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Proteomic profiling is the large-scale analysis of proteins, which is essential for understanding biological processes and disease mechanisms. A proteomic profile may be employed to discover or diagnose diseases or conditions, which can monitor responses to therapeutic measures. Sometimes, it is also referred to as a protein expression profile and protein signature. [1] Proteome profiling analysis is the analysis of the entire proteome from complex samples such as complete cells, tissues, and body fluids. It is most used for identifying as many peptides and proteins as possible. Proteome profiling analysis based on mass spectrometry (MS) can provide reference information for high-throughput quantitative proteomic s and protein modification analysis. [2] Recent studies have compared various platforms, such as SomaScan and Olink, and highlighted differences in precision, accuracy, and phenotypic associations across diverse cohorts. [3]
Advanced emerging technologies in proteomics profiling are revolutionizing sensitivity, speed, and data analysis capabilities. Some key milestones in advances have been:
Techniques of SCOPE-MS and prioritized Single Cell ProtEomics (pSCoPE) allow for deep analysis of individual cells and thus increase the proteome depth and resolution. [4]
Thermo Fisher's Orbitrap Astral enables the measurement of thousands of proteins from minimal samples in under 20 minutes.
Artificial Intelligence is being used to predict and validate mass spectrometry results, thereby improving accuracy and efficiency in data interpretation.
High-throughput multiplex assays allow for the simultaneous detection of multiple proteins and thus improve profiling capabilities. This is opening up avenues to even more clinical applications with increased precision and biology. [5]
Proteomics profiling has been used in the discovery of biomarkers for diseases. A study conducted with the use of the Olink Proteomics Platform found that patients with glaucoma had differently expressed metabolic proteins, thus the potential of proteomics in early disease detection and development of a therapeutic strategy. [6]
Global proteome profiling is the direct representation of the protein set in an organism, organ, tissues, or an organelle. Among the primary goals of proteomic analysis is to compare and determine the relative quantities of proteins under a defined set of conditions. Over the last 4 decades, two-dimensional gel electrophoresis has gained popularity because it successfully helped differential proteomics provide visual proof of changes in protein abundance that cannot be predicted from genome analysis. Each protein spot on a 2-DE gel can be analyzed based on its abundance, location, or even presence and absence. This flexible gel-based method combines and makes use of the best principle for separation of protein complexes based on their charge and mass, visual mapping coupled with successful mass spectrometric identification of individual proteins. [7]
Latest developments in proteomics have paved the way for the discovery of techniques such as colocalization analysis (COLA), which detects protein–protein co-localizations at a global scale. This helps map interactome dynamics under various conditions, making it possible to understand protein interactions and functions. [8] Proteomic profiling relates to each individual's physiological changes by the monitoring of protein expression variations according to factors such as aging, exercise, and environmental conditions. For example, in aging muscle, proteomic analysis showed changes in protein isoforms and altered metabolic pathways that indicate adaptations in muscle functions and energy metabolism. [9]
In addition, proteomic approaches are very useful in characterizing tumor microenvironments, which show how populations of cells influence cancer progression through protein interactions. Proteomics is especially well suited to the analysis of the microenvironment, considering that the origin of many components of the microenvironment is host tissue, with no appreciable genomic alteration detectable, and that the release and shedding of proteins from the surface of cancer cells contribute significantly, all of which cannot be predicted strictly from genomic analysis. It especially helped advance proteomic analysis toward a better understanding of how tumor cells manipulate their microenvironment by producing structural proteins of ECM, modifying proteins of ECM, and proteases. Proteomics has also further advanced the global identification of protease targets. [10]
Proteomic profiling is important in the advancement of our understanding of biological processes and mechanisms of disease. It helps in pathogen identification, thereby enhancing diagnostics and vaccine development by revealing protein interactions and functions related to virulence. [11] Protein profiling has greatly helped in the early detection of cancers by using specific proteins found in the blood plasma. Recent studies have developed proteome-based tests with a high degree of accuracy in the detection of early stage cancers, using panels of proteins that distinguish cancerous from normal samples. For example, it has recently been demonstrated that using panels of ten sex-specific proteins, early-stage cancer could be identified with up to 93% accuracy in males and 84% in females at high specificity levels. [12]
A proteome is the entire set of proteins that is, or can be, expressed by a genome, cell, tissue, or organism at a certain time. It is the set of expressed proteins in a given type of cell or organism, at a given time, under defined conditions. Proteomics is the study of the proteome.
