When we conceptualized IMPROViSeD, we envisioned complementing its computational framework with an experimental wet-lab component to validate the software’s predictions. Our goal was to develop an integrated pipeline that could functionally analyze the protein complexes whose structures were elucidated by IMPROViSeD, emphasizing the generation of experimentally derived data to support our computational models.
Initially, we considered studying G-protein coupled receptors (GPCRs), a highly relevant class of proteins involved in signal transduction. GPCRs form one of the largest protein families in human cells and are crucial in various physiological processes by transmitting signals from the extracellular environment to the cell's interior. GPCRs, in their inactive state, form complexes with heterotrimeric G-proteins. Upon ligand binding, the GPCR undergoes a conformational change that activates the G-protein, dissociating it and initiating a signal transduction cascade. [3]
Dysfunctions in GPCR signaling are linked to numerous diseases, such as neurodegenerative disorders and cancer, making them critical targets for therapeutic intervention. We identified three key protein interaction targets for structure-function analysis of GPCRs:
However, after extensive consideration of the available resources and the experimental demands, we decided that studying GPCRs would not be feasible within our current framework. The complexity of the interactions, coupled with the experimental techniques required, exceeded our capacity at this stage.
As a result, we shifted our focus to exploring the LCN2-MMP9 complex, which plays a significant role in cancer metastasis. Unlike GPCRs, this complex offered a more targeted approach that aligned with both our computational goals and the resources available for experimental validation. Our focus turned to understanding how experimentally generated cross-links could inform the modelling of protein complexes involved in cancer progression, specifically using cross-linking mass spectrometry (XLMS) to generate distance restraints for IMPROViSeD.
LCN2, also known as neutrophil gelatinase-associated lipocalin, is a 25-kDa protein stored in neutrophil granules. It belongs to the lipocalin family, which specializes in binding and transporting small lipophilic molecules. [6]
LCN2 has several key biological roles:
MMP9 is an enzyme involved in the breakdown of the extracellular matrix (ECM), playing a vital role in physiological processes like tissue remodelling.
However, in pathological conditions such as cancer, MMP9 contributes to tumor invasion and metastasis by degrading ECM components, thereby enabling cancer cells to migrate to new locations. [1][8]
The interaction between LCN2 and MMP9 prevents the autodegradation of MMP9, enhancing its proteolytic activity and promoting cancer metastasis. This complex is particularly important in cancers of the alimentary canal. By stabilizing MMP9, LCN2 facilitates the invasion and migration of cancer cells. Inhibiting this interaction presents a promising strategy for cancer therapy, but developing effective inhibitors requires detailed structural information about the complex. [1][7]
Past efforts to generate antibodies targeting the LCN2-MMP9 interaction have failed, primarily because the antibodies did not bind to the correct interface. To overcome this challenge, we aim to define the precise binding interface using IMPROViSeD. This requires experimental cross-links between LCN2 and MMP9, which we will generate through XLMS.
XLMS is a powerful technique for identifying interacting regions between proteins by introducing chemical cross-linkers that covalently bind specific amino acids in close proximity. These cross-links provide crucial distance restraints that can be used to model the protein complex's structure. [2]
Our approach involves cross-linking LCN2 and MMP9 using Disuccinimidyl Glutarate (DSG), a commonly used cross-linker. The process begins with SDS-PAGE to separate the cross-linked proteins, followed by in-gel digestion using trypsin. The resulting peptides are analyzed by mass spectrometry, and the spectra are compared with non-cross-linked proteins to detect cross-links.
The workflow consists of the following steps:
We are currently optimizing the cross-linking protocol to ensure the highest yield of cross-links between LCN2 and MMP9. This involves fine-tuning the DSG concentration and reaction conditions to achieve the most accurate and reproducible results. These cross-links will provide the experimental distance restraints needed for running IMPROViSeD and validating the modelled structures of the LCN2-MMP9 complex.
2.5 ml stock ABC solution + 7.5 ml MilliQ H₂O
2.5ml ABC from 200 mM stock + 2.5 ml MilliQ water + 5 ml ACN
154 mg DTT + 1 ml H₂O
10 µl DDT from 1M stock + 990 µl of 50mM ABC solution
Extraction solution: 60% ACN (600μl) + 5% Formic acid (50μl) + H₂O (300μl) - 1ml