XB-ART-60326
Elife
2023 Oct 03;12. doi: 10.7554/eLife.83952.
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Hybridization led to a rewired pluripotency network in the allotetraploid Xenopus laevis.
Phelps WA
,
Hurton MD
,
Ayers TN
,
Carlson AE
,
Rosenbaum JC
,
Lee MT
.
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Species referenced: Xenopus tropicalis Xenopus laevis
Genes referenced: hes3 homer1 lrrfip1 pou5f3 pou5f3.2 pou5f3.3 sox2 sox3
GO keywords: zygotic genome activation
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Figure 1 with 1 supplement Identifying the first wave of genome activation across the two subgenomes. (A) The allotetraploid X. laevis genome contains two distinct subgenomes “L” and “S” due to interspecific hybridization of ancestral diploids. (B) Triptolide inhibits genome activation, as measured in the late blastula, while cycloheximide inhibits only secondary activation, distinguishing genes directly activated by maternal factors. NF = Nieuwkoop and Faber. (C) Heatmap of RNA-seq coverage over exons (left) and introns (right) of activated genes. | |
Figure 1—figure supplement 1 Measuring genome activation. (A) (Top) Animal and vegetal views of embryos treated with DMSO (vehicle) versus triptolide. Triptolide-treated embryos fail to gastrulate. (Bottom) Comparison of DMSO versus cycloheximide treated embryo. Treatment was at stage 8, which inhibits progression to stage 9. Scale bar = 0.5 mm. (B) Biplot of RNA-seq for untreated versus DMSO-treated embryos at stage 9, showing no effect on the transcriptome. (C) Biplot of RNA-seq for DMSO versus triptolide treated embryos, showing inhibited activation as detected by exonic (purple) and intronic (green) signal. The predicted mir-427 primary transcript is labeled and exhibits >95% expression inhibition. (D) Histogram of mRNA percent identity between homeolog pairs, as measured by Needleman-Wunsch alignment. Maximum is 0.975 (5 in every 200 bases, which should be generally distinguishable by RNA-seq using 2x100 sequencing reads). | |
Figure 2 with 2 supplements Homeologous genes are differentially activated in the early embryo. (A) Proportion of genes encoded as homeologs on both subgenomes versus only one subgenome (singleton) (left), as compared to expression patterns in the early embryo. p Values are from χ-squared tests, 10 d.o.f., comparing genomic to expressed proportions, 16 d.o.f., comparing proportions between activated genes and the maternal contribution, 12 d.o.f., comparing proportions at subsequent stages of activation. (B) Browser tracks showing log2 reads-per-million RNA-seq coverage of equivalently activated homeologs (top) and differentially activated homeologs (L-specific, middle; S-specific, bottom). Trip = triptolide, CHX = cycloheximide. (C) Biplot comparing log2 fold primary activation over triptolide treated embryos for the S homeolog (x axis) versus the L homeolog. (D) Left, proportion of genes activated symmetrically or asymmetrically from the L or S subgenomes, stratified into whether there is a maternal contribution for either homeolog (MZ) or not (Z) (p=0.02, χ-squared test, 4 d.o.f.); and whether a gene is activated only in the stage 9 blastula or is additionally increased in only one or more than one differentiated lineage from stages 10–13 (p=1.3 × 10–22, χ-squared test, 8 d.o.f.). Right, homeolog proportions of later gene activation in epidermal (Epi), neural progenitor (Neur), ventral mesodermal (Meso), and endodermal (Endo) lineages from stages 10–13 (p=3.3 × 10–64, χ-squared test comparing stage 9 and the four lineages, 16 d.o.f.). Lineage-specific gene expression data are from Johnson et al., 2022. (E) Homeolog-specific stage 9 activation proportions, versus maternal contribution homeolog expression patterns, for maternal-zygotic genes. (F) Concordance of homeolog activation patterns across the differentiated lineages at stages 10–13, for genes initially activated at stage 9 and also increased in at least two differentiated lineages. (G) Browser track showing strand-separated reads-per-million RNA-seq coverage over the mir-427 encoding locus on the distal end of Chr1L (v10.1). | |
