Transcription Factor Target Research Articles

Maternal high-fat diet orchestrates offspring hepatic cholesterol metabolism via MEF2A hypermethylation-mediated CYP7A1 suppression

BackgroundMaternal overnutrition, prevalent among women of childbearing age, significantly impacts offspring health throughout their lifetime. While DNA methylation of metabolic-related genes mediates the transmission of detrimental effects from maternal high-fat diet (HFD), its role in programming hepatic cholesterol metabolism in offspring, particularly during weaning, remains elusive.MethodsFemale C57BL/6 J mice were administered a HFD or control diet, before and during, gestation and lactation. Hepatic cholesterol metabolism genes in the liver of offspring were evaluated in terms of their expression. The potential regulator of cholesterol metabolism in the offspring’s liver was identified, and the function of the targeted transcription factor was evaluated through in vitro experiments. The methylation level of the target transcription factor was assessed using the MassARRAY EpiTYPER platform. To determine whether transcription factor expression is influenced by DNA methylation, in vitro experiments were performed using 5-azacitidine and Lucia luciferase activity assays.ResultsHere, we demonstrate that maternal HFD results in higher body weight and hypercholesterolemia in the offspring as early as weaning age. Maternal HFD feeding exacerbates hepatic cholesterol accumulation in offspring primarily by inhibiting cholesterol elimination to bile acids, with a significant decrease of hepatic cholesterol 7α-hydroxylase (CYP7A1). RNA-seq analysis identified myocyte enhancer factor 2A (MEF2A) as a key transcription factor in the offspring liver, which was significantly downregulated in offspring of HFD-fed dams. MEF2A knockdown led to CYP7A1 downregulation and lipid accumulation in HepG2 cells, while MEF2A overexpression reversed this effect. Dual luciferase reporter assays confirmed direct modulation of CYP7A1 transcription by MEF2A. Furthermore, the reduced MEF2A expression was attributed to DNA hypermethylation in the Mef2a promoter region. This epigenetic modification manifested as early as the fetal stage.ConclusionsThis study provides novel insights into how maternal HFD orchestrates hepatic cholesterol metabolism via MEF2A hypermethylation-mediated CYP7A1 suppression in offspring at weaning.

Identification of Oxidative Stress-Related Genes in Hyperlipidemia Based on Bioinformatic Analysis.

Oxidative stress(OS) is thought to mediate the processes of glycolipid disorders of a number of metabolic diseases and recent data suggest that OS may be involved in the pathophysiology of hyperlipidemia. The gene expression profiles of hyperlipidemia samples were downloaded from the Gene Expression Omnibus(GEO) database. Oxidative stress-related genes (ORGs) was the intersection of all valid data of discovery dataset and the ORGs in Genecards. The Differentially expressed genes(DEGs) between hyperlipidemia and control samples were obtained via "limma" R package, and differentially expressed oxidative stress-related genes (DEORGs) associated with hyperlipidemia were screened via OS gene sets. Gene Ontology (GO) and Kyoto encyclopaedia of Genes and Genomes (KEGG) enrichment analyses were performed to study the biological function of DEORGs, and protein-protein interaction(PPI) network analysis was conducted to screen hub genes. Then we constructed microRNA(miRNA), transcription factor (TF) and drug component targets network to explain the regulatory mechanism of ORGs in hyperlipidemia. After screening and evaluating we took GSE1010 as the discovery dataset and the GSE13985 as the validation set. There were 395 ORGs and 14 DEORGs retained from the hyperlipidemia. GO and KEGG results showed that DEORGs were mostly related to OS and lipid metabolism. Then, we used miRNA, TF, and drug component targets network to reveal the regulatory mechanism of hub genes. Finally, we verified expression of DEGs and hub gene in validation set. Our study has further confirmed the relationships between OS and hyperlipidemia, providing oxidative stress-related hub genes with possible function analysis and pathways summarized. These molecules might play a crucial role in the progression of hyperlipidemia and serve as potential biomarkers and therapeutic targets, giving us additional insight into the genes and the mechanism linking the OS system and metabolic disorders. We have not only proved hyperlipidemia is associated with OS but also gave foundation and reference for future researches.

