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Links from GEO DataSets

Items: 20

1.

Single-cell RNA-seq reveals differentiation hierarchy of normal human bone marrow and a distinct transcriptome signature of aneuploid cells

(Submitter supplied) In order to get a better understanding of the gene signature of aneuploid cells, we applied single cell RNA sequencing on human bone marrow cells from healthy donors and patients with bone marrow failure and cytogenetic abnormalities. We chacterized normal hemaopoiesis as binary differentiation and identified aneuploid cells from patient samples.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL21290 GPL16791
1202 Samples
Download data: CSV, GTF
Series
Accession:
GSE99095
ID:
200099095
2.

LncRNA Spehd regulates hematopoietic stem cells and progenitors and is required for multilineage differentiation

(Submitter supplied) Long non-coding RNAs (lncRNAs) show patterns of tissue- and cell-type-specific expression that are very similar to those of protein coding genes and consequently have the potential to control stem and progenitor cell fate decisions along a differentiation trajectory. To understand the roles that lncRNAs might play in hematopoiesis, we selected a subset of mouse lncRNAs with potentially relevant expression patterns and refined our candidate list using evidence of conserved expression in human blood lineages. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21103
19 Samples
Download data: CSV, TXT
Series
Accession:
GSE124302
ID:
200124302
3.

Long Non-coding RNAs Control Hematopoietic Stem Cell (HSC) Function (ChIRP-seq)

(Submitter supplied) Long non-coding RNAs (lncRNAs) have recently emerged as new players in gene expression regulation. Whether and how lncRNAs might control hematopoietic stem cell (HSC) function remains largely unknown. Here, we profiled the transcriptome of purified long-term HSCs by deep RNA-sequencing and identified thousands of un-annotated transcripts of which 323 are predicted to be lncRNAs. Comparison of their expression in differentiated lineages represented by B cells (B220+) and Granulocytes (Gr1+), revealed that 159 are likely to be HSC-specific. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL17021
11 Samples
Download data: BED, BW
Series
Accession:
GSE66819
ID:
200066819
4.

Long Non-coding RNAs Control Hematopoietic Stem Cell (HSC) Function

(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
Platforms:
GPL13112 GPL17021
19 Samples
Download data: BW, TSV, TXT
Series
Accession:
GSE63277
ID:
200063277
5.

Long Non-coding RNAs Control Hematopoietic Stem Cell (HSC) Function (ChIP-Seq)

(Submitter supplied) Long non-coding RNAs (lncRNAs) have recently emerged as new players in gene expression regulation. Whether and how lncRNAs might control hematopoietic stem cell (HSC) function remains largely unknown. Here, we profiled the transcriptome of purified long-term HSCs by deep RNA-sequencing and identified thousands of un-annotated transcripts of which 323 are predicted to be lncRNAs. Comparison of their expression in differentiated lineages represented by B cells (B220+) and Granulocytes (Gr1+), revealed that 159 are likely to be HSC-specific. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL13112
3 Samples
Download data: BW, TXT
Series
Accession:
GSE63276
ID:
200063276
6.

Long Non-coding RNAs Control Hematopoietic Stem Cell (HSC) Function (RNA-Seq)

(Submitter supplied) Long non-coding RNAs (lncRNAs) have recently emerged as new players in gene expression regulation. Whether and how lncRNAs might control hematopoietic stem cell (HSC) function remains largely unknown. Here, we profiled the transcriptome of purified long-term HSCs by deep RNA-sequencing and identified thousands of un-annotated transcripts of which 323 are predicted to be lncRNAs. Comparison of their expression in differentiated lineages represented by B cells (B220+) and Granulocytes (Gr1+), revealed that 159 are likely to be HSC-specific. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13112
5 Samples
Download data: TSV
Series
Accession:
GSE53928
ID:
200053928
7.

Neonatal Heart Maturation (NHM) SuperSeries GSE85728

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platform:
GPL21103
34 Samples
Download data: TXT
Series
Accession:
GSE85728
ID:
200085728
8.

Decoding the Long Noncoding RNA during Cardiac Maturation: a Roadmap for Functional Discovery [RNA]

(Submitter supplied) Cardiac maturation during perinatal transition of heart is critical for functional adaptation to hemodynamic load and nutrient environment. Perturbation in this process has major implications in congenital heart defects (CHDs). Transcriptome programming during perinatal stages is important information but incomplete in current literature, particularly, the expression profiles of the long noncoding RNAs (lncRNAs) are not fully elucidated
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21103
17 Samples
Download data: TXT
Series
Accession:
GSE85727
ID:
200085727
9.

Decoding the Long Noncoding RNA during Cardiac Maturation: a Roadmap for Functional Discovery [lncRNA]

(Submitter supplied) Cardiac maturation during perinatal transition of heart is critical for functional adaptation to hemodynamic load and nutrient environment. Perturbation in this process has major implications in congenital heart defects (CHDs). Transcriptome programming during perinatal stages is important information but incomplete in current literature, particularly, the expression profiles of the long noncoding RNAs (lncRNAs) are not fully elucidated
Organism:
Mus musculus
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL21103
17 Samples
Download data: TXT
Series
Accession:
GSE85726
ID:
200085726
10.

Noncoding RNA transcriptome analysis during cellular reprogramming

(Submitter supplied) We report the application of single-cell and bulk RNA sequencing technology to examine the noncoding transcriptome of cells undergoing reprogramming to the pluripotent state.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platforms:
GPL13112 GPL17021
95 Samples
Download data: FPKM_TRACKING
Series
Accession:
GSE55291
ID:
200055291
11.