Figure 2—figure supplement 1 Differential homeolog activation over early development. (A) Proportion of genes activated only from one homeolog or from both homeologs at stage 8, as compared to their homeolog activation patterns at stage 9. (B) Biplots showing L dominant (red) or S dominant (blue) activation at stage 8 (left), that resolves to more balanced homeolog activation patterns at stage 9. Each gene is the same color in both plots. (C) Biplot comparing log2 fold all stage 9 activation over triptolide treated embryos for the S homeolog (x axis) versus the L homeolog. (D) Proportion of genes activated symmetrically or asymmetrically from the L or S subgenomes, stratified into whether there is a maternal contribution for either homeolog (MZ) or not (Z), for primary activated genes, all stage 9 activated genes, and stage 10.5 activated genes. p Values are from χ-squared tests, 4 d.o.f. (E) Proportion of genes activated symmetrically or asymmetrically from the L or S subgenomes from stages 10–13 in differentiated lineages. Top plots represent all genes increased at each stage, bottom plots represent genes with maternal contribution <1 TPM. Lineage-specific gene expression data are from Johnson et al., 2022. (F) Proportion of genes encoded on both subgenomes that change homeolog activation patterns in a differentiated lineage in stages 10–13. (G) Concordance of homeolog activation patterns across the differentiated lineages at stages 10–13, for all genes up in at least two different lineages (top) or only genes with maternal contribution <1 TPM (bottom). (H) Boxplots showing log2 L versus S expression ratio for each differentiated lineage over stages 10–13, in the whole transcriptome. N = 8271 homeolog pairs. (I) Zoom of boxplots in (H), demonstrating a gradual bias toward L-dominant expression over time. (J) Significantly (FDR <0.05, Fisher’s exact test, two-sided) enriched Gene Ontology terms in genes activated from both homeologs, as compared to genes activated from only one subgenome. (K) Boxplots of non-synonymous to synonymous substitution rate ratio (dN/dS) shown on a log10 scale, for genes activated from both subgenomes or only one subgenome (p=0.15, Kruskal-Wallis test; median L=0.15, LS = 0.14, S=0.14). All gene groups trend toward stabilizing selection. N = 465, 585, 305 for L, L+S, and S groups, respectively. (L) Boxplots of CDS percent similarity for activation groups as in (K) (p=0.23, Kruskal-Wallis test). For all boxplots: center line, median; box limits, upper and lower quartiles; whiskers, 1.5x interquartile range; points, outliers. | |
Figure 2—figure supplement 2 The mir-427 locus. (A) Browser tracks showing strand-separated log2 reads-per-million RNA-seq coverage over the predicted mir-427 primary transcript near the telomere of Chr1L on the v10.1 genome assembly. Xenbase gene isoforms are annotated at the top, aligned precursor mir-427 sequences are annotated in the middle according to strand orientation. (B) Browser track showing log2 reads-per-million RNA-seq coverage over the presumed mir-427 encoding region on the v9.2 genome assembly. The overlapping antisense transcript is not transcribed (all coverage shown is sense to the mir-427 transcript). (C) Dot matrix alignment plot showing BLAST local alignments between v10.1 Chr1L and Chr1S in the region flanking the mir-427 locus. Repetitive sequence alignments (Xenbase soft-masked genomic sequence) are shown in gray, non-repetitive alignments in black. Upstream (dnajb5) and downstream (npr2) homeologous genes are labeled. The L-specific mir-427 locus is highlighted in light red, showing no alignments to Chr1S. (D) Region of v10.1 Chr3S where two additional sequence matches to the mir-427 hairpin are found by BLAT. However, there is minimal RNA-seq coverage, suggesting the Chr1L locus is the only bona fide mir-427 encoding region in the v10.1 assembly. Log2 reads-per-million coverage is shown on the same scale as panel (A). | |
