Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Brianna Ball; Arjun Sukumaran; Jennifer Geddes-McAlister

doi:10.3791/61881

JoVE Journal > Immunology and Infection

Immunologie et infection

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published: October 20, 2020

doi:

10.3791/61881

Brianna Ball¹, Arjun Sukumaran¹, Jennifer Geddes-McAlister¹

¹Molecular and Cellular Biology Department,University of Guelph

Summary

Here, we present a protocol to profile the interplay between host and pathogen during infection by mass spectrometry-based proteomics. This protocol uses label-free quantification to measure changes in protein abundance of both host (e.g., macrophages) and pathogen (e.g., Cryptococcus neoformans) in a single experiment.

Abstract

The technological achievements of mass spectrometry (MS)-based quantitative proteomics opens many undiscovered avenues for analyzing an organism’s global proteome under varying conditions. This powerful strategy applied to the interactions of microbial pathogens with the desired host comprehensively characterizes both perspectives towards infection. Herein, the workflow describes label-free quantification (LFQ) of the infectome of Cryptococcus neoformans, a fungal facultative intracellular pathogen that is the causative agent of the deadly disease cryptococcosis, in the presence of immortalized macrophage cells. The protocol details the proper protein preparation techniques for both pathogen and mammalian cells within a single experiment, resulting in appropriate peptide submission for liquid-chromatography (LC)-MS/MS analysis. The high throughput generic nature of LFQ allows a wide dynamic range of protein identification and quantification, as well as transferability to any host-pathogen infection setting, maintaining extreme sensitivity. The method is optimized to catalogue extensive, unbiased protein abundance profiles of a pathogen within infection-mimicking conditions. Specifically, the method demonstrated here provides essential information on C. neoformans pathogenesis, such as protein production necessary for virulence and identifies critical host proteins responding to microbial invasion.

Introduction

The prevalence of invasive fungal infections is vastly increasing and is correlated with unacceptably high mortality rates, most commonly reported in individuals with immunodeficient predispositions¹. Cryptococcus neoformans is a notorious opportunistic fungal pathogen capable of intracellular survival within host macrophage cells. Inadequate antifungal intervention results in fungal dissemination and life-threatening manifestations of cryptococcal meningitis and meningoencephalitis²^,³. The global increase in immunocompromised status has demanded a parallel increase in the use of antifungal agents, in which many fungal species, including C. neoformans, have increasingly evolved resistance towards⁴^,⁵^,⁶. Therefore, it is imperative to implement robust and efficient technologies to answer vital biological questions regarding host defence response and microbial pathogenesis.

The new age of technological advancement in mass spectrometry (MS), including the generation of powerful computational and bioinformatic pipelines, provides the foundation for an integrative vision for large-scale analysis of host-pathogen research⁷^,⁸. Conventional pathogenesis-driven proteomic analysis commonly profiles the view of infection from either the host or pathogen perspective, including comprehensive methodologies such as protein correlation profiling, affinity chromatography combined with proteomics, and interactomics⁹. Investigations into the virulence of dangerous pathogens in a host system are of immense clinical importance; however, the application of a dual perspective analysis in a single experiment was formerly considered unattainable. For example, the pathogen’s perspective towards infection is often overwhelmed by highly abundant host proteins resulting in reduced sensitivity for the detection of low-abundant fungal proteins⁷. Furthermore, the high sample complexity invites many targets to investigate in a single experimental system and proves challenging to elucidate mechanisms of action for a specific pathogen protein.

Bottom-up proteomics is a popular MS technique that enables manageable sample preparation, in which peptides are generated by sequence-specific enzymatic digestion followed by liquid chromatography separation, identification, and quantification by MS¹⁰^,¹¹. Here, we present a method demonstrating a data-dependent acquisition strategy purposed to achieve an unbiased coverage of an infection-based proteome or ‘infectome’. Specifically, label-free quantification (LFQ) sheds the dependence on chemical or metabolic labels for robust and accurate identification of protein level changes across multiple proteomes, reducing sample handling and processing steps¹²^,¹³. This universal application interrogates produced proteins at a given moment within a cell independent of any expected protein production; thus, novel insights may be discovered that are critical to infection.

The workflow described herein is optimized to explore protein level changes of C. neoformans during infection-mimicking conditions with host immune cells (Figure 1). Rather than relying on the isolation and separation of cell types, this approach extracts the host and pathogen proteome together, and utilizes bioinformatic separation using two organism-specific databases to distinguish species-specific protein production. This method offers advantages for an unlimited number of samples to be processed without the extra costly preparation steps necessary in isotope-based labelling studies or fractionation. Furthermore, this workflow supports optimized protein extraction protocols transferable to a wide range of fungal and bacterial pathogens capable of targeting and infecting host immune cells. Overall, this protocol outlines the steps to complete an unbiased protein extraction and sample processing for high-resolution MS, followed by data and statistical analysis, capable of providing a wealth of knowledge of fungal proteins significant for infection combined with comprehensive profiling of the host defense response.

