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ZBTB7B
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  • SUMMARY

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  • ZBTB7B
PROTEIN SUMMARY GENE INFORMATION RNA DATA ANTIBODY DATA
Hippocampal formation Amygdala Basal ganglia Midbrain Spinal cord Cerebral cortex Cerebellum Hypothalamus Choroid plexus Retina Thyroid gland Parathyroid gland Adrenal gland Pituitary gland Lung Salivary gland Esophagus Tongue Stomach Rectum Colon Duodenum Small intestine Liver Gallbladder Pancreas Kidney Urinary bladder Testis Epididymis Prostate Seminal vesicle Vagina Breast Cervix Endometrium Fallopian tube Ovary Placenta Heart muscle Skeletal muscle Smooth muscle Adipose tissue Skin Bone marrow Thymus Tonsil Lymph node Appendix Spleen
ZBTB7B INFORMATION
Proteini

Full gene name according to HGNC.

Zinc finger and BTB domain containing 7B
Gene namei

Official gene symbol, which is typically a short form of the gene name, according to HGNC.

ZBTB7B (c-Krox, hcKrox, ZBTB15, ZFP67, ZNF857B)
Protein classi

Assigned HPA protein class(es) for the encoded protein(s).

Transcription factors
Protein evidence Evidence at protein level (all genes)
Number of transcriptsi

Number of protein-coding transcripts from the gene as defined by Ensembl.

4
Protein interactions Interacting with 11 proteins
PROTEIN EXPRESSION AND LOCALIZATION
Tissue profilei

A summary of the overall protein expression profile across the analyzed normal tissues based on knowledge-based annotation, presented in the Tissue resource.

"Estimation of protein expression could not be performed. View primary data." is shown for genes where available RNA-seq and gene/protein characterization data in combination with immunohistochemistry data has been evaluated as not sufficient to yield a reliable estimation of the protein expression profile.
Nuclear expression in most tissues.
Subcellular locationi

Main subcellular location based on data generated in the subcellular section of the Human Protein Atlas.

Localized to the Nucleoplasm
Predicted locationi

All transcripts of all genes have been analyzed regarding the location(s) of corresponding protein based on prediction methods for signal peptides and transmembrane regions.

  • Genes with at least one transcript predicted to encode a secreted protein, according to prediction methods or to UniProt location data, have been further annotated and classified with the aim to determine if the corresponding protein(s) are secreted or actually retained in intracellular locations or membrane-attached.

  • Remaining genes, with no transcript predicted to encode a secreted protein, will be assigned the prediction-based location(s).

The annotated location overrules the predicted location, so that a gene encoding a predicted secreted protein that has been annotated as intracellular will have intracellular as the final location.

Intracellular
TISSUE RNA EXPRESSION
Tissue specificityi

The RNA specificity category is based on normalized mRNA expression levels in the consensus dataset, calculated from the RNA expression levels in samples from HPA and GTEX. The categories include: tissue enriched, group enriched, tissue enhanced, low tissue specificity and not detected.

Low tissue specificity
Tissue expression clusteri

The RNA data was used to cluster genes according to their expression across tissues. Clusters contain genes that have similar expression patterns, and each cluster has been manually annotated to describe common features in terms of function and specificity.

Skin - Cornification (mainly)
Brain specificityi

The regional specificity category is based on mRNA expression levels in the analysed brain samples, grouped into 13 main brain regions and calculated for the three different species. All brain expression profiles are based on data from HPA. The specificity categories include: regionally enriched, group enriched, regionally enhanced, low regional specificity and not detected. The classification rules are the same used for the tissue specificity category

Low human brain regional specificity
Brain expression clusteri

The RNA data was used to cluster genes according to their expression across tissues. Clusters contain genes that have similar expression patterns, and each cluster has been manually annotated to describe common features in terms of function and specificity.

Non-specific - Immune response (mainly)
CELL TYPE RNA EXPRESSION
Single cell type specificityi

The RNA specificity category is based on mRNA expression levels in the analyzed cell types based on scRNA-seq data from normal tissues. The categories include: cell type enriched, group enriched, cell type enhanced, low cell type specificity and not detected.

Cell type enhanced (Proximal enterocytes, Distal enterocytes)
Single cell type
expression clusteri

The RNA data was used to cluster genes according to their expression across single cell types. Clusters contain genes that have similar expression patterns, and each cluster has been manually annotated to describe common features in terms of function and specificity.

Enterocytes - Absorption (mainly)
Tissue cell type classificationi

Genes can have enriched specificity in different cell types in one or several tissues, or be enriched in a core cell type that appears in many different tissues.

Cell type enriched (Adipose subcutaneous - Adipocytes (Subcutaneous), Adipose visceral - Adipocytes (Visceral), Breast - Breast glandular cells, Skin - Keratinocyte (granular), Spleen - Neutrophils)
Immune cell specificityi

The RNA specificity category is based on mRNA expression levels in the analyzed samples based on data from HPA. The categories include: cell type enriched, group enriched, cell type enhanced, low cell type specificity and not detected.

