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Interactome Analysis Service

MtoZ Biolabs provides comprehensive interactome analysis service covering protein-protein, protein-nucleic acid, and protein-small molecule interactions. Our integrated analytical approaches support the discovery of interaction partners, characterization of protein complexes, and investigation of molecular associations.

By combining mass spectrometry-based proteomics, molecular interaction assays, and bioinformatics analysis, we help researchers investigate interaction networks, identify potential functional modules, and explore molecular mechanisms underlying biological processes and disease.

  • Comprehensive Protein Interaction Analysis
  • Integrated Mass Spectrometry & Interaction Identification
  • Interaction Network Mapping & Functional Insights

What Is Interactome Analysis?

Interactome analysis systematically investigates molecular interactions and their organization into biological networks. Beyond protein-protein interactions (PPIs), the interactome can encompass associations between proteins and nucleic acids, lipids, or small molecules.

2114975551367774208-Figure1.SchematicofProteinInteractionswithBiologicalMolecules.png

Figure 1. Schematic of Protein Interactions with Biological Molecules

Rather than examining isolated protein pairs, interactome analysis combines experimental interaction evidence with bioinformatics to identify candidate partners, protein complexes, functional modules, and pathways, and to explore network changes across biological conditions. These findings can generate testable hypotheses about molecular function, regulatory mechanisms, and disease-associated biological processes.

Service at MtoZ Biolabs

MtoZ Biolabs integrates proteomics, chemical proteomics, molecular interaction assays, and bioinformatics to investigate protein-protein, protein-nucleic acid, and protein-small molecule interactions. Analytical strategies are tailored to the target, interaction type, and required evidence, from discovery-scale screening to focused characterization.

 

1. Protein-Protein Interaction Analysis

Our Co-IP-MS, Pull-Down-MS, AP-MS, Proximity Labeling Service, and XL-MS approaches support candidate interactor discovery, protein complex characterization, and comparison of protein associations across conditions. Protein enrichment and LC-MS/MS data can be combined with network analysis to investigate signaling mechanisms, disease-related associations, and complex organization.

 

Proximity labeling identifies nearby proteins, which are not necessarily direct binders. These methods can be used to investigate signaling complexes, changes in protein recruitment, and associations relevant to protein function.

 

2. Protein-Nucleic Acid Interaction Analysis

  • Protein-DNA interactions: ChIP-seq, CUT&Tag, and DNA Pull-Down support investigations of chromatin-associated proteins, genomic binding regions, and proteins associated with selected DNA sequences.
  • Protein-RNA interactions: RIP, RNA Pull-Down, and associated MS approaches help identify RNAs associated with target proteins or proteins associated with specific RNAs.

 

Applications include transcriptional regulation, epigenetics, RNA processing, and noncoding RNA function. The resulting evidence varies across methods: genomic occupancy, RNA association, and affinity enrichment should not be interpreted as interchangeable measurements.

 

3. Protein-Small Molecule Interaction Analysis

Pull-Down-MS, Activity-Based Protein Profiling (ABPP), NSP-MS, and Drug Affinity Responsive Target Stability support candidate target discovery for drugs, metabolites, and natural products. Probe-based enrichment, affinity capture, or label-free stability assays are selected according to compound properties and research objectives; screening findings may require independent validation.

 

These approaches are useful for investigating therapeutic targets, natural product mechanisms, and potential off-target associations.

 

For defined binding questions, related offerings include Protein Ligand Binding Assay Service and Protein Ligand Binding Site Detection Service. SPR, BLI, MST, and HDX-MS can support affinity measurements, binding assessment, or binding region characterization, as appropriate.

Choose the Right Interactome Analysis Workflow

The choice of technique depends on the biological question, available materials, and type of interaction evidence needed. An effective study begins with a defined target or research objective, then matches the experimental approach to the expected molecular context and suitable controls.

