Literature DB >> 19178722

High-resolution mapping of heterochromatin redistribution in a Drosophila position-effect variegation model.

Maartje J Vogel1, Ludo Pagie, Wendy Talhout, Marja Nieuwland, Ron M Kerkhoven, Bas van Steensel.   

Abstract

BACKGROUND: Position-effect variegation (PEV) is the stochastic transcriptional silencing of a gene positioned adjacent to heterochromatin. white-mottled X-chromosomal inversions in Drosophila are classic PEV models that show variegation of the eye color gene white due to its relocation next to pericentric heterochromatin. It has been suggested that in these models the spreading of heterochromatin across the rearrangement breakpoint causes the silencing of white. However, the extent of this spreading and the precise pattern of heterochromatin redistribution have remained unclear. To obtain insight into the mechanism of PEV, we constructed high-resolution binding maps of Heterochromatin Protein 1 (HP1) on white-mottled chromosomes.
RESULTS: We find that HP1 invades euchromatin across the inversion breakpoints over approximately 175 kb and approximately 30 kb, causing de novo association of HP1 with 20 genes. However, HP1 binding levels in these regions show substantial local variation, and white is the most strongly bound gene. Remarkably, white is also the only gene that is detectably repressed by heterochromatin. Furthermore, we find that HP1 binding to the invaded region is particularly sensitive to the dosage of the histone methyltransferase Su(var)3-9, indicating that the de novo formed heterochromatin is less stable than naturally occurring constitutive heterochromatin.
CONCLUSION: Our molecular maps demonstrate that heterochromatin can invade a normally euchromatic region, yet the strength of HP1 binding and effects on gene expression are highly dependent on local context. Our data suggest that the white gene has an unusual intrinsic affinity for heterochromatin, which may cause this gene to be more sensitive to PEV than most other genes.

Entities:  

Year:  2009        PMID: 19178722      PMCID: PMC2644302          DOI: 10.1186/1756-8935-2-1

Source DB:  PubMed          Journal:  Epigenetics Chromatin        ISSN: 1756-8935            Impact factor:   4.954


Background

Position effect variegation (PEV) is the variation in expression of a gene caused by the stochastic inactivation of the gene in some cells of an otherwise homogeneous cell population. This variegation is often caused by the abnormal juxtaposition of the gene and a block of heterochromatin, which can be pericentric heterochromatin [1] or an array of inserted repeats that become heterochromatic [2]. PEV and related phenomena have been described in plants, yeasts and mammals ([3-6] and references therein). In Drosophila, PEV has been observed for a variety of genes (for an overview see [7]). A prototypical PEV example involves the Drosophila white gene (w) that is normally located on the distal tip of the X chromosome. A chromosomal inversion named white-mottled-4 (In(1)wor short w) places white next to the pericentric heterochromatin. Normally white is expressed in every ommatidium of the adult eye resulting in a red eye phenotype, but in wmutants the eye contains patches of red and white tissue because the expression of white is variegating [8]. Different variants of white-mottled X chromosomes exist and are collectively referred to as w. These variants have different inversion breakpoints and vary in the extent of mottling. The chromosomal region that includes the white locus has a heterochromatin-like morphology in salivary glands of wlarvae [9]. The silencing effect of PEV is generally attributed to a change in chromatin structure at the variegating locus that renders the gene less accessible to transcription factors [10]. In agreement with this, the white gene on wis less accessible to its probe in in situ hybridization assays [9], and the chromatin of a reporter gene that is silenced by PEV often acquires distinct features such as a regular nucleosome array and insensitivity to nucleases [11-13]. A set of specialized proteins, collectively termed heterochromatin proteins, mediate the structural changes seen at variegating loci. Heterochromatin Protein 1 (HP1) is widely accepted as a defining marker of heterochromatin in most eukaryotes, and is also one of the most studied components of heterochromatin [14,15]. It is abundantly associated with pericentric heterochromatin [16], but also found at hundreds of genes dispersed along the chromosome arms in fly and human cells [17-21]. Mutations in HP1 strongly suppress the silencing of reporter genes in wand other PEV models [16,22,23], indicating that HP1 is an essential component of heterochromatin. HP1 contains two conserved protein domains, the N-terminal chromodomain and the C-terminal chromoshadow-domain. The chromodomain of HP1 recognizes di- and trimethylated lysine 9 of Histone H3 (H3K9me2/3) [24-26]. Su(var)3-9 is a key histone methyltransferase responsible for H3K9 di- and trimethylation [25,27,28]. The chromoshadow domain of HP1 can also bind Su(var)3-9 directly [29,30]. Molecular mapping in Drosophila cells has shown that HP1 and Su(var)3-9 colocalize at most of their target loci [18]. The localization of HP1 to heterochromatic regions [30] and genes [18] depends on Su(var)3-9, except on chr 4 where HP1 localization depends on Drosophila SETDB1 [31,32]. Several models have been proposed to explain the molecular mechanism of PEV (for an overview see [6]). A requirement for such a model is that it must explain how a gene (such as white in the case of w) is silenced by heterochromatin even though it can be located hundreds of kb away from the heterochromatin-euchromatin junction (see [7] and references therein). A popular model involves the linear propagation of heterochromatin protein complexes in cis along the chromatin fiber ('oozing model'). This would cause a contiguous stretch of originally euchromatic DNA to become invaded by heterochromatin. The endpoint of the new heterochromatin domain may vary between cells, which could account for the variegating silencing. The interactions between H3K9me2/3, HP1 and Su(var)3-9 suggest a model for the mechanism by which heterochromatin could be propagated in cis along the chromatin fiber: When HP1 binds to H3K9me2/3, it recruits Su(var)3-9, which can methylate H3K9 on neighboring histones, which in turn will recruit more HP1 [24,25]. This mechanism is supported by observations in Schizosaccharomyces pombe suggesting that the Su(var)3-9 homolog Clr4 initially methylates H3K9 independent of the HP1 ortholog Swi6, whereas subsequent maintenance and spreading of H3K9 methylation is Swi6 dependent [33]. Some observations in Drosophila challenge the linear propagation model of PEV. Certain genes appear to 'escape' silencing inside a presumed heterochromatic region. For example, close examination of two reporter genes in the wvariant w[34] indicated that the roughest gene, which is farthest from the heterochromatin-euchromatin junction, can be inactive in some cells where white, which is closer to the junction, is active. These and other analyses of reporter genes in a fly PEV model [35,36] argue against linear propagation of silencing. A second model proposes that the formation of a heterochromatin domain may occur in a discontinuous ('hopping') fashion, leaving certain genes in a euchromatic state. This discontinuous binding is explained by local differences in the binding affinity, determined by DNA sequence or epigenetic marks. In support of this, morphologically discontinuous heterochromatin has been observed on polytene chromosomes in regions undergoing PEV [37]. This could explain why silencing can 'skip' some genes. Finally, looping of the chromatin fiber may bring certain genes into contact with a block of pericentric heterochromatin, leading to silencing [38-40], while some genes in the intervening region may remain unaffected [6]. In order to understand the mechanism of PEV and to discriminate between the different models, it is essential to know the precise distribution of heterochromatin along the chromosomal region around the chromosomal rearrangement breakpoints. Here, we report the high-resolution mapping of HP1 in Drosophila along wild-type and wchromosomes. The results reveal that HP1 encroaches into nearly 200 kb of normally euchromatic DNA in w. However, the level of HP1 binding shows substantial local variation along this region, and we find that the majority of genes in this region are not silenced by the invading heterochromatin, possibly because the local binding levels of HP1 are not high enough for effective repression.

