'; ?> geneimprint : Hot off the Press http://www.geneimprint.com/site/hot-off-the-press Daily listing of the most recent articles in epigenetics and imprinting, collected from the PubMed database. en-us Mon, 13 Oct 2025 17:44:27 EDT Mon, 13 Oct 2025 17:44:27 EDT jirtle@radonc.duke.edu james001@jirtle.com 3D Biomechanics and Epigenomics Reveal Atypical Fibroblast Responses in Cardiometabolic Disease. Ibrahim SY, Holdiness R, Thadisena A, Boyle KE, Jun SR, Bagchi RA
Am J Physiol Heart Circ Physiol (Oct 2025)

Cell behavior is influenced by substrate stiffness and cell-cell and cell-environment interactions. The limitations of two-dimensional (2D) culture, such as its inability to fully capture the complexity of cell interactions and tissue structure, highlights the necessity of three-dimensional (3D) cell culture. This explicitly applies to 'disease modeling in a dish' platforms for translational studies. 3D bioprinting demonstrates significant potential in recapitulating the intricate physiological environments of human tissues in both healthy and pathological states. With the alarming rise in obesity, addressing systemic pathophysiological dysfunction beyond adipose tissue itself, such as the heart, is inevitable. To capture cellular and tissue-level responses to overnutrition, we employed state-of-the-art 3D bioprinting technology to understand the acute response of 3D matrix-embedded human cardiac fibroblasts (HCFs) to a 'high-fat diet' mimic. Chromatin accessibility profiling revealed that excess fatty acid (FA) exposure in 2D induces a non-canonical extracellular matrix (ECM) gene program that is minimally expressed in healthy adult myocardium. In contrast, 3D cultures exhibited reduced fibroblast proliferation and blunted transcriptional responses to the impact of biomechanical cues under metabolic stress, reflecting a more quiescent and physiologically relevant phenotype. Furthermore, we incorporated human induced pluripotent stem cell-derived cardiac fibroblasts (iPSC-CFs), which mirrored key transcriptional changes, including sex-dependent gene regulation. Notably, male iPSC-CFs showed stronger fibrotic gene induction than females, reinforcing the need to account for biological sex in disease modeling. Together, our results highlight the limitations of 2D systems and demonstrate that 3D-bioprinted platforms provide a scalable, physiologically relevant tool for investigating cardiometabolic diseases and therapeutic targets.]]> Wed, 31 Dec 1969 19:00:00 EST Perfluoroalkyl substance pollutants disrupt microglia function and trigger transcriptional and epigenomic changes. Cheng Y, Li JR, Yu H, Li S, Tychhon B, Cheng C, Weng YL
Toxicology (Nov 2025)

Per- and polyfluoroalkyl substances (PFAS), commonly referred to as "forever chemicals", are widely utilized in various industries and consumer products worldwide. Their exposure has been associated with numerous diseases and malignancies, including neurodevelopmental and neurodegenerative disorders. However, the molecular mechanisms underlying PFAS-induced adverse effects on the central nervous system (CNS) remain poorly understood. In this study, we investigated the transcriptomic and epigenetic changes in microglia exposed to perfluorooctane sulfonate (PFOS), a prevalent PFAS compound. Our findings demonstrate that 24-hour PFOS exposure (25 and 50 µM) disrupts the microglial transcriptome and compromises their homeostatic state, marked by increased inflammation and impaired actin cytoskeleton remodeling. Comparative analysis with in vivo transcriptional states revealed that PFOS-exposed microglia exhibit gene expression profiles resembling those of aged microglia. Additionally, profiling of active chromatin regions uncovered significant alterations in the H3K27ac landscape in PFOS-exposed microglia. Notably, these epigenetic disruptions persisted even after PFOS withdrawal, with a subset of H3K27ac-enriched regions remaining altered, suggesting the presence of lasting epigenetic scars. Furthermore, transcription factor analysis implicated the AP-1 and TEAD families as potential upstream regulators connecting the altered chromatin landscape to transcriptomic changes. Collectively, these findings provide mechanistic insights into how PFOS exposure disrupts microglial function and highlight its potential role in exacerbating neurodegenerative processes.]]> Wed, 31 Dec 1969 19:00:00 EST Using Epigenetic Data to Deconvolute Immune Cells in Cancer from Blood Samples. Boughanem H, Ouzounis S, Callari M, Sanz-Pamplona R, Macias-Gonzalez M, Katsila T
Methods Mol Biol (2026)

