NDFIP2 Antibodies

NEDD4 family-interacting protein 2 (NDFIP2)

Activates HECT domain-containing E3 ubiquitin-protein ligases, such as ITCH, NEDD4, NEDD4L, SMURF2, WWP1 and WWP2, and consequently modulates the stability of the targets. Consequently, may control many cellular processes.

Recruits ITCH, NEDD4 and SMURF2 to endosomal membranes. Negatively regulates KCNH2 potassium channel activity by decreasing its cell-surface expression and interfering with station maturation through recruitment of NEDD4L to the Golgi apparatus and multivesicular body where it mediates KCNH2 degradation (PubMed:26363003).

Gene Information

Human
Gene Name:	NDFIP2
Uniprot:	Q9NV92
Entrez:	54602

Family

Belongs to:
No superfamily

Alternative Names

FLJ25842; KIAA1165N4WBP5APutative MAPK-activating protein PM04/PM05/PM06/PM07; MAPK-activating protein PM04 PM05 PM06 PM07; N4wbp5a; Nedd4 family interacting protein 2; NEDD4 family-interacting protein 2; NEDD4 WW domain-binding protein 5A; NF-kappa-B-activating protein 413; Putative NF-kappa-B-activating protein 413

Molecular Weight

Mass (kDA):
36.39 kDA

Genomic Context

Human
Location:	13q31.1
Sequence:	13; NC_000013.11 (79480722..79556077)

Tissue Specificity

Expressed in brain, lung, heart, skeletal muscle, kidney, liver and placenta.

Subcellular Localizations

Endosome membrane; Multi-pass membrane protein. Golgi apparatus membrane. Endosome, multivesicular body membrane.

Diseases

• Atresia
• Anemia
• Hypochromic Anemia
• Iron Overload
• Diabetes Mellitus
• Immunologic Deficiency Syndromes
• Iron Deficiency Anemia
• Inflammatory Disorder
• Hypertensive Disease
• Renal Hypertension

• Asthma
• Diabetes Mellitus, Insulin-dependent
• Inflammation
• Iron Deficiency
• Acute Interstitial Pneumonia

Pathways

• Transport
• Pathogenesis
• Receptor-mediated Endocytosis
• Cell Activation
• Vesicle Transport
• T Cell Activation
• Endocytosis
• Neuron Development
• Ovulation
• Sexual Reproduction

• Oocyte Development
• Cytoplasmic Transport
• Biological Regulation
• Cell Differentiation
• Excretion

PTMs

• Ubiquitination

• Phosphorylation

For details, visit:
bosterbio.com/bosterbio-gene-info-cards/NDFIP2

Best Uses Of The NDFIP2 Marker

This biographical article examines Steven Boster’s contributions towards disease ontology. We also highlight his recent multi-omics work. Throughout the article, you'll learn about some of Steven's other research projects. We encourage you to read the entire article if you want to know more about Boster.

History of Steven Boster

After a long battle, Don "Steve" Boster was able to pass away in Madison WI on 26 June 2022. He was born in Joliet IL, the son of Donald Sr. & Evelyn Meier. He was also a Concordia Hall Member in Staunton.

Steve's life was centered around his family, friends and community. He loved to sing in his lower register in front of the family and friends. He was also a huge sports fan, especially auto-racing, and would respond immediately if his car had broken down at two in morning. Even in below-freezing temperatures, he always showed up to appointments. His generosity extended to his family, and he treated them as if they were family.

His contributions to bioinformatics

Professor Terry Speed was recently elected to the Royal Society, the UK's national academy of science. This honor recognizes the contributions of an individual to bioinformatics. Bioinformatics is the application mathematics to biological problems. The Royal Society elected 44 new fellows, including four Australians. Fellows, who are chosen by current fellows, are responsible for encouraging excellence in science. In addition to Schnase's accomplishments in bioinformatics, he also developed and implemented the geno2pheno system.

His work helped to create novel medicines and better materials. Lengauer was a member of Leopoldina's German National Academy of Sciences Leopoldina and has received many honors. These include membership in the Presidium, the Karl Heinz Beckurts prize, and the Konrad Zuse Medal. In addition, he has received several awards, including the Hector Science Prize and the Konrad Zuse Medal.

Bioinformatics is a rapidly growing academic discipline. It is a broad field that involves many approaches, including the development tools, methodologies, as well as services. The process of bioinformatics entails the application of knowledge, skill, and technology, and has been characterized by a plethora of organisational alignments and disciplinary connections. Bioinformatics is an amalgamation of methods and techniques, a collection and an academic discipline.

Modern biology relies on molecular DNA sequencing. Researchers can identify the sequence of a protein to determine its function and structure. They can also link this information to the gene that encodes the protein. Previously, these sequences were assembled on paper. Methods were developed to manipulate molecular structures as computers became more powerful. These advances opened a whole new area of bioinformatics research centered around protein structure and function.

His work on multi-omics and disease ontology

Hippocrates' responsibilities still apply today in the age multi-omics. They include diagnosing and treating diseases, as well as characterizing patients. The Human Genome Project and the rise of biotechnology companies have made rapid progress in multi-omics approaches to disease ontology. The multi-omics approach allows for comprehensive characterization of patients across various biological systems, including inherited metabolic disorders, which are caused by defects in metabolism and lack of energy or building blocks. These diseases also produce a wide range toxic metabolites including nitrogen and carbon dioxide.

The multi-omics approach to health and disease is based on a wealth of biological data, including the genome, proteome, transcriptome, metabolome, epigenome, and transcriptome. The resulting data gives a complete view of biological condition and may help to tailor treatment for diseases. However, this approach requires further development such as systematization or classification. However, multi-omics studies have shown promising results.

His research on reproducibility was a result of his efforts

Researchers are constantly pushing the limits of knowledge and developing new biological concepts. Preclinical studies show a very low rate of reproducibility, with some cases as low at 30%. Reproducibility rates in preclinical studies are essential for the development and implementation of new therapeutic approaches. These studies are expensive as unsuccessful attempts at applying results can lead to ineffective results. Reproducibility rates are crucial in cancer biology research.