System and method for protein corona sensor array for early detection of diseases
The present disclosure provides sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.
1. A method of identifying a biomolecule fingerprint indicative of a cancer in a subject using a plurality of particles, wherein the method comprises:
exposing a complex biological sample from the subject to the plurality of particles to permit binding of proteins of the complex biological sample to the plurality of particles, thereby forming a plurality of biomolecule coronas comprising proteins bound to the plurality of particles, wherein the plurality of particles comprises at least three particles, wherein the at least three particles comprise 1,2-dioleoyl-sn-glycero-3-phospho-(1′-rac-glycerol) (DOPG), 1,2-Dioleoyl-3-trimethylammonium-propane)-(dioleoylphosphatidylethanolamine) (DOTAP), and DOPC-Cholesterol (CHOL), wherein at least one biomolecule corona of the plurality of biomolecule coronas corresponding to the at least one particle of the plurality of particles differs from a second biomolecule corona corresponding to the second particle of the plurality of particles;
assaying the plurality of biomolecule coronas to generate proteomic data for the plurality of biomolecule coronas, wherein the plurality of biomolecule coronas are assayed using mass spectrometry, and wherein the proteomic data comprises data collected from the plurality of biomolecule coronas;
combining the proteomic data from at least each of two or more biomolecule coronas of the plurality of biomolecule coronas to obtain the biomolecule fingerprint; and
identifying the biomolecule fingerprint indicative of the cancer in the subject, wherein the cancer is selected from the group consisting of: lung cancer, pancreas cancer, myeloma, meningioma, glioblastoma, and any combination thereof.
2. The method of claim 1 , wherein the complex biological sample comprises proteins and nucleic acids, and at least one of: lipids and polysaccharides.
3. The method of claim 2 , wherein the complex biological sample is plasma.
4. The method of claim 1 , wherein the biomolecule fingerprint differs from a second biomolecule fingerprint of a complex biological sample from a second subject not indicative of the cancer.
5. The method of claim 1 , wherein the combining the proteomic data comprises separating at least a subset of the proteins from the plurality of particles.
6. The method of claim 5 , wherein the combining the proteomic data further comprises identifying at least one of the proteins of the subset of the proteins separated from the plurality of particles.
7. The method of claim 1 , wherein the biomolecule fingerprint is indicative of the cancer in the subject with an accuracy of about 75% or greater.
8. The method of claim 1 , wherein the biomolecule fingerprint is indicative of the cancer in the subject with a sensitivity of about 75% or greater.
9. The method of claim 1 , wherein the biomolecule fingerprint is indicative of the cancer in the subject with a specificity of about 86% or greater.
10. The method of claim 1 , wherein the identifying comprises classifying the biomolecule fingerprint as indicative of the cancer using a trained classifier.
11. The method of claim 1 , wherein the biomolecule fingerprint comprises a combined composition or pattern of biomolecules from the two or more biomolecule coronas.
12. The method of claim 11 , wherein the combined composition or pattern of biomolecules comprises presence or absence of one or more proteins.
13. The method of claim 11 , wherein the combined composition or pattern of biomolecules comprises an amount of one or more proteins.
14. The method of claim 1 , wherein the complex biological sample comprises proteins and nucleic acids.
15. The method of claim 1 , wherein the complex biological sample is plasma.
16. The method of claim 1 , wherein the identifying comprises classifying the biomolecule fingerprint as indicative of the cancer using supervised classification.
17. The method of claim 1 , wherein the at least two or more biomolecule coronas have overlapping but distinct pools of proteins from the complex biological sample.
18. The method of claim 1 , wherein the at least three physicochemically distinct nanoparticles are superparamagnetic iron oxide particles.
19. The method of claim 1 , wherein the at least three physicochemically distinct nanoparticles are silica or polystyrene particles.
20. The method of claim 1 , wherein the at least three physicochemically distinct nanoparticles are iron oxide particles.
21. The method of claim 1 , wherein the at least three physicochemically distinct nanoparticles comprise particles selected from the group consisting of lipid particles, silica particles, polystyrene particles, gold particles, and iron oxide particles.
22. A method of detecting a biomolecule fingerprint indicative of a cancer in a subject using a plurality of particles, wherein the method comprises:
exposing a sample from the subject to at least three particle types with different physicochemical properties to permit binding of proteins of the sample to the at least three particle types to form biomolecule coronas, yielding at least three biomolecule coronas corresponding to the at least three particle types, wherein the at least three particles comprise 1,2-dioleoyl-sn-glycero-3-phospho-(1′-rac-glycerol) (DOPG), 1,2-Dioleoyl-3-trimethylammonium-propane)-(dioleoylphosphatidylethanolamine) (DOTAP), and DOPC-Cholesterol (CHOL);
assaying by mass spectrometry the at least three biomolecule coronas to generate proteomic data, wherein the proteomic data comprises data collected from the at least three biomolecule coronas;
combining the proteomic data from the at least three biomolecule coronas to obtain the biomolecule fingerprint; and
detecting the biomolecule fingerprint indicative of the cancer in the subject, wherein the cancer is selected from the group consisting of: lung cancer, pancreas cancer, myeloma, meningioma, glioblastoma, and any combination thereof.
23. The method of claim 22 , wherein the at least three particles further comprise nanoparticles or microparticles.
24. The method of claim 22 , wherein the sample is a complex biological sample.
25. The method of claim 24 , wherein the complex biological sample is plasma.
26. The method of claim 22 , wherein the detecting comprises classifying the biomolecule fingerprint as indicative of the cancer using supervised classification.