Research Goal

Research Scenario

Recommended Techniques

Expected Insight

Discover unknown partners

Target protein has uncharacterized partners

Co-IP-MS, AP-MS, Pull-Down-MS

Candidate interacting proteins

Characterize complexes

Composition and organization of multiprotein assemblies

Co-IP-MS, AP-MS, XL-MS

Complex membership and structural constraints

Compare conditions

Drug treatment, knockout, stimulation, or disease states

Co-IP-MS, AP-MS, quantitative LC-MS/MS

Differential co-enrichment

Investigate spatial proximity

Membrane, organelle, or potentially transient associations

Proximity Labeling Service

Proteins proximal in a cellular context

Interpret interaction networks

Large candidate protein lists

AP-MS, Co-IP-MS, network analysis, GO/KEGG

Functional modules and pathways

Validate candidates

Follow up selected interaction pairs

Co-IP, Pull-Down, SPR, BLI

Supporting association or binding evidence

Co-IP-MS and AP-MS are often suitable starting points for partner discovery; proximity labeling addresses spatial neighborhoods, while XL-MS adds structural constraints. Co-enrichment, proximity, and direct binding are distinct evidence types, so orthogonal validation may be needed. Quantitative differences must also be evaluated against protein expression and enrichment efficiency.

Sample Submission Requirements

Requirements vary by method and sample condition. The amounts below are indicative submission criteria; confirm project-specific handling before shipment. For specialized projects, sample acceptance also depends on buffer composition, target abundance, and availability of appropriate controls.

Interaction

Method

Samples and Amounts

Storage / Shipping

Protein-protein

Co-IP-MS / Pull-Down-MS / AP-MS / IP-MS

Cells, tissues, microorganisms, biofluids, proteins, beads, or gel bands; protein ≥20 μg at >0.5 μg/μL; visible gel band

Gel: ambient or ice packs; solutions/beads: liquid-nitrogen snap-freeze, dry ice

Protein-protein

Proximity Labeling Service

Labeled cells or enriched proteins; ≥1 × 10⁷ cells/sample; negative control required

Frozen cell pellets; dry ice

Protein-protein

XL-MS

Purified proteins/complexes, cells, or crosslinked samples; protein 100–150 μg, ≥90% purity; cells ≥1–2 × 10⁷/condition

Amine-free HEPES/PBS; snap-freeze; dry ice

Protein-nucleic acid

DNA / RNA Pull-Down-MS

Lysate (~1 mg total protein), beads ≥20 μL, or clearly stained gel bands

Snap-freeze; dry ice; prevent RNase contamination

Protein-nucleic acid

ChIP-seq

Cells 1 × 10⁷; animal tissue 0.5 g; plant tissue 2 g; microorganisms 1 × 10⁹ cells

Histone samples: specified freezing; non-histone targets: protocol-dependent crosslinking

Protein-nucleic acid

CUT&Tag

Cells 1 × 10⁷; animal tissue 0.2 g; plant tissue ≥2 g

Controlled-rate cell freezing; tissue snap-freeze; dry ice

Protein-nucleic acid

RIP

Cells ≥1–2 × 10⁷; tissue ≥500 mg; post-IP RNA ≥1 μg

Snap-freeze; dry ice; protect RNA

Protein-nucleic acid

ChIRP-MS / ChIRP-seq

Cells 1 × 10⁸; animal tissue ≥500 mg; plant tissue ≥5 g

Controlled-rate freezing; confirm conditions

Protein-small molecule

SPR / binding affinity

Protein 50–100 μg, ≥90% purity; compound 1–2 mg

Protein powder or solution; solution snap-freeze, dry ice

Protein-small molecule

MST

Protein ~50 μg per compound; compound 1–2 mg

Powder or solution; fluorescence-compatible buffer

Protein-small molecule

HDX-MS

Protein 100 μg, 1 mg/mL, ≥90% purity; ligand ≥20 μg

Powder or solution; solution snap-freeze, dry ice

Additional Submission Considerations

Avoid protein degradation, excessive salts, and detergents; SDS should be below 0.1% in MS samples. Co-IP requires an immunoprecipitation-compatible antibody; affinity workflows require relevant bait/tag and enrichment information. Avoid Tris and glycine in amine-reactive XL-MS workflows.

