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Links from GEO DataSets

Items: 20

1.

DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers [Human oligo UMI-STARR-seq]

(Submitter supplied) Enhancer sequences control gene expression and comprise binding sites (motifs) for different transcription factors (TFs). Despite extensive genetic and computational studies, the relationship between DNA sequence and regulatory activity is poorly understood and enhancer de novo design is considered impossible. Here we built a deep learning model, DeepSTARR, to quantitatively predict the activities of thousands of developmental and housekeeping enhancers directly from DNA sequence in Drosophila melanogaster S2 cells. more...
Organism:
synthetic construct; Homo sapiens
Type:
Other
Platforms:
GPL27609 GPL21697
4 Samples
Download data: TXT
Series
Accession:
GSE183938
ID:
200183938
2.

DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers

(Submitter supplied) Enhancer sequences control gene expression and comprise binding sites (motifs) for different transcription factors (TFs). Despite extensive genetic and computational studies, the relationship between DNA sequence and regulatory activity is poorly understood and enhancer de novo design is considered impossible. Here we built a deep learning model, DeepSTARR, to quantitatively predict the activities of thousands of developmental and housekeeping enhancers directly from DNA sequence in Drosophila melanogaster S2 cells. more...
Organism:
Drosophila melanogaster; synthetic construct; Homo sapiens
Type:
Other
6 related Platforms
22 Samples
Download data: BW
Series
Accession:
GSE183939
ID:
200183939
3.

DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers [Drosophila oligo UMI-STARR-seq]

(Submitter supplied) Enhancer sequences control gene expression and comprise binding sites (motifs) for different transcription factors (TFs). Despite extensive genetic and computational studies, the relationship between DNA sequence and regulatory activity is poorly understood and enhancer de novo design is considered impossible. Here we built a deep learning model, DeepSTARR, to quantitatively predict the activities of thousands of developmental and housekeeping enhancers directly from DNA sequence in Drosophila melanogaster S2 cells. more...
Organism:
Drosophila melanogaster; synthetic construct
Type:
Other
Platforms:
GPL26526 GPL25244
12 Samples
Download data: TXT
Series
Accession:
GSE183937
ID:
200183937
4.

DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers [Drosophila genome-wide UMI-STARR-seq]

(Submitter supplied) Enhancer sequences control gene expression and comprise binding sites (motifs) for different transcription factors (TFs). Despite extensive genetic and computational studies, the relationship between DNA sequence and regulatory activity is poorly understood and enhancer de novo design is considered impossible. Here we built a deep learning model, DeepSTARR, to quantitatively predict the activities of thousands of developmental and housekeeping enhancers directly from DNA sequence in Drosophila melanogaster S2 cells. more...
Organism:
Drosophila melanogaster; synthetic construct
Type:
Other
Platforms:
GPL27609 GPL22106 GPL19604
6 Samples
Download data: BW, TXT
Series
Accession:
GSE183936
ID:
200183936
5.

Quantitative-enhancer-FACS-seq (QeFS) reveals epistatic interactions among motifs within transcriptional enhancers in developing Drosophila tissue

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Drosophila melanogaster; unidentified plasmid
Type:
Other
Platforms:
GPL21376 GPL19132
19 Samples
Download data: FASTA, TSV, TXT
Series
Accession:
GSE149908
ID:
200149908
6.

Quantitative-enhancer-FACS-seq (QeFS) reveals epistatic interactions among motifs within transcriptional enhancers in developing Drosophila tissue [Drosophila melanogaster]

(Submitter supplied) Activity of enhancers in Drosophila embryos was measured by highly parallel reporter assay. We examined the results of mutating binding sites for 4 poorly studied TFs individually or in combination, and characterized complex genetic interactions among the different classes of motif mutant.
Organism:
Drosophila melanogaster
Type:
Other
Platform:
GPL19132
18 Samples
Download data: TXT, XLS
Series
Accession:
GSE149906
ID:
200149906
7.

Quantitative-enhancer-FACS-seq (QeFS) reveals epistatic interactions among motifs within transcriptional enhancers in developing Drosophila tissue [plasmid]

(Submitter supplied) Activity of enhancers in Drosophila embryos was measured by highly parallel reporter assay. We examined the results of mutating binding sites for 4 poorly studied TFs individually or in combination, and characterized complex genetic interactions among the different classes of motif mutant.
Organism:
unidentified plasmid
Type:
Other
Platform:
GPL21376
1 Sample
Download data: FASTA, TSV, TXT
Series
Accession:
GSE149875
ID:
200149875
8.