Systematic identification and comparison of expressed profiles of lncRNAs and circRNAs in male and female germline stem cells

(Submitter supplied) Male and female germline stem cells are critical for passing genetic information from generation to generation. Accumulating evidences indicate that long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) play important roles in self-renewal and differentiation of germline stem cells. However, the mechanisms remain largely unknown. In this study, we explored the mRNAs, lncRNAs and circRNAs expression profiles of male and female germline stem cells through high-throughput sequencing.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platform:
GPL13112
6 Samples
Download data: XLSX
Series
Accession:
GSE87824
ID:
200087824
12.

Transcriptome profiling identified a 3-lncRNA regulatory network in transthyretin against glucose induced hRECs dysfunction

(Submitter supplied) Transcriptome of human retinal endothelial cells (hRECs) treated with low glucose (LG), high glucose (HG) or high glucose with 4 uM TTR (HG+TTR) were conducted. Differentially expressed lncRNAs, mRNAs and TTR related lncRNAs and mRNA were acquired for further analysis. Functional annotation and enrichment including KEGG pathway, GO and GSEA were applied to analyze TTR regulated pathway and process. WGCNA analysis was implemented to obtain hub modules and genes. LncRNA-mRNA regulatory network were constructed based on cis, trans and ceRNA acting mode.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21290
9 Samples
Download data: TXT
13.

lncRNA dependencies in acute myeloid leukemia

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
synthetic construct; Mus musculus
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platforms:
GPL13112 GPL17769 GPL17021
145 Samples
Download data
Series
Accession:
GSE90072
ID:
200090072
14.

Comprenhensive lncRNA expression analysis through normal hematopoiesis and AML

(Submitter supplied) It is well understood how proteins regulate cell fate, both in normal development and disease. However, a substantial fraction of the genome is transcribed in a cell type- specific manner, producing long non-coding RNAs (lncRNA) rather than protein- coding transcripts. Here we systematically characterize transcriptional dynamics (both mRNA and lncRNA) during hematopoiesis and in hematological malignancies. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
22 Samples
Download data: CSV, GTF
Series
Accession:
GSE90067
ID:
200090067
15.

shRNA screen identifies lncRNAs required for acute myeloid leukemia progresion

(Submitter supplied) It is well understood how proteins regulate cell fate, both in normal development and disease. However, a substantial fraction of the genome is transcribed in a cell type- specific manner, producing long non-coding RNAs (lncRNA) rather than protein- coding transcripts. Here we systematically characterize transcriptional dynamics (both mRNA and lncRNA) during hematopoiesis and in hematological malignancies. more...
Organism:
synthetic construct
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL17769
81 Samples
Download data: FASTA, XLS
Series
Accession:
GSE90065
ID:
200090065
16.

RNAseq analysis of AML cells upon lncRNA knockdown

(Submitter supplied) It is well understood how proteins regulate cell fate, both in normal development and disease. However, a substantial fraction of the genome is transcribed in a cell type- specific manner, producing long non-coding RNAs (lncRNA) rather than protein- coding transcripts. Here we systematically characterize transcriptional dynamics (both mRNA and lncRNA) during hematopoiesis and in hematological malignancies. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13112
42 Samples
Download data: TXT
Series
Accession:
GSE90059
ID:
200090059
17.

Effect of the Regnase-1/3-Nfkbiz axis on the epigenomic profile in mouse Flt3–CD48–Lin–Sca1+Kit+ (LSK) cells

(Submitter supplied) Regulation of lineage biases in hematopoietic stem and progenitor cells (HSPCs) is pivotal for balanced hematopoietic output. However, little is known about the mechanism behind lineage choice in HSPCs. Here, we show that mRNA decay factors Regnase-1 (Zc3h12a) and Regnase-3 (Zc3h12c) are critical for induction of myeloid lineage priming, restricting lymphoid differentiation in HSPCs. Regnase-1- and Regnase-3-mediated control of mRNA encoding Nfkbiz, a transcriptional and epigenetic regulator, was essential for balancing lymphoid/myeloid lineage output in HSPCs in vivo. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24247
4 Samples
Download data: BED, CSV, H5, TBI, TSV
Series
Accession:
GSE229065
ID:
200229065
18.

Effect of loss of Regnase-1 and Regnase-3 on the transcriptional profile in mouse Lin–Sca1+Kit+ (LSK) cells

(Submitter supplied) Regulation of lineage biases in hematopoietic stem and progenitor cells (HSPCs) is pivotal for balanced hematopoietic output. However, little is known about the mechanism behind lineage choice in HSPCs. Here, we show that mRNA decay factors Regnase-1 (Zc3h12a) and Regnase-3 (Zc3h12c) are critical for induction of myeloid lineage priming, restricting lymphoid differentiation in HSPCs. Regnase-1- and Regnase-3-mediated control of mRNA encoding Nfkbiz, a transcriptional and epigenetic regulator, was essential for balancing lymphoid/myeloid lineage output in HSPCs in vivo. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
16 Samples
Download data: TXT
Series
Accession:
GSE228923
ID:
200228923
19.

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
20.

Uncovering perturbations in human hematopoiesis associated with healthy aging and myeloid malignancies at single cell resolution

(Submitter supplied) Early hematopoiesis is a continuous process in which hematopoietic stem and progenitor cells (HSPCs) gradually differentiate and are primed toward specific lineages. Aging and myeloid malignant transformation are characterized by changes in the composition and regulation of HSPCs. In this study, we evaluated HSPCs obtained from young and elderly healthy donors using single-cell RNA sequencing to identify the transcriptional and regulatory perturbations associated with healthy aging at single cell resolution. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
12 Samples
Download data: H5, TXT
Series
Accession:
GSE180298
ID:
200180298
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