NUDT10 (Nudix hydrolase 10) is a manganese-dependent polyphosphate phosphohydrolase belonging to the Nudix hydrolase family. It catalyzes the hydrolysis of nucleoside diphosphate derivatives, specifically targeting diadenosine-polyphosphates (e.g., Ap6A, Ap5A) and diphosphoinositol polyphosphates (e.g., PP-InsP5) . The enzyme is critical for regulating cellular metabolism, signaling, and stress response pathways.
NUDT10 preferentially hydrolyzes:
Signal Transduction: Hydrolyzes PP-InsP5, a signaling molecule in inositol phosphate metabolism .
Stress Response: Maintains cellular homeostasis by degrading toxic nucleotide derivatives .
Essentiality: Knockdown of NUDT10 (and NUDT11) causes lethality in lung, breast, and colon cancer cell lines (A549, MCF7, SW480) .
Cell Cycle Impact: Depletion induces sub-G1 accumulation (cell death) or G2/M arrest in cancer cells .
Tissue/Cell Line | Expression Level | Source |
---|---|---|
Testis | High | |
Brain | Moderate | |
Cancer Cells | Elevated in A549, MCF7, SW480 |
Partner | Functional Role | Confidence |
---|---|---|
AIRE | Autoimmune regulator (thymic self-tolerance) | 0.839 |
TOR1A | Synaptic vesicle recycling, nuclear polarity | 0.774 |
NUDT11 | Diphosphoinositol polyphosphate hydrolysis | 0.706 |
MICB | Stress-induced ligand for NKG2D receptor | 0.666 |
Data derived from STRING interaction network analysis .
Cancer Dependency: NUDT10 depletion reduces viability in multiple cancer types, suggesting therapeutic potential .
Structural Redundancy: Shares sequence similarity with NUDT11, complicating siRNA specificity .
Substrate Overlap: Limited redundancy with other Nudix hydrolases (e.g., NUDT2, NUDT5) .
Diphosphoinositol polyphosphate phosphohydrolase 3-alpha, DIPP-3-alpha, DIPP3-alpha, hDIPP3alpha, Diadenosine 5',5'''-P1,P6-hexaphosphate hydrolase 3-alpha, Nucleoside diphosphate-linked moiety X motif 10, Nudix motif 10, hAps2, NUDT10, APS2, DIPP3A.
MKCKPNQTRT YDPEGFKKRA ACLCFRSERE DEVLLVSSSR YPDRWIVPGG GMEPEEEPGG AAVREVYEEA GVKGKLGRLL GVFEQNQDPK HRTYVYVLTV TELLEDWEDS VSIGRKREWF KVEDAIKVLQ CHKPVHAEYL EKLKLGGSPT NGNSMAPSSP DSDPLEHHHH HH.
NUDT10 belongs to one of the four major structural classes identified through sequence alignment analyses of NUDIX hydrolases . While most NUDIX proteins share the conserved NUDIX box motif (Gx5Ex5[UA]xREx2EExGU), substrate preferences and specific functions vary across family members. NUDT10 is also known as APS2 and DIPP3A (Diphosphoinositol polyphosphate phosphohydrolase 3-alpha) , with alternative names reflecting its various biochemical activities.
Phylogenetic analysis separates NUDIX proteins based on both full-length sequences and NUDIX fold domains, with the full-length analysis often being more reflective of substrate binding specificity since residues outside the NUDIX fold domain can direct substrate binding .
Like other NUDIX hydrolases, NUDT10 likely contributes to cellular homeostasis by maintaining the quality control of nucleotide pools . This "sanitizing" function helps prevent the incorporation of damaged nucleotides into DNA or RNA, which could otherwise lead to mutations or transcriptional errors. This role becomes particularly important under conditions of oxidative stress when nucleotide damage increases. The enzyme's ability to hydrolyze multiple substrates suggests it may have versatile roles in different cellular compartments or under various physiological conditions.