Dissection of thousands of cell type-specific enhancers identifies dinucleotide repeat motifs as general enhancer features

(Submitter supplied) Gene expression is determined by genomic elements called enhancers, which contain short motifs bound by different transcription factors (TFs). However, how enhancer sequences and TF motifs relate to enhancer activity is unknown and general sequence requirements for enhancers or comprehensive sets of important enhancer sequence elements have remained elusive. Here, we computationally dissect thousands of functional enhancer sequences from three different Drosophila cell lines. more...
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing; Other
Platform:
GPL11203
3 Samples
Download data: TXT
Series
Accession:
GSE49809
ID:
200049809
9.

Expression data in wt or mutant Drosophila melanogaster embryos

(Submitter supplied) Terminal differentiation of epidermal cells in Drosophila embryos requires the activity of a transcription factor. Svb is necessary and sufficient to induce this process. pri is a regulator of Svb activity, converting it from a repressor into an activator. To characterize the downstream Svb and pri effectors in cell morphogenesis, we performed microarrays in wt, svb -/- (no gene) and pri -/- (svb repressor) mutant conditions.
Organism:
Drosophila melanogaster
Type:
Expression profiling by array
Platform:
GPL1322
15 Samples
Download data: CEL, TXT
Series
Accession:
GSE48997
ID:
200048997
10.

Decoding the transcriptional program of epidermal cell morphogenesis

(Submitter supplied) Developmental programs are implemented by regulatory interactions between Transcription Factors (TFs) and their target genes, which remain yet poorly understood. While recent studies have focused on regulatory cascades of TFs that govern early development, little is known on how these are selected and controlled the ultimate cellular effectors of terminal differentiation. We addressed this question during late Drosophila embryogenesis when the finely tuned expression of a TF, Ovo/Shavenbaby (Svb), triggers the morphological differentiation of epidermal trichomes. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL9058
3 Samples
Download data: BED, TXT, WIG
Series
Accession:
GSE48791
ID:
200048791
11.

Enhancer-core promoter specificity separates developmental and housekeeping regulation

(Submitter supplied) Gene transcription in animals involves the assembly of the RNA polymerase II complex at core promoters and its cell type-specific activation by genomic enhancers that can be located more distally. However, how ubiquitous expression of housekeeping genes is achieved has remained less clear. In particular, it is unknown whether ubiquitously active enhancers exist and how developmental and housekeeping gene regulation is separated. more...
Organism:
Drosophila melanogaster
Type:
Other
Platforms:
GPL13304 GPL11203
39 Samples
Download data: TXT
Series
Accession:
GSE57876
ID:
200057876
12.

Genome-wide quantitative enhancer activity maps identified by STARR-seq

(Submitter supplied) Genomic enhancers are important regulators of gene expression, but their identification is a challenge and methods depend on indirect measures of activity. We developed a method termed STARR-seq to directly and quantitatively assess enhancer activity for millions of candidates from arbitrary sources of DNA, enabling screens across entire genomes. When applied to the Drosophila genome, STARR-seq identifies thousands of cell type-specific enhancers across a broad continuum of strengths, linking differential gene expression to differences in enhancer activity and creating a genome-wide quantitative enhancer map. more...
Organism:
Drosophila melanogaster; Homo sapiens
Type:
Expression profiling by high throughput sequencing; Other; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL11203 GPL13304 GPL11154
18 Samples
Download data: TXT
Series
Accession:
GSE40739
ID:
200040739
13.

Genome-wide Tinman binding sites in early and late Drosophila embryos

(Submitter supplied) The Drosophila transcription factor Tinman (Tin) is involved in embryonic heart development. We have analyzed genomic binding sites for Tin using a ChIP-chip strategy, making use of our high-quality antibody and Affymetrix Drosophila Tiling Arrays. We sampled to time points (early: 3-5.5h AEL and late: 5-8h AEL) that see distinct Tin expression in the embryo. Our data analysis yielded 2548 binding events in early and 988 binding events in late embryos. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by genome tiling array
Platform:
GPL5919
2 Samples
Download data: BAR, BED, CEL, SGR
Series
Accession:
GSE41628
ID:
200041628
14.