DNA methylation plays a crucial role in regulating gene expression and is a hallmark of epigenetic dysregulation in human tumors. High-throughput DNA methylation profiling can unravel intricate patterns in cancer. Moreover, understanding immune cell dynamics is essential for comprehending cancer progression and treatment response. Using DNA methylation data in immune cells, we can apply deconvolution algorithms estimate proportions of major immune cell types, providing insights into immune status and its implications in cancer. Functional analysis can identify specific overrepresented or underrepresented immune cell subsets, potentially uncovering novel biomarkers or therapeutic targets. This pipeline presents a detailed workflow in RStudio for DNA methylation studies and immune cell deconvolution, enhancing reproducibility and efficiency. The workflow integrates preprocessing, analysis, and visualization steps, facilitating robust inference of cell-type proportions from DNA methylation data.]]> Wed, 31 Dec 1969 19:00:00 EST IceQream: Quantitative chromosome accessibility analysis using physical TF models. Bercovich A, Lifshitz A, Eldar M, Cheng S, Stok Ranen R, Stelzer Y, Tanay A
Nat Commun (Oct 2025)

Single-cell mapping of chromosomal accessibility patterns has recently led to improved predictive modelling of epigenomic activity from sequence. However, quantitative models explaining the epigenome using directly interpretable components are still lacking. Here we develop IceQream (IQ), a modelling strategy and inference algorithm for regressing accessibility from sequences using physical models of transcription factor (TF) binding. IQ uses spatial integration of sequences over a range of TF-DNA affinities and localization relative to the target locus. It infers TF effective concentrations as latent variables that activate or repress regulatory elements in a non-linear fashion. These are supplemented with synergistic and antagonistic pairwise interactions between TFs. Analysis of both human and mouse data shows that IQ derives similar, and in some cases, better performance compared to state-of-the-art deep neural network models. IQ provides an essential mechanistic and explicable baseline for further developments toward understanding gene and genome regulation from sequence.]]> Wed, 31 Dec 1969 19:00:00 EST gene and male infertility: a South Slavic case-control study and multi-omics data integration. Kunej T, Podgrajsek R, Jaklic H, Hodzic A, Stimpfel M, Miljanovic O, Ristanovic M, Novakovic I, Plaseska-Karanfilska D, Noveski P, Ostojic S, Buretic-Tomljanovic A, Grskovic A, Peterlin B
Syst Biol Reprod Med (Dec 2025)

Components of the renin-angiotensin system (RAS) are expressed in both female and male reproductive tracts, with angiotensin I converting enzyme (ACE) being an important component for male reproductive function, as shown in animal models. The most studied polymorphism is the Alu insertion-deletion (I/D), which has been proposed to have a negative effect on male fertility. Given the conflicting evidence in the literature, we conducted a multicentric case-control study to investigate the association between the Alu I/D polymorphism and impaired spermatogenesis. Using PCR amplification and agarose electrophoresis, we genotyped the gene Alu I/D polymorphism in 745 South Slavic men. The study group consisted of 457 patients with impaired spermatogenesis, 239 with non-obstructive azoospermia (NOA) and 218 with oligoasthenoteratozoospermia (OAT) and a control group of 288 fertile men. No association was found between the Alu I/D polymorphism and these semen phenotypes, suggesting that it is not associated with NOA or severe OAT in this cohort. To provide a broader regulatory context, we also developed an integrative atlas of regulatory elements by in silico multi-omics analysis using genomics databases and bioinformatics tools. Data integration revealed various regulatory mechanisms at multiple omics levels, including genomics, epigenomics, miRNAomics, transcriptomics, proteomics and epiproteomics. These include genomic variants with predicted deleterious effects, a CpG island, microRNAs (miRNAs) and post-translational modifications (PTMs). In addition, protein interaction analysis revealed that ACE is indirectly linked to several proteins previously associated with male infertility and is also targeted by miRNA previously associated with oligozoospermia. This comprehensive, multi-faceted approach, combining genetic association analysis with bioinformatics, provides insights into regulation in its broader molecular context. These results emphasize the importance of further integrative multi-omics and systems biology research to better understand the role of ACE in male reproductive function.]]> Wed, 31 Dec 1969 19:00:00 EST Perspective: divergent mRNA transcription machinery in . Drews F, Simon M
Transcription (Oct 2025)

