scholarly journals A deformation energy model reveals sequence-dependent property of nucleosome positioning

Chromosoma ◽  
2021 ◽  
Vol 130 (1) ◽  
pp. 27-40
Author(s):  
Guoqing Liu ◽  
Hongyu Zhao ◽  
Hu Meng ◽  
Yongqiang Xing ◽  
Lu Cai
Keyword(s):  
Budding Yeast ◽  
Nucleosome Occupancy ◽  
Nucleosome Positioning ◽  
Deformation Energy ◽  
Energy Model ◽  
Structural Parameter ◽  
High Deformation ◽  
Dna Deformation ◽  
Genome Wide ◽  
Genomic Regions

AbstractWe present a deformation energy model for predicting nucleosome positioning, in which a position-dependent structural parameter set derived from crystal structures of nucleosomes was used to calculate the DNA deformation energy. The model is successful in predicting nucleosome occupancy genome-wide in budding yeast, nucleosome free energy, and rotational positioning of nucleosomes. Our model also indicates that the genomic regions underlying the MNase-sensitive nucleosomes in budding yeast have high deformation energy and, consequently, low nucleosome-forming ability, while the MNase-sensitive non-histone particles are characterized by much lower DNA deformation energy and high nucleosome preference. In addition, we also revealed that remodelers, SNF2 and RSC8, are likely to act in chromatin remodeling by binding to broad nucleosome-depleted regions that are intrinsically favorable for nucleosome positioning. Our data support the important role of position-dependent physical properties of DNA in nucleosome positioning.

scholarly journals Deform-nu: A DNA Deformation Energy-Based Predictor for Nucleosome Positioning

2020 ◽  
Vol 8 ◽  
Author(s):  
Guoqing Liu ◽  
Hongyu Zhao ◽  
Hu Meng ◽  
Yongqiang Xing ◽  
Hui Yang ◽  
...  
Keyword(s):  
Physical Properties ◽  
Web Server ◽  
Nucleosome Positioning ◽  
Deformation Energy ◽  
Structure And Function ◽  
Energy Model ◽  
Dna Deformation ◽  
And Function

The structure and function of chromatin can be regulated through positioning patterns of nucleosomes. DNA-based processes are regulated via nucleosomes. Therefore, it is significant to determine nucleosome positions in DNA-based processes. A deformation energy model was proposed to predict nucleosome positions in our previous study. A free web server based on the model (http://lin-group.cn/server/deform-nu/) was firstly established to estimate the occupancy and rotational positioning of nucleosomes in the study. Then, the performance of the model was verified by several examples. The results indicated that nucleosome positioning relied on the physical properties of DNA, such as deformation energy.

scholarly journals Sequence-based prediction of single nucleosome positioning and genome-wide nucleosome occupancy

2012 ◽  
Vol 109 (38) ◽  
pp. E2514-E2522 ◽  
Author(s):  
Thijn van der Heijden ◽  
Joke J.F.A. van Vugt ◽  
Colin Logie ◽  
John van Noort
Keyword(s):  
Dna Sequences ◽  
Nucleosome Occupancy ◽  
Correlation Coefficients ◽  
Simple Algorithm ◽  
Nucleosome Positioning ◽  
Mechanics Model ◽  
Genome Wide ◽  
Sequence Effects

Nucleosome positioning dictates eukaryotic DNA compaction and access. To predict nucleosome positions in a statistical mechanics model, we exploited the knowledge that nucleosomes favor DNA sequences with specific periodically occurring dinucleotides. Our model is the first to capture both dyad position within a few base pairs, and free binding energy within 2 kBT, for all the known nucleosome positioning sequences. By applying Percus’s equation to the derived energy landscape, we isolate sequence effects on genome-wide nucleosome occupancy from other factors that may influence nucleosome positioning. For both in vitro and in vivo systems, three parameters suffice to predict nucleosome occupancy with correlation coefficients of respectively 0.74 and 0.66. As predicted, we find the largest deviations in vivo around transcription start sites. This relatively simple algorithm can be used to guide future studies on the influence of DNA sequence on chromatin organization.

Active nucleosome positioning beyond intrinsic biophysics is revealed by in vitro reconstitution

2012 ◽  
Vol 40 (2) ◽  
pp. 377-382 ◽  
Author(s):  
Philipp Korber
Keyword(s):  
Dna Sequence ◽  
Nucleosome Occupancy ◽  
Nucleosome Positioning ◽  
Major Theme ◽  
Promoter Regions ◽  
Genome Wide ◽  
Nucleosome Formation ◽  
Dna Binders

Genome-wide nucleosome maps revealed well-positioned nucleosomes as a major theme in eukaryotic genome organization. Promoter regions often show a conserved pattern with an NDR (nucleosome-depleted region) from which regular nucleosomal arrays emanate. Three mechanistic contributions to such NDR-array-organization and nucleosome positioning in general are discussed: DNA sequence, DNA binders and DNA-templated processes. Especially, intrinsic biophysics of DNA sequence preferences for nucleosome formation was prominently suggested to explain the majority of nucleosome positions (‘genomic code for nucleosome positioning’). Nonetheless, non-histone factors that bind DNA with high or low specificity, such as transcription factors or remodelling enzymes respectively and processes such as replication, transcription and the so-called ‘statistical positioning’ may be involved too. Recently, these models were tested for yeast by genome-wide reconstitution. DNA sequence preferences as probed by SGD (salt gradient dialysis) reconstitution generated many NDRs, but only few individual nucleosomes, at their proper positions, and no arrays. Addition of a yeast extract and ATP led to dramatically more in vivo-like nucleosome positioning, including regular arrays for the first time. This improvement depended essentially on the extract and ATP but not on transcription or replication. Nucleosome occupancy and close spacing were maintained around promoters, even at lower histone density, arguing for active packing of nucleosomes against the 5′ ends of genes rather than statistical positioning. A first extract fractionation identified a direct, specific, necessary, but not sufficient role for the RSC (remodels the structure of chromatin) remodelling enzyme. Collectively, nucleosome positioning in yeast is actively determined by factors beyond intrinsic biophysics, and in steady-state rather than at equilibrium.