Figure 3—figure supplement 1 Profiling homeologous regulatory elements. (A) CUT&RUN for X. laevis blastulae requires cell dissociation prior to nuclear extraction. (B) Comparison of different nuclear extraction techniques. Percent DNA recovered was estimated by NanoDrop quantification of phenol-chloroform extracted DNA after nuclear extraction, as a percentage of theoretical total nuclear DNA mass based on the length of the reference genome sequence. Three nuclear extraction methods were tested with and without cell dissociation: gentle washing by pipeting buffer on the surface of the cells, pipet mixing, vortexing at 1500 rpm. (C) Heatmap of pairwise sample correlation between CUT&RUN samples, as measured by log2 coverage in a 1 Kb window around the center of ATAC-seq open regions (N=58223). (D) Heatmaps showing CUT&RUN coverage over transcription start sites for all samples. (E) Boxplots as in Figure 3B showing CUT&RUN log2 coverage L/S on genes in which only one homeolog is activated at stage 9 (L, S) or both activated (LS), stratified into maternal-zygotic genes (MZ) with >1 TPM maternal contribution (N = 547, 889, 398 for L, LS, and S respectively), and strictly zygotic genes (Z) (N = 46, 126, 35 for L, LS, and S respectively). Two-way ANOVA for each of the four sets indicates there is no significant interaction between MZ/Z and homeolog activation pattern (p=0.37–0.91). (F) Biplots comparing log2 L versus S RNA-seq activation ratio (x axis) and log2 L versus S CUT&RUN read coverage. Linear regression lines are overlaid in red; each has positive slope. p Values are from two-sided Pearson’s correlation tests. (G) CUT&RUN coverage over paired homeologous gene regions around the TSS. Gene pairs are sorted according to L versus S RNA-seq activation ratio (right). | |
Figure 4—figure supplement 1 Assessing Pou5f3 and Sox3 roles in genome activation. (A) Embryos injected with 40 ng of each pou5f3.2, pou5f3.3, and sox3 morpholinos have gastrulation defects compared to stage 10.5 control embryos, and fail to close the blastopore. Embryos injected with two of the three morpholinos plus 40 ng of gfp morpholino also had developmental delays, with one of two batches of pou5f3.2+pou5f3.3 morpholino embryos also failing to close the blastopore. Stage 12 phenotype counts are summed over two different rounds of injections on different days. Scale bar = 0.5 mm. (B) Heatmap showing RNA-seq intron log2 fold difference compared to control for exonic and intronic signal, with individual replicates shown. The left columns are for morpholino treatments without cycloheximide, right columns with cycloheximide comared against a cycloheximide control. Triptolide samples are shown for comparison. All samples are from embryos collected when untreated wild-type controls were at stage 9. (C) Heatmap for two morpholino samples that likely had problems with the cycloheximide treatment, based on the RNA-seq patterns. These samples are excluded from subsequent analyses. (D–F) Biplots comparing exonic expression levels in cycloheximide-treated control embryos versus embryos with deficient genome activation. Primary-activated genes with minimal maternal contribution (strictly zygotic) are purple circles, maternal-zygotic genes detected by exonic increases are orange triangles. TPM = transcripts per million. (G–I) Venn diagrams showing overlap of significantly different genes in the morpholino treatments. (J) Proportions of genes classified as significantly up-regulated in morpholino treatments detected by intronic levels. (K) log2 fold difference RNA-seq expression of pou5f3.2+pou5f3.3+sox3 morpholino treated embryos over control for different groups of genes, according to whether they were classified as significantly up-regulated in various morpholino combinations. Although some gene groups achieve significance in the double but not triple morpholino conditions, all gene groups significantly up in at least one treatment nonetheless have elevated expression in the triple morpholino conditions. Center line, median; box limits, upper and lower quartiles; whiskers, 1.5x interquartile range; points, outliers. N = 60, 778, 210, 102, 140, 215, 553, left to right. (L) Proportions of morpholino-affected genes (no cycloheximide) stratified into strictly zygotic genes (Z, maternal