Protocol

An immortalized line of macrophages derived from BALB/c mice were used for the following protocol approved by the University of Guelph Animal Utilization Protocol 4193. Notably, other strains of mice or other sources of immortalized cells can be applied to the outlined protocol with sufficient testing to optimize the detailed parameters. The following protocol will navigate the steps beginning with a frozen vial of macrophage cells. Cells are stored in 10% FBS (fetal bovine serum), 1% L-glutamine and 5% Pen/Strep (Penicillin-Streptomycin) mixture to DMEM (Dulbecco's Modified Eagle Medium) and 20% DMSO (dimethyl sulfoxide).

1. Culturing of C. neoformans

Using a glycerol stock, streak wildtype C. neoformans strain (H99) onto Yeast-extract peptone dextrose (YPD) agar plate to isolate single colonies.
Incubate overnight for 16 h at 37 °C in a static incubator.
Select a single colony of wildtype C. neoformans strain and culture in 5 mL of YPD broth in a loosely capped 10 mL test tube. Perform in quadruplicate.
Incubate overnight for 16 h at 37 °C in a shaking incubator at 200 rpm.
The following day subculture each overnight culture in a 1:100 dilution into 3 mL YPD broth.
Measure Optical density (OD_600nm) values of fungal culture to determine mid-log phase. Depending on the spectrophotometer, C. neoformans wildtype strain reaches mid-log phase commonly following 6 to 8 h incubation in YPD with general OD_600nm values ranging 1.0 to 1.5.
Once cells reach mid-log phase, take a 10 µL aliquot of fungal cell suspension into a clean 1.5 mL microcentrifuge tube and dilute 1:100 in sterile 1x phosphate buffered saline (PBS). Count the number of cells using a hemocytometer.

2. Culturing of macrophage cells

NOTE: Ensure work environment is sterilized prior to cell culture work.

Preparation of cell culture medium
1. Antibiotic-supplemented medium: Add 10% FBS (fetal bovine serum), 1% L-glutamine and 5% Pen/Strep (Penicillin-Streptomycin) mixture to DMEM (Dulbecco's Modified Eagle Medium). Filter medium through a 0.2 µm complete filter system and store at 4 °C.
2. Antibiotic-free medium: Follow identical protocol but omit Pen/Strep mixture.
Seeding macrophage cells
NOTE: Antibiotic-supplemented medium (2.1.1.) should be warmed to 37°C prior to cell culture work.
1. Thaw vial of macrophage cells quickly in 37 °C bead bath.
2. Wash cells of freezing solution by resuspending the cells in 1 mL antibiotic-supplemented medium.
  NOTE: Extra precaution is required to ensure the cells do not lyse due to harsh pipetting.
3. Transfer resuspended cells to a sterile 15 mL tube.
4. Pellet cells by centrifuging at 400 × g for 5 min at room temperature.
5. Carefully remove supernatant with a serological pipette or vacuum aspirator.
6. Gently resuspend pellet in 10 mL of antibiotic supplemented medium.
7. Gently pipette resuspended cells into a 60 x 15 mm cell culture-treated dish.
8. Incubate dish at 37 °C with 5% CO₂ overnight.
Initial passage of macrophage cells
NOTE: Frozen cell stocks will typically contain between 5 to 10 million cells per vial (approx. 1 mL). On the subsequent day, macrophage cells that have survived the seeding protocol will adhere to the bottom of the cell culture dish and will be ready for passaging.
1. Warm antibiotic-supplemented medium (step 2.1.1) to 37 °C prior to cell culture work. Ensure work environment is sterilized prior to cell culture work. Visualize cells using a light microscope to ensure cells are adhered and healthy.
2. Remove cell culture medium from the dish either with a serological pipette or a vacuum aspirator.
3. Gently add 5-7 mL of sterile room-temperature PBS (phosphate-buffered saline) to the 60 x 15 mm dish.
4. Gently tilt the dish to wash adhered cells.
5. Remove PBS using a serological pipette or vacuum aspirator.
6. Add 1 mL of cold PBS (stored at 4 °C) to the cells, tilt dish to distribute PBS over all cells, and allow to sit at room temperature for 1 min.
7. Release cells by gentle tapping of the dish, pipetting cold PBS against the cells, or by using a cell scraper.
8. Add 9 mL of antibiotic-supplemented medium to the dish.
9. In a new 60 x 15 mm dish, add 9 mL of fresh antibiotic-supplemented medium and 1 mL of resuspended cells from the original dish.
10. Once the number of desired passaging plates have been filled, resuspended cells from the original dish can be discarded.
11. Incubate the new dish at the settings mentioned above (step 2.2.8).
12. Perform subsequent passaging when cells have reached 70-80% confluence (approximately every 2 days depending on the cell line and medium used).
  NOTE: Macrophage cells should be passaged a minimum of five times prior to infection experiments. Depending on the cell line, infection experiments should be performed by 25 to 30 passages. After 25 to 30 passages, cells should be frozen or discarded. Section 2.4 or 2.5 can be chosen based on the experimental plans. Section 2.4 will be used for the following sections.
Seeding macrophage cells prior to infection
1. Perform passaging protocol steps 2.3.1 to 2.3.7.
2. Using a hemocytometer or automated cell counter determine the cell density (cells/mL).
3. Transfer 0.3 x 10⁶ macrophage cells into a single well of a 6-well cell culture plate.
4. Adjust total volume of well to 1 mL using antibiotic-supplemented medium (step 2.1.1).
5. Repeat steps 2.4.3 and 2.4.4 until 8 wells have been filled (4 wells filled in two separate plates).
6. Optionally, fill the remaining two wells with 1 mL of room-temperature PBS to maintain moisture levels during incubation.
7. Allow cells to grow under incubation conditions mentioned in step 2.2.8 for 2 d prior to infection.
Seeding macrophage cells on the day of infection
1. Perform passaging protocol steps 2.3.1 to 2.3.7.
2. Using a hemocytometer or automated cell counter determine the cell density (cells/mL).
3. Seed 1.2 x 10⁶ macrophage cells into a single well of a 6-well cell culture plate.
4. Adjust total volume of well to 1 mL using antibiotic-supplemented medium (2.1.1).
5. Repeat 2.4.3 and 2.4.4 until 8 wells have been filled (4 wells filled in two separate plates).
6. Optionally, fill the remaining two wells with 1 mL of room-temperature PBS to maintain moisture levels during incubation.
7. Incubate cells under conditions mentioned in step 2.2.8 for 3 h to allow cells to adhere to wells.

