This repo contains most of the input files and the basic analyses used in the manuscript "Mag-Net: Rapid enrichment of membrane-bound particles enables high coverage quantitative analysis of the plasma proteome", which is currently located on bioRxiv under the DOI 10.1101/2023.06.10.544439. Any files not located here are freely and openly accessible on the Mag-Net page of PanoramaWeb. MS data files can also be found on ProteomeXchange under the unique identifier PXD042947.
Data was exported using the Skyline document grid. Analyses were perfomed using Skyline, R scripts, R Markdown files, and Jupyter Notebooks.
-
KingFisher Methods: Contains instrument methods for KingFisher System
-
bin: Contains scripts used to generate figures and preprocessing
-
csv: Contains csv files used as input and output for the scripts in the bin folder.
-
elibs: Contains elib files from analysis of the AD/PD data.
Scripts are located in the bin folder.
-
main.r: R script that orchestrates data wrangling and normalization:
-
R environment (version >= 3.6.0 recommended).
-
Required R packages:
readrdplyrlimmapcaMethodsR6
-
Ensure all required packages are installed before running the script. Use
install.packages("package_name")to install any missing packages. -
Usage: navigate to the project directory in your R environment and run the
main.rscript:source("main.r")
-
-
Fig6b.r: R script that is used to generate the following figure panels:
- Figure 6B
-
Fig6c.r: R script that is used to generate the following figure panels:
- Figure 6C
-
Fig6d.r: R script that is used to generate the following figure panels:
- Figure 6D
-
Fig7b_Fig7c.ipynb: Jupyter Notebook including machine learning that is used to generate the following figure panels:
- Figure 7B
- Supplementary figure S12
-
Fig2c_Fig4a_Fig4b.r: R script that is used to generate the following figure panels:
- Figure 3C
- Figure 4A
- Figure 4B
- Figure 7A
-
Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd: R Markdown file that is used to generate the following figure panels:
- Figure 2C
- Figure 3A
- Figure 3B
- Figure 5B
- Supplementary Figure S2
- Supplementary Figure S7
- Supplementary Figure S8
-
Fig_7C__SuppFigs_S7_S8_S9.Rmd: R Markdown file that is used to generate the following figure panels:
- Figure 7C
- Supplementary Figure S9
- Supplementary Figure S10
- Supplementary Figure S11
-
SuppFig_S3.Rmd: R Markdown file that is used to generate the following figure panels:
- Supplementary Figure S3
Input files for scripts are located in the csv folder. Any necessary input files that are too large to be uploaded to GitHub are freely accessible on the Mag-Net page of PanoramaWeb.
- EV_ADPD_Protein_Total_Areas.csv: Skyline document grid output of protein abundance from AD/PD experiment.
- TPAD HC_AD_PDD_PD-noMCI Plasma - Metadata.csv: Skyline document grid output of user-defined metadata for AD/PD experiment.
- EV_ADPD_Peptide_Total_Areas.csv: Skyline document grid output of peptide abundance from AD/PD experiment.
- TPAD HC_AD_PDD_PD-noMCI Plasma - Metadata.csv: Skyline document grid output of user-defined metadata for AD/PD experiment.
- EV_ADPD_Peptide_Total_Areas.csv: Skyline document grid output of peptide abundance from AD/PD experiment.
- TPAD HC_AD_PDD_PD-noMCI Plasma - Metadata.csv: Skyline document grid output of user-defined metadata for AD/PD experiment.
- EV_ADPD_Peptide_Total_Areas.csv: Skyline document grid output of peptide abundance from AD/PD experiment.
- EV_ADPD_Protein_Total_Areas.csv: Skyline document grid output of protein abundance from AD/PD experiment.
- TPAD HC_AD_PDD_PD-noMCI Plasma - Metadata.csv: Skyline document grid output of user-defined metadata for AD/PD experiment.
- 20230812-particlesADPD_pilot-nobatchProt4.csv: Skyline document grid output of protein abundance from AD/PD experiment.
- TPAD HC_AD_PDD_PD-noMCI Plasma - Metadata.csv: Skyline document grid output of user-defined metadata for AD/PD experiment.
- Sample 14-Particle Distribution.csv: Size distribution of particles isolated from human plasma by Mag-Net (Figure 3C). Measurements obtained using Nanosight NS300 and analyzed in Nanosight Nanoparticle Tracking Analysis software (Malvern Panalytical Ltd).
- EV and Plasma Protein Total Areas.csv: Protein areas used to generate the panels depicting the dynamic range of the plasma proteome (Figure 4A and 4B).
-
Protein_List.csv: Table used to extract and label of proteins of interest highlighted in Enrichment/Depletion plots (Figure 3A and 3B), in the volcano plot annotated with specific extracellular vesicle markers and common plamsa proteins. (Supplementary Figure S1), and AD/PD box plots (Figure 7C, Supplementary Figure S7-S9).
