Project description:The goal of this project is to obtain the expression pattern of miRNAs in wild type kidneys at various ages during development. The data is obtained from mouse kidneys of ages P0, P7, P14, P21 and P35. The analysis compares the expression levels of miRNAs between the age groups.
Project description:Here, we performed single cell RNA sequencing (scRNA-seq) of human fetal ileum tissue samples from 3 individual biological specimens ages 11.4, 14.4, and 18.9 weeks post conception. The data set is composed of over 16,000 cells from diverse intestinal lineages.
Project description:We performed single-cell transcriptomics analyses (10x Chromium 3' v3.1) using dissociated total kidney cells to identify the difference in gene expression patterns and signaling pathways between male and female mouse kidneys after selective induction of ferroptotic stress in renal tubular epithelial cells.
Project description:Unbiased single-cell RNA-sequencing in freshly-dissociated cells from healthy and stenotic mouse kidneys identified stenotic-kidneys epithelial cells undergoing both mesenchymal transition and senescence.
Project description:Purpose: The 10x Genomics Visium platform allows us to define the spatial topography of gene expression and provides detailed molecular maps that overcome limitations associated with sn/scRNA-seq and microscopy-based spatial transcriptomics methods. The goals of this study are to compare and identify unique transcriptome profiling (RNA-seq) signature between unfavorable and favorable Wilms Tumors and against human fetal kidney. Methods: Human fetal kidney and Wilms tumor spatial topography of gene expression were generated using the 10X Visium platform Results: Using an optimized data analysis workflow, we mapped the reads to the hg38 genome build and grouped the spots into 9 clusters based on gene expression profiles. Conclusion: Our study represents the first implement of Visium technology in human fetal kidney and Wilms Tumor tissue, providing a number of important functional insights about the spatial and molecular definitions of cell populations across human fetal kidney and different subtypes of Wilms Tumor through analyzing gene expression within the intact spatial organization of the human samples.
Project description:CD24, or heat stable antigen, is a cell surface sialoglycoprotein expressed on immature cells that disappears after the cells have reached their final differentiation stage. CD24 may be important in human embryonic kidney epithelial cell differentiation. In mice, CD24 expression is up-regulated in the early metanephros and localized to developing epithelial structures but the role and expression of CD24 in the developing human kidney has not been well described. In normal human fetal kidneys from 8 to 38 weeks gestation, CD24 expression was up-regulated and restricted to the early epithelial aggregates of the metanephric blastema and to the committed proliferating tubular epithelia of the S-shape nephron; however individual CD24+ cells were identified in the interstitium of later gestation and postnatal kidneys. In freshly isolated cells, FACS analysis demonstrated distinct CD24+ and CD24+133+ cell populations, constituting up to 16% and 14% respectively of the total cells analyzed. Isolated and expanded CD24+ clones displayed features of an epithelial progenitor cell line. Early fetal urinary tract obstruction resulted in an upregulation of CD24 expression, both in developing epithelial structures of early gestation kidneys and in the cells of the injured tubular epithelium of the later gestation kidneys. These results highlight the cell specific expression of CD24 in the developing human kidney and dysregulation in fetal urinary tract obstruction. We used microarrays to define the differences in global gene expression between obstructed and normal human fetal kidneys. We analyzed RNA extracted from human fetal kidneys between the gestational ages 8 and 18 weeks gestation. This dataset is part of the TransQST collection.
Project description:We performed the scRNA-seq analysis of 2 primary osteosarcoma tissues ,2 osteosarcoma lymphoid tissues, 4 adjacent tissues of osteosarcoma based on the 10X Genomics platform.