3. Infection of macrophage cells with C. neoformans

NOTE: Upon reaching 70-80% confluence, there will be approx. 1.2 x 10⁶ macrophage cells per well. To achieve the desired multiplicity of infection (MOI) of 100:1, 1.2 x 10⁸ fungal cells are required for each reaction. Cultures must be set accordingly in biological quadruplicate.

DISCLAIMER: A MOI of 100:1 has achieved desirable results in our research group and is meant as a suggestion to readers. A lower MOI may be required for more infectious C. neoformans strains or for less resilient macrophage cell lines. Verification of infection (section 3.5) can be used to determine the ideal MOI for particular C. neoformans – macrophage combinations.

Preparation of fungal cells
1. Follow step 1 for growth of C. neoformans to mid-log phase.
2. Collect and centrifuge cells at 1,500 x g for 10 min, gently wash pellet with sterile room-temperature PBS, and repeat for a total of three washes.
3. Resuspend cells in antibiotic-free cell culture medium (step 2.1.2) to achieve a concentration of 1.2 x 10⁸ cells/mL.
Preparation of macrophage cells
1. Visualize each well in the 6-well plate to ensure that cells have reached 70-80% confluence. Alternatively, cells can be measured to achieve approx. 1.2 x 10⁶ macrophage cells per well.
2. Follow steps 2.3.1 to 2.3.4.
Co-culture of C. neoformans and macrophage cells
1. Add 1 mL of the resuspended C. neoformans cells (step 3.1.3) to 4 wells containing macrophage cells prepared in section 3.2.
  NOTE: The number of plates required will need to be calculated prior to beginning the experiment. Add 1 mL of antibiotic-free medium (step 2.1.2) to empty wells.
2. Allow cells to incubate under conditions listed (step 2.2.8) for 3 h.
3. Remove cell culture medium from the plate either with a serological pipette or a vacuum aspirator.
4. Gently add 1 mL of sterile room-temperature PBS.
5. Gently tilt the plate to wash non-attached or non-phagocytosed extracellular C. neoformans cells.
6. Remove PBS using a serological pipette or vacuum aspirator, repeat for a total of three washes. Repeat 3.3.4 to 3.3.5 two more times.
Uninfected macrophages
1. Likewise, use 4 wells of a 6 well plate to serve act as macrophage-only samples. Add 1 mL of antibiotic-free medium (step 2.1.2) to these wells.
2. Repeat steps 3.3.2 to 3.3.6.
Verification of infection
NOTE: Using a cytotoxicity assay, infection proficiency can be measured. The following protocol will highlight application of a cytotoxicity product to measure LDH (lactate dehydrogenase) release. Other cytotoxicity products can also be used.
1. Preparation of C. neoformans infection of macrophage cells
  1. Repeats steps 1, 2, and 3 (up to 3.5). The LDH assay can be performed in triplicate, if preferred.
  2. Following step 3.3.6, add 1 mL of antibiotic-free medium (2.1.2) to each well in the 6-well plate.
  3. Repeat steps 2.4.3 and 2.4.4 until 3 wells plus 3n wells have been filled (where n is the number of time points measured).
  4. Incubate cells under conditions listed at step 2.2.8.
  5. At selected time points (e.g., 1, 3, 6, 12, and 24 hours) collect supernatant for measurement of LDH release according to manufacturer’s instructions
  6. At the same time points, uninfected macrophage cells will be lysed to determined value for maximum cytotoxicity.
  7. Calculate cytotoxicity as follows:

4. Sample collection

Co-culture and uninfected macrophage collection
1. Add 1 mL of cold PBS to the cells (from 3.3.6 and 3.4.2) and allow to sit at room temperature for 1 min.
2. Release cells from the plate by gentle tapping of the plate or gentle pipetting cold PBS against the cells.
  NOTE: Cell scraper should be avoided as this could cause lysis of cells.
3. Pipette resuspended cells into a 15 mL tube.
4. Centrifuge cells at 400 x g for 5 min at room temperature, and remove the supernatant.
5. Process cells (as detailed in step 5) immediately or flash frozen in liquid nitrogen and stored at -80 °C for later processing.

5. Cellular proteome

NOTE: Sufficient lysis must be optimized for the cell type analyzed (i.e., the quantity of cycles and amplitudes depends on cell pellet size and the power percentage of probe sonicator model).