 

Confirm SPR/MST buffer compatibility and provide appropriate negative controls, species, sequences, experimental groups, and reference database details. Low-input or difficult samples require individual assessment. ABPP, DARTS, and NSP-MS projects also require project-specific sample and pretreatment evaluation.

Why Choose MtoZ Biolabs?

1. Integrated Platform

Interaction enrichment, LC-MS/MS identification, and bioinformatics analysis within an aligned research strategy.

2. High-Resolution MS

Orbitrap-based analysis for suitable complex protein samples.

3. Study Design and QC

Guidance on controls, enrichment evaluation, and data quality.

4. Bioinformatics Support

Relative enrichment, network visualization, functional annotation, and pathway analysis when applicable.

5. One-Time Charge

Transparent pricing without hidden fees or additional costs.

Case Study

Reliable Identification of Protein Interactions by Crosslinking Mass Spectrometry

In a study of Escherichia coli lysate, XL-MS identified 590 PPIs at a 1% decoy-based PPI-FDR and positioned the YacL binding site near the RNA polymerase DNA exit tunnel. These findings illustrate how XL-MS supports large-scale interaction mapping and structural interpretation.

 

MtoZ Biolabs offers XL-MS-based protein interaction analysis for related research questions.

2114976869205508096-Figure2.XL-MS-DerivedProteinInteractionNetworkoftheE.coliProteome.png

Lenz, S. et al. Nature Communications. 2021.

Figure 2. XL-MS-Derived Protein Interaction Network of the E. coli Proteome

Deliverables

1. Experimental Details

Samples, groups, controls, and design.

2. Materials and Methods

Reagents, workflows, and instrumentation.

3. MS Data and QC

Applicable peptide/protein identification and quality metrics.

4. Protein Analysis

Identification lists, intensity data, and relative co-enrichment comparisons.

5. Bioinformatics

Interaction networks, functional annotation, and pathway enrichment, where applicable.

6. Data and Report

Relevant raw files, results, and analysis report.

 

FAQs

Q1. Can Interactome Analysis Identify Unknown Partners?

Yes. Co-IP-MS, Pull-Down-MS, and AP-MS can screen for candidates when suitable capture reagents or tags are available. Results depend on abundance, enrichment, sample complexity, and controls.

 

Q2. Can Interactions Be Compared Across Conditions?

Yes, with suitable controls and biological replicates. Relative co-enrichment can indicate condition-associated differences, but expression changes and bait recovery can also affect the measurements.

 

Q3. Does Interactome Analysis Prove Direct Binding?

Not by itself. Co-enrichment or proximity does not establish direct binding; appropriate orthogonal assays may be needed.

 

Q4. Is an Antibody or Affinity Tag Essential?

Not for every approach. Feasibility depends on target characteristics and available materials; provide protein sequence and expression-system details for assessment.

 

Contact Us

For studies of molecular interactions, protein complexes, or interaction networks, share your target proteins, sample types, experimental groups, and research objectives with MtoZ Biolabs. We can help assess appropriate analytical approaches and sample requirements.

MtoZ Biolabs, an integrated chromatography and mass spectrometry (MS) services provider.

Related Services

Protein-Protein Interaction Analysis Service

Protein-Small Molecule Interaction Analysis Service

Protein-DNA Interaction Analysis Service

DNA Pull-Down Assay Service

Co-Immunoprecipitation Protein Interaction Analysis Service

Demo for Interactome Analysis

Total Ion Chromatogram

Total Ion Chromatogram

SDS-PAGE Analysis of Enriched Proteins

SDS-PAGE Analysis of Enriched Proteins

Western Blot Validation of Target Protein

Western Blot Validation of Target Protein

Protein Identification Counts

Protein Identification Counts

GO Enrichment Analysis

GO Enrichment Analysis

KEGG Pathway Mapping

KEGG Pathway Mapping

How to Order

How to Order
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