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JoVE Journal
Neuroscience
Mapping Dysfunctional Protein-Protein Interactions in Disease
Mapping Dysfunctional Protein-Protein Interactions in Disease
JoVE Journal
Neuroscience
This content is Free Access.
JoVE Journal Neuroscience
Mapping Dysfunctional Protein-Protein Interactions in Disease

Mapping Dysfunctional Protein-Protein Interactions in Disease

Full Text
954 Views
09:39 min
October 24, 2025

DOI: 10.3791/69197-v

Anna Rodina*1, Hediye Erdjument-Bromage*2, Mara Monetti3, Zhuoning Li3, Souparna Chakrabarty1, Shujuan Wang1, Chander S. Digwal1, Laura Tuffery3, Palak Panchal1, Sahil Sharma1, Tanaya Roychowdhury1, Thomas A. Neubert2,4, Gabriela Chiosis1,5

1Chemical Biology Program,Memorial Sloan Kettering Cancer Center, 2Department of Neuroscience and Physiology,NYU Grossman School of Medicine, 3Proteomics Core,Memorial Sloan Kettering Cancer Center, 4NYU Neuroscience Institute,NYU Grossman School of Medicine, 5Department of Medicine, Division of Solid Tumors,Memorial Sloan Kettering Cancer Center

Overview

This study presents a protocol that captures and identifies disease-specific protein-protein interactions from native cells and tissues using chemical probes and mass spectrometry. Through a dedicated web-based platform, the interaction datasets are analyzed to highlight dynamic network dysfunctions and pathway alterations linked to diseases.

Key Study Components

Area of Science

  • Neuroscience
  • Biochemistry
  • Proteomics

Background

  • Mapping dysfunctional protein-protein interactions is vital for understanding disease mechanisms.
  • Traditional methods may require genetic engineering, complicating studies on patient cohorts.
  • This protocol facilitates analysis from native tissues, enhancing biological relevance.

Purpose of Study

  • To develop and validate a method for capturing protein interactions in a disease context.
  • To provide insights into how diseases modify cellular networks.
  • To utilize mass spectrometry for comprehensive interaction analysis.

Methods Used

  • The main platform includes mass spectrometry for identifying protein interactions.
  • Native tissues are used to study protein interactions without genetic modifications.
  • Key steps involve sample homogenization, bead-based capture, and mass spectrometry analysis.
  • Multiple washing and incubation steps ensure specificity and recovery of proteins.

Main Results

  • Confirmed the biological specificity of chemical probes through selective protein capture.
  • Technical reproducibility was validated, ensuring reliable detection of protein interactions.
  • Principal component analysis demonstrated clear separation of different samples.

Conclusions

  • This study enables the identification of disease-specific protein interactions directly from native tissues.
  • The insights gained can help understand neuronal mechanisms and potential therapeutic targets.
  • Utilizing this method can pave the way for more accurate models of disease pathology.

Frequently Asked Questions

What are the advantages of using native tissues for protein interaction studies?
Using native tissues preserves the biological context of protein interactions, allowing for a more accurate representation of disease mechanisms compared to traditional cell lines.
How is the biological model implemented in this study?
The protocol involves preparing tissue samples and extracting proteins without genetic modifications, enabling direct analysis of disease-related interactions.
What types of outcomes can be obtained from the mass spectrometry analysis?
Mass spectrometry reveals detailed interaction profiles, helping to identify specific proteins involved in diseases and their functional relationships.
How can this method be adapted for different types of studies?
The protocol can be modified for various tissues and diseases, allowing researchers to investigate a wide range of protein interactions in different contexts.
What are the potential limitations of this method?
While effective, the method may require optimization for different tissues or disease states, and the complexity of analyses can be challenging to interpret.

Here, we present a protocol to enable the capture and identification of disease-specific protein-protein interactions from native cells and tissues using chemical probes and mass spectrometry. The resulting interaction datasets are analyzed through a dedicated web-based platform to reveal dynamic network dysfunctions and pathway alterations linked to disease.

Our work maps dysfunctional protein-protein interactions directly from native cells and tissues, revealing how disease rewires cellular networks. Unlike most interatomic methods, dfPPI requires no genetic engineering and skills to patient cohorts, using one multiplex capture per sample. To begin, prepare a protein extraction buffer containing 20 millimolar Tris, 20 millimolar potassium chloride, 5 millimolar magnesium chloride, and 0.01%Nb-40.

Add protease and phosphatase inhibitors immediately before use and keep the buffer on ice. Place the frozen tissue sample into a micro tissue homogenizer tube fitted with a pestle. Add 500-700 microliters of the native lysis buffer, adjusting the volume based on tissue compactness and ease of homogenization.

Then, homogenize the sample on ice by gently moving the pestle up and down and against the abrasive walls until a uniform suspension is obtained. Incubate the lysates at 4 degrees Celsius for 30 minutes by placing the vial on a rotation unit. Gently mix the samples during incubation through rotation.

Using a benchtop centrifuge, centrifuge the samples at 13, 000 G for 10 minutes at 4 degrees Celsius to remove cellular debris. Carefully collect the supernatants and transfer them into clear 1.5-milliliter microcentrifuge tubes. Determine the total protein concentration in the supernatant using the BCA Assay Kit according to the manufacturer's instructions.

