Mechanisms Of Gene Regulation Research Articles

Erythropoietin Production in Embryonic Neural Cells is Controlled by Hypoxia Signaling and Histone Deacetylases with an Undifferentiated Cellular State.

During mammalian development, production sites of the erythroid growth factor erythropoietin (EPO) shift from the neural tissues to the liver in embryos and to the kidneys in adults. Embryonic neural EPO-producing (NEP) cells, a subpopulation of neuroepithelial and neural crest cells, express the Epo gene between embryonic day (E) 8.5 and E11.5 to promote primitive erythropoiesis in mice. While Epo gene expression in the liver and kidneys is induced under hypoxic conditions through hypoxia-inducible transcription factors (HIFs), the Epo gene regulatory mechanisms in NEP cells remain to be elucidated. Here, we confirmed the presence of cells co-expressing EPO and HIFs in mouse neural tubes, where the hypoxic microenvironment activates HIFs. Chemical activation and inhibition of HIFs demonstrated the hypoxic regulation of EPO expression in human fetal neural progenitors and mouse embryonic neural tissues. In addition, we found that histone deacetylase inhibitors can reactivate EPO production in cell lines derived from NEP cells and human neuroblastoma, as well as in mouse primary neural crest cells, while rejuvenating these cells. Furthermore, the ability of the rejuvenated cells to produce EPO was maintained in hypoxia. Thus, EPO production is controlled by epigenetic mechanisms and hypoxia signaling in the immature state of hypoxic NEP cells.

Nuclear Factor I family members are key transcription factors regulating gene expression

The Nuclear Factor I (NFI) family of transcription factors (TFs) plays key roles in cellular differentiation, proliferation, and homeostasis. As such, NFI family members engage in large number of interactions with other proteins and the chromatin. However, despite their well-established significance, the NFIs interactomes, their dynamics, and their functions have not been comprehensively examined. Here, we employed complementary omics-level techniques, i.e. interactomics (affinity purification mass spectrometry (AP-MS) and proximity-dependent biotinylation (BioID)), and chromatin immunoprecipitation sequencing (ChIP-Seq), to obtain a comprehensive view of the NFI proteins and their interactions in different cell lines. Our analyses included all four NFI family members, and a less studied short isoform of NFIB (NFIB4), which lacks the DNA binding domain. We observed that, despite exhibiting redundancy, each family member had unique high-confidence interactors and target genes, suggesting distinct roles within the transcriptional regulatory networks. The study revealed that NFIs interact with other TFs to co-regulate a broad range of regulatory networks and cellular processes. Notably, time-dependent proximity-labeling unveiled a highly dynamic nature of NFI protein-protein interaction networks and hinted at temporal modulation of NFI interactions. Furthermore, gene ontology (GO) enrichment analysis of NFI interactome and targetome revealed the involvement of NFIs in transcriptional regulation, chromatin organization, and cellular signaling pathways, and pathways related with cancer. Additionally, we observed that NFIB4 engages with proteins associated with mRNA regulation, which suggests that NFIs have roles beyond traditional DNA binding and transcriptional modulation. We propose that NFIs may function as potential pioneering TFs, given their role in regulating the DNA binding ability of other TFs and their interactions with key chromatin remodeling complexes, thereby influencing a wide range of cellular processes. These insights into NFI protein-protein interactions and their dynamic, context-dependent nature provide a deeper understanding of gene regulation mechanisms and hint at the role of NFIs as master regulators.

