Project description:We report chromatin accessibility time-course profiling (ATAC-seq) of intermediate populations of reprogramming of human fibroblasts into primed and naïve pluripotent states
Project description:Chromatin accessibility mapping by DNase-seq on FACS-isolated cell populations during Drosophila melanogaster embryogenesis (6-8 hrs after egg-laying)
Project description:Transposase-accessible chromatin by sequencing (ATAC-seq) has emerged as an advantageous technique to assess chromatin accessibility owing to the robustness of "tagmentation" process and a relatively faster library preparation. A comprehensive ATAC-seq protocol from Drosophila brain tissue is currently unavailable. Here, we have provided a detailed protocol of ATAC-seq assay from Drosophila brain tissue. Starting from dissection and transposition to amplification of libraries has been elaborated. Furthermore, a robust ATAC-seq analysis pipeline has been presented. The protocol can be easily adapted for other soft tissues.
Project description:chromatin accessibility (ATAC-seq) experiment. HeLa cells were primed with IFNγ for 24 hours, followed by IFNγ washout. After 48h, naïve and primed cells were induced by IFNγ for 1h and 3h. Cells were harvested at indicated time points and processed for ATAC-seq.
Project description:Here, we present new functional genomic resources for the amphipod crustacean Parhyale hawaiensis, facilitating the exploration of gene regulatory evolution using this emerging research organism. We use Omni-ATAC-Seq, an improved form of the Assay for Transposase-Accessible Chromatin coupled with next-generation sequencing (ATAC-Seq), to identify accessible chromatin genome-wide across a broad time course of Parhyale embryonic development. This time course encompasses many major morphological events, including segmentation, body regionalization, gut morphogenesis, and limb development. In addition, we use short- and long-read RNA-Seq to generate an improved Parhyale genome annotation, enabling deeper classification of identified regulatory elements. We leverage a variety of bioinformatic tools to discover differential accessibility, predict nucleosome positioning, infer transcription factor binding, cluster peaks based on accessibility dynamics, classify biological functions, and correlate gene expression with accessibility.