Identification of key genes and drug recommendations in diffuse large B-cell lymphoma based on analysis of glutathione-related genes.

Various malignancies can be efficiently combated by focusing on glutathione. It is unclear how glutathione-related genes link to diffuse large B-cell lymphoma (DLBCL). Clinical information was gathered from DLBCL patients, and differences in glutathione-related differentially expressed genes (DEGs) between DLBCL and healthy groups were found. Enrichment analysis was run on the DEGs associated with glutathione. We discovered hub genes in glutathione, confirmed hub genes' capacity for diagnosis and function prediction, and estimated drug sensitivity. Immune microenvironmental variations between healthy and DLBCL people were assessed, and hub genes for transcription factor (TF) targeting and miRNAs were found. The glutathione-related DEGs were linked to biological processes such as response to oxidative stress and response to xenobiotic stimulus, according to enrichment analysis. Out of DEGs associated with glutathione, six hub genes were chosen. In the DLBCL population, there was a notable upregulation of the six hub genes. All the genes' AUC values in the diagnostic ability category were more than 0.7, showing strong hub gene diagnostic capacity. The DLBCL population had a high level of T cell infiltration, according to immune infiltration analysis techniques. Similar activities, such as the cell cycle G2/M phase transition and the negative control of organelle formation, are demonstrated by gene function prediction for Hub. According to drug sensitivity prediction, there was a favorable link between KPNA2 with Pracinostat, BRCA1 with B-7100, and LEE-011. The gene KPNA2 was shown to be concurrently targeted by many miRNAs and TFs, according to the miRNA-gene-TF interaction network. The relationship between DLBCL and glutathione-related genes was uncovered by our research, and six glutathione genes were linked to DLBCL. These genes might be used as diagnostic biomarkers or targets for treatment for DLBCL patients.

Transcriptome profiling of maize transcription factor mutants to probe gene regulatory network predictions.

Transcription factors (TFs) play important roles in regulation of gene expression and phenotype. A variety of approaches have been utilized to develop gene-regulatory networks (GRNs) to predict the regulatory targets for each TF, such as yeast-one-hybrid (Y1H) screens and gene co-expression network (GCN) analysis. Here we identified potential TF targets and used a reverse genetics approach to test the predictions of several GRNs in maize. Loss-of-function mutant alleles were isolated for 22 maize TFs. These mutants did not exhibit obvious morphological phenotypes. However, transcriptomic profiling identified differentially expressed genes in each of the mutant genotypes, and targeted metabolic profiling indicated variable phenolic accumulation in some mutants. An analysis of expression levels for predicted target genes based on Y1H screens identified a small subset of predicted targets that exhibit altered expression levels. The analysis of predicted targets from GCN-based methods found significant enrichments for prediction sets of some TFs, but most predicted targets did not exhibit altered expression. This could result from false-positive GCN predictions, a TF with a secondary regulatory role resulting in minor effects on gene regulation, or redundant gene regulation by other TFs. Collectively, these findings suggest that loss-of-function for single uncharacterized TFs might have limited phenotypic impacts but can reveal subsets of GRN predicted targets with altered expression.

Transcriptional regulators ensuring specific gene expression and decision-making at high TGFβ doses.

