GO:0016772 transferase activity, transferring phosphorus-containing groups: Mechanism, Genes and Research Methods
Research-grade guide for scientists and biopharma professionals
Key Takeaways
• GO:0016772 describes the molecular function of catalyzing the transfer of a phosphorus-containing group from a donor to an acceptor, a reaction central to phosphorylation, nucleotide synthesis, and signal transduction.
• Kinases are the largest family of enzymes annotated to this term, and their dysregulation is a hallmark of cancer, metabolic disorders, and developmental diseases [1,3].
• Bioinformatics and next-generation sequencing studies have identified multiple kinases and phosphorus-transferring enzymes as molecular markers in pancreatic ductal adenocarcinoma and obesity-associated type 2 diabetes mellitus [1,3].
• Sperm RNA profiling during sexual maturation in boars has revealed dynamic expression of genes encoding phosphorus-transferring enzymes, linking this activity to reproductive biology.
• CRISPR knockout, point-mutation, knock-in, and overexpression models enable causal interrogation of individual transferase genes in disease-relevant cell types [1,3].
• High-throughput CRISPR library screening combined with bioinformatics can systematically map transferase dependencies and identify therapeutic targets [1,3].
Description
GO:0016772, transferase activity, transferring phosphorus-containing groups, is a molecular function ontology term that captures a fundamental enzymatic activity: the transfer of a phosphorus-containing group from one compound (donor) to another (acceptor). This activity is essential for countless cellular processes, including energy metabolism, nucleic acid synthesis, protein phosphorylation, and signal transduction [1,3]. Enzymes annotated with this term include kinases, phosphotransferases, and nucleotidyltransferases, which collectively regulate nearly every aspect of cell physiology. In cancer and metabolic diseases, dysregulated phosphorus-transferring enzymes contribute to aberrant signaling, uncontrolled proliferation, and metabolic reprogramming [1,3]. For researchers, understanding GO:0016772 is therefore critical for interpreting genomic and proteomic data, designing functional experiments, and identifying therapeutic targets [1,3]. Recent bioinformatics and next-generation sequencing studies have highlighted specific genes within this ontology term as molecular markers in pancreatic ductal adenocarcinoma and obesity-associated type 2 diabetes mellitus [1,3]. Additionally, sperm RNA landscape analyses during sexual maturation in Duroc boars have revealed dynamic expression of phosphorus-transferring enzymes, underscoring the broad biological relevance of this activity.
transferase activity, transferring phosphorus-containing groups At A Glance
| GO ID | GO:0016772 |
|---|---|
| GO term | transferase activity, transferring phosphorus-containing groups |
| Ontology | molecular_function |
| Synonym | None |
| Definition | Catalysis of the transfer of a phosphorus-containing group from one compound (donor) to another (acceptor). |
| Major function | Phosphorus group transfer in phosphorylation, nucleotide synthesis, and signal transduction. |
| Representative enzymes | Kinases, phosphotransferases, nucleotidyltransferases. |
| Disease relevance | Cancer, type 2 diabetes mellitus, metabolic disorders, reproductive biology. |
| Research methods | CRISPR knockout, point mutation, knock-in, overexpression, CRISPR library screening, bioinformatics. |
What Is GO:0016772?
In simple terms, GO:0016772 describes enzymes that move a phosphorus-containing group from one molecule to another. The official QuickGO definition states: Catalysis of the transfer of a phosphorus-containing group from one compound (donor) to another (acceptor). This activity is fundamental to phosphorylation, phosphotransfer, and nucleotide metabolism, and it is carried out by a diverse array of enzymes including kinases, phosphotransferases, and nucleotidyltransferases.
Why Is transferase activity, transferring phosphorus-containing groups Important in Cell Biology?
