Literature DB >> 31875538

Targeting of the Dosage-Compensated Male X-Chromosome during Early Drosophila Development.

Leila Elizabeth Rieder1, William Thomas Jordan2, Erica Nicole Larschan3.   

Abstract

Dosage compensation, which corrects for the imbalance in X-linked gene expression between XX females and XY males, represents a model for how genes are targeted for coordinated regulation. However, the mechanism by which dosage compensation complexes identify the X chromosome during early development remains unknown because of the difficulty of sexing embryos before zygotic transcription using X- or Y-linked reporter transgenes. We used meiotic drive to sex Drosophila embryos before zygotic transcription and ChIP-seq to measure the dynamics of dosage compensation factor targeting. The Drosophila male-specific lethal dosage compensation complex (MSLc) requires the ubiquitous zinc-finger protein chromatin-linked adaptor for MSL proteins (CLAMP) to identify the X chromosome. We observe a multi-stage process in which MSLc first identifies CLAMP binding sites throughout the genome, followed by concentration at the strongest X-linked MSLc sites. We provide insight into the dynamics of binding site recognition by a large transcription complex during early development.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CLAMP; Drosophila; MSL complex; Segregation distorter; chromatin domain; dosage compensation; meiotic drive; transcription factor; zygotic genome activation

Mesh:

Substances:

Year:  2019        PMID: 31875538      PMCID: PMC6952266          DOI: 10.1016/j.celrep.2019.11.095

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


INTRODUCTION

Chromatin domains are enriched for specific histone modifications that activate or repress transcription, are a common property of metazoan genomes, and are critical for nuclear organization and regulation (Carelli et al., 2017). The formation of chromatin domains is often initiated early during embryogenesis (Evans et al., 2016; Vassetzky et al., 2000). However, little is understood about the dynamics of this essential process. Strikingly large chromatin domains include the dosage-compensated chromosomes in heterogametic species, in which all of the genes on a chromosome are coordinately regulated. For example, the human female inactive X chromosome is characterized by the heterochromatic marks H3K27 methylation and ubiquitinated H2AK119 (Hall and Lawrence, 2010). Like humans, Drosophila melanogaster also uses an X/Y system of sex determination, but males perform dosage compensation; male Drosophila upregulate their single X chromosome ~ 2-fold to equalize expression with that of females (Hamada et al., 2005; Larschan et al., 2011). The dosage-compensated male X chromosome is marked by acetylated H4K16 (Smith et al., 2001; Turner et al., 1992), which facilitates transcriptional elongation and increased expression (Zippo et al., 2009). Moreover, X chromosome upregulation is conserved across species to balance X chromosome gene expression with that from autosomes and requires the same H4K16ac chromatin mark (Deng et al., 2013). In Drosophila, the male-specific lethal complex (MSLc) is expressed only in males and accomplishes dosage compensation by specifically targeting the single X chromosome. MSLc includes the histone acetyltransferase males absent on the first (MOF) that deposits the activating H4K16ac mark (Akhtar and Becker, 2000; Smith et al., 2000). MSLc is most highly enriched at ~ 150–300 chromatin entry sites (CESs; also called high-affinity sites) that contain guanosine/adenosine (GA)-rich MSL recognition elements (MREs) (Alekseyenko et al., 2008; Straub et al., 2008; Villa et al., 2016). However, MREs are only 2-fold enriched on the X chromosome compared to autosomes (Kuzu et al., 2016). Furthermore, the targeting of MSLc also requires the six zinc finger transcription factor, chromatin-linked adaptor for MSL proteins (CLAMP) (Soruco et al., 2013), although CLAMP targets MREs genome-wide and is not unique to the X chromosome (Kaye et al., 2017; Rieder et al., 2017; Urban et al., 2017). Therefore, it remains unclear how MSLc targets the X chromosome to establish an active chromatin domain. Previous models for the formation of the dosage-compensated chromatin domain relied on steady-state patterns in mutant lines, often by examining the larval salivary gland polytene chromosomes. For example, while fully functional MSLc decorates the euchromatic region of the X chromosome, partial complexes are recruited to a subset of X-linked CESs (Deng et al., 2005; Gorman et al., 1995; Gu et al., 1998; Lyman et al., 1997; Palmer et al., 1994; Straub et al., 2008). CESs are also the most highly enriched MSLc binding sites in wild-type flies (Alekseyenko et al., 2008). More recently, an in vitro DNA binding assay and the induction of MSLc in females both uncovered a subset of X-enriched sites called the pioneering sites on the X (PionX) (Villa et al., 2016; Cheetham and Brand, 2018; Schauer et al., 2017; Albig et al., 2019). Finally, when CESs are synthetically inserted onto autosomes, they are targeted by MSLc, which then spreads in cis into neighboring chromatin and in trans to the male X chromosome (Kelley et al., 1999; Larschan et al., 2007). Based on these observations, several groups proposed a spreading model in which MSLc first targets CESs or X-enriched sites and then spreads in two or three dimensions to active genes on the male X chromosome (Alekseyenko et al., 2013; Lucchesi and Kuroda, 2015; McElroy et al., 2014; Ramírez et al., 2015; Soruco et al., 2013; Straub et al., 2008). However, directly testing this model in vivo is difficult; although dosage compensation is initiated early during development (Franke et al., 1996; Gergen, 1987; Polito et al., 1990; Rastelli et al., 1995), it is challenging to sex embryos pre-zygotic genome activation (ZGA). To overcome this obstacle, we used a meiotic drive system to generate male- and female-enriched pools of embryos and performed chromatin immunoprecipitation sequencing (ChIP-seq) for CLAMP, MSLc, and the H4K16ac chromatin mark at precise embryonic stages surrounding the initiation of dosage compensation. This system of sexing embryos before ZGA represents a powerful tool to measure the recruitment dynamics of the dosage compensation complex. We identified the following multi-stage process for targeting MSLc: (1) CLAMP targets loci genome-wide; (2) in an intermediate step, MSLc identifies loci that are bound by CLAMP genome-wide, but not at CESs; and(3) MSLc becomes more enriched at CESs and less enriched at other CLAMP binding sites. Overall, we provide insight into the dynamic mechanism by which a large transcription complex identifies its binding sites during early development.