TGFβ-signaling regulates cancer progression by controlling cell division, migration, and death. These outcomes are mediated by gene expression changes, but the mechanisms of decision-making toward specific fates remain unclear. Here, we combine SMAD transcription factor imaging, genome-wide RNA sequencing, and morphological assays to quantitatively link signaling, gene expression, and fate decisions in mammary epithelial cells. Fitting genome-wide kinetic models to our time-resolved data, we find that most of the TGFβ target genes can be explained as direct targets of SMAD transcription factors, whereas the remainder show signs of complex regulation, involving delayed regulation and strong amplification at high TGFβ doses. Knockdown experiments followed by global RNA sequencing revealed transcription factors interacting with SMADs in feedforward loops to control delayed and dose-discriminating target genes, thereby reinforcing the specific epithelial-to-mesenchymal transition at high TGFβ doses. We identified early repressors, preventing premature activation, and a late activator, boosting gene expression responses for a sufficiently strong TGFβ stimulus. Taken together, we present a global view of TGFβ-dependent gene regulation and describe specificity mechanisms reinforcing cellular decision-making.

STEM-09. A GROUP 3 MEDULLOBLASTOMA STEM CELL PROGRAM IS MAINTAINED BY OTX2-MEDIATED ALTERNATIVE SPLICING

Abstract Group 3 medulloblastomas (MBs) are highly metastatic pediatric brain tumors with limited therapeutic options. The transcription factor orthodenticle homeobox 2 (OTX2) is a known driver and molecular hallmark of Group 3 MB. We previously demonstrated that OTX2 regulates Group 3 MB cell fate decisions that favor self-renewal or stemness and the retention of a primitive cerebellar rhombic lip signature. Here, we show that OTX2-regulated alternative splicing (AS) is a major driver of Group 3 MB progression. Surprisingly, the functional role of post-transcriptional events, such as AS, in Group 3 MB development has never been explored. This gene regulatory layer represents an untapped source of therapeutic targets. Using a combination of TurboID, RNA-sequencing and single cell RNA-seq, we characterized the Group 3 primary MB AS landscape with a focus on genes that control MB stem cells. OTX2 associates with the multimeric Large Assembly of Splicing Regulators (LASR) complex through protein-protein interactions and can directly or indirectly bind RNA. Together, OTX2 and LASR complex proteins oversee a pro-tumorigenic splicing program that is mirrored in the human cerebellar rhombic lip origins and is associated with Group 3γ MBs that exhibit the worst prognosis. Among our core set of OTX2-regulated spliced genes, periphilin 1 (PPHLN1) is expressed in the most primitive cerebellar rhombic lip stem cells, and mimicking PPHLN1 AS by pre-treating cells with a splice blocking antisense morpholino reduces tumor growth while increasing survival in vivo. We propose that OTX2-mediated AS is a key determinant of cell fate decisions favoring the maintenance of the stem cell state. Targeting transcription factors like OTX2 is notoriously difficult; thus, our work offers fresh opportunities to exploit MB-specific AS events therapeutically to abrogate tumor progression.

Understanding energy fluctuation during the transition state: The role of AbrB in Bacillus licheniformis

BackgroundLimited research has been conducted on energy fluctuation during the transition state, despite the critical role of energy supply in microbial physiological metabolism.ResultsThis study aimed to investigate the regulatory function of transition state transcription factor AbrB on energy metabolism in Bacillus licheniformis WX-02. Firstly, the deletion of abrB was found to prolong the cell generation time, significantly reducing the intercellular ATP concentration and NADH/NAD+ ratio at the early stage. Subsequently, various target genes and transcription factors regulated by AbrB were identified through in vitro verification assays. Specifically, AbrB was shown to modulate energy metabolism by directly regulating the expression of genes pyk and pgk in substrate-level phosphorylation, as well as genes narK and narGHIJ associated with nitrate respiration. In terms of oxidative phosphorylation, AbrB not only directly regulated ATP generation genes, including cyd, atpB, hmp, ndh, qoxA and sdhC, but also influenced the expression of NAD-dependent enzymes and intracellular NADH/NAD+ ratio. Additionally, AbrB positively affected the expression of transcription factors CcpN, Fnr, Rex, and ResD involved in energy supply, while negatively affected the regulator CcpA. Overall, this study found that AbrB positively regulates both substrate-level phosphorylation and oxidative phosphorylation, while negatively regulating nitrate respiration.ConclusionsThis study proposes a comprehensive regulatory network of AbrB on energy metabolism in Bacillus, expanding the understanding of regulatory mechanisms of AbrB and elucidating energy fluctuations during the transition state.

