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Next generation sequencing quantitatively analyzes transcriptomes of bone marrow derived mesenchymal stromal cells from Wild Type or prkcb-/- mice

ABSTRACT: Next generation sequencing quantitatively analyzes transcriptomes of bone marrow derived mesenchymal stromal cells from Wild Type or prkcb-/- mice

PROVIDER: PRJNA490365 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR7819680.fastq.gz	Fastqsanger.gz
	SRR7819681.fastq.gz	Fastqsanger.gz
	SRR7819682.fastq.gz	Fastqsanger.gz
	SRR7819683.fastq.gz	Fastqsanger.gz
	SRR7819684.fastq.gz	Fastqsanger.gz

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Next generation sequencing quantitatively analyzes transcriptomes of bone marrow derived mesenchymal stromal cells from Wild Type or prkcb-/- mice

Project description:RNA-seq profiles of Wild Type or Prkcb-/- mouse bone marrow derived mesenchymal stromal cells (BMSCs), either monocultured or co-cultured with primary CLL cells.

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Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells co-culture with Wild Type or prkcb-/- bone marrow mesenchymal stromal cells

Project description:Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells co-culture with Wild Type or prkcb-/- bone marrow mesenchymal stromal cells

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Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells co-culture with Wild Type or prkcb-/- bone marrow mesenchymal stromal cells

Project description:RNA-seq profiles of patient-derived primary CLL cells when co-cultured with bone marrow derived mesenchymal stromal cells (BMSC) from either wildtype or Prkcb-/- mice, in normal condition or under venetoclax (ABT-199) treatment.

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Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells tranfected with non-specific control (NSC) or ZAP-70 siRNA

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Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells tranfected with non-specific control (NSC) or ZAP-70 siRNA (-anti-IgM dataset)

Project description:Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells tranfected with non-specific control (NSC) or ZAP-70 siRNA (-anti-IgM dataset)

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Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells tranfected with non-specific control (NSC) or ZAP-70 siRNA (+anti-IgM dataset)

Project description:Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells tranfected with non-specific control (NSC) or ZAP-70 siRNA (+anti-IgM dataset)

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Next generation sequencing quantitatively analyzes transcriptomes of primary CLL cells tranfected with non-specific control (NSC) or ZAP-70 siRNA

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-04-19 | GSE149022 | GEO

Mesenchymal stromal cell (MSC) Metabolite MS study

Project description:Metabolomics and lipidomics workflows were used to analyze Mesenchymal stromal cell (MSC) metabolites. Metabolite abundances were used to model MSC potency results in IDO and T-cell proliferation assays.

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Secretome analysis of human bone marrow derived mesenchymal stromal cells

Project description:As an essential cellular component of the bone marrow (BM) microenvironment mesenchymal stromal cells (MSC) play a pivotal role for the physiological regulation of hematopoiesis, in particular through the secretion of cytokines and chemokines. Mass spectrometry (MS) facilitates the identification and quantification of a large amount of secreted proteins (secretome), but can be hampered by the false-positive identification of contaminating proteins released from dead cells or derived from cell medium. To reduce the likelihood of contaminations we applied an approach combining secretome and proteome analysis to characterize the physiological secretome of BM derived human MSC. Our analysis revealed a secretome consisting of 315 proteins. Pathway analyses of these proteins revealed a high abundance of proteins related to cell growth and/or maintenance, signal transduction and cell communication thereby representing key biological functions of BM derived MSC on protein level. Within the MSC secretome we identified several cytokines and growth factors such as VEGFC, TGF-β1, TGF-β2 and GDF6 which are known to be involved in the physiological regulation of hematopoiesis. By comparing the peptide patterns of secretomes and cell lysates 17 proteins were identified as candidates for proteolytic processing. Taken together, our combined MS work-flow reduced the likelihood of contaminations and enabled us to carve out a specific overview about the composition of the secretome from human BM derived MSC. This methodological approach and the specific secretome signature of BM derived MSC may serve as basis foffuture comparative analyses of the interplay of MSC and HSPC in patients with hematological malignancies.

2019-02-12 | PXD011643 | Pride

Next Generation Sequencing Analyzes Transcriptome after TMEM126A overexpression and knockdown

Project description:Next Generation Sequencing Analyzes Transcriptome after TMEM126A overexpression and knockdown

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