RESULTS AND DISCUSSION

A Meiotic Drive System Generates Sexed Embryos before ZGA

A significant impediment to observing the initial steps of dosage compensation is the inability to sex the Drosophila embryo before ZGA, when sex-specific reporter transgenes are activated (Schauer et al., 2017). To overcome this obstacle, we used the segregation distorter (SD) meiotic drive system (Larracuente and Presgraves, 2012). In this system, expression of the segregation distorter gene product (Sd), a mislocalized form of RanGAP, interacts with sensitive alleles of the Responder (Rsp) locus, a large pericentromeric stretch of satellite DNA. In its naturally occurring form, both the Sd and Rsp loci reside on chromosome 2, and Sd selfishly enriches its own transmission by preventing the maturation of spermatids carrying Rsp-bearing chromosomes. Although the mechanism of SD remains unknown, the Sd and Rsp loci can be placed on ectopic chromosomes with the same effect. We therefore used existing Drosophila melanogaster stocks in which Sd remains on chromosome 2, but sensitive alleles of the Rsp locus (Rsp) now reside on the X or Y chromosomes (Cheng et al., 2016; Polito et al., 1990; Walker et al., 1989). Males produced from this crossing strategy (Figure 1A) produce predominantly X or Y chromosome-bearing sperm, depending on their genotypes, and sire a preponderance of progeny of the corresponding sex (Figure 1B). If dosage compensation was significantly affected by the autosomal SD system, then a strong male-specific viability defect would be expected, but the autosomal SD system does not cause a strong sex bias (Denell et al., 1969). Recently, meiotic drive has also been used to sex select mouse embryos, but this system has not yet been used to study dosage compensation (Umehara et al., 2019).
Figure 1.

Validation of a Meiotic Drive System to Generate Sexed Embryos

(A) Crossing scheme using SD meiotic drive system to generate sex-enriched pools of embryos expressing PCNA-EGFP. Rsp is a sensitive allele of the Rsp locus. SPSD and SD-72 are strong Sd alleles, and we found the drive to be strongest when the SD alleles were in trans.(B) Percentage of adult animals eclosed of each sex due to crossing schemes in (A). The numbers within the bars represent the total number of animals counted.(C) Staging embryos by nuclear cycle (NC) using the PCNA-EGFP transgene. Zygotic genome activation (ZGA) occurs during NC14.(D) Workflow to sort embryos for small-scale ChIP-seq. We hand sorted between 200 and 351 embryos for each biological replicate. We performed two biological replicates for male and female embryos between NC12 and NC14 and one replicate for NC11. To represent a “late” stage of dosage compensation, we chose ~100 2- to 4-h embryos.

