scholarly journals A MYC2/MYC3/MYC4-dependent transcription factor network regulates water spray-responsive gene expression and jasmonate levels

2019 ◽  
Vol 116 (46) ◽  
pp. 23345-23356 ◽  
Author(s):  
Alex Van Moerkercke ◽  
Owen Duncan ◽  
Mark Zander ◽  
Jan Šimura ◽  
Martyna Broda ◽  
...  

Mechanical stimuli, such as wind, rain, and touch affect plant development, growth, pest resistance, and ultimately reproductive success. Using water spray to simulate rain, we demonstrate that jasmonic acid (JA) signaling plays a key role in early gene-expression changes, well before it leads to developmental changes in flowering and plant architecture. The JA-activated transcription factors MYC2/MYC3/MYC4 modulate transiently induced expression of 266 genes, most of which peak within 30 min, and control 52% of genes induced >100-fold. Chromatin immunoprecipitation-sequencing analysis indicates that MYC2 dynamically binds >1,300 promoters and trans-activation assays show that MYC2 activates these promoters. By mining our multiomic datasets, we identified a core MYC2/MYC3/MYC4-dependent “regulon” of 82 genes containing many previously unknown MYC2 targets, including transcription factors bHLH19 and ERF109. bHLH19 can in turn directly activate the ORA47 promoter, indicating that MYC2/MYC3/MYC4 initiate a hierarchical network of downstream transcription factors. Finally, we also reveal that rapid water spray-induced accumulation of JA and JA-isoleucine is directly controlled by MYC2/MYC3/MYC4 through a positive amplification loop that regulates JA-biosynthesis genes.

Author(s):  
Meijiang Gao ◽  
Marina Veil ◽  
Marcus Rosenblatt ◽  
Anna Gebhard ◽  
Helge Hass ◽  
...  

AbstractAwakening of zygotic transcription in animal embryos relies on maternal pioneer transcription factors. The interplay of global and specific functions of these proteins remains poorly understood. Here, we analyzed nucleosome positioning, H3K27 acetylation, transcription, and gastrulation rates in zebrafish embryos lacking pluripotency factors Pou5f3 and Sox19b. We show that the bulk transcriptional onset does not require Sox19b and Pou5f3, but is sensitive to their balance. Pou5f3 docks H3K27ac on the enhancers of genes involved in gastrulation and ventral fate specification. Sox19b facilitates Pou5f3 access to one-third of these enhancers. The genes regulating mesendodermal and dorsal fates are primed for activation independently on Pou5f3 and Sox19b. Strikingly, the loss of either factor results in activation of silent enhancers; simultaneous loss of both leads to premature expression of differentiation genes. Our results uncover how independent activities of maternal Pou5f3 and Sox19b add up or antagonize to determine the early gene expression repertoire.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3562-3562
Author(s):  
Karel Fišer ◽  
Lucie Slámová ◽  
Alena Dobiášová ◽  
Júlia Starková ◽  
Eva Froňková ◽  
...  

