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Links from GEO DataSets

Items: 20

1.

Mapping genotypes to chromatin accessibility profiles in single cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Other; Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24676
55 Samples
Download data: CSV, MTX, TSV, TXT
Series
Accession:
GSE204912
ID:
200204912
2.

Mapping genotypes to chromatin accessibility profiles in single cells [Genotyping GoT-ChA amplicon]

(Submitter supplied) Processed scATAC-seq sequencing data from myelofibrosis patients and raw sequencing data from scATAC-seq cell mixing experiments
Organism:
Homo sapiens
Type:
Other
Platform:
GPL24676
27 Samples
Download data: CSV
Series
Accession:
GSE204911
ID:
200204911
3.

Mapping genotypes to chromatin accessibility profiles in single cells [scATAC-seq; Pt01-19;Pt-02 DOGMAseq]

(Submitter supplied) Processed scATAC-seq sequencing data from myelofibrosis patients and raw sequencing data from scATAC-seq cell mixing experiments
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24676
28 Samples
Download data: CSV, MTX, TSV, TXT
Series
Accession:
GSE203251
ID:
200203251
4.

Single-Cell Genotyping of Transcriptomes

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus; Homo sapiens
Type:
Expression profiling by high throughput sequencing; Other
Platforms:
GPL16791 GPL22245 GPL15520
28 Samples
Download data: MTX, TSV, TXT
Series
Accession:
GSE117826
ID:
200117826
5.

Amplicon of Single-Cell Genotyping of Transcriptomes

(Submitter supplied) Somatic cancer driver mutations may result in distinctly diverging phenotypic outputs. Thus, a common driver lesion may result in cancer subtypes with distinct clinical presentations and outcomes. The diverging phenotypic outputs of mutations result from the superimposition of the mutations with distinct progenitor cell populations that have differing lineage potential. However, our ability to test this hypothesis has been challenged by currently available tools. more...
Organism:
Homo sapiens; Mus musculus
Type:
Other
Platforms:
GPL16791 GPL15520 GPL22245
16 Samples
Download data: TXT
Series
Accession:
GSE117825
ID:
200117825
6.

RNA-seq of Single-Cell Genotyping of Transcriptomes

(Submitter supplied) Somatic cancer driver mutations may result in distinctly diverging phenotypic outputs. Thus, a common driver lesion may result in cancer subtypes with distinct clinical presentations and outcomes. The diverging phenotypic outputs of mutations result from the superimposition of the mutations with distinct progenitor cell populations that have differing lineage potential. However, our ability to test this hypothesis has been challenged by currently available tools. more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL22245 GPL16791
12 Samples
Download data: MTX, TSV
Series
Accession:
GSE117824
ID:
200117824
7.

Effects of the treatment with pegIFNa, Azacytidine or pegIFNa+Azacytidine in LT-HSCs from JAK2-V617F MPN mice or JAK2-V617F;Dnmt3a-KO MPN mice.

(Submitter supplied) Pegylated interferon alpha (pegIFNα) can induce molecular remissions in JAK2-V617F-positive myeloproliferative neoplasms (MPN) patients by targeting long-term hematopoietic stem cells (LT-HSCs). Additional somatic mutations in genes regulating LT-HSC self-renewal, such as DNMT3A, have been reported to have poorer responses to pegIFNα. We investigated if DNMT3A loss leads to alterations in JAK2-V617F LT-HSCs functions conferring resistance to pegIFNα treatment in a mouse model of MPN and in hematopoietic progenitors from MPN patients. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24247
31 Samples
Download data: TSV
Series
Accession:
GSE255253
ID:
200255253
8.

Gene expression profile at single cell level of phenotypic LT-HSCs from single-mutant JAK2 V617F and double mutant JAK2 V617F;Dnmt3a-/- mice

(Submitter supplied) We investigated if Dnmt3a loss leads to alterations in JAK2 V617F LT-HSCs heterogenity and expression profile using single-cell RNA sequencing.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24247
16 Samples
Download data: FA, GTF, TSV, TXT
Series
Accession:
GSE225918
ID:
200225918
9.

Loss of Ezh2 synergizes with JAK2-V617F in initiating myeloproliferative neoplasms and promoting myelofibrosis

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL13112 GPL19057
64 Samples
Download data: TSV
Series
Accession:
GSE82074
ID:
200082074
10.

Next Generation Sequencing of long-term hematopoietic cells (LT-HSCs) with or without mutations in JAK2 and Ezh2

(Submitter supplied) Comparison of mRNA expression profiles of LT-HSCs with or without mutations in JAK2 and Ezh2 by RNA sequencing. LT-HSC mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of LT-HSC with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13112
35 Samples
Download data: TSV
Series
Accession:
GSE82073
ID:
200082073
11.

Next Generation Sequencing of megakaryocyte-erythrocyte progenitor cells (MEPs) with or without mutations in JAK2 and Ezh2

(Submitter supplied) Comparison of mRNA expression profiles of MEPs with or without mutations in JAK2 and Ezh2 by RNA sequencing. MEPs mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of MEP with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
29 Samples
Download data: TSV
Series
Accession:
GSE82072
ID:
200082072
12.