Results

The binding pattern of HP1 on wild-type, w, and wX chromosomes

We employed the DamID technique [41] to study the redistribution of HP1 on wchromosomes. DamID was previously used to identify the natural binding sites of Drosophila HP1 in Kc cells [17,18] and in whole adult flies [42]. These studies found a strong enrichment of HP1 in pericentric regions and on chromosome 4, in agreement with immunofluorescence microscopy data [18]. DamID maps of HP1 showed a strong overlap with several other heterochromatin proteins but not with euchromatin proteins [17,18,43]. DamID also confirmed earlier microscopy observations [30], indicating that the binding of HP1 to chromosome 4 is less dependent on the presence of Su(var)3-9 than binding of HP1 to all other chromosomes [18]. These earlier studies thus validated the use of DamID to map HP1 binding. We expressed the Dam-HP1 fusion or unfused Dam from the hsp70 core promoter [42], which at 25°C drives only extremely low expression levels, as confirmed by the lack of a detectable band on a Western blot (Figure 1A). This trace amount of Dam-HP1 expression relative to endogenous HP1 is not only a requirement for DamID [41] but it also ensures that the Dam-HP1 fusion protein does not significantly alter heterochromatin by itself. In order to map HP1 binding on different variants of winverted X chromosomes we downscaled DamID for use in adult fly heads. We used whole heads because chromosomal conformations correlating with an eye phenotype can be readily observed in the central nervous system [38,39]. We examined two different chromosomal inversions, wand w, which display a different eye phenotype but have a very similar chromosomal structure. wmales have almost completely white eyes with only a few red patches, whereas the eyes of wmales are red and resemble wild-type eyes (Figure 1B). The euchromatic breakpoints of the wand winversions are located ~29 and ~25 kb downstream of the transcriptional start of the white gene (see Methods and [34]), which is normally located on the distal tip of the chromosome. The heterochromatic breaks are proximal and distal to the rDNA, in heterochromatin block h28 and h30, respectively [44,45] (Figure 1B). As a control we mapped HP1 on the wild-type X chromosome in the Oregon-R-S strain.
Figure 1

HP1 binding maps. A) Dam-HP1 fusion protein is expressed at very low levels. Western blot is shown of fly head protein extracts of wcontrols (-) or a transgenic line expressing the Dam-HP1 fusion protein from the uninduced hsp70 core promoter (+), probed with an anti-HP1 antibody [16]. Position of HP1 and expected position of (non-detectable) Dam-HP1 fusion protein are marked by arrowheads. B) Cartoon showing the wild-type chr X and the inverted X chromosomes (wand w) used in this study. Inversion breakpoints are indicated with dashed lines. w = white, rst = roughest. Arrow heads (>) indicate the direction on the wild-type chr X. Black-underlined regions are represented on our microarray. Pictures on the right of each chromosome show eye color of representative males. C-D) Chromosomal maps of HP1 binding to ~200 kb regions of chr 2R (C) and chr 4 (D). Grey sticks show wild-type Dam-HP1/Dam binding ratio. Orange and red lines indicate Dam-HP1/Dam binding ratio in wand w, respectively. A running median filter (window size 5) was applied to suppress noise. Genes are plotted as white rectangles. Transposable elements (TEs) are plotted below the genes as grey rectangles. E) Chromosomal map of HP1 binding to the wild-type (Oregon-R-S) chr X for the ~400 kb region surrounding the white gene. Black horizontal line indicates the average Dam-HP1/Dam binding ratio on the first 3.2 Mb of chr X. TE and mini-white sequences possibly cross-hybridize on the microarray and are therefore masked in the plots (indicated with black, uninterrupted thick lines). white is depicted as a red rectangle, crm = cramped, Syx4 = Syntaxin 4. Other features are the same as in C-D. F-G) Chromosomal map of HP1 binding to w(F), and w(G). Vertical dashed line indicates euchromatic inversion breakpoint. In reality the sequence on the right of the break is attached to the pericentric heterochromatin. H) Close-up of the ~90 kb surrounding the white gene (red rectangle). mini-white sequences (hatched rectangles), which are present in the DamID expression vector, possibly cross-hybridize to the endogenous white sequence and are therefore masked. Colors as in E-G.

