geneimprint : Hot off the Press

'; ?> 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 Wed, 18 Sep 2024 19:25:50 EDT Wed, 18 Sep 2024 19:25:50 EDT jirtle@radonc.duke.edu james001@jirtle.com Comprehensive multi-omics profiling identifies novel molecular subtypes of pancreatic ductal adenocarcinoma. Wang X, Yang J, Ren B, Yang G, Liu X, Xiao R, Ren J, Zhou F, You L, Zhao Y
Genes Dis (Nov 2024)

Pancreatic cancer, a highly fatal malignancy, is predicted to rank as the second leading cause of cancer-related death in the next decade. This highlights the urgent need for new insights into personalized diagnosis and treatment. Although molecular subtypes of pancreatic cancer were well established in genomics and transcriptomics, few known molecular classifications are translated to guide clinical strategies and require a paradigm shift. Notably, chronically developing and continuously improving high-throughput technologies and systems serve as an important driving force to further portray the molecular landscape of pancreatic cancer in terms of epigenomics, proteomics, metabonomics, and metagenomics. Therefore, a more comprehensive understanding of molecular classifications at multiple levels using an integrated multi-omics approach holds great promise to exploit more potential therapeutic options. In this review, we recapitulated the molecular spectrum from different omics levels, discussed various subtypes on multi-omics means to move one step forward towards bench-to-beside translation of pancreatic cancer with clinical impact, and proposed some methodological and scientific challenges in store.]]> Wed, 31 Dec 1969 19:00:00 EST Imprinted gene alterations in the kidneys of growth restricted offspring may be mediated by a long non-coding RNA. Doan TNA, Cowley JM, Phillips AL, Briffa JF, Leemaqz SY, Burton RA, Romano T, Wlodek ME, Bianco-Miotto T
Epigenetics (Dec 2024)

Altered epigenetic mechanisms have been previously reported in growth restricted offspring whose mothers experienced environmental insults during pregnancy in both human and rodent studies. We previously reported changes in the expression of the DNA methyltransferase and the imprinted genes (Cyclin-dependent kinase inhibitor 1C) and (Potassium voltage-gated channel subfamily Q member 1) in the kidney tissue of growth restricted rats whose mothers had uteroplacental insufficiency induced on day 18 of gestation, at both embryonic day 20 (E20) and postnatal day 1 (PN1). To determine the mechanisms responsible for changes in the expression of these imprinted genes, we investigated DNA methylation of KvDMR1, an imprinting control region (ICR) that includes the promoter of the antisense long non-coding RNA ( opposite strand/antisense transcript 1). expression decreased by 51% in growth restricted offspring compared to sham at PN1. Interestingly, there was a negative correlation between and in the E20 growth restricted group (Spearman's â0.014). No correlation was observed between and expression in either group at any time point. Additionally, there was a 11.25% decrease in the methylation level at one CpG site within KvDMR1 ICR. This study, together with others in the literature, supports that long non-coding RNAs may mediate changes seen in tissues of growth restricted offspring.]]> Wed, 31 Dec 1969 19:00:00 EST Learning Enhancer-Gene associations from Bulk Transcriptomic and Epigenetic Sequencing Data with STITCHIT. Rumpf L, Schulz MH
Methods Mol Biol (2025)

To reveal gene regulation mechanisms, it is essential to understand the role of regulatory elements, which are possibly distant from gene promoters. Integrative analysis of epigenetic and transcriptomic data can be used to gain insights into gene-expression regulation in specific phenotypes. Here, we discuss STITCHIT, an approach to dissect epigenetic variation in a gene-specific manner across many samples for the identification of regulatory elements without relying on peak calling algorithms. The obtained genomic regions are then further refined using a regularized linear model approach, which can also be used to predict gene expression. We illustrate the use of STITCHIT using H3k27ac ChIP-seq and RNA-seq data from the International Human Epigenome Consortium (IHEC).]]> Wed, 31 Dec 1969 19:00:00 EST Reminiscences on the honeybee genome project and the rise of epigenetic concepts in insect science. Maleszka R
Insect Mol Biol (Oct 2024)