Integrated Analysis of microRNAs and Transcription Factor Targets in Floral Transition of Pleioblastus pygmaeus.

Bamboo plants have erratic flowering habits with a long vegetative growth and an uncertain flowering cycle. The process of floral transition has always been one of the hot and intriguing topics in bamboo developmental biology. As master modulators of gene expression at the post-transcriptional level, miRNAs play a crucial role in regulating reproductive growth, especially in floral transition of flowering plants. Pleioblastus pygmaeus is a kind of excellent ground cover ornamental bamboo species. In this study, we performed miRNA expression profiling of the shoot buds and flower buds from the bamboo species, to investigate flowering-related miRNAs in bamboo plants. A total of 179 mature miRNAs were identified from P. pygmaeus, including 120 known miRNAs and 59 novel miRNAs, of which 96 (61 known miRNAs and 35 novel miRNAs) were differentially expressed in the shoots at different growth stages. Based on target gene (TG) prediction, a total of 2099 transcription factors (TFs) were annotated to be TGs of the 96 differentially expressed miRNAs (DEMs), corresponding to 839 recordings of DEM-TF pairs. In addition, we identified 23 known DEMs involved in flowering and six known miRNAs related to floral organ development based on previous reports. Among these, there were 11 significantly differentially expressed miRNAs, with 124 TF targets corresponding to 132 DEM-TF pairs in P. pygmaeus. In particular, we focused on the identification of miR156a-SPL (SQUAMOSA Promoter-Binding protein-Like) modules in the age pathway, which are well-known to regulate the vegetative-to-reproductive phase transition in flowering plants. A total of 36 TF targets of miR156a were identified, among which there were 11 SPLs. The Dual-Luciferase transient expression assay indicated miR156a mediated the repression of the PpSPL targets in P. pygmaeus. The integrated analysis of miRNAs and TGs at genome scale in this study provides insight into the essential roles of individual miRNAs in modulating flowering transition through regulating TF targets in bamboo plants.

PTPN2 dephosphorylates STAT3 to ameliorate anesthesia-induced cognitive decline in aged rats by altering the microglial phenotype and inhibiting inflammation

Perioperative neurocognitive disorders (PNDs) are common neurological complications after anesthesia in the elderly. Protein tyrosine phosphatase non-receptor type 2 (PTPN2) regulates signal transducer and activator of transcription protein 3 (STAT3) signaling to control inflammation in certain organs, but its role in PNDs remains unknown. Herein, we constructed a PND model in 18-month-old rats by treating them with sevoflurane. PND rats developed neuroinflammation, along with a significant decrease in PTPN2 expression and a rise in STAT3 phosphorylation in the hippocampus. Ptpn2 overexpression alleviated the behavioral disorders of PND rats, ameliorated neuronal injury, inhibited neuroinflammation, inflammasome activation, microglial activation, and microglial phenotype switching. Similar results were observed in sevoflurane-treated HMC3 microglia with PTPN2 overexpression, while PTPN2 silencing showed the opposite results. Additionally, PTPN2 seems to be a target of T-box transcription factor 2 (TBX2). These results contribute to the evidence supporting the idea that PTPN2 is a regulatory factor in PND progression.

MiRNAs targeted transcription factors HaGATAa/b to mediate the post-mating switch in Helicoverpa armigera female reproductive behavior.

