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Morphological profiling of chondrogencially-induced multipotent stromal cell aggregates reveals emergent morphological phenotypes predictive of functional capacity

ABSTRACT: Morphological profiling of chondrogencially-induced multipotent stromal cell aggregates reveals emergent morphological phenotypes predictive of functional capacity

PROVIDER: PRJNA434464 | ENA |

REPOSITORIES: ENA

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Morphological profiling of chondrogencially-induced multipotent stromal cell aggregates reveals emergent morphological phenotypes predictive of functional capacity

Project description:Gene expression microarrays were used to determine gene expression differences between mesenchymal stem cells (MSC) from different donors and passage for their potential to undergo chondrogenic differentiation.

2018-08-01 | GSE110755 | GEO

Functional Profiling of Chondrogenically Induced Multipotent Stromal Cell Aggregates Reveals Transcriptomic and Emergent Morphological Phenotypes Predictive of Differentiation Capacity.

Project description:Multipotent stromal cells (MSCs) are an attractive cell source for bone and cartilage tissue repair strategies. However, the functional heterogeneity of MSCs derived from different donors and manufacturing conditions has limited clinical translation, emphasizing the need for improved methods to assess MSC chondrogenic capacity. We used functionally relevant morphological profiling to dynamically monitor emergent morphological phenotypes of chondrogenically induced MSC aggregates to identify morphological features indicative of MSC chondrogenesis. Toward this goal, we characterized the morphology of chondrogenically stimulated MSC aggregates from eight different human cell-lines at multiple passages and demonstrated that MSC aggregates exhibited unique morphological dynamics that were both cell line- and passage-dependent. This variation in 3D morphology was shown to be informative of long-term MSC chondrogenesis based on multiple quantitative functional assays. We found that the specific morphological features of spheroid area, radius, minimum feret diameter, and minor axis length to be strongly correlated with MSC chondrogenic synthetic activity but not gene expression as early as day 4 in 3D culture. Our high-throughput, nondestructive approach could potentially serve as a tool to identify MSC lines with desired chondrogenic capacity toward improving manufacturing strategies for MSC-based cellular products for cartilage tissue repair. Stem Cells Translational Medicine 2018;1-12.

| S-EPMC6127231 | biostudies-literature

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Identification of Predictive Gene Markers for Multipotent Stromal Cell Proliferation

Project description:This SuperSeries is composed of the SubSeries listed below. Identification of genes that can predict the proliferation potential of multipotent stromal cells. Gene expression study by microarray and confirmation with RT-qPCR. Gene expression by microarray includes the 54 arrays originally present in GSE56362 and 9 additional arrays added to GSE56362 on October 23, 2015. These additional microarray datasets were completed in a randomized block design in combination with the microarray data originally present in GSE56362.

2015-10-23 | E-GEOD-74303 | biostudies-arrayexpress

Soil Aggregates

Project description:Soil Aggregates 16S rRNA and ITS Amplicon Sequences

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Emergent gene expression responses to drug combinations predict higher-order drug interactions

Project description:Effective design of combination therapies requires understanding the changes in cell physiology resulting from drug interactions. Here, we show that the genome-wide transcriptional response to combinations of two drugs, measured at a rigorously controlled growth rate, can predict higher-order antagonism with a third drug in Saccharomyces cerevisiae. Using isogrowth profiling, over 90% of the variation in cellular response can be decomposed into three principal components (PCs) that have clear biological interpretations. We demonstrate that the third PC captures emergent transcriptional programs that are dependent on both drugs and can predict antagonism with a third drug targeting the emergent pathway. We further show that emergent gene expression patterns are most pronounced at a drug ratio where the drug interaction is strongest, providing a guideline for future measurements. Our results provide a readily applicable recipe for uncovering emergent responses in other systems and for higher-order drug combinations.

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Identification of Predictive Gene Markers for Multipotent Stromal Cell Proliferation

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MicroRNA expression in CD34+-EC aggregates

Project description:To understand the the effect of microparticles conjugated with vascular endothelial growth factor (VEGF) on human endothelial cells derived from human umbilical cord blood (UCB) CD34+ hematopoietic stem cells, we have employed microRNA microarray profiling. The microparticles used in this study were purchased from Invitrogen (Dynal magnetic microparticles coated with streptavidin, 4.5 micron in size) and modified in our lab. Cell suspensions were mixed with blank microparticles (without VEGF), soluble VEGF or VEGF-conjugated microparticles and seeded as hanging drops to prepare endothelial cell aggregates. Cell aggregates without any treatments were used as control. After 2 h or 8 h, the cell aggregates were collected and miRNA expression profiles were detected.

2017-07-07 | GSE75899 | GEO

Transcriptome profile in the human synovial MSC-aggregates

Project description:One of strategies to regenerate cartilage defect is transplantation of mesenchymal stem cells (MSCs). Improvements of therapeutic potential of MSCs are needed to achieve successful cartilage regeneration by transplantation of a limited number of cells. Aggregated culture is a popular method in ES and iPS cells to maintain or enhance their potentials. Here we investigated gene expression profile of aggregated MSCs. 621 genes were up-regulated and 409 genes were down-regulated more than 5-fold in MSC-aggregates compared with the number in MSCs in a monolayer culture. The most up-regulated gene was BMP2, which is one of the genes involved in chondrogenesis. Anti-inflammatory genes were also up-regulated in MSC-aggregates. The microarray data for selected genes were confirmed by real-time PCR. Human synovial MSCs was isolated from synovium of 3 distinct donors. The gene expression profile of MSC-aggregates cultured in hanging drop for 3days was compared with that of MSCs in a monolayer culture.

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