We combined the SD sexing system with a maternally inherited proliferating cell nuclear antigen (PCNA)-EGFP reporter transgene (Blythe and Wieschaus, 2016), which allowed us to precisely stage embryos by nuclear cycle (NC), representing a developmental time course of ~1 h surrounding ZGA (Figure 1C). These data demonstrate that, when combined, the SD meiotic drive and PCNA-EGFP reporter systems represent a powerful tool to both stage and sex embryos before ZGA. We hand sorted fixed embryos produced from these crosses (Figure 1A) and performed low-input ChIP-seq (Figure 1D) (Blythe and Wieschaus, 2015) for factors associated with dosage compensation.

MSLc Identifies the Male X Chromosome in a Multistage Process

We previously demonstrated that the CLAMP protein, which targets CESs and other GA-rich sequences genome-wide, facilitates MSLc recruitment and dosage compensation (Kaye et al., 2018; Kuzu et al., 2016; Soruco et al., 2013). In addition, CLAMP is maternally deposited into the oocyte, while MSLc does not assemble until later in development (Graveley et al., 2011). We therefore hypothesized that CLAMP identifies its binding sites before MSLc. To test this hypothesis, we performed ChIP-seq on male-enriched embryo pools for CLAMP, MSL3 (a component of MSLc), and the H4K16ac mark, and on female-enriched embryo pools for CLAMP (Rieder et al., 2017) and H4K16ac. MSLc does not assemble in female embryos due to post-transcriptional repression of the structural MSL2 component by the master sex regulator Sex-lethal (Kelley et al., 1997). It is possible that contamination from spurious females in the male population alters the binding pattern of CLAMP, but not of MSLc because MSLc does not form in females. To perform small-scale ChIP-seq, we used 200–351 embryos for each NC (Figure 1D). In addition, we performed ChIP-seq on ~ 100 sexed, mixed-stage embryos aged to 2–4 h after egg lay, representing a post-ZGA stage (Gergen, 1987). Because hand sorting is laborious, we were limited in the number of biological replicates that we could perform; we performed two biological replicates for each sex and time point, except for NC11 and the 2- to 4-h time point, for which we performed one biological replicate for each sex. In total, we hand sorted >3,500 embryos. To ensure that we used only the highest-quality data, we selected the best biological replicate based on which replicate had the highest overall scores for PCR bottlenecking coefficients 1 and 2 (measures of approximate library complexity) (Bailey et al., 2013; Landt et al., 2012) (Table S1). The overlap between peaks in selected samples is shown in Figure S1. To visualize dynamic recruitment throughout early development, we plotted heatmaps of the highest-quality replicates to measure occupancy at several classes of loci. We examined MSLc and CLAMP binding to several classes of sites that have been previously identified as involved in dosage compensation:(1) PionX sites interact with MSL complex in vitro and were identified in vivo using a cell culture-induction system in which MSLc is induced in female cells (Villa et al., 2016); (2) non-PionX CESs associate with MSLc in vivo (Soruco et al., 2013) but not in vitro (Villa et al., 2016); (3) CES-like sites do not recruit MSLc in cell lines but have similar properties such as being located in gene bodies and having the H3K36me3 chromatin mark (Soruco et al., 2013); and (4) CLAMP binding sites at the onset of ZGA are identified in male NC14 (the present study). We observed MSLc targeting in multiple stages. As we hypothesized, CLAMP identifies binding sites in both sexes before MSLc (Figures 2A and 2B). Before MSLc identifies CESs in NC14, CLAMP is modestly de-enriched at CESs compared to other CLAMP binding sites. Concurrently, MSLc identifies other CLAMP binding sites genome-wide and is not restricted to the X chromosome (Figures 2C and S2), an observation that is supported by male H4K16ac ChIP (Figure 2D). H4K16ac patterns in males mirror those of MSLc throughout development as would be expected because the MOF component of MSLc deposits the H4K16ac mark (Smith et al., 2005). Because H4K16ac can be deposited by a different transcription complex in females (non-specific lethal complex) (Raja et al., 2010), its occupancy pattern differs between males and females (Figures 2D and 2E) and is consistent with previous reports in cultured female Kc cells (Gelbart et al., 2009).
Figure 2.

Staged, Sexed ChIP-Seq Heatmaps at X-Linked CLAMP Sites

Data are mapped over X-linked CLAMP sites and broken into categories, including PionX sites (Villa et al., 2016) (n = 55; dark blue), CESs (Soruco et al., 2013; Alekseyenko et al., 2008) (n = 234; light blue), and other X-linked CLAMP peaks from the male NC14 sample (n = 1,417; orange). CES-like sites represent negative control sites (Soruco et al., 2013; Alekseyenko et al., 2008) (n = 38; green).

