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Links from GEO DataSets

Items: 20

1.

Single cell RNA-seq of the human long-term self-renewing neuroepithelial-like stem cell line SAI2

(Submitter supplied) The transcriptome of single long-term self-renewing neuroepithelial-like stem cells (LT-NES) was studied in order to establish a baseline for investigations into modules of synergistically active transcription factors that determine developmental cell subpopulations
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
288 Samples
Download data: TAB
Series
Accession:
GSE114670
ID:
200114670
2.

Single cell transcriptome datasets of murine B cell commitment

(Submitter supplied) To identify the “time-lapse” TF networks during B lineage commitment, we established multipotent progenitors harboring a tamoxifen-inducible form of Id3, an in vitro system where virtually all cells became B cells within 6 days by simply withdrawing 4-OHT. In this study, single cell transcriptomic analysis at pre- and post-commitment was performed using the culture system. In addition, we also performed single cell RNA-seq analysis of B cell precursor populations (LMPP, CLP and pro-B cells) in murine bone marrow.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
5 Samples
Download data: MTX, TSV
Series
Accession:
GSE107527
ID:
200107527
3.

Temporal transcriptomic and epigenomic profiles of transition from hematopoietic multipotent progenitors to B committed cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18480
68 Samples
Download data: WIG
Series
Accession:
GSE106795
ID:
200106795
4.

Temporal epigenomic profiles of transition from hematopoietic multipotent progenitors to B committed cells [ChIP-seq]

(Submitter supplied) To identify the “time-lapse” TF networks during B lineage commitment, we established multipotent progenitors harboring a tamoxifen-inducible form of Id3, an in vitro system where virtually all cells became B cells within 6 days by simply withdrawing 4-OHT. In this study, epigenomic analysis at multiple time points was performed using the culture system.
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18480
24 Samples
Download data: WIG
Series
Accession:
GSE106794
ID:
200106794
5.

Temporal transcriptomic profiles of transition from hematopoietic multipotent progenitors to B committed cells [RNA-seq]

(Submitter supplied) To identify the “time-lapse” TF networks during B lineage commitment, we established multipotent progenitors harboring a tamoxifen-inducible form of Id3, an in vitro system where virtually all cells became B cells within 6 days by simply withdrawing 4-OHT. In this study, transcriptome analysis at multiple time points was performed using the culture system.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18480
44 Samples
Download data: TXT
Series
Accession:
GSE106793
ID:
200106793
6.

Time course profiling of scRNA-seq of non-directed differentiation of human Neural precursor cells (NPCs) generated from hESC

(Submitter supplied) Human pluripotent stem cells (hPSC) offer a unique cellular model to study the molecular details underpinning embryonic development. We profiled single-cell RNA-seq (scRNA-seq) on 957 single cells collected at 6 time points over a 30-day period of non-directed differentiation of human neural progenitor cells (NPC) generated from hESC. Computational and experimental analyses of this comprehensive data set enabled us to: 1) define distinct subpopulations of developing neurons and their specific gene expression patters; 2) elucidate alternative cell developmental trajectories within discrete time points of the differentiating populations; and 3) decipher gene regulatory networks and validated key regulators (transcription factors and lincRNAs) that dictate alternative cell fate specifications. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Download data: TXT
Series
Accession:
GSE102066
ID:
200102066
7.

REGION-SPECIFIC NEURAL STEM CELL LINEAGES REVEALED BY SINGLE-CELL RNA-SEQ FROM HUMAN EMBRYONIC STEM CELLS

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
4556 Samples
Download data
Series
Accession:
GSE86894
ID:
200086894
8.

Transcriptomes of lineage-specific Drosophila neuroblasts profiled via genetic targeting and robotic sorting

(Submitter supplied) A brain consists of numerous distinct neurons arising from a limited number of progenitors, called neuroblasts in Drosophila. Each neuroblast makes a specific neuronal lineage. To unravel the transcriptional networks that underlie the development of distinct neuroblast lineages, we marked and isolated lineage-specific neuroblasts for RNA sequencing. We labeled particular neuroblasts throughout neurogenesis by activating a conditional neuroblast driver in specific lineages using various intersection strategies. more...
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17275
22 Samples
Download data: TXT
Series
Accession:
GSE71104
ID:
200071104
9.

Identification of LRH1-driven transcription factor circuitry for hepatocyte identity using cistromic analysis of super-enhancers

(Submitter supplied) The gene expression circuitry that controls maintenance of normal liver physiology is poorly understood. Super-enhancers are known to contribute to mammalian cell identity. The injured liver loses normal functions, with concomitant decreased expression of key identity genes. Here, we identified core transcriptional regulators that are highly active in hepatocytes, using genome-wide analysis and hierarchical ordering of super-enhancer distribution. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
9 Samples
Download data: XLSX
Series
Accession:
GSE104302
ID:
200104302
10.

Base-resolution methylation patterns accurately predict transcription factor bindings in vivo

(Submitter supplied) Detecting in vivo transcription factor (TF) binding is important for understanding gene regulatory circuitries. ChIP-seq is a powerful technique to empirically define TF binding in vivo. However, the multitude of distinct TFs makes genome-wide profiling for them all labor-intensive and costly. Algorithms for in silico prediction of TF binding have been developed, based mostly on histone modification or DNase I hypersensitivity data in conjunction with DNA motif and other genomic features. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL13112
1 Sample
Download data: BED
Series
Accession:
GSE65093
ID:
200065093
11.