Proper regulation of transcription involves not only quantitative control of RNA dosage but also ensuring the correct biochemical properties of transcripts. In all eukaryotes, the epigenetic landscape and the dynamic composition of the RNA Polymerase II complex (PolII) interact to control the transcription of translatable mRNA. Decades of research have described dogmatic rules for model organisms, such as the distribution of individual chromatin marks along the transcription unit or the hierarchical phosphorylation pattern in the C-terminal domain (CTD) of the largest PolII subunit RPB1. Besides this canonical mRNA transcription, there are exceptions; on the one hand, not all genes in a species follow the dogma, and on the other hand, there are species that show general divergence from the models, both in the epigenomic landscape and in the genetically encoded PolII. In the recent literature, protists in particular have shifted their attention as they show considerable differences in chromatin structure and PolII complex composition. Here, we aim to enlighten the transcription machinery of the unicellular ciliate as an exciting model to study a divergent transcriptional machinery for vegetative mRNA and developmental ncRNA transcription.]]> Wed, 31 Dec 1969 19:00:00 EST Sex-stratified piRNA expression analysis reveals shared functional impacts of perinatal lead (Pb) exposure in murine hearts. Sala-Hamrick KE, Wang K, Perera BPU, Sartor MA, Svoboda LK, Dolinoy DC
Epigenetics (Dec 2025)

The landscape of PIWI-interacting RNA (piRNA) expression in the heart is poorly understood, particularly regarding sex differences. Altered piRNA expression has been reported in cardiovascular disease (CVD), and although exposure to the metal lead (Pb) is strongly associated with CVD risk, no studies have investigated Pb's effects on cardiac piRNAs. This study aimed to characterize piRNA expression in the murine heart and assess sex-specific effects of human-relevant maternal Pb exposure on adult offspring cardiac piRNA expression. piRNAs were identified from whole mouse hearts using sodium periodate exclusion of small RNA and subsequent sequencing. Control mice expressed 18,956 piRNAs in combined-sex analysis; sex-specific analyses revealed 9,231 piRNAs in female hearts and 5,972 piRNAs in male hearts. Genomic mapping showed 28-41% aligned to introns, while 12-28% mapped to exons. Comparing control and Pb-exposed hearts, we found more potential Pb-induced expression changes in females (847) compared to males (187) (p-value < 0.05 and |logFC| > 1). These piRNAs were significantly enriched near genes involved in biological processes related to heart function and CVD development, including mitochondrial function, energy metabolism, and cardiac muscle structure (FDR < 0.05). Overall, we characterized combined and sex-stratified piRNA expression in both control and Pb-exposed murine hearts. In addition to providing a foundation for sex-specific piRNA expression in the heart, these findings suggest a novel epigenetic mechanism by which developmental Pb exposure may impact CVD risk later in life. Future studies will link these sex-specific molecular changes to Pb-induced alterations in cardiac function.]]> Wed, 31 Dec 1969 19:00:00 EST HNGST: a fully automated, web-based platform for end-to-end ChIP-seq analysis. Heo HH, Um SJ
BMC Bioinformatics (Oct 2025)

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a widely used technique for mapping protein-DNA interactions and histone modifications across the genome. Despite its utility, current analysis tools often require manual file processing, rigid input formats, and a significant level of bioinformatics expertise, posing a challenge for many experimental researchers.]]> Wed, 31 Dec 1969 19:00:00 EST and are human placenta-specific imprinted genes associated with germline-inherited maternal DNA methylation. Daskeviciute D, Sainty B, Chappell-Maor L, Bone C, Russell S, Iglesias-Platas I, Arnaud P, Monteagudo-Sánchez A, Greenberg MVC, Chen K, Manerao-Azua A, Perez de Nanclares G, Lartey J, Monk D
Epigenetics (Dec 2025)