(A) CLAMP ChIP-seq from male embryos.

(B) CLAMP ChIP-seq from female embryos.

(C) MSL3 ChIP-seq from male embryos.

(D) H4K16ac ChIP-seq from male embryos.

(E) H4K16ac ChIP-seq from female embryos.

See also Figures S1, S2, and S3.

After MSLc identifies CESs, CLAMP also becomes enriched at CESs, specifically in males, which is consistent with the documented synergy between the two factors (Albig et al., 2019; Larschan et al., 2012). Individual profiles surrounding selected CESs (Figure S3) are consistent with heatmaps. Overall, we observe a dynamic pattern of MSLc targeting in which it identifies CLAMP binding sites throughout the genome, followed by specific targeting to CESs. We do not observe a time point at which PionX sites (Villa et al., 2016) are specifically enriched for MSLc, compared to other CESs. To define how CLAMP, MSLc, and H4K16ac occupancies change over time at both genes on the X chromosome and autosomes, we generated average gene profiles. CLAMP is similarly enriched on the X chromosome (Figures 3A and 3B) and autosomes (Figures S2A and S2B) in both males and females, although CLAMP becomes enriched at CESs compared to other binding sites after 2 h (Figures 2A and 2B). CLAMP average gene profiles are similar in males and females until NC14, when the profiles diverge (Figures 3A and 3B), which is consistent with the previously documented synergy between CLAMP and MSLc only in males (Soruco et al., 2013). In contrast, MSLc becomes more enriched at CESs and less enriched at other CLAMP binding sites over time (Figures 2C and 3C). MSLc and H4K16ac (Figure 3D) are enriched over gene bodies in males, consistent with previous reports in cell culture (Alekseyenko et al., 2006). Furthermore, the X enrichment of MSLc and H4K16ac increases over time in males but not in females (Figures 2C, 2D, 3C, and 3D).
Figure 3.

CLAMP and MSL3 Gene Profiles and Distance to CESs over Development

(A–E) Average X-linked (green) and autosome-linked (blue) gene profiles over developmental time (shading represents SE). Male, CLAMP ChIP (A); female, CLAMP ChIP (B); male, MSL3 ChIP (C); male, H4K16ac ChIP (D); and female, H4K16ac ChIP (E). TSS, transcription start site; TTS, transcription termination site. (F and G) Distance to CES of (F) male CLAMP peaks and (G) female CLAMP peaks. For comparison, we have included previously published CLAMP ChIP-seq data from cultured male S2 cells and female Kc cells (two biological replicates each from Soruco et al., 2013).(H) Distance to CESs of male MSL3 peaks. For all box and whisker plots, the 95% confidence interval is shown with a notch around the median line; whiskers represent 1.5 interquartile range (IQR), outliers have been omitted.

