Project description:Fanconi anemia (FA) is a rare genetic disorder characterized by genomic instability, developmental defects and bone marrow failure. Homeostasis of hematopoietic stem cells (HSCs) in the bone marrow partly relies on their direct or indirect interactions with the mesenchymal stem/stromal cells (MSCs). miRNAs can play a critical role during these interactions. There is no study available so far addressing the miRNA profile of bone marrow (BM-) MSCs in the FA disease state. Non-coding RNA expression profiling was performed in BM-MSCs obtained from Donors, as well as FA patients before bone marrow transplantation (preBMT) using GeneChip miRNA 2.0 array. Quality Control (QC) was performed via Normalized Unscaled Standard Errors (NUSE) and Relative Log Expression (RLE) before further analysis.
Project description:Fanconi anemia (FA) is a rare genetic disorder characterized by genomic instability, developmental defects and bone marrow failure. Homeostasis of hematopoietic stem cells (HSCs) in the bone marrow partly relies on their direct or indirect interactions with the mesenchymal stem/stromal cells (MSCs). miRNAs can play a critical role during these interactions. There is no study available so far addressing the miRNA profile of bone marrow (BM-) MSCs in FA disease state. Non-coding RNA expression profiling was performed in BM-MSCs obtained from Donors (siblings of FA patients) as well as FA patients before (preBMT) and after bone marrow transplant (postBMT) using GeneChip miRNA 2.0 Array. Quality Control (QC) was performed via Normalized Unscaled Standard Errors (NUSE) and Relative Log Expression (RLE) before further analysis.
Project description:Fanconi anemia (FA) is a rare genetic disorder characterized by genomic instability, developmental defects and bone marrow failure. Homeostasis of hematopoietic stem cells (HSCs) in the bone marrow partly relies on their direct or indirect interactions with the mesenchymal stem/stromal cells (MSCs). miRNAs can play a critical role during these interactions. There is no study available so far addressing the miRNA profile of bone marrow (BM-) MSCs in the FA disease state. Non-coding RNA expression profiling was performed in BM-MSCs obtained from Donors (siblings of FA patients), as well as FA patients before bone marrow transplantation (preBMT) using GeneChip miRNA 2.0 Array. Quality Control (QC) was performed via Normalized Unscaled Standard Errors (NUSE) and Relative Log Expression (RLE) before further analysis.
Project description:This experiment investigates differences in miRNA expression between different populations of human mesenchymal stem cells (MSCs), which are a potential treatment for multiple sclerosis (MS). Previously it has been reported that MSCs derived from human olfactory mucosa (OM-MSCs) may be a better candidate for the treatment of MS than MSCs derived from bone marrow (BM-MSCs), due to a better ability to promote CNS myelination in vitro. In this study, miRNA profiling of OM-MSCs and BM-MSCs was undertaken to investigate the differences between these two cell types in relation to their prospective therapeutic use.
Project description:Spatiotemporal analyses using brain slice culture and brain clearing demonstrated that human induced pluripotent stem cell-derived neural stem cells (iPSC-NSCs) possess higher tumor-trophic migratory capacity than fetal NSCs, adipose tissue and bone marrow derived mesenchymal stem cells (MSCs). NSCs expressing prodrug converting enzyme fusion gene exhibited strong anti-tumor effect for glioma stem cell in vivo models. The present research concepts may become a platform of cell-based gene therapy for glioma.
Project description:Mesenchymal stromal cells (MSCs) derived from bone marrow (BM) have stronger potential for endochondral ossification compared to white adipose tissue (WAT)-MSCs, umbilical cord (UC)-MSCs, and skin fibroblasts (FB). We assessed uniquely accessible enhancers facilitating bone regeneration potential.
Project description:The bone tissue undergoes constant turnover, which relies on skeletal stem cells (SSCs) and/or mesenchymal stem cells (MSCs) and their niches. SSCs/MSCs and their perivascular niche within the bone marrow are well characterized in long bones. As for cranial bones, besides bone marrow, the suture mesenchyme has been identified as a unique niche for SSCs/MSCs of craniofacial bones. However, a comprehensive study of the two different cranial stem cell niches at single-cell resolution is still lacking. In addition, during the progression of aging, age-associated changes in cranial stem cell niches and resident cells remain uncovered. In this study, we investigated age-related changes in cranial stem cell niches via single-cell RNA sequencing (scRNA-seq).
Project description:Human bone marrow mesenchymal stem cells (hBM-MSCs) hold promise for treating diseases for which currently no therapeutic options exist. High quantities of MSCs are needed, requiring extensive cell expansion in long-term culture. However, the fundamental biological properties of MSCs can be altered by culture conditions. In this study, hBM-MSCs were isolated from residual human bone marrow (hBM) material and expanded to clinically relevant numbers at passage 3-4. The cells had normal morphology, proliferation rate, immunophenotype and karyotype. Despite the chromosomal stability, after additional three passages (P6-P7) hBM-MSCs entered senescence state, confirmed by SA-β-galactosidase staining and paralleling the slower proliferation, altered morphology and imunophenotype. qRT-PCR array profiling revealed 33 out of 420 miRNAs significantly (p <0.05) differentially (â¥2 fold) expressed in the late passage cells compared to the early passage cells. qPCR miRNA expression profiling. hBM-MSCs from 3 (1 male and 2 females) adult donors (age 30±7.21 years) were used. Each sample was tested in technical duplicate. 6 samples of early passage (P3-P4) hBM-MSCs were grouped to CONTROL group and 6 samples of late passage (P6-P7) hBM-MSCs were grouped to TEST group. The data were analysed using web-based miScript miRNA PCR Array Data Analysis software (Qiagen)