HP1 binding maps. A) Dam-HP1 fusion protein is expressed at very low levels. Western blot is shown of fly head protein extracts of wcontrols (-) or a transgenic line expressing the Dam-HP1 fusion protein from the uninduced hsp70 core promoter (+), probed with an anti-HP1 antibody [16]. Position of HP1 and expected position of (non-detectable) Dam-HP1 fusion protein are marked by arrowheads. B) Cartoon showing the wild-type chr X and the inverted X chromosomes (wand w) used in this study. Inversion breakpoints are indicated with dashed lines. w = white, rst = roughest. Arrow heads (>) indicate the direction on the wild-type chr X. Black-underlined regions are represented on our microarray. Pictures on the right of each chromosome show eye color of representative males. C-D) Chromosomal maps of HP1 binding to ~200 kb regions of chr 2R (C) and chr 4 (D). Grey sticks show wild-type Dam-HP1/Dam binding ratio. Orange and red lines indicate Dam-HP1/Dam binding ratio in wand w, respectively. A running median filter (window size 5) was applied to suppress noise. Genes are plotted as white rectangles. Transposable elements (TEs) are plotted below the genes as grey rectangles. E) Chromosomal map of HP1 binding to the wild-type (Oregon-R-S) chr X for the ~400 kb region surrounding the white gene. Black horizontal line indicates the average Dam-HP1/Dam binding ratio on the first 3.2 Mb of chr X. TE and mini-white sequences possibly cross-hybridize on the microarray and are therefore masked in the plots (indicated with black, uninterrupted thick lines). white is depicted as a red rectangle, crm = cramped, Syx4 = Syntaxin 4. Other features are the same as in C-D. F-G) Chromosomal map of HP1 binding to w(F), and w(G). Vertical dashed line indicates euchromatic inversion breakpoint. In reality the sequence on the right of the break is attached to the pericentric heterochromatin. H) Close-up of the ~90 kb surrounding the white gene (red rectangle). mini-white sequences (hatched rectangles), which are present in the DamID expression vector, possibly cross-hybridize to the endogenous white sequence and are therefore masked. Colors as in E-G. To identify the DNA from the chromatin that was bound by HP1 in vivo, we designed a high-density 44 K oligonucleotide microarray with 60-mer probes corresponding to unique sequences from the first 3.2 Mb of the X chromosome (chr). As positive control regions we included parts of the genome where HP1 levels are expected to be high, i.e., the centromere-proximal 0.75 Mb of chr 2R, and the complete mostly heterochromatic chr 4 [18,42]. As a negative control region we included a euchromatic 0.5 Mb segment of chr 2R (position 11.4–11.9 Mb), where HP1 binding is restricted to a small number of genes [18,42]. We normalized the log2 binding ratios to the average of this euchromatic chr 2R segment (see Methods). Therefore, positive log2 binding ratios (i.e. ratios > 1) can be interpreted as more HP1 binding than found on average in euchromatin. To visualize the binding of HP1 in adult male heads we made chromosomal maps (Figure 1C–H). In agreement with previous observations [18] we detect high HP1 levels on the centromere-proximal 0.75 Mb part of 2R (data not shown) and along most parts of chr 4 (Figure 1D, and data not shown). Next, we focused on the HP1 binding pattern in a 400 kb region surrounding the white gene (Figure 1E–H). Compared with Oregon-R-S (Figure 1E), HP1 levels on w(Figure 1F) and w(Figure 1G) are clearly elevated in the regions next to the inversion breakpoint. Effects of the inversion are seen on both sides of the euchromatic inversion breakpoint (vertical dotted lines in Figure 1F–H). HP1 levels are elevated over a ~175 kb region stretching from the break towards CG3603, the gene upstream of roughest (rst), and over a ~30 kb region downstream from the break including Syx4, but clearly not crm (Figure 1H). We will refer to this ~200 kb region of the chr X surrounding the euchromatic inversion breakpoint as XSyx4-CG3603. On the wild-type chr X the region corresponding to XSyx4-CG3603 shows no prominent HP1 binding (comparable to the average of the entire X chr), indicating that this region does not possess an intrinsic bias for HP1. In contrast, on wand walmost all microarray probes in this region report elevated levels of HP1. Thus, the inversion induces HP1 association with the entire XSyx4-CG3603 region, although gaps smaller than the estimated resolution of DamID (about 1–2 kb [41]) cannot be ruled out. Despite this apparent contiguous HP1 binding, reproducible local variations in the HP1 DamID signal were observed, with the highest levels of HP1 close to the inversion breakpoint and on the white gene. Overall, the HP1 binding ratios in XSyx4-CG3603 are somewhat lower than those in the pericentric heterochromatic regions of chr 4 and chr 2R (cf. Figure 1D and data not shown). Taken together, these data suggest that wchromosomal inversions induce invasion of HP1 from heterochromatin into the neighboring euchromatic regions. HP1 binds to these regions in a contiguous fashion, but the binding levels show substantial local variation. These HP1 data are consistent with a previous ChIP analysis of a wchromosomal inversion, which detected H3K9me2 in the region from white to rst, with the highest levels on white [46]. Direct comparison reveals that, at the six loci in this region for which H3K9me2 levels are known, an excellent correlation (R2 = 0.96) exists between our HP1 DamID signals and the H3K9me2 ChIP data (Figure 2). From this we conclude that our HP1 maps are of high quality.
Figure 2

Similarity of HP1 and H3K9me2 profiles. Scatter plot comparing the HP1 DamID data with previously published [46] H3K9me2 ChIP data for six loci in the region probed in Figure 1, E-G. HP1 values represent the average of tiling array probes located within 500 bp of the sequences probed in [46]. Grey dots = wild-type; orange dots = w. Orange dotted line represents a linear regression fit to the data.

Similarity of HP1 and H3K9me2 profiles. Scatter plot comparing the HP1 DamID data with previously published [46] H3K9me2 ChIP data for six loci in the region probed in Figure 1, E-G. HP1 values represent the average of tiling array probes located within 500 bp of the sequences probed in [46]. Grey dots = wild-type; orange dots = w. Orange dotted line represents a linear regression fit to the data.

Redistribution of HP1 is mostly restricted to XSyx4-CG3603

The HP1 pattern on the X chromosome outside XSyx4-CG3603 looks highly similar in all genotypes examined (Figure 1D–F, data not shown), suggesting that the wchromosomal inversions affect HP1 binding patterns only locally. To examine this in more detail we calculated the average change in HP1 binding ratios for each of the probed chromosomal segments (Figure 3A). HP1 binding levels in XSyx4-CG3603 are 1.6–1.7-fold higher on wand wcompared with the wild-type X chr, whereas the remainder of the chr X and pericentric heterochromatin on chr 2R were unaltered (< 1.07-fold change). We also noticed a smaller increase (~1.2-fold) in HP1 binding ratios on chr 4, which might be a secondary effect of the X chromosomal inversion, or due to other differences in the genetic background. In any case, the most pronounced effects of the winversions are found locally in XSyx4-CG3603.
Figure 3

Effects of . A) Barplot showing the difference in HP1 binding for each probe on the array averaged per chr. Open bars show difference in binding between wand wild-type, grey bars between wand wild-type. Error bars indicate standard deviation of differences. Xs-c = XSyx4-CG3603; chrX = first 3.2 Mb of chr X excluding XSyx4-CG3603; chr2R = regions of chr 2R that are covered on the microarray; chr4 = chr 4. P value from Wilcoxon rank sum test. B-C) Chromosomal maps of first 3.4 Mb of X chr, with ΔHP1 (average change in log2 HP1 binding ratio) per gene. ΔHP1 between wand Oregon-R-S (B), ΔHP1 between wand Oregons-R-S (C). Black dots show top 5% of genes (n = 16) for which ΔHP1 is largest. Inversion breakpoints are indicated with black dotted lines. D) Bivariate scatterplot of data presented in B and C.

Effects of . A) Barplot showing the difference in HP1 binding for each probe on the array averaged per chr. Open bars show difference in binding between wand wild-type, grey bars between wand wild-type. Error bars indicate standard deviation of differences. Xs-c = XSyx4-CG3603; chrX = first 3.2 Mb of chr X excluding XSyx4-CG3603; chr2R = regions of chr 2R that are covered on the microarray; chr4 = chr 4. P value from Wilcoxon rank sum test. B-C) Chromosomal maps of first 3.4 Mb of X chr, with ΔHP1 (average change in log2 HP1 binding ratio) per gene. ΔHP1 between wand Oregon-R-S (B), ΔHP1 between wand Oregons-R-S (C). Black dots show top 5% of genes (n = 16) for which ΔHP1 is largest. Inversion breakpoints are indicated with black dotted lines. D) Bivariate scatterplot of data presented in B and C. In some rearrangements that give rise to PEV, genes up to ~2 Mb from the breakpoint have been shown to variegate [47]. To systematically identify the genes on chr X where HP1 binding was affected most, we calculated the average change in HP1 binding log-ratio (ΔHP1) for each gene on wand wchromosomes relative to the wild-type chr X (Figure 3B–C). We then selected the top 5% of genes (n = 16) for which ΔHP1 is largest in w(Figure 3B) or w(Figure 3C). Twelve out of 16 affected genes overlap between wand w(Figure 3D), and these genes are all located in the XSyx4-CG3603 region. This result reinforces the notion that effects of the chromosomal inversion on HP1 patterns are mainly found locally.

