispersed along the nuclear periphery. The deacetylase activity of Sir2 is required for the n-INM enrichment of both Csa1 and Lro1. In the absence of either Csa1 or Sir2, lipid droplet formation is compromised. Our findings uncover an unexpected Sir2-dependent Csa1-Lro1 signaling pathway at the INM that regulates lipid droplet biogenesis and nuclear envelope remodeling.

cell biology↗

bioRxiv2025

LSH-mediated resolution of R-loops mitigates transcription-replication conflicts to preserve genomic stability in prostate cancer cells

Prostate cancer cells exhibit heightened transcriptional activity to sustain their aggressive phenotype, yet this creates DNA topological stress, leading to RNA: DNA hybrids (R-loops) and DNA damage that compromise genomic stability. LSH, an SNF2-family chromatin remodeler, is frequently dysregulated in cancers and linked to tumor progression, but its mechanistic role in genome maintenance remains unclear. Here, we demonstrate that LSH resolves R-loops in an ATP-dependent manner, mitigating transcription- replication (TR) conflicts in prostate cancer cells. LSH depletion caused R- loop accumulation due to reduced FANCD2 recruitment, exacerbating DNA damage and impairing Rad51 filament formation. Strikingly, LSH deficiency also increased R-loops at promoters of MYC and E2F target genes, stalling RNA polymerase II elongation and disrupting transcriptional programs critical for proliferation. Our findings reveal LSH is a key guardian of genome integrity, resolving R-loops to prevent TR conflicts and maintaining DNA repair fidelity. By linking LSH to R-loop resolution and transcriptional regulation, this study reveals its dual role in prostate cancer pathogenesis-- supporting malignant proliferation while safeguarding genomic stability. These insights nominate LSH as a potential therapeutic target to disrupt oncogenic transcription and induce synthetic lethality in prostate cancer.

cancer biology↗

bioRxiv2025

Memo-Patho: Bridging Local-Global Transmembrane Protein Contexts with Contrastive Pretraining for Alignment-Free Pathogenicity Prediction

Understanding the pathogenic impact of protein mutations remains a fundamental challenge in genomic medicine, particularly for transmembrane proteins (TMPs), a functionally critical yet structurally under-annotated class that includes numerous drug targets. Current variant effect predictors often fall short in this domain due to computational burdens, reliance on multiple sequence alignments (MSAs), and limited ability to generalize to TMP-specific constraints. Here we present Memo-Patho, an alignment-free deep learning framework specifically optimized for TMP mutation pathogenicity prediction. Memo-Patho integrates global and local representations from protein language models (PLMs) and predicted structural features. Furthermore, it introduces a contrastive pre-training strategy that learns discriminative features by comparing benign and pathogenic mutations within the same protein backbone. This design enables the model to capture functional disruptions in challenging contexts without structural or evolutionary alignments. Memo-Patho outperforms state-of-the-art predictors on two types of TMP benchmark datasets (accuracy up to 0.93) and unseen-protein generalization tasks, showing strong agreement with evolutionary conservation profiles. Its predictions are further validated on a manually curated KCNQ1 dataset of 55 ion channel variants, achieving an accuracy of 0.84 and outperforming existing tools. The model also supports high-throughput scanning, efficiently analyzing over 15000 variants in under 80 minutes. Our results establish Memo-Patho as a fast, generalizable, and biologically grounded approach for variant effect prediction in TMPs. Its alignment-free design, contrastive learning paradigm, and clinical robustness mark a step forward towards scalable interpretation of TMP variation for both basic research and precision medicine applications.

bioinformatics↗

bioRxiv2025

Disentangling complex language contact and admixture in the broad Gansu-Qinghai region

Language evolution in the Gansu-Qinghai (GQ) region provides a key perspective for understanding cultural development along the Silk Road. Previous genetic and archaeological studies revealed complex multiethnic interactions shaped by migration and sociocultural exchange. However, the lack of structured linguistic data and computational tools for studying language contact has limited rigorous analysis of sociocultural evolution in this area. Here, we presented a new hybrid dataset of phonological and morpho-syntactic features from languages sampled across the GQ region. We introduced a computational framework to assess language contact and admixture, allowing us to quantify interaction among GQ languages and trace their origins. Our results showed that GQ languages have distinct contact patterns in their phonological and morphosyntactic systems, with some languages exhibiting clear evidence of mixture. Using a new statistical method, Trait Sharing Test (TS-TEST), based on tree topology, we identified significant influences from Sinitic, Tibetan, Mongolic, and Turkic languages in shaping GQ linguistic diversity. These findings highlight the GQ region as a linguistic convergence zone on the Silk Road and provide a foundation for quantitative research on language contact and admixture. Our work strengthens the linguistic perspective on cultural evolution in the GQ region and supports future interdisciplinary studies integrating languages, genes, and material cultures.