The process of mating induces significant shifts in female reproductive behavior across various species, with the postmating behavioral switch playing a crucial role in insect reproduction. Previous studies have demonstrated the regulatory role of GATA transcription factors in vitellogenin transcription and egg formation in insects, while miRNAs have been implicated in modulating GATA expression and insect reproductive processes. Nevertheless, the precise regulatory mechanism underlying the interaction between miRNAs and GATA transcription factors in the postmating behavioral switch remains largely unexplored. In this study, we identified two key GATA transcription factors, HaGATAa and HaGATAb, as central players in orchestrating the postmating behavior of H. armigera using transcriptomics and RNAi technologies. HaGATAa was found to act upstream of HaGATAb, regulating its expression. Furthermore, we observed a postmating increase in miR-282 levels in females, targeting HaGATAa to regulate egg-laying capacity. Conversely, the decreased expression of miR-2 following mating functioned as a negative feedback regulator, influencing the expression of HaGATAb and thus impacting the postmating behavior of female individuals. Our results revealed a signal-mediated feedback regulatory mechanism that sustains female postmating behavior in H. armigera. These findings not only establish a strong basis for understanding the postmating behavior mechanisms in female moths, but also offer valuable insights for identifying potential targets for pest control strategies. © 2024 Society of Chemical Industry.

On the identification of differentially-active transcription factors from ATAC-seq data.

ATAC-seq has emerged as a rich epigenome profiling technique, and is commonly used to identify Transcription Factors (TFs) underlying given phenomena. A number of methods can be used to identify differentially-active TFs through the accessibility of their DNA-binding motif, however little is known on the best approaches for doing so. Here we benchmark several such methods using a combination of curated datasets with various forms of short-term perturbations on known TFs, as well as semi-simulations. We include both methods specifically designed for this type of data as well as some that can be repurposed for it. We also investigate variations to these methods, and identify three particularly promising approaches (a chromVAR-limma workflow with critical adjustments, monaLisa and a combination of GC smooth quantile normalization and multivariate modeling). We further investigate the specific use of nucleosome-free fragments, the combination of top methods, and the impact of technical variation. Finally, we illustrate the use of the top methods on a novel dataset to characterize the impact on DNA accessibility of TRAnscription Factor TArgeting Chimeras (TRAFTAC), which can deplete TFs-in our case NFkB-at the protein level.

Transcription factor target acquired

Transcription factor target acquired

MECOM Locus classical transcript isoforms affect tumor immune microenvironment and different targets in ovarian cancer

The MECOM locus is a gene frequently amplified in high-grade serous ovarian carcinoma (HGSOC). Nevertheless, the body of research examining the associations among MECOM transcripts, patient prognosis, and their role in modulating the tumor immune microenvironment (TIME) remains sparse, particularly in large cohorts. This study assessed the expression of MECOM transcripts in 352 HGSOC patients and 88 normal ovarian tissues from the combined GTEx/TCGA database. Using resources such as the UCSC Genome Browser, Ensembl, and NextProt, two transcripts corresponding to classical protein isoforms from MECOM were identified. Cox proportional hazards regression analysis, Kaplan-Meier survival curves, and a comprehensive TIME evaluation algorithm were employed to elucidate the connections between the expression levels of these transcripts and both patient prognosis and TIME status. Chromatin Immunoprecipitation sequencing (ChIP-seq) data for the two protein isoforms, as well as RNA sequencing data post-targeted silencing, were analyzed to identify potential regulatory targets of the different transcription factors. Elevated expression of the MECOM isoform transcripts was correlated with poorer survival in HGSOC patients, potentially through the modulation of cancer-associated fibroblasts (CAFs) and immunosuppressive cell populations. In contrast, higher levels of EVI1 isoform transcripts were linked to enhanced survival, possibly due to the regulation of CD8+ T cells, macrophages, and a reduction in the expression of JUN protein, or its DNA-binding activity on downstream genes. Diverse protein isoforms derived from MECOM were found to differentially affect the survival and tumor development in ovarian cancer patients through specific mechanisms. Investigating the molecular mechanisms underlying disease pathogenesis and identifying potential drug target proteins at the level of splice variant isoforms were deemed crucial.