The sequencing of the honeybee genome in 2006 was an important technological and logistic achievement experience. But what benefits have flown from the honeybee genome project? What does the annotated genomic assembly mean for the study of behavioural complexity and organismal function in honeybees? Here, I discuss several lines of research that have arisen from this project and highlight the rapidly expanding studies on insect epigenomics, emergent properties of royal jelly, the mechanism of nutritional control of development and the contribution of epigenomic regulation to the evolution of sociality. I also argue that the term 'insect epigenetics' needs to be carefully redefined to reflect the diversity of epigenomic toolkits in insects and the impact of lineage-specific innovations on organismal outcomes. The honeybee genome project helped pioneer advances in social insect molecular biology, and fuelled breakthrough research into the role of flexible epigenomic control systems in linking genotype to phenotype.]]> Wed, 31 Dec 1969 19:00:00 EST Prediction of Enhancer-Gene Interactions Using Chromatin-Conformation Capture and Epigenome Data Using STARE. Hecker D, Schulz MH
Methods Mol Biol (2025)

Disentangling the relationship of enhancers and genes is an ongoing challenge in epigenomics. We present STARE, our software to quantify the strength of enhancer-gene interactions based on enhancer activity and chromatin contact data. It implements the generalized Activity-by-Contact (gABC) score, which allows predicting putative target genes of candidate enhancers over any desired genomic distance. The only requirement for its application is a measurement of enhancer activity. In addition to regulatory interactions, STARE calculates transcription factor (TF) affinities on gene level. We illustrate its usage on a public single-cell data set of the human heart by predicting regulatory interactions on cell type level, by giving examples on how to integrate them with other data modalities, and by constructing TF affinity matrices.]]> Wed, 31 Dec 1969 19:00:00 EST Maternal adverse childhood experiences (ACEs) and offspring imprinted gene DMR methylation at birth. Vidal AC, Sosnowski DW, Marchesoni J, Grenier C, Thorp J, Murphy SK, Johnson SB, Schlief B, Hoyo C
Epigenetics (Dec 2024)

Adverse childhood experiences (ACEs) contribute to numerous negative health outcomes across the life course and across generations. Here, we extend prior work by examining the association of maternal ACEs, and their interaction with financial stress and discrimination, with methylation status within eight differentially methylated regions (DMRs) in imprinted domains in newborns. ACEs, financial stress during pregnancy, and experience of discrimination were self-reported among 232 pregnant women. DNA methylation was assessed at /, , , and regulatory sequences using pyrosequencing. Using multivariable linear regression models, we found evidence to suggest that financial stress was associated with hypermethylation of in non-Hispanic White newborns; discrimination was associated with hypermethylation of and in Hispanic newborns, and with hypomethylation of in non-Hispanic Black newborns. We also found evidence that maternal ACEs interacted with discrimination to predict offspring altered DMR methylation, in addition to interactions between maternal ACEs score and discrimination predicting and altered methylation in non-Hispanic White newborns. However, these interactions were not statistically significant after multiple testing corrections. Findings from this study suggest that maternal ACEs, discrimination, and financial stress are associated with newborn aberrant methylation in imprinted gene regions.]]> Wed, 31 Dec 1969 19:00:00 EST Transgenerational epigenetic self-memory of dosage is associated with methylation and altered growth trajectories and neonatal hormones. Martinez ME, Karaczyn A, Wu Z, Bennett CA, Matoin KL, Daigle HM, Hernandez A
Epigenetics (Dec 2024)

Intergenerational and transgenerational epigenetic effects resulting from conditions in previous generations can contribute to environmental adaptation as well as disease susceptibility. Previous studies in rodent and human models have shown that abnormal developmental exposure to thyroid hormone affects endocrine function and thyroid hormone sensitivity in later generations. Since the imprinted type 3 deiodinase gene () regulates sensitivity to thyroid hormones, we hypothesize its epigenetic regulation is altered in descendants of thyroid hormone overexposed individuals. Using DIO3-deficient mice as a model of developmental thyrotoxicosis, we investigated total and allelic expression and growth and endocrine phenotypes in descendants. We observed that male and female developmental overexposure to thyroid hormone altered total and allelic expression in genetically intact descendants in a tissue-specific manner. This was associated with abnormal growth and neonatal levels of thyroid hormone and leptin. Descendant mice also exhibited molecular abnormalities in the imprinted domain, including increased methylation in and altered foetal brain expression of other genes of the imprinted domain. These molecular abnormalities were also observed in the tissues and germ line of DIO3-deficient ancestors originally overexposed to thyroid hormone . Our results provide a novel paradigm of epigenetic self-memory by which gene dosage in a given individual, and its dependent developmental exposure to thyroid hormone, influences its own expression in future generations. This mechanism of epigenetic self-correction of expression in each generation may be instrumental in descendants for their adaptive programming of developmental growth and adult endocrine function.]]> Wed, 31 Dec 1969 19:00:00 EST Precision Medicine in Bariatric Procedures. Gala K, Ghusn W, Acosta A
Gastrointest Endosc Clin N Am (Oct 2024)

