Project description:To study the biogenesis of long non-coding RNAs transcribed during genome rearrangements in Oxytricha development, genome-wide localization pattern of Rpb1 (RNA Pol-II largest subunit) was studied from Oxytricha cells undergoing conjugation. Chromatin from 12hr conjugating O.trifallax cells was subjected to chromatin immunoprecipitation (ChIP) followed by sequencing of Input and ChIP samples via Illumina paired-end sequencing.
Project description:We present a comprehensive transcriptome of ciliate T. thermophila using the Illumina RNA-seq platform. The data was generated from the six mRNA samples of growth, starvation and conjugation of Tetrahymena. Despite an AT rich genome, there are about 124.6 million reads mapped to T. thermophila genome. Using these mapped reads, we have significantly improved the previous genome annotation and investigated the gene expression. Besides, our result also provided a comprehensive understanding of the alternative splicing in T. thermophila, and suggested the existence of the regulated unproductive splicing and translation (RUST) in the single-celled eukaryote. RNA-seq for six samples of Tetrahymena growth, starvation and conjugation.
Project description:In this study, we identified and validated a molecular classification of hepatocellular carcinoma (HCC) based on 42 fatty acid degradation (FAD) genes in clinical samples. We further searched PubMed for the RNA sequencing datasets of mouse models to identify the FAD subtypes in mouse HCC models. A total of 90 samples were collected from five publicly available datasets including 11 mouse HCC models. In addition, the transcriptome sequencing data of 8 samples from our two mouse models (NRAS.MYC.ND and AKT1.MYC.KD) were also included. This dataset aims to explore the transcriptomic characteristics of these two models.
Project description:This dataset contains whole-genome MBD (methylbinding domain) sequencing results from cortical neuronal cultures and serves as the basis for characterization of DNA methylation profiles from neuronal systems. This experiment contains three sequencing datasets from 2 biological samples. Two datasets originate from samples that underwent MBD-capture prior to whole-genome sequencing. A third dataset contains non-MBD-captured genomic DNA as a control.
Project description:Deconvoluted files of the 5-9 individuals of in silico datasets (combination of biological mixture sequencing and publicly available data). The dataset includes the phenotypes used for clustering.
Project description:Purpose: We purified spinal cord microglia utilizing percoll gradients and magnetic beads, followed by transcriptome profiling (RNA-seq) to define microglia expression profiles against other neural, immune cell-types. We next observed how the microglial transcriptomes change during activation in the SOD1-G93A mouse model of motor neuron degeneration at 3 time points. We also compared these profiles with that induced by LPS injection. Results and conclusions: ALS microglia were found to differ substantially from those activated by LPS and from M1/M2 macrophages by comparison with published datasets. These ALS microglia showing substantial induction of a neurodegeneration-tailored phenotype, with induction of lysosomal, RNA splicing, and Alzheimer's disease pathway genes. Overall they express a mixture of neuroprotective and neurotoxic factors during activation in ALS mice, showing that neuro-immune activation in the spinal cord is a double-edged sword. We also detected the transcriptional nature of surface marker expression in microglia (CD11b, CD86, CD11c), and substantial T-cell microglia cross-talk using correlative microglia transcriptome/FACS analysis. 42 total RNA samples from purified spinal cord microglia were subjected to paired-end RNA-sequencing. Parallel flow cytometry data was collected from the same spinal cords.