GO:0016772 is important because phosphorus-transferring enzymes control the phosphorylation state of proteins, lipids, and nucleotides, thereby regulating cell growth, metabolism, differentiation, and death [1,3]. Dysregulation of these enzymes is causally linked to major human diseases, including pancreatic ductal adenocarcinoma and obesity-associated type 2 diabetes mellitus [1,3]. Moreover, the expression of genes encoding phosphorus-transferring enzymes changes dynamically during physiological processes such as sperm maturation, highlighting their role in reproduction. For biomedical researchers, this GO term provides a framework to systematically study enzyme function, identify disease biomarkers, and develop targeted therapies [1,3].
• Phosphorus group transfer is essential for ATP synthesis and energy homeostasis.
• Kinases within GO:0016772 regulate signal transduction pathways that control cell proliferation and survival.
• Dysregulated phosphorus-transferring enzymes are implicated in pancreatic ductal adenocarcinoma.
• Obesity-associated type 2 diabetes mellitus involves altered expression of genes annotated to this term.
• Sperm RNA dynamics during sexual maturation in boars include phosphorus-transferring enzymes.
• CRISPR-based models allow causal testing of individual transferase genes in disease contexts [1,3].
• High-throughput screening can identify selective inhibitors of phosphorus-transferring enzymes.
• Bioinformatics analysis of next-generation sequencing data reveals molecular markers within this ontology [1,3].
• Understanding this term aids in interpreting phosphoproteomic datasets.
• Therapeutic targeting of phosphorus-transferring enzymes is an active area of drug discovery [1,3].
Molecular Mechanism of transferase activity, transferring phosphorus-containing groups
Substrate Recognition and Binding
In simple terms: The enzyme first grabs the donor molecule that carries the phosphorus group.
Enzymes with GO:0016772 activity typically bind a donor substrate such as ATP, GTP, or a phosphorylated protein, and an acceptor substrate such as a protein, lipid, or nucleotide. The binding specificity is determined by the enzyme's active site architecture, which positions the phosphorus-containing group for transfer. Bioinformatics analyses of kinase families have revealed conserved motifs that mediate donor and acceptor recognition.
Catalytic Transfer of the Phosphorus Group
In simple terms: The enzyme then moves the phosphorus group from the donor to the acceptor.
The catalytic step involves the nucleophilic attack of the acceptor on the phosphorus atom of the donor, often facilitated by divalent metal ions such as Mg2+ or Mn2+. This results in the transfer of a phosphoryl, phosphonyl, or phospho group to the acceptor, forming a new phosphoester or phosphoanhydride bond. Kinases and phosphotransferases utilize this mechanism to phosphorylate proteins, lipids, and nucleotides.
Cofactors and Energy Coupling
In simple terms: Many of these enzymes need helper molecules and energy to work.
Most phosphorus-transferring enzymes require divalent cations for catalysis, and some couple the transfer to ATP hydrolysis. The energy released from donor molecules such as ATP drives the reaction forward, ensuring efficient phosphorylation of acceptors. In metabolic pathways, these enzymes help maintain nucleotide pools and energy balance.
Regulation of Enzyme Activity
In simple terms: The activity of these enzymes is turned on or off by various signals.
Phosphorus-transferring enzymes are regulated by phosphorylation themselves, by binding of regulatory subunits, and by second messengers such as cAMP and calcium. Dysregulation of these control mechanisms can lead to constitutive activation of signaling pathways in cancer. In obesity-associated type 2 diabetes mellitus, altered expression of genes in this ontology contributes to metabolic dysfunction.
Integration into Cellular Networks
In simple terms: These enzymes are part of larger communication networks inside cells.
Phosphorus-transferring enzymes participate in signaling cascades, metabolic pathways, and nucleic acid metabolism [1,3]. Their activity is integrated with other post-translational modifications to fine-tune cellular responses. In sperm maturation, dynamic changes in RNA levels of these enzymes suggest roles in reproductive processes.
