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Biology subjects

Zhao, Y.

Publications and source records attributed to Zhao, Y..

At least 235 records · Page 13Linked to original sources

Genome writing to dissect consequences of SVA retrotransposon disease X-Linked Dystonia Parkinsonism

Human retrotransposon insertions are often associated with diseases. In the case of the neurodegenerative X-Linked Dystonia-Parkinsonism disease, a human-specific SINE-VNTR-Alu subfamily F retrotransposon was inserted in intron 32 of the TAF1 gene. Here, we genomically rewrote a portion of the mouse Taf1 allele with the corresponding 78-kb XDP patient derived TAF1 allele. In mESCs, the presence of the intronic SVAs--rather than the hybrid gene structure--reduces hyTAF1 levels. This leads to transcriptional downregulation of genes with TATA box enriched in their promoters and triggering apoptosis. Chromatin and transcriptome profiling revealed that intronic SVAs are actively transcribed, forming barriers that likely impede transcription elongation. In mice, neuronal lineage TAF1 humanization resulted lethality of male progeny within two months. XDP male mice had severe atrophy centered on the striatum--the same affected brain region in XDP patients. Lastly, CRISPRa-mediated activation of hyTAF1 restored mESC viability, suggesting boosting TAF1 transcription as a therapeutic approach.

genetics↗

Myelin pathology is a key feature of X-linked Dystonia Parkinsonism

X-linked Dystonia-Parkinsonism (XDP) is a progressive, adult-onset neurodegenerative movement disorder that predominantly affects males of Filipino descent1-3. The disease is caused by the insertion of a SINE-VNTR-Alu subfamily F (SVA_F) retrotransposon within an intron of the TATA-box binding protein-associated factor 1 (TAF1) gene4. A major barrier to understanding the pathophysiology of XDP has been the lack of relevant animal models. Here, we introduce a novel conditional humanized XDP mouse model harboring a hybrid mouse-human Taf1/TAF1 gene (hyTAF1) containing the pathogenic SVA_F insertion. We activated the hyTAF1 in Nestin+ neural progenitor cells and found that the resulting XDP male mice recapitulate features of the human disease including severe motor impairment, striatal atrophy, and reactive gliosis. Transcriptomic, histological, and electron microscopy analysis revealed a dramatic reduction in oligodendrocyte lineage cells and widespread myelin disruption. Consistent with these findings, postmortem brain tissue from XDP patients revealed similar myelin pathology, including near-complete loss of myelin in parts of the medial prefrontal cortex. Together, these results identify oligodendrocyte dysfunction and myelin loss as previously unrecognized contributors to XDP pathogenesis, providing new mechanistic insight into this debilitating disorder.

neuroscience↗

Diel rhythms shape viral community structure and activity across the host domains of life

Circadian rhythms, driven by endogenous clocks and synchronized with environmental cues, are fundamental to life on Earth. While extensively studied in diverse organisms, their influence on viral ecology remains largely unexplored. This study takes the temporal dynamics of viruses in Daya Bay as an example to uncover the rhythmic control of viral replication and activity. Using a high-resolution time-series dataset collected every 2 hours over a 3-day period, we identified a total of 22,151 viral operational taxonomic units (vOTUs) and 414 Nucleocytoplasmic Large DNA Virus (NCLDV) genomes. Our analysis revealed significant diel fluctuations, with 14.48% of vOTUs exhibiting diel patterns in metagenomic abundance and 1.97% showing diel transcriptional activity. We found that these abundant diel viruses infect hosts across the domains of life, including cyanobacteria, pelagibacteria, Marine Group II (MGII) archaea and protists, all known for their diel metabolism. The expanded spectrum of host diversity with diel viral interactions significantly broadens our understanding of virus-host rhythmic dynamics in natural environmental settings. A strong positive correlation was detected between the transcriptional activities of these diel viruses and their respective hosts. Contrary to bacteriophages, which mostly peaked during the day, we demonstrated that NCLDVs showed nocturnal diel abundance with a co-fluctuating diel transcriptomic activity pattern tightly hitched to their hosts, peaking at night and declining during the day. Furthermore, we identified a rich compendium of viral genes with significant diel expression patterns, including those related to structural protein production, DNA replication, and stress response. Notably, several essential viral genes involved in stress response and repair were found to be diel transcribed for the first time, including UV-endonuclease (UvdE), peroxidase, chaperones, and early light-induced protein (ELIP). Our findings suggest that viruses across host domains actively synchronize with environmental cues to optimize their replication and transmission, despite their dependence on host metabolism. This study provides novel insights into the rhythmic control of viral communities and their intricate interactions with hosts, with profound implications for microbial community succession and biogeochemical cycles.

