SEMA4C

Semaphorin 4C Q9C0C4 SEM4C_HUMAN
Protein Coding Chr 2 2q11.2 Swiss-Prot reviewed Entrez 54910
Mutations
439
CL 91 · Tissue 341
Samples
416
CL 86 · Tissue 323
Peptides
311
unique mutant peptides
Transcripts
1
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
Mutations43991341
Samples41686323
Peptides31161260

Function

SEMA4C · Semaphorin 4C

Predicted to enable chemorepellent activity and semaphorin receptor binding activity. Involved in muscle cell differentiation and positive regulation of stress-activated MAPK cascade. Located in extracellular space. [provided by Alliance of Genome Resources, Apr 2022]

Isoforms & Proteins

1 transcript · 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
ENST00000305476 Q9C0C4 439 311

Gene Properties

Type
Protein Coding
Chromosome
2
Cytoband
2q11.2
Entrez ID
Aliases
M-SEMA-FSEMACL1SEMAFSEMAI

Recurrent Mutations

All 310 amino-acid changes on canonical ENST00000305476 · 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 SEMA4C · 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 SEMA4C – 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
5/40 12%
0/0 0%
Endometrial Carcinoma
4/42 10%
20/612 3%
Cervical Carcinoma
7/35 20%
5/422 1%
Unknown
0/10 0%
1/29 3%
Melanoma
9/210 4%
37/1899 2%
Colorectal Carcinoma
19/143 13%
54/3239 2%
Gastric Carcinoma
2/74 3%
28/1809 2%
Hodgkins Lymphoma
0/16 0%
2/122 2%
Squamous Cell Lung Carcinoma
1/57 2%
9/810 1%
Non-Cancerous
0/104 0%
10/830 1%
Non-Small Cell Lung Carcinoma
6/304 2%
11/1390 1%
Ovarian Carcinoma
6/109 6%
5/998 0%
Burkitts Lymphoma
2/32 6%
0/196 0%
Adrenocortical Carcinoma
0/3 0%
1/112 1%
Neuroendocrine Tumour
4/154 3%
2/577 0%
Gastrointestinal Stromal Tumour
0/0 0%
1/133 1%
Head and Neck Carcinoma
2/85 2%
10/1574 1%
Biliary Tract Carcinoma
0/54 0%
7/950 1%
Esophageal Squamous Cell Carcinoma
2/51 4%
16/2550 1%
Bladder Carcinoma
0/58 0%
7/956 1%
Glioma
1/52 2%
14/2127 1%
Prostate Carcinoma
0/13 0%
14/2105 1%
Esophageal Carcinoma
0/23 0%
5/769 1%
Plasma Cell Myeloma
0/44 0%
2/305 1%
Hepatocellular Carcinoma
2/46 4%
10/2210 0%
Pancreatic Carcinoma
0/89 0%
9/1611 1%
Small Cell Lung Carcinoma
2/9 22%
2/752 0%
Germ Cell Tumour
0/25 0%
1/169 1%
Osteosarcoma
0/45 0%
1/166 1%
Mesothelioma
1/62 2%
0/165 0%

Mutation Distribution

Where SEMA4C is mutated · all tissues, split by cell line vs tissue

Mutation counts by tissue
Mutation Distribution

How many mutations in SEMA4C 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 439 mutations in SEMA4C

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