STRUCTURAL AND FUNCTIONAL CHARACTERIZATION OF PUTATIVE REGULATORY DNA SEQUENCES OFFCPGENES IN THE CENTRIC DIATOMCYCLOTELLA CRYPTICA

2008 ◽  
Vol 23 (1) ◽  
pp. 31-49 ◽  
Author(s):  
Tanja Brakemann ◽  
Frank Becker ◽  
Peter Kroth ◽  
Erhard Rhiel
PLoS ONE ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. e0218073 ◽  
Author(s):  
Rajiv Movva ◽  
Peyton Greenside ◽  
Georgi K. Marinov ◽  
Surag Nair ◽  
Avanti Shrikumar ◽  
...  

1991 ◽  
Vol 96 (2) ◽  
pp. 162-167 ◽  
Author(s):  
Chuan-Kui Jiang ◽  
Howard S Epstein ◽  
Marjana Tomic ◽  
Irwin M Freedberg ◽  
Miroslav Blumenberg

2018 ◽  
Author(s):  
Rajiv Movva ◽  
Peyton Greenside ◽  
Georgi K. Marinov ◽  
Surag Nair ◽  
Avanti Shrikumar ◽  
...  

AbstractThe relationship between noncoding DNA sequence and gene expression is not well-understood. Massively parallel reporter assays (MPRAs), which quantify the regulatory activity of large libraries of DNA sequences in parallel, are a powerful approach to characterize this relationship. We present MPRA-DragoNN, a convolutional neural network (CNN)-based framework to predict and interpret the regulatory activity of DNA sequences as measured by MPRAs. While our method is generally applicable to a variety of MPRA designs, here we trained our model on the Sharpr-MPRA dataset that measures the activity of ~500,000 constructs tiling 15,720 regulatory regions in human K562 and HepG2 cell lines. MPRA-DragoNN predictions were moderately correlated (Spearman ρ = 0.28) with measured activity and were within range of replicate concordance of the assay. State-of-the-art model interpretation methods revealed high-resolution predictive regulatory sequence features that overlapped transcription factor (TF) binding motifs. We used the model to investigate the cell type and chromatin state preferences of predictive TF motifs. We explored the ability of our model to predict the allelic effects of regulatory variants in an independent MPRA experiment and fine map putative functional SNPs in loci associated with lipid traits. Our results suggest that interpretable deep learning models trained on MPRA data have the potential to reveal meaningful patterns in regulatory DNA sequences and prioritize regulatory genetic variants, especially as larger, higher-quality datasets are produced.


2018 ◽  
Author(s):  
George E. Gentsch ◽  
Thomas Spruce ◽  
Nick D. L. Owens ◽  
James C. Smith

ABSTRACTEmbryonic development yields many different cell types in response to just a few families of inductive signals. The property of a signal-receiving cell that determines how it responds to such signals, including the activation of cell type-specific genes, is known as its competence. Here, we show how maternal factors modify chromatin to specify initial competence in the frog Xenopus tropicalis. We identified the earliest engaged regulatory DNA sequences, and inferred from them critical activators of the zygotic genome. Of these, we showed that the pioneering activity of the maternal pluripotency factors Pou5f3 and Sox3 predefines competence for germ layer formation by extensively remodeling compacted chromatin before the onset of signaling. The remodeling includes the opening and marking of thousands of regulatory elements, extensive chromatin looping, and the co-recruitment of signal-mediating transcription factors. Our work identifies significant developmental principles that inform our understanding of how pluripotent stem cells interpret inductive signals.


2004 ◽  
Vol 40 ◽  
pp. 121-136 ◽  
Author(s):  
Bruce Gottlieb ◽  
Lenore K Beitel ◽  
Jianhui Wu ◽  
Youssef A Elhaji ◽  
Mark Trifiro

The androgen receptor (AR) protein regulates transcription of certain genes. Usually this depends upon a central DNA-binding domain that permits the binding of androgen–AR complexes to regulatory DNA sequences near or in a target gene. The AR also has a C-terminal ligand-binding domain and an Nterminal transcription modulatory domain. These N- and C-terminal domains interact directly, and with co-regulatory, non-receptor proteins, to exert precise control over a gene’s transcription rate. The precise roles of these proteins are active research areas. Severe X-linked AR gene (AR) mutations cause complete androgen insensitivity, mild ones impair virilization with or without infertility, and moderate ones yield a wide phenotypic spectrum sometimes among siblings. Different phenotype expressivity may reflect variability of ARinteractive proteins. Mutations occur throughout the AR but are concentrated in specific areas of the gene known as hot spots. A number of these mutations of somatic origin are associated with prostate cancer. N-terminal polyglutamine (polyGln) tract expansion reduces AR transactivation, and when there are more than 38 glutamine residues it causes spinobulbar muscular atrophy, a motor neuron disease, due to a gain of function. Variations in polyGln tract length have been associated as risk factors with prostate, breast, uterine, endometrial and colorectal cancer, as well as male infertility.


1991 ◽  
Vol 11 (10) ◽  
pp. 5154-5163
Author(s):  
D D Barker ◽  
H Wu ◽  
S Hartung ◽  
M Breindl ◽  
R Jaenisch

The Mov13 mouse strain carries a mutation in the alpha 1(I) procollagen gene which is due to the insertion of a Moloney murine leukemia provirus into the first intron. This insertion results in the de novo methylation of the provirus and flanking DNA, the alteration of chromatin structure, and the transcriptional inactivity of the collagen promoter. To address the mechanism of mutagenesis, we reintroduced a cloned and therefore demethylated version of the Mov13 mutant allele into mouse fibroblasts. The transfected gene was not transcribed, indicating that the transcriptional defect was not due to the hypermethylation. Rather, this result strongly suggests that the mutation is due to the displacement or disruption of cis-acting regulatory DNA sequences within the first intron. We also constructed a Mov13 variant allele containing a single long terminal repeat instead of the whole provirus. This construct also failed to express mRNA, indicating that the Mov13 mutation does not revert by provirus excision as has been observed for other retrovirus-induced mutations.


Sign in / Sign up

Export Citation Format

Share Document