Ribosomes are highly conserved large ribonucleoprotein (RNP) particles, consisting in yeast of a large 60S subunit and a small 40S subunit, that perform protein synthesis. Yeast ribosomes contain one copy each of four ribosomal RNAs (5S, 5.8S, 18S, and 25S; produced in two separate transcripts encoded within the rDNA repeat present as hundreds of copies on Chromosome 12) and 79 different ribosomal proteins (r-proteins), which are encoded by 137 different genes scattered about the genome, 59 of which are duplicated (7, 5). The 60S subunit contains 46 proteins and three RNA molecules: 25S RNA of 3392 nt, hydrogen bonded to the 5.8S RNA of 158 nt and associated with the 5S RNA of 121 nt. The 40S subunit has a single 18S RNA of 1798 nt and 33 proteins (8, 5). All yeast ribosomal proteins have a mammalian homolog (9). In a rapidly growing yeast cell, 60% of total transcription is devoted to ribosomal RNA, and 50% of RNA polymerase II transcription and 90% of mRNA splicing are devoted to the production of mRNAs for r-proteins. Coordinate regulation of the rRNA genes and 137 r-protein genes is affected by nutritional cues and a number of signal transduction pathways that can abruptly induce or silence the ribosomal genes, whose transcripts have naturally short lifetimes, leading to major implications for the expression of other genes as well (10, 11, 12). The expression of some r-protein genes is influenced by Abf1p (13), and most are directly induced by binding of Rap1p to their promoters, which excludes nucleosomes and recruits Fhl1p and Ifh1p to drive transcription (14). Ribosome assembly is a complex process, with different steps occurring in different parts of the cell. Ribosomal protein genes are transcribed in the nucleus, and the mRNA is transported to the cytoplasm for translation. The newly synthesized r-proteins then enter the nucleus and associate in the nucleolus with the two rRNA transcripts, one of which is methylated and pseudouridylated (
Referenced datasets may contain one or more condition(s), and as a result there may be a greater
number of conditions than datasets represented in a single clickable histogram bar. The histogram
division at 0.0 separates the down-regulated (green) conditions and datasets from those that are
up-regulated (red). Datasets are assigned one or more categories to facilitate grouping, filtering
and browsing. Expression data are derived from records contained in the
Gene Expression Omnibus, and are first log2
transformed and normalized. The PCL files generated for each dataset are used to populate the
expression analysis tool SPELL.
No expression data for RPL24B. View genes with similar expression profiles using
SPELL
(Serial Pattern of Expression Levels Locator).
Datasets are used to populate the expression analysis tool SPELL and may contain data for more
than one unique experimental condition. All data is log2 transformed and normalized, and the
files are provided in PCL format. Short descriptions of the experimental focus are provided, as
are categories, assigned based on the area(s) of biology investigated and used in SPELL to group
and filter like data. The number of unique experimental conditions are indicated and all
datasets are referenced.
Increase the total number of rows displayed on this page using the pull-down located below the table, or use the
page scroll at the table's top right to browse through the table's pages; use the arrows to the right of a column
header to sort by that column; filter the table using the "Filter" box at the top of the table; download this table
as a .txt file using the Download button;
This diagram displays a gene network based on correlated expression profiles (purple lines)
between the given gene (yellow circle) and genes that share expression profiles (gray circles).
The correlation coefficient is calculated between every pair of genes in every dataset, then
the number of datasets in which the pair of genes has a significant correlation with one another
is determined. The network displays the genes whose expression is correlated with the given gene
in the largest number of datasets. Please note that SPELL use a different algorithm to make a
global calculation taking into account all the datasets at once, and may therefore display a
different set of correlated genes.
Click on a gene to go to its specific page within SGD; drag any of the gene objects around within the visualization
for easier viewing. Filter similar genes by adjusting the number of datasets in which their expression profiles are
highly correlated with the gene of interest by clicking anywhere on the slider bar or dragging the tab to the
desired filter number. Click “Reset” to automatically redraw the diagram.
RPL24B / YGR148C Expression
Annotations
Evidence ID
Analyze ID
Dataset
Description
Keywords
Number of Conditions
Reference
Similar Gene Expression Profiles