Project description:Genome-wide profiling of open chromatin, histone modifications and ELF3 binding site by ATAC-seq and CUT&Tag assay in ECC4, A99 and DMS53.
Project description:Plants regulate their time to flowering by gathering information from the environment. Photoperiod and temperature are among the most important environmental variables. Suboptimal, but not near-freezing, temperatures regulate flowering through the thermosensory pathway, which overlaps with the autonomous pathway. Here we show that ambient temperature regulates flowering by two genetically distinguishable pathways, one that requires TFL1 and another that requires ELF3. The delay in flowering time observed at lower temperatures was partially suppressed in single elf3 and tfl1 mutants, whereas double elf3 tfl1 mutants were insensitive to temperature. tfl1 mutations abolished the temperature response in cryptochrome mutants that are deficient in photoperiod perception, but not in phyB mutants that have a constitutive photoperiodic response. Contrary to tfl1, elf3 mutations were able to suppress the temperature response in phyB mutants, but not in cryptochrome mutants. The gene expression profile revealed that the tfl1 and elf3 effects are due to the activation of different sets of genes and identified CCA1 and SOC1/AGL20 as being important cross talk points. Finally, genome-wide gene expression analysis strongly suggests a general and complementary role for ELF3 and TFL1 in temperature signalling. Three genotypes, WT (Columbia), elf3-7 and tfl1-1 mutants. Three biological replicates for each condition (genotype X temperature combination). RNA prepared independently for each sample.
Project description:Necrotizing enterocolitis (NEC) is the most frequent life-threatening gastrointestinal disease experienced by premature infant occuring in neonatal intensive care units. NEC is associated with severe intestinal inflammation, intestinal perforation leading to mortality. The challenge for neonatologists is to detect early clinical manifestations of NEC. Therefore, one of the strategies to prevent or treat NEC would be to develop an early diagnostic tool allowing identification of preterm infants either at risk of developing NEC or at the onset of the disease. Illumina’s deep sequencing technology (RNA-seq) was used to establish the gene expression profile between resected ileal healthy preterm (control, n=5) and NEC diagnosed preterm infant (NEC, n=9) and analyzed by IPA Core analysis system. IPA analysis indicated that the most significant functional pathways overrepresented in NEC neonates were associated with innate immune functions, such as altered T and B cell signaling, B cell development, and the role of pattern recognition receptors in recognition of bacteria and viruses. Among genes that were strongly modulated in NEC neonates, we observed a high degree of similarity with those linked to the development of IBD. By comparing gene expression patterns between NEC and Crohn’s disease, we identified several new potential protein targets for helping to predict and/or diagnose NEC in preterm infant. Gene expression profile revealed an uncontrolled innate immune response in the intestine of NEC neonates. Moreover, comparative analysis between NEC and Crohn’s disease evidenced high degree of similarity between these two inflammatory diseases and allowed us to identify several new potential NEC biomarkers.
Project description:Plants regulate their time to flowering by gathering information from the environment. Photoperiod and temperature are among the most important environmental variables. Suboptimal, but not near-freezing, temperatures regulate flowering through the thermosensory pathway, which overlaps with the autonomous pathway. Here we show that ambient temperature regulates flowering by two genetically distinguishable pathways, one that requires TFL1 and another that requires ELF3. The delay in flowering time observed at lower temperatures was partially suppressed in single elf3 and tfl1 mutants, whereas double elf3 tfl1 mutants were insensitive to temperature. tfl1 mutations abolished the temperature response in cryptochrome mutants that are deficient in photoperiod perception, but not in phyB mutants that have a constitutive photoperiodic response. Contrary to tfl1, elf3 mutations were able to suppress the temperature response in phyB mutants, but not in cryptochrome mutants. The gene expression profile revealed that the tfl1 and elf3 effects are due to the activation of different sets of genes and identified CCA1 and SOC1/AGL20 as being important cross talk points. Finally, genome-wide gene expression analysis strongly suggests a general and complementary role for ELF3 and TFL1 in temperature signalling.
Project description:An immortalized normal epithelial cell line of common bile duct origin (HBDEC2 cells) was established. An inducible ELF3-expressing was generated by infection with the retrovial vector pRetroX-TetOne-Puro-ELF3-flag, expressing ELF3 fused to a flag-tag.
Project description:ChIP sequencing of Ehf, Fezf2, Elf3 and Klf4 was performed on medullary thymic epithelial cells to analyze the role of Ehf-, Fezf2-, Elf3- and Klf4-dependent gene regulation in mTECs.
