Ribosome profiling of NEW1 knock-out as well as the isogenic wild type strain of Saccharomyces cerevisiae. The cultures were grown either at 20°C or 30°C.
Ontology highlight
ABSTRACT: Loss of New1 leads to a cold-sensitive phenotype of yeast Saccharomyces cerevisiae. In this study we investigated the effect of NEW1 knockout on translation using Ribo-Seq and RNA-Seq analyses.
Project description:New1 is not an essential gene but its deletion shows a cold-sensitive phenotype in yeast Saccharomyces cerevisiae. In this study, we compare the NEW1 knockout effect on translation using Ribo-Seq and RNA-Seq analyses.
Project description:Ribosome profiling (Ribo-Seq) and RNA-Seq analysis of eEF3 depletion in yeast (Saccharomyces cerevisiae). eEF3 depletion was induced by methionine in a modified strain where the native promoter was replaced by methionine repressible MET25 promoter. Conditional depletion enables us to study global effects of an essential gene.
Project description:To define what genes are predominantly or specifically expressed in either soma or germline in C. elegans adults, total RNA was extracted from germline-less glp-4 mutant animals or from dissected gonads, respectively. Total RNA sequencing was peformed in duplicates. Four samples in total.
Project description:Bone marrow (BM) cells were obtained by flushing the long bones of 8-week old C57BL/6 mice. BM cells were then were plated in macrophage SFM medium (Life Technologies) supplemented with penicillin-streptomycin and CSF-1 (Peprotech, 100 ng/ml) and cultured for one week to allow macrophage differentiation. BMDMs were polarized by adding IL-4 to the medium (40 ng/ml, Peprotech) for 72h or left untreated. 8 samples total, 2 groups, 4 biological replicates in each group
Project description:In this study, we make used of mRNA-seq and its ability to reliably quantify isoforms, integrating this data with ribosome profiling and LC-MS/MS, to assign ribosome footprints and peptides at the isoform level. We leverage the principle that most cell types, and even tissues, predominantly express a single principal isoform to set isoform-level mRNA-seq quantifications as priors to guide and improve allocation of footprints or peptides to isoforms. Through tightly integrated mRNAseq, ribosome footprinting and/or LC-MS/MS proteomics we demonstrate that a principal isoform can be identified in over 80% of gene products in homogenous HEK293 cell culture and over 70% of proteins detected in complex human brain tissue. Defining isoforms in experiments with matched RNA-seq and translatomic/proteomic data increases the functional relevance of such datasets and will further broaden our understanding of multi-level control of gene expression. In this PRIDE submission you will find the raw files for the HEK293 cell proteomics. Files for the human brain proteomics can be found at PXD005445. We have also uploaded a zip file that contains the input files for our HEK293 cell analysis, and the isoform level output files – there is a separate folder within the zip files for these. The data used to create the manuscript figures is in the Rdata file. Code for assigning peptides and footprints to isoforms can be found on Github here: https://github.com/rkitchen/EMpire
Project description:Total RNA was isolated from 3 biological replicates of C. glutamicum wildtype, deletion mutant sigE and deletion mutant cseE cells by a Quick-RNA Miniprep Plus kit (Zymo Research). The samples were treated with DNase (Roche Diagnostics) and RNA was purified with an RNA Clean&Concentrator-5 kit (Zymo Research). Ribosomal rRNA was removed with a Ribo-Zero rRNA Removal Kit for bacteria (Illumina). The purity of RNA was then tested with an Agilent RNA Pico 6000 kit and an Agilent 2100 Bioanalyzer (Agilent Technologies). TruSeq Stranded mRNA Sample Preparation guide (Illumina) was then used to construct the cDNA library. The constructed cDNA library was then sequenced with Illumina HiSeq 1500 using a read length of 74 bases.
Project description:Pneumonia remains the leading cause of death in children under five, but existing diagnostic methods frequently lead to innecessary or mistaken treatment. M. pneumoniae lacks cellular wall so it does not respond to common firs-line antibiotic. Our study aims to guide the diagnosis and treatment by identifying host transcriptomic biomarkers in the blood of children with Mycoplasma pneumoiae pneumonia. Using RNA sequencing, we identified and validated 8 different n-transcript signature that accurately differentiates M. pneumoniae pneumonia from the rest of pneumonias. A strand specific library preparation was completed using NEBNext® Ultra™ II mRNA kit (NEB) and NEB rRNA/globin depletion probes following manufacturer’s recommendations. Individual libraries were normalized using Qubit, pooled together and diluted. The sequencing was performed using a 150 or 75 paired-end configuration in a Novaseq6000 or HiSeq 4000 platforms. Quality control of raw data was carried out using FastQC, alignment and read counting were performed using STAR, alignment filtering was done with SAMtools and read counting was carried out using FeatureCounts. RNAseq data was processed for batch correction using control samples and COMBAT-Seq package.
Project description:To analyse the transcriptional response of Rhodococcus aetherivornas BCP1 to arsenic, RNA was extracted from BCP1 cultures exposed to arsenite [As(III)] 5 mM and arsenate [As(V)] 30 mM for 18 hours in the presence of glucose as only carbon and energy source. Control cultures were carried out without adding any arsenic oxyanions. Illumina Truseq stranded mRNA libraries were constructed after rRNA depletion via Illumina Ribozero and sequenced on Illumina HiSeq 1500 system 2 x 70nt PE rapid mode.
Project description:p53 is deleted or dysfunctional, or develops these features during the course of disease, with a frequency of about 50% in human cancers. This is clinically important because this group of patients respond very poorly to treatment. Our approach to discovering novel biomarkers or targets for therapy for p53 deleted/dysfunctional disease is to find genes that are translationally regulated by p53. The aim of this experiment is to compare translational efficiencies in cancer cells that are p53 WT, p53-/-, or p53 R175H, in response to doxorubicin.