Recombinant human NUDT10 can be efficiently expressed using human cell expression systems for optimal post-translational modifications and folding . A recommended protocol includes:
Expression system: Transfect human cells (HEK293 recommended) with an expression vector containing the full-length NUDT10 sequence (NM_153183).
Tags: Include His or DYKDDDDK (FLAG) tags for purification, preferably at the N-terminus to avoid interfering with C-terminal functional regions .
Purification: Use affinity chromatography (Ni-NTA for His-tag or anti-FLAG for DYKDDDDK-tag), followed by size exclusion chromatography.
Buffer conditions: Formulate the purified protein in sterile PBS buffer at pH 7.2, without preservatives .
Quality control:
Several complementary approaches can measure NUDT10 activity:
Colorimetric phosphate release assay:
Use malachite green or similar reagents to detect inorganic phosphate released during hydrolysis
Include appropriate controls (substrate without enzyme, enzyme without substrate)
Generate a phosphate standard curve (0-100 μM)
Optimal conditions: 37°C, pH 7.5, with Mg²⁺ as cofactor
HPLC-based substrate consumption/product formation:
Column: C18 reverse phase (4.6 × 250 mm, 5 μm)
Mobile phase: Gradient of ammonium acetate (pH 6.0) and acetonitrile
Detection: UV absorbance at 260 nm
Quantify substrate depletion and product formation simultaneously
Mass spectrometry-based assays for direct identification of reaction products and kinetics studies
Radio-labeled substrate assays for high sensitivity detection, particularly with physiological concentrations of substrates
mRNA expression analysis:
RT-qPCR using validated primers targeting conserved regions of NUDT10
Recommended reference genes: GAPDH, ACTB, and TBP (use multiple for normalization)
Public database mining (TCGA, GTEx, HPA) for tissue-specific expression patterns
Protein expression analysis:
Western blotting using validated antibodies
Immunohistochemistry for tissue sections
Standardized scoring systems for semi-quantitative analysis:
H-score (0-300) based on intensity × percentage of positive cells
Quick score (0-18) combining intensity and proportion scoring
Subcellular localization:
Immunofluorescence microscopy
Cell fractionation followed by Western blotting
GFP-tagged NUDT10 for live-cell imaging
Tissue Type | NUDT10 mRNA Expression | NUDT10 Protein Expression |
---|---|---|
Normal Gastric Tissue | Higher | Higher |
Gastric Cancer Tissue | Lower | Lower |
Evidence suggests NUDT10 has significant potential as a prognostic biomarker, particularly in gastric cancer. Research has demonstrated:
Correlation with clinicopathological features:
Independent prognostic value: Multivariate analysis showed that high NUDT10 expression was an independent predictor of survival outcome, even after adjusting for other clinical factors .
Diagnostic accuracy: ROC curve analysis demonstrates the diagnostic value of NUDT10 expression in distinguishing patients with GC .
Methodological considerations for biomarker validation include:
Use of tissue microarrays for high-throughput analysis
Standardized immunohistochemistry protocols
Establishment of clinically relevant cutoff values through ROC analysis
Validation in independent patient cohorts
Gene Set Enrichment Analysis (GSEA) has identified several pathways associated with NUDT10 expression in gastric cancer , including:
DNA repair mechanisms:
Mismatch repair
Nucleotide excision repair
Cell-matrix interactions:
Extracellular matrix receptor interaction
Cancer signaling pathways:
Various cancer-specific signaling networks
These associations suggest NUDT10 may influence cancer progression through multiple mechanisms, potentially related to genomic stability, cell adhesion, and signal transduction. The connection to DNA repair pathways is particularly interesting given the role of NUDIX family proteins in nucleotide pool sanitization .
NUDT10, like other NUDIX hydrolases, likely plays a role in the surveillance of noncanonical nucleotide pools . In this capacity, it would:
Eliminate damaged nucleotides: Hydrolyze oxidized or otherwise modified nucleotides to prevent their incorporation into DNA/RNA
Prevent mutagenesis: Reduce mutation rates by removing potentially mutagenic nucleotide substrates
Maintain nucleotide pool balance: Contribute to the homeostasis of nucleotide concentrations
This function is particularly important given that reactive oxygen species (ROS) can result in nucleotide modifications that threaten genomic integrity . The efficiency of NUDT10 in hydrolyzing specific damaged nucleotides compared to other family members remains to be fully characterized.