Exploring acetylation-related gene markers in polycystic ovary syndrome: insights into pathogenesis and diagnostic potential using machine learning

Objective Polycystic ovary syndrome (PCOS) is a prevalent cause of menstrual irregularities and infertility in women, impacting quality of life. Despite advancements, current understanding of PCOS pathogenesis and treatment remains limited. This study uses machine learning-based data mining to identify acetylation-related genetic markers associated with PCOS, aiming to enhance diagnostic precision and therapeutic efficacy. Methods Advanced machine learning techniques were used to improve the precision of key gene identification and reveal their biological mechanisms. Validation on an independent dataset (GSE48301) confirmed their diagnostic value, assessed through ROC curves and nomograms for PCOS risk prediction. Molecular mechanisms of acetylation-related gene regulation in PCOS were further examined through clustering, immune-environmental, and gene network analyses. Results Our analysis identified 15 key acetylation-regulated genes differentially expressed in PCOS, including SGF29, NOL6, KLF15, and INO80D, which are relevant to PCOS pathogenesis. ROC curve analyses on training and validation datasets confirmed the model’s high diagnostic accuracy. Additionally, these genes were associated with immune cell infiltration, offering insights into the inflammatory aspect of PCOS. Conclusion The identified acetylation gene markers offer novel insights into the molecular mechanisms underlying PCOS and hold promise for enhancing the development of precise diagnostic and therapeutic strategies.

MiRStart 2.0: enhancing miRNA regulatory insights through deep learning-based TSS identification.

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression by binding to the 3'-untranslated regions of target mRNAs, influencing various biological processes at the post-transcriptional level. Identifying miRNA transcription start sites (TSSs) and transcription factors' (TFs) regulatory roles iscrucial for elucidating miRNA function and transcriptional regulation. miRStart 2.0 integrates over 4500 high-throughput datasets across five data types, utilizing a multi-modal approach to annotate 28828 putative TSSs for 1745 human and 1181 mouse miRNAs, supported by sequencing-based signals. Over 6 million tissue-specific TF-miRNA interactions, integrated from ChIP-seq data, are supplemented by DNase hypersensitivity and UCSC conservation data, with network visualizations. Our deep learning-based model outperforms existing tools in miRNA TSS prediction, achieving the most overlaps with both cell-specific and non-cell-specific validated TSSs. The user-friendly web interface and visualization tools make miRStart 2.0 easily accessible to researchers, enabling efficient identification of miRNA upstream regulatory elements in relation to their TSSs. This updated database provides systems-level insights into gene regulation and disease mechanisms, offering a valuable resource for translational research, facilitating the discovery of novel therapeutic targets and precision medicine strategies. miRStart 2.0 is now accessible at https://awi.cuhk.edu.cn/∼miRStart2.

Machine Learning Inference of Gene Regulatory Networks in Developing Mimulus Seeds

The angiosperm seed represents a critical evolutionary breakthrough that has been shown to propel the reproductive success and radiation of flowering plants. Seeds promote the rapid diversification of angiosperms by establishing postzygotic reproductive barriers, such as hybrid seed inviability. While prezygotic barriers to reproduction tend to be transient, postzygotic barriers are often permanent and therefore can play a pivotal role in facilitating speciation. This property of the angiosperm seed is exemplified in the Mimulus genus. In order to further the understanding of the gene regulatory mechanisms important in the Mimulus seed, we performed gene regulatory network (GRN) inference analysis by using time-series RNA-seq data from developing hybrid seeds from a viable cross between Mimulus guttatus and Mimulus pardalis. GRN inference has the capacity to identify active regulatory mechanisms in a sample and highlight genes of potential biological importance. In our case, GRN inference also provided the opportunity to uncover active regulatory relationships and generate a reference set of putative gene regulations. We deployed two GRN inference algorithms—RTP-STAR and KBoost—on three different subsets of our transcriptomic dataset. While the two algorithms yielded GRNs with different regulations and topologies when working with the same data subset, there was still significant overlap in the specific gene regulations they inferred, and they both identified potential novel regulatory mechanisms that warrant further investigation.