ecology↗

The past and potential antagonistic effects of fishing ban against nutrient loading control on eutrophication restoration in Lake Hongze

Integrated management strategies are often implemented to achieve comprehensive environmental restoration; however, the potential antagonistic effects among such measures are seldom examined. Fishing bans, aimed at enhancing fish biodiversity, may counteract the effectiveness of nutrient control measures in mitigating eutrophication. This study employs the PCLake model and structural equation modeling (SEM) to evaluate this hypothesis in Lake Hongze, the fourth largest shallow lake in China. The PCLake model was calibrated using observational data from Lake Hongze collected between 2016 and 2020. The calibrated model was subsequently applied in a hindcast analysis from 2020 to 2024 and a forecast simulation from 2025 to 2030 to assess the impacts of fishing bans. Combined with SEM path analysis, the results support the hypothesis that fishing bans can exhibit antagonistic effects on nutrient loading control by enhancing top-down regulation relative to bottom-up processes. Specifically, the fishing ban led to increased fish biomass, phytoplankton abundance, and nutrient levels over the past four years, while reducing the abundance of submerged macrophytes, zoobenthos, and zooplankton. Projections further indicate that such antagonistic effects would persist through 2030 if the fishing ban remains in place as planned. Additionally, model forecasts suggest that even with adjustments to the duration and intensity of fishing bans, antagonistic effects could be amplified under more stringent nutrient control scenarios. This study provides valuable insights into maximizing the net benefits of combined environmental management strategies through a systematic framework that evaluates both the effects and underlying processes of different interventions.

ecology↗

Global Mapping of Combinatorial Chromatin Regulatory Events Using Hi-Plex CUT&Tag

Epigenetic modulators, transcription factors, and chromatin-associated proteins collaboratively regulate essential genomic functions, such as transcription, repression, and DNA damage repair. However, the intricate cross-talk or the interaction between these chromatin regulatory factors (CRFs) remains poorly understood, largely due to limitations in experimental methods, which traditionally interrogate the genomic locations of only one CRF. Although the latest methods can study multiple CRFs simultaneously, they cannot examine the interaction between these factors. Inferring biological interactions often requires integrating data from multiple experiments, which can be labor-intensive and imprecise since the measurement is not from the same DNA molecule. To address these challenges, we developed Hi-Plex CUT&Tag, an advanced technology that enables the robust detection of co-localization events across over 600 pairs of CRFs using 36 barcoded monoclonal antibodies (mAbs), while minimizing background signals and cross-contamination. Hi-Plex CUT&Tag facilitates comprehensive pairwise analysis of epigenetic modifiers, including histone post-translational modifications (PTMs), writers, and transcription factors (TFs). Each Tn5 tagmentation fragment provides detailed insights, capturing the identities of two co-localized events, the underlying genomic sequences, and the molecular distance between them. For the first time, numerous novel bivalent events, epigenetic-context-dependent transcriptional regulation, and specific chromatin mark combinations with significant impacts on gene regulation can be detected in a single experiment. Furthermore, single-cell Hi-Plex CUT&Tag enables the analysis of synergistic interactions between CRF pairs at the single-cell level, providing unprecedented resolution for studying chromatin dynamics.

genetics↗

NQO1 phase condensation promotes stress granule assembly to facilitate pancreatic carcinogenesis

G3BP1 promotes pancreatic ductal adenocarcinoma (PDAC) tumorigenesis driven by oncogenic KRAS mutations through liquid-liquid phase separation (LLPS)-mediated assembly of stress granules (SGs). However, the regulatory mechanisms remain elusive. We identify the antioxidant enzyme NAD(P)H quinone dehydrogenase 1 (NQO1) as a novel SG regulator that enhances SG assembly in pancreatic cancer cells independently of reactive oxygen species (ROS). Mechanistic studies reveal that NQO1 does not regulate the expression of G3BP1 or other SG-associated genes. Instead, NQO1 undergoes LLPS dependent on its RNA-binding K homology (KH) like domain. Further analysis demonstrates that residues 121-131 of NQO1 directly interact with G3BP1s RNA-binding domain (RBD), enhancing the multivalency of G3BP1 complexes to potentiate LLPS-driven SG assembly. This interaction accelerates cell proliferation, KRAS mutation-induced acinar-to-ductal metaplasia (ADM), and pancreatic carcinogenesis. Notably, the interaction between NQO1 residues 121-131 and G3BP1s RBD is essential for NQO1 phase condensation under stress condition. Integrative analysis of human PDAC transcriptomic datasets reveals a weak association between NQO1 and G3BP1 levels. Importantly, both NQO1 and G3BP1 formed biological condensates and co-localized in the lesions of human PDAC tissue sections. Our study uncovers a novel KRAS mutation-driven mechanism of pancreatic carcinogenesis through the lens of phase separation, transcending conventional gene expression regulation and offering new insights into non-canonical KRAS-NQO1-G3BP1-SG regulatory networks in PDAC initiation.