Abstract We identified a subset of BCP-ALL with switch towards the monocytic lineage within the first month of treatment (swALL)[Slámová et al Leukemia 2014]. During the switch cells gradually lose CD19 and CD34 expression and acquire CD33 and CD14 positivity. We proved clonal relatedness of switched monocytic blasts with the diagnostic leukemic cells based on identical Ig-TCR rearrangements. SwALL cases are not associated with MLL or BCR/ABL1 aberrancies and lack any known genetic markers of lineage ambiguity (detected by FISH or MLPA). We analyzed transcriptomes of swALL samples at diagnosis (n=4) and at d8 (n=4) where the immunophenotypic switching was already apparent as well as control BCP-ALL (n=4). RNA was isolated form either FACS sorted cells or whole BM when blasts constituted >80% of cells. For RNA-Seq we used Illumina HiSeq 2000 paired-end or single end sequencing. Raw sequencing data were analyzed using adapted protocol from Anders at al [Anders et al Nature Protocols 2013] and custom scripts. For methylome analysis we used Enhanced Reduced Representation Bisulfite Sequencing (ERRBS)[Akalin et al PLoS Genetics 2012]. ERRBS quantitatively measures DNA methylation at ~3M CpGs genome-wide. Samples from swALL at diagnosis (n=7) and at d8 (n=4) and control BCP-ALL (n=4) were processed. Analysis was performed according to [Akalin et al Genome Biology 2012] and followed with custom analysis in R statistical language. Comparison (generalized exact binomial test) of transcriptomes of B-lineage blasts from diagnosis between swALLs and control BCP-ALLs revealed a number of differentially expressed genes. Among 300 most significantly differentially expressed were KLF4, CEBPD, CLEC12A and CLEC12B (upregulated in swALL) and ANXA5, VPREB1, CD9 and IGHG3 (downregulated in swALL). Hierarchical clustering separated not only swALL and control BCP-ALL, but also swALL cells before and during the monocytic switch. Changes in gene expression during lineage switch included downregulation of ITGA6, Id2, EBF1, CD19, CD34, FLT3, MYB, CD79a, BCR, PAX5, GATA3 and TCF3 genes and upregulation of S100A10, AIF1, CD14, CD33, LGALS1, RNF130 and MNDA. When comparing all three cell types (swALL B cell and monocytic blasts and control BCP-ALL blasts) we concentrated on 1) immunophenotype switch markers and 2) lineage related transcription factors (TF): 1) Both markers typical for B cell blasts (CD19, CD34) decreased during the switch. However while CD19 was expressed in swALL at diagnosis at same levels as in control BCP-ALL, CD34 was overexpressed in swALL compared to BCP-ALL at diagnosis. Both monocytic markers (CD33, CD14) increased their expression during the switch. CD14 showed no difference between swALL and control BCP-ALL at diagnosis. However CD33 was interestingly upregulated in swALL already at diagnosis and continued to rise during the switch. SwALL had therefore deregulated expression of lineage commitment markers already at diagnosis favoring stemness marker CD34 and myeloid marker CD33. 2) B lineage commitment related TFs (EBF1, TCF3, PAX5) were expressed in B lineage blasts in both swALL and control BCP-ALL. However they were all downregulated during the switch. On the other hand myeloid lineage related transcription factor CEBPA is overexpressed in diagnostic B lineage blasts in swALL compared to control BCP-ALL cases. Similarly CEBPD is overexpressed in swALL and its expression further rises during the switch. Other hematopoietic TFs upregulated in swALL cases include KLF4, NANOG and GATA3. To confirm some of the epigenetic markers of swALL cases (demethylation of CEBPA promoter) and to widen epigenetic screening we used ERRBS. While some of the upregulated genes had expectedly hypomethylated promoters in swALL (CEBPA, GATA3) other genes (TCF3, PAX5) had demethylated promoters in all cases. While the whole DNA methylation picture is still a challenge to draw both omics method could clearly separate swALL cases from control BCP-ALL using principal component analysis. In summary we show that immunophenotypic shift is associated with gene expression changes of surface markers, lineage specific transcription factors and other genes. Some of the genes have altered expression already at diagnosis. Expression of some key lineage genes is differentially regulated by DNA methylation. Supported by: GAUK 914613, GAČR P301/10/1877, UNCE 204012, IGA NT13462-4 Disclosures No relevant conflicts of interest to declare.


F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 372 ◽  
Author(s):  
Delasa Aghamirzaie ◽  
Karthik Raja Velmurugan ◽  
Shuchi Wu ◽  
Doaa Altarawy ◽  
Lenwood S. Heath ◽  
...  

Motivation: The increasing availability of chromatin immunoprecipitation sequencing (ChIP-Seq) data enables us to learn more about the action of transcription factors in the regulation of gene expression. Even though in vivo transcriptional regulation often involves the concerted action of more than one transcription factor, the format of each individual ChIP-Seq dataset usually represents the action of a single transcription factor. Therefore, a relational database in which available ChIP-Seq datasets are curated is essential. Results: We present Expresso (database and webserver) as a tool for the collection and integration of available Arabidopsis ChIP-Seq peak data, which in turn can be linked to a user’s gene expression data. Known target genes of transcription factors were identified by motif analysis of publicly available GEO ChIP-Seq data sets. Expresso currently provides three services: 1) Identification of target genes of a given transcription factor; 2) Identification of transcription factors that regulate a gene of interest; 3) Computation of correlation between the gene expression of transcription factors and their target genes. Availability: Expresso is freely available at http://bioinformatics.cs.vt.edu/expresso/