Increased HP1 binding in XSyx4-CG3603 primarily affects white expression

The white gene is the gene that shows the strongest increase in HP1 levels, both on the wand on the wchr. Nevertheless, the eye color phenotype of these two lines is remarkably different: wmales have almost white eyes, whereas the eye color of wmales is virtually wild type (Figure 1B). From the eye color phenotypes we would predict that the white gene is down regulated in the wline and normally expressed in the wline. To investigate the transcriptional status of white and other genes, we generated microarray expression profiles of male heads from wand wand control Oregon-R-S flies. The MA-plot is a graphical way to visualize expression levels (fluorescence intensity) and change in expression levels (log-ratios) at the same time, that can be used to identify differentially expressed genes. The MA-plot of a set of Oregon-R-S self-self hybridizations (Figure 4A) was used to estimate the biological and technical noise. MA-plots of wagainst Oregon-R-S and wagainst Oregon-R-S are shown in Figure 4B and 4C, respectively. First, we focused on the 20 genes in XSyx4-CG3603 (Table 1). More than half of these genes had an expression level that was too low to allow detection of differential expression on our microarray platform (Table 1, genes with A < 7, stringent and arbitrary cutoff). These genes are in the left part of the A-axis in Figure 4B and 4C. Eight out of 20 genes were expressed at sufficient levels (A > 7) to detect their possible differential expression. As expected, white was down-regulated in w(log2 ratio = -2.11, P < 10-45, Figure 4B and Table 1) but not in w(log2 ratio = -0.21, P = 0.18, Figure 4C). Other than white only one out of the eight genes (CG14419) showed a modest down-regulation (log2 ratio = -1.10) in wcompared with Oregon-R-S, while none of the other genes displayed a detectable reduction in their expression. In wnone of the eight genes was more than about 30% up- or down-regulated compared with Oregon-R-S (Table 1).
Figure 4

Expression profiling shows that . A-C) MA plots of expression profiles of log2 Oregon-R-S Self-self (A), log2 (w/Oregon-R-S) (B), and log2 (w/Oregon-R-S) (C), respectively. In these plots, for each gene, change in expression (log2) is plotted against the expression level. A = average fluorescence intensity (log2 √(Cy5xCy3)). Dashed lines indicate four times the standard deviation. D) qRT-PCR measurements of changes in gene expression in wmutants versus wild-type (Oregon-R-S). Bars show average log2 ratios of five replicate experiments. Error bars represent standard deviations. Expression levels were normalized to the housekeeping gene Ide, which is located on chr 3L; arm is located outside of XSyx4-CG3603 and serves as an additional control.

Table 1

Microarray expression profiling.

wm4e/Oregon-R-Swm51b/Oregon-R-S
CGFBgnGene symbolStart (on chr X)End (on chr X)M (log2 ratio)APM (log2 ratio)AP-value

CG13373FBgn0029522371554372216-0.206.764.79E-010.026.699.30E-01
CG2715FBgn0024980Syx4263312026380990.257.562.04E-040.127.269.16E-03
CG32795FBgn004038426769392683975-0.047.985.46E-01-0.057.644.91E-01
CG2759FBgn0003996w26846322690499-2.117.81< 10E-45-0.218.281.83E-01
CG12498FBgn0040356270400027047850.036.145.43E-010.016.167.97E-01
CG14416FBgn0040352276602327668540.006.029.59E-01-0.086.042.69E-01
CG14417FBgn0040353276956427705560.056.076.13E-010.056.136.24E-01
CG14418FBgn0040354277659927776660.016.249.31E-010.016.209.03E-01
CG14419FBgn002963927792142779944-1.108.085.92E-250.228.061.51E-01
CG3526FBgn004035527859952787916-0.026.748.28E-01-0.066.595.71E-01
CG3588FBgn0025643281380328184160.048.866.84E-010.168.306.99E-02
CG14424FBgn0025644282008228212020.046.066.40E-010.016.129.17E-01
CG32793FBgn005279328238292826575-0.136.357.77E-02-0.026.227.40E-01
CG3592FBgn0029642282920328299520.057.443.64E-010.407.259.45E-20
CG3598FBgn0025645283116128319790.016.169.35E-010.126.111.54E-01
CG14420FBgn0029643283288928345740.096.154.12E-01-0.016.159.33E-01
CG14421FBgn002964428355152836303-0.249.314.56E-05-0.378.676.98E-13
CG14422FBgn0029645283750928385290.096.162.98E-01-0.016.179.32E-01
CG14423FBgn0029646283943628406290.016.149.32E-010.006.139.59E-01
CG17959FBgn0029647284113828415840.006.849.72E-01-0.096.694.91E-01
CG3603FBgn002964828420692842983-0.077.685.62E-01-0.307.097.66E-03
CG3939FBgn0040396306915230702570.238.856.61E-030.108.461.38E-01

In bold, top 5% genes with highest ΔHP1; CG = gene ID; FB = FlyBase gene ID; M = change in expression level (log2); A = expression level.

Microarray expression profiling. In bold, top 5% genes with highest ΔHP1; CG = gene ID; FB = FlyBase gene ID; M = change in expression level (log2); A = expression level. Expression profiling shows that . A-C) MA plots of expression profiles of log2 Oregon-R-S Self-self (A), log2 (w/Oregon-R-S) (B), and log2 (w/Oregon-R-S) (C), respectively. In these plots, for each gene, change in expression (log2) is plotted against the expression level. A = average fluorescence intensity (log2 √(Cy5xCy3)). Dashed lines indicate four times the standard deviation. D) qRT-PCR measurements of changes in gene expression in wmutants versus wild-type (Oregon-R-S). Bars show average log2 ratios of five replicate experiments. Error bars represent standard deviations. Expression levels were normalized to the housekeeping gene Ide, which is located on chr 3L; arm is located outside of XSyx4-CG3603 and serves as an additional control. To verify our microarray expression data we used quantitative RT-PCR (qRT-PCR) to determine the relative expression of several genes (Figure 4D). This confirmed that white is down-regulated in w(P = 2*10-4, Student's t-test) but not in w(P = 0.48). None of three other tested genes in XSyx4-CG3603, including CG14419, showed significant down-regulation in either wor w. Taken together, these results identify white as the gene with the most prominent response to heterochromatin, while other genes in the XSyx4-CG3603 region are not (or only marginally) affected, despite the fact that they show elevated HP1 levels.

