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Links from GEO DataSets

Items: 20

1.

Spatially resolved epigenomic profiling of single cells in complex tissues

(Submitter supplied) The recent development of spatial omics enables single-cell profiling of the transcriptome and the 3D organization of the genome in a spatially resolved manner. A spatial epigenomics method would expand the repertoire of spatial omics tools and accelerate our understanding of the spatial regulation of cellular processes and tissue functions. Here, we developed an imaging approach for spatially resolved profiling of epigenetic modifications in single cells
Organism:
Homo sapiens
Type:
Other
Platform:
GPL24676
5 Samples
Download data: NARROWPEAK, PDF
Series
Accession:
GSE191069
ID:
200191069
2.

A prostate cancer chromatin interaction map

(Submitter supplied) A high-resolution 3D epigenomic map reveals insights into the creation of the prostate cancer transcriptome Prostate cancer (PCa) is the leading cancer among men in the United States. To understand gene regulation in 3D, chromatin interactions in prostate cancer cell is measured using in situ Hi-C. To better understand the impact of chromatin structure on regulation of the prostate cancer transcriptome, we developed high-resolution chromatin interaction maps in normal and prostate cancer cells using in situ Hi-C. more...
Organism:
Homo sapiens
Type:
Other; Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platforms:
GPL11154 GPL18573 GPL21290
35 Samples
Download data: BED, BROADPEAK, TXT
3.

ZFX acts as a transcriptional activator in multiple types of human tumors by binding downstream of transcription start sites at the majority of CpG island promoters

(Submitter supplied) We performed ChIP-seq in four cancer cell lines to identify ZFX binding sites throughout the human genome. We also performed RNA-seq analysis after knockdown of ZFX by siRNA in prostate and breast cancer cells. Using Nucleosome Occupancy and Methylome Sequencing (NOMe-seq), we show that ZFX binds between the open chromatin region at the TSS and the first downstream nucelosome, suggesting that ZFX may play a critical role in promoter architecture. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing
Platforms:
GPL21290 GPL20301 GPL11154
47 Samples
Download data: BEDGRAPH, TXT
4.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL19132 GPL25244 GPL21306
429 Samples
Download data: BW, TSV
Series
Accession:
GSE141590
ID:
200141590
5.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [10X_scRNAseq]

(Submitter supplied) 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. more...
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21306
1 Sample
Download data: TSV
Series
Accession:
GSE141589
ID:
200141589
6.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [10X_scATACseq]

(Submitter supplied) 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. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL19132
1 Sample
Download data: TSV
Series
Accession:
GSE141586
ID:
200141586
7.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [Omni-ATACseq]

(Submitter supplied) 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. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL19132 GPL25244
14 Samples
Download data: BW
Series
Accession:
GSE141584
ID:
200141584
8.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [FluidigmC1_scATACseq]

(Submitter supplied) 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. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL19132
384 Samples
Download data: BW, TSV
Series
Accession:
GSE141580
ID:
200141580
9.

Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics [ATACseq]

(Submitter supplied) 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. more...
Organism:
Drosophila melanogaster
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL19132
29 Samples
Download data: BW, TSV
Series
Accession:
GSE141573
ID:
200141573
10.

Spatial epigenome-transcriptome co-profiling of mammalian tissues

(Submitter supplied) We present spatially resolved high-spatial-resolution genome-wide co-mapping of epigenome and transcriptome by simultaneously profiling of chromatin accessibility and gene expression (spatial-ATAC-RNA-seq), as well as histone modification and gene expression (spatial-CUT&Tag-RNA-seq) on the same tissue section at cellular level by combining the microfluidic deterministic barcoding strategy in DBiT-seq and the chemistry used in ATAC-seq/CUT&Tag.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24247
6 Samples
Download data: TAR, TSV
Series
Accession:
GSE218593
ID:
200218593
11.

Spatial epigenome-transcriptome co-profiling of mammalian tissues [spatial CUT&Tag]

(Submitter supplied) We present spatially resolved high-spatial-resolution genome-wide co-mapping of epigenome and transcriptome by simultaneously profiling of chromatin accessibility and gene expression (spatial-ATAC-RNA-seq), as well as histone modification and gene expression (spatial-CUT&Tag-RNA-seq) on the same tissue section at cellular level by combining the microfluidic deterministic barcoding strategy in DBiT-seq and the chemistry used in ATAC-seq/CUT&Tag.
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24247
4 Samples
Download data: TSV
Series
Accession:
GSE217091
ID:
200217091
12.

Spatial epigenome-transcriptome co-profiling of mammalian tissues [Human RNA-Seq]

(Submitter supplied) We present spatially resolved high-spatial-resolution genome-wide co-mapping of epigenome and transcriptome by simultaneously profiling of chromatin accessibility and gene expression (spatial-ATAC-RNA-seq), as well as histone modification and gene expression (spatial-CUT&Tag-RNA-seq) on the same tissue section at cellular level by combining the microfluidic deterministic barcoding strategy in DBiT-seq and the chemistry used in ATAC-seq/CUT&Tag.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
1 Sample
Download data: TAR, TSV
Series
Accession:
GSE205181
ID:
200205181
13.