Project description:Background Neuroendcrine carcinoma (NEC) of lung consists of small-cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC). Although long-term outcomes of SCLC patients are usually poor, a few patients achieve long-term survivals. Prognostic factors in SCLC have not been fully elucidated. microRNAs (miRNAs) are known to negatively regulate gene expression and to be relevant to tumorigenesis, tumor classification and prognosis. Methods 63 samples (46 neuroendocrine carcinoma including 35 SCLC and 11 LCNEC, 4 adenocarcinoma, 5 squamous cell carcinoma and 8 normal lung) were obtained through surgical resection. miRNA expression in each sample was comprehensively investigated using miRNA microarray. Results Unsupervised hierarchial clustering classified the all NEC into two subgroups, group 1 and 2. Group 1 was felt into an independent branch that consisted of only NEC, whereas group 2 was included in a branch that contained both NEC and non-NEC. Compared with SCLC of group 1 (SCLC 1), SCLC of group 2 (SCLC 2) was a distinct subgroup with surprisingly good prognosis (0% v 79% survived for 5 years; p=0.007). Serum proGRP level was significantly lower in SCLC 2 than in SCLC 1 despite of similar tumor stages between the two groups. Among 12 cases treated by presurgical chemotherapy, PR:NC ratio was 6:3 in SCLC 1 and 2:1 in SCLC 2, suggesting no apparent difference of chemosensitivity. Histologically, distinction between both groups was difficult. Cox regression analysis demonstrated that three miRNA signature was correlated with survival of SCLC patients. These prognostic miRNAs were differentially expressed between SCLC 1 and 2, which were validated by quantitative real time RT-PCR. Bioinformatics analysis predicted that these miRNAs targeted not only genes involving with tumorigenesis but also genes associated with neuroendocrine function. Conclusion miRNA expression profiling identified a distinct subgroup of SCLC with favorable prognosis. This subgroup might have less neuroendocrine character than usual SCLC. All samples were tissue samples obtained by surgical resection. 35 samples of small-cell lung cancer were investigated. 11 samples of larege cell neuroendocrine cancer, 4 samples of adenocarcinoma, 5 samples of squamous cell carcinoma and 8 samples of normal lung were also included as reference.
Project description:Background Neuroendcrine carcinoma (NEC) of lung consists of small-cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC). Although long-term outcomes of SCLC patients are usually poor, a few patients achieve long-term survivals. Prognostic factors in SCLC have not been fully elucidated. microRNAs (miRNAs) are known to negatively regulate gene expression and to be relevant to tumorigenesis, tumor classification and prognosis. Methods 63 samples (46 neuroendocrine carcinoma including 35 SCLC and 11 LCNEC, 4 adenocarcinoma, 5 squamous cell carcinoma and 8 normal lung) were obtained through surgical resection. miRNA expression in each sample was comprehensively investigated using miRNA microarray. Results Unsupervised hierarchial clustering classified the all NEC into two subgroups, group 1 and 2. Group 1 was felt into an independent branch that consisted of only NEC, whereas group 2 was included in a branch that contained both NEC and non-NEC. Compared with SCLC of group 1 (SCLC 1), SCLC of group 2 (SCLC 2) was a distinct subgroup with surprisingly good prognosis (0% v 79% survived for 5 years; p=0.007). Serum proGRP level was significantly lower in SCLC 2 than in SCLC 1 despite of similar tumor stages between the two groups. Among 12 cases treated by presurgical chemotherapy, PR:NC ratio was 6:3 in SCLC 1 and 2:1 in SCLC 2, suggesting no apparent difference of chemosensitivity. Histologically, distinction between both groups was difficult. Cox regression analysis demonstrated that three miRNA signature was correlated with survival of SCLC patients. These prognostic miRNAs were differentially expressed between SCLC 1 and 2, which were validated by quantitative real time RT-PCR. Bioinformatics analysis predicted that these miRNAs targeted not only genes involving with tumorigenesis but also genes associated with neuroendocrine function. Conclusion miRNA expression profiling identified a distinct subgroup of SCLC with favorable prognosis. This subgroup might have less neuroendocrine character than usual SCLC.
Project description:Temperature is a major environmental variable governing plant growth and development. ELF3 contains a polyglutamine (polyQ) repeat 8–10, embedded within a predicted prion domain (PrD). We find the length of the polyQ repeat correlates with thermal responsiveness. Plants from hotter climates appear to have lost the PrD domain, and these versions of ELF3 are stable at high temperature and lack thermal responsiveness. ELF3 temperature sensitivity is also modulated by the levels of ELF4, indicating that ELF4 can stabilise ELF3 function. This RNA-Seq dataset provides evidence for the hypothetical ELF3 function of temperature sensing .
Project description:In this study, we used miRNA sequencing to analyze and identify possible miRNAs that can be regulated by and ELF3-AS1 in gastric cancer. The results showed that lncRNA ELF3-AS1 knockdown decreased the expression of miR-33a/b and miR-203a. Due to miR-33a/b and miR-203a were able to target SNAI2 expression, and ELF3-AS1 knockdown significantly upregulates SNAI2 expression, we speculated ELF3-AS1 may negatively regulate SNAI2 expression through positively regulating the expression of miR-33a/b and miR-203a in GC.