Chromatin accessibility changes in XSyx4-CG3603

Heterochromatin formation is generally thought to lead to increased compaction of chromatin. Previously it was shown that upon heterochromatinization various genes in yeast and flies become less accessible to methylation by (unfused) Dam [48-51]. To study the effects of the wrearrangements on chromatin accessibility, we analyzed the methylation levels as reported by the Dam-only channel of our DamID microarray data. Indeed, a majority of probes in the XSyx4-CG3603 region show a reduction in methylation by Dam-only in wand wflies compared with wild-type flies (Figure 5A and data not shown). This change is not found outside of the XSyx4-CG3603 region, which is consistent with the unaltered binding of HP1. In contrast to Dam-only, the Dam-HP1 methylation channel shows a specific enrichment in the XSyx4-CG3603 region (Figure 5B), due to targeting of the fusion protein to heterochromatin. These data show that the invasion of HP1 due to wrearrangements is accompanied by a general decrease in chromatin accessibility.
Figure 5

Specific reduction of chromatin accessibility in X. A) Changes in chromatin accessibility determined from the Dam-only channel for all tiling array probes inside or outside the XSyx4-CG3603 region. Data are shown as 'density plots', which are smoothed histograms. B) Changes in methylation by Dam-HP1 fusion protein. C) Changes in chromatin accessibility in promoters (1 kb regions upstream of transcription start sites) and transcription units in the XSyx4-CG3603 region. P-value according to Wilcoxon rank test.

Specific reduction of chromatin accessibility in X. A) Changes in chromatin accessibility determined from the Dam-only channel for all tiling array probes inside or outside the XSyx4-CG3603 region. Data are shown as 'density plots', which are smoothed histograms. B) Changes in methylation by Dam-HP1 fusion protein. C) Changes in chromatin accessibility in promoters (1 kb regions upstream of transcription start sites) and transcription units in the XSyx4-CG3603 region. P-value according to Wilcoxon rank test. Because the expression levels of all genes in XSyx4-CG3603 except white are not detectably altered in wflies (Figure 4), we wondered whether the compaction of chromatin may be restricted to intergenic regions. Subsequent analysis revealed that promoters of the genes in XSyx4-CG3603 show a significant reduction in accessibility (Figure 5C). At the same time, the accessibility of the coding regions of these genes is not reduced. These results suggest that heterochromatinization differentially affects the accessibility of promoters and coding regions. The reduction in promoter accessibility at most genes in XSyx4-CG3603 is apparently not sufficient to cause detectable changes in gene expression, except in the case of white.

HP1 binding to XSyx4-CG3603 is unusually sensitive to Su(var)3-9 dosage

Su(var)3-9 is one of the strongest modifiers of PEV known [52]. It was previously shown that the loss of a single allele of Su(var)3-9 dramatically decreases the silencing of reporter genes, including white, in a number of PEV reporter assays [53]. Indeed, heterozygous loss of Su(var)3-9 changes the eye color of wmales from nearly white to almost completely red (inset Figure 6A). This suggested that heterozygous loss of Su(var)3-9 may lead to destabilization of heterochromatin in the XSyx4-CG3603 region. To test this, we constructed HP1 binding maps in heads of mutant w; Su(var)3-9/+ males, and of sibling w;+/TM3, Sb Ser control males. Flies carrying the TM3 balancer chromosome were used as a control because this balancer does not affect PEV [54-56]. The wand wX chromosomes originate from the same fly stock [34] and we confirmed that they have the same euchromatic breakpoint (see Methods). The binding maps of the control flies showed elevated HP1 levels in XSyx4-CG3603 on w, very similar to w(Figure 6A and 6B). In contrast, heterozygous loss of Su(var)3-9 leads to a modest (log2 ratio -0.27, corresponding to ~0.8-fold) but statistically significant reduction of HP1 binding to XSyx4-CG3603 (Figure 6B and 6E), and especially to white (Figure 6B). Unlike in the XSyx4-CG3603 region, the HP1 levels on the probed heterochromatic segments of chr 2R and 4 are not affected by heterozygous loss of Su(var)3-9 (Figure 6C–E).
Figure 6

Removal of one dose of . A) Chromosomal maps of HP1 binding in heterozygous Su(var)3-9and control flies. The Su(var)3-9allele is effectively a null allele [67]. HP1 binding profiles are shown for the same ~400 kb region as in Figure 1, E-G. Black dashed line indicates inversion breakpoint. Inset: eye color in Su(var)3-9/+ and control male flies. B) Close up to ~90 kb region surrounding white; same region is plotted as in Figure 1H. C-D) Chromosomal maps of HP1 binding to parts of chr 2R and chr 4. E) Bar plot showing the average difference in HP1 binding (for each probe on the microarray averaged per chromosome) between control (w;+/balancer) and the mutant w; Su(var)3-9/+. Xs-c = XSyx4-CG3603 region; chrX = the first 3.2 Mb of the chr X excluding XSyx4-CG3603; chr2R = the parts of chr 2R that are covered on our array. Difference between XS-C and chrX, -0.27 log2; P-value < 2.2*10-16; Wilcoxon rank sum test. F) Chromosomal maps of first 3.4 Mb of X chr, with ΔHP1 (average change in log2 HP1 binding ratio) per gene. ΔHP1 between w; Su(var)3-9/+ and control (w;+/balancer), Black dots show bottom 5% of genes (n = 16) for which ΔHP1 is largest. Black dotted line indicates inversion breakpoint.

Removal of one dose of . A) Chromosomal maps of HP1 binding in heterozygous Su(var)3-9and control flies. The Su(var)3-9allele is effectively a null allele [67]. HP1 binding profiles are shown for the same ~400 kb region as in Figure 1, E-G. Black dashed line indicates inversion breakpoint. Inset: eye color in Su(var)3-9/+ and control male flies. B) Close up to ~90 kb region surrounding white; same region is plotted as in Figure 1H. C-D) Chromosomal maps of HP1 binding to parts of chr 2R and chr 4. E) Bar plot showing the average difference in HP1 binding (for each probe on the microarray averaged per chromosome) between control (w;+/balancer) and the mutant w; Su(var)3-9/+. Xs-c = XSyx4-CG3603 region; chrX = the first 3.2 Mb of the chr X excluding XSyx4-CG3603; chr2R = the parts of chr 2R that are covered on our array. Difference between XS-C and chrX, -0.27 log2; P-value < 2.2*10-16; Wilcoxon rank sum test. F) Chromosomal maps of first 3.4 Mb of X chr, with ΔHP1 (average change in log2 HP1 binding ratio) per gene. ΔHP1 between w; Su(var)3-9/+ and control (w;+/balancer), Black dots show bottom 5% of genes (n = 16) for which ΔHP1 is largest. Black dotted line indicates inversion breakpoint. To systematically identify the genes on chr X that show the strongest reduction of HP1 after removal of one allele of Su(var)3-9, we calculated the change in HP1 binding per gene (Figure 6F) and selected the bottom 5% of genes (n = 16). Ten out of these 16 genes are located in the XSyx4-CG3603 region. Interestingly, these 10 genes are the same genes that gain HP1 on wand w. Thus, HP1 binding to the XSyx4-CG3603 region of wis exceptionally sensitive to the levels of Su(var)3-9, whereas HP1 binding to other heterochromatic regions is more robust.