Genomic imprinting is the parent-of-origin specific monoallelic expression of genes that result from complex epigenetic interactions. It is often achieved by monoallelic 5-methylcytosine, resulting in the formation of differentially methylated regions (DMRs). These show a bias towards oocyte-derived methylation and survive reprogramming in the pre-implantation embryo. Imprinting is widespread in the human placenta. We have recently performed whole-genome screens for novel imprinted placenta-specific germline DMRs (gDMRs) by comparing methylomes of gametes, blastocysts and various somatic tissues, including placenta. We observe that, unlike conventional imprinting, for which methylation at gDMRs is observed in all tissues, placenta-specific imprinting is associated with transient gDMRs, present only in the pre-implantation embryo and extra-embryonic lineages. To expand the list of imprinted genes subject to placenta-specific imprinting, we reinvestigated our list of candidate loci and characterized two novel imprinted genes, and , both of which display polymorphic imprinting. Interrogation of placenta single-cell RNA-seq datasets, as well as cell-type methylation profiles, revealed complex cell-type specificity. We further interrogated their methylation and expression in placental samples from complicated pregnancies, but failed to identify differences between intrauterine growth restricted or pre-eclamptic samples and controls, suggesting they are not involved in these conditions.]]> Wed, 31 Dec 1969 19:00:00 EST Immunofluorescence Staining and Microscopic Imaging of Plant Nuclei for Epigenetic Modifications. Gandhivel VH, Raju S, Shivaprasad PV
Methods Mol Biol (2026)

Histone posttranslational modifications (PTMs) and DNA methylation are the predominant epigenetic modifications on the chromatin that regulate gene expression. These modifications can be spatially resolved using microscopic examination of the nuclei with the help of commercially available antibodies. Here, we describe a detailed method to obtain intact nuclei from plant tissues and reproducibly immunostain the nuclei for specific chromatin marks and microscopic examination. This method can be readily extended to multiple plant species as the antibodies are raised against conserved epigenetic marks.]]> Wed, 31 Dec 1969 19:00:00 EST The myoblast methylome: multiple types of associations with chromatin and transcription. Sen S, Lacey M, Baribault C, Ponnaluri VKC, Esteve PO, Ehrlich KC, Meletta M, Pradhan S, Ehrlich M
Epigenetics (Dec 2025)

Epigenetic changes are implicated in development, repair, and physiology of postnatal skeletal muscle (SkM). We generated methylomes for human myoblasts (SkM progenitor cells) and determined myoblast differentially methylated regions (DMRs) for comparison to the epigenomics and transcriptomics of diverse cell types. Analyses were from global genomic and single-gene perspectives and included reporter gene assays. One atypical finding was the association of promoter-adjacent hypermethylation in myoblasts with transcription turn-on, but at downmodulated levels, for certain genes (., and ). In contrast, brain-specific was in repressed chromatin and silent in most cell types but linked to hypermethylated DMRs specifically in myoblasts. The -linked DMRs might be needed because of the overlapping or nearby binding of myogenic differentiation protein 1 (MYOD). We found genome-wide overlap of DMRs with MYOD or CCCTC-binding factor (CTCF) binding sites in myoblasts that is consistent with the importance of MYOD, as well as CTCF, in organizing myoblast transcription-enhancing chromatin interactions. We also observed some gene upregulation correlated with a special association of regional DNA hypomethylation with H3K36me3, H3K27ac, and H3K4me1 enrichment. Our study highlights unusual relationships between epigenetics and gene expression that illustrate the interplay between DNA methylation and chromatin epigenetics in the regulation of transcription.]]> Wed, 31 Dec 1969 19:00:00 EST Brain DNA Methylation Atlas of App Alzheimer's Disease Model Mice Across Age and Region Reveals Choline-Induced Resilience. Krunic A, Bellio TA, Cohen BZ, Labadorf A, Stein TD, Lin H, Mellott TJ, Blusztajn JK
Aging Cell (Oct 2025)

