← BioTransfer GEO Dataset Finder
GEO series

Differential expression analysis connects knock-downs of eIF3e and eIF3d with the MAP kinase signaling pathway

GSE216967 Homo sapiens Expression profiling by high throughput sequencing; Other 28 samples 2024/04/25 GPL24676
Summary
A prominent hallmark of cancer is deregulated protein synthesis. It is well established that various translation initiation factors (eIFs) are either overexpressed or under-expressed in numerous types of cancer. Recent studies suggest that rather than representing an indirect consequence of neoplasia, imbalanced expression of eIFs significantly contributes to cellular transformation, tumor development, cancer cell survival, metastasis and tumor angiogenesis. Among them, eIF3 stands out as the largest complex composed of 12 subunits with a modular assembly, where aberrant expression of one subunit leads to partially functional subcomplexes. Here we took advantage of well-established knockdowns of subunits d, e and h of human eIF3, all implicated in cancer, and investigated their impact on differential gene expression translatome-wide by Ribo-Seq. We demonstrate that eIF3e and eIF3d knock-downs result in reduced translation efficiency of numerous components of the MAPK signaling pathway, a pathway often upregulated in cancer, and pathways preventing genotoxic stress. Concurrently, depletion of eIF3d increased translation of proteins associated with membrane organelles, whereas eIF3e depletion increased expression of numerous ribosomal proteins, implicating eIF3e in controlling the balanced production of mature ribosomes. Overall, our data illustrate that individual eIF3 subunits exert specific translational control over a broad range of cellular transcripts.
Download
NCBI GEO page ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.