NAIP

NLR family apoptosis inhibitory protein Q13075 BIRC1_HUMAN
Protein Coding Chr 5 5q13.2 Swiss-Prot reviewed Entrez 4671
Mutations
424
CL 58 · Tissue 366
Samples
136
CL 26 · Tissue 110
Peptides
101
unique mutant peptides
Transcripts
5
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
Mutations42458366
Samples13626110
Peptides1011491

Function

NAIP · NLR family apoptosis inhibitory protein

This gene is part of a 500 kb inverted duplication on chromosome 5q13. This duplicated region contains at least four genes and repetitive elements which make it prone to rearrangements and deletions. The repetitiveness and complexity of the sequence have also caused difficulty in determining the organization of this genomic region. This copy of the gene is full length; additional copies with truncations and internal deletions are also present in this region of chromosome 5q13. It is thought that this gene is a modifier of spinal muscular atrophy caused by mutations in a neighboring gene, SMN1. The protein encoded by this gene contains regions of homology to two baculovirus inhibitor of apoptosis proteins, and it is able to suppress apoptosis induced by various signals. Alternative splicing and the use of alternative promoters results in multiple transcript variants. [provided by RefSeq, Nov 2016].

Isoforms & Proteins

5 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
ENST00000517649 Q13075 142 100
ENST00000194097 Q13075 132 97
ENST00000508426 E7EQW0* 132 97
ENST00000503719 Q13075-2 9 8
ENST00000523981 Q13075-2 9 8

Gene Properties

Type
Protein Coding
Chromosome
5
Cytoband
5q13.2
Entrez ID
Aliases
BIRC1NLRB1psiNAIP

Recurrent Mutations

All 100 amino-acid changes on canonical ENST00000517649 · 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 NAIP · 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 NAIP – 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
Chronic Myelogenous Leukemia
1/25 4%
0/0 0%
Acute Myeloid Leukemia
2/90 2%
0/0 0%
Endometrial Carcinoma
2/42 5%
6/612 1%
Melanoma
3/210 1%
20/1899 1%
Non-Small Cell Lung Carcinoma
8/304 3%
10/1390 1%
Germ Cell Tumour
0/25 0%
2/169 1%
Other Sarcomas
4/69 6%
1/699 0%
Colorectal Carcinoma
2/143 1%
14/3239 0%
Osteosarcoma
0/45 0%
1/166 1%
Squamous Cell Lung Carcinoma
0/57 0%
4/810 0%
Cervical Carcinoma
0/35 0%
2/422 0%
Gastric Carcinoma
2/74 3%
6/1809 0%
Glioma
0/52 0%
7/2127 0%
Non-Cancerous
0/104 0%
3/830 0%
Bladder Carcinoma
0/58 0%
3/956 0%
Hepatocellular Carcinoma
1/46 2%
5/2210 0%
Esophageal Carcinoma
0/23 0%
2/769 0%
Other Blood Cancers
0/61 0%
5/2725 0%
Head and Neck Carcinoma
0/85 0%
3/1574 0%
Neuroendocrine Tumour
0/154 0%
1/577 0%
Prostate Carcinoma
0/13 0%
3/2105 0%
Small Cell Lung Carcinoma
0/9 0%
1/752 0%
Pancreatic Carcinoma
0/89 0%
2/1611 0%
Other Solid Cancers
0/94 0%
2/1515 0%
Biliary Tract Carcinoma
0/54 0%
1/950 0%
Neuroblastoma
0/87 0%
1/1331 0%
Thyroid Gland Carcinoma
0/45 0%
1/1592 0%
Breast Carcinoma
1/144 1%
1/3264 0%
Kidney Carcinoma
0/85 0%
1/1862 0%
Esophageal Squamous Cell Carcinoma
0/51 0%
1/2550 0%

Mutation Distribution

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

Mutation counts by tissue
Mutation Distribution

How many mutations in NAIP 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 424 mutations in NAIP

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