DHX36 binding induces RNA structurome remodeling and regulates RNA abundance via m6A reader YTHDF1

RNA structure constitutes a new layer of gene regulatory mechanisms. RNA binding proteins can modulate RNA secondary structures, thus participating in post-transcriptional regulation. The DEAH-box helicase 36 (DHX36) is known to bind and unwind RNA G-quadruplex (rG4) structure but the transcriptome-wide RNA structure remodeling induced by DHX36 binding and the impact on RNA fate remain poorly understood. Here, we investigate the RNA structurome alteration induced by DHX36 depletion. Our findings reveal that DHX36 binding induces structural remodeling not only at the localized binding sites but also on the entire mRNA transcript most pronounced in 3’UTR regions. DHX36 binding increases structural accessibility at 3’UTRs which is correlated with decreased post-transcriptional mRNA abundance. Further analyses and experiments uncover that DHX36 binding sites are enriched for N6-methyladenosine (m6A) modification and YTHDF1 binding; and DHX36 induced structural changes may facilitate YTHDF1 binding to m6A sites leading to RNA degradation. Altogether, our findings uncover the structural remodeling effect of DHX36 binding and its impact on RNA abundance through regulating m6A dependent YTHDF1 binding.

The QS regulator AphBvp promotes expression of the AHPND PirAvp and PirBvp toxins and may enhance virulence under acidic conditions

Shrimp acute hepatopancreatic necrosis disease (AHPND) is one of the most devastating diseases to impact the global shrimp farming industry, with a mortality rate of 70 %–100 %. The key virulence factors are a pair of Photorhabdus insect-related (Pir)-like toxins, PirAvp and PirBvp. In this study, by using an in vitro transcription and translation assay, we first confirmed that the quorum sensing transcriptional regulator AphBvp could trigger the expression of its downstream genes after binding to the AphBvp binding sequence in the promoter region of the pirAvp/pirBvp operon. Next, we showed that AphBvp was essential for the expression of these toxins by using an aphBvp-deletion mutant (ΔaphBvp) derived from the AHPND-causing Vibrio parahaemolyticus. Lastly, we discovered that the expression levels of PirAvp and PirBvp were up-regulated under acidic conditions (pH 4.5), and further showed that an acidic environment promoted the binding of AphBvp to the pirABvp promoter. We speculate that this was because the acidic environment favored the formation of AphBvp tetramers, which is important for binding to DNA. Taken together, these findings improve our understanding of the gene regulatory mechanisms of pirAvp and pirBvp, and suggest that the pH value of the environment might affect the virulence of AHPND-causing V. parahaemolyticus.

High-quality sika deer omics data and integrative analysis reveal genic and cellular regulation of antler regeneration.

Antler is the only organ that can fully regenerate annually in mammals. However, the regulatory pattern and mechanism of gene expression and cell differentiation during this process remain largely unknown. Here, we obtain comprehensive assembly and gene annotation of the sika deer (Cervus nippon) genome. Together with large-scale chromatin accessibility and gene expression data, we construct gene regulatory networks involved in antler regeneration, identifying four transcription factors, MYC, KLF4, NFE2L2, and JDP2 with high regulatory activity across whole regeneration process. Comparative studies and luciferase reporter assay suggest the MYC expression driven by a cervid-specific regulatory element might be important for antler regenerative ability. We further develop a model called cTOP which integrates single-cell data with bulk regulatory networks and find PRDM1, FOSL1, BACH1, and NFATC1 as potential pivotal factors in antler stem cell activation and osteogenic differentiation. Additionally, we uncover interactions within and between cell programs and pathways during the regeneration process. These findings provide insights into the gene and cell regulatory mechanisms of antler regeneration, particularly in stem cell activation and differentiation.