2019 ◽  
Author(s):  
Qiong Zhang

Transcription factors (TFs) as key regulators play crucial roles in biological processes. The identification of TF-target regulatory relationships is a key step for revealing functions of TFs and their regulations on gene expression. The accumulated data of Chromatin immunoprecipitation sequencing (ChIP-Seq) provides great opportunities to discover the TF-target regulations across different conditions. In this study, we constructed a database named hTFtarget, which integrated huge human TF target resources (7,190 ChIP-Seq samples of 659 TFs and high confident TF binding sites of 699 TFs) and epigenetic modification information to predict accurate TF-target regulations. hTFtarget offers the following functions for users to explore TF-target regulations: 1) Browse or search general targets of a query TF across datasets; 2) Browse TF-target regulations for a query TF in a specific dataset or tissue; 3) Search potential TFs for a given target gene or ncRNA; 4) Investigate co-association between TFs in cell lines; 5) Explore potential co-regulations for given target genes or TFs; 6) Predict candidate TFBSs on given DNA sequences; 7) View ChIP-Seq peaks for different TFs and conditions in genome browser. hTFtarget provides a comprehensive, reliable and user-friendly resource for exploring human TF-target regulations, which will be very useful for a wide range of users in the TF and gene expression regulation community. hTFtarget is available at http://bioinfo.life.hust.edu.cn/hTFtarget.


2020 ◽  
Author(s):  
Pratiti Dasgupta ◽  
Abhishek Das ◽  
Sambit Datta New ◽  
Ishani Banerjee New ◽  
Sucheta Tripathy ◽  
...  

Abstract Background Cellular reprogramming in response to environmental stress involves alteration of gene expression, changes in the protein and metabolite profile for ensuring better stress management in plants. Similar to other plant species originating in tropical and sub-tropical areas, indica rice is highly sensitive to low temperature that adversely affects its growth and grain productivity. Substantial work has been done to understand cold induced changes in gene expression in rice plants. However, adequate information is not available for early gene expression, especially in indica variety. Therefore, a transcriptome profile was generated for cold shock treated seedlings of IR64 variety to identify early responsive genes. Results The functional annotation of early DEGs shows enrichment of genes involved in altered membrane rigidity and electrolytic leakage, the onset of calcium signaling, ROS generation and activation of stress responsive transcription factors in IR64. Gene regulatory network suggests that cold shock induces Ca 2+ signaling to activate DREB/CBF pathway and other groups of transcription factors such as MYB, NAC and ZFP; for activating various cold-responsive genes. The analysis also indicates that cold induced signaling proteins like RLKs, RLCKs, CDPKs and MAPKK and ROS signaling proteins. Further, several LEA, dehydrins and Low temperature-induced-genes were upregulated under early cold shock condition, indicating the onset of water-deficit conditions. Expression profiling in different high yielding cultivars shows high expression of cold-responsive genes in Heera and CB1 indica varieties, These varieties show low levels of cold induced ROS production, electrolytic leakage and high germination rate post-cold stress, compared to IR36 and IR64. Collectively, these results suggest that these varieties may have improved adaptability to cold stress. Conclusions The results of this study provide insights about early responsive events in Oryza sativa L.ssp. indica cv IR64 in response to cold stress. Our data shows the onset of cold response is associated with upregulation of stress responsive TFs, hydrophilic proteins and signaling molecules, whereas, the genes coding for cellular biosynthetic enzymes, cell cycle control and growth-related TFs are downregulated. This study reports that the generation of ROS is integral to the early response to trigger the ROS mediated signaling events during later stages.