contribution <1 TPM) versus maternal-zygotic genes and whether wild-type activation is only in the stage 9 blastula or also observed in differentiated lineages (left, middle). Strictly zygotic genes overall are significantly more likely to be down-regulated by morpholino treatment (p=6.6 × 10–18, χ-squared test, 3 d.o.f.), and this is a stronger effect in blastula-specific genes compared to genes also up-expressed in differentiated lineages (p=2.0 × 10–34, χ-squared test, 6 d.o.f.). (Right) proportions are not significantly different when comparing in which lineages those genes are further expressed (p=0.11, χ-squared test, 6 d.o.f.). (M) Proportions of genes affected by morpholino treatment in the presence of cycloheximide, according to their homeolog expression patterns. Strictly zygotic genes encoded in both subgenomes are more likely to depend on Pou5f3 and Sox3 for their primary activation than singleton genes, regardless of the patterns of homeolog activation (p=0.0020, χ-squared test, 5 d.o.f.). Maternal-zygotic genes have a subtler trend. (M) Proportions of genes affected by morpholino treatment without cycloheximide, according to their homeolog expression patterns. Genes expressed only on the S homeolog, particularly S singletons, are somewhat less likely to be regulated by Pou5f3 and Sox3 (p=3.4 × 10–5, χ-squared test, 10 d.o.f.), though only among maternal-zygotic genes. | |
Figure 5 with 1 supplement Regulatory divergence underlies dosage maintenance. (A) Biplots comparing relative expression levels of activated genes in X. laevis and X. tropicalis, treating L and S homeolog contributions separately (middle, right) or summed (left). Individual subgenome expression is scaled 2 x, since transcript per million (TPM) normalization is calculated relative to the entire X. laevis transcriptome. Individual labeled genes are color coded according to the dominant expressed homeolog (red = L, blue = S, purple = equivalent). (B) Barplots showing the proportion of X. laevis genes across homeolog activation categories whose orthologs are also activated in X. tropicalis or part of the maternal contribution. (C) Barplots showing the proportion of X. laevis enhancers across homeolog activity categories that are acetylated in X. tropicalis. (D) Barplots showing the proportion of Xenopus genes whose orthologs are regulated by Pou5f3/SoxB1 and Nanog in zebrafish. Xenopus genes are classified according to how many homeo/orthologs are regulated by Pou5f3/Sox3. Genes with conserved regulation in both X. laevis homeologs and X. tropicalis are more likely to be regulated by Pou5f3/SoxB1 in zebrafish, but also more likely to be regulated by Nanog. | |
Figure 6 Model for pluripotency network evolution. X. laevis likely underwent extensive enhancer turnover between its two subgenomes, which nonetheless maintained stoichiometry of pluripotency reprogramming in the early embryo. |
References [+] :
Adams,
Polyploidy and genome evolution in plants.
2005, Pubmed
Adams, Polyploidy and genome evolution in plants. 2005, Pubmed
Amodeo, Histone titration against the genome sets the DNA-to-cytoplasm threshold for the Xenopus midblastula transition. 2015, Pubmed , Xenbase
Bazzini, Ribosome profiling shows that miR-430 reduces translation before causing mRNA decay in zebrafish. 2012, Pubmed
Blythe, Establishment and maintenance of heritable chromatin structure during early Drosophila embryogenesis. 2016, Pubmed
Bogdanovic, Dynamics of enhancer chromatin signatures mark the transition from pluripotency to cell specification during embryogenesis. 2012, Pubmed , Xenbase
Boyer, Core transcriptional regulatory circuitry in human embryonic stem cells. 2005, Pubmed
Briggs, The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution. 2018, Pubmed , Xenbase
Buggs, The legacy of diploid progenitors in allopolyploid gene expression patterns. 2014, Pubmed
Camacho, BLAST+: architecture and applications. 2009, Pubmed
Charney, Foxh1 Occupies cis-Regulatory Modules Prior to Dynamic Transcription Factor Interactions Controlling the Mesendoderm Gene Program. 2017, Pubmed , Xenbase