Low immune cell specificity
Immune cell
expression clusteri

The RNA data was used to cluster genes according to their expression across single cell types. Clusters contain genes that have similar expression patterns, and each cluster has been manually annotated to describe common features in terms of function and specificity.

Non-specific - Innate immune response (mainly)
CANCER & CELL LINES
Prognostic summary ZBTB7B is a prognostic marker in Kidney renal clear cell carcinoma
Cancer specificityi

Specificity of RNA expression in 17 cancer types is categorized as either cancer enriched, group enriched, cancer enhanced, low cancer specificity and not detected.

Low cancer specificity
Cell line
expression clusteri

The RNA data was used to cluster genes according to their expression across cell lines. Clusters contain genes that have similar expression patterns, and each cluster has been manually annotated to describe common features in terms of function and specificity.

Non-specific - Nuclear processes (mainly)
Cell line specificityi

RNA specificity category based on RNA sequencing data from cancer cell lines in the Human Protein Atlas grouped according to type of cancer. Genes are classified into six different categories (enriched, group enriched, enhanced, low specificity and not detected) according to their RNA expression levels across the panel of cell lines.

Low cancer specificity
PROTEINS IN BLOOD
Detected in blood by
immunoassayi

The blood-based immunoassay category applies to actively secreted proteins and is based on plasma or serum protein concentrations established with enzyme-linked immunosorbent assays, compiled from a literature search. The categories include: detected and not detected, where detection refers to a concentration found in the literature search.

No (not applicable)
Detected in blood by
mass spectrometryi

Detection or not of the gene in blood, based on spectral count estimations from a publicly available mass spectrometry-based plasma proteomics data set obtained from the PeptideAtlas.

No
Proximity extension assayi

Detectibility in blood, based on proximity extension assays (Olink) for a longitudinal wellness study covering 76 individuals with six visits during two years.

Read more
Data available (Low detectability)
PROTEIN FUNCTION
Protein function (UniProt)i

Useful information about the protein provided by UniProt.

Transcription regulator that acts as a key regulator of lineage commitment of immature T-cell precursors. Exerts distinct biological functions in the mammary epithelial cells and T cells in a tissue-specific manner. Necessary and sufficient for commitment of CD4 lineage, while its absence causes CD8 commitment. Development of immature T-cell precursors (thymocytes) to either the CD4 helper or CD8 killer T-cell lineages correlates precisely with their T-cell receptor specificity for major histocompatibility complex class II or class I molecules, respectively. Cross-antagonism between ZBTB7B and CBF complexes are determinative to CD4 versus CD8 cell fate decision. Suppresses RUNX3 expression and imposes CD4+ lineage fate by inducing the SOCS suppressors of cytokine signaling. induces, as a transcriptional activator, SOCS genes expression which represses RUNX3 expression and promotes the CD4+ lineage fate. During CD4 lineage commitment, associates with multiple sites at the CD8 locus, acting as a negative regulator of the CD8 promoter and enhancers by epigenetic silencing through the recruitment of class II histone deacetylases, such as HDAC4 and HDAC5, to these loci. Regulates the development of IL17-producing CD1d-restricted naural killer (NK) T cells. Also functions as an important metabolic regulator in the lactating mammary glands. Critical feed-forward regulator of insulin signaling in mammary gland lactation, directly regulates expression of insulin receptor substrate-1 (IRS-1) and insulin-induced Akt-mTOR-SREBP signaling (By similarity). Transcriptional repressor of the collagen COL1A1 and COL1A2 genes. May also function as a repressor of fibronectin and possibly other extracellular matrix genes 1. Potent driver of brown fat development, thermogenesis and cold-induced beige fat formation. Recruits the brown fat lncRNA 1 (Blnc1):HNRNPU ribonucleoprotein complex to activate thermogenic gene expression in brown and beige adipocytes (By similarity).... show less
Molecular function (UniProt)i

Keywords assigned by UniProt to proteins due to their particular molecular function.

Developmental protein, DNA-binding, Repressor
Biological process (UniProt)i

Keywords assigned by UniProt to proteins because they are involved in a particular biological process.

Differentiation, Transcription, Transcription regulation
Ligand (UniProt)i

Keywords assigned by UniProt to proteins because they bind, are associated with, or whose activity is dependent of some molecule.

Metal-binding, Zinc
Gene summary (Entrez)i

Useful information about the gene from Entrez

This gene encodes a zinc finger-containing transcription factor that acts as a key regulator of lineage commitment of immature T-cell precursors. It is necessary and sufficient for commitment of CD4 lineage, while its absence causes CD8 commitment. It also functions as a transcriptional repressor of type I collagen genes. Alternatively spliced transcript variants have been found for this gene. [provided by RefSeq, Jan 2012]... show less

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