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SRX7282925: GSM4209212: GMR-GAL4_UAS-LOV; Drosophila melanogaster; ATAC-seq
1 ILLUMINA (Illumina NovaSeq 6000) run: 4.7M spots, 236.7M bases, 108.3Mb downloads

Submitted by: NCBI (GEO)
Study: Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [Omni-ATACseq]
show Abstracthide Abstract
Enhancers act as docking stations in the genome to which transcription factors bind, tightly regulating gene expression. Although single-cell technologies allow measuring chromatin accessibility or gene expression in each individual cell, exploiting both layers towards bona fide gene regulatory networks and enhancers is still a challenge. Here, we independently generate comprehensive single-cell transcriptome and epigenome atlases of the Drosophila eye-antennal disc and propose the spatial integration of single-cell RNA-seq and single-cell ATAC-seq data using a virtual latent space that mimics the spatial organization of the 2D tissue. To validate spatially predicted enhancers, we use a large collection of enhancer-reporter lines and identify ~85% of enhancers for which chromatin accessibility and enhancer activity patterns agree; while the remaining ~15% are ubiquitously accessible regions bound by the pioneer transcription factor Grainyhead, for which accessibility and activity do not correlate. Next, we infer linear and non-linear enhancer-to-target gene relationships in the virtual space, and find that genes are mostly regulated by multiple -and in some cases, redundant - enhancers. In addition, using cell-type specific enhancers learned from the scATAC-seq data, we deconvolute the cell-type specific effects of chromatin accessibility QTLs from a panel of 50 bulk ATAC-seq profiles from Drosophila inbred lines. Finally, we identify Prospero as a key transcription factor driving neuronal photoreceptor differentiation through the binding of a GGG recognition motif. In summary, we provide a comprehensive spatial characterization of gene regulation in a 2D tissue, which can be explored via SCope (http://scope.aertslab.org/#/Bravo_et_al_EyeAntennalDisc) and the UCSC Genome browser (http://genome.ucsc.edu/s/cbravo/Bravo_et_al_EyeAntennalDisc). Overall design: Omni-ATAC-seq data of the Drosophila third instar larvae eye-antennal disc upon TF overexpression with the GMR-GAL4 UAS-TF system.
Sample: GMR-GAL4_UAS-LOV
SAMN13499617 • SRS5776742 • All experiments • All runs
Library:
Instrument: Illumina NovaSeq 6000
Strategy: ATAC-seq
Source: GENOMIC
Selection: other
Layout: SINGLE
Construction protocol: Briefly, ~10 eye-antennal discs were dissected and lysed using 50 µl of cold ATAC-Resupension Buffer (RSB) (see Corces et al. for composition) containing 0.1% NP40, 0.1% Tween-20 and 0.01% digitonin by pipetting up and down three times and incubating the cells for 3 min on ice. The lysis was washed out by adding 1 mL of cold ATAC-RSB containing 0.1% Tween-20 and inverting the tube three times. Nuclei were pelleted at 500 RCF for 10 min at 4°C, the supernatant was carefully removed and nuclei were resuspended in 50 µl of transposition mixture (25 µl 2x TD buffer (see Corces et al. for composition), 2.5 µl transposase (100 nM), 16.5 µl DPBS, 0.5 µl 1% digitonin, 0.5 µl 10% Tween-20, 5 µl H2O) by pipetting six times up and down, followed by 30 minutes incubation at 37°C at 1000 RPM mixing rate. After MinElute clean-up and elution in 21 µl elution buffer, the transposed fragments were pre-amplified with Nextera primers by mixing 20 µl of transposed sample, 2.5 µl of both forward and reverse primers (25 µM) and 25 µl of 2x NEBNext Master Mix (program: 72°C for 5 min, 98°C for 30 sec and 5 cycles of [98°C for 10 sec, 63 °C for 30 sec, 72°C for 1 min] and hold at 4°C). To determine the required number of additional PCR cycles, a qPCR was performed (see Buenrostro et al.83 for the determination of the number of cycles to be added). The final amplification was done with the additional number of cycles, samples were cleaned-up by MinElute and libraries were prepped using the KAPA Library Quantification Kit as previously described82. Samples were sequenced on a NextSeq500 High Output chip, with 50bp single-end reads. Omni-ATAC-seq (Corces et al., 2017)
Experiment attributes:
GEO Accession: GSM4209212
Links:
Runs: 1 run, 4.7M spots, 236.7M bases, 108.3Mb
Run# of Spots# of BasesSizePublished
SRR106032844,733,984236.7M108.3Mb2020-04-10

ID:
9558690

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