2020 ◽  
Vol 21 (4) ◽  
pp. 1303 ◽  
Author(s):  
Stefan Bauersachs ◽  
Pascal Mermillod ◽  
Carmen Almiñana

Oviductal extracellular vesicles (oEVs) are emerging as key players in the gamete/embryo–oviduct interactions that contribute to successful pregnancy. Various positive effects of oEVs on gametes and early embryos have been found in vitro. To determine whether these effects are associated with changes of embryonic gene expression, the transcriptomes of embryos supplemented with bovine fresh (FeEVs) or frozen (FoEVs) oEVs during in vitro culture compared to controls without oEVs were analyzed by low-input RNA sequencing. Analysis of RNA-seq data revealed 221 differentially expressed genes (DEGs) between FoEV treatment and control, 67 DEGs for FeEV and FoEV treatments, and minor differences between FeEV treatment and control (28 DEGs). An integrative analysis of mRNAs and miRNAs contained in oEVs obtained in a previous study with embryonic mRNA alterations pointed to direct effects of oEV cargo on embryos (1) by increasing the concentration of delivered transcripts; (2) by translating delivered mRNAs to proteins that regulate embryonic gene expression; and (3) by oEV-derived miRNAs which downregulate embryonic mRNAs or modify gene expression in other ways. Our study provided the first high-throughput analysis of the embryonic transcriptome regulated by oEVs, increasing our knowledge on the impact of oEVs on the embryo and revealing the oEV RNA components that potentially regulate embryonic development.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 3428-3428
Author(s):  
Liang Li ◽  
Rushabh Modi ◽  
Xiwei Wu ◽  
Stephen J. Forman ◽  
Ravi Bhatia

Abstract Delta-Like 1 (DLK) is an EGF-like transmembrane protein, which is overexpressed in myelodysplastic syndrome (MDS) CD34+ cells. We have previously shown that ectopic DLK expression inhibits HL-60 cell differentiation and proliferation through intracellular domain interactions. To further investigate mechanisms underlying DLK effects on myeloid cell differentiation and proliferation, we compared gene expression profiles of DLK expressing and control HL-60 cells, with or without differentiating induction with ATRA, using Affymetrix HG-U133A arrays. Gene expression data was analyzed using affy and limma (linear model of microarray analysis) packages in the open-source BioConductor project (v 1.6). Raw data were processed using robust multi-chip average (RMA) algorithm, a linear model fit to each gene, and the following comparisons were made: (a) effects of DLK expression in unstimulated cells, (b) effects of DLK expression in ATRA exposed cells, (c) effects of ATRA induction on R1 cells, (d) effects of ATRA induction on DLK+ cells, and (e) differences in the response of DLK+ vs. control cells to ATRA. Adjusted P values and log odds of differential expression (B statistic, 50% probability when B=0) were calculated. B values > 0 were considered statistically significant. 523 genes were differentially expressed between unstimulated control and DLK+ cells, 343 genes were differentially expressed between control and DLK+ cells after ATRA stimulation, and 204 genes were common to the two sets. 802 genes were differentially expressed after ATRA stimulation in control cells, 742 genes in DLK+ cells, with 550 genes common to the two sets. 13 genes were differentially expressed when ATRA responses of control and DLK+ cells were compared. Gene ontology (GO) analyses indicated that "Biological processes" significantly affected by DLK overexpression included signal transduction, cell cycle, proliferation, cell death, protein metabolism and enzyme cascades, and "Molecular functions" most affected included nucleotide/DNA binding and protein kinase activity. These observations are consistent with observed cellular effects of DLK. Using MotifRegressor software, we performed promoter analysis correlating common transcription factor-binding motifs with expression profiles of genes differentially expressed between DLK+ and control cells. We identified the transcription factors (TF) PBX, GATA-1, c-Myc: Max, HIF-1, DEC1, Hand1, Lmo2, NKX25, GKLF and AP-1 as being potentially involved in DLK-mediated changes in gene expression. The observed patterns of differential gene expression were consistent with altered activities of these TF. Electrophoresis mobility shift assays (EMSA) indicated increased PBX and reduced HIF-1 and GATA-1 activities in DLK+ cells. Interestingly, Hand1, c-Myc: Max and Dec1 are basic Helix-loop-Helix (b-HLH) factors with E box binding sites, which are known to associate and form regulatory complexes with other TF. TF such as GATA-1, GLKF and Lmo2, also identified in our analysis, are known to be associated with such complexes. In conclusion, gene expression profiles of DLK expressing human myeloid cells are consistent with observed alterations in cell proliferation and differentiation. We have identified TF that may act individually and/or in concert to induce the observed changes in gene expression in DLK+ cells. Further evaluation of their role of these TF in mediating DLK effects and in abnormal hematopoietic cell growth in MDS is warranted.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 550-550
Author(s):  
Marc A Kerenyi ◽  
Jessica Hsu ◽  
Zhen Shao ◽  
Stuart H Orkin