Infected macrophage cell lysis
1. Resuspend pelleted cells (step 4.1.5) in 300 µL of 100 mM Tris-HCl (pH 8.5) consisting of a freshly dissolved protease inhibitor cocktail tablet.
  NOTE: One protease inhibitor cocktail tablet is added to 10 mL of ice cold 100 mM Tris-HCl (pH 8.5) prior to beginning the experiment.
2. Probe sonicate cells in an ice bath for 15 cycles of 30 s on and 30 s off, to lyse the cells.
3. Centrifuge cells briefly for 30 s at 400 x g, careful not to form a pellet, just to remove liquid on sides of tubes followed by transfer of sample to a 2 mL Lo-bind microcentrifuge tube.
4. Add 1:10 volume of 20% SDS to a final concentration of 2%.
5. Add 1:100 volume of 1 M dithiothreitol (DTT) to a final concentration of 10 mM and mix the sample thoroughly by pipetting, followed by incubation on a thermal heating block at 95 °C for 10 min at 800 rpm agitation. Next, cool to room temperature (cooling may be done on ice).
6. Add 1:10 volume of 0.55 M iodoacetamide (IAA) to obtain a final concentration of 55 mM and mix the sample thoroughly by pipetting. Incubate at room temperature in the dark for 20 min.
7. Add 100% acetone to obtain a final concentration of 80% acetone and store sample overnight at -20°C to precipitate proteins.
Protein digestion
1. The next day, collect the precipitate pellet by centrifugation for 10 min at 10,000 x g and 4 °C. Discard supernatant and wash pellet with 500 µL of 80% acetone. Repeat for a total of two washes. Air dry pellet at room temperature following washes.
2. Resolubilize protein pellet in 100 µL of 8 M urea/40 mM HEPES, to ensure complete solubilization, vortex or sonicate in an ice water bath for 15 cycles of 30 s on and 30 s off.
  NOTE: Adjustment of the volume of urea/HEPES is determined on size of precipitated cell pellet, if alterations occur all downstream volumes must be appropriately adjusted.
3. Quantify protein concentration using a protein assay (e.g., BCA protein assay) according to manufacturer’s instructions and adjust for background measurement by blank normalization with 8 M urea/40 mM HEPES.
4. Add 300 µL of 50 mM ammonium bicarbonate to obtain a final concentration of 2 M urea.
  NOTE: Opportunity to normalize protein concentration for downstream measurements, suggested to digest 100 µg of protein and store the remaining undigested sample by flash freezing in liquid nitrogen then store at -20 °C for short-term, or at -80 °C for longer-term.
5. Add 2:50 (v/w) enzyme-to-protein ratio of trypsin/Lys-C protease mixture on ice and gently tap tube to mix, incubate overnight at room temperature.
6. Following incubation, stop digestion by adding 1:10 volume stopping solution (20% acetonitrile, 6% trifluoroacetic acid) and centrifuge samples at 10,000 x g for 5 min at room temperature.
7. Collect supernatant (consists of digested peptides) and discard any pelleted debris or precipitate.
Peptide desalting
1. Activate a C18 Stop And Go Extraction (STAGE) tip (consisting of 3 layers C18 resin in a 200 µL pipette tip) by adding 100 µL of 100% acetonitrile and centrifuge at 1,000 x g for 2 min.
2. Equilibrate the C18 STAGE tip by adding 50 µL of Buffer B (80% (v/v) acetonitrile, 0.5% (v/v) acetic acid) and centrifuge at 1,000 x g for 2 min.
3. Equilibrate the C18 STAGE tip by adding 200 µL of Buffer A (2% (v/v) acetonitrile, 0.1% (v/v) trifluoroacetic acid, 0.5% (v/v) acetic acid) and centrifuge at 1,000 x g for 3-5 min.
4. Add ~50 µg of digested sample onto C18 STAGE tip and centrifuge at 1,000 x g for 3-5 min, or until sample has passed through spin column. Flash freeze the remaining digested sample in liquid nitrogen and store at -20°C, until needed.
5. Wash the C18 STAGE tip with 200 µL of Buffer A and centrifuge at 1,000 x g for 3-5 min.
6. Add 50 µL Buffer B to the C18 STAGE tip and centrifuge at 500 x g for 2 min. Collect eluted peptides in 0.2 mL PCR tubes.
7. Dry the eluted peptides in a vacuum centrifuge for 30-40 min at maximum speed. Completely dried samples may be stored at room temperature or at -20 °C until processed.
  NOTE: Dried and desalted peptides are appropriate sample submissions to mass spectrometry facilities for processing and may be shipped at ambient temperature.

6. Mass spectrometry

Reconstitute peptides in 10 µL Buffer A and measure concentration necessary to inject ~1.5 to 3 µg peptides onto the MS column. Amount of sample will depend on instrumentation.
Use a pre-determined gradient of acetonitrile (approx. 5-60%) in 0.5% acetic acid over a desired time (e.g., 2 h) to separate peptides by high-performance liquid chromatography, followed by electrospray ionization into the mass spectrometer.
Acquire MS scans using a high-resolution mass spectrometer in data dependent acquisition mode (m/z 300 to 1650).
NOTE: Gradient percentage and length are determined by the experiment and the user. Precise mass spectrometer settings depend on instrumentation, experiment, and user preference.

