SKIDA1

SKI/DACH domain containing 1 Q1XH10 SKDA1_HUMAN
Protein Coding Chr 10 10p12.31 Swiss-Prot reviewed Entrez 387640
Mutations
827
CL 176 · Tissue 602
Samples
371
CL 75 · Tissue 283
Peptides
294
unique mutant peptides
Transcripts
2
isoforms mutated

Stats by Source

Total, split by cell line (COSMIC CL / DepMap / PubMed) vs tissue (COSMIC primary tissue)

How the counts split by source
Stats by Source

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.

TotalCell lineTissue
Mutations827176602
Samples37175283
Peptides29467227

Isoforms & Proteins

2 transcripts · UniProt mapping is sequence-verified (AA-safe)

About the isoform mapping
Isoforms & Proteins

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.

TranscriptUniProtMutationsPeptides
ENST00000449193 Q1XH10 443 294
ENST00000444772 Q1XH10-2 384 260

Gene Properties

Type
Protein Coding
Chromosome
10
Cytoband
10p12.31
Entrez ID
Aliases
C10orf140DLN-1

Recurrent Mutations

All 294 amino-acid changes on canonical ENST00000449193 · needle height = samples · drag the mini-map to zoom

What this lollipop shows
Recurrent Mutations

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 SKIDA1 · cell line vs tissue

How this frequency is counted
Cancer-type mutation frequency

For each cancer type, the fraction of samples that carry at least one missense/complex mutation anywhere in SKIDA1 – 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 typeCell linesTissue samples
T-Lymphoblastic Leukemia
9/40 22%
0/0 0%
Acute Myeloid Leukemia
5/90 6%
0/0 0%
Chronic Myelogenous Leukemia
1/25 4%
0/0 0%
Endometrial Carcinoma
2/42 5%
23/612 4%
Oral Cavity Carcinoma
1/54 2%
0/0 0%
Colorectal Carcinoma
10/143 7%
48/3239 1%
Melanoma
2/210 1%
33/1899 2%
Hodgkins Lymphoma
1/16 6%
1/122 1%
Gastric Carcinoma
4/74 5%
23/1809 1%
Plasma Cell Myeloma
4/44 9%
1/305 0%
Bladder Carcinoma
3/58 5%
9/956 1%
Neuroendocrine Tumour
5/154 3%
3/577 1%
Thyroid Gland Carcinoma
4/45 9%
13/1592 1%
Esophageal Squamous Cell Carcinoma
0/51 0%
25/2550 1%
Non-Small Cell Lung Carcinoma
2/304 1%
14/1390 1%
Burkitts Lymphoma
2/32 6%
0/196 0%
Head and Neck Carcinoma
0/85 0%
14/1574 1%
Gastrointestinal Stromal Tumour
0/0 0%
1/133 1%
Glioma
1/52 2%
15/2127 1%
Other Sarcomas
0/69 0%
5/699 1%
Hepatocellular Carcinoma
1/46 2%
11/2210 0%
Germ Cell Tumour
0/25 0%
1/169 1%
Biliary Tract Carcinoma
1/54 2%
4/950 0%
Other Solid Cancers
2/94 2%
6/1515 0%
Rhabdomyosarcoma
1/33 3%
0/171 0%
Breast Carcinoma
6/144 4%
10/3264 0%
Squamous Cell Lung Carcinoma
1/57 2%
3/810 0%
Ovarian Carcinoma
0/109 0%
5/998 0%
Cervical Carcinoma
0/35 0%
2/422 0%
Kidney Carcinoma
2/85 2%
6/1862 0%

Mutation Distribution

Where SKIDA1 is mutated · all tissues, split by cell line vs tissue

Mutation counts by tissue
Mutation Distribution

How many mutations in SKIDA1 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.

GTEx Expression

Median TPM across 54 healthy tissues

GTEx Portal ↗
About the expression data
GTEx Expression

Median gene expression (TPM) in normal, non-cancer human tissues from the GTEx project.

Useful for judging tumour specificity – a strong neoantigen target ideally comes from a gene with low expression in healthy tissues.

Scroll or drag the mini-axis below the chart to browse all tissues.

Mutations

All 827 mutations in SKIDA1

About the mutation list
Mutations

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.

IDSampleTranscriptAA Change CDSTypeSourceMutant PeptideWild-type Peptide