We also investigated the distances of CLAMP and MSL3 peaks to the nearest CESs over developmental time. In both males and females, CLAMP peaks reside very close to CESs, even at the earliest time points (Figures 3F and 3G). However, male MSL3 peaks grow closer to CESs throughout development (Figure 3H). These data suggest that CLAMP targets CESs in both sexes early during development before the MSLc complex identifies CESs. Initially, MSLc identifies CLAMP binding sites genome-wide that are not located at CESs. Next, synergy between CLAMP and MSLc occurs specifically at CESs, and likely other factors such as 1.688 repeat elements (Joshi and Meller, 2017) enrich MSLc occupancy specifically at CESs. In this study, we identified an unexpected step in the process of MSLc identifying the X chromosome: the association of MSLc with CLAMP binding sites genome-wide at NC13. A key question is how does MSLc become restricted to the X chromosome after identifying CLAMP binding sites genome-wide? MSLc and CLAMP can function synergistically, which has been defined in vivo (Soruco et al., 2013) and in vitro (Albig et al., 2019). The sites where MSL and CLAMP function synergistically often have binding motifs that deviate from the MSL complex consensus sequence (MSL recognition element; MRE) (Alekseyenko et al., 2008) and specific DNA shape properties that require synergy between both factors for stable binding (Albig et al., 2019). However, similar sequences exist throughout the genome, and therefore sequence alone is not sufficient to define CESs. MREs are often more clustered at CES compared to other sites in the genome (Kuzu et al., 2016), and it is possible that clustering and CLAMP multimerization promote the ability of MSLc to specifically associate with CESs. We observed that CLAMP is de-enriched at CES compared to other sites in the genome early in development, despite the known synergy between CLAMP and the MSL complex at these sites (Soruco et al., 2013; Albig et al., 2019). Furthermore, MSLc and CLAMP associate at the same autosomal sites before they co-occupy CESs. The delayed synergy between CLAMP and MSLc at CESs may be caused by several mechanisms: (1) other factors at CESs such as GAGA factor (GAF) may compete with CLAMP to reduce its enrichment early in development. GAF can compete with CLAMP to bind to CESs and can promote MSLc recruitment, although not as well as CLAMP (Kaye et al., 2017).(2) CLAMP may be titrated away from CESs early in development, as it may associate with its other binding partners such as insulator proteins (Kaye et al., 2017; Bag et al., 2019) or components of the spliceosome (Urban et al., 2017). (3) CESs cluster together in three-dimensional space (Ramírez et al., 2015) and contain multiple closely spaced CLAMP binding sites (Soruco et al., 2013). Also, CLAMP is part of two insulator complexes (Kaye et al., 2017; Bag et al., 2019). Therefore, CLAMP may multimerize to mediate three-dimensional organization at CESs such that CLAMP multimers are buried within a dynamic three-dimensional structure and are not accessible by CLAMP antibodies. Overall, we define a multi-step process by which MSLc first identifies thousands of CLAMP-occupied sites throughout the genome before becoming enriched at its strongest X-linked target sites (CESs). Synergistic interactions between CLAMP and MSLc (Albig et al., 2019; Soruco et al., 2013) are likely to enhance the occupancy of both factors at CESs. We hypothesize that additional factors promote the specific interaction between MSLc and CESs, including direct binding of MSL2 to DNA mediated by DNA shape (Albig et al., 2019), specific three-dimensional conformation surrounding CESs (Ramírez et al., 2015), and 1.688 repetitive elements (Joshi and Meller, 2017). In the future, it will be possible to use the meiotic drive system to define the contribution of each of these factors to MSLc targeting in a developmental context.

STAR★METHODS

LEAD CONTACT AND MATERIALS AVAILABILITY

Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact Leila Rieder (leila.rieder@emory.edu). All unique/stable reagents generated in this study are available from the Lead Contact without restriction.

EXPERIMENTAL MODEL AND SUBJECT DETAILS

We maintained flies on standard cornmeal sucrose media at 24 °C. Meiotic drive fly stocks (both gifts from Cynthia Staber), +; SD72/CyO and 19–3, yw, Rsp[s]-B[s]/Dp(2:y)CB25–4, y+, Rsp[s]B[s]; SPSD/CyO (Bloomington BSC64332) are published in Rieder et al. (2017). To obtain female embryos, we mated +; SD72/CyO females to 19–3, yw, Rsp[s]-B[s]/Dp(2:y) CB25–4, y+, Rsp[s]B[s]; SPSD/CyO males to obtain +/Dp(2:y) CB25–4, y+, Rsp[s]B[s]; SPSD/SD72 males. To obtain male embryos, we mated +; SD72/CyO males to 19–3, yw, Rsp[s]-B[s]/Dp(2:y) CB25–4, y+, Rsp[s]B[s]; SPSD/CyO females to obtain 19–3, yw, Rsp[s]-B[s]/Y; SPSD/SD72 males. We mated males of both genotypes to yw; attP2{PCNA-EGFP} virgin females (Blythe and Wieschaus, 2016).

METHOD DETAILS

Meiotic drive validation

K is the proportion of SD-bearing progeny compared to total progeny (Ganetzky, 1977; Gell and Reenan, 2013). In this case, k is expressed as the number of non-Rsp-bearing progeny, or the number of the expected sex, compared to total progeny (Figure 1B). We conducted k-tests at 24 °C based on Gell and Reenan (2013) at by crossing either +/Dp(2:y) CB25–4, y+, Rsp[s]B[s]; SPSD/SD72 males or 19–3, yw, Rsp[s]-B[s]/Y; SPSD/SD72 males to yw; attP2{PCNA-EGFP} virgin females.

Embryo fixation and sorting

We collected embryos on apple juice plates with yeast paste at 24 °C. We performed 0–4hr timed lays and fixed embryos according to Blythe and Wieschaus (2015). We then hand-sorted embryos using a Zeiss Discovery.V8 microscope under GFP excitation using an X-CITE 120Q stereo light source. We pooled 200–351 embryos (NC 11–14, Figure 1D). For 2–4hr embryos, we used approximately 100 mixed stage embryos. We froze embryos at −80 °C until further processing.

