Project description:The aim of this experiment was to investigate the regulation of gene expression by KLF3 and KLF8 in fetal erythroid cells by analyzing single and double mutant mouse models. Affymetrix microarrays were performed on RNA from TER119+ fetal liver cells from E13.5 wildtype, Klf8gt/gt, Klf3-/- and Klf3-/- Klf8gt/gt mice. Four wildtype replicates, four Klf8gt/gt replicates, three Klf3-/- replicates and four Klf3-/- Klf8gt/gt replicates of E13.5 TER119+ fetal liver cell samples, litter-matched where possible.
Project description:Purpose:To assess changes in gene expression profiles of single cell from the wild type littermate controls cortices in E13.5, E15.5 and P0, and conditional knockout Bcl11a (and Bcl11b) at cortical projection neurons in the mouse cortices of the same ages. Methods: E13.5, E15.5 and P0 control and mutant cortices were carefully dissected under a clean environment. Then total RNA was isolated using an RNeasy Mini Kit (QIAGEN) according to the manufacturer’s protocol, quantified using NanoDrop ND-2000, and checked for RNA integrity using Agilent 2100 bioanalyzer. RNA-seq libraries were prepared according to the Illumina TruSeq protocol. Results: An average of 15 million reads per sample were obtained.
Project description:We performed single-cell RNA seq on C57/BL6 mouse back skin at E13.5, E16.5, and P0 to study embryonic hair follicle development. We analyzed 15,086 single cell transcriptome profiles from E13.5, E16.5 and newborn mice (postnatal day 0, P0) dorsal skin cells across hair follicle induction, organogenesis, cytodifferentiation stage. Based on t-distributed Stochastic Neighbor Embedding (tSNE) clustering, we identified 14 cell clusters from skin cells and delineated their cell identity gene expression profile. By using Monocle pseudotime ordering analysis, we constructed epithelium/dermal cell lineage differentiation trajectory and revealed sequential activation of key regulons involved during embryonic hair follicle morphogenesis. Our findings here provide molecular landscape during hair follicle epithelium/dermal cell lineage fate decisions.
Project description:A growth cone (GC) is a part of a neuron considered a hub for axon growth, motility and guidance functions. Here, we present a dataset on the protein profiling of the growth cone-enriched fractions derived from E18, P0, P3, P6 and P9 C57BL/6J mouse pups. For comparison, we analyzed non-growth cone membranes.
Project description:Purpose:To asses changes in gene expression profiles from the P0 wild type littermate controls cortex, hGFAP-Cre, SmoM2f/+ mice cortex and ShhN IUE (ShhN palsmid were electroporated to wild type mice cortex at E13.5 and the cortex were dissected at P0) mice. Methords:Total RNA was isolated and sequenced using an illumina high-seq 2500. Raw data was analyzed using TopHat. Genes were considered significantly changed whicn perform fold-change>=2 and P value <= 0.05 Results: Compared to controls, 2466 genes were significantly down-regulated, and 5289 genes were up regulated in the RNA expression level of the SmoM2 mice; 3492 genes were significantly down-regulated, and 3577 genes were up regulated in the RNA expression level of the cortex of ShhN IUE mice.
Project description:The role of the hippocampus in learning and memory has been widely studied. However, studies of differences along the longitudinal axis indicate that the hippocampus is perhaps not a singular structure, but instead it is thought that the dorsal and ventral poles of the hippocampus have functional differences. An anatomical gradient of hippocampal inputs along the dorsal-ventral axis supports this notion. It has been recently shown that there is transcriptional differentiation along the longitudinal axis of the adult hippocampus, coinciding with functional and anatomical gradients. Understanding the development of the dorsal-ventral hippocampal axis will further our understanding of the different hippocmapal functional contributions along the longitudinal axis. However, analysis of transcriptional gradients along the dorsal ventral axis have not been studied in the neonatal rat during development. We performed an extensive bead-chip based geneome-wide analysis of transcriptional differences in dorsal, intermediate, and ventral hippocampal tissue of rats aged postnatal day 0 (P0), P9, P18 and P60.
Project description:microRNAs are small, non-coding, single-stranded RNAs between 18-22 nucleotides long that regulate gene expression. Expression of microRNAs is altered in tumor compared to normal tissue; there is some evidence that these changes may be reflected in the serum of cancer cases compared to healthy individuals. This has yet to be examined in a prospective study where samples are collected before diagnosis. We used Affymetrix arrays to examine serum miRNA expression profiles in 410 participants in the Sister Study, a prospective cohort study of 50,884 women. All women in the cohort had never been diagnosed with breast cancer at the time of enrollment. We compared global miRNA expression patterns in 205 women who subsequently developed breast cancer and 205 women who remained breast cancer-free.
Project description:p21 (CDKN1A) expression from an IPTG-inducible promoter in HT1080 p21-9 cells was previously shown to inhibit a set of genes, many of which are involved in cell cycle progression, and to upregulate another set of genes, some of which have been implicated in cancer and age-related diseases. We have now developed Senexin A, a small-molecule inhibitor of p21-induced transcription, which we found to be a selective inhibitor of CDK8 and CDK19. Here we tested the effect of Senexin A on the induction and inhibition of transcription by p21. In this dataset, we include microarray gene expression data from samples of HT1080 p21-9 cells that were either untreated, treated with p21-inducing IPTG alone, with Senexin A alone, or with IPTG and Senexin A. This experiment shows that Senexin A inhibits primarily the induction but not the inhibition of gene expression by p21. The data for each of the four samples were normalized to the sample from untreated cells, using GeneSpring GX. Fold changes in gene expression upon the addition of IPTG with or without Senexin A were compared using Microsft Excel. Changes in the expression of specific GO categories of genes were compared using GeneSpring.