Due to potential functional redundancy among NUDIX hydrolases, researchers should employ multiple complementary approaches:
Specific knockdown/knockout strategies:
siRNA or shRNA targeting unique regions of NUDT10
CRISPR-Cas9 mediated knockout
Rescue experiments with NUDT10 but not other family members
Genetic interaction studies:
Substrate specificity profiling:
Comparative substrate screening against multiple NUDIX enzymes
Kinetic analyses to determine substrate preferences and catalytic efficiencies
Structure-function studies to identify determinants of specificity
Cell compartment-specific studies:
Targeting NUDT10 to specific cellular compartments
Measuring local substrate concentrations and enzyme activity
To evaluate NUDT10's role in oxidative stress responses, researchers can:
Measure NUDT10 expression changes:
qPCR and Western blot analysis following oxidative stress induction
Time-course experiments to capture dynamic responses
Comparison with known stress-responsive genes
Assess cellular sensitivity:
Compare survival of NUDT10-depleted vs. control cells under oxidative stress
Measure ROS levels using fluorescent probes (DCF-DA, MitoSOX)
Quantify DNA/RNA damage markers (8-oxo-dG, γH2AX foci)
Evaluate nucleotide pool quality:
HPLC or LC-MS/MS analysis of nucleotide pools from NUDT10-depleted cells
Quantification of modified nucleotides after stress induction
Incorporation rates of damaged nucleotides into DNA/RNA
Functional rescue experiments:
Complementation with wild-type vs. catalytically inactive NUDT10
Domain-specific mutants to identify critical functional regions
Understanding the structural basis of NUDT10 substrate specificity requires:
Structural determination:
X-ray crystallography or cryo-EM of NUDT10 alone and in complex with substrates
Molecular dynamics simulations to model substrate binding
Comparison with structures of other NUDIX family members
Mutational analysis:
Alanine scanning of residues in and around the active site
Creation of chimeric proteins swapping domains with other NUDIX enzymes
Point mutations of conserved vs. divergent residues
Biochemical characterization:
Determination of kinetic parameters (Km, kcat, kcat/Km) for various substrates
Inhibitor binding studies
pH and metal ion dependence profiles
The structural classification of NUDIX hydrolases suggests that substrate preferences correlate to some extent with structural classes , providing a framework for understanding NUDT10 specificity.
To elucidate NUDT10's interactions and pathway involvement:
Protein interaction studies:
Immunoprecipitation followed by mass spectrometry
Yeast two-hybrid screening
Proximity labeling methods (BioID, APEX)
Protein complementation assays
Pathway analysis:
Phosphoproteomic analysis before and after NUDT10 depletion
Transcriptomic profiling to identify affected gene networks
Metabolomic analysis focusing on nucleotide metabolism
Co-localization studies:
Multi-color immunofluorescence
Live-cell imaging with fluorescently tagged NUDT10
Super-resolution microscopy for detailed localization patterns
These approaches can reveal both direct interaction partners and pathways indirectly affected by NUDT10 activity, providing insights into its cellular functions beyond enzymatic activity.
Evolutionary and comparative analysis can provide valuable insights into NUDT10 function:
Cross-species sequence and structure analysis:
Multiple sequence alignment across diverse species
Identification of conserved domains and residues
Evolutionary rate analysis to identify functionally constrained regions
Functional studies in model organisms:
Knockout/knockdown phenotypes in mice, zebrafish, Drosophila, C. elegans
Rescue experiments with human NUDT10
Tissue-specific expression patterns across development
Substrate preference comparison:
Biochemical characterization of NUDT10 orthologs
Identification of species-specific substrates or activities
Correlation with metabolic differences between species
This evolutionary perspective can highlight the most fundamental and conserved functions of NUDT10 while also revealing species-specific adaptations.
