Project description:Determing the gene network regulated by Pitx2 in during forelimb muscle development of mouse embryos at E12.5. Lbx1 is coexpressed in Pitx2+ cells during forelimb development, thus Pitx2-LacZ and Lbx1-EGFP+ mice were cross bred to allow us to purify Lbx1-EGFP+|Pitx2 -wild type, het, or null cells by flow sorting We used microarray analysis to determine the genes misregulated in Pitx2 null mice compared to Pitx2 wild type and heterozygotes. Lbx1-EGFP+|Pitx2(+/+, LacZ/+, or LacZ/LacZ) cells were flow sorted, RNA extracted, labelled cDNA was hybridized to Affymetrix mouse genome 430 2.0 arrays
Project description:Determing the gene network regulated by Pitx2 in during forelimb muscle development of mouse embryos at E12.5. Lbx1 is coexpressed in Pitx2+ cells during forelimb development, thus Pitx2-LacZ and Lbx1-EGFP+ mice were cross bred to allow us to purify Lbx1-EGFP+|Pitx2 -wildtype, het, or null cells by flow sorting We used microarray analysis to determine the genes misregulated in Pitx2 null mice compared to Pitx2 wildtype and heterozyogtes.
Project description:The chromatin state in developing body parts provides a zip code to cellular populations that direct their cell fates. We used antibodies for H3K4me3, H3K27me3 and Pol2, to identify the chromatin state signature of the Pitx2-null mouse forelimb during mid-gestation, at embryonic day 12. The families of genes marked included those related to transcription, transcriptional regulation, and embryonic organ development. Transcription factors specific for muscle development were characterized by bivalent chromatin, as E12 is a transition time point from embryonic to fetal myogenesis. The identified chromatin state of muscle specific genes was in strong correlation with their observed expression profile. Examination of the histone marks H3K4me3, H3k27me3, and Pol2 in whole E12.5 forelimb tissues from Pitx2 null mice using the Illumina HiSeq 2000
Project description:To define the repertoire of Sox9-dependent genes that contribute to the regulation of chondrogenesis, we generated Sox9-3'enhanced green fluorescent protein (EGFP) knock-in mice (Sox9-3'EGFP) and Sox9-EGFP/EGFP null chimeras. EGFP-positive cells of Sox9-3'EGFP knock-in and Sox9-EGFP/EGFP null chimeric embryos harvested from limb buds at embryonic day 12.5 were sorted using a FACSAria flow cytometer (Becton-Dickinson). Total RNA of sorted cells was extracted using the RNeasy Mini Kit (QIAGEN) and amplified according to the instructions provided by Affymetrix. Microarray analysis using the Affymetrix Mouse Genome 430 2.0 Array was performed according to the manufacturer's instructions.
Project description:To determine the underlying molecular mechanisms that control the homing and self-renewal activities of P2x7-null Mac-1+c-Kit+ LICs, WT and P2x7-null LICs were WT and P2x7-KO were sorted by flow cytometry, followed by the extraction of total RNA and subjected to the RNA-sequencing.
Project description:To determine the underlying molecular mechanisms that control the homing and self-renewal activities of P2x1-null Mac-1+c-Kit+ LICs, WT and P2x1-null LICs were WT and P2x1-KO were sorted by flow cytometry, followed by the extraction of total RNA and subjected to the RNA-sequencing.
Project description:To further stably express PTPRR (WT)-PafA or PTPRR (DA)-PafA in iPUP OVCAR5 cell, we subcloned PTPRR-WT or DA, respectively, into the PafA-IRES-EGFP plasmid. Each plasmid was packed into a lentivirus and then transduced into iPUP OVACR5 cells for 48 h. GFP-positive cells were sorted by flow cytometry. The expression of PTPRR (WT)-PafA and PTPRR (DA)-PafA was confirmed by western blotting analysis. PTPRR (WT)-PafA or PTPRR (DA)-PafA expressed iPUP OVCAR5 cells were grown to a cell density of about 75% on 10 cm dishes. We followed the protocol established previous. To prepare PUP-IT samples for mass spectrometry analysis, including doxycycline induction, biotin labeling, cell lysis, streptavidin magnetic beads pull-down, trypsin digestion, and peptide cleaning.
Project description:The goal of this microarray analysis was to see which genes are differentially expressed between Sox9-EGFP positive cells and Sox9-EGFP negative cells in E11.5 mouse limb bud autopods of the reporter Sox9-EGFP knock-in mouse(Nakamura et al 2011). This was done in order to gain insight of the genes that could contribute to the specification of the digits (Sox9 positive cells). Mesenchymal cells were extracted from the mouse (Sox9EGFP knock-in, Nakamura et al . 2011) embryo forelimb autopod at stage E11.5. Sox9EGFP-positive cells were FACS-sorted from Sox9EGFP-negative cells . Each FACS-sorted sample was made from several forelimb autopods (approximately n=10). Three replicates were used for each group of Sox9EGFP-positive cells and Sox9EGFP-negative cells. Extraction of total RNA, labeling and hybridization to the microarray were performed using attached protocols. We identified the genes that were differentially expressed between the two groups.
Project description:The chromatin state in developing body parts provides a zip code to cellular populations that direct their cell fates. We used antibodies for H3K4me3, H3K27me3 and Pol2, to identify the chromatin state signature of the Pitx2-null mouse forelimb during mid-gestation, at embryonic day 12. The families of genes marked included those related to transcription, transcriptional regulation, and embryonic organ development. Transcription factors specific for muscle development were characterized by bivalent chromatin, as E12 is a transition time point from embryonic to fetal myogenesis. The identified chromatin state of muscle specific genes was in strong correlation with their observed expression profile.
Project description:We used microarrays to identify Pax3 targets during myogenesis in the mouse embryo Mouse embryos were genotyped Pax3GFP/+ or Pax3PAX3-FKHR/GFP and dissected at E10.5 under a fluorescent binocular. The forelimb buds were dissected and dissociated and GFP positive cells were then sorted by flow cytometry before RNA extraction and hybridization on Affymetrix microarrays. We also sorted GFP negative cells.