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Single Cell RNA Sequencing Facilitates Quantitative Analysis of CD31+ endothelial cells at day4 of hESC hematopoietic differentiation

ABSTRACT: Single Cell RNA Sequencing Facilitates Quantitative Analysis of CD31+ endothelial cells at day4 of hESC hematopoietic differentiation

PROVIDER: PRJNA511860 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8369969_1.fastq.gz	Fastqsanger.gz
	SRR8369969_2.fastq.gz	Fastqsanger.gz

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Single Cell RNA Sequencing Facilitates Quantitative Analysis of CD31+ endothelial cells at day4 of hESC hematopoietic differentiation

Project description:Purpose: The goals of this study are to investigate the cell fate desicion and molecular mechanism in CD31+ endothelial cells at the day4 of hematopoietic differentiation. Methods: mRNA profiles of Single CD31+ endothelial cell at day4 of hESC hematopoietic differentiation, were generated by deep sequencing using Illumina GAIIx. The sequence reads that passed quality filters were analyzed with CellRanger pipeline to align reads, generate feature-barcode matrices. Conclusions: We found that the fate of HE and Non-HE has been decided and separated at the emergence of endothelial precursor population during hPSC hematopoiesis.

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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.

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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.

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Project description: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 .

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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

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Whole-transcriptome analysis of endothelial-to-hematopoietic stem cell transition

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Transcriptomes of CD31+CD34+HEPs with different expression of CD105 derived from human early hematopoietic differentiation by RNA Sequencing

Project description:Purpose: The goals of this study are to dessect the molecular signature of CD31+CD34+HEPs with different expression of CD105 ,and to explore the regulators such as signaling and transcription factors of CD105+ cells' generation. Methods: mRNA profiles of HEPs samples collected at day4 of hematopoietic differentiation were generated by deep sequencing using Illumina HiSeq 2000. 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: The CD31+CD34+CD105-HEPs possess hematopoietic potential whereas the CD31+CD34+CD105+HEPs possess endothelial potential. In addition, the generation of CD105+cells were regulated by TGFbeta signaling and ETS1.

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