Project description:Extracellular vesicles (EVs) from proliferating primary myogenic progenitor cells (MPCs) were incubated on myotubes for 12 and 24 hours
Project description:Extracellular vesicles (Evs) from proliferating myogenic progenitor cells (MPCs) were isolated and RNA was profiled via miRNA microarray
Project description:Analysis of C2C12 myotubes treated with dexamethasone (Dex) for 6 or 24 hours. Dex is a synthetic glucorticoid receptor agonist. Results provide insight to the effect of glucocorticoids on myotubes.
Project description:Extracellular Vesicles (EV) are an attractive therapy to boost cardiac regeneration. Nevertheless, identification of EV and corresponding cell platform(s) suitable for therapeutic application, is still a challenge. Here, we isolated EV from key stages of the human induced pluripotent stem cell-cardiomyocyte (hiPSC-CM) differentiation and maturation, i.e., from hiPSC (hiPSC-EV), cardiac progenitors (CPC-EV), immature (CMi-EV) and mature (CMm-EV) cardiomyocytes, with the aim of identifying a promising cell biofactory for EV production, and pinpoint the genetic signatures of bioactive EV. EV were characterized in terms of expression of specific markers, yield, and size. Bioactivity was assessed in human umbilical vein endothelial cells (HUVEC) and hiPSC-CM. Small RNA-Seq was performed to identify the differentially expressed miRNA in the four EV groups. Bioactivity assays showed increased tube formation and migration in HUVEC treated with hiPSC-EV compared to EV from committed cell populations. hiPSC-EV also significantly increased hiPSC-CM proliferation. Global miRNA expression profiles corroborated an EV-miRNA pattern indicative of stem cell to cardiomyocyte specification. A stemness maintenance miRNA cluster upregulated in hiPSC-EV was found to target the PTEN/PI3K/AKT pathway. Moreover, hiPSC-EV treatment mediated PTEN suppression and increased AKT phosphorylation. Overall, our findings validate hiPSC as suitable cell biofactories for EV production for cardiac regenerative applications.
Project description:A comparison of gene expression between control versus IPF human lung MPC using human Affy 1.0st chips. This work was funded by grants to S.M. Majka from the NIH R01HL091105 and NIH R01HL11659701. Additional funding was also provided by PPG-5P01HL108800-04 (PI:J. Loyd). Experiments were performed using the University of Colorado Cancer Center Microarray core (NCI P30 CA 46934-14). The project was supported in part by the National Center for Research Resources, Grant UL1 RR024975-01, and is now at the National Center for Advancing Translational Sciences, Grant 2 UL1 TR000445-06.
Project description:ATF4 is a bZIP transcription factor that that promotes skeletal muscle atrophy. The goal of these studies was to determine the effects of ATF4 overexpression on mRNA levels in differentiated C2C12 myotubes. For additional details see Ebert et al, Stress-Induced Skeletal Muscle Gadd45a Expression Reprograms Myonuclei and Causes Muscle Atrophy. JBC epub. June 12,2012 C2C12 myotubes were infected with adenovirus co-expressing eGFP and ATF4-FLAG. Control myotubes were infected with adenovirus co-expressing eGFP and a transcriptionally inactive ATF4 construct (ATF4∆bZIP).
Project description:Purpose: Liver-specific MPC-knockout (Mpc1-/-, LivKO) mice develop less liver tumors than wild-type (Mpc1+/+) mice when given a DEN/CCl4 hepatocarcinogenesis protocol. The goals of this study are to compare transcriptome changes (RNA-seq) between liver tumor and normal-adjacent tissue in WT and Mpc1-/- mice. Methods: Total RNA was collected from tumor and paired normal-adjacent liver samples using the Qiagen miRNeasy kit. RNA from four samples each of wild-type tumor (WT-Tumor), paired wild-type normal-adjacent (WT normal adjacent), Mpc1-/- (MPC LivKO) tumor (MPC LivKO-Tumor), and paired MPC LivKO normal-adjacent (MPC LivKO normal adjacent) tissue was isolated. Each tumor and its paired normal-adjacent tissue were analyzed in a paired manner. Library preparation and sequencing were performed using the Illumina mRNA-Seq workflow. For data normalization, the raw number of reads for each transcript was converted to Fragments Per Kilobase of transcript per Million mapped reads (FPKM). FPKM values were log transformed, and unsupervised clustering was performed on samples based on normalized expression of genes with variation in Euclidean distance among samples of at least 2.5 standard deviations using Cluster 3 software. Results: Using an optimized data analysis workflow, we mapped about 50 million sequence reads per sample to the mouse genome (buildmm10) and identified 15,777 transcripts in the liver tissue samples of WT an Mpc1-/- (MPC LivKO) with Illumina workflow. FPKM values were log transformed, and unsupervised clustering was performed using Cluster 3 software. Unsupervised clustering analysis identified six gene expression groups: (1) increased gene expression in both WT and LivKO tumors, (2) increased gene expression in WT tumors, (3) increased gene expression in MPC LivKO tumors, (4) decreased gene expression down in both WT and LivKO tumors, (5) decreased gene expression in WT tumors, and (6) decreased gene expression in MPC LivKO tumors. Conclusions: Our study is the first on Mpc1-/- liver tumors. The HCC markers Alpha-fetoprotein (Afp) and Glypican-3 (Gpc3) were in the cluster of genes upregulated in both WT and MPC LivKO tumors. In the cluster of 14 genes up-regulated in only WT tumors were two GSTs: Gsta1 and Gstp2. In the cluster of 108 genes down-regulated in only MPC LivKO tumors were three GSTs: Gsta2, Gsta3, and Mgst1. That same cluster contained Gpx1, glutathione peroxidase (Gpx1). Thus, we concluded WT tumors increased but MPC LivKO tumors decreased expression of glutathione metabolizing genes.