Alzheimer's disease (AD) is the most common type of dementia. Current treatments for AD are inadequate, and there is a need to design preventive strategies that would improve the resistance or resilience to AD pathology. Because aberrant brain DNA methylation (DNAm) is associated with hallmarks of AD, we tested the hypothesis that a nutritional approach using choline, an essential nutrient and methyl donor, would modulate DNAm to ameliorate AD pathologies. Previous studies showed that perinatal choline supplementation (PCS) reduced AD-like neuropathology and inflammation while improving cognitive performance in AD mouse models. Here we investigated hippocampal and cerebral cortical DNAm patterns by reduced representation bisulfite sequencing from 3 to 12 months in wild-type (WT) and App AD model mice fed a 1.1 g/kg control or 5.5 g/kg PCS diet from conception to weaning. App mice showed extensive CpG DNAm changes, which were associated with the age-dependent progression of amyloidosis. PCS induced genotype-specific DNAm patterns and reversed DNAm changes in multiple genes in App mice. By associating DNAm with matched transcriptomics, we found that DNAm in App mice correlated with the expression of microglial genes, while DNAm-associated genes modulated by PCS were related to synaptic function. Moreover, we found that methylation levels of several CpGs were associated with levels of beta amyloidosis, relating epigenetic changes to neuropathology. Overall, our data suggest that DNAm in the brain serves as an epigenetic mechanism for abnormal gene expression in App mice and indicate that PCS may promote resilience to synaptic dysfunction through modulating DNAm.]]> Wed, 31 Dec 1969 19:00:00 EST Differential methylation patterns in cord blood associated with prenatal exposure to neighborhood crime: an epigenome-wide association study and regional analysis. Martin CL, Chen J, D'Alessio AS, Ward-Caviness CK, Ye A, Lodge EK, Ghastine L, Dhingra R, Jima DD, Murphy SK, Hoyo C
Epigenetics (Dec 2025)

Exposure to prenatal social stressors during pregnancy is associated with adverse birth outcomes and has been linked to epigenetic changes in DNA methylation (DNAm); however, less understood is the effect of neighborhood-level stressors like crime during pregnancy on offspring DNAm. Using data from the Newborn Epigenetic Study, we conducted epigenome-wide and regional analyses of the association between exposure to neighborhood crime and DNAm in offspring cord blood using Illumina's HumanMethylation450k BeadChip among 185 mother-offspring pairs. Prenatal exposure to neighborhood crime at the census block group level was mapped to participants' residential addresses during the gestational window from the date of last menstrual period to delivery. Models for the epigenome-wide and regional analyses were adjusted for maternal age, race/ethnicity, education, smoking, cell-type composition, and offspring sex. Genetic influence and gene expression enrichment were assessed using methylation quantitative trait loci (mQTLs) and expression quantitative trait methylation (eQTMs) analyses. Functional enrichment was determined using Gene Ontology and KEGG databases. We did not find evidence of epigenome-wide associations between prenatal neighborhood crime exposure and DNAm; however, we identified nine differentially methylated regions (DMRs) comprising 51 CpG sites associated with neighborhood crime. CpG sites within significant differentially methylated regions were associated with mQTLs at birth and eQTMs upon further examination. KEGG analysis identified a significant Th1 and Th2 cell differentiation pathway. Our results suggest potential links between prenatal neighborhood crime exposure and offspring DNAm; however, additional research is needed in larger cohorts across wider geographic areas to confirm our results.]]> Wed, 31 Dec 1969 19:00:00 EST DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics. Aref-Eshghi E, Abadi AB, Farhadieh ME, Hooshmand A, Ghasemi F, Youssefian L, Vahidnezhad H, Kerrins TM, Zhao X, Akbarzadeh M, Hakonarson H, Saeidian AH
Clin Epigenetics (Oct 2025)

DNA methylation is an epigenetic modification that regulates gene expression by adding methyl groups to DNA, affecting cellular function and disease development. Machine learning, a subset of artificial intelligence, analyzes large datasets to identify patterns and make predictions. Over the past two decades, advances in bioinformatics technologies for arrays and sequencing have generated vast amounts of data, leading to the widespread adoption of machine learning methods for analyzing complex biological information for medical problems. This review explores recent advancements in DNA methylation studies that leverage emerging machine learning techniques for more precise, comprehensive, and rapid patient diagnostics based on DNA methylation markers. We present a general workflow for researchers, from clinical research questions to result interpretation and monitoring. Additionally, we showcase successful examples in diagnosing cancer, neurodevelopmental disorders, and multifactorial diseases. Some of these studies have led to the development of diagnostic platforms that have entered the global healthcare market, highlighting the promising future of this field.]]> Wed, 31 Dec 1969 19:00:00 EST use capsules, transporters, mobile genetic elements, and other evolutionary adaptations to survive antibiotics exposure in the absence of resistance genes. Mmatli M, Mbelle NM, Fourie B, Osei Sekyere J
Virulence (Dec 2025)