scholarly journals Genome-wide association study in almost 195,000 individuals identifies 50 previously unidentified genetic loci for eye color

2021 ◽  
Vol 7 (11) ◽  
pp. eabd1239
Author(s):  
Mark Simcoe ◽  
Ana Valdes ◽  
Fan Liu ◽  
Nicholas A. Furlotte ◽  
David M. Evans ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Color Variation ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Melanin Pigmentation ◽  
Eye Color ◽  
Human Eye ◽  
Genome Wide ◽  
Genomic Regions

Human eye color is highly heritable, but its genetic architecture is not yet fully understood. We report the results of the largest genome-wide association study for eye color to date, involving up to 192,986 European participants from 10 populations. We identify 124 independent associations arising from 61 discrete genomic regions, including 50 previously unidentified. We find evidence for genes involved in melanin pigmentation, but we also find associations with genes involved in iris morphology and structure. Further analyses in 1636 Asian participants from two populations suggest that iris pigmentation variation in Asians is genetically similar to Europeans, albeit with smaller effect sizes. Our findings collectively explain 53.2% (95% confidence interval, 45.4 to 61.0%) of eye color variation using common single-nucleotide polymorphisms. Overall, our study outcomes demonstrate that the genetic complexity of human eye color considerably exceeds previous knowledge and expectations, highlighting eye color as a genetically highly complex human trait.

scholarly journals Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of Obesity

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1984
Author(s):  
Majid Nikpay ◽  
Sepehr Ravati ◽  
Robert Dent ◽  
Ruth McPherson
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait ◽  
Rare Variants ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Search ◽  
Risk Snps ◽  
Trait Locus ◽  
Genomic Regions ◽  
Eqtl Data

Here, we performed a genome-wide search for methylation sites that contribute to the risk of obesity. We integrated methylation quantitative trait locus (mQTL) data with BMI GWAS information through a SNP-based multiomics approach to identify genomic regions where mQTLs for a methylation site co-localize with obesity risk SNPs. We then tested whether the identified site contributed to BMI through Mendelian randomization. We identified multiple methylation sites causally contributing to the risk of obesity. We validated these findings through a replication stage. By integrating expression quantitative trait locus (eQTL) data, we noted that lower methylation at cg21178254 site upstream of CCNL1 contributes to obesity by increasing the expression of this gene. Higher methylation at cg02814054 increases the risk of obesity by lowering the expression of MAST3, whereas lower methylation at cg06028605 contributes to obesity by decreasing the expression of SLC5A11. Finally, we noted that rare variants within 2p23.3 impact obesity by making the cg01884057 site more susceptible to methylation, which consequently lowers the expression of POMC, ADCY3 and DNAJC27. In this study, we identify methylation sites associated with the risk of obesity and reveal the mechanism whereby a number of these sites exert their effects. This study provides a framework to perform an omics-wide association study for a phenotype and to understand the mechanism whereby a rare variant causes a disease.

Drosophila Gain-of-Function Mutant RTK Torso Triggers Ectopic Dpp and STAT Signaling

Genetics ◽  
2003 ◽  
Vol 164 (1) ◽  
pp. 247-258 ◽  
Author(s):  
Jinghong Li ◽  
Willis X Li
Keyword(s):  
Tyrosine Kinases ◽  
Target Genes ◽  
Tor Signaling ◽  
Gain Of Function ◽  
Essential Requirement ◽  
Downstream Target ◽  
Rtk Signaling ◽  
Genome Wide ◽  
A Genome ◽  
Genomic Regions

Abstract Overactivation of receptor tyrosine kinases (RTKs) has been linked to tumorigenesis. To understand how a hyperactivated RTK functions differently from wild-type RTK, we conducted a genome-wide systematic survey for genes that are required for signaling by a gain-of-function mutant Drosophila RTK Torso (Tor). We screened chromosomal deficiencies for suppression of a gain-of-function mutation tor (torGOF), which led to the identification of 26 genomic regions that, when in half dosage, suppressed the defects caused by torGOF. Testing of candidate genes in these regions revealed many genes known to be involved in Tor signaling (such as those encoding the Ras-MAPK cassette, adaptor and structural molecules of RTK signaling, and downstream target genes of Tor), confirming the specificity of this genetic screen. Importantly, this screen also identified components of the TGFβ (Dpp) and JAK/STAT pathways as being required for TorGOF signaling. Specifically, we found that reducing the dosage of thickveins (tkv), Mothers against dpp (Mad), or STAT92E (aka marelle), respectively, suppressed torGOF phenotypes. Furthermore, we demonstrate that in torGOF embryos, dpp is ectopically expressed and thus may contribute to the patterning defects. These results demonstrate an essential requirement of noncanonical signaling pathways for a persistently activated RTK to cause pathological defects in an organism.

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