Key Genes Involved in GO:0016772 transferase activity, transferring phosphorus-containing groups
The following genes encode enzymes with transferase activity, transferring phosphorus-containing groups, and have been implicated in human disease or reproductive biology through bioinformatics and next-generation sequencing studies [1,2,3].
| Gene | Major Role | Research Relevance |
|---|---|---|
| AKT1 | Serine/threonine kinase in PI3K/AKT signaling | Oncogene in pancreatic cancer and metabolic disorders |
| MAPK1 | Mitogen-activated protein kinase | Regulates proliferation and survival; drug target |
| EGFR | Receptor tyrosine kinase | Overexpressed in pancreatic ductal adenocarcinoma |
| INSR | Insulin receptor kinase | Key mediator of insulin signaling in type 2 diabetes |
| PIK3CA | Phosphatidylinositol 4,5-bisphosphate 3-kinase | Frequently mutated in cancers |
| JAK2 | Janus kinase 2 | Cytokine signaling; implicated in myeloproliferative disorders |
| SRC | Non-receptor tyrosine kinase | Regulates cell adhesion and proliferation |
| CDK1 | Cyclin-dependent kinase 1 | Cell cycle progression; cancer target |
| PRKACA | cAMP-dependent protein kinase catalytic subunit alpha | Metabolic regulation; diabetes link |
| GSK3B | Glycogen synthase kinase 3 beta | Insulin signaling and neurodegeneration |
| CAMK2A | Calcium/calmodulin-dependent protein kinase II alpha | Sperm motility and maturation |
| PRKAR1A | cAMP-dependent protein kinase type I-alpha regulatory subunit | Endocrine and metabolic disorders |
| NME1 | Nucleoside diphosphate kinase 1 | Metastasis suppressor; nucleotide metabolism |
| PFKM | Phosphofructokinase, muscle | Glycolysis; energy metabolism |
| HK2 | Hexokinase 2 | Glycolysis; upregulated in cancer |
| PKM | Pyruvate kinase M1/2 | Warburg effect; cancer metabolism |
| ADCY1 | Adenylate cyclase 1 | cAMP signaling; reproductive biology |
| ATP1A1 | Na+/K+-ATPase alpha 1 | Ion transport; phosphorylated intermediate |
How Is transferase activity, transferring phosphorus-containing groups Regulated?
The activity of enzymes with GO:0016772 is regulated at multiple levels. Phosphorylation of the enzymes themselves by upstream kinases can activate or inhibit their function. Second messengers such as cAMP and calcium modulate the activity of specific kinases. In metabolic tissues, insulin signaling regulates the expression and activity of phosphorus-transferring enzymes, and dysregulation contributes to type 2 diabetes mellitus. During sperm maturation, RNA levels of these enzymes change dynamically, suggesting transcriptional and post-transcriptional regulation. Additionally, bioinformatics analyses have identified microRNAs and transcription factors that may regulate these genes in pancreatic cancer.
transferase activity, transferring phosphorus-containing groups and Human Disease
| Gene | Disease / Biology | Potential Experimental Model |
|---|---|---|
| AKT1 | Pancreatic ductal adenocarcinoma | Knockout and point-mutation in pancreatic cancer cell lines |
| EGFR | Pancreatic ductal adenocarcinoma | Overexpression and knockout in PDAC models |
| INSR | Obesity-associated type 2 diabetes mellitus | Knock-in of patient mutations in adipocytes |
| PRKACA | Obesity-associated type 2 diabetes mellitus | Knockout in hepatocytes and beta cells |
| CAMK2A | Sperm maturation and motility | Knockout in boar sperm models |
Pancreatic Ductal Adenocarcinoma
Bioinformatics and next-generation sequencing analyses have identified multiple genes with transferase activity, transferring phosphorus-containing groups, as molecular markers in pancreatic ductal adenocarcinoma. These include kinases such as AKT1, MAPK1, and EGFR, which drive proliferation and survival signaling. Their overexpression or mutation contributes to tumor progression and poor prognosis.
Obesity-Associated Type 2 Diabetes Mellitus
Candidate gene and mechanism studies using bioinformatics have linked phosphorus-transferring enzymes, including INSR, PRKACA, and GSK3B, to obesity-associated type 2 diabetes mellitus. Dysregulation of these enzymes impairs insulin signaling and glucose homeostasis. Small drug molecules targeting these enzymes have been screened as potential therapeutics.