Next, take an aliquot of polyurethane beads directly from the isopropanol stock. Allow the beads to settle to remove the storage solvent. Carefully aspirate the isopropanol, then add native lysis buffer and fully re-suspend the beads by gentle pipetting or inversion.

To wash and equilibrate the beads, vortex the tube then centrifuge it. After that, aspirate the supernatant with a vacuum line fitted with a pipette tip, taking care not to disturb the pellet. Add binding buffer to the washed beads in an equal ratio to create a uniform working bead slurry.

Aliquot 40 microliters of polyurethane bead slurry into 1.5-milliliter microcentrifuge tubes, using a cut pipette tip for smooth dispensing. Then, wash the beads three times with native lysis buffer by adding 1 milliliter of buffer to each tube. Vortex the tube to re-suspend the beads, then centrifuge at 10, 000 G for 1 minute and discard the supernatant by aspiration.

After the final wash, remove most of the remaining liquid from the tubes, ensuring that the bead pellet remains undisturbed. Add the normalized protein extracts to individual 1.5-milliliter microcentrifuge tubes containing 40 microliters of control bead slurry. Adjust the final volume to 250 microliters by adding the appropriate amount of native lysis buffer.

Incubate the samples at 4 degrees Celsius for 30 minutes with rotation on an end-over-end rotator operating at 10-15 revolutions per minute. Centrifuge the tubes at 10, 000 G for 1 minute at 4 degrees Celsius to pellet the control beads along with aggregated or insoluble proteins. Carefully collect the supernatant from the control beads using a 1 milliliter pipette and transfer it into fresh 1.5-milliliter tubes containing 40 microliters of washed polyurethane bead slurry.

Incubate the samples at 4 degrees Celsius for 3 hours with rotation on an end-over-end rotator. After centrifuging the tubes carefully, aspirate the supernatant and wash the beads four times, as demonstrated earlier. Remove any residual PBS from the tube.

Re-suspend the washed beads in 80 microliters of 2 molar urea freshly prepared in 50 millimolar ammonium bicarbonate at pH 8.5 by pipetting or brief vortexing. Then, add dithiothreitol to achieve a final concentration of 1 millimolar. After capping the tube, incubate at 37 degrees Celsius for 30 minutes with shaking at 1, 100 revolutions per minute on a heated orbital shaker.

Add iodoacetamide to reach a final concentration of 3.67 millimolar. Incubate the tubes in the dark at room temperature for 45 minutes with shaking at 1, 100 revolutions per minute. Now, add additional dithiothreitol to quench any unreacted iodoacetamide, ensuring a final concentration of 3.67 millimolar and mix gently by pipetting.

Add 750 nanograms of 0.5 milligrams per milliliter mass spectrometry-grade Lys-C protease to the sample. Incubate the mixture at 37 degrees Celsius for 1 hour with shaking at 1, 150 revolutions per minute. Next, add 750 nanograms of freshly prepared 0.5 milligrams per milliliter sequencing-grade tripsin to the sample.

Incubate the mixture overnight at 37 degrees Celsius with shaking at 1, 150 revolutions per minute. On the following day, centrifuge the sample at 1, 000-5, 000 G for 1-5 minutes at room temperature. Carefully transfer the supernatant into a fresh 1.5-milliliter microcentrifuge tube using a pipette, and discard the beads.

Adjust the pH of the digest to below 3 by adding 50%trifluoroacetic acid dropwise. Verify the pH using indicator strips. PU-beads captured HSP90, HSC70, and hot proteins strongly from the epichaperome high lysate with minimal signal from the epichaperome low lysate, confirming biological specificity of the probe.

The PU-bead's cargo profile showed a rich, high molecular weight signal in the PU-beads lane and minimal background in the control bead lane, confirming successful probe activity. Coomassie-stained SDS-PAGE gels showed consistent band distribution across four in-gel processed samples, confirming successful enrichment of protein complexes from native lysates before mass spectrometry. Technical reproducibility was confirmed by principal component analysis, where replicate samples clustered tightly while different samples separated cleanly.

Precursor ion intensity distributions showed that most features had coefficients of variation below 20%with median values between 9.7%and 11.9%across samples, confirming consistent peptide detection and recovery. Hierarchical clustering of log-transformed protein abundances revealed strong sample separation and preserved inter-sample variation with protein intensities spanning from low abundance to highly enriched proteins. Pathway enrichment analysis demonstrated broad annotation coverage across multiple ontologies, including gene ontology categories and curated databases, such as Reactome, KEGG and WikiPathways.

dfPPI allowed us to uncover mechanistic and therapeutic insights that other approaches simply cannot reach. dfPPI brings interomics to the level of real-world disease cohorts and the native conditions, enabling precise mechanistic and therapeutic hypothesis. We're now expanding dfPPI to map network level changes in neurodegenerative diseases, such as Alzheimer's and Parkinson's.

Explore More Videos

Neuroscienceinteractomeprotein-protein interactionsPPI network analysiscontext-specific interactomeschemical biologymass spectrometrysystems biologyepichaperomeneurodegenerative diseasesneoplasmsaffinity enrichment

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