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TFRC
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  • TFRC
PROTEIN SUMMARY SECTION OVERVIEW RNA DATA ANTIBODY DATA
Amygdala Basal ganglia Thalamus Midbrain Pons Medulla oblongata Hippocampal formation Spinal cord White matter Cerebral cortex Cerebellum Choroid plexus Hypothalamus Retina Thyroid gland Parathyroid gland Adrenal gland Pituitary gland Lung Salivary gland Esophagus Tongue Stomach Small intestine Duodenum Rectum Colon 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 Spleen Thymus Lymph node Tonsil Appendix
TFRC INFORMATION
Proteini

Full gene name according to HGNC.

Transferrin receptor
Gene namei

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

TFRC (CD71, p90, TFR1)
Protein classi

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

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Cancer-related genes
CD markers
Disease related genes
Enzymes
FDA approved drug targets
Metabolic proteins
Plasma proteins
Transporters
Number of transcriptsi

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

4
Protein evidence Evidence at protein level (all genes)
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 section.

"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.
Cytoplasmic and membranous expression in most tissues, highly abundant in placental trophoblasts and bone marrow cells.
Subcellular location Localized to the Endosomes, Lysosomes
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.

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Intracellular, Membrane, Secreted (different isoforms)
Extracellular locationi

All genes with at least one isoform expected to be secreted to the extracellular environment have been annotated and classified either as secreted to blood or as locally secreted, depending on the predicted final location of the corresponding protein. Proteins expected to be locally secreted have been further classified according to their site of expression.

Read more
Secreted to blood
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.

Read more
Tissue enhanced (bone marrow)
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.

Read more
Neutrophils - Inflammatory response (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

Read more
Low human brain regional specificity
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.

Read more
Cell type enhanced (Syncytiotrophoblasts, Erythroid cells, monocytes)
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.

Read more
Macrophages - Innate immune response (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.

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No predicted cell type specificity
IMMUNE CELLS
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.

Read more
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.

Read more
Non-specific - Gene expression (mainly)
CANCER & CELL LINES
Prognostic summary Prognostic marker in liver cancer (unfavorable), thyroid cancer (unfavorable) and cervical cancer (unfavorable) Liver cancer p<0.001
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.

Read more
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.

Read more
Myeloma - Humoral immune response (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.

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Low cancer specificity
PROTEINS IN BLOOD
Upregulated in diseasei

A gene is classified as upregulated in a disease if the average concentration of all samples of that disease is significantly higher (adj P-value<0.05) than the average concentration of samples of all diseases as measured by PEA . For gender specific diseases the analysis includes only samples corresponding to the same gender from the other diseases.

Chronic lymphocytic leukemia, Diffuse large B-cell lymphoma, Colorectal cancer, Lung cancer
Disease prediction modeli

The disease(s) the gene is associated with and able to predict according to glmnet prediction models. To be included the gene has to be upregulated according to differential expression analysis and have more than 50% overall importance as indicated by the prediction models.

Colorectal cancer
Secretome annotationi

All genes with at least one predicted secreted isoform have been annotated and classified with the aim to determine if the corresponding protein(s) are:

  • secreted into blood
  • locally secreted
  • or actually being attached to membrane or retained in intracellular locations like mitochondria, endoplasmatic reticulum (ER), Golgi apparatus or lysosomes.

Read more
Secreted to 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.

Read more
Yes
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.

Yes
Detected in blood by
proximity extension assayi

Detection or not of the gene in blood, based on proximity extension assays (Olink) for a longitudinal wellness study covering 76 individuals with three visits during two years.

Read more
Yes
PROTEIN FUNCTION
Protein function (UniProt)i

Useful information about the protein provided by UniProt.

Cellular uptake of iron occurs via receptor-mediated endocytosis of ligand-occupied transferrin receptor into specialized endosomes 1. Endosomal acidification leads to iron release. The apotransferrin-receptor complex is then recycled to the cell surface with a return to neutral pH and the concomitant loss of affinity of apotransferrin for its receptor. Transferrin receptor is necessary for development of erythrocytes and the nervous system (By similarity). A second ligand, the heditary hemochromatosis protein HFE, competes for binding with transferrin for an overlapping C-terminal binding site. Positively regulates T and B cell proliferation through iron uptake 2. Acts as a lipid sensor that regulates mitochondrial fusion by regulating activation of the JNK pathway 3. When dietary levels of stearate (C18:0) are low, promotes activation of the JNK pathway, resulting in HUWE1-mediated ubiquitination and subsequent degradation of the mitofusin MFN2 and inhibition of mitochondrial fusion 4. When dietary levels of stearate (C18:0) are high, TFRC stearoylation inhibits activation of the JNK pathway and thus degradation of the mitofusin MFN2 5.... show less
Molecular function (UniProt)i

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

Host cell receptor for virus entry, Receptor, Transducer
Biological process (UniProt)i

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

Endocytosis, Host-virus interaction
Disease involvementi

Disease related keywords assigned by UniProt combined with Cancer-related genes and FDA approved drug targets

Read more
Cancer-related genes, Disease variant, FDA approved drug targets
Gene summary (Entrez)i

Useful information about the gene from Entrez

This gene encodes a cell surface receptor necessary for cellular iron uptake by the process of receptor-mediated endocytosis. This receptor is required for erythropoiesis and neurologic development. Multiple alternatively spliced variants have been identified. [provided by RefSeq, Sep 2015]... show less

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