Reproductive Biology and Sperm Maturation
Sperm RNA landscape analysis during sexual maturation in Duroc boars revealed dynamic expression of genes encoding phosphorus-transferring enzymes, such as CAMK2A and ADCY1. These enzymes are likely involved in sperm motility, capacitation, and fertilization. This highlights the importance of GO:0016772 in male fertility research.
From transferase activity, transferring phosphorus-containing groups-Related Genes to Experimental Models
| Research Question | Suitable Model |
|---|---|
| Does loss of AKT1 affect pancreatic cancer cell proliferation? | CRISPR knockout in PDAC cell lines |
| Does a specific point mutation in INSR alter insulin signaling? | CRISPR point mutation in adipocytes |
| Can wild-type PRKACA rescue metabolic defects? | CRISPR knock-in of wild-type allele |
| Does overexpression of EGFR drive tumor growth? | CRISPR overexpression in pancreatic organoids |
| Which phosphorus-transferring enzymes are essential for sperm motility? | CRISPR knockout in sperm cells |
| Can a tagged kinase be used to map interactors? | Tagged knock-in of endogenous locus |
How to Study the transferase activity, transferring phosphorus-containing groups Process
| Method | What It Measures | Typical Application |
|---|---|---|
| RNA sequencing | Gene expression levels | Identifying differentially expressed transferases in disease [1,3] |
| CRISPR knockout | Loss-of-function phenotype | Testing essentiality of transferase genes |
| CRISPR point mutation | Effect of specific amino acid changes | Modeling patient mutations in kinases |
| CRISPR knock-in | Expression of tagged or mutant protein | Studying localization and interactions |
| CRISPR overexpression | Gain-of-function phenotype | Assessing oncogenic potential |
| Phosphoproteomics | Phosphorylation sites and levels | Mapping signaling networks |
| Small molecule screening | Enzyme inhibition and cellular effects | Drug discovery for diabetes and cancer |
| Sperm RNA profiling | Transcript levels during maturation | Reproductive biology studies |
Bioinformatics and Next-Generation Sequencing
Bioinformatics analysis of next-generation sequencing data enables identification of differentially expressed genes and molecular markers within GO:0016772 [1,3]. This approach has been used to pinpoint kinases and phosphatases in pancreatic cancer and diabetes [1,3]. Integration with interaction networks reveals hub genes and pathways.
CRISPR-Based Functional Genomics
CRISPR knockout, point mutation, knock-in, and overexpression models allow causal testing of individual transferase genes [1,3]. High-throughput CRISPR library screening can systematically assess the contribution of each gene to disease phenotypes. These methods are essential for validating bioinformatics predictions [1,3].
Transcriptomic and Proteomic Profiling
RNA sequencing and mass spectrometry-based proteomics measure the expression and phosphorylation status of phosphorus-transferring enzymes [1,3]. Sperm RNA landscape analysis is an example of transcriptomic profiling in reproductive biology. Phosphoproteomics can identify downstream targets of these enzymes.
Small Molecule Screening
Screening of small drug molecules against phosphorus-transferring enzymes can identify inhibitors with therapeutic potential. This approach has been applied to obesity-associated type 2 diabetes mellitus. Coupled with CRISPR models, it enables target validation [1,3].
How CRISPR Can Be Used to Study GO:0016772 transferase activity, transferring phosphorus-containing groups
Knockout
CRISPR knockout of genes encoding phosphorus-transferring enzymes allows researchers to determine their essentiality in disease models. For example, knocking out AKT1 in pancreatic cancer cells can reveal its role in proliferation and survival. Knockout of INSR in adipocytes can model insulin resistance.
Point Mutation
CRISPR point mutation introduces specific amino acid substitutions to mimic patient mutations or to abrogate catalytic activity. This is particularly useful for studying kinase domain mutations in INSR or AKT1 [1,3]. It enables precise structure-function analysis.
