scholarly journals Breaking the Silence: The Interplay Between Transcription Factors and DNA Methylation

Author(s):  
Byron Baron
2016 ◽  
Vol 68 (8) ◽  
pp. 1876-1886 ◽  
Author(s):  
Oscar Alvarez-Garcia ◽  
Kathleen M. Fisch ◽  
Nathan E. Wineinger ◽  
Ryuichiro Akagi ◽  
Masahiko Saito ◽  
...  

2018 ◽  
Vol 115 (48) ◽  
pp. E11321-E11330 ◽  
Author(s):  
Jie Hou ◽  
Xiaowen Shi ◽  
Chen Chen ◽  
Md. Soliman Islam ◽  
Adam F. Johnson ◽  
...  

Changes in dosage of part of the genome (aneuploidy) have long been known to produce much more severe phenotypic consequences than changes in the number of whole genomes (ploidy). To examine the basis of these differences, global gene expression in mature leaf tissue for all five trisomies and in diploids, triploids, and tetraploids of Arabidopsis thaliana was studied. The trisomies displayed a greater spread of expression modulation than the ploidy series. In general, expression of genes on the varied chromosome ranged from compensation to dosage effect, whereas genes from the remainder of the genome ranged from no effect to reduced expression approaching the inverse level of chromosomal imbalance (2/3). Genome-wide DNA methylation was examined in each genotype and found to shift most prominently with trisomy 4 but otherwise exhibited little change, indicating that genetic imbalance is generally mechanistically unrelated to DNA methylation. Independent analysis of gene functional classes demonstrated that ribosomal, proteasomal, and gene body methylated genes were less modulated compared with all classes of genes, whereas transcription factors, signal transduction components, and organelle-targeted protein genes were more tightly inversely affected. Comparing transcription factors and their targets in the trisomies and in expression networks revealed considerable discordance, illustrating that altered regulatory stoichiometry is a major contributor to genetic imbalance. Reanalysis of published data on gene expression in disomic yeast and trisomic mouse cells detected similar stoichiometric effects across broad phylogenetic taxa, and indicated that these effects reflect normal gene regulatory processes.


2018 ◽  
Vol 221 (1) ◽  
pp. 261-278 ◽  
Author(s):  
Francesca Tedeschi ◽  
Paride Rizzo ◽  
Bui Thi Mai Huong ◽  
Andreas Czihal ◽  
Twan Rutten ◽  
...  

2016 ◽  
Vol 62 (4) ◽  
pp. 367-372 ◽  
Author(s):  
Lingling QIU ◽  
Lu XU ◽  
Guobin CHANG ◽  
Qixin GUO ◽  
Xiangping LIU ◽  
...  

Gene ◽  
2019 ◽  
Vol 684 ◽  
pp. 39-46 ◽  
Author(s):  
Jieyun Hong ◽  
Xiaoyu Wang ◽  
Chugang Mei ◽  
Linsen Zan

Gene ◽  
2019 ◽  
Vol 718 ◽  
pp. 144018
Author(s):  
Fiaz Ahmad ◽  
Kiran Farman ◽  
Muhammad Waseem ◽  
Rashid Mehmood Rana ◽  
Muhammad Amjad Nawaz ◽  
...  

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.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2436-2436 ◽  
Author(s):  
Christopher C. Oakes ◽  
Marc Seifert ◽  
Yassen Assenov ◽  
Lei Gu ◽  
Martina Przekopowitz ◽  
...  