Rise and SINE: roles of transcription factors and retrotransposons in zygotic genome activation.

In sexually reproducing organisms, life begins with the fusion of transcriptionally silent gametes, the oocyte and sperm. Although initiation of transcription in the embryo, known as zygotic genome activation (ZGA), is universally required for development, the transcription factors regulating this process are poorly conserved. In this Perspective, we discuss recent insights into the mechanisms of ZGA in totipotent mammalian embryos, namely ZGA regulation by several transcription factors, including by orphan nuclear receptors (OrphNRs) such as the pioneer transcription factor NR5A2, and by factors of the DUX, TPRX and OBOX families. We performed a meta-analysis and compiled a list of pan-ZGA genes, and found that most of these genes are indeed targets of the above transcription factors. Remarkably, more than a third of these ZGA genes appear to be regulated both by OrphNRs such as NR5A2 and by OBOX proteins, whose motifs co-occur in SINE B1 retrotransposable elements, which are enriched near ZGA genes. We propose that ZGA in mice is activated by recruitment of multiple transcription factors to SINE B1 elements that function as enhancers, and discuss a potential relevance of this mechanism to Alu retrotransposable elements in human ZGA.

High expression of transcription factor EGR1 is associated with postoperative muscle atrophy in patients with knee osteoarthritis undergoing total knee arthroplasty

BackgroundMuscle atrophy is a typical affliction in patients affected by knee Osteoarthritis (KOA). This study aimed to examine the potential pathogenesis and biomarkers that coalesce to induce muscle atrophy, primarily through the utilization of bioinformatics analysis.MethodsTwo distinct public datasets of osteoarthritis and muscle atrophy (GSE82107 and GSE205431) were subjected to differential gene expression analysis and gene set enrichment analysis (GSEA) to probe for common differentially expressed genes (DEGs) and conduct transcription factor (TF) enrichment analysis from such genes. Venn diagrams were used to identify the target TF, followed by the construction of a protein-protein interaction (PPI) network of the common DEGs governed by the target TF. Hub genes were determined through the CytoHubba plug-in whilst their biological functions were assessed using GSEA analysis in the GTEx database. To validate the study, reverse transcriptase real-time quantitative polymerase chain reaction (qRT-PCR), enzyme-linked immunosorbent assay (ELISA), and Flow Cytometry techniques were employed.ResultsA total of 138 common DEGs of osteoarthritis and muscle atrophy were identified, with 16 TFs exhibiting notable expression patterns in both datasets. Venn diagram analysis identified early growth response gene-1 (EGR1) as the target TF, enriched in critical pathways such as epithelial mesenchymal transition, tumor necrosis factor-alpha signaling NF-κB, and inflammatory response. PPI analysis revealed five hub genes, including EGR1, FOS, FOSB, KLF2, and JUNB. The reliability of EGR1 was confirmed by validation testing, corroborating bioinformatics analysis trends.ConclusionsEGR1, FOS, FOSB, KLF2, and JUNB are intricately involved in muscle atrophy development. High EGR1 expression directly regulated these hub genes, significantly influencing postoperative muscle atrophy progression in KOA patients.

Gene Regulatory Network Analysis of Decidual Stromal Cells and Natural Killer Cells.