Spatial epigenome-transcriptome co-profiling of mammalian tissues [Human ATAC-Seq]

(Submitter supplied) We present spatially resolved high-spatial-resolution genome-wide co-mapping of epigenome and transcriptome by simultaneously profiling of chromatin accessibility and gene expression (spatial-ATAC-RNA-seq), as well as histone modification and gene expression (spatial-CUT&Tag-RNA-seq) on the same tissue section at cellular level by combining the microfluidic deterministic barcoding strategy in DBiT-seq and the chemistry used in ATAC-seq/CUT&Tag.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24676
1 Sample
Download data: TAR, TSV
Series
Accession:
GSE205180
ID:
200205180
14.

Spatial epigenome-transcriptome co-profiling of mammalian tissues

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL24676 GPL24247
22 Samples
Download data: TAR, TSV
Series
Accession:
GSE205055
ID:
200205055
15.

Spatial epigenome-transcriptome co-profiling of mammalian tissues [RNA-Seq]

(Submitter supplied) We present spatially resolved high-spatial-resolution genome-wide co-mapping of epigenome and transcriptome by simultaneously profiling of chromatin accessibility and gene expression (spatial-ATAC-RNA-seq), as well as histone modification and gene expression (spatial-CUT&Tag-RNA-seq) on the same tissue section at cellular level by combining the microfluidic deterministic barcoding strategy in DBiT-seq and the chemistry used in ATAC-seq/CUT&Tag.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24247
4 Samples
Download data: TAR, TSV
Series
Accession:
GSE205054
ID:
200205054
16.

Spatial epigenome-transcriptome co-profiling of mammalian tissues [ATAC-Seq]

(Submitter supplied) We present spatially resolved high-spatial-resolution genome-wide co-mapping of epigenome and transcriptome by simultaneously profiling of chromatin accessibility and gene expression (spatial-ATAC-RNA-seq), as well as histone modification and gene expression (spatial-CUT&Tag-RNA-seq) on the same tissue section at cellular level by combining the microfluidic deterministic barcoding strategy in DBiT-seq and the chemistry used in ATAC-seq/CUT&Tag.
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24247
5 Samples
Download data: TAR, TSV
Series
Accession:
GSE205052
ID:
200205052
17.

Spatial epigenome-transcriptome co-profiling of mammalian tissues [CUT&TAG]

(Submitter supplied) We present spatially resolved high-spatial-resolution genome-wide co-mapping of epigenome and transcriptome by simultaneously profiling of chromatin accessibility and gene expression (spatial-ATAC-RNA-seq), as well as histone modification and gene expression (spatial-CUT&Tag-RNA-seq) on the same tissue section at cellular level by combining the microfluidic deterministic barcoding strategy in DBiT-seq and the chemistry used in ATAC-seq/CUT&Tag.
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24247
1 Sample
Download data: TAR, TSV
Series
Accession:
GSE205051
ID:
200205051
18.

Genome-wide maps of cytosine methylation, cytosine hydroxylmethylation and small non coding RNAs in mouse ES cells and upon guided differentiation to mesoendoderm cells

(Submitter supplied) Genome-wide maps of cytosine methylation, cytosine hydroxylmethylation and small non coding RNAs in mouse ES cells and upon guided differentiation to mesoendoderm cells. Mouse embryonic stem cells (E14) were guided differentiated into mesoendoderm lineages by activin-A induction. cells in three time points (day0, day4 and day6) were collected. The genome-wide studies on three cell types were summerized as following: cytosine methylation data were generated using methylated DNA immunoprecipitation followed by sequencing (MeDIP-seq) and DNA digestion by methyl-sensitive restriction enzymes followed by sequencing (MRE-seq); DNA product for 5-hmC_ChIP-seq is generated by a selctive chemical labeling method (Nat. more...
Organism:
Mus musculus
Type:
Non-coding RNA profiling by high throughput sequencing; Methylation profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
4 related Platforms
36 Samples
Download data: BAM, BED, GTF, TXT
Series
Accession:
GSE38596
ID:
200038596
19.

Integrative analysis of reference epigenomes in rice

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Oryza sativa
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing
Platform:
GPL24468
513 Samples
Download data: BW, TXT
Series
Accession:
GSE142570
ID:
200142570
20.

Integrative analysis of reference epigenomes in rice [ChIP-reChIP-seq]

(Submitter supplied) Approximately 73% of rice genomes were annotated with different epigenomic properties. Refinement of promoter regions using open chromatin and H3K4me3-marked regions provided insight into transcriptional regulation. Active and repressed histone modifications and the predicted enhancers varied largely across tissues, whereas inactive chromatin states were relatively stable. Further, we investigated the impact of genetic variants on epigenomic signals and gene expression. more...
Organism:
Oryza sativa
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24468
4 Samples
Download data: BW
Series
Accession:
GSE142569
ID:
200142569
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