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MiRNA expression profile in human CD34+/CD105- cells derived from the renal artery subsequent to long warm ischemia compared short warm ischemia

ABSTRACT: MiRNA regulate the maintenance, differentiation and function of stem cells and progenitor cells. miRNA expression of progenitor cells located in the adventital layer of arterial vessels has not been characterized in either animal or human models. Further it is unknown if local arterial miRNA expression profiles change after injury of end organs supplied blood by these arterial conduits. CD34+/CD105- cells were extracted and analyzed for changes in miRNA expression after kidney specific ischemic injury.

ORGANISM(S): Homo sapiens

PROVIDER: GSE68366 | GEO | 2015/04/29

SECONDARY ACCESSION(S): PRJNA282526

REPOSITORIES: GEO

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MiRNA expression profile in human CD34+/CD105- cells derived from the renal artery subsequent to long warm ischemia compared short warm ischemia

Project description:MiRNA regulate the maintenance, differentiation and function of stem cells and progenitor cells. miRNA expression of progenitor cells located in the adventital layer of arterial vessels has not been characterized in either animal or human models. Further it is unknown if local arterial miRNA expression profiles change after injury of end organs supplied blood by these arterial conduits. CD34+/CD105- cells were extracted and analyzed for changes in miRNA expression after kidney specific ischemic injury. CD34+/CD105- cells were isolated from renal artery after short warm ischemic time in living donor kidney explants and long warm ischemic time following radical nephrectomy for renal cell cancer

2015-04-29 | E-GEOD-68366 | biostudies-arrayexpress

MiRNA expression profile in mouse CD34+/CD105- cells derived from the renal artery subsequent to renal ischemia/reperfusion injury

Project description:MiRNA regulate the maintenance, differentiation and function of stem cells and progenitor cells. miRNA expression of progenitor cells located in the adventital layer of arterial vessels has not been characterized in either animal or human models. Further it is unknown if local arterial miRNA expression profiles change after injury of end organs supplied blood by these arterial conduits. CD34+/CD105- cells were extracted and analyzed for changes in miRNA expression after kidney specific ischemic injury. CD34+/CD105- cells were isolated from mouse renal artery after microvascular clamping of renal arteries bilaterally

2015-04-29 | E-GEOD-68367 | biostudies-arrayexpress

MiRNA expression profile in mouse CD34+/CD105- cells derived from the renal artery subsequent to renal ischemia/reperfusion injury

2015-04-29 | GSE68367 | GEO

Transcriptomic analysis of primary CD105+CD90+CD13- and CD105+CD90+CD13+ mesenchymal cells in human lung

Project description:Primary mesenchymal CD105+CD90+CD13- and CD105+CD90+CD13+ populations from human lung were isolated and characterized using bulk population mRNA sequencing to understand differences between these populations.

2021-12-24 | GSE173738 | GEO

Transcriptomic analysis of primary CD105+CD90+CD13- and CD105+CD90+CD13+ mesenchymal cells in human lung

Project description:Transcriptomic analysis of primary CD105+CD90+CD13- and CD105+CD90+CD13+ mesenchymal cells in human lung

| PRJNA726935 | ENA

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

Murine Kidney cells: Control versus Ischemia reperfusion injury

Project description:miRNA profiling of kidney tissue from C57BL/6 mice that received a 30 minute ischemic injury compared with control kidney tissue from mice that received sham operation only. Two condition experiment - sham and ishemic injury (IRI). Eight time points were measured using pooled samples from three mice.

2011-07-31 | E-GEOD-29495 | biostudies-arrayexpress

No safe renal warm ischemia time-The molecular network characteristics and pathological features of mild to severe ischemia reperfusion kidney injury

Project description:Purpose: we performed comparative RNA-seq analyses to identify molecular network characteristics of kidney injury at different ischemia times Methods: Unilateral clamping of the left renal pedicle plus contralateral nephrectomy was performed. Briefly, mice were anesthetized, right kidney was excised. The left kidney was clamped for indicated minutes (0min for sham-24h group, 16min for uIRIx16min-24h group, 18minfor uIRIx18min-24h group, 20min for uIRIx20min-24h group, 22min for uIRIx22min-24h group, 24min for uIRIx24min-24h group, 26min for uIRIx26min-24h group, 28min for uIRIx28min-24h group, 30min for uIRIx30min-24h group). Mice were placed on 37°C heating platform while operation, ischemia and before awakening. At 24h after ischemia, mice were anesthetized and blood was taken to detect creatinine, kidney was harvest for PAS staining and mRNA seq. Results: After sequence, the clean reads rate of all samples were ≥98%.The quality of the assembled transcriptome is good enough for functional annotation and further analysis. Conclusions: We performed RNA-sequencing (RNA-Seq) analyses to identify molecular network characteristics of kidney injury at different ischemia time.

2022-01-04 | GSE192883 | GEO

Comprehensive analysis of human proteomic erythroid progenitors

Project description:CD34-positive cells from peripheral blood were culture for 5 days in erythroid differentiating medium. Four progenitor stages were sorted by FACS using the established cell surface markers CD34 and CD36 with CD117, CD71, and CD105 (Yan H, Am J Hematol, 2021). A comprehensive analysis of the proteome of these four erythroid progenitor stages was done in quadruplicate using a label free proteomic approach.

2023-10-30 | PXD042615 | Pride

Molecular pathways of early CD105-positive erythroid cells as compared to CD34-positive common precursor cells by high-sensitive flow cytometric cell sorting and gene expression profiling

Project description:Gene network of erythropoietic cells Special attention has recently been drawn to the molecular network of different genes that are responsible for the development of erythroid cells. The aim of our study was to establish in detail the phenotype of early erythroid cells and to compare the gene expression profile of separated early erythroid precursors with the CD34-positive compartment. Multicolor flow cytometric analyses of human bone marrow mononuclear cell fractions (n=20) defined three distinct early erythroid stages. Sorted populations were analyzed for their gene expression profile using Affymetrix array technology. In 4,524 genes, a differential regulation was found in CD105-positive erythroid cells as compared to the CD34 common progenitor compartment (2,362 upregulated genes). A highly significant difference was observed in the expression level of genes with known functions, e.g. transcription factors, heme synthesis, iron and mitochondrial metabolism and transforming growth factor-ß signaling. A comparison with recently published data showed over 800* genes which as yet have not been reported to be upregulated in the early erythroid lineage as compared to the CD34 compartment . The gene expression level within distinct pathways can be illustrated directly by applying the Ingenuity software program. The results of the gene expression analyses can be seen at http://www.ncbi.nlm.nih.gov/geo/info/submission. We analyzed bone marrow CD14 positive, CD105-positive erythroid cells and CD34-positive common precursor cells from healthy subjects using the Affymetrix HG-U133_Plus_2 platform. Array data was processed by Affymetrix Array Computational Tool. No techinical replicates were performed.

2013-02-16 | E-GEOD-40893 | biostudies-arrayexpress

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