evolutionary biology↗

bioRxiv2025

Periventricular Diffusivity Reflects APOE4-modulated Amyloid Accumulation and Cognitive Impairment in Alzheimers Continuum

BackgroundAltered glymphatic-related fluid dynamics are increasingly recognized as a key feature of Alzheimers disease (AD). We generalized an established diffusion imaging technique to estimate periventricular diffusivity (PVeD), hypothesizing that fast diffusion signals in the periventricular region can reflect amyloid-beta (A{beta}) deposition across the Alzheimers continuum. MethodsParticipants from two multi-site cohorts (n = 440 and 414), comprising cognitively unimpaired individuals, those with mild cognitive impairment, and patients with AD, were included. We tested and validated the association of PVeD with A{beta} burden and core AD characteristics. ResultsLower PVeD was extensively associated with greater A{beta} burden, neurodegeneration, cognitive impairment, and clinical severity. Importantly, the relationship between PVeD and A{beta} burden was significantly modulated by APOE4 status, with APOE4 carriers showing a stronger negative association. Baseline PVeD also predicted longitudinal cognitive decline. DiscussionThese findings suggest that periventricular fast diffusion signals can reflect APOE4-modulated A{beta} burden and cognitive decline in AD. Research-in-ContextO_ST_ABSSystematic reviewC_ST_ABSA comprehensive PubMed literature search indicates that fluid movement related to glymphatic activity assessed by diffusion tensor image analysis along the perivascular space (DTI-ALPS) is associated with amyloid-beta deposition in Alzheimers disease (AD). However, recent evidence underscores certain limitations of DTI-ALPS, suggesting that it may not fully capture the diffusion processes involved in amyloid clearance. Moreover, no previous studies have investigated the role of APOE4 in modulating the relationship between glymphatic-related fast diffusion signals and amyloid-beta deposition. InterpretationThe transverse diffusion process along the perivenous space in the periventricular region appears to reflect glymphatic-related dysfunction manifested by amyloid-beta deposition. Reduced periventricular diffusivity is associated with greater amyloid burden across the AD continuum. This association is notably enhanced in APOE4 carriers, who exhibit higher amyloid accumulation for a given reduction in the periventricular diffusivity. Besides, periventricular diffusivity is related to other pathological markers of AD, including clinical symptom severity and neurodegeneration, and may also predict subsequent cognitive decline. Future directionsAlthough diffusion-based neuroimaging metrics hold promise as surrogate imaging biomarkers for glymphatic-related activity, they do not comprehensively capture the complex fluid dynamics such as convective bulk flow within the glymphatic system. By leveraging multimodal neuroimaging techniques and advanced analytic approaches, future research can refine these metrics into more sensitive, non-invasive tools capable of evaluating fluid dynamics related to glymphatic dysfunction in AD.

neuroscience↗

bioRxiv2025

Chromosome-Specific Aneuploidy Engineering via dCas9-Induced Centromeric Chromatin Relaxation

Aneuploidy, the gain or loss of chromosomes, is prevalent in both normal and disease conditions, however, experimental approaches to engineer and study aneuploidy remain limited, leaving its functional significance under-characterized. Here, we present CRISPR-Taiji (CRISPRt), an efficient method for inducing chromosome-specific mis-segregation and aneuploidy generation across all 24 human chromosomes via dead Cas9 (dCas9)-induced centromeric chromatin relaxation. Using CRISPRt with scRNA-seq, we generated the first comprehensive transcriptomic alteration landscape of nearly all autosomal aneuploidies at chromosome-arm resolution. This genotype-phenotype map provides causal evidence linking recurrent aneuploidies in clear cell renal cell carcinoma (ccRCC) to molecular and clinical phenotypes observed in patient tumors. Notably, chromosome 3(p) loss, the ccRCC initiating event, specifically drives strong interferon signaling activation, offering novel insights into ccRCC tumorigenesis and immune modulation. Overall, we establish CRISPRt as a simple, efficient and scalable approach for chromosome-specific aneuploidy engineering and characterization in preclinical models to advance aneuploidy research across diverse biological contexts.

genomics↗