High-resolution chromosome-level genome of Scylla paramamosain provides molecular insights into adaptive evolution in crabs

BackgroundEvolutionary adaptation drives organismal adjustments to environmental pressures, exemplified in the diverse morphological and ecological adaptations seen in Decapoda crustaceans, particularly brachyuran crabs. Crabs thrive in diverse ecosystems, from coral reefs to hydrothermal vents and terrestrial habitats. Despite their ecological importance, the genetic mechanisms underpinning their developmental processes, reproductive strategies, and nutrient acquisition remain poorly understood.ResultsHere, we report a comprehensive genomic analysis of the green mud crab Scylla paramamosain using ultralong sequencing technologies, achieving a high-quality chromosome-level assembly. The refined 1.21 Gb genome, with an impressive contig N50 of 11.45 Mb, offers a valuable genomic resource. The genome exhibits 33,662 protein-coding genes, enriched in various pathways related to development and environmental adaptation. Gene family analysis shows expansion in development-related pathways and contraction in metabolic pathways, indicating niche adaptations. Notably, investigation into Hox gene regulation sheds light on their role in pleopod development, with the Abd-A gene identified as a linchpin. Post-transcriptional regulation involving novel-miR1317 negatively regulates Abd-A levels. Furthermore, the potential role of fru gene in ovarian development and the identification of novel-miR35 as a regulator of Spfru2 add complexity to gene regulatory networks. Comparative functional analysis across Decapoda species reveals neo-functionalization of the elovl6 gene in the synthesis of long-chain polyunsaturated fatty acids (LC-PUFA), suggesting its importance in environmental adaptation.ConclusionsOur findings shed light on various aspects of crab biology, including genome sequencing, assembly, and annotation, as well as gene family expansion, contraction, and regulatory mechanisms governing crucial developmental processes such as metamorphosis, reproductive strategies, and fatty acid metabolism.

Serum microRNA Biomarker Expression in HIV and TB: A Concise Overview.

Non-coding RNAs (ncRNAs), specifically MicroRNAs or miRNAs, are now under-stood to be essential regulators in the complex field of gene expression. By selectively bind-ing to certain mRNA targets, these tiny RNA molecules control the expression of genes., leading to mRNA degradation or translational repression. The discovery of miRNAs has sig-nificantly advanced biomedical research, particularly in elucidating the molecular mecha-nisms underlying various diseases and exploring innovative therapeutic approaches. Recent progress in miRNA research has provided insights into their biogenesis, functional roles, and potential clinical applications. Despite the absence of established methodologies for clinical implementation, miRNAs show great promise as diagnostic and therapeutic agents for a wide array of diseases. Their distinctive attributes, such as high specificity, sensitivity, and accessibility, position them as ideal candidates for biomarker development and targeted therapy. Achieving a comprehensive understanding of miRNA biology and functionality is crucial to fully harnessing their potential in medicine. Ongoing research efforts aim to un-ravel the intricate mechanisms of miRNA-mediated gene regulation and to develop novel approaches for utilizing miRNAs in disease diagnosis, prognosis, and treatment. This review provides a comprehensive analysis of current knowledge on miRNAs, focusing on their bio-genesis, regulatory mechanisms, and potential clinical applications. By synthesizing existing evidence and highlighting key research findings, this review aims to inspire further explora-tion into the diverse roles of miRNAs in health and disease. Ultimately, this endeavour could result in the development of innovative miRNA-based diagnostic and therapeutic strategies.

Hypoxia stress: plant's sensing, responses, and tolerance mechanisms.

Oxygen (O2) is an inhibiting factor for plant growth and development in submerged and flooding environments. Plants experience different O2 concentrations, such as normoxia, hypoxia, and anoxia, which can change over space and time. Plants have evolved various morphological, physiological, and biochemical adaptations to withstand low O2 stress, many of which have been well investigated. This review provides a detailed analysis of how plants respond to hypoxia, a significant stress factor primarily caused by flooding. Hypoxia affects plants at various cellular, developmental, and environmental levels. This review highlights genetic, molecular, and metabolic adaptations crops employ to cope with O2 deficiency. The roles of various transcription factors (TFs) and gene regulation mechanisms in enabling plants to modulate their physiological responses under hypoxic conditions are notable. The review also identifies a significant gap in research on plant responses during reoxygenation, the phase of returning to normal O2 levels, especially under natural lighting conditions. This transition poses ROS generation and photoinhibition challenges, affecting plant recovery post-hypoxia. We discuss various strategies to enhance plant hypoxia tolerance, including traditional breeding, genetic modification, and grafting techniques. It emphasizes integrating these approaches with a comprehensive understanding of hypoxia sensing and response mechanisms. We underscore the complexity of plant adaptations to hypoxia and the need for continued research in this field, especially in the face of global climate change. This is vital for developing sustainable agricultural practices and ensuring future food security.