Abstract The malignant phenotype combines characteristics that are acquired and inherited from the normal cell of origin. Hematological malignancies and related disease subtypes are thought to arise from diverse cell types that may reflect various developmental stages within the hematopoetic lineage. The contribution of different normal cell states and processes to the biological and clinical features of malignancy is not well understood. In chronic lymphocytic leukemia (CLL), two or three subtypes have been identified by variation in the degree of somatic IGHV mutations and recently uncovered epigenetic differences, respectively, suggesting that these subtypes derive from distinct normal B cell subsets at different stages of maturity. However, in CLL, as well as in most malignancies, the full possible extent of maturity states and the relative contribution of normal versus malignant developmental programs to the malignant phenotype have not been defined in a high-resolution manner. It is widely accepted that epigenetic patterns are important to establish and stabilize cellular phenotypes. Using whole genome bisulfite sequencing and sequence-specific methods, we assessed the dynamic DNA methylation events that occur during the maturation of B cells using six highly purified B cell subsets representing various stages of maturation. We confirmed previous reports that broad epigenetic programming affects about 25% of the genome from naïve to memory B cells, and further revealed that B cell subpopulations of intermediate maturity retained increasing degrees of the maturation program resulting in a singular developmental trajectory. Maturation was driven in part by the activity of a specific set of transcription factors (e.g. AP-1, EBF1, RUNX3, OCT2, IRF4 and NFkB). Using the developmental epigenetic signature defined by transcription factor binding site (TFBS) programming in normal cells to compare to tumor cells of 268 CLL revealed that tumors have the potential to derive from a continuum of possible maturation states that are reflected in the maturation stages of normal cells. Using RNA sequencing to measure gene expression, we found the degree of maturation achieved in tumors closely associates with the acquisition of a more indolent pattern of gene expression, evidenced by progressive downregulation of CLL oncogenes, such as ZAP70, TCL1 and BTK. Further assessment of the level of DNA methylation maturity in an independent sample cohort of 348 CLL cases revealed a quantitative, continuous relationship with increasingly favorable clinical outcomes. Although the majority of methylation differences found between tumor subtypes are naturally present in normal B cells, by identifying changes that are only present in CLL we further uncovered a previously unappreciated pathogenic role of transcription factor dysregulation. Specifically, a blockade in the epigenetic maturation of EBF and AP-1 TFBSs was found to define low-programmed (less mature, poor outcome) CLL cases and was associated with transcriptional and genetic loss of EBF1 and FOS transcription factors in tumor cells. Aberrantly acquired DNA methylation events in CLL were linked to excess activity of specific transcription factor families, namely EGR and NFAT. Intriguingly, we show that recurrent somatic mutations within the DNA binding domain of EGR2 selectively influence the methylation status of its cognate binding sites in mutant cases, establishing a role for this transcription factor in epigenetic dysregulation in CLL. Collectively, this work reveals that a unique epigenetic maturation signature, directed by normal developmental processes, defines individual CLL cases resulting in a spectrum of maturity across tumors. The majority of DNA methylation differences observed between individual CLLs reflects the state of maturity of the founder cell and profoundly influences the disease phenotype. We further propose that in CLL the disease-specific state results, in part, by dysregulation of key transcription factors that imbalance the normal B cell epigenetic program. Disclosures Kipps: Celgene: Consultancy, Honoraria, Research Funding; Gilead: Honoraria, Speakers Bureau; Roche: Consultancy, Honoraria, Research Funding; Pharmacyclics: Consultancy, Honoraria; AbbVie: Consultancy, Research Funding. Stilgenbauer:AbbVie: Consultancy, Other: travel grants, Research Funding; Amgen: Consultancy, Other: travel grants, Research Funding; Boehringer-Ingelheim: Consultancy, Other: travel grants, Research Funding; Celgene: Consultancy, Other: travel grants, Research Funding; Hoffman-LaRoche: Consultancy, Honoraria, Other: travel grants, Research Funding; Genentech: Consultancy, Other: travel grants, Research Funding; Genzyme: Consultancy, Other: travel grants, Research Funding; Gilead: Consultancy, Other: travel grants, Research Funding; GlaxoSmithKline: Consultancy, Other: travel grants, Research Funding; Janssen: Consultancy, Other: travel grants, Research Funding; Mundipharma: Consultancy, Other: travel grants, Research Funding.


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