Obesity is a multi-factorial disease that is influenced by genetic, epigenetic, and environmental factors. Precision medicine is a practice wherein prevention and treatment strategies take individual variability into account. It involves using a variety of factors including deep phenotyping using clinical, physiologic, and behavioral characteristics, 'omics assays (eg, genomics, epigenomics, transcriptomics, and microbiomics among others), and environmental factors to devise practices that are individualized to subsets of patients. Personalizing the therapeutic modality to the individual can lead to enhanced effectiveness and tolerability. The authors review advances in precision medicine made in the field of bariatrics and discuss future avenues and challenges.]]> Wed, 31 Dec 1969 19:00:00 EST Insight into the complexity of male infertility: a multi-omics review. Podgrajsek R, Hodzic A, Stimpfel M, Kunej T, Peterlin B
Syst Biol Reprod Med (Dec 2024)

Male infertility is a reproductive disorder, accounting for 40-50% of infertility. Currently, in about 70% of infertile men, the cause remains unknown. With the introduction of novel omics and advancement in high-throughput technology, potential biomarkers are emerging. The main purpose of our work was to overview different aspects of omics approaches in association with idiopathic male infertility and highlight potential genes, transcripts, non-coding RNA, proteins, and metabolites worth further exploring. Using the Gene Ontology (GO) analysis, we aimed to compare enriched GO terms from each omics approach and determine their overlapping. A PubMed database screening for the literature published between February 2014 and June 2022 was performed using the keywords: male infertility in association with different omics approaches: genomics, epigenomics, transcriptomics, ncRNAomics, proteomics, and metabolomics. A GO enrichment analysis was performed using the Enrichr tool. We retrieved 281 global studies: 171 genomics (DNA level), 21 epigenomics (19 of methylation and two histone residue modifications), 15 transcriptomics, 31 non-coding RNA, 29 proteomics, two protein posttranslational modification, and 19 metabolomics studies. Gene ontology comparison showed that different omics approaches lead to the identification of different molecular factors and that the corresponding GO terms, obtained from different omics approaches, do not overlap to a larger extent. With the integration of novel omics levels into the research of idiopathic causes of male infertility, using multi-omic systems biology approaches, we will be closer to finding the potential biomarkers and consequently becoming aware of the entire spectrum of male infertility, their cause, prognosis, and potential treatment.]]> Wed, 31 Dec 1969 19:00:00 EST Extracting Chromosome Structural Information as One-Dimensional Metrics and Integrating Them with Epigenomics. Wang J, Chen H
Methods Mol Biol (2025)

Hi-C is a powerful method for obtaining genome-wide chromosomal structural information. The typical Hi-C analysis utilizes a two-dimensional (2D) contact matrix, which poses challenges for quantitative comparisons, visualizations, and integrations across multiple datasets. Here, we present a protocol for extracting one-dimensional (1D) features from chromosome structure data by HiC1Dmetrics. Leveraging these 1D features enables integrated analysis of Hi-C and epigenomic data.]]> Wed, 31 Dec 1969 19:00:00 EST Epigenome-wide association study of long-term psychosocial stress in older adults. Opsasnick LA, Zhao W, Schmitz LL, Ratliff SM, Faul JD, Zhou X, Needham BL, Smith JA
Epigenetics (Dec 2024)

