Stats by Source
Total, split by cell line (COSMIC CL / DepMap / PubMed) vs tissue (COSMIC primary tissue)
Total = all mutations for this gene across every source.
Cell line = COSMIC Cell Lines Project + DepMap + PubMed.
Tissue = COSMIC primary-tissue (patient tumour) samples.
Total can exceed cell line + tissue: COSMIC tissue-derived models sit only in global, and a peptide can be shared across both.
| Total | Cell line | Tissue | |
|---|---|---|---|
| Mutations | 7 | 0 | 0 |
| Samples | 6 | 0 | 0 |
| Peptides | 7 | 0 | 0 |
Function
RSKR · Ribosomal protein S6 kinase related
Predicted to enable protein kinase activity. Predicted to be involved in protein phosphorylation. [provided by Alliance of Genome Resources, Apr 2022]
Isoforms & Proteins
1 transcript · UniProt mapping is sequence-verified (AA-safe)
Each Ensembl transcript (ENST) this gene is mutated on, with its matched UniProt accession.
The mapping is sequence-verified: the UniProt sequence is identical to the transcript translation, so amino-acid positions line up exactly. A * marks an unreviewed (TrEMBL) entry.
Counts are mutations and unique mutant peptides on each transcript.
| Transcript | UniProt | Mutations | Peptides |
|---|---|---|---|
| ENST00000301037 | Q96LW2 | 7 | 7 |
Gene Properties
Recurrent Mutations
All 7 amino-acid changes on canonical ENST00000301037 · needle height = samples · drag the mini-map to zoom
A lollipop / needle plot – the standard way to show recurrent mutations along a protein (as used by cBioPortal and MutationMapper).
X-axis = amino-acid position in the protein.
Needle height & head size = how often that exact amino-acid change was observed (its recurrence). Tall/large heads are mutational hotspots.
The most recurrent changes are labelled; hover any needle for the change, position and counts.
Mutation frequency across cancer types
% of samples with a missense/complex mutation in RSKR · cell line vs tissue
For each cancer type, the fraction of samples that carry at least one missense/complex mutation anywhere in RSKR – counted as distinct samples (a sample counts once no matter how many mutations it has).
Split into cell line and tissue; each cell shows mutated / total and the percentage. Cohorts with <20 samples are omitted. Ordered by combined frequency.
| Cancer type | Cell lines | Tissue samples |
|---|---|---|
| Endometrial Carcinoma | 0/42 0% | 1/612 0% |
| Bladder Carcinoma | 0/58 0% | 1/956 0% |
| Ovarian Carcinoma | 0/109 0% | 1/998 0% |
| Melanoma | 0/210 0% | 1/1899 0% |
| Breast Carcinoma | 0/144 0% | 1/3264 0% |
| Colorectal Carcinoma | 0/143 0% | 1/3239 0% |
Mutation Distribution
Where RSKR is mutated · all tissues, split by cell line vs tissue
How many mutations in RSKR were found in each tissue, across the whole database.
Each bar is a tissue (cell-line and tissue names are merged to the standard tissue), split into cell line and tissue (patient tumour) contributions.
This shows the cancer-context where this gene is recurrently altered.
Mutations
All 7 mutations in RSKR
Every mutation record for this gene, across all samples and sources.
The Sample column links to the cell line (cell-line samples) or the tissue type (tissue samples).
Use the Type / Source filters, the search box, and column sorting to explore; each CAN-IMMUNE ID opens the full mutation & peptide view.
| ID | Sample | Transcript | AA Change | CDS | Type | Source | Mutant Peptide | Wild-type Peptide |
|---|