Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of H1 and H1 after SNAI1 deletion at Day2 after human early hematopoietic differentiation .

ABSTRACT: Purpose: The goals of this study are to verify SNAI1 deletion is suffice to downregulate other MAGs during human early hematopoietic differentiation through comparing the transcriptome profilings in WT samples and SNAI1-knockout samples collected at day 2 after hematopoietic differentiation. Methods: mRNA profiles of hESC samples collected at day 2 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions: Knockout of SNAI1 indeed suppresses the expression of other MAGs

ORGANISM(S): Homo sapiens

PROVIDER: GSE134911 | GEO | 2019/07/26

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of H1 derived CD31+ cells and H1 after HAND1-overexpression derived CD31+ cells at Day8 after human early hematopoietic differentiation .

Project description:Purpose: The goals of this study are to verify HAND1 overexpression is suffice to upregulate other MAGs in H1 cells during human early hematopoietic differentiation through comparing the transcriptome profilings in WT samples and HAND1-overexpressed samples collected at day 8 after hematopoietic differentiation. Methods: mRNA profiles of hESC samples collected at day 8 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions: HAND1 overexpression is suffice to upregulate other MAGs during early hematopoietic differentiation of H1 cells.

2019-07-26 | GSE134906 | GEO

RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of H1 derived cells with or without IWP2 treatment at Day2 after human early hematopoietic differentiation .

Project description:Purpose: The goals of this study are to verify the inhibition of Wnt signaling is suffice to surpress the expression of MAGs in H1 cells during human early hematopoietic differentiation through comparing the transcriptome profilings in WT samples and samples with IWP2 treatment collected at day 2 after hematopoietic differentiation. Methods: mRNA profiles of hESC samples collected at day 2 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions: Inhibiting Wnt signaling is suffice to significantly surpressed the expression of MAGs.

2019-07-26 | GSE134910 | GEO

RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of H1 derived cells with or without SB431542 treatment at Day8 after human early hematopoietic differentiation .

Project description:Purpose: The goals of this study are to verify the inhibition of TGFb signaling is suffice to surpress the expression of MAGs in H1 cells during human early hematopoietic differentiation through comparing the transcriptome profilings in WT samples and samples with SB431542 treatment collected at day 8 after hematopoietic differentiation. Methods: mRNA profiles of hESC samples collected at day 8 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions: Inhibiting TGFb signaling is suffice to significantly surpressed the expression of MAGs.

2019-07-26 | GSE134908 | GEO

RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of H1 derived cells and H1 after MSX2-knockout derived cells at Day8 after human early hematopoietic differentiation .

Project description:Purpose: The goals of this study are to verify MSX2 knock is suffice to promote hematopoiesis during human early hematopoietic differentiation through comparing the transcriptome profilings in WT samples and MSX2-knockout samples collected at day 8 after hematopoietic differentiation. Method: mRNA profiles of hESC samples collected at day 8 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions: MSX2 knock is suffice to promote hematopoiesis during early hematopoietic differentiation of H1 cells.

2019-08-01 | GSE135171 | GEO

RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of H1, H1 derived APLNR+ cells, CD31+CD34+ cells and CD43+ cells during human early hematopoietic differentiation

Project description:Purpose: The goals of this study are to verify the dynamic changes of MAGs in H1 derived different population of cells during human early hematopoietic differentian. Methods: mRNA profiles of hESC samples collected from day 0 to day 8 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions:MAGs showed convincingly dynamic expression during early hematopoietic differentiation of H1 cells

2019-07-26 | GSE134907 | GEO

RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of BC1, BC1 derived APLNR+ cells, CD31+CD34+ cells and CD43+ cells during human early hematopoietic differentiation

Project description:Purpose: The goals of this study are to verify the dynamic changes of MAGs in BC1 derived different population of cells during human early hematopoietic differentian. Methods: mRNA profiles of hESC samples collected from day 0 to day 8 after hematopoiesis differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions:MAGs showed convincingly dynamic expression during early hematopoietic differentiation of BC1 cells

2019-07-26 | GSE134905 | GEO

RNA-seq data of si-Snai1, si-Snai2, si-Snai1/2 and si-Scrambled treated mouse primary myoblasts

