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 human ESCs early hematopoietic differentiation

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

PROVIDER: PRJNA510639 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

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

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

Project description:Purpose: The goals of this study are to identify key transcription factors governing differentiation through comparing thel transcriptome profilings in hESC samples collected from day 0 to day 4 after hematopoietic differentiation. Conclusions: 68 transcriptional factors were found up-regulated gradually and steadily during early hematopoietic differentiation of H1 hESCs. After 4 days of differentiation, the mRNA levels of all these factors increased by more than 10 folds.

2018-01-31 | GSE92241 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Solanum lycopersicum bud and flower Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Solanum lycopersicum bud and flower Transcriptomes

2021-02-27 | GSE164382 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Human Pluripotent Stem Cell-Derived Hematopoietic Cell Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Human Pluripotent Stem Cell-Derived Hematopoietic Cell Transcriptomes

| PRJNA648952 | ENA

RNA Sequencing Facilitates Quantitative Analysis of LINC00901 overexpression and Control MIA PaCa-2 Cell Transcriptomes

Project description:RNA Sequencing Facilitates Quantitative Analysis of LINC00901 overexpression and Control MIA PaCa-2 Cell Transcriptomes

2022-05-01 | GSE169660 | GEO

RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of human early hematopoietic differentiation after LGR4 depletion and R-spondin2 treatment

Project description:RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of human early hematopoietic differentiation after LGR4 depletion and R-spondin2 treatment

| PRJNA486173 | ENA

RNA Sequencing Facilitates Quantitative Analysis of Schwann cells Transcriptomes

Project description:RNA Sequencing Facilitates Quantitative Analysis of Schwann cells Transcriptomes

| PRJNA598335 | ENA