cancer biology↗

Dendritic Interaction of Timescales in Afterdepolarization Potentials and Nonmonotonic Spike--adding

Depolarizations that occur after action potentials, known as afterdepolarization potentials or ADPs, are important for neuronal excitability and stimulus evoked transient bursting. Slow inward and fast outward currents underlie the generation of such ADPs with modulation of ADP amplitudes occurring as a result of neuronal morphology. However, the relative contribution and role of these slow inward and fast outward currents in ADP generation is poorly understood in the context of somatic and dendritic localization as well as with varied dendritic properties. Using a two compartmental Hodgkin-Huxley type model, the role of somatic and dendritic compartmentalization of ADP associated currents is investigated, revealing that dendritic (rather than somatic) slow inward and fast outward currents are the main contributors to ADP and spike-adding during both brief step current and AMPA current input. Additionally, dendritic size and passive properties of the dendrites were found to be key modulators of ADP amplitude. However, increasing magnitudes of NMDA current conductance resulted in nonmonotonic spike-adding in a manner dependent on dendritic Ca2+ influx and Ca2+ activated K+ currents, which was found to be the result of tight regulation of stimulus evoked transient bursting through positive feedback on action potential generation by dendritic Ca2+ and subsequent negative feedback through Ca2+ activated K+ currents. This novel mechanism of ADP and spike-adding regulation highlights the role of currents with slow timescales in ADPs, stimulus evoked bursting and neuronal excitability with implications for Ca2+ dependent synaptic plasticity and neuromodulation.

neuroscience↗

Adverse Effects of UV-Exposure on DNA Strand Displacement Reactions

DNA strand displacement (DSD) reactions are widely used in molecular computing and nanotechnology due to their programmability and precise control over molecular interactions. However, experimental DSD systems often underperform relative to theoretical models, due in part to poorly characterized sources of reactant impurities. Here, we identify UV-shadowing (a standard technique for visualizing DNA during PAGE purification) as a previously overlooked cause of DSD circuit errors. Counterintuitively, existing purification protocols with UV-shadowing can increase impurities that disrupt circuit behavior. Specifically, we demonstrate that UV exposure (i) reduces DSD reaction percent yield and (ii) leads to a phenomenon we call "negative leak," where high-concentration double-stranded complexes that are designed to be inert can sequester functional signal strands and thus disrupt circuit performance. Additionally, we find that UV damage is sequence-dependent, with adjacent pyrimidine-pair-rich strands being more susceptible to errors. To circumvent these errors, we introduce a simple and practical purification protocol that avoids UV exposure, and show that the errors no longer occur. Our results highlight UV-induced damage as a critical factor in DSD circuit performance, and suggest that UV-shadowing may have contributed to significant reproducibility and scaling challenges in the broader DSD literature.

synthetic biology↗

Exploring the potential for scanning electron microscopy/focused ion beam - based diffraction for screening cryo-transmission electron microscopy samples

The study of biological and organic materials at high resolution using cryogenic transmission-electron microscopy (cryo-TEM) necessitates vitrification to preserve the native structure. Assessing sample integrity is essential, particularly as ice crystallization during freezing and handling can cause irrecoverable structural damage. Usually, a secondary cryo-TEM is used for initial screening, only possible after a time-consuming sample preparation workflow. In the present work, we propose simple methods that exploit existing workflows developed for materials science analyses and demonstrate on-grid in situ assessment of ice crystallinity with electron backscatter diffraction (EBSD) on a direct electron detector (DED) in a cryo-scanning-electron microscope (SEM). This evaluation step can be performed prior to sample preparation for cryo-TEM by using cryogenic focused ion beam (cryo-FIB) milling. Custom grid holders and jigs were developed to integrate the clipped cryo-TEM grids and evolve the sample preparation workflow. EBSD detects hexagonal ice in some areas of the samples, whereas other areas show an absence of EBSD signal, consistent with vitreous ice, that enable targeting the further steps of sample preparation for cryo-TEM. Off-axis transmission Kikuchi diffraction (TKD) was attempted, but led to severe damage to polished TEM-lamellae and appears unsuitable. A proof-of-concept lift-out from a clipped cryo-TEM grid mounted on a support is introduced, demonstrating possibilities for expanded cryogenic correlative workflows beyond the acceleration of sample screening for cryo-TEM.