Chen, Spatiotemporal Patterning of Zygotic Genome Activation in a Model Vertebrate Embryo. 2019, Pubmed , Xenbase
Chen, De novo assembly of the goldfish (Carassius auratus) genome and the evolution of genes after whole-genome duplication. 2019, Pubmed
Chen, Nascent transcriptome reveals orchestration of zygotic genome activation in early embryogenesis. 2022, Pubmed , Xenbase
Colonnetta, CLAMP regulates zygotic genome activation in Drosophila embryos. 2021, Pubmed
Dailey, Coevolution of HMG domains and homeodomains and the generation of transcriptional regulation by Sox/POU complexes. 2001, Pubmed
Duan, CLAMP and Zelda function together to promote Drosophila zygotic genome activation. 2021, Pubmed
Elurbe, Regulatory remodeling in the allo-tetraploid frog Xenopus laevis. 2017, Pubmed , Xenbase
Endo, Genetic Signatures of Evolution of the Pluripotency Gene Regulating Network across Mammals. 2020, Pubmed
Esmaeili, Chromatin accessibility and histone acetylation in the regulation of competence in early development. 2020, Pubmed , Xenbase
Fernandez-Tresguerres, Evolution of the mammalian embryonic pluripotency gene regulatory network. 2010, Pubmed
Foe, Studies of nuclear and cytoplasmic behaviour during the five mitotic cycles that precede gastrulation in Drosophila embryogenesis. 1983, Pubmed
Gaskill, GAF is essential for zygotic genome activation and chromatin accessibility in the early Drosophila embryo. 2021, Pubmed
Gentsch, Maternal pluripotency factors initiate extensive chromatin remodelling to predefine first response to inductive signals. 2019, Pubmed , Xenbase
Gibeaux, Paternal chromosome loss and metabolic crisis contribute to hybrid inviability in Xenopus. 2018, Pubmed , Xenbase
Giraldez, Zebrafish MiR-430 promotes deadenylation and clearance of maternal mRNAs. 2006, Pubmed
Grover, Homoeolog expression bias and expression level dominance in allopolyploids. 2012, Pubmed
Gupta, Developmental enhancers are marked independently of zygotic Nodal signals in Xenopus. 2014, Pubmed , Xenbase
GURDON, Sexually mature individuals of Xenopus laevis from the transplantation of single somatic nuclei. 1958, Pubmed , Xenbase
Hadzhiev, The miR-430 locus with extreme promoter density forms a transcription body during the minor wave of zygotic genome activation. 2023, Pubmed
Hainer, High-Resolution Chromatin Profiling Using CUT&RUN. 2019, Pubmed
Harland, Xenopus research: metamorphosed by genetics and genomics. 2011, Pubmed , Xenbase
Harvey, Identification of the zebrafish maternal and paternal transcriptomes. 2013, Pubmed
Heinz, Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. 2010, Pubmed
Hu, Cis-trans controls and regulatory novelty accompanying allopolyploidization. 2019, Pubmed
Hug, Chromatin Architecture Emerges during Zygotic Genome Activation Independent of Transcription. 2017, Pubmed
Johnson, Quantitative analysis of transcriptome dynamics provides novel insights into developmental state transitions. 2022, Pubmed , Xenbase
Kane, The zebrafish midblastula transition. 1993, Pubmed
Kent, BLAT--the BLAST-like alignment tool. 2002, Pubmed
Kent, The human genome browser at UCSC. 2002, Pubmed
Kim, HISAT: a fast spliced aligner with low memory requirements. 2015, Pubmed
Kimelman, The events of the midblastula transition in Xenopus are regulated by changes in the cell cycle. 1987, Pubmed , Xenbase
Kozomara, miRBase: from microRNA sequences to function. 2019, Pubmed
Langmead, Fast gapped-read alignment with Bowtie 2. 2012, Pubmed
Lee, Nanog, Pou5f1 and SoxB1 activate zygotic gene expression during the maternal-to-zygotic transition. 2013, Pubmed
Lee, Zygotic genome activation during the maternal-to-zygotic transition. 2014, Pubmed , Xenbase
Leichsenring, Pou5f1 transcription factor controls zygotic gene activation in vertebrates. 2013, Pubmed , Xenbase
Li, The Sequence Alignment/Map format and SAMtools. 2009, Pubmed
Li, Ground rules of the pluripotency gene regulatory network. 2017, Pubmed
Li, Parallel subgenome structure and divergent expression evolution of allo-tetraploid common carp and goldfish. 2021, Pubmed
Liang, The zinc-finger protein Zelda is a key activator of the early zygotic genome in Drosophila. 2008, Pubmed