Chromatin immunoprecipitation (ChIP)-sequencing

We performed ChIP as in Blythe and Wieschaus (2015) using 2 mL of rabbit anti-CLAMP antibody, 2 mL of polyclonal rabbit IgG (Millipore-Sigma, 12–370), 3 mL of rabbit polyclonal anti-H4K16ac (Millipore-Sigma, 07–329) or 4 mL of a 1:10 dilution of goat anti-MSL3 serum (gift from Mitzi Kuroda) per sample. We synthesized libraries using the NEBNext ChIP-seq kit (New England Biosystems, E6240L) and sequenced libraries on an Illumina HiSeq 2500 in 2 × 3 100-bp or 2 × 3 150-bp mode. ChIP-seq data is deposited at NCBI GEO: GSE133637.

QUANTIFICATION AND STATISTICAL ANALYSIS

We mapped sequencing reads to release 6 of the Drosophila melanogaster genome (dm6) using Bowtie2 (version 2.3.0) (Langmead and Salzberg, 2012) with default parameters. We identified reads with a MAPQ < 30 and removed PCR duplicate reads using Picard MarkDuplicates (version 2.9.2) (Picard Toolkit. 2019. Broad Institute, GitHub Repository. http://broadinstitute.github.io/picard/; Broad Institute) using SAMtools (version 1.9) (Li et al., 2009). We used MACS2 (version 2.1.1) (Zhang et al., 2008) to identify peaks with the following parameters:–nomodel -B -SPMR -keep-dup all -g dm. We used input for peak calling in all samples with the exception of male 2–4 hour time point. We used a narrow peak calling with a q cutoff of 0.01 for CLAMP ChIPs and broad peak calling with a q cutoff of 0.05 for MSL3 and H4K16ac ChIPs; we also used–extsize of 147 for H4K16ac ChIPs. We used MACS2 to generate fold enrichment tracks for each ChIP. We generated average profiles using deepTools (version 3.1.0) (Ramírez et al., 2014). We calculated distances to the nearest CES using bedtools (version 2.27.1) (Quinlan and Hall 2010). We determined peak overlaps using Intervene (version 0.5.8) (Khan and Mathelier, 2017).

DATA AND CODE AVAILABILITY

Female embryo CLAMP ChIP-seq data are deposited in NCBI GEO: GSE119448 (Rieder et al., 2017). Cell culture CLAMP ChIP-seq data are deposited in NCBI GEO: GSE39271 (Soruco et al., 2013). ChIP-seq data (this study) is deposited at NCBI GEO: GSE133637. We lifted CES locations (Alekseyenko et al., 2008; Soruco et al., 2013) over to dm6 using the UCSC liftOver tool.

KEY RESOURCES TABLE

REAGENT or RESOURCESOURCEIDENTIFIER
Antibodies
Rabbit anti-CLAMP antibodyErica N. LarschanRRID:AB_2195548
Goat anti-MSL3 serumMitzi KurodaRRID:AB_2147786
rabbit polyclonal anti-H4K16acMillipore-Sigma07–329; RRID:AB_310525
polyclonal rabbit IgGMillipore-Sigma12–370; RRID:AB_145841
Critical Commercial Assays
NEBNext ChIP-seq kitNew England BiolabsE6240L
Deposited Data
Female embryo CLAMP ChIP-seqNCBI GEOGSE119448
Cell culture CLAMP ChIP-seqNCBI GEOGSE39271
Male embryo CLAMP ChIP-seqNCBI GEOGSE133637
Experimental Models: Organisms/Strains
+; SD72/CyOCynthia Staber, Stowers InstituteN/A
19–3, yw, Rsp[s]-B[s]/Dp(2:y)CB25–4, y+, Rsp[s]B[s]; SPSD/CyOBloomington Stock CenterBSC64332
yw; attP2{PCNA-EGFP}Blythe and Wieschaus, 2016N/A
Software and Algorithms
Bowtie2Langmead and Salzberg, 2012version 2.3.0
Picard MarkDuplicatesPicard Toolkit.2019. Broad Institute, GitHub Repository. http://broadinstitute.github.io/picard/; Broad Instituteversion 2.9.2
SAMtoolsLi et al., 2009version 1.9
MACS2Zhang et al., 2008version 2.1.1
deepToolsRamírez et al., 2014version 3.1.0
bedtoolsQuinlan and Hall, 2010version 2.27.1
InterveneKhan and Mathelier, 2017version 0.5.8
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