molecular biology↗

Myasthenia thymus reprograms class switched B cells into BAFF dependent survivors

Myasthenia gravis (MG) presents a clinical challenge where autoantibody titers against the neuromuscular junction fail to predict disease severity or treatment response, and thymectomy provides inconsistent benefit despite removing the source of autoreactive B cells. We hypothesized that thymic B cells acquire survival mechanisms that bypass normal tolerance checkpoints, enabling persistence independent of antigen-specific selection. Using single-cell RNA sequencing, V(D)J repertoire analysis, and spatial transcriptomics from human thymic samples, representing the largest MG atlas to date (237,661 cells), we discovered a previously unrecognized tolerance checkpoint swap in MG pathogenesis. Pathological class-switched B cells within thymic germinal centers exhibited reduced antigen presentation capacity (decreased CD74, CD1C expression) and diminished CD40 co-stimulation while upregulating TNFRSF17 to engage BAFF survival signals. This shift from T cell-dependent activation to BAFF-driven survival allowed polyclonal autoreactive B cells to persist without stringent selection and seed peripheral sites. T follicular helper cells supported this reprogramming through increased TNFSF13B and CHGB expression, the latter enabling dopamine-mediated acceleration of B cell synapses. These findings resolve longstanding clinical paradoxes in MG and identify the BAFF-BCMA axis as an actionable therapeutic target. Measuring serum BAFF and soluble BCMA could provide superior biomarkers to antibody titers, while BAFF inhibition or CD40 agonism could restore normal tolerance checkpoints, offering new therapeutic strategies for MG and potentially other autoimmune diseases. One Sentence SummaryMyasthenia gravis is characterized by a tolerance checkpoint swap where pathological B cells shift from requiring T cell help and antigen-specific selection to depending on BAFF for survival.

genomics↗

Re-evaluating the Impact of Biological Sex on Atherosclerosis in Apoe-/- and Ldlr-/- mice

BACKGROUNDThe progression of cardiovascular disease shows significant sexual dimorphism: although females generally develop the disease later in life, they exhibit a higher age-related incidence than males. Despite this clinical pattern, preclinical studies often overlook both sexes in their design, and existing research on sex-specific atherosclerosis in mice remains inconsistent. This study was designed to assess the influence of sex on atherosclerosis using two widely used atherosusceptible mouse models--Apoe-/- and Ldlr-/- mice. METHODSTo investigate the influence of sex on atherogenesis, we conducted a 20-week study using both male and female Apoe-/- and Ldlr-/- mice. The mice were fed an atherogenic ALMN diet (40% trans-fat, 2% cholesterol, 22% fructose) to promote plaque development. We performed comprehensive analyses of: (1) systemic metabolic parameters (lipid profile, glucose metabolism); (2) atherosclerotic burden (en face and aortic sinus plaque area); and (3) plaque composition (necrotic core size, collagen content, macrophage infiltration). RESULTSIn both models, male mice showed higher lipid levels, worse glucose tolerance, and reduced insulin sensitivity compared to females. Apoe-/- mice showed minimal sex differences in atherosclerosis with a trend toward increased plaque size in females. Plaque stability markers-- including collagen content, necrotic core size, and macrophage infiltration--did not differ significantly between sexes. In contrast, Ldlr-/- males exhibited greater en face plaque burden than females, yet plaque stability remained similar across sexes. CONCLUSIONComparative analysis of two widely used murine atherosclerosis models revealed genotype-dependent sexual dimorphism. Female Apoe-/- mice showed a non-significant trend toward larger plaque areas than males, whereas male Ldlr-/- mice developed significantly larger en face atherosclerotic plaques than females. By evaluating plaque area and composition across these models, our findings underscore the importance of including both sexes in atherosclerosis studies, in accordance with guidelines from the National Institutes of Health and the American Heart Association.