Liao, featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. 2014, Pubmed
Love, Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. 2014, Pubmed
Lund, Deadenylation of maternal mRNAs mediated by miR-427 in Xenopus laevis embryos. 2009, Pubmed , Xenbase
Luo, From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish. 2020, Pubmed
McClintock, The significance of responses of the genome to challenge. 1984, Pubmed
Meers, Peak calling by Sparse Enrichment Analysis for CUT&RUN chromatin profiling. 2019, Pubmed
Miao, The landscape of pioneer factor activity reveals the mechanisms of chromatin reprogramming and genome activation. 2022, Pubmed
Moran, The genomic consequences of hybridization. 2021, Pubmed
Morrison, Conserved roles for Oct4 homologues in maintaining multipotency during early vertebrate development. 2006, Pubmed , Xenbase
Newport, A major developmental transition in early Xenopus embryos: I. characterization and timing of cellular changes at the midblastula stage. 1982, Pubmed , Xenbase
Newport, A major developmental transition in early Xenopus embryos: II. Control of the onset of transcription. 1982, Pubmed , Xenbase
Ochi, Co-accumulation of cis-regulatory and coding mutations during the pseudogenization of the Xenopus laevis homoeologs six6.L and six6.S. 2017, Pubmed , Xenbase
Owens, Measuring Absolute RNA Copy Numbers at High Temporal Resolution Reveals Transcriptome Kinetics in Development. 2016, Pubmed , Xenbase
Paraiso, Endodermal Maternal Transcription Factors Establish Super-Enhancers during Zygotic Genome Activation. 2019, Pubmed , Xenbase
Phelps, Optimized design of antisense oligomers for targeted rRNA depletion. 2021, Pubmed , Xenbase
Picelli, Tn5 transposase and tagmentation procedures for massively scaled sequencing projects. 2014, Pubmed
Quinlan, BEDTools: a flexible suite of utilities for comparing genomic features. 2010, Pubmed
Ramírez, deepTools: a flexible platform for exploring deep-sequencing data. 2014, Pubmed
Rice, EMBOSS: the European Molecular Biology Open Software Suite. 2000, Pubmed
Scerbo, Ventx factors function as Nanog-like guardians of developmental potential in Xenopus. 2012, Pubmed , Xenbase
Schuff, Characterization of Danio rerio Nanog and functional comparison to Xenopus Vents. 2012, Pubmed , Xenbase
Session, Genome evolution in the allotetraploid frog Xenopus laevis. 2016, Pubmed , Xenbase
Shi, Cis- and trans-regulatory divergence between progenitor species determines gene-expression novelty in Arabidopsis allopolyploids. 2012, Pubmed
Skene, An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites. 2017, Pubmed
Skirkanich, An essential role for transcription before the MBT in Xenopus laevis. 2011, Pubmed , Xenbase
Song, Gene Balance Predicts Transcriptional Responses Immediately Following Ploidy Change in Arabidopsis thaliana. 2020, Pubmed
Suyama, PAL2NAL: robust conversion of protein sequence alignments into the corresponding codon alignments. 2006, Pubmed
Svoboda, Mammalian zygotic genome activation. 2018, Pubmed
Swamy, Protein Complexes Form a Basis for Complex Hybrid Incompatibility. 2021, Pubmed
Takahashi, A decade of transcription factor-mediated reprogramming to pluripotency. 2016, Pubmed
Takebayashi-Suzuki, The Xenopus POU class V transcription factor XOct-25 inhibits ectodermal competence to respond to bone morphogenetic protein-mediated embryonic induction. 2007, Pubmed , Xenbase
Tirosh, A yeast hybrid provides insight into the evolution of gene expression regulation. 2009, Pubmed
Vastenhouw, The maternal-to-zygotic transition revisited. 2019, Pubmed
Veenstra, Translation of maternal TATA-binding protein mRNA potentiates basal but not activated transcription in Xenopus embryos at the midblastula transition. 1999, Pubmed , Xenbase
Yanai, Mapping gene expression in two Xenopus species: evolutionary constraints and developmental flexibility. 2011, Pubmed , Xenbase
Yang, PAML: a program package for phylogenetic analysis by maximum likelihood. 1997, Pubmed
Zhang, The beta-catenin/VegT-regulated early zygotic gene Xnr5 is a direct target of SOX3 regulation. 2003, Pubmed , Xenbase
Zhang, Model-based analysis of ChIP-Seq (MACS). 2008, Pubmed