Whole-genome sequencing, transcriptomic profiling, and epigenomic analyses were performed. Phenotypic assays were used to evaluate the effects of various inhibitors on antibiotic susceptibility, while bioinformatic pipelines were used to characterize resistance determinants, virulence factors, and mobile genetic elements (MGEs).]]> Wed, 31 Dec 1969 19:00:00 EST Study on the pathogenesis of vascular dementia by gene expression regulatory network. Bai H
Gene (Oct 2025)

Vascular dementia (VaD) is the second largest type of dementia in the world after Alzheimer's disease, characterized by selective loss of neurons caused by cerebrovascular disease, dysfunction of cortical subcortical circuits, and cognitive domain specific damage. This article systematically analyzes some gene expression regulation issues in VaD pathogenesis from five dimensions: abnormal gene expression profile, epigenetic modification abnormality, transcription factor (TF) cascade regulation, non coding RNA (ncRNA) regulatory axis disorder, and gene environment interaction. For the first time, the "Dynamic Imbalance Theory of Gene Regulation Network" (DIGRN) is proposed. By integrating transcriptomics, epigenomics, proteomics, and clinical sample analysis, the key roles of abnormal DNA methylation, histone modification imbalance, transcription factor cascade activation, miRNA lncRNA regulatory axis disruption, and synergistic effects of environmental factors in VaD pathology were revealed. The DIGRN theory provides a new framework for early diagnosis, molecular typing, and targeted intervention of VaD. Its clinical translation prospects involve epigenetic drug development, ncRNA biomarker screening, and construction of gene environment interaction risk prediction models.]]> Wed, 31 Dec 1969 19:00:00 EST Host-microbe multi-omics and succinotype profiling have prognostic value for future relapse in patients with inflammatory bowel disease. O'Sullivan J, Patel S, Leventhal GE, Fitzgerald RS, Laserna-Mendieta EJ, Huseyin CE, Konstantinidou N, Rutherford E, Lavelle A, Dabbagh K, DeSantis TZ, Shanahan F, Temko A, Iwai S, Claesson MJ
Gut Microbes (Dec 2025)

Crohn's disease (CD) and ulcerative colitis (UC) are chronic relapsing inflammatory bowel disorders (IBD), the pathogenesis of which is uncertain but includes genetic susceptibility factors, immune-mediated tissue injury and environmental influences, most of which appear to act via the gut microbiome. We hypothesized that host-microbe alterations could be used to prognostically stratify patients experiencing relapses up to four years after endoscopy. We therefore examined multiple omics data, including published and new datasets, generated from paired inflamed and non-inflamed mucosal biopsies from 142 patients with IBD (54 CD; 88 UC) and from 34 control (non-diseased) biopsies. The relapse-predictive potential of 16S rRNA gene and transcript amplicons (standing and active microbiota) were investigated along with host transcriptomics, epigenomics and genetics. While standard single-omics analysis could not distinguish between patients who relapsed and those that remained in remission within four years of colonoscopy, we did find an association between the number of flares and a patient's succinotype. Our multi-omics machine learning approach was also able to predict relapse when combining features from the microbiome and human host. Therefore multi-omics, rather than single omics, better predicts relapse within 4 years of colonoscopy, while a patient's succinotype is associated with a higher frequency of relapses.]]> Wed, 31 Dec 1969 19:00:00 EST Spatial metabolomics and multiomics integration for breakthroughs in precision medicine for kidney disease. Sharma K, Hansen J, Susztak K, Eberlin L, Anderton CR, Alexandrov T, Iyengar R
Nat Rev Nephrol (Oct 2025)