cell biology↗

YeastSAM: A Deep Learning Model for Accurate Segmentation of Budding Yeast Cells

An essential step for quantitative image analysis is cell segmentation, which is the process of defining the outline of individual cells in microscopy images. Segmentation of budding yeast is challenging due to their asymmetric cell division and mother-bud morphology. As a result, a dividing cell is frequently misidentified as two separate cells, causing errors in downstream analysis. Here, we overcame this challenge by developing YeastSAM, a deep learning-based segmentation framework derived from {micro}SAM and optimized for budding yeast. YeastSAM achieves more than threefold higher accuracy in segmenting dividing cells compared to existing methods. When combined with single-molecule RNA imaging and organelle imaging, YeastSAM facilitates quantitative analysis of the spatial regulation of gene expression. This study offers an accessible, high-accuracy model for yeast cell segmentation, empowering researchers with minimal programming experience to perform quantitative image analysis.

cell biology↗

Yorzoi: Predicting RNA-seq coverage from DNA sequence in yeast

Yeast is one of the principal model organisms in synthetic biology and a widely used chassis for testing heterologous DNA sequences. However, designing DNA constructs correctly is currently limited by our incomplete quantitative understanding of how sequences are transcribed and translated, especially non-native sequences. Here, we present Yorzoi, a sequence-to-expression model for bakers yeast that predicts RNA-seq coverage for a 5 kilobase, multi-gene window of DNA at 10 base pair (bp) resolution. To extend its predictive ability beyond native DNA, Yorzoi has been pretrained on a comprehensive dataset not only including native yeast sequences but also human sequences expressed in yeast and structurally rearranged synthetic yeast chromosomes. We demonstrate that our model has learned general rules of yeast transcription by achieving high predictive performance on various downstream tasks. Yorzoi is a powerful tool for in-silico testing of DNA sequences and directly applicable for sequence design. A web application to use our model is available at yorzoi.eu and the code open source on GitHub.

synthetic biology↗

KM-GPT: An Automated Pipeline for Reconstructing Individual Patient Data from Kaplan-Meier Plots

Reconstructing individual patient data (IPD) from Kaplan-Meier (KM) plots provides valuable insights for evidence synthesis in clinical research. However, existing approaches often rely on manual digitization, which is error-prone and lacks scalability. To address these limitations, we develop KM-GPT, the first fully automated, AI-powered pipeline for reconstructing IPD directly from KM plots with high accuracy, robustness, and reproducibility. KM-GPT integrates advanced image preprocessing, multi-modal reasoning powered by GPT-5, and iterative reconstruction algorithms to generate high-quality IPD without manual input or intervention. Its hybrid reasoning architecture automates the conversion of unstructured information into structured data flows and validates data extraction from complex KM plots. To improve accessibility, KM-GPT is equipped with a user-friendly web interface and an integrated AI assistant, enabling researchers to reconstruct IPD without requiring programming expertise. KM-GPT was rigorously evaluated on synthetic and real-world datasets, consistently demonstrating superior accuracy. To illustrate its utility, we applied KM-GPT to a meta-analysis of gastric cancer immunotherapy trials, reconstructing IPD to facilitate evidence synthesis and biomarker-based subgroup analyses. By automating traditionally manual processes and providing a scalable, web-based solution, KM-GPT transforms clinical research by leveraging reconstructed IPD to enable more informed downstream analyses, supporting evidence-based decision-making.

bioinformatics↗

Tumors mimic the niche to inhibit neighboring stem cell differentiation

Although it is well-established that stem cells maintain tissue homeostasis while tumors disrupt it, the mechanisms by which tumors influence the development of nearby stem cells remain poorly understood. Using Drosophila ovaries as a model system, here we discovered that bam or bgcn mutant germline tumors inhibit the differentiation of neighboring wild-type germline stem cells (GSCs). Mechanistically, these tumor cells mimic the stem cell niche by secreting the BMP ligands Dpp and Gbb, but at reduced levels, resulting in moderate BMP signaling activation in adjacent GSCs. Such BMP signaling activation is sufficient to repress bam transcription, thereby blocking GSC differentiation. To our knowledge, this is the first example that tumors can functionally mimic a stem cell niche to inhibit the differentiation of neighboring wild-type stem cells. Similar regulatory paradigms may operate in mammalian tissues, including humans, during tumorigenesis.

developmental biology↗

Metabolic response of Brevibacterium epidermidis TRM83610 to NaCl stress and ectoine fermentation optimization