Integrative analysis of the zinc finger transcription factor Lame duck in the Drosophila myogenic gene regulatory network

(Submitter supplied) Contemporary high throughput technologies permit the rapid identification of transcription factor (TF) target genes on a genome-wide scale, yet the functional significance of TFs requires knowledge of target gene expression patterns, cooperating TFs and cis-regulatory element (CRE) structures. Here we investigated the myogenic regulatory network downstream of the Drosophila zinc finger TF Lame duck (Lmd) by combining both previously published and newly performed genomic data sets, including chromatin immunoprecipitation sequencing (ChIP-seq), genome-wide mRNA profiling, cell-specific expression patterns of putative transcriptional targets, analysis of histone mark signatures, studies of TF co-occupancy by additional mesodermal regulators, TF binding site determination using protein binding microarrays (PBMs), and machine learning of candidate CRE motif compositions. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL13304
3 Samples
Download data: BED, WIG
Series
Accession:
GSE38402
ID:
200038402
15.

Cooperative Binding between distant Transcription Factors is a Hallmark of Active Enhancers

(Submitter supplied) Enhancers harbor binding motifs that recruit transcription factors (TFs) for gene activation. While cooperative binding of TFs at enhancers is known to be critical for transcriptional activation of a handful of developmental enhancers, the extent TF cooperativity genome-wide is unknown. Here, we couple high-resolution nuclease footprinting with single-molecule methylation profiling to characterize TF cooperativity at active enhancers in the Drosophila genome. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL17275
3 Samples
Download data: BW
Series
Accession:
GSE157664
ID:
200157664
16.

Atonal and Senseless perturbations in Drosophila melanogaster eye-antennal imaginal discs.

(Submitter supplied) The goal of this study is to identify co-expressed genes downstream of Atonal and Senseless. These gene lists are used as candidate target genes (technically: as foreground sets) in computational predictions of cis-regulatory elements using the cisTargetX method (http://med.kuleuven.be/cme-mg/lng/cisTargetX). Together, the gene expression results and cis-regulatory predictions, yield a gene regulatory network underlying the early events in retinal differentiation. more...
Organism:
Drosophila melanogaster
Type:
Expression profiling by array
Platform:
GPL1322
20 Samples
Download data: CEL
Series
Accession:
GSE16713
ID:
200016713
17.

Cell type directed design of synthetic enhancers

(Submitter supplied) Transcriptional enhancers act as docking stations for combinations of transcription factors and thereby regulate spatiotemporal activation of their target genes. A single enhancer, of a few hundred base pairs in length, can autonomously and independently of its location and orientation drive cell-type specific expression of a gene or transgene. It has been a long-standing goal in the field to decode the regulatory logic of an enhancer and to understand the details of how spatiotemporal gene expression is encoded in an enhancer sequence. more...
Organism:
Drosophila melanogaster; Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL30203 GPL30173
13 Samples
Download data: BW
Series
Accession:
GSE240003
ID:
200240003
18.

Decoding gene regulation in the fly brain

(Submitter supplied) The Drosophila brain is a work horse in neuroscience. Single-cell transcriptome analysis, 3D morphological classification, and detailed mapping of the connectome have revealed an immense diversity of neuronal and glial cell types that underlie the wide array of functional and behavioral traits in the fruit fly. The developmental trajectories of each of these cell types, from neuroblast to mature neuron or glial cell, as well as their maintenance and plasticity in the adult brain, are controlled by gene regulatory networks (GRNs) In this study, we profiled chromatin accessibility of 240,000 single cells, spanning nine developmental time points from larval, pupal, and adult brains, and integrated this data with single-cell transcriptomes. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL25244 GPL30203 GPL19132
58 Samples
Download data: BED, BW, GFF, NARROWPEAK, RDATA, RDS
Series
Accession:
GSE163697
ID:
200163697
19.

Evolved Repression Overcomes Enhancer Robustness

(Submitter supplied) Biological systems display extraordinary robustness. Robustness of transcriptional enhancers results mainly from clusters of binding sites for the same transcription factor, and it is not clear how robust enhancers can evolve loss of expression through point mutations. Here, we report the high-resolution functional dissection of a robust enhancer of the shavenbaby gene that has contributed to morphological evolution. more...
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13304
8 Samples
Download data: TXT
Series
Accession:
GSE80790
ID:
200080790
20.

Impacts of the Ubiquitous Factor Zelda on Bicoid-dependent DNA-binding and Transcription in Drosophila

(Submitter supplied) In vivo crosslinking studies suggest that the Drosophila transcription factor Bicoid (Bcd) binds to several thousand sites during early embryogenesis, but it is not clear how many of these binding events are functionally important. In contrast, reporter gene studies have identified more than 60 Bcd-dependent enhancers, all of which contain clusters of the consensus binding sequence TAATCC. These studies also identified clusters of TAATCC motifs (inactive fragments) that failed to drive Bcd-dependent activation. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL13304
8 Samples
Download data: TXT
Series
Accession:
GSE55256
ID:
200055256
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