Mass Spectrometry
Tandem Mass Spectrometry
Electrophoresis, Gel, Two-Dimensional
Databases, Protein
Isotope Labeling
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Proteins
Protein Array Analysis
Computational Biology
Peptides
Software
Sequence Analysis, Protein
Peptide Mapping
Amino Acid Sequence
Reproducibility of Results
Molecular Sequence Data
Algorithms
Protein Processing, Post-Translational
Gene Expression Profiling
Biological Markers
Spectrometry, Mass, Electrospray Ionization
Two-Dimensional Difference Gel Electrophoresis
Metabolomics
Chemical Fractionation
Systems Biology
Metabolic Networks and Pathways
Database Management Systems
Blood Proteins
Oxygen Isotopes
User-Computer Interface
Protein Interaction Maps
Search Engine
Internet
Cluster Analysis
Tumor Markers, Biological
Complex Mixtures
Blotting, Western
Neoplasm Proteins
Models, Biological
Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model approach. (1/9620)
BACKGROUND: Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include the development of classification systems capable of distinguishing between subfamilies within a structurally and functionally diverse superfamily. This would be helpful in elucidating sequence-structure-function relationships of proteins. RESULTS: Here, we present a method to diagnose sequences into subfamilies by employing hidden Markov models (HMMs) to find windows of residues that are distinct among subfamilies (called signatures). The method starts with a multiple sequence alignment (MSA) of the subfamily. Then, we build a HMM database representing all sliding windows of the MSA of a fixed size. Finally, we construct a HMM histogram of the matches of each sliding window in the entire superfamily. To illustrate the efficacy of the method, we have applied the analysis to find subfamily signatures in two well-studied superfamilies: the cadherin and the EF-hand protein superfamilies. As a corollary, the HMM histograms of the analyzed subfamilies revealed information about their Ca2+ binding sites and loops. CONCLUSIONS: The method is used to create HMM databases to diagnose subfamilies of protein superfamilies that complement broad profile and motif databases such as BLOCKS, PROSITE, Pfam, SMART, PRINTS and InterPro. (+info)Protein interactions: two methods for assessment of the reliability of high throughput observations. (2/9620)
High throughput methods for detecting protein interactions require assessment of their accuracy. We present two forms of computational assessment. The first method is the expression profile reliability (EPR) index. The EPR index estimates the biologically relevant fraction of protein interactions detected in a high throughput screen. It does so by comparing the RNA expression profiles for the proteins whose interactions are found in the screen with expression profiles for known interacting and non-interacting pairs of proteins. The second form of assessment is the paralogous verification method (PVM). This method judges an interaction likely if the putatively interacting pair has paralogs that also interact. In contrast to the EPR index, which evaluates datasets of interactions, PVM scores individual interactions. On a test set, PVM identifies correctly 40% of true interactions with a false positive rate of approximately 1%. EPR and PVM were applied to the Database of Interacting Proteins (DIP), a large and diverse collection of protein-protein interactions that contains over 8000 Saccharomyces cerevisiae pairwise protein interactions. Using these two methods, we estimate that approximately 50% of them are reliable, and with the aid of PVM we identify confidently 3003 of them. Web servers for both the PVM and EPR methods are available on the DIP website (dip.doe-mbi.ucla.edu/Services.cgi). (+info)Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. (3/9620)
Quantitative proteomics has traditionally been performed by two-dimensional gel electrophoresis, but recently, mass spectrometric methods based on stable isotope quantitation have shown great promise for the simultaneous and automated identification and quantitation of complex protein mixtures. Here we describe a method, termed SILAC, for stable isotope labeling by amino acids in cell culture, for the in vivo incorporation of specific amino acids into all mammalian proteins. Mammalian cell lines are grown in media lacking a standard essential amino acid but supplemented with a non-radioactive, isotopically labeled form of that amino acid, in this case deuterated leucine (Leu-d3). We find that growth of cells maintained in these media is no different from growth in normal media as evidenced by cell morphology, doubling time, and ability to differentiate. Complete incorporation of Leu-d3 occurred after five doublings in the cell lines and proteins studied. Protein populations from experimental and control samples are mixed directly after harvesting, and mass spectrometric identification is straightforward as every leucine-containing peptide incorporates either all normal leucine or all Leu-d3. We have applied this technique to the relative quantitation of changes in protein expression during the process of muscle cell differentiation. Proteins that were found to be up-regulated during this process include glyceraldehyde-3-phosphate dehydrogenase, fibronectin, and pyruvate kinase M2. SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system. (+info)Biophysical characterization of proteins in the post-genomic era of proteomics. (4/9620)