Project description:In skeletal myogenesis, the transcription factor MyoD, activates distinct transcriptional programs in progenitors compared to terminally differentiated cells. Using ChIP-seq and gene expression analyses, we show that in primary myoblasts, Snai1/2-HDAC1/2 repressive complex bind and exclude MyoD from its targets. Notably, Snail binds E-box motifs that are G/C-rich in their central dinucleotides, and such sites are almost exclusively associated with genes expressed during differentiation. By contrast, Snai1/2 does not bind the A/T-rich E-boxes associated with MyoD targets in myoblasts. Thus, Snai1/2-HDAC1/2 prevents MyoD occupancy on differentiation-specific regulatory elements and the change from Snail1/2- to MyoD-binding often results in enhancer switching during differentiation. Furthermore, we show that a regulatory network involving Myogenic Regulatory Factors (MRFs), Snail/2, miR-30a and miR-206 acts as a molecular switch that controls entry into myogenic differentiation. Together, these results reveal a regulatory paradigm that directs distinct gene expression programs in progenitors versus terminally differentiated cells. In vivo depletion of transcription factor with siRNA followed by whole transcriptome analysis (RNA-seq) to identify target genes.

2012-07-04 | E-GEOD-38236 | biostudies-arrayexpress

Loss of SNAI1 induces cellular plasticity in invasive triple-negative breast cancer cells

Project description:To investigate the effect of SNAI1 Knockout on development and growth of triple-negative human breast cancer cells The transcription factor SNAI1 mediates epithelial-mesenchymal transition, fibroblast activation and controls inter-tissue migration. High SNAI1 expression characterizes metastatic triple-negative breast carcinomas, and its knockout by CRISPR/Cas9 uncovered establishment of an epithelio-mesenchymal phenotype accompanied by reduced signaling by the cytokine TGF-β. The SNAI1 knockout cells exhibited plasticity in differentiation, drifting towards the luminal phenotype, gained stemness potential and could differentiate into acinar mammospheres in 3D culture. Loss of SNAI1 derepressed the transcription factor FOXA1, a pioneering factor of mammary luminal progenitors. FOXA1 induced a specific gene program, including the androgen receptor (AR). Inhibiting AR via a specific antagonist regenerated the basal phenotype and blocked acinar differentiation. Thus, loss of SNAI1 in the context of triple-negative breast carcinoma cells promotes an intermediary luminal progenitor phenotype that gains differentiation plasticity, based on the dual transcriptional action of FOXA1 and AR. This function of SNAI1 provides means to separate cell invasiveness from progenitor cell de-differentiation as independent cellular programs.

2022-10-01 | GSE210870 | GEO

RNA Sequencing Facilitates Quantitative Analysis of Wild Type and MEIS2 deleted H1 drived cells at day4 of hematopoietic differentiation.

Project description:Purpose: The goals of this study are to investigate the molecular mechanism by which MEIS2 controls HEP specification and EHT through compareing the mRNA profiling of Wild Type and MEIS2 deleted H1 drived cells at day4 of hematopoietic differentiation. Methods: mRNA profiles of Wild Type and MEIS2 deleted H1 drived cells at day4 of hematopoietic differentiation were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions:a large number of genes were down-regulated in MEIS2-deleted H1 hESCs when compared with the wild-type cells. Among those, a number of mammalian hematopoiesis-associated genes such as TAL1 ,GFI and GATA2 were significantly down-regulated.

2018-06-20 | GSE115979 | GEO

RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of human ESCs early hematopoietic differentiation

Project description:Purpose:hESCs hematopoietic differentiation recapitulates embryonic hematopoiesis in vivo and occurs through three main stages: mesoderm commitment, hemogenic endothelium (HE) formation and hematopoietic specification. The goal of this study are to increase the understanding of hESCs hematopoietic differentiation process and its regulatory mechanism. Methods: hESC samples were collected through flow cytometry sorting.mRNA profiles of this samples were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions: Compared with other three populations, 57 cell surface markers were highly enriched in CD31+CD34+ endothelial cells.

2018-12-19 | GSE124062 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data