Heterozygous loss of Su(var)3-9 specifically affects expression of white

To examine the effect of heterozygous Su(var)3-9 loss on the expression of white and other genes, we made expression profiles in male heads from mutant w; Su(var)3-9/+ and control w;+/TM3, Sb Ser flies (Figure 7A and 7B). The MA-plot of the mutant w; Su(var)3-9/+ shows that only two of the 16 genes at which HP1 levels are most decreased (i.e. genes indicated with black dots in Figure 6F) also have an altered expression level (Figure 7B). These genes are white, which is expressed ~3-fold higher (log2 ratio = 1.56, P = 4.2*10-41), and CG14419, which is expressed slightly lower (log2 ratio = -0.38, P = 2.1*10-8). To confirm this result we repeated the microarray experiment using w1118 flies, instead of Oregon-R-S as source of the wild-type Y chromosome and autosomes. The correlation between these two experiments was high (Spearman's rho = 0.54, P < 2.2*10-16, data not shown). We confirmed the up-regulation of white (log2 ratio = 1.28, P < 10-45), and found that CG14419 was slightly, but not significantly, down-regulated (log2 ratio = -0.16, P = 0.02).
Figure 7

No correlation between change in HP1 binding (ΔHP1) and change in gene expression. A-B) MA-plots of expression profiles. Control (w;+/balancer) self-self (A) and w; Su(var)3-9/+/control (B). Otherwise graphs have same layout and color usage as in Figure 4, A-C. C) Bivariate scatter plot of ΔHP1 against change in gene expression of w; Su(var)3-9/+/control (w;+/balancer).

No correlation between change in HP1 binding (ΔHP1) and change in gene expression. A-B) MA-plots of expression profiles. Control (w;+/balancer) self-self (A) and w; Su(var)3-9/+/control (B). Otherwise graphs have same layout and color usage as in Figure 4, A-C. C) Bivariate scatter plot of ΔHP1 against change in gene expression of w; Su(var)3-9/+/control (w;+/balancer). Su(var)3-9 loss possibly affects HP1 binding and gene expression levels outside the XSyx4-CG3603 region. However, a bivariate scatterplot (Figure 7C) did not reveal any correlation between the changes in HP1 binding and the changes in expression level (Spearmans's rho = -0.08). This suggests that there is no association between HP1 loss and change in gene expression outside XSyx4-CG3603. Thus, in a wbackground, loss of one allele of Su(var)3-9 mainly affects the expression level of white. None of the other genes in the XSyx4-CG3603 region are upregulated as a result of the reduced Su(var)3-9 dosage.

Embryonic expression levels of genes in XSyx4-CG3603 do not explain the lack of repression in wlines

It has been suggested that binding of transcriptional activators to the promoter can counteract heterochromatin-mediated silencing [57]. This protection was shown to depend on the level and timing of transcriptional activator expression. In particular, promoter activation in the embryonic stage could prevent silencing of a reporter later in development [57]. To investigate whether such a phenomenon may explain the preferential silencing of white by heterochromatin, we analyzed the embryonic expression levels [58] of all 20 genes in the XSyx4-CG3603 region (Figure 8). Several of these genes are expressed at even lower levels than white, suggesting that the absence of embryonic activity of white is not the sole determinant of its preferential silencing by heterochromatin.
Figure 8

Expression levels of all 20 genes in X. Expression data from wild-type embryos at two different stages are from [58]. Red dot represents the white gene.

Expression levels of all 20 genes in X. Expression data from wild-type embryos at two different stages are from [58]. Red dot represents the white gene.

Discussion

The ability of heterochromatin to invade neighboring euchromatin was previously demonstrated by chromatin immunoprecipitation mapping studies in fission yeast (reviewed in [3,59]). In multicellular eukaryotes, HP1-containing chromatin is known to be able to associate with long stretches of DNA in a natural setting [17,19], but it has remained unclear how HP1 is redistributed in the context of PEV. In this study we have generated a high-resolution binding map of Drosophila HP1, a defining marker of heterochromatin, in the white-mottled PEV model. This model has been studied for more than 70 years but the underlying molecular events have remained enigmatic. On both wand wchromosomes we found that HP1 invades originally euchromatic regions to form new clearly defined heterochromatin domains. In total ~200 kb of DNA, including white and 19 other genes, is covered de novo by HP1. The pattern of HP1 fluctuations is highly reproducible between the wand wlines, and is therefore not due to random noise. A previous report found elevated H3K9me2 levels at selected loci on wand proposed a gradient of heterochromatin from the breakpoint [46]. However, this study lacked the probing density required to determine the exact binding pattern, and our high-resolution map does not support a simple gradient model. A second study examined the T(2;3)ltreciprocal translocation and observed an overall enrichment of H3K9me2, with substantial local variation, extending ~200 kb across the breakpoint [60]. Our data show that also the absolute levels of HP1 binding in the newly formed heterochromatin domains display considerable local variation. These results suggest an intermediate model between the previously proposed oozing and hopping models of PEV. Increased levels of HP1 are found along the entire XSyx4-CG3603 region, which is compatible with processive assembly of heterochromatin as in the oozing model. However, the variation in HP1 levels indicates that DNA sequence or epigenetic determinants locally modulate the efficiency of HP1 binding, as is inherent to the hopping model. This variation of HP1 density along the chromosomal region is consistent with earlier observations. Discontinuities in the compaction of PEV regions have been observed at much lower resolution in polytene chromosomes [37], and examples have been reported of PEV in which a gene proximal to a heterochromatin block is transcribed while a more distal gene is silenced [34,35]. Hence, heterochromatin in PEV models can exhibit local differences in the level of HP1 binding and variation in the effect on gene expression. A surprising result of our systematic study is that white is the only gene that is strongly repressed as a consequence of the invasion of heterochromatin. This finding is remarkable in the light of the important contributions of the white-mottled model to our understanding of heterochromatin. In hindsight, the behavior of white appears not to be prototypical of euchromatic genes that are brought into a heterochromatic environment. Genes may differ in their intrinsic response thresholds to heterochromatin levels [61], and white is perhaps particularly sensitive in this respect. The silencing of white by heterochromatin also contrasts with genome-wide mapping data that demonstrate that hundreds of genes are naturally bound by HP1, yet most of these are normally expressed [17], possibly because the binding levels of HP1 are below the threshold level that would cause their repression. Examples of genes that are bound and repressed by HP1 in their natural genomic context [21,62,63] are still rare. Some genes, particularly genes embedded in pericentric heterochromatin, may have evolved to become activated rather than repressed by heterochromatin, via a still unknown mechanism [64]. Thus, white may in fact be a 'red herring' that nevertheless has provided many insights into heterochromatin structure and function. The variable effects on gene expression may be tightly linked to the local level of binding by heterochromatin proteins. Indeed, on w, the white gene has the highest level of HP1 binding of all genes in XSyx4-CG3603, and white is also most strongly repressed. Slightly lower levels of HP1 on the white gene on w, and the reduction in HP1 binding to white on wupon loss of one Su(var)3-9 allele, both correlate with the restoration of white expression to near-wild-type levels. This all-or-none expression is a striking feature of PEV [65], and suggests that white has a threshold for heterochromatin mediated silencing. The other genes in the XSyx4-CG3603 region show typically lower levels of HP1 binding than white, and may not be silenced effectively because their threshold of epigenetic silencing is not reached. HP1 binding to the XSyx4-CG3603 region is more sensitive to Su(var)3-9 dosage than regions that are naturally heterochromatic, such as chr 4 and pericentric heterochromatin of chr 2R. For stable heterochromatin formation, certain cis-acting elements may be necessary that might be lacking in the XSyx4-CG3603 region. Previous studies have indicated that repeat elements act cooperatively to stabilize heterochromatin [2,42,66]. The relatively low repeat content of XSyx4-CG3603 may explain the unusual sensitivity of HP1 binding in this region to the loss of one functional Su(var)3-9 allele. In addition, genes in this region may be relatively rich in binding sites for transcription regulators that counteract heterochromatin formation. The epigenetic switching of white, resulting in all-or-none expression in the fly eye, can also be better understood by our observations. Our data indicate that the level of heterochromatin on white in wis only a little bit above the silencing-threshold. Our data also show that small changes in heterochromatin levels especially affect the XSyx4-CG3603 region. As a result, subtle stochastic differences between cells, in for example the expression level of heterochromatin proteins, may especially change the transcriptional output of white. At the same time these small stochastic differences between cells will not affect the more stable natural heterochromatic regions. It has been suggested that the range of heterochromatic spreading may be modulated by Su(var) proteins [46,67]. Our data indicate that Su(var)3-9 does not control the extent of spreading of HP1, because the borders of the de novo heterochromatin regions in wdo not shift upon the reduction of Su(var)3-9 dosage. Instead, we observe a general reduction of HP1 binding levels across most of the XSyx4-CG3603 region. This does not rule out that other Su(var) proteins may regulate the extent of spreading.