The dynamic N1-methyladenosine RNA methylation provides insights into the tomato fruit ripening.

N1-methyladenosine (m1A) methylation is an essential mechanism of gene regulation known to impact several biological processes in living organisms. However, little is known about the abundance, distribution, and functional significance of mRNA m1A modification during fruit ripening of tomato the main model species for fleshy fruits. Our study shows that m1A modifications are prevalent in tomato mRNA and are detected in lncRNA and circRNA. The distribution of m1A peaks in mRNA segments indicates that m1A is mainly enriched at the start codon and CDS regions. Assessing changes in global RNA methylation during fruit ripening in wild-type tomatoes and in the ripening-impaired Nr mutant affected in the ethylene receptor gene (SlETR3) revealed a decrease in the overall methylation levels from mature green (MG) stage to 6 days postbreaker (Br + 6). Nr mutant fruits show significantly lower methylation levels than Ailsa Craig (AC) fruits. Notably, differences in m1A methylation are well correlated to the expression levels of a number of key ripening-related genes. The integration of RNA-seq and MeRIP-seq data suggests a potential positive impact of m1A modifications on gene expression. In comparison to the AC fruits, the hypomethylation and reduced expression of ethylene-related genes, ACO3, EBF1, and ERF.D6, in the Nr mutants likely underpin the distinct phenotypic traits observed between the two fruit genotypes at the Br6 stage. Overall, our study brings further arguments supporting the potential significance of m1A methylation modifications in fruit ripening, a developmental process that is instrumental to plant reproduction and to fruit sensory and nutritional qualities.

Metabolic regulation of RNA methylation by the m6A-reader IGF2BP3.

The interplay of RNA modifications - deposited by "writers", removed by "erasers" and identified by RNA binding proteins known as "readers" - forms the basis of the epitranscriptomic gene regulation hypothesis. Recent studies have identified the oncofetal RNA-binding protein IGF2BP3 as a "reader" of the N6-methyladenosine (m6A) modification and crucial for regulating gene expression. Yet, how its function as a reader overlaps with its critical oncogenic function in leukemia remains an open question. Here, we report the novel finding that the reader IGF2BP3 reprograms cellular metabolism, resulting in an altered ability of the "writers" to modify the epitranscriptome. In leukemia cells, IGF2BP3 supports increased glycolytic flux and one-carbon metabolism, leading to increased production of S-adenosyl methionine (SAM), a key substrate for methylation reactions within the cell. IGF2BP3 directly regulates the translation of MAT2B, the regulatory subunit of the methionine-adenosyltransferase complex, which is the final enzyme in a pathway leading to SAM production. This, in turn, results in increased m6A modifications on RNA, resulting in positive feedback regulation. This novel mechanism illustrates how metabolism mutually acts with epitranscriptomic modifications, underscoring the pervasive impact of IGF2BP3 in gene regulatory mechanisms governing a broad range of cancer-specific processes.