Proteomics focuses on the high throughput study of the expression, structure, interactions, and, to some extent, function of large numbers of proteins. A true understanding of the functioning of a living cell also requires a quantitative description of the stoichiometry, kinetics, and energetics of each protein complex in a cellular pathway. Classical molecular biophysical studies contribute to understanding of these detailed properties of proteins on a smaller scale than does proteomics in that individual proteins are usually studied. This perspective article deals with the role of biophysical methods in the study of proteins in the proteomic era. Several important physical biochemical methods are discussed briefly and critiqued from the standpoint of information content and data acquisition. The focus is on conformational changes and macromolecular assembly, the utility of dynamic and static structural data, and the necessity to combine experimental approaches to obtain a full functional description. The conclusions are that biophysical information on proteins is a useful adjunct to "standard" proteomic methods, that data can be obtained by high throughput technology in some instances, but that hypothesis-driven experimentation may frequently be required. (+info)A proteomic analysis of human cilia: identification of novel components. (5/9620)
Cilia play an essential role in protecting the respiratory tract by providing the force necessary for mucociliary clearance. Although the major structural components of human cilia have been described, a complete understanding of cilia function and regulation will require identification and characterization of all ciliary components. Estimates from studies of Chlamydomonas flagella predict that an axoneme contains > or = 250 proteins. To identify all the components of human cilia, we have begun a comprehensive proteomic analysis of isolated ciliary axonemes. Analysis by two-dimensional (2-D) PAGE resulted in a highly reproducible 2-D map consisting of over 240 well resolved components. Individual protein spots were digested with trypsin and sequenced using liquid chromatography/tandem mass spectrometry (LC/MS/MS). Peptide matches were obtained to 38 potential ciliary proteins by this approach. To identify ciliary components not resolved by 2-D PAGE, axonemal proteins were separated on a one-dimensional gel. The gel lane was divided into 45 individual slices, each of which was analyzed by LC/MS/MS. This experiment resulted in peptide matches to an additional 110 proteins. In a third approach, preparations of isolated axonemes were digested with Lys-C, and the resulting peptides were analyzed directly by LC/MS/MS or by multidimensional LC/MS/MS, leading to the identification of a further 66 proteins. Each of the four approaches resulted in the identification of a subset of the proteins present. In total, sequence data were obtained on over 1400 peptides, and over 200 potential axonemal proteins were identified. Peptide matches were also obtained to over 200 human expressed sequence tags. As an approach to validate the mass spectrometry results, additional studies examined the expression of several identified proteins (annexin I, sperm protein Sp17, retinitis pigmentosa protein RP1) in cilia or ciliated cells. These studies represent the first proteomic analysis of the human ciliary axoneme and have identified many potentially novel components of this complex organelle. (+info)A proteomics approach for the identification of DNA binding activities observed in the electrophoretic mobility shift assay. (6/9620)
Transcription factors lie at the center of gene regulation, and their identification is crucial to the understanding of transcription and gene expression. Traditionally, the isolation and identification of transcription factors has been a long and laborious task. We present here a novel method for the identification of DNA-binding proteins seen in electrophoretic mobility shift assay (EMSA) using the power of two-dimensional electrophoresis coupled with mass spectrometry. By coupling SDS-PAGE and isoelectric focusing to EMSA, the molecular mass and pI of a protein complex seen in EMSA were estimated. Candidate proteins were then identified on a two-dimensional array at the predetermined pI and molecular mass coordinates and identified by mass spectrometry. We show here the successful isolation of a functionally relevant transcription factor and validate the identity through EMSA supershift analysis. (+info)A proteomics approach to identify proliferating cell nuclear antigen (PCNA)-binding proteins in human cell lysates. Identification of the human CHL12/RFCs2-5 complex as a novel PCNA-binding protein. (7/9620)
Proliferating cell nuclear antigen (PCNA), a eukaryotic DNA replication factor, functions not only as a processivity factor for DNA polymerase delta but also as a binding partner for multiple other factors. To understand its broad significance, we have carried out systematic studies of PCNA-binding proteins by a combination of affinity chromatography and mass spectrometric analyses. We detected more than 20 specific protein bands of various intensities in fractions bound to PCNA-fixed resin from human cell lysates and determined their peptide sequences by liquid chromatography and tandem mass spectrometry. A search with human protein data bases identified 12 reported PCNA-binding proteins from both cytoplasmic (S100 lysate) and nuclear extracts with substantial significance and four more solely from the nuclear preparation. CHL12, a factor involved in checkpoint response and chromosome cohesion, was a novel example found in both lysates. Further studies with recombinant proteins demonstrated that CHL12 and small subunits of replication factor C form a complex that interacts with PCNA. (+info)Peptidomics of the larval Drosophila melanogaster central nervous system. (8/9620)
