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

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

PROVIDER: PRJNA510022 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8316912_1.fastq.gz	Fastqsanger.gz
	SRR8316912_2.fastq.gz	Fastqsanger.gz
	SRR8316913_1.fastq.gz	Fastqsanger.gz
	SRR8316913_2.fastq.gz	Fastqsanger.gz
	SRR8316914_1.fastq.gz	Fastqsanger.gz

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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.

2018-12-15 | GSE123840 | 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.

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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:RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of BC1, BC1 derived APLNR+ cells, CD31+CD34+ cells and CD43+ cells during 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:RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of H1, H1 derived APLNR+ cells, CD31+CD34+ cells and CD43+ cells during human early hematopoietic differentiation

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Lin-, CD38-, CD34+ Hematopoietic Stem Cells.

Project description:Lin-, CD38-, CD34+ hematopoietic stem cells. Keywords: other

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Transcriptome analysis of synovial osteoprogenitor populations in mice with antigen-induced arthritis and non-immunized mice

Project description:The aim of this experiment was to analyze differences in gene expression between potential osteoprogenitor populations in synovial compartment of non-immunized mice and mice with antigen-induced arthritis (AIA). We analyzed transcriptome of TER119–CD31–CD45–CD51+CD200+CD105– cells from nonimmunized mice, TER119–CD31–CD45–CD51+CD200+CD105– cells from mice with arthritis, and TER119–CD31–CD45–CD51+CD200–CD105+ from mice with arthritis. Comparison between nonimmunized and arthritic mice served to determine changes in TER119–CD31–CD45–CD51+CD200+CD105–population induced by arthritis. Comparison of TER119–CD31–CD45–CD51+CD200+CD105– and TER119–CD31–CD45–CD51+CD200–CD105+ from mice with arthritis aimed to define transcriptomic differences between those two populations.

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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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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

Transcriptome Study of CD34+ hematopoietic progenitor from patients reached of Primary Myelofibrosis

Project description:An increased number of circulating CD34+ hematopoietic progenitors (HP) and a prominent amplification of dystrophic megakaryocytes (MK) are observed in PMF patients. As transcriptome data from CD34+ hematopoietic progenitors showed modulations of FLT3 and MAP kinase expression independently of the JAK2V617F mutation status

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