Based on NUDT10's role in nucleotide pool maintenance and its association with cancer progression, several therapeutic strategies could be explored:
Small molecule inhibitors:
Structure-based design targeting the active site
Allosteric inhibitors affecting protein dynamics
Fragment-based approaches to identify binding pockets
Therapeutic contexts:
Combination with DNA-damaging agents to increase genomic instability in cancer cells
Synthetic lethality approaches with DNA repair deficient tumors
Context-dependent targeting based on expression levels
Delivery strategies:
Cancer-specific delivery systems
Nucleic acid-based therapeutics (siRNA, antisense oligonucleotides)
PROTAC approaches for protein degradation
Methodological considerations include developing high-throughput screening assays, establishing appropriate cellular models, and validating target engagement in vivo.
Emerging technologies that could provide new insights into NUDT10 function include:
Single-molecule imaging techniques:
PALM/STORM super-resolution microscopy
Single-particle tracking to monitor dynamics
FRET-based activity sensors
Genome editing approaches:
CRISPR base editing for precise mutagenesis
CRISPR activation/repression for endogenous regulation
Knock-in of fluorescent tags at endogenous loci
Structural biology methods:
Cryo-electron tomography for in situ structural analysis
Time-resolved structural studies of enzyme dynamics
Hydrogen-deuterium exchange mass spectrometry
Systems biology approaches:
Multi-omics integration
Mathematical modeling of nucleotide pool dynamics
Machine learning to predict functional interactions
These approaches can provide dynamic, spatiotemporal information about NUDT10 activity that complements traditional biochemical and cellular assays.
Understanding the regulation of NUDT10 under various conditions requires:
Stress response studies:
Exposure to oxidative, genotoxic, and metabolic stressors
Time-course analysis of expression, localization, and activity
Post-translational modification profiling
Environmental influence assessment:
Effects of nutrient availability and metabolic state
Impact of hypoxia and pH changes
Response to inflammatory mediators
Regulation mechanisms:
Transcriptional control: promoter analysis, transcription factor binding
Post-transcriptional regulation: mRNA stability, alternative splicing
Post-translational modifications: phosphorylation, acetylation, ubiquitination
This research direction could reveal how NUDT10 contributes to cellular adaptation under stress conditions and identify potential intervention points for therapeutic applications.
Understanding these fundamental properties provides the foundation for designing experiments and interpreting results in NUDT10 research.
NUDT10 is a single, non-glycosylated polypeptide chain containing 172 amino acids, with a molecular mass of approximately 19.5 kDa . It is produced in E. coli and is fused to an 8 amino acid His-tag at the C-terminus, which facilitates its purification through chromatographic techniques .
The primary function of NUDT10 is to hydrolyze diphosphoinositol polyphosphates, which are involved in various cellular processes including signal transduction, energy metabolism, and apoptosis. Specifically, NUDT10 acts as a diphosphoinositol polyphosphate phosphohydrolase (DIPP), breaking down these complex molecules into simpler forms that the cell can utilize or regulate more easily.
Recombinant NUDT10 is typically produced using bacterial expression systems, such as E. coli. The protein is expressed, harvested, and purified using affinity chromatography, leveraging the His-tag for efficient isolation . The purified protein is then formulated in a buffer containing 20mM Tris-HCl (pH 8.0), 20% glycerol, 0.1M NaCl, and 1mM DTT to maintain its stability and activity .
For storage, NUDT10 is kept at temperatures below -18°C to prevent degradation and maintain its functional integrity. It is important to avoid freeze-thaw cycles, as these can lead to protein denaturation and loss of activity .
NUDT10 is widely used in biochemical and cellular research to study the metabolism and regulation of diphosphoinositol polyphosphates. By understanding how NUDT10 and related enzymes function, researchers can gain insights into the broader roles of these molecules in cellular physiology and pathology. This knowledge can potentially lead to the development of new therapeutic strategies for diseases where diphosphoinositol polyphosphate metabolism is disrupted.