Neuropeptides regulate most, if not all, biological processes in the animal kingdom, but only seven have been isolated and sequenced from Drosophila melanogaster. In analogy with the proteomics technology, where all proteins expressed in a cell or tissue are analyzed, the peptidomics approach aims at the simultaneous identification of the whole peptidome of a cell or tissue, i.e. all expressed peptides with their posttranslational modifications. Using nanoscale liquid chromatography combined with tandem mass spectrometry and data base mining, we analyzed the peptidome of the larval Drosophila central nervous system at the amino acid sequence level. We were able to provide biochemical evidence for the presence of 28 neuropeptides using an extract of only 50 larval Drosophila central nervous systems. Eighteen of these peptides are encoded in previously cloned or annotated precursor genes, although not all of them were predicted correctly. Eleven of these peptides were never purified before. Eight other peptides are entirely novel and are encoded in five different, not yet annotated genes. This neuropeptide expression profiling study also opens perspectives for other eukaryotic model systems, for which genome projects are completed or in progress. (+info)In the medical field, the proteome refers to the complete set of proteins expressed by an organism, tissue, or cell type. It includes all the proteins that are present in a cell or organism, including those that are actively functioning and those that are not. The proteome is made up of the products of all the genes in an organism's genome, and it is dynamic, constantly changing in response to various factors such as environmental stimuli, developmental stage, and disease states. The study of the proteome is an important area of research in medicine, as it can provide insights into the function and regulation of cellular processes, as well as the molecular mechanisms underlying various diseases. Techniques such as mass spectrometry and proteomics analysis are used to identify and quantify the proteins present in a sample, allowing researchers to study changes in the proteome in response to different conditions. This information can be used to develop new diagnostic tools and treatments for diseases, as well as to better understand the underlying biology of various disorders.
Chromatography, Liquid, also known as liquid chromatography (LC), is a separation technique used in the medical field to separate and analyze complex mixtures of compounds. It involves the use of a liquid mobile phase to separate and separate components of a mixture based on their chemical properties, such as polarity, molecular weight, and charge. In liquid chromatography, the mixture is introduced into a column packed with a stationary phase, which is typically a solid or a liquid. The mobile phase is then pumped through the column, and the components of the mixture are separated based on their interactions with the stationary and mobile phases. The separated components are then detected and quantified using various detection methods, such as UV-Vis absorbance, fluorescence, or mass spectrometry. Liquid chromatography is widely used in the medical field for a variety of applications, including drug discovery and development, quality control of pharmaceuticals, analysis of biological samples, and environmental monitoring. It is a powerful and versatile technique that can be used to separate and analyze a wide range of compounds, from small molecules to large proteins and polymers.
In the medical field, "Databases, Protein" refers to digital repositories of information about proteins, which are large, complex molecules that play a crucial role in the functioning of cells and organisms. These databases are used to store and organize data on the structure, function, and interactions of proteins, as well as information on their genetic origins and evolutionary relationships. Protein databases are an important resource for researchers in fields such as biochemistry, molecular biology, and genetics, as they provide a wealth of information that can be used to study the structure and function of proteins, as well as their roles in disease and other biological processes. Some of the most well-known protein databases include the Protein Data Bank (PDB), the UniProt Knowledgebase, and the National Center for Biotechnology Information (NCBI) Protein database.
Proteins are complex biomolecules made up of amino acids that play a crucial role in many biological processes in the human body. In the medical field, proteins are studied extensively as they are involved in a wide range of functions, including: 1. Enzymes: Proteins that catalyze chemical reactions in the body, such as digestion, metabolism, and energy production. 2. Hormones: Proteins that regulate various bodily functions, such as growth, development, and reproduction. 3. Antibodies: Proteins that help the immune system recognize and neutralize foreign substances, such as viruses and bacteria. 4. Transport proteins: Proteins that facilitate the movement of molecules across cell membranes, such as oxygen and nutrients. 5. Structural proteins: Proteins that provide support and shape to cells and tissues, such as collagen and elastin. Protein abnormalities can lead to various medical conditions, such as genetic disorders, autoimmune diseases, and cancer. Therefore, understanding the structure and function of proteins is essential for developing effective treatments and therapies for these conditions.
Computational biology is an interdisciplinary field that combines computer science, mathematics, statistics, and molecular biology to study biological systems at the molecular and cellular level. In the medical field, computational biology is used to analyze large amounts of biological data, such as gene expression data, protein structures, and medical images, to gain insights into the underlying mechanisms of diseases and to develop new treatments. Some specific applications of computational biology in the medical field include: 1. Genomics: Computational biology is used to analyze large amounts of genomic data to identify genetic mutations that are associated with diseases, such as cancer, and to develop personalized treatments based on an individual's genetic makeup. 2. Drug discovery: Computational biology is used to predict the efficacy and toxicity of potential drug candidates, reducing the time and cost of drug development. 3. Medical imaging: Computational biology is used to analyze medical images, such as MRI and CT scans, to identify patterns and anomalies that may be indicative of disease. 4. Systems biology: Computational biology is used to study complex biological systems, such as the human immune system, to identify key regulatory mechanisms and to develop new therapeutic strategies. Overall, computational biology has the potential to revolutionize the medical field by enabling more accurate diagnoses, more effective treatments, and a deeper understanding of the underlying biology of diseases.