Precision medicine is now a feasible prospect for nephrologists as numerous therapeutic options are available for various forms of kidney disease. However, implementation of this strategy will require high-dimensional diagnostic approaches to identify patients who will respond to an intervention and monitor mechanisms of action relevant to the underlying disease process. With the advent of spatial omics, comprehensive and thorough molecular analysis of biological samples is now possible. In particular, spatial metabolomics analysis of kidney biopsy samples could have an important role in facilitating precision medicine for kidney diseases. Spatial metabolomics can be used to monitor changes in the functional outcomes of genes and proteins in specific anatomical compartments such as the glomeruli, tubules, blood vessels and interstitial spaces. Spatial metabolomics studies have identified adenine in regions of interstitial fibrosis and arteriosclerosis in diabetic kidney disease, provided new insights into the regulation of N-glycans in glomeruli from patients with diabetes, and enabled a new metabolomic classification of kidney cancer subtypes. Use of computational informatic platforms to integrate genomics, transcriptomics, proteomics and epigenomics with metabolomics will further enhance the value of spatial metabolomics for clinical applications.]]> Wed, 31 Dec 1969 19:00:00 EST Optimized CUT&Tag enables robust epigenome profiling in Schizosaccharomyces pombe. Huang CZ, Zhou KD, Ma W
Methods (Nov 2025)

We optimized permeabilization for CUT&Tag in S. pombe, enabling robust H3K9me3 profiling using lightly fixed permeabilized sepheroplasts, overcoming limitations of ChIP-seq including crosslinking artifacts and high cell input. We established an optimized Cleavage Under Targets and Tagmentation (CUT&Tag) protocol for high-resolution epigenome profiling inSchizosaccharomyces pombeusing Critical permeabilization refinements identified Lywallzyme as the optimal enzyme for spheroplast generation (>95 % efficiency in 60 min at 10 mg/mL), outperforming Zymolyase-20 T and combinatorial treatments. Systematic parameter optimization revealed concentration-dependent digestion kinetics and an inverse cell load-efficiency relationship (5 × 10 cells achieving > 90 % conversion in 50 min at 5 mg/mL). Validated through H3K9me3 mapping in wild-type andclr4Δstrains (10⁶ cells/replicate), this approach captured specific heterochromatic enrichment at centromeres/telomeres with complete signal ablation in mutants, while reduced spike-in DNA (0.2 pg) significantly enhanced signal-to-noise ratios. The protocol enables robust epigenomic analysis with minimal cell input and enhanced resolution.]]> Wed, 31 Dec 1969 19:00:00 EST Decoding preterm birth: Non-Invasive biomarkers and personalized multi-omics strategies. Farzizadeh N, Najmi Z, Rosenbaum AJ, Amoozgar M, Hariri A, Aminbeidokhti M, Khosravi A, Zarrabi A
Dev Biol (Oct 2025)

A birth that occurs prior to 37 weeks of gestation is referred to as preterm birth (PTB). PTB is a health concern globally with significant outcomes including neonatal morbidity and mortality. Advancements in multi-omics have revolutionized the understanding of PTB pathogenesis, offering new opportunities for early prediction and risk categorization. This review highlights emerging liquid biomarkers derived from proteomic, metabolomic, genomic, transcriptomic, and epigenomic studies, emphasizing the integrative power of multi-omics approaches. Proteomic analyses have revealed key proteins in maternal and fetal compartments associated with inflammatory and extracellular matrix pathways, while metabolomics have identified lipid and metabolite profiles linked to energy metabolism and fetal development. Genomic and epigenomic studies have uncovered genetic variations and microRNAs involved in uterine contractility and immune modulation, providing novel insights into PTB's molecular underpinnings. Transcriptomic research further underscores the act of long non-coding RNAs (ncRNAs) in regulating gene expression and inflammatory responses. Multi-omics integration, coupled with machine learning models, has demonstrated superior predictive accuracy by synthesizing data across these domains, revealing intricate molecular interactions underlying PTB. Future research should prioritize longitudinal multi-omics studies to capture dynamic biological changes during pregnancy, expanding diverse population cohorts to enhance generalizability. Translating multi-omics insights into clinical practice necessitates collaborative efforts to develop cost-effective, accessible biomarker panels and establish standardized guidelines for implementation. These advancements hold the potential to transform prenatal care through personalized risk assessment and targeted preventive strategies, reducing the global burden of PTB.]]> Wed, 31 Dec 1969 19:00:00 EST