Long-term psychosocial stress is strongly associated with negative physical and mental health outcomes, as well as adverse health behaviours; however, little is known about the role that stress plays on the epigenome. One proposed mechanism by which stress affects DNA methylation is through health behaviours. We conducted an epigenome-wide association study (EWAS) of cumulative psychosocial stress (â=â2,689) from the Health and Retirement Study (mean ageâ=â70.4âyears), assessing DNA methylation (Illumina Infinium HumanMethylationEPIC Beadchip) at 789,656 CpG sites. For identified CpG sites, we conducted a formal mediation analysis to examine whether smoking, alcohol use, physical activity, and body mass index (BMI) mediate the relationship between stress and DNA methylation. Nine CpG sites were associated with psychosocial stress (all â<â9E-07; FDR qâ<â0.10). Additionally, health behaviours and/or BMI mediated 9.4% to 21.8% of the relationship between stress and methylation at eight of the nine CpGs. Several of the identified CpGs were in or near genes associated with cardiometabolic traits, psychosocial disorders, inflammation, and smoking. These findings support our hypothesis that psychosocial stress is associated with DNA methylation across the epigenome. Furthermore, specific health behaviours mediate only a modest percentage of this relationship, providing evidence that other mechanisms may link stress and DNA methylation.]]> Wed, 31 Dec 1969 19:00:00 EST Cut&tag: a powerful epigenetic tool for chromatin profiling. Fu Z, Jiang S, Sun Y, Zheng S, Zong L, Li P
Epigenetics (Dec 2024)

Analysis of transcription factors and chromatin modifications at the genome-wide level provides insights into gene regulatory processes, such as transcription, cell differentiation and cellular response. Chromatin immunoprecipitation is the most popular and powerful approach for mapping chromatin, and other enzyme-tethering techniques have recently become available for living cells. Among these, Cleavage Under Targets and Tagmentation (CUT&Tag) is a relatively novel chromatin profiling method that has rapidly gained popularity in the field of epigenetics since 2019. It has also been widely adapted to map chromatin modifications and TFs in different species, illustrating the association of these chromatin epitopes with various physiological and pathological processes. Scalable single-cell CUT&Tag can be combined with distinct platforms to distinguish cellular identity, epigenetic features and even spatial chromatin profiling. In addition, CUT&Tag has been developed as a strategy for joint profiling of the epigenome, transcriptome or proteome on the same sample. In this review, we will mainly consolidate the applications of CUT&Tag and its derivatives on different platforms, give a detailed explanation of the pros and cons of this technique as well as the potential development trends and applications in the future.]]> Wed, 31 Dec 1969 19:00:00 EST Genetic confounds of transgenerational epigenetic inheritance in mice. Sapozhnikov DM, Szyf M
Epigenetics (Dec 2024)

Transgenerational epigenetic inheritance in mammals remains a controversial phenomenon. A recent study by Takahashi et al. provides evidence for this mode of inheritance in mice by using a CRISPR/Cas9-based epigenetic editing technique to modify DNA methylation levels at specific promoters and then demonstrating the inheritance of the gain in methylation in offspring. In this technical commentary, we argue that the method used in the original study inherently amplifies the likelihood of genetic changes that thereafter lead to the heritability of epigenetic changes. We provide evidence that genetic changes from multiple sources do indeed occur in these experiments and explore several avenues by which these changes could be causal to the apparent inheritance of epigenetic changes. We conclude a genetic basis of inheritance cannot be ruled out and thus transgenerational epigenetic inheritance has not been adequately established by the original study.]]> Wed, 31 Dec 1969 19:00:00 EST Advances in post-translational modifications and recurrent spontaneous abortion. Lai H, Yang Y, Zhang J
Gene (Nov 2024)

Recurrent spontaneous abortion (RSA) is defined as two or more pregnancy loss, which affects approximately 1-2% of women's fertility. The etiology of RSA has not yet been fully revealed, which poses a great problem for clinical treatment. Post- translational modifications(PTMs) are chemical modifications that play a crucial role in the functional proteome. A considerable number of published studies have shown the relationship between post-translational modifications of various proteins and RSA. The study of PTMs contributes to elucidating the role of modified proteins in the pathogenesis of RSA, as well as the design of more effective diagnostic/prognostic tools and more targeted treatments. Most reviews in the field of RSA have only focused on RNA epigenomics research. The present review reports the latest research developments of PTMs related to RSA, such as glycosylation, phosphorylation, Methylation, Acetylation, Ubiquitination, etc.]]> Wed, 31 Dec 1969 19:00:00 EST AIMER: A SNP-independent software for identifying imprinting-like allelic methylated regions from DNA methylome. Luo Y, Zhou T, Liu D, Wang F, Zhao Q
Comput Struct Biotechnol J (Dec 2024)