Proteomics is the large-scale study of proteins. Proteins are vital macromolecules of all living organisms, with many functions such as the formation of structural fibers of muscle tissue, enzymatic digestion of food, or synthesis and replication of DNA. In addition, other kinds of proteins include antibodies that protect an organism from infection, and hormones that send important signals throughout the body.
Biomarker discovery is a medical term describing the process by which biomarkers are discovered. Many commonly used blood tests in medicine are biomarkers. There is interest in biomarker discovery on the part of the pharmaceutical industry; blood-test or other biomarkers could serve as intermediate markers of disease in clinical trials, and as possible drug targets.
Immunoproteomics is the study of large sets of proteins (proteomics) involved in the immune response.
Surface-enhanced laser desorption/ionization (SELDI) is a soft ionization method in mass spectrometry (MS) used for the analysis of protein mixtures. It is a variation of matrix-assisted laser desorption/ionization (MALDI). In MALDI, the sample is mixed with a matrix material and applied to a metal plate before irradiation by a laser, whereas in SELDI, proteins of interest in a sample become bound to a surface before MS analysis. The sample surface is a key component in the purification, desorption, and ionization of the sample. SELDI is typically used with time-of-flight (TOF) mass spectrometers and is used to detect proteins in tissue samples, blood, urine, or other clinical samples, however, SELDI technology can potentially be used in any application by simply modifying the sample surface.
Glycoproteomics is a branch of proteomics that identifies, catalogs, and characterizes proteins containing carbohydrates as a result of post-translational modifications. Glycosylation is the most common post-translational modification of proteins, but continues to be the least studied on the proteome level. Mass spectrometry (MS) is an analytical technique used to improve the study of these proteins on the proteome level. Glycosylation contributes to several concerted biological mechanisms essential to maintaining physiological function. The study of the glycosylation of proteins is important to understanding certain diseases, like cancer, because a connection between a change in glycosylation and these diseases has been discovered. To study this post-translational modification of proteins, advanced mass spectrometry techniques based on glycoproteomics have been developed to help in terms of therapeutic applications and the discovery of biomarkers.
MALDI mass spectrometry imaging (MALDI-MSI) is the use of matrix-assisted laser desorption ionization as a mass spectrometry imaging technique in which the sample, often a thin tissue section, is moved in two dimensions while the mass spectrum is recorded. Advantages, like measuring the distribution of a large amount of analytes at one time without destroying the sample, make it a useful method in tissue-based study.
In analytical chemistry, a tandem mass tag (TMT) is a chemical label that facilitates sample multiplexing in mass spectrometry (MS)-based quantification and identification of biological macromolecules such as proteins, peptides and nucleic acids. TMT belongs to a family of reagents referred to as isobaric mass tags which are a set of molecules with the same mass, but yield reporter ions of differing mass after fragmentation. The relative ratio of the measured reporter ions represents the relative abundance of the tagged molecule, although ion suppression has a detrimental effect on accuracy. Despite these complications, TMT-based proteomics has been shown to afford higher precision than label-free quantification. In addition to aiding in protein quantification, TMT tags can also increase the detection sensitivity of certain highly hydrophilic analytes, such as phosphopeptides, in RPLC-MS analyses.
Protein mass spectrometry refers to the application of mass spectrometry to the study of proteins. Mass spectrometry is an important method for the accurate mass determination and characterization of proteins, and a variety of methods and instrumentations have been developed for its many uses. Its applications include the identification of proteins and their post-translational modifications, the elucidation of protein complexes, their subunits and functional interactions, as well as the global measurement of proteins in proteomics. It can also be used to localize proteins to the various organelles, and determine the interactions between different proteins as well as with membrane lipids.
Shotgun proteomics refers to the use of bottom-up proteomics techniques in identifying proteins in complex mixtures using a combination of high performance liquid chromatography combined with mass spectrometry. The name is derived from shotgun sequencing of DNA which is itself named after the rapidly expanding, quasi-random firing pattern of a shotgun. The most common method of shotgun proteomics starts with the proteins in the mixture being digested and the resulting peptides are separated by liquid chromatography. Tandem mass spectrometry is then used to identify the peptides.