Conclusion

Here we provide a detailed view of the linear organization of heterochromatin along the genomic regions involved in PEV. We find that HP1 invades euchromatin across the inversion breakpoints over ~175 kb and ~30 kb, causing de novo association of HP1 with 20 genes. The local variation of HP1 binding levels suggests an intricate interplay between heterochromatin proteins and local sequence context. The white gene has an unusual intrinsic affinity for heterochromatin, which may render this gene more easily silenced by heterochromatin than most other genes. Moreover, HP1 binding to the invaded region is exceptionally sensitive to the dosage of the histone methyltransferase Su(var)3-9, indicating that the de novo formed heterochromatin is less stable than most pericentric heterochromatin. Taken together, our molecular maps demonstrate that heterochromatin can invade a normally euchromatic region, yet the strength of HP1 binding and effects on gene expression are highly dependent on local context.

Methods

Fly stocks

Oregon-R-S (#4269) and w(#3605) were obtained from Bloomington Drosophila Stock center. The w;Su(var)3-9/TM3, Sb Ser stock, In(1)w,wct and In(1)w,w(denoted as wand w, collectively referred to as w) were kindly provided by P Talbert, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. The inverted X chromosomes in these stocks are described in [34]. We examined the positions of the euchromatic inversion breakpoints of the w, wand wstocks by PCR (data not shown). The wbreak is located between position 2,665,094 and 2,666,052 (R5), and the wand wbreaks are both between position 2,661,012 and 2,662,278, which is ~1,000 bp more upstream than was previously thought [44]. This corresponds to ~(24.5–25.5) and ~(28.2–29.5) kb upstream of the beginning of the white gene (R5.4). The Dam-HP1 transgenic line (w;P{Dam-Myc-HP1,w+} HP23/TM6B) was made in parallel with the Dam-HP1 transgenic line used in [42], but has not been published before. Dam-only transgenic lines (w; P{Dam, w+} 1-1M/TM6B and w; P{Dam, w+} 1-4M/CyO) were constructed for this study. The SacII/EcoRI fragment from pNDamMyc [68] encoding Myc tagged EcoDam was cloned into pUAST [69]. Germline transformations into wwere done by BestGene Inc, Chino Hills, CA, USA. Transformants were identified by their eye color and balanced. Dam and Dam-HP1 expression are driven from the un-induced, truncated heat-shock promoter in pUAST, yielding extremely low expression levels below the detection limit of Western blotting or immunofluorescence microscopy [68]. Thus, it is highly unlikely that the Dam-HP1 protein itself will alter heterochromatin structure.

Fly crosses and culture conditions

Flies were raised at 25°C on standard cornmeal/molasses/agar medium. For DamID of HP1 we crossed w, wor Oregon-R-S virgin females to Dam (line 1-4M) and Dam-HP1 males. The heads of male progeny (expressing the Dam transgene and containing an inverted X chromosome) were removed using a razor blade, stored at -80°C and used for DamID. To map HP1 in presence of heterozygous Su(var)3-9, we crossed w;Su(var)3-9/TM3, Sb Ser virgin females to Dam (line 1-1M) and Dam-HP1 males, which both have the transgenes inserted in the 3rd chr. Heads of male progeny expressing Dam or Dam-HP1 and heterozygous for Su(var)3-9, and heads of males expressing Dam or Dam-HP1 and with balancer (TM3, Sb Ser) were collected. For expression profiling we crossed w;Su(var)3-9/TM3, Sb Ser virgin females to Oregon-R-S or wmales. Heads of male progeny with and without Su(var)3-9were collected. Heads were collected < 25 hours after eclosion.

Expression profiles

Total RNA was extracted from fly heads using Trizol (Invitrogen-Life Technologies). Labeling and hybridizations were done according to standard protocols [70] using printed oligonucleotide arrays [70]. Spot fluorescence ratios were normalized using a lowess fit per subarray [72]. Each set (e.g. wvs. Oregon-R-S, or w;Su(var)3-9/+ vs. w;+/TM3, Sb Ser) consisted of four hybridizations: two biological replicates were each done in a technical dye-swap fashion. Replicates were combined into weighted average ratio and confidence level (P-value) was calculated per gene using an error model [73], which was fine-tuned by self-self hybridizations.

Quantitative RT-PCR

Total RNA was DNAse treated and reverse transcribed (Invitrogen, ThermoScript RT-PCR System for first-strand cDNA synthesis). qPCRs were run using TaqMan chemistry on a BioRad DNA Engine Peltier thermal cycler. Primers and probe sequences are available upon request. Expression levels of each gene were normalized to Ide, a housekeeping gene located on 3L. For each of the genotypes w, wand Oregon-R-S five RNA isolations (20 fly heads per isolation) were done, and normalized expression ratios were calculated for randomly selected w/Oregon-R-S pairs. The resulting five ratios were averaged and are plotted in Figure 3D.

DamID

DamID was done as described [42] with minor modifications. Detailed protocols are available at [74]. For each microarray hybridization the experimental and reference sample consisted of five heads each. Each experiment consisted of four hybridizations using biologically independent samples. 1 μg of amplified methylated DNA was labeled with ULS Cy-dyes (Kreatech, Amsterdam, The Netherlands). Dam-HP1 and Dam-only methylated DNA was co-hybridized in a two-color design on a custom-designed 4 × 44 K Agilent microarray. The Dam-HP1/Dam-only methylation ratio represents the level of HP1-targeted methylation, corrected for local differences in chromatin accessibility [41]. Probe sequences are based on the complete Drosophila melanogaster genome sequence, release 5, downloaded from [75] on March 7, 2007. Median probe spacing is 136 bp. Probe sequences do not contain GATC, the recognition sequence of Dam.