Knock-in
CRISPR knock-in can insert tags, reporters, or wild-type alleles at endogenous loci. Tagged knock-in of kinases facilitates interaction proteomics and live-cell imaging. Knock-in of wild-type PRKACA can rescue metabolic defects in diabetes models.
Overexpression
CRISPR overexpression via safe-harbor integration or inducible promoters enables gain-of-function studies. Overexpression of EGFR in pancreatic organoids can drive tumorigenic phenotypes. This approach complements knockout studies to establish causality [1,3].
How EDITGENE Supports transferase activity, transferring phosphorus-containing groups Research
Researchers studying transferase activity, transferring phosphorus-containing groups-related genes often need to determine whether a candidate gene is causally involved in a specific disease or biological process. EDITGENE provides a comprehensive suite of CRISPR-based services to accelerate this discovery process, from knockout and point mutation to knock-in, overexpression, and high-throughput library screening.
Contact EDITGENE today to design your custom CRISPR model for transferase activity, transferring phosphorus-containing groups research.
Frequently Asked Questions About transferase activity, transferring phosphorus-containing groups
What is GO:0016772?
GO:0016772 is a Gene Ontology molecular function term for transferase activity, transferring phosphorus-containing groups, defined as catalysis of the transfer of a phosphorus-containing group from one compound (donor) to another (acceptor).
What genes are involved in transferase activity, transferring phosphorus-containing groups?
Genes include AKT1, MAPK1, EGFR, INSR, PIK3CA, JAK2, SRC, CDK1, PRKACA, GSK3B, CAMK2A, and many others encoding kinases and phosphotransferases [1,2,3].
How is transferase activity, transferring phosphorus-containing groups related to cancer?
Dysregulated kinases such as AKT1 and EGFR drive proliferation and survival in pancreatic ductal adenocarcinoma and other cancers.
What diseases are associated with GO:0016772?
Pancreatic ductal adenocarcinoma, obesity-associated type 2 diabetes mellitus, and reproductive disorders have been linked to enzymes in this ontology [1,2,3].
How can I study transferase activity, transferring phosphorus-containing groups using CRISPR?
CRISPR knockout, point mutation, knock-in, and overexpression models allow functional interrogation of individual genes in this ontology [1,3].
What methods are used to analyze phosphorus-transferring enzymes?
RNA sequencing, phosphoproteomics, CRISPR screening, and bioinformatics are commonly used [1,2,3].
Is GO:0016772 a molecular function or biological process?
It is a molecular_function term in the Gene Ontology.
What are the synonyms for GO:0016772?
There are no synonyms listed for this term in QuickGO.
How does transferase activity, transferring phosphorus-containing groups affect sperm maturation?
Sperm RNA profiling in boars revealed dynamic expression of genes such as CAMK2A and ADCY1, suggesting roles in motility and capacitation.
Can EDITGENE help with CRISPR models for GO:0016772 genes?
Yes, EDITGENE provides knockout, point mutation, knock-in, overexpression, library screening, and bioinformatics services for any gene in this ontology [1,3].
Conclusion
GO:0016772, transferase activity, transferring phosphorus-containing groups, represents a fundamental enzymatic function that underpins phosphorylation, signal transduction, and metabolism. Its dysregulation is implicated in pancreatic cancer, type 2 diabetes, and reproductive biology, making it a rich area for therapeutic targeting [1,2,3]. CRISPR-based models and bioinformatics approaches are indispensable for dissecting the roles of individual enzymes within this ontology. EDITGENE offers a full suite of services to support researchers in this endeavor, from knockout to high-throughput screening.
References
- 1. Giriyappagoudar M et al.. 2023. Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Bioinformatics and Next-Generation Sequencing Data Analysis.. Bioinform Biol Insights 17:11779322231186719 PMID: 37529485
- 2. Shrestha A et al.. 2026. Sperm RNA landscape during sexual maturation in Duroc boars.. BMC Genomics 27(1):197 PMID: 41566433
- 3. Prashanth G et al.. 2021. Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules.. BMC Endocr Disord 21(1):80 PMID: 33902539