Top-down proteomics is a method of protein identification that either uses an ion trapping mass spectrometer to store an isolated protein ion for mass measurement and tandem mass spectrometry (MS/MS) analysis or other protein purification methods such as two-dimensional gel electrophoresis in conjunction with MS/MS. Top-down proteomics is capable of identifying and quantitating unique proteoforms through the analysis of intact proteins. The name is derived from the similar approach to DNA sequencing. During mass spectrometry intact proteins are typically ionized by electrospray ionization and trapped in a Fourier transform ion cyclotron resonance, quadrupole ion trap or Orbitrap mass spectrometer. Fragmentation for tandem mass spectrometry is accomplished by electron-capture dissociation or electron-transfer dissociation. Effective fractionation is critical for sample handling before mass-spectrometry-based proteomics. Proteome analysis routinely involves digesting intact proteins followed by inferred protein identification using mass spectrometry (MS). Top-down MS (non-gel) proteomics interrogates protein structure through measurement of an intact mass followed by direct ion dissociation in the gas phase.
Bottom-up proteomics is a common method to identify proteins and characterize their amino acid sequences and post-translational modifications by proteolytic digestion of proteins prior to analysis by mass spectrometry. The major alternative workflow used in proteomics is called top-down proteomics where intact proteins are purified prior to digestion and/or fragmentation either within the mass spectrometer or by 2D electrophoresis. Essentially, bottom-up proteomics is a relatively simple and reliable means of determining the protein make-up of a given sample of cells, tissues, etc.
Quantitative proteomics is an analytical chemistry technique for determining the amount of proteins in a sample. The methods for protein identification are identical to those used in general proteomics, but include quantification as an additional dimension. Rather than just providing lists of proteins identified in a certain sample, quantitative proteomics yields information about the physiological differences between two biological samples. For example, this approach can be used to compare samples from healthy and diseased patients. Quantitative proteomics is mainly performed by two-dimensional gel electrophoresis (2-DE), preparative native PAGE, or mass spectrometry (MS). However, a recent developed method of quantitative dot blot (QDB) analysis is able to measure both the absolute and relative quantity of an individual proteins in the sample in high throughput format, thus open a new direction for proteomic research. In contrast to 2-DE, which requires MS for the downstream protein identification, MS technology can identify and quantify the changes.
Leucine-rich alpha-2-glycoprotein 1 is a protein which in humans is encoded by the gene LRG1.
Selected reaction monitoring (SRM), also called multiple reaction monitoring (MRM), is a method used in tandem mass spectrometry in which an ion of a particular mass is selected in the first stage of a tandem mass spectrometer and an ion product of a fragmentation reaction of the precursor ions is selected in the second mass spectrometer stage for detection.
Secretomics is a type of proteomics which involves the analysis of the secretome—all the secreted proteins of a cell, tissue or organism. Secreted proteins are involved in a variety of physiological processes, including cell signaling and matrix remodeling, but are also integral to invasion and metastasis of malignant cells. Secretomics has thus been especially important in the discovery of biomarkers for cancer and understanding molecular basis of pathogenesis. The analysis of the insoluble fraction of the secretome has been termed matrisomics.
In cell biology, single-cell analysis and subcellular analysis refer to the study of genomics, transcriptomics, proteomics, metabolomics, and cell–cell interactions at the level of an individual cell, as opposed to more conventional methods which study bulk populations of many cells.
Zeng Rong is a Chinese biochemist researching and developing technology for proteomics research. She is currently a professor at the Institute of Biochemistry and Cell Biology at the Shanghai Institutes for Biological Sciences.
Chemoproteomics entails a broad array of techniques used to identify and interrogate protein-small molecule interactions. Chemoproteomics complements phenotypic drug discovery, a paradigm that aims to discover lead compounds on the basis of alleviating a disease phenotype, as opposed to target-based drug discovery, in which lead compounds are designed to interact with predetermined disease-driving biological targets. As phenotypic drug discovery assays do not provide confirmation of a compound's mechanism of action, chemoproteomics provides valuable follow-up strategies to narrow down potential targets and eventually validate a molecule's mechanism of action. Chemoproteomics also attempts to address the inherent challenge of drug promiscuity in small molecule drug discovery by analyzing protein-small molecule interactions on a proteome-wide scale. A major goal of chemoproteomics is to characterize the interactome of drug candidates to gain insight into mechanisms of off-target toxicity and polypharmacology.
Paola Picotti is an Italian biochemist who is Professor for Molecular Systems Biology at ETH Zürich. She is Deputy Head of the Institute for Molecular Systems Biology. Her research investigates how the conformational changes of proteins impact molecular networks with cells. She received numerous awarded awards, among which the 2019 EMBO Gold Medal.
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