Genomic imprinting is essential for mammalian growth and embryogenesis. High-throughput bisulfite sequencing accompanied with parental haplotype-specific information allows analysis of imprinted genes and imprinting control regions (ICRs) on a large scale. Currently, although several allelic methylated regions (AMRs) detection software were developed, methods for detecting imprinted AMRs is still limited. Here, we developed a SNP-independent statistical approach, AIMER, to detect imprinting-like AMRs. By using the mouse frontal cortex methylome as input, we demonstrated that AIMER performs very well in detecting known germline ICRs compared with other methods. Furthermore, we found the putative parental AMRs AIMER detected could be distinguished from sequence-dependent AMRs. Finally, we found a novel germline imprinting-like AMR using WGBS data from 17 distinct mouse tissue samples. The results indicate that AIMER is a good choice for detecting imprinting-like (parent-of-origin-dependent) AMRs. We hope this method will be helpful for future genomic imprinting studies. The Python source code for our project is now publicly available on both GitHub (https://github.com/ZhaoLab-TMU/AIMER) and Gitee (https://gitee.com/zhaolab_tmu/AIMER).]]> Wed, 31 Dec 1969 19:00:00 EST Accentuate the positive: Cultivating positive affect during treatment for stimulant use disorder can regulate the immune system. Meade CS, Towe SL
Brain Behav Immun (Nov 2024)

]]> Wed, 31 Dec 1969 19:00:00 EST DNA methylation variation and growth in the clonal is regulated by both past and present lead environments. Quan J, Song S, Xing L, Liu X, Yue M
Epigenetics (Dec 2024)

Studies suggest that clonal plants' ability to select habitats and forage in a heterogeneous environment is influenced by their past environment, with stress legacy potentially playing a crucial role. In this study, we examined parental ramets of Focke that were subject to either a control or lead-contaminated environment (past environment), and their newborn offspring were then transplanted into control, homogeneous lead or heterogeneous lead environment (present environment). We analysed how past and present environments affect plant growth and DNA methylation in offspring. The result shown that the DNA methylation loci composition of offspring was affected by the interaction of parental environment and offspring environment, and DNA methylation levels were higher in heterogeneous environments. Moreover, our findings indicate that offspring would thrive in the heterogeneous lead environment if they did not experience lead pollution in the past, their progeny will avoid lead toxicity by reducing underground biomass allocation. However, when the parents experienced lead stress environment, their biomass allocation strategies disappeared, and they prefer to grow in favourable patches to avoid lead-contaminated patches. We concluded that the integration of historical parental exposure to lead-contaminated and current information about their offspring's environment are impacting plant phenotypes. It is possible that the stress legacy from the parents has been transmitted to their offspring ramets, and the stress legacy is at least partly based on heritable epigenetic variation. The phenotypic variation regulated by the stress legacy affects the growth performance, biomass allocation strategy, and even the behaviour of .]]> Wed, 31 Dec 1969 19:00:00 EST Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study. Torres-Martos Ã, Anguita-Ruiz A, Bustos-Aibar M, RamÃrez-Mena A, Arteaga M, Bueno G, Leis R, Aguilera CM, AlcalÃ¡ R, AlcalÃ¡-Fdez J
Artif Intell Med (Oct 2024)

Pediatric obesity can drastically heighten the risk of cardiometabolic alterations later in life, with insulin resistance standing as the cornerstone linking adiposity to the increased cardiovascular risk. Puberty has been pointed out as a critical stage after which obesity-associated insulin resistance is more difficult to revert. Timely prediction of insulin resistance in pediatric obesity is therefore vital for mitigating the risk of its associated comorbidities. The construction of effective and robust predictive systems for a complex health outcome like insulin resistance during the early stages of life demands the adoption of longitudinal designs for more causal inferences, and the integration of factors of varying nature involved in its onset. In this work, we propose an eXplainable Artificial Intelligence-based decision support pipeline for early diagnosis of insulin resistance in a longitudinal cohort of 90 children. For that, we leverage multi-omics (genomics and epigenomics) and clinical data from the pre-pubertal stage. Different data layers combinations, pre-processing techniques (missing values, feature selection, class imbalance, etc.), algorithms, training procedures were considered following good practices for Machine Learning. SHapley Additive exPlanations were provided for specialists to understand both the decision-making mechanisms of the system and the impact of the features on each automatic decision, an essential issue in high-risk areas such as this one where system decisions may affect people's lives. The system showed a relevant predictive ability (AUC and G-mean of 0.92). A deep exploration, both at the global and the local level, revealed promising biomarkers of insulin resistance in our population, highlighting classical markers, such as Body Mass Index z-score or leptin/adiponectin ratio, and novel ones such as methylation patterns of relevant genes, such as HDAC4, PTPRN2, MATN2, RASGRF1 and EBF1. Our findings highlight the importance of integrating multi-omics data and following eXplainable Artificial Intelligence trends when building decision support systems.]]> Wed, 31 Dec 1969 19:00:00 EST Hypomethylation at H19DMR in penile squamous cell carcinoma is not related to HPV infection. da Silva Santos R, Pascoalino Pinheiro D, Gustavo Hirth C, Barbosa Bezerra MJ, Joyce de Lima Silva-Fernandes I, AndrÃ©a da Silva Oliveira F, Viana de Holanda Barros M, Silveira Ramos E, A Moura A, Filho OMM, Pessoa C, Miranda Furtado CL
Epigenetics (Dec 2024)