Abstract Abstract 550 Lysine specific demethylase 1 (LSD1) is a demethylase that acts on mono- and dimethylated H3K4 (H3K4me1/2). Consistent with H3K4me2 (an active marker of transcription) as a substrate, LSD1 is part of a core complex with the co-repressor, CoREST and HDAC1/2. Previously our lab demonstrated that regulation of hematopoietic differentiation depends in part on the interaction of the growth factor independent transcription factors (= Gfi1 and Gfi1b) with the LSD1/CoREST/HDAC complex. We generated a conditional knock out mouse for LSD1 (LSD1fl/fl) to study its roles in hematopoiesis. Inducible deletion of LSD1fl/fl mice in all hematopoietic lineages with Mx-Cre resulted in severe neutropenia. Flow cytometric analysis showed that LSD1fl/fl Mx-Cre mice lacked Gr-1high Mac-1high double positive mature neutrophilic granulocytes in the bone marrow and the peripheral blood; however, the frequency of Gr-1dim Mac-1high (mainly consisting of promyelocytes and myeloblasts but not mature neutrophils) increased in frequency. To reveal the mechanism responsible for the observed neutropenia, we performed global mRNA expression profiling and chromatin immunoprecipitation sequencing (ChIPSeq) for H3K4 methylation states in Gr-1dim Mac-1high cells from LSD1fl/fl Mx-Cre and LSD1fl/fl mice. Five hundred ninety-eight genes (412 up / 186 down; p≤0.01, 2-fold cutoff) were differentially expressed in the absence of LSD1. Although we did not detect changes in expression of established myeloid transcription factors, including Pu.1, C/EBPα, C/EBPε or Gfi1, gene set enrichment analysis (GSEA) of Gr-1dim Mac-1high cells from LSD1fl/fl Mx-Cre using gene signatures for mature myeloid cells clearly showed that LSD1 deficient Gr-1dim Mac-1high cells failed to display a gene signature of differentiated myeloid cells (NES: 1.88; p≤0.003). Among the most highly upregulated genes, we observed genes highly expressed in hematopoietic stem and progenitor cells (HSPCs; i.e.: CD34 36.2-fold; HoxA9 26.3-fold; Sca-1 10.8-fold; Meis 1 2.6-fold). Therefore we performed GSEA using signatures from HSPCs (encompassing over 200 genes); the stem/progenitor gene set was highly significantly enriched (NES: −1.9; p<10−4) in LSD1 deficient Gr-1dim Mac-1high cells. Chromatin immunoprecipitation sequencing did not reveal any global changes in the amount of H3K4me2/3 histone methylation, however many genes critical for HSPCs, including Meis1 and the entire HoxA gene locus, where more strongly H3K4me2/3 marked than in control cells, which is in concord with the gene expression data. To determine if LSD1 represses stem/progenitor genes in additional lineages, we analyzed the effects of LSD1 loss in erythroid cell development through breeding with EpoR-Cre. Wild type, as well as control embryos, were recovered at Mendalian ratios up to E12.5, but no live LSD1fl/fl EpoR-Cre embryos were observed after E15.5. At E13.5, LSD1-deficient embryos were smaller and paler as compared to control embryos. Flow cytometry revealed a severe differentiation defect at the transition from pro-erythroblasts to basophilic erythroblasts, resulting in a paucity of more mature erythroid cells. To unravel molecular mechanisms responsible for this deficit, we performed gene expression profiling of wild type and knock out CD71+ c-kit+ Ter119lo pro-erythroblasts. Again, we did not detect changes in the expression levels of established erythroid transcription factors, including Gata-1, Klf1, SCL/Tal1, NF-E1, Ldb1, Lmo2 or Myb. By GSEA analysis we observed that LSD1 deficient CD71+ c-kit+ Ter119lo pro-erythroblasts displayed higher expression of the hematopoietic stem and progenitor cell gene signatures (NES: −2.4; p<10−4), a finding strikingly similar to the data in myeloid cells. Therefore, LSD1 is required in multiple hematopoietic lineages to repress stem/progenitor gene expression programs in maturing cells. We propose that repression of these early programs is essential for subsequent hematopoietic differentiation. Disclosures: No relevant conflicts of interest to declare.