Multi-Modal Analysis of human Hepatic Stellate Cells identifies novel therapeutic targets for Metabolic Dysfunction-Associated Steatotic Liver Disease

Background and aimsMetabolic dysfunction-associated steatotic liver disease (MASLD) ranges from Metabolic dysfunction-associated steatotic liver (MASL) to Metabolic dysfunction-associated steatohepatitis (MASH) with fibrosis. Activation of Hepatic Stellate Cells (HSCs) into fibrogenic myofibroblasts plays a critical role in the pathogenesis of MASH liver fibrosis. We compared transcriptome and chromatin accessibility of human HSCs from NORMAL, MASL, and MASH livers at single cell resolution. We aimed to identify genes that are upregulated in activated HSCs and to determine which of these genes are key in the pathogenesis of MASH fibrosis. Methods18 human livers were profiled using single-nucleus (sn)RNA-seq and snATAC-seq. High priority targets were identified, then tested in 2D human HSC cultures, 3D human liver spheroids, and HSC-specific gene knockout mice. ResultsMASH-enriched activated (A) HSC subclusters are the major source of extracellular matrix proteins. We identified a set of concurrently upregulated and more accessible core genes (GAS7, SPON1, SERPINE1, LTBP2, KLF9, EFEMP1) that drive activation of (A) HSC subclusters. Expression of these genes was regulated via crosstalk between lineage-specific (JUNB/AP1), cluster-specific (RUNX1/2) and signal-specific (FOXA1/2) transcription factors. The pathological relevance of the selected targets, such as SERPINE1 (PAI-1), was demonstrated using dsiRNA-based HSC-specific gene knockdown or pharmacological inhibition of PAI-1 in 3D human MASH liver spheroids, and HSC-specific Serpine1 knockout mice. ConclusionThis study identified novel gene targets and regulatory mechanisms underlying activation of MASH fibrogenic HSCs and demonstrated that genetic or pharmacological inhibition of select genes suppressed liver fibrosis. Impact and implicationsHere we present snRNA-seq and snATAC-seq analysis of human HSCs from NORMAL, MASL, and MASH livers. We identified additional subclusters that were not detected by previous studies and characterized the mechanism by which HSCs activate in the MASH livers, including the transcriptional machinery that activates HSCs into myofibroblasts. For the first time, we described the pathogenic role of activated HSC-derived PAI-1 (a product of SERPINE1 gene) in the development of MASH liver fibrosis. Targeting of RUNX1/2-SERPINE1 axis may provide a novel strategy for treatment of liver fibrosis in patients.

Core promoter identification and transcriptional regulation of porcine ACSL3 gene.

Intramuscular fat (IMF) content is an important factor that affects the edible and processing quality of pork. Studying the transcriptional regulation mechanisms of genes affecting intramuscular fat deposition can provide theoretical support for genetic improvement in pigs. Long-chain fatty acyl-CoA synthase 3 (ACSL3), as a key enzyme in the process of lipid synthesis in mammals. However, no information about the core promoter of the ACSL3 gene and its transcriptional regulation has been reported so far. In this experiment, we successfully cloned 3112 bp of the porcine ACSL3 gene promoter region. In order to find out the core promoter of the ACSL3 gene. The results indicated that the core promoter region of the ACSL3 gene is located from -111 bp to -59 bp upstream of the transcription initiation site (TSS). To identify the interaction between SP1 and the ACSL3 gene promoter, we mutated the predicted binding sites of ACSL3 gene promoter. The results showed that the activity of the promoter was decreased by site-specific mutagenesis of the SP1 transcription factor binding site, while overexpression of SP1 increased the expression of the ACSL3 gene. In summary, our study identified a core promoter region of the porcine ACSL3 gene, and the SP1 binding site is responsible for the promoter activity.

