Translatome and transcriptome analysis of TMA20 (MCT-1) and TMA64 (eIF2D) knockout yeast strains
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PROVIDER: PRJNA503203 | ENA |
REPOSITORIES: ENA
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Project description:TMA20 (MCT-1), TMA22 (DENR) and TMA64 (eIF2D) are eukaryotic translation factors involved in ribosome recycling and re-initiation. They operate with P-site bound tRNA in post-termination or (re-)initiation translation complexes, thus participating in the removal of 40S ribosomal subunit from mRNA stop codons after termination and controlling translation re-initiation on mRNAs with upstream open reading frames (uORFs), as well as de novo initiation on some specific mRNAs. Here we report ribosomal profiling data of S.cerevisiae strains with individual deletions of TMA20, TMA64 or both TMA20 and TMA64 genes. We provide RNA-Seq and Ribo-Seq data from yeast strains grown in the rich YPD or minimal SD medium. We illustrate our data by plotting differential distribution of ribosomal-bound mRNA fragments throughout uORFs in 5'-untranslated region (5' UTR) of GCN4 mRNA and on mRNA transcripts encoded in MAT locus in the mutant and wild-type strains, thus providing a basis for investigation of the role of these factors in the stress response, mating and sporulation. We also document a shift of transcription start site of the APC4 gene which occurs when the neighboring TMA64 gene is replaced by the standard G418-resistance cassette used for the creation of the Yeast Deletion Library. This shift results in dramatic deregulation of the APC4 gene expression, as revealed by our Ribo-Seq data, which can be probably used to explain strong genetic interactions of TMA64 with genes involved in the cell cycle and mitotic checkpoints. Raw RNA-Seq and Ribo-Seq data as well as all gene counts are available in NCBI Gene Expression Omnibus (GEO) repository under GEO accession GSE122039 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE122039).
| S-EPMC6378902 | biostudies-literature
Project description:We report ribosome profiling and RNA-Seq data of S.cerevisiae strains with TMA20, TMA64 single- and TMA20/TMA64 double-gene knockouts, grown in the rich YPD or minimal SD medium.
2018-11-01 | GSE122039 | GEO
Project description:MCT-1 is an oncogene initially identified in a human T-cell lymphoma. Subsequently, MCT-1 protein levels were found to be elevated in a subset of diffuse large B-cell lymphoma. Forced expression of MCT-1 has recently been shown to induce cell proliferation as well as activate survival-related pathways protecting lymphoid cells from apoptosis. We document here that MCT-1 interacts with the density-regulated protein (DENR/DRP), containing the SUI1 translation initiation domain, found in many translation initiation factors. MCT-1 contains the PUA domain, a recently described RNA binding domain that is found in several tRNA and rRNA modification enzymes. Our findings established that MCT-1 protein is interacting with the cap complex through its PUA domain and enhances translation. Furtheremore, our data support a putative role for the MCT-1 oncogene in translation and suggests a mechanism for its role in lymphomagenesis. Keywords: Gene upregulation by MCT-1
2006-09-15 | GSE4805 | GEO
Project description:We have used DNA microarray technology to compare the expression of over 6000 genes between C. albicans WT and ACE2 knockout strains in the yeast form. Keywords: Gene expression comparison
2007-02-23 | GSE7099 | GEO
Project description:RNA Sequencing and Ribosome profiling of GIR2 and PUB1 knockout yeast strains.
| PRJNA768456 | ENA
Project description:RNA Sequencing and Ribosome profiling of TMA46, STM1 and YGR054W knockout yeast strains
| PRJNA769126 | ENA
Project description:This experiment is the analysis of the transcriptomes of several hybrid yeast strains obtained by crossing natural (from wine) isolates of S. cerevisiae and S. uvarum. All isolations have been done from hybrid strains growing in exponential phase in YPD. Keywords: Strain comparison
2008-07-15 | GSE9888 | GEO
Project description:Pilot KOMP knockout mouse strains
| PRJEB9629 | ENA
Project description:Characterizing a protein’s function often requires a description of the cellular state in its absence. Multiplexing in mass spectrometry-based proteomics has now achieved the ability to globally measure protein expression levels in yeast from 10 cell states simultaneously. We applied this approach to quantify expression differences in wild type and 9 deubiquitylating enzyme (DUB) knockout strains with the goal of creating “information networks” which might provide deeper, mechanistic insights into a protein’s biological role. In total, more than 3,700 proteins were quantified with high reproducibility across three biological replicates (30 samples in all). DUB mutants demonstrated different proteomics profiles, consistent with distinct roles for each family member. These included differences in total ubiquitin levels and specific chain linkages. Moreover, specific expression changes suggested novel functions for several DUB family members. For instance, the ubp3Δ mutant showed large expression changes for members of the cytochrome C oxidase complex, consistent with a role for Ubp3 in mitochondrial regulation. Several DUBs also showed broad expression changes for phosphate transporters as well as other components of the inorganic phosphate signaling pathway, suggesting a role for these DUBs in regulating phosphate metabolism. These data highlight the potential of multiplexed proteome-wide analyses for biological investigation and provide a framework for further study of the DUB family. Our methods are readily applicable to the entire collection of yeast deletion mutants, and may help facilitate systematic analysis of yeast and other organisms.
2016-12-08 | PXD003033 | Pride