-
group-fc-Beads-SAXN-Particles vs HydN-Plasma-EncV2score-QuantReport_2023-03-05_13-29-41.csv: Skyline document grid output comparing SAX bead Mag-Net enriched fraction to Hydroxyl bead SP3-prepared total plasma samples. Used to generate the volcano plot with protein number annotations (Figure 2C), Enrichment/Depletion plots (Figure 3A and 3B), and in the volcano plot annotated with specific extracellular vesicle markers and common plamsa proteins. (Supplementary Figure S1).
-
MMCC_EV_Eclipse_Protein_Long_ProtAb_NoNorm.csv: Skyline document grid output of protein abundance without normalization applied.
-
MMCC_EV_Eclipse_figuresofmerit_proteins_NoNorm.csv: Limits of quantitation (LOQ) and Limits of Detection (LOD) generated using variation of python script "calculate_loq.py" in github repo iontrap_vs_orbitrap used in Supplementary Figure S5.
-
MMCC_EV_Eclipse_files_meta.csv: Skyline document grid output of user-defined metadata for MMCC experiment.
-
File located only on PanoramaWeb
- MMCC_EV_Eclipse_Peptide_Long_TAF_NoNorm.csv: File needed for Matrix-Matched Calibration Curve analysis (Figure 5B). Located in the "Reports" folder under Supplementary Files on the Mag-Net page of PanoramaWeb.
-
File located only on PanoramaWeb
- FT_TICnormalized_LongForm_Peptide_NormArea_Long.csv" Skyline document grid output of peptide normalized area without normalization applied (Supplementary Figure S6). Located in the "Reports" folder under Supplementary Files on the Mag-Net page of PanoramaWeb.
-
FT_LongForm_Reps_Meta.csv: Skyline document grid output of user-defined metadata for freeze-thaw experiment.
-
20230812-particlesADPD_pilot-batchadj-Prot.csv: Normalized protein abundance generated in post-processing.
-
mag-net_biomarker_rocs-final.csv: ROC values generated in post-processing.
-
TPAD HCN_ADD_PDD_PDCN Plasma - Metadata.csv: Skyline document grid output of user-defined metadata for AD/PD experiment.
-
Protein_List.csv: Table used to extract and label of proteins of interest highlighted in Enrichment/Depletion plots (Figure 3A and 3B), in the volcano plot annotated with specific extracellular vesicle markers and common plamsa proteins. (Supplementary Figure S1), and AD/PD box plots (Figure 7C, Supplementary Figure S7-S9).
-
2024May31_EnrichDeplet_TIC_FCtype.csv: Dated output from Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd with fold changes of Mag-Net enriched fraction relatice to matched total undepleted plasma.
-
EXOCARTA_PROTEIN_MRNA_DETAILS_5_2024_06_18.csv: List of proteins and mRNA data downloaded from the ExoCarta database on June 18, 2024.
-
EXOCARTA_PROTEIN_MRNA_DETAILS_5_idmapping_2024_06_18.csv: Protein list filtered from ExoCarta database after matching associated gene names to UniProt Accession Numbers.
Details of script used broken down for each figure panel.
-
Figure 1:
- 1A: Mag-Net approach schematic. Generated in an image processor. No script or files on github.
- 1B: Mag-Net method schematic. Generated in an image processor. No script or files on github.
-
Figure 2:
- 2A: Peptide detections using different analytical pipelines. No script or files on github.
- 2B: Protein detections using different analytical pipelines. No script or files on github.
- 2C: Volcano plot annotated with protein counts. Panel and protein counts generated in "Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd". Protein counts manually added using image processor.
- 2D: Image of top 10 Jensen Compartments from Enrichr tool. No script or files on github.
-
Figure 3:
- 3A: Enriched EV markers. Panel generated in "Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd".
- 3B: Depleted common plasma proteins. Panel generated in "Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd".
- 3C: Particle count distribution. Panel generated in "Fig2c_Fig4a_Fig4b.r".
- 3D: TEM image collected using a JEOL 1230 Transmission Electron Microscope (Peabody, MA). No script or files on github.
-
Figure 4:
- 4A: Dynamic range of the plasma proteome - plasma digestion. Panel generated in "Fig2c_Fig4a_Fig4b.r" and location of protein text labels manually optimized in image processor for better visualization.
- 4B: Dynamic range of the plasma proteome - Mag-Net enrichment. Panel generated in "Fig2c_Fig4a_Fig4b.r" and location of protein text labels manually optimized in image processor for better visualization.
-
Figure 5:
- 5A: MMCC visual summary. Generated in an image processor. No script or files on github.
- 5B: Half-violin/ box plot of all peptides in MMCC experiment. Panel generated in "Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd".
-
Figure 6:
- 6A: Schematic describing dementia cohort. Generated in an image processor. No script or files on github.
- 6B: Plotting peptide detections and FDR levels in each experimental and quality control sample. Panel generated in "Fig6b.r".
- 6C: Log2 peptide abundance of replicate Mag-Net preparation. Panel generated in "Fig6c.r".
- 6D: Effect of data processing on CVs. Panel generated in "Fig6d.r".