2005 ◽  
Vol 35 (1) ◽  
pp. 13-25 ◽  
Author(s):  
Kay E Garnett ◽  
Philip Chapman ◽  
Julie A Chambers ◽  
Ian D Waddell ◽  
David S W Boam

The β-cell failure that characterises type 2 diabetes is likely to involve altered expression of many genes. We aimed to identify global changes in gene expression underlying β-cell dysfunction in pre-diabetic Zucker Diabetic Fatty rat islets, followed by functional studies to verify our findings. Gene expression profiles in islets from 6-week-old Zucker Diabetic Fatty rats and Zucker Fatty rat controls were analysed using Affymetrix microarrays. Totally 977 genes were found to be differentially regulated, comprising large groups of membrane and structural proteins, kinases, channels, receptors, transporters, growth factors and transcription factors. We are particularly interested in transcription factors, which can have profound effects on cellular function. Thus a subset of those with no role yet defined in the β-cell was selected for further study namely the immediate-early gene Egr-1, PAG608, rCGR19 and mSin3b. Tissue specificity of these factors varied but interestingly Egr-1 expression was highly enriched in the pancreatic islet. To determine a possible role of Egr-1 in the β-cell, Egr-1 expression in INS-1 cells was silenced using RNA interference (RNAi). Glucose-stimulated insulin secretion in these cells was then measured using ELISA and cell proliferation was measured by [3H]thymidine incorporation. Small interfering RNA (siRNA)-mediated silencing of the Egr-1 gene inhibited its induction by glucose but had no observable effect on glucose-stimulated insulin secretion. However, Egr-1 gene silencing did inhibit proliferation of INS-1 cells in a glucose-independent manner. Our studies have revealed a role for Egr-1 and suggest that reduced Egr-1 gene expression may contribute to decreased β-cell proliferation and the consequent β-cell failure observed in the later stages of type 2 diabetes.


2015 ◽  
Vol 198 (2) ◽  
pp. 363-369 ◽  
Author(s):  
Christopher J. Rosario ◽  
Ming Tan

ABSTRACTChlamydiais a genus of pathogenic bacteria with an unusual intracellular developmental cycle marked by temporal waves of gene expression. The three main temporal groups of chlamydial genes are proposed to be controlled by separate mechanisms of transcriptional regulation. However, we have noted genes with discrepancies, such as the early genednaKand the midcycle genesbioYandpgk, which have promoters controlled by the late transcriptional regulators EUO and σ28. To resolve this issue, we analyzed the promoters of these three genesin vitroand inChlamydia trachomatisbacteria grown in cell culture. Transcripts from the σ28-dependent promoter of each gene were detected only at late times in the intracellular infection, bolstering the role of σ28RNA polymerase in late gene expression. In each case, however, expression prior to late times was due to a second promoter that was transcribed by σ66RNA polymerase, which is the major form of chlamydial polymerase. These results demonstrate that chlamydial genes can be transcribed from tandem promoters with different temporal profiles, leading to a composite expression pattern that differs from the expression profile of a single promoter. In addition, tandem promoters allow a gene to be regulated by multiple mechanisms of transcriptional regulation, such as DNA supercoiling or late regulation by EUO and σ28. We discuss how tandem promoters broaden the repertoire of temporal gene expression patterns in the chlamydial developmental cycle and can be used to fine-tune the expression of specific genes.IMPORTANCEChlamydiais a pathogenic bacterium that is responsible for the majority of infectious disease cases reported to the CDC each year. It causes an intracellular infection that is characterized by coordinated expression of chlamydial genes in temporal waves. Chlamydial transcription has been shown to be regulated by DNA supercoiling, alternative forms of RNA polymerase, and transcription factors, but the number of transcription factors found inChlamydiais far fewer than the number found in most bacteria. This report describes the use of tandem promoters that allow the temporal expression of a gene or operon to be controlled by more than one regulatory mechanism. This combinatorial strategy expands the range of expression patterns that are available to regulate chlamydial genes.


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