Human reproductive success relies on the proper differentiation of the uterine endometrium to facilitate implantation, formation of the placenta, and pregnancy. This process involves two critical types of decidual uterine cells: endometrial/decidual stromal cells (dS) and uterine/decidual natural killer (dNK) cells. To better understand the transcription factors governing the in vivo functions of these cells, we analyzed single-cell transcriptomics data from first-trimester terminations of pregnancy, and for the first time conducted gene regulatory network analysis of dS and dNK cell subpopulations. Our analysis revealed stromal cell populations that corresponded to previously described in vitro decidualized cells and senescent decidual cells. We discovered new decidualization driving transcription factors of stromal cells for early pregnancy, including DDIT3 and BRF2, which regulate oxidative stress protection. For dNK cells, we identified transcription factors involved in the immunotolerant (dNK1) subpopulation, including IRX3 and RELB, which repress the NFKB pathway. In contrast, for the less immunotolerant (dNK3) population we predicted TBX21 (T-bet) and IRF2-mediated upregulation of the interferon pathway. To determine the clinical relevance of our findings, we tested the overrepresentation of the predicted transcription factors target genes among cell type-specific regulated genes from pregnancy disorders, such as recurrent pregnancy loss and preeclampsia. We observed that the predicted decidualized stromal and dNK1-specific transcription factor target genes were enriched with the genes downregulated in pregnancy disorders, whereas the predicted dNK3-specific targets were enriched with genes upregulated in pregnancy disorders. Our findings emphasize the importance of stress tolerance pathways in stromal cell decidualization and immunotolerance promoting regulators in dNK differentiation.

Regulatory network analysis reveals gene-metabolite relationships in pear fruit treated with methyl jasmonate

The economic value of pear is determined by its intrinsic qualities, which are influenced by metabolites produced during the ripening process. Methyl jasmonate (MeJA), a hormone, plays an important role in plant metabolism. To date, few studies have investigated the molecular mechanism underlying the changes in metabolic pathways related to the internal quality of pear fruit after MeJA treatment. In this study, ultrahigh-performance liquid chromatography‒Q Exactive Orbitrap mass spectrometry (UHPLC‒QE‒MS) was used to determine the changes in metabolite contents in pear after MeJA treatment. MeJA treatment primarily activated carbohydrate metabolism and amino acid metabolism pathways. Through combined analysis of UHPLC‒QE‒MS data and whole-transcriptome data, the abovementioned pathways and each metabolite were analysed separately, and competitive endogenous RNA (ceRNA) and microRNA–transcription factor–target (miRNA–TF–target) regulatory networks were constructed. The core nodes of three genes (PEA, Pbr022732.1; GAA, Pbr035655.1; and miR8033-x) and two genes (SDS, Pbr031708.1; and novel-m6796-3p) were associated with the carbohydrate metabolism and amino acid metabolism pathways, respectively. The core mRNA nodes TCONS_00048038 and Pbr019584.1, the core miRNA node miR4993-x, the core lncRNA node TCONS_0004356, the core circRNA node novel_circ_001967 and the core transcription factor node TSO1 (Pbr025407.1) were identified via separate metabolite analyses. These findings elucidate the changes in metabolites related to fruit quality in ‘Nanguo’ pear and the relationships between the metabolites and genes, reveal the molecular mechanism underlying the response of MeJA treatment in pear fruit, and provide a theoretical basis for improving the internal quality of ‘Nanguo’ pear.

Identification of Grape Laccase Genes and Their Potential Role in Secondary Metabolite Synthesis.

Laccase, a copper-containing oxidoreductase, has close links with secondary metabolite biosynthesis in plants. Its activity can affect the synthesis and accumulation of secondary metabolites, thereby influencing plant growth, development, and stress resistance. This study aims to identify the grape laccases (VviLAC) gene family members in grape (Vitis vinifera L.) and explore the transcriptional regulatory network in berry development. Here, 115 VviLACs were identified and divided into seven (Type I-VII) classes. These were distributed on 17 chromosomes and out of 47 VviLACs on chromosome 18, 34 (72.34%) were involved in tandem duplication events. VviLAC1, VviLAC2, VviLAC3, and VviLAC62 were highly expressed before fruit color development, while VviLAC4, VviLAC12, VviLAC16, VviLAC18, VviLAC20, VviLAC53, VviLAC60 and VviLAC105 were highly expressed after fruit color transformation. Notably, VviLAC105 showed a significant positive correlation with important metabolites including resveratrol, resveratrol dimer, and peonidin-3-glucoside. Analysis of the transcriptional regulatory network predicted that the 12 different transcription factors target VviLACs genes. Specifically, WRKY and ERF were identified as potential transcriptional regulatory factors for VviLAC105, while Dof and MYB were identified as potential transcriptional regulatory factors for VviLAC51. This study identifies and provides basic information on the grape LAC gene family members and, in combination with transcriptome and metabolome data, predicts the upstream transcriptional regulatory network of VviLACs.