To elucidate the metabolic response of Brevibacterium epidermidis TRM83610 to NaCl stress and facilitate its industrial application, this study employed metabolomics techniques to analyze changes in intracellular metabolites, particularly compatible solutes, under NaCl concentrations of 0, 5%, 10%, and 15%. The ectoine production capacity was further evaluated and optimized using response surface methodology. Results indicated significant metabolic differences among sample groups, with detection of various secondary metabolites associated with antimicrobial activity and plant growth promotion. Six compatible solutes dominated by ectoine were identified. The metabolic response strategies to NaCl stress included osmostress resistance, oxidative stress resistance, and survival competition strategies. Through response surface optimization, ectoine yield reached 440.60 mg/L, representing a 6.22-fold increase over the initial yield of 70.75 mg/L, demonstrating substantial application potential for this strain. This research enriches our understanding of the metabolic profile of B. epidermidis TRM83610, preliminarily reveals its metabolic responses to NaCl stress, and provides a foundational basis for its further development and utilization. IMPORTANCEOur study reports, for the first time, the detection of N{varepsilon}-Acetyl-L-lysine in Brevibacterium epidermidis and the identification of Azetidomonamide A in a microorganism outside of Pseudomonas aeruginosa. It also represents the first elucidation of this strains metabolic response to NaCl stress. This research demonstrates the significant application and research value of B. epidermidis TRM 83610 and reveals that its strategy for coping with NaCl stress is multifaceted. This includes employing multi-pathway synergy to regulate multiple compatible solutes for osmostress resistance, producing antioxidant compounds for oxidative stress resistance, and secreting antimicrobial compounds as part of a survival competition strategy.

microbiology↗

Disease-specific tau polymorphs define unique protein interaction networks across proteinopathies

Tau protein aggregates exhibit distinct conformations across tauopathies, but their disease-specific protein interactions remain poorly understood. Here, we demonstrate that disease-specific tau conformations determine unique protein interaction landscapes across Alzheimers disease (AD), progressive supranuclear palsy (PSP), and dementia with Lewy bodies (DLB). Through comprehensive interactome profiling of misfolded tau aggregates from PBS- and sarkosyl-soluble fractions. We identified 493 high-confidence proteins with remarkable disease specificity--notably, no common interactors overlapping across all three tauopathies. Machine learning classification achieved compelling discrimination between diseases using as few as 4-6 proteins features, demonstrating robust molecular signatures underlying clinical heterogeneity. AD derived tau aggregates uniquely engaged cellular metabolism machinery, including key glycolytic enzymes and TCA cycle proteins, alongside glutamate/GABA neurotransmitter cycling components, with the astrocytic glutamate transporter SLC1A2 showing 27-fold enrichment over other tauopathies. In contrast, PSP tau displayed the most distinctive profile, with extensive protein depletion (52/57 significant proteins) and selective enrichment of proteasome components, particularly PSMB7 showing >3000-fold abundance. DLB tau is associated with neurogenesis modulators while depleting neuroinflammatory mediators. These interaction patterns were validated through proximity ligation assays and correlated with distinct post-translational modification profiles, with PSP tau exhibiting globally elevated ubiquitination, AD showing mixed modification patterns, and DLB displaying minimal ubiquitination. Critically, sarkosyl-soluble fractions revealed reduced interactome complexity across diseases, except for PSP tau which maintained robust interactions with GPCR-ERK signaling and kinetochore proteins, suggesting unique aggregation mechanisms. Our findings establish that conformationally distinct tau strains dictate disease-specific protein interaction networks, providing molecular insight into tauopathy diversity and identifying novel therapeutic targets for precision medicine approaches in neurodegeneration.

neuroscience↗

Interactions Between Dietary Metabolites and Regulatory Risk Variants for Human Colon Cancer

Interactions between genetic variants and environmental factors influence malignancy risk, including for colorectal cancer (CRC). Prevalent CRC susceptibility loci reside predominantly in noncoding regulatory DNA where they may interact with dietary influences to dysregulate expression of specific genes predisposing to neoplasia. The impacts of CRC protective and risk dietary metabolites, butyrate and deoxycholic acid, were thus studied on the transcription-directing activity of 3703 regulatory CRC-associated variants via massively parallel reporter assays (MPRA) in human colonic cells. 1595 variant-dietary metabolite interactions were identified, pointing to dysregulation of MED13L, NKD2, and several modulators of Wnt/{beta}-catenin signaling in potential CRC gene-environment interactions (GxE). Opposing impacts of butyrate and deoxycholic acid were also uncovered, indicating dietary influences may converge on common CRC risk loci and nominating FOSL1 and SP1 as mediators of these opposing responses. Coupling MPRA to relevant environmental factors offers an approach to extend insight into GxE in common human cancers.

genomics↗