Functional Retinal Pigment Epithelium-like Cells from Human Fibroblasts

(Submitter supplied) The retinal pigment epithelium (RPE) provides vital support to photoreceptor cells and its dysfunction is associated with the onset and progression of age-related macular degeneration (AMD). Surgical provision of RPE cells may ameliorate AMD and thus it would be valuable to develop sources of patient-matched RPE cells for this application of regenerative medicine. We describe here the generation of functional RPE-like cells from fibroblasts that represent an important step toward that goal. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL570 GPL16043
20 Samples
Download data: CEL
Series
Accession:
GSE64264
ID:
200064264
12.

Single cell sequencing of the hippocampal niche

(Submitter supplied) Adult neurogenesis in the murine dentate gyrus occurs in a specialized microenvironment that sustains the generation of neurons during life. To fully understand adult neurogenesis, it is essential to determine the neural stem cell (NSC) and progenitor developmental stages, their molecular determinants, and the niche cellular and molecular composition. We report on a single cell RNA sequencing study of the hippocampal niche, performed by isolating all the non-neuronal cell populations. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
33 Samples
Download data: CSV, TSV
Series
Accession:
GSE106447
ID:
200106447
13.

Dissecting the direct reprogramming path of fibroblasts into neurons by single cell RNA-sequencing

(Submitter supplied) Direct lineage reprogramming represents a remarkable conversion of cellular and transcriptome states. However, the intermediates through which individual cells progress are largely undefined. Here we used single cell RNA-seq at multiple time points to dissect direct reprogramming from mouse embryonic fibroblasts (MEFs) to induced neuronal (iN) cells. By deconstructing heterogeneity at each time point and ordering cells by transcriptome similarity rather than time we reconstructed a continuous reprogramming path. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL19057 GPL13112
405 Samples
Download data: TXT
Series
Accession:
GSE67310
ID:
200067310
14.

Diverse reprogramming codes for neuronal identity

(Submitter supplied) The transcriptional programs that establish neuronal identity evolved to produce a rich diversity of neuronal cell types that arise sequentially during development. Remarkably, transient expression of certain transcription factors (TFs) can also endow non-neural cells with neuronal properties. To decipher the relationship between reprogramming factors and transcriptional networks that produce neuronal identity and diversity, we screened ~600 TF pairs and identified 76 that produce induced neurons (iNs) from fibroblasts. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
97 Samples
Download data: TXT
Series
Accession:
GSE112381
ID:
200112381
15.

Single cell RNA-seq data of human hESCs to evaluate Oscope - a statistical pipeline for identifying oscillatory genes in unsynchronized single cell RNA-Seq

(Submitter supplied) Oscillatory gene expression is fundamental to mammalian development, but technologies to monitor expression oscillations are limited. We have developed a statistical approach called Oscope to identify and characterize the transcriptional dynamics of oscillating genes in single-cell RNA-seq data from an unsynchronized cell population. Applications to a number of data sets, include a single-cell RNA-seq data set of human embroyonic stem cells (hESCs), demonstrate advantages of the approach and also identify a potential artifact in the Fluidigm C1 platform.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
460 Samples
Download data: CSV
Series
Accession:
GSE64016
ID:
200064016
16.

Functional genomics of artificial transcription factor-induced iPS cells

(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:
GPL17021 GPL16791
65 Samples
Download data: TXT
Series
Accession:
GSE89221
ID:
200089221
17.

ChIP-seq of H3K27ac, H3K9me3, and HA tag for ATFs on MEF-derived cells

(Submitter supplied) We tested a genome-scale artificial transcription factor (ATF) library in reprogramming mouse embryonic fibroblasts to induced pluripotent stem (iPS) cells. Three combinations of ATFs (C2, C3, and C4) could induce pluripotency when expressed with Sox2, Klf4, and c-Myc. The transcriptional profiles of ATF-induced iPS cells are similar to that of iPS cells induced with Oct4, Sox2, Klf4, and c-Myc and mouse embryonic stem cells, exhibiting up-regulation of pluripotency markers and down-regulation of fibroblast markers. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL17021
22 Samples
Download data: CSV, TXT
Series
Accession:
GSE89220
ID:
200089220
18.

Global transcriptional profiling of HEK293 cells transfected with ATFs, mouse embryonic fibroblasts, and mouse iPS cells derived with artificial transcription factors

(Submitter supplied) We tested various architectures of artificial transcription factors (ATFs) in HEK293 cells to test the contribution of the interaction domain, nuclear localization domain, size of DNA-binding domain, and activation domain. Then we made a genome-scale ATF library and tested it in reprogramming mouse embryonic fibroblasts to induced pluripotent stem (iPS) cells. Three combinations of ATFs (C2, C3, and C4) could induce pluripotency when expressed with Sox2, Klf4, and c-Myc. more...
Organism:
Mus musculus; Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL16791 GPL17021
43 Samples
Download data: TXT
Series
Accession:
GSE89219
ID:
200089219
19.

Single cell RNA sequencing of multiple myeloma II

(Submitter supplied) To investigate the relationship between genetic and transcriptional heterogeneity in a context of cancer progression, we devised a computational approach called HoneyBADGER to identify copy number variation and loss-of-heterozygosity in individual cells from single-cell RNA-sequencing data. By combining allele frequency and expression magnitude deviations, HoneyBADGER is able to infer the presence of subclone-specific alterations in individual cells and reconstruct subclonal architecture. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
174 Samples
Download data: TXT
Series
Accession:
GSE110499
ID:
200110499
20.

Using single-cell RNA-Seq for unbiased analysis of developmental hierarchies (single cell RNA Seq of Gfi1-/- Irf8-/- GMP)

(Submitter supplied) Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
47 Samples
Download data: TXT
Series
Accession:
GSE78907
ID:
200078907
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