Definition of regulatory elements and transcription factors controlling porcine immune cell gene expression at single cell resolution using single nucleus ATAC-seq

The transcriptome of porcine peripheral blood mononuclear cells (PBMC) at single cell (sc) resolution is well described, but little is understood about the cis-regulatory mechanism behind scPBMC gene expression. Here, we profiled the open chromatin landscape of porcine PBMC that define cis-regulatory elements and mechanism contributing to the transcription using single nucleus ATAC sequencing (snATAC-seq). Approximately 22 % of the identified peaks overlapped with annotated transcription start sites (TSS). Using clustering based on open chromatin pattern similarity, we demonstrate that cell type annotations using snATAC-seq are highly concordant to that reported for sc RNA sequencing (scRNA-seq). The differentially accessible peaks (DAPs) for each cell type were characterized and the pattern of accessibility of the DAPs near cell type markers across cell types was similar to that of the average gene expression level of corresponding marker genes. Additionally, we found that peaks identified in snATAC-seq have the potential power to predict the cell type specific transcription starting site (TSS). We identified both transcription factors (TFs) whose binding motif were enriched in cell type DAPs of multiple cell types and cell type specific TFs by conducting transcription factor binding motif (TFBM) analysis. Furthermore, we identified the putative enhancer or promoter regions bound by TFs for each differentially expressed gene (DEG) with a DAP that overlapped with its TSS by generating cis-co-accessibility networks (CCAN). To predict the regulators of such DEGs, TFBM analysis was performed for each CCAN. The regulator TF-target DEG pairs predicted in this way were largely consistent with the results reported in the ENCODE Transcription Factor Targets Dataset (TFTD). This snATAC-seq approach provides insights into the regulation of chromatin accessibility landscape of porcine PBMCs and enables discovery of TFs predicted to control DEG through binding regulatory elements whose chromatin accessibility correlates with the DEG promoter region.

Similarities and distinctions in the activation of the Candida glabrata Pdr1 regulatory pathway by azole and non-azole drugs.

Incidences of fluconazole (FLC) resistance among Candida glabrata clinical isolates is a growing issue in clinics. The pleiotropic drug response (PDR) network in C. glabrata confers azole resistance and is defined primarily by the Zn2Cys6 zinc cluster-containing transcription factor Pdr1 and target genes such as CDR1, that encodes an ATP-binding cassette transporter protein thought to act as a FLC efflux pump. Mutations in the PDR1 gene that render the transcription factor hyperactive are the most common cause of fluconazole resistance among clinical isolates. The phenothiazine class drug fluphenazine and a molecular derivative, CWHM-974, which both exhibit antifungal properties, have been shown to induce the expression of Cdr1 in Candida spp. We have used a firefly luciferase reporter gene driven by the CDR1 promoter to demonstrate two distinct patterns of CDR1 promoter activation kinetics: gradual promoter activation kinetics that occur in response to ergosterol limitations imposed by exposure to azole and polyene class antifungals and a robust and rapid CDR1 induction occurring in response to the stress imposed by fluphenazines. We can attribute these different patterns of CDR1 induction as proceeding through the promoter region of this gene since this is the only segment of the gene included in the luciferase reporter construct. Genetic analysis indicates that the signaling pathways responsible for phenothiazine and azole induction of CDR1 overlap but are not identical. The short time course of phenothiazine induction suggests that these compounds may act more directly on the Pdr1 protein to stimulate its activity.