Bioinformatic meta-analysis of transcriptomics of developing Drosophila muscles identifies temporal regulatory transcription factors including a Notch effector

The intricate mechanism of gene regulation coordinates the precise control of when, where, and to what extent genes are activated or repressed, directing the complex processes that govern cellular functions and development. Dysregulation of gene expression can lead to diseases such as autoimmune disorders, cancer, and neurodegeneration. Transcriptional regulation, especially involving transcription factors (TFs), plays a major role in controlling gene expression. This study focuses on identifying gene regulatory mechanisms that generate distinct gene expression patterns during Drosophila muscle development. Utilising a bioinformatics approach, we analysed the developmental time-point-specific transcriptomics resource generated by Spletter et al., which includes mRNA sequencing data at eight stages of indirect flight muscle (IFM) development. They had identified 40 distinct genome-wide clusters representing various temporal expression dynamics using 'soft' clustering. Promoter sequences of genes in these clusters were analysed to predict novel motifs that act as TF binding sites. Comparative analysis with known motifs revealed significant overlaps, indicating shared transcriptional regulation. The physiological relevance of predicted TFs was confirmed by cross-referencing with experimental ChIP-seq data. We focused on Cluster 36, characterised by a unique bimodal temporal expression profile, and identified candidate genes, Rbfox1 and zfh1, for further study. Ectopic overexpression experiments revealed that the TF Enhancer of split m8 helix-loop-helix [E(spl)m8-HLH], part of the Notch signalling pathway, acts as a transcriptional repressor for Rbfox1 and zfh1. Our findings highlight the complexity of transcriptional regulation during myogenesis, and identify key TFs that could be targeted for further research in muscle development and related disorders.

Identification and molecular marker development for peel color gene in melon (Cucumis melo L.)

Peel color is an important appearance quality of melons that greatly affects consumer preferences. In this study, a near-isogenic line NIL-G (dark green peel) was generated from B8 (grey-green peel) and B15 (white peel). The F2 population constructed by crossing NIL-G and B15 was used to study the inheritance pattern of peel color, and bulked-segregant analysis sequencing (BSA-seq) was employed to identify the interval in which the target gene was located. Genetic analysis results showed that the dark green peel trait at maturity is controlled by a dominant gene. BSA-seq and molecular markers were used to localize the candidate gene in a 263.7 kb interval of chromosome 4, which contained the CmAPRR2 gene with known functions. Moreover, allelic sequence analysis revealed four SNP variations of the CmAPRR2 gene in B15, of which SNP.G614331A was located at the junction of the 6th exon and 6th intron. The G-to-A mutation caused alternative splicing of the transcript of CmAPRR2 in B15, generating two transcripts (CmAPRR2-A and CmAPRR2-B) with premature termination codons. Furthermore, the Kompetitive Allele Specific PCR (KASP) marker, APRR2-G/A, was developed based on this SNP and shown to co-segregate with the peel color phenotype in the F2 population. Compared to white-peel B15, the expression level of CmAPRR2 in dark green peel NIL-G was higher at each growth stage. Therefore, CmAPRR2 may be the key gene controlling the fruit color of melons. Overall, this study identified a novel allelic variant of CmAPRR2 that leads to white peel formation in mature melons. The study also provides a theoretical basis for further research on the gene regulatory mechanism of melon peel colors and may promote the future use of molecular marker-assisted selection to modify melon peel colors.

Surprising Features of Nuclear Receptor Interaction Networks Revealed by Live Cell Single Molecule Imaging.

Type 2 Nuclear Receptors (T2NRs) require heterodimerization with a common partner, the Retinoid X Receptor (RXR), to bind cognate DNA recognition sites in chromatin. Based on previous biochemical and over-expression studies, binding of T2NRs to chromatin is proposed to be regulated by competition for a limiting pool of the core RXR subunit. However, this mechanism has not yet been tested for endogenous proteins in live cells. Using single molecule tracking (SMT) and proximity-assisted photoactivation (PAPA), we monitored interactions between endogenously tagged retinoid X receptor (RXR) and retinoic acid receptor (RAR) in live cells. Unexpectedly, we find that higher expression of RAR, but not RXR increases heterodimerization and chromatin binding in U2OS cells. This surprising finding indicates the limiting factor is not RXR but likely its cadre of obligate dimer binding partners. SMT and PAPA thus provide a direct way to probe which components are functionally limiting within a complex TF interaction network providing new insights into mechanisms of gene regulation in vivo with implications for drug development targeting nuclear receptors.