Data analysis

All statistical analyses were performed in the R language and environment [76]. DamID data were normalized using R-packages limma [77] and vsn [78]. Raw data files were loaded in R and the weight of control spots was set to zero to exclude them from the results. We did not apply background correction to the data. Data was initially normalized between different arrays (method = 'vsn') and subsequently to the mean log2 binding ratio in the euchromatic part of 2R. Hence, a log-ratio of 0 corresponds to the mean HP1 binding level found in euchromatin. Because Dam and HP1-Dam transgenic flies were made using mini-white (w+) as a marker gene, all array probes overlapping with mini-white were excluded from analysis.

Data availability

DamID and expression data are available from the Gene Expression Omnibus [79], accession GSE12395.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MJV carried out DamID and expression profiling experiments, MJV, LP, and BvS performed data analysis. LP designed the microarray for DamID. MN and RMK performed all microarray hybridizations. MJV and WT conducted qRT-PCR experiments, and WT performed Western blotting. BvS and MJV conceived of the study, designed the experiments, and wrote the manuscript. All authors read and approved the final manuscript.
  71 in total

1.  Role of histone H3 lysine 9 methylation in epigenetic control of heterochromatin assembly.

Authors:  J Nakayama ; J C Rice; B D Strahl; C D Allis; S I Grewal
Journal:  Science       Date:  2001-03-15       Impact factor: 47.728

2.  Heterochromatic silencing of Drosophila heat shock genes acts at the level of promoter potentiation.

Authors:  D E Cryderman; H Tang; C Bell; D S Gilmour; L L Wallrath
Journal:  Nucleic Acids Res       Date:  1999-08-15       Impact factor: 16.971

3.  Physical and functional association of SU(VAR)3-9 and HDAC1 in Drosophila.

Authors:  B Czermin; G Schotta; B B Hülsmann; A Brehm; P B Becker; G Reuter; A Imhof
Journal:  EMBO Rep       Date:  2001-09-24       Impact factor: 8.807

Review 4.  Spreading of silent chromatin: inaction at a distance.

Authors:  Paul B Talbert; Steven Henikoff
Journal:  Nat Rev Genet       Date:  2006-10       Impact factor: 53.242

Review 5.  Functions of site-specific histone acetylation and deacetylation.

Authors:  Mona D Shahbazian; Michael Grunstein
Journal:  Annu Rev Biochem       Date:  2007       Impact factor: 23.643

Review 6.  Transcription and RNA interference in the formation of heterochromatin.

Authors:  Shiv I S Grewal; Sarah C R Elgin
Journal:  Nature       Date:  2007-05-24       Impact factor: 49.962

7.  Perturbation of nuclear architecture by long-distance chromosome interactions.

Authors:  A F Dernburg; K W Broman; J C Fung; W F Marshall; J Philips; D A Agard; J W Sedat
Journal:  Cell       Date:  1996-05-31       Impact factor: 41.582

8.  Genome-wide HP1 binding in Drosophila: developmental plasticity and genomic targeting signals.

Authors:  Elzo de Wit; Frauke Greil; Bas van Steensel
Journal:  Genome Res       Date:  2005-08-18       Impact factor: 9.043

9.  Epigenetic regulation of the Drosophila chromosome 4 by the histone H3K9 methyltransferase dSETDB1.

Authors:  Tsai-Yu Tzeng; Chi-Hua Lee; Li-Wei Chan; C-K James Shen
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-25       Impact factor: 11.205

10.  Targeted gene expression as a means of altering cell fates and generating dominant phenotypes.

Authors:  A H Brand; N Perrimon
Journal:  Development       Date:  1993-06       Impact factor: 6.868

View more
  25 in total

1.  Plasticity in patterns of histone modifications and chromosomal proteins in Drosophila heterochromatin.

Authors:  Nicole C Riddle; Aki Minoda; Peter V Kharchenko; Artyom A Alekseyenko; Yuri B Schwartz; Michael Y Tolstorukov; Andrey A Gorchakov; Jacob D Jaffe; Cameron Kennedy; Daniela Linder-Basso; Sally E Peach; Gregory Shanower; Haiyan Zheng; Mitzi I Kuroda; Vincenzo Pirrotta; Peter J Park; Sarah C R Elgin; Gary H Karpen
Journal:  Genome Res       Date:  2010-12-22       Impact factor: 9.043

2.  The Differences Between Cis- and Trans-Gene Inactivation Caused by Heterochromatin in Drosophila.

Authors:  Yuriy A Abramov; Aleksei S Shatskikh; Oksana G Maksimenko; Silvia Bonaccorsi; Vladimir A Gvozdev; Sergey A Lavrov
Journal:  Genetics       Date:  2015-10-23       Impact factor: 4.562

3.  Targeting of P-Element Reporters to Heterochromatic Domains by Transposable Element 1360 in Drosophila melanogaster.

Authors:  Kathryn L Huisinga; Nicole C Riddle; Wilson Leung; Shachar Shimonovich; Stephen McDaniel; Alejandra Figueroa-Clarevega; Sarah C R Elgin
Journal:  Genetics       Date:  2015-12-17       Impact factor: 4.562

Review 4.  Position-effect variegation, heterochromatin formation, and gene silencing in Drosophila.

Authors:  Sarah C R Elgin; Gunter Reuter
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-08-01       Impact factor: 10.005

Review 5.  Chromatin: constructing the big picture.

Authors:  Bas van Steensel
Journal:  EMBO J       Date:  2011-04-28       Impact factor: 11.598

6.  Generalized nucleation and looping model for epigenetic memory of histone modifications.

Authors:  Fabian Erdel; Eric C Greene
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-05       Impact factor: 11.205

Review 7.  Locking the genome: nuclear organization and cell fate.

Authors:  Peter Meister; Susan E Mango; Susan M Gasser
Journal:  Curr Opin Genet Dev       Date:  2011-02-21       Impact factor: 5.578

8.  Bayesian network analysis of targeting interactions in chromatin.

Authors:  Bas van Steensel; Ulrich Braunschweig; Guillaume J Filion; Menzies Chen; Joke G van Bemmel; Trey Ideker
Journal:  Genome Res       Date:  2009-12-09       Impact factor: 9.043

9.  Epigenetics & Chromatin celebrates its first anniversary.

Authors:  Steven Henikoff; Frank Grosveld
Journal:  Epigenetics Chromatin       Date:  2009-11-02       Impact factor: 4.954

10.  A direct role for cohesin in gene regulation and ecdysone response in Drosophila salivary glands.

Authors:  Andrea Pauli; Joke G van Bemmel; Raquel A Oliveira; Takehiko Itoh; Katsuhiko Shirahige; Bas van Steensel; Kim Nasmyth
Journal:  Curr Biol       Date:  2010-10-07       Impact factor: 10.834

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.