Penile squamous cell carcinoma (SCC) is a rare and aggressive tumour mainly related to lifestyle behaviour and human papillomavirus (HPV) infection. Environmentally induced loss of imprinting (LOI) at the H19 differentially methylated region (H19DMR) is associated with many cancers in the early events of tumorigenesis and may be involved in the pathogenesis of penile SCC. We sought to evaluate the DNA methylation pattern at H19DMR and its association with HPV infection in men with penile SCC by bisulfite sequencing (bis-seq). We observed an average methylation of 32.2% Â± 11.6% at the H19DMR of penile SCC and did not observe an association between the p16+ (â=â0.59) and high-risk HPV+ (â=â0.338) markers with methylation level. The average methylation did not change according to HPV positive for p16+ or hrHPV+ (35.4% Â± 10%) and negative for both markers (32.4% Â± 10.1%) groups. As the region analysed has a binding site for the CTCF protein, the hypomethylation at the surrounding CpG sites might alter its insulator function. In addition, there was a positive correlation between intense polymorphonuclear cell infiltration and hypomethylation at H19DMR (â=â0.035). Here, we report that hypomethylation at H19DMR in penile SCC might contribute to tumour progression and aggressiveness regardless of HPV infection.]]> Wed, 31 Dec 1969 19:00:00 EST Imprinted lncRNA KCNQ1OT1 regulates CDKN1C expression through promoter binding and chromatin folding in pigs. Zhou Y, Yu H, Zhang D, Wang Z, Li Q, An X, Zhang S, Li Z
Gene (Sep 2024)

Long noncoding RNAs (lncRNAs) are implicated in a number of regulatory functions in eukaryotic genomes. In humans, KCNQ1OT1 is a 91Â kb imprinted lncRNA that inhibits multiple surrounding genes in cis. Among them, CDKN1C is closely related to KCNQ1OT1 and is involved in multiple epigenetic disorders. Here, we found that pigs also had a relatively conserved paternal allele expressing KCNQ1OT1 and had a shorter 5' end (â¼27Â kb) compared to human KCNQ1OT1. Knockdown of KCNQ1OT1 using antisense oligonucleotides (ASO) showed that upregulation of CDKN1C expression in pigs. However, porcine KCNQ1OT1 did not affect the DNA methylation status of the CpG islands in the promoters of KCNQ1OT1 and CDKN1C. Inhibition of DNA methyltransferase using Decitabine treatment resulted in a significant increase in both KCNQ1OT1 and CDKN1C expression, suggesting that the regulation between KCNQ1OT1 and CDKN1C may not be dependent on RNA interference. Further use of chromosome conformation capture and reverse transcription-associated trap detection in the region where CDKN1C was located revealed that KCNQ1OT1 bound to the CDKN1C promoter and affected chromosome folding. Phenotypically, inhibition of KCNQ1OT1 at the cumulus-oocyte complex promoted cumulus cell transformation, and to upregulated the expression of ALPL at the early stage of osteogenic differentiation of porcine bone marrow mesenchymal stem cells. Our results confirm that the expression of KCNQ1OT1 imprinting in pigs as well as porcine KCNQ1OT1 regulates the expression of CDKN1C through direct promoter binding and chromatin folding alteration. And this regulatory mechanism played an important role in cell differentiation.]]> Wed, 31 Dec 1969 19:00:00 EST