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and JAK2-V617F expressing hematopoietic stem and progenitor subsets

(Submitter supplied) Transcriptomics analysis was performed on FACS purified HSPC subsets from SclCre;V617F mice and WT mice bone marrow. The goal of this study is to identify the molecular signatures that are specific to the mutant JAK2 expressing HSPC subsets. We found that mutant JAK2 activation caused dysregulated expression of large numbers of genes in primitive HSPC subsets. Furthermore, this analysis revealed molecular identity and developmental proximity of HSC CD41+/- cells within the HSPC hierarchy.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
23 Samples
Download data: CSV
Series
Accession:
GSE132570
ID:
200132570
13.

Metabolic Alterations in JAK2 Mutant Hematopoietic Cells Represent Therapeutic Vulnerabilities for Myeloproliferative Neoplasms

(Submitter supplied) Increased energy requirement and metabolic reprograming is a hallmark of cancer cells. We found that mouse models of myeloproliferative neoplasms (MPN) expressing mutant JAK2 displayed systemic metabolic changes including hypoglycemia and adipose atrophy. Modulation of nutrient availability modified MPN manifestations and survival. Hypoglycemia in MPN mice correlated with hyperactive erythropoiesis and was due to a combination of elevated glycolysis and increased oxidative phosphorylation. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
9 Samples
Download data: TSV
Series
Accession:
GSE116571
ID:
200116571
14.

Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation [bulk RNA-Seq]

(Submitter supplied) Normal human hematopoiesis involves cellular differentiation of multipotent cells into progressively more lineage-restricted states. While epigenomic landscapes of this process have been explored in immunophenotypically-defined populations, the single-cell regulatory variation that defines hematopoietic differentiation has been hidden by ensemble averaging. We generated single-cell chromatin accessibility landscapes across 8 populations of immunophenotypically-defined human hematopoietic cell types. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
8 Samples
Download data: TXT
Series
Accession:
GSE96811
ID:
200096811
15.

Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platform:
GPL18573
2805 Samples
Download data
Series
Accession:
GSE96772
ID:
200096772
16.

Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation [bulk ATAC-Seq]

(Submitter supplied) Normal human hematopoiesis involves cellular differentiation of multipotent cells into progressively more lineage-restricted states. While epigenomic landscapes of this process have been explored in immunophenotypically-defined populations, the single-cell regulatory variation that defines hematopoietic differentiation has been hidden by ensemble averaging. We generated single-cell chromatin accessibility landscapes across 8 populations of immunophenotypically-defined human hematopoietic cell types. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18573
13 Samples
Download data: TXT
Series
Accession:
GSE96771
ID:
200096771
17.

Single-cell epigenomics maps the continuous regulatory landscape of human hematopoietic differentiation [scATAC-Seq]

(Submitter supplied) Normal human hematopoiesis involves cellular differentiation of multipotent cells into progressively more lineage-restricted states. While epigenomic landscapes of this process have been explored in immunophenotypically-defined populations, the single-cell regulatory variation that defines hematopoietic differentiation has been hidden by ensemble averaging. We generated single-cell chromatin accessibility landscapes across 8 populations of immunophenotypically-defined human hematopoietic cell types. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18573
2784 Samples
Download data: BED, TXT
Series
Accession:
GSE96769
ID:
200096769
18.

The Aim2 inflammasome and Gasdermin D promote atherosclerotic plaque necrosis in Jak2V617F clonal hematopoiesis

(Submitter supplied) scRNA-Sequencing of CD45+ cells harvested from aortas of Ldlr-/- mice following a 12 week western type diet.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24247
4 Samples
Download data: MTX, TSV
Series
Accession:
GSE163536
ID:
200163536
19.

GTAC enables parallel genotyping of multiple genomic loci with chromatin accessibility profiling in single cells

(Submitter supplied) Understanding clonal evolution and cancer development requires experimental approaches for characterizing the consequences of somatic mutations on gene regulation. However, no methods currently exist that efficiently link chromatin accessibility with genotype in single cells. To address this, we developed Genotyping with the Assay for Transposase-Accessible Chromatin (GTAC), enabling accurate mutation detection at multiple amplified loci, coupled with robust chromatin accessibility readout. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL15520 GPL21697
5 Samples
Download data: TSV
Series
Accession:
GSE214812
ID:
200214812
20.

Dynamics of Chromatin Accessibility during Hematopoietic Stem Cell Differentiation into Lineage-Committed Progeny

(Submitter supplied) Epigenetic mechanisms regulate the multilineage differentiation capacity of hematopoietic stem cells (HSCs) into a variety of blood and immune cells. Our recent work revealed evidence of multilineage gene priming in HSCs, where open cis-regulatory elements (CREs) exclusively shared between HSCs and unipotent lineage cells were enriched for DNA binding motifs of known lineage-specific transcription factors. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL17021
14 Samples
Download data: TXT
Series
Accession:
GSE184851
ID:
200184851
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