-
Figure 7:
- 7A: Heatmap of proteins with ROC > 0.7 from 6 pairwise analyses. Panel generated in "Fig2c_Fig4a_Fig4b.r".
- 7B: Example receiver operator characteristic (ROC) curve. Panel generated in "Fig7b_Fig7c.ipynb".
- 7C: Panel of protein-level box plots annotated with ROC and q-value of 10 proteins that were found to be specifically increased in ADD. Panel generated in "Fig_7C__SuppFigs_S7_S8_S9.Rmd".
-
Supplementary Figure S1:
- Method figure illustrating the two cycle Mag-Net protocol versus the single cycle total plasma PAC protocol. No script or files on github.
-
Supplementary Figure S2:
- Volcano plot annotated with specific extracellular vesicle markers and common plamsa proteins. Panel generated in "Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd".
-
Supplementary Figure S3:
- S3A: Histogram of the fold-changes of the 729 proteins found in Mag-Net that matched with any of the top 1000 proteins by abbundance in the ExoCarta human protein/mRNA database. Panel generated in "SuppFig_S3.Rmd".
- S3B: Histogram of the fold-changes of the 100 proteins found in Mag-Net that matched with any of the top 100 proteins by abbundance in the ExoCarta human protein/mRNA database. Panel generated in "SuppFig_S3.Rmd".
- S3C: Labeled volcano plot of the fold-changes of the 729 proteins found in Mag-Net that matched with any of the top 1000 proteins by abbundance in the ExoCarta human protein/mRNA database. Labeled top 15 most frequently identified proteins that are enriched, and the 5 most frequently identified proteins that are depleted in Mag-Net. Panel generated in "SuppFig_S3.Rmd".
- S3D: Labeled volcano plot of the fold-changes of the 100 proteins found in Mag-Net that matched with any of the top 1000 proteins by abbundance in the ExoCarta human protein/mRNA database. Labeled top 15 most frequently identified proteins that are enriched, and the only 3 most frequently identified proteins that are depleted in Mag-Net. Panel generated in "SuppFig_S3.Rmd".
-
Supplementary Figure S4:
- Image of volcano plot exported from Skyline comparing hydroxyl and SAX beads on the same unfractionated plasma.
-
Supplementary Figure S5:
- S5A: Image of volcano plot exported from Skyline comparing total plasma digested using hydroxyl beads and the same plasma processed with Mag-Net using hydroxyl beads. No script or files on github.
- S5B: Image of top 10 Jensen Compartments. No script or files on github.
-
Supplementary Figure S6:
- S6A: Image of top 10 GO terms in Hydroxyl bead Mag-Net capture. No script or files on github.
- S6B: Image of volcano plot exported from Skyline comparing plasma processed with Mag-Net using both hydroxyl and SAX beads. No script or files on github.
- S6C: Image of top 10 GO terms in SAX bead Mag-Net capture. No script or files on github.
-
Supplementary Figure S7:
- S7A: MMCC visual summary. Generated in an image processor. No script or files on github.
- S7B: CD9 - Protein abundance of replicate injections exported from Skyline document grid. Limit of quantitation (LOQ), and Limit of Detection (LOD) calculated using variation of python script "calculate_loq.py" in github repo iontrap_vs_orbitrap. Panel generated in "Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd".
- S7C: NCAM1 - Protein abundance of replicate injections exported from Skyline document grid. Limit of quantitation (LOQ), and Limit of Detection (LOD) calculated using variation of python script "calculate_loq.py" in github repo iontrap_vs_orbitrap. Panel generated in "Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd".
- S7D: CD9 - Protein abundance of replicate injections exported from Skyline document grid. Limit of quantitation (LOQ), and Limit of Detection (LOD) calculated using variation of python script "calculate_loq.py" in github repo iontrap_vs_orbitrap. Panel generated in "Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd".
-
Supplementary Figure S8:
- Half-violin/ box plot of all peptides in FT experiment. Panel generated in "Figs_2C_3A_3B_5B__SuppFigs_S1_S5_S6.Rmd".
-
Supplementary Figure S9:
- Panel of protein-level box plots annotated with ROC and q-value of 12 proteins that were found to be specifically increased in ADD and involved in vesicle mediated transport. Panel generated in "Fig_7C__SuppFigs_S7_S8_S9.Rmd".
-
Supplementary Figure S10:
- Panel of protein-level box plots annotated with ROC and q-value of 8 proteins that were found to be specifically increased in ADD and are involved in lipid metabolism. Panel generated in "Fig_7C__SuppFigs_S7_S8_S9.Rmd".
-
Supplementary Figure S11:
- Panel of protein-level box plots annotated with ROC and q-value of 16 proteins that were found to be specifically increased in ADD and are involved in Ubiquitin-proteasome mediated protein degradation. Panel generated in "Fig_7C__SuppFigs_S7_S8_S9.Rmd".
-
Supplementary Figure S12:
- Panel of 5 ROC curves illustrating development of an SVM classifier. Panel generated in "Fig7b_Fig7c.ipynb".