In the medical field, peptides are short chains of amino acids that are linked together by peptide bonds. They are typically composed of 2-50 amino acids and can be found in a variety of biological molecules, including hormones, neurotransmitters, and enzymes. Peptides play important roles in many physiological processes, including growth and development, immune function, and metabolism. They can also be used as therapeutic agents to treat a variety of medical conditions, such as diabetes, cancer, and cardiovascular disease. In the pharmaceutical industry, peptides are often synthesized using chemical methods and are used as drugs or as components of drugs. They can be administered orally, intravenously, or topically, depending on the specific peptide and the condition being treated.
In the medical field, an amino acid sequence refers to the linear order of amino acids in a protein molecule. Proteins are made up of chains of amino acids, and the specific sequence of these amino acids determines the protein's structure and function. The amino acid sequence is determined by the genetic code, which is a set of rules that specifies how the sequence of nucleotides in DNA is translated into the sequence of amino acids in a protein. Each amino acid is represented by a three-letter code, and the sequence of these codes is the amino acid sequence of the protein. The amino acid sequence is important because it determines the protein's three-dimensional structure, which in turn determines its function. Small changes in the amino acid sequence can have significant effects on the protein's structure and function, and this can lead to diseases or disorders. For example, mutations in the amino acid sequence of a protein involved in blood clotting can lead to bleeding disorders.
In the medical field, algorithms are a set of step-by-step instructions used to diagnose or treat a medical condition. These algorithms are designed to provide healthcare professionals with a standardized approach to patient care, ensuring that patients receive consistent and evidence-based treatment. Medical algorithms can be used for a variety of purposes, including diagnosing diseases, determining the appropriate course of treatment, and predicting patient outcomes. They are often based on clinical guidelines and best practices, and are continually updated as new research and evidence becomes available. Examples of medical algorithms include diagnostic algorithms for conditions such as pneumonia, heart attack, and cancer, as well as treatment algorithms for conditions such as diabetes, hypertension, and asthma. These algorithms can help healthcare professionals make more informed decisions about patient care, improve patient outcomes, and reduce the risk of medical errors.
Biological markers, also known as biomarkers, are measurable indicators of biological processes, pathogenic processes, or responses to therapeutic interventions. In the medical field, biological markers are used to diagnose, monitor, and predict the progression of diseases, as well as to evaluate the effectiveness of treatments. Biological markers can be found in various biological samples, such as blood, urine, tissue, or body fluids. They can be proteins, genes, enzymes, hormones, metabolites, or other molecules that are associated with a specific disease or condition. For example, in cancer, biological markers such as tumor markers can be used to detect the presence of cancer cells or to monitor the response to treatment. In cardiovascular disease, biological markers such as cholesterol levels or blood pressure can be used to assess the risk of heart attack or stroke. Overall, biological markers play a crucial role in medical research and clinical practice, as they provide valuable information about the underlying biology of diseases and help to guide diagnosis, treatment, and monitoring.
Chemical fractionation is a process used in the medical field to separate and purify different components of a mixture. This process involves the use of chemical reactions to selectively separate compounds based on their chemical properties, such as their solubility, polarity, or reactivity. In the medical field, chemical fractionation is commonly used to isolate and purify active compounds from natural sources, such as plants or animals, for use in the development of new drugs or therapies. For example, the active compounds in plants may be extracted using solvents, and then separated and purified using chemical fractionation techniques to isolate the specific compounds that are responsible for the desired therapeutic effects. Chemical fractionation can also be used to purify and separate different components of a mixture of drugs or other therapeutic agents, in order to optimize their effectiveness or reduce potential side effects. This process may involve the use of various chemical reactions, such as acid-base reactions, oxidation-reduction reactions, or precipitation reactions, to selectively separate the desired compounds from the mixture.
In the medical field, a Database Management System (DBMS) is a software application that allows healthcare professionals to store, manage, and retrieve patient data efficiently. It is designed to organize and store large amounts of patient information, such as medical history, test results, medications, and treatment plans, in a structured and secure manner. DBMSs in the medical field are used to manage electronic health records (EHRs), which are digital versions of a patient's medical history. EHRs are used to store and share patient information among healthcare providers, improve patient care, and reduce medical errors. DBMSs in the medical field are also used to manage clinical trials, research studies, and other healthcare-related data. They provide a centralized repository for data, which can be accessed by authorized users across different locations and departments. Overall, DBMSs play a critical role in the medical field by providing healthcare professionals with access to accurate and up-to-date patient information, improving patient care, and facilitating research and clinical trials.