7. Data analysis

NOTE: MS data can be processed with numerous bioinformatics pipelines. In this protocol, we describe processing using the publicly available MaxQuant and Perseus platforms but recommend individual users to evaluate bioinformatic tools appropriate for the analysis, preference, and usage.

Load unprocessed data files (directly from the MS instrument) using MaxQuant software. Identify proteins under the modified MaxQuant search parameters; minimum of two unique peptides necessary for protein identification using a target decoy approach for a false discovery rate of 1%, implement label-free quantification with matching between runs, incorporate the organisms FASTA file obtained from the UniProt database (i.e., Cryptococcus neoformans H99, Mus musculus) to identify and quantify present peptides with the Andromeda search engine. Consult public MaxQuant online tools for detailed tutorials (see Table of Materials).
Upload the MaxQuant output file (‘proteingroups.txt’) into Perseus.
Filter rows containing potential false positives and contaminants, as well as only modified by site peptides with the ‘Filter rows based on categorical column’.
Transform data values on log₂ scale.
Create data set groups by providing categorical annotation to the rows.
Filter dataset by valid values to define a cut-off for protein detection.
NOTE: For a stringent and robust analysis a >50% identification rate is suggested. For example, if four replicates were processed then a minimum number of three valid values would be selected.
If preferred, impute data by replacing missing values from the normal distribution.
NOTE: Imputed values are optimized based on normal distribution and provides a random LFQ intensity to replace ‘NaN’ placeholders to simulate typical abundance measurements. This imputation provides a platform for downstream statistical analysis that require quantifiable data.
Add annotations to the protein rows (e.g. protein names, Gene Ontology terms).
NOTE: This Perseus workflow generated is now a robust framework for further bioinformatic processing, statistical analysis, and data visualization, consult public Perseus online tools for detailed tutorials (see Table of Materials).

Representative Results

The protocol outlined above enables identification and quantification of proteins derived from both the fungal pathogen, C. neoformans, and the host, macrophage cells, in a single experiment. Following co-culture, cells are collected and processed together and bioinformatically separated based on peptide profiles specific to each species. This is a powerful approach for defining the interplay of the host-pathogen relationship during infection. The number of proteins identified from the experiment depends on the starting material, sample preparation, gradient length, MS instrumentation, and bioinformatic workflow. Using the protocol described herein, we typically, identify approx. 8,000 proteins from the experiment with 1,500 C. neoformans proteins and 6,500 host proteins. Following processing of the datasets, we generate a Principal Component Analysis (PCA) plot to observe critical factors driving our analysis (Figure 2A). Here, we observe the largest component of separation among the data is infected vs. non-infected samples, as we would anticipate from the experimental design (component 1, 79.8%), and a second distinguishing feature of the samples is biological variability (component 2, 5.7%). Next, a Pearson correlation combined with hierarchical clustering by Euclidean distance groups the samples and enables quantification of the variability among the replicates (Figure 2B). In our analysis, we observed distinct clustering of infected vs. non-infected samples and replicate reproducibility ranging from 95-96%, representing good reproducibility among the replicates. Lastly, we perform a Student’s t-test corrected for multiple hypothesis testing using a Benjamini-Hochberg false discovery rate (FDR) (p-value ≤ 0.05; FDR = 0.01; s0 = 1) to identify proteins with significant differences in abundance during infection compared to non-infected controls (Figure 2C). Here, we identify 760 proteins with significant changes in abundance, including 117 host proteins with 86 showing a significant decrease and 31 showing a significant increase upon infection. Notably, we also observe significant increases in abundance of fungal proteins, as expected during infection. With these data, subsequent analyses, including network mapping, in silico characterization, and follow-up experiments are performed to validate the data and explore the molecular mechanisms underpinning the host response to virulence.

Figure 1: Mass spectrometry-based proteomics workflow for analysis of macrophages infected with C. neoformans. The workflow begins with collection of macrophages either infected with C. neoformans or non-infected controls. Proteins are extracted by mechanical and chemical disruption, followed by reduction and alkylation, acetone precipitation, and enzymatic digestion. Peptides are purified on C18 STAGE tips, separated by high-performance liquid chromatography, subjected to electrospray ionization, and measured on a high-resolution mass spectrometer. Data is processed, analyzed, and visualized in the publicly available bioinformatics platforms, MaxQuant (with Andromeda) and Perseus¹⁴^,¹⁵^,¹⁶. Experiments performed in biological quadruplicate. Please click here to view a larger version of this figure.

Figure 2: Representative data for C. neoformans infection of macrophage cells. (A) Principal component analysis demonstrates distinction between infected vs. non-infected macrophage (component 1, 79.8%), and clustering of biological replicates (component 2, 5.7%). (B) Heat map of Pearson correlation plotted by hierarchical clustering by Euclidean distance to show clustering of samples (infected vs. non-infected) and replicate reproducibility (>95%). (C) Volcano plot of identified proteins. Blue = fungal proteins with significant change in abundance; black = macrophage proteins with significant change in abundance. Student’s t-test (p-value ≤ 0.05), FDR = 0.01; s0 = 1. Please click here to view a larger version of this figure.