An epigenetic editor targeting human PCSK9 efficiently and durably lowers Low Density Lipoprotein Cholesterol (LDL-C) in non-human primates

Abstract Background Reducing the risk of atherosclerotic cardiovascular disease is dependent on both the magnitude and cumulative duration of LDL-C lowering. However, in clinical practice achieving treatment goals is often hampered by low adherence to standard of care. Although PCSK9 inhibitors represent an effective option for LDL-C lowering, they require chronic life-long treatment. Epigenetic editing is a new therapeutic approach designed to durably silence genes by leveraging nature’s endogenous cellular mechanism for gene regulation via CpG methylation without the inherent genotoxic risks of genome editing approaches that nick or cut the DNA. We are developing a PCSK9 epigenetic editor (PCSK9-EE) to durably silence PCSK9, with the promise of lifelong reduction in LDL-C. Methods Here, we describe the development of an epigenetic editor targeting human PCSK9. This epigenetic editor consists of a DNA targeting component fused to a transcriptional repressor domain and a DNA methyltransferase domain. PCSK9-EE was first screened and evaluated for specificity and efficacy in primary human hepatocytes (PHH). In vivo efficacy and durability were then evaluated in a transgenic mouse carrying the human PCSK9 genomic locus (hPCSK9-Tg mouse) and non-human primates (NHP). Results Our initial screen of PCSK9-EEs identified several hits that efficiently suppressed secreted PCSK9 levels in immortalized liver cells. We confirmed that our top PCSK9-EE candidates robustly decreased PCSK9 secretion in PHH and were found to be highly specific at targeting PCSK9 as assessed by RNA-seq, methylation array, and whole-genome methylation sequencing. To examine in vivo activity, we treated hPCSK9-Tg mice with a single administration of a lipid nanoparticle delivering mRNA encoding our PCSK9-EE and observed >97% reduction in liver PCSK9 mRNA, and >98% reduction in plasma PCSK9 for the duration of the study (one year). We then delivered PCSK9-EE in NHP and observed a robust reduction in plasma PCSK9 with a concomitant reduction in LDL-C. These effects were found to be durable for at least 6 months following a single administration of PCSK9-EE in NHP. To establish a mechanistic relationship between PCSK9-EE’s molecular action and durable PCSK9 silencing, we performed serial liver biopsies in each NHP approximately 2 months apart. Robust CpG methylation at the PCSK9 genomic locus was observed in the first liver biopsy and was comparable to that observed in the second liver biopsy suggesting that PCSK9-EE induced stable CpG methylation in NHP livers. Conclusions We believe PCSK9-EE may offer an effective, safe, and durable approach to suppress hepatic PCSK9 expression and achieve long-lasting reduction in LDL-C. Furthermore, epigenetic editing may hold promise for one-and-done approaches for the treatment of atherosclerotic cardiovascular disease without cutting, nicking, or altering the DNA sequence.

A lineage-specific nascent RNA assay unveils principles of gene regulation in tissue biology.

Gene regulatory mechanisms that modulate RNA Polymerase II activity are difficult to access in mammalian tissues composed of multiple cell lineages. Here, we develop a nascent RNA assay (PReCIS-seq) that measures lineage-specific transcriptionally-engaged Pol II on genes and DNA enhancer elements in intact mouse tissue. By employing keratinocytes as a prototype lineage, we unearth Pol II promoter-recruitment versus pause-release mechanisms operating in adult skin homeostasis. Moreover, we relate active enhancer proximity and transcription factor binding motifs on promoters to Pol II activity and promoter-proximal pausing level. Finally, we find Pol II firing rapidly into elongation on lineage identity genes and highly paused on cellular safeguarding genes in a context-dependent manner. Our work provides a basic platform to investigate mechanistic principles of gene regulation in individual lineages of complex mammalian tissues.