Discussion

Critical steps in the protocol include preparation of macrophage cells and collection of co-culture samples for protein processing with minimal disruption to the cells. It is important to perform steps of washing, inoculating, and removing adherent macrophage cells gently and carefully to prevent unnecessary lysis of cells prior to collection. Establishing the correct MOI for the experiment is also critical as inoculating with an excessively high MOI can cause rapid macrophage cell death and difficulty in collecting and processing samples for MS. Conversely, low MOI numbers will lead to fewer phagocytosed fungal cells and limited detection of fungal proteins in the biological system. To overcome such limitations, we recommend performing test experiments with varying MOIs, supported by cell death assays (e.g., LDH quantification) to define the number of fungal cells that initiate a host response but do not kill the host cells prior to collection. For the experiments, we aim to identify infection-associated fungal proteins, requiring a high MOI (100:1) to adequately detect fungal proteins among highly abundant host proteins. We routinely perform macrophage cytotoxicity assays to assess MOI impact on host cell death prior to performing the entire experiment. Timing of incubation of C. neoformans cells with macrophages is also crucial as the fungal cells may possess large polysaccharides capsules and therefore, macrophage require more time for engulfment. We select to use a co-culture incubation time of 3 h for the outlined experiment, as we found good coverage of the fungal proteome at this time point and to provide a ‘snap-shot’ of host response; however, researchers may wish to explore earlier and later time points and observe how timing impacts fungal and host protein production. Alternatively, priming the macrophage for opsonization has been performed to assist the phagocytic process¹⁷^,¹⁸.

For sample collection, if samples are not being processed immediately flash freezing in liquid nitrogen will help prevent unwanted degradation of proteins by proteases present in the samples. In addition, for MS-based proteomic analyses, the potential for contamination from dust or keratin (e.g., skin and hair cells) should be limited through the use of nitrile gloves, laboratory coats, and washing of all surfaces with 70% ethanol prior to commencing experiments. Moreover, the protocols outlined above are specific to the co-culture sample set described but can be modified for protein extraction workflow optimization, as needed¹⁹^,²⁰. Opportunities for modifying the workflow and optimizing for specific cell types include the selected mechanical and chemical disruption techniques, duration and temperature of enzymatic digestion, and separation of the samples. For instance, lysis of C. neoformans cells is typically performed by mechanical bead beating; however, we have observed increased proteome coverage following probe sonication and therefore, recommend it for mechanical disruption of the infected cells¹⁹^,²¹^,²². For example, fractionating peptide samples into aliquots by high-pH fractionation or size exclusion chromatography may reduce sample complexity and improve depth of coverage on the mass spectrometer⁹. Moreover, to achieve the depth of coverage to identify approx. 8,000 host and fungal proteins, a high-resolution mass spectrometry system is required (e.g., QExactive Exploris, Fusion Lumos, timsTOF Pro).

The use of LFQ for quantifying changes in protein levels during infection is a reliable and cost-effective approach for MS-based proteomics¹². It enables quantification of proteins by relative abundance without the need for additional sample processing steps. In addition, the analysis is performed following completion of the experiment, lending itself to universal applications and a flexible study design. However, limitations of LFQ include increased instrumentation time as samples must be run sequentially and cannot be combined, comparability between samples can be challenging, and the need for imputation to replace missing values can be high²³. Alternative approaches for quantifying protein abundance include metabolic (e.g., stable isotope labeling of amino acids in cell culture) and chemical (e.g., tandem mass tags) labeling techniques, which permit combining samples to reduce instrument time, provide reliable comparability among samples, and commonly lead to less missing values²⁴^,²⁵. However, such approaches require additional sample handling and processing steps, increased wet lab experiment complexity and time, as well requiring a fixed experimental design. To choose a quantification method optimal for proposed experiments, users should consider study design and comparability of samples, wet lab complexity and data analysis, as well as instrumentation time availability and cost.

The novelty of the protocol presented is the ability to define changes in the proteome from both the host and pathogen perspectives in a single experiment. The depth of coverage of both proteomes enables new insight into how the pathogen initiates infection and how the host responds in defense. Notably, the approach focuses on infection of the entire cell; however, opportunities to define sub-proteomes or compartmentalized responses to infection exist through combination with spatial localization techniques (e.g., centrifugation, enrichment, labeling)²⁶^,²⁷. Here, we detail the interaction between macrophages and the fungal pathogen, C. neoformans; however, the approach is universal, and can be applied to interactions between a diverse array of biological systems. For example, we recently used a similar workflow to uncover general and site-specific responses of neutrophils derived from a murine model of ocular keratitis²⁸^,²⁹^,³⁰. Moreover, the infectome datasets generated from this Protocol can be integrated with in vitro proteome and secretome profiling of a pathogen to detect proteins with altered abundance in the presence of host cells. Such proteins, referred to as infection-associated proteins, provide a plethora of known and novel virulence factors for further characterization, including temporal regulation, localization, and direct protein-protein interactions with the host. Overall, the outlined MS-based proteomics workflow provides a new opportunity to investigate the intricate relationship between host and pathogen in a single experiment with universality and comprehension not commonly available.

Divulgations

The authors have nothing to disclose.

Acknowledgements

The authors thank Dr. Jonathan Krieger of Bioinformatics Solutions Inc. for operating the mass spectrometer for representative experiments, as well as members of the Geddes-McAlister group for their assistance with experimental set-up and manuscript feedback. The authors acknowledge funding support, in part, from the Banting Research Foundation – The Jarislowsky Fellowship Discovery Award, New Frontiers Research Fund – Exploration (NFRFE-2019-00425), and the Canadian Foundation for Innovation (JELF 38798) for J.G.M., as well as NSERC Canada Graduate Scholarship – Masters and Ontario Graduate Scholarship for B.B., and Queen Elizabeth II Graduate Scholarship in Science and Technology for A.S..

Materials

100 mM Tris-HCl, pH 8.5	Fisher Scientific	BP152-1	Maintain at 4°C
60 x 15 mm Dish, Nunclon Delta	ThermoFisher Scientific	174888
6-well cell culture plate	ThermoFisher Scientific	140675
Acetonitrile, MS grade	Pierce	TS-51101
Acetic Acid	Sigma Aldrich	1099510001
Acetone	Sigma Aldrich	34850-1L
Ammonium bicarbonate (ABC)	ThermoFisher Scientific	A643-500	Prepare a stock 50 mM ABC solution, stable at room temperature for up to one month.
Bel-Art™ HiFlow Vacuum Aspirator Collection System	Fisher Scientific	13-717-300	Not essential, serological pipettes can be used to remove media.
C18 resin	3M Empore	3M2215
Cell Scrapers	VWR	10062-906	Not essential, other methods to release macrophage cells can be used.
Centrifugal vaccuum concentrator	Eppendorf	07-748-15
Complete Filtration Unit	VWR	10040-436
Conical falcon tubes (15 mL)	Fisher Scientific	05-539-12
Countess II Automated Cell Counter	ThermoFisher Scientific	AMQAX1000	Not essential, haemocytometer can be used as an alternative.
CytoTox 96 Non-Radioactive Cytotoxicity Assay	Promega	G1780
Dithiothreitol (DTT)	ThermoFisher Scientific	R0861	Prepare bulk stock solution of 1 M DTT, flash frozen and stored at -20 °C until use. Discard after each use (do not freeze-thaw repeatedly).
DMEM, high glucose, GlutaMAX Supplement	ThermoFisher Scientific	10566016
Fetal Bovine Serum (FBS)	ThermoFisher Scientific	12483020	Heat inactivate by incubating at 60°C for 30 minutes. Prepare 50 ml aliquots and flash freeze. Thaw prior to media preparation
Haemocytometer	VWR	15170-208
HEPES	Sigma Aldrich	H3375	Prepare 40 mM HEPES/8 M Urea in bulk stock solution, flash frozen, store at -20°C until use. Discard after each use (do not freeze-thaw repeatedly).
High-performance liquid chromatography system	ThermoFisher Scientific	LC140	Gradient length is based on sample complexity, recommended 120 min gradient for infectome samples.
High-resolution mass spectrometer	ThermoFisher Scientific	726042
Iodoacetamide (IAA)	Sigma Aldrich	I6125	Prepare 0.55 M bulk stock solution, flash frozen, store at -20°C until use. Discard after each use (do not freeze-thaw repeatedly).
L-glutamine	ThermoFisher Scientific	25030081	Can be aliquot and frozen for storage. Thaw prior to media preparation.
LoBind Microcentrifuge tubes	Eppendorf	13-698-794
MaxQuant	https://maxquant.org/		MaxQuant is a public platform that offers tutorials, such as the MaxQuant Summer School, outlining the computational analysis steps of large MS data sets
Microcentrifuge	Eppendorf	13864457
Penicillin : Streptomycin 10k/10k	VWR	CA12001-692	Can be aliquot and frozen for storage. Thaw prior to media preparation.
Peptide separation columns	ThermoFisher Scientific	ES803
Perseus Software	http://maxquant.net/perseus/
Phosphate Buffered Saline	VWR	CA12001-676	Puchase not required. PBS can also be prepared but sterile filteration must be performed before use.
Pierce BCA Protein Assay	ThermoFisher Scientific	23225
Pipette, Disposable Serological (10 mL)	Fisher Scientific	13-678-11E
Pipette, Disposable Serological (25 mL) Basix	Fisher Scientific	14955235
Probe sonciator	ThermoFisher Scientific	100-132-894
Protease inhibitor cocktail tablet	Roche	4693159001
Sodium dodecyl sulfate	ThermoFisher Scientific	28364	20% (w/v)
Spectrophotometer (Nanodrop)	ThermoFisher Scientific	ND-2000
STAGE tipping centrifuge	Sonation	STC-V2
Thermal Shaker	VWR	NO89232-908
Trifluoroacetic acid	ThermoFisher Scientific	85183
Trypsin/Lys-C protease mix, MS grade	Pierce	A40007	Maintain at -20 °C.
Ultrasonic bath	Bransonic	A89375-450	Stored in cold room (4C)
Urea	Sigma Aldrich	U1250-1KG	Prepare 40 mM HEPES/8 M Urea in bulk stock solution, flash frozen, store at -20 °C until use. Discard after each use (do not freeze-thaw repeatedly).
Yeast-extract peptone dextrose broth	BD Difco	BM20

References

Bongomin, F., Gago, S., Oladele, R., Denning, D. Global and Multi-National Prevalence of Fungal Diseases-Estimate Precision. Journal of Fungi. , (2017).
Tugume, L., et al. HIV-Associated cryptococcal meningitis occurring at relatively higher CD4 counts. Journal of Infectious Diseases. 219 (6), 877-883 (2019).
Rajasingham, R., et al. Global burden of disease of HIV-associated cryptococcal meningitis: an updated analysis. The Lancet Infectious Diseases. , (2017).
Perfect, J. R. The antifungal pipeline: A reality check. Nature Reviews Drug Discovery. , (2017).
Bermas, A., Geddes-McAlister, J. Combatting the evolution of anti-fungal resistance in Cryptococcus neoformans. Molecular Microbiology. , 1-14 (2020).
Geddes-McAlister, J., Shapiro, R. S. New pathogens, new tricks: Emerging, drug-resistant fungal pathogens and future prospects for antifungal therapeutics. Annals of the New York Academy of Sciences. , (2018).
Ball, B., Bermas, A., Carruthers-Lay, D., Geddes-McAlister, J. Mass Spectrometry-Based Proteomics of Fungal Pathogenesis, Host-Fungal Interactions, and Antifungal Development. Journal of Fungi. , (2019).
Sukumaran, A., et al. Decoding communication patterns of the innate immune system by quantitative proteomics. J Leukocyte Biol. , (2019).
Salas, D., Stacey, R. G., Akinlaja, M., Foster, L. J. Next-generation interactomics: Considerations for the use of co-elution to measure protein interaction networks. Molecular and Cellular Proteomics. , (2020).
Aebersold, R., Mann, M. Mass-spectrometric exploration of proteome structure and function. Nature. 537 (7620), 347-355 (2016).
Mann, M., Kulak, N. A., Nagaraj, N., Cox, J. The Coming Age of Complete, Accurate, and Ubiquitous Proteomes. Molecular Cell. 49 (4), 583-590 (2013).
Cox, J., et al. Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ. Molecular & Cellular Proteomics. 13 (9), 2513-2526 (2014).
Ankney, J. A., Muneer, A., Chen, X. Relative and Absolute Quantitation in Mass Spectrometry-Based Proteomics. Annual Review of Analytical Chemistry. , (2018).
Cox, J., Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nature Biotechnology. 26 (12), 1367-1372 (2008).
Tyanova, S., et al. The Perseus computational platform for comprehensive analysis of (prote)omics data. Nature Methods. 13 (9), 731-740 (2016).
Cox, J., et al. Andromeda: A peptide search engine integrated into the MaxQuant environment. Journal of Proteome Research. , (2011).
Zhong, Z., Pirofski, L. A. Opsonization of Cryptococcus neoformans by human anticryptococcal glucuronoxylomannan antibodies. Infection and Immunity. , (1996).
Nicola, A. M., et al. Macrophage autophagy in immunity to Cryptococcus neoformans and Candida albicans. Infection and Immunity. , (2012).
Ball, B., Geddes-McAlister, J. Quantitative Proteomic Profiling of Cryptococcus neoformans. Current Protocols in Microbiology. , (2019).
Geddes-McAlister, J., Gadjeva, M. Mass spectromerty-based quantitative proteomics of murine-derived polymorphonuclear neutrophils. Current Protocols in Immunology. , (2019).
Geddes, J. M. H., et al. Secretome profiling of Cryptococcus neoformans reveals regulation of a subset of virulence-associated proteins and potential biomarkers by protein kinase A. BMC Microbiology. , (2015).
Geddes, J. M. H., et al. Analysis of the protein kinase a-regulated proteome of Cryptococcus neoformans identifies a role for the ubiquitin-proteasome pathway in capsule formation. mBio. 7 (1), 1-15 (2016).
Al Shweiki, M. H. D. R., et al. Assessment of Label-Free Quantification in Discovery Proteomics and Impact of Technological Factors and Natural Variability of Protein Abundance. Journal of Proteome Research. , (2017).
Ong, S. E. Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics. Molecular & Cellular Proteomics. 1 (5), 376-386 (2002).
Thompson, A., et al. Tandem mass tags: A novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS. Analytical Chemistry. 75 (8), 1895-1904 (2003).
Borner, G. H. H. Organellar Maps Through Proteomic Profiling – A Conceptual Guide. Molecular & Cellular Proteomics. , (2020).
Gingras, A. C., Abe, K. T., Raught, B. Getting to know the neighborhood: using proximity-dependent biotinylation to characterize protein complexes and map organelles. Current Opinion in Chemical Biology. , (2019).
Kugadas, A., et al. Frontline Science: Employing enzymatic treatment options for management of ocular biofilm-based infections. Journal of Leukocyte Biology. , (2019).
Yeung, J., Gadjeva, M., Geddes-McAlister, J. Label-Free Quantitative Proteomics Distinguishes General and Site-Specific Host Responses to Pseudomonas aeruginosa Infection at the Ocular Surface. Proteomics. , (2020).
Yeung, J., Lamb, J., Krieger, J. R., Gadjeva, M., Geddes-McAlister, J. Quantitative Proteomic Profiling ofMurine Ocular Tissue and theExtracellular Environment. Current Protocols in Mouse Biology. 10 (83), (2020).

Play Video

PDF

DOI

DOWNLOAD MATERIALS LIST

Citer Cet Article

Ball, B., Sukumaran, A., Geddes-McAlister, J. Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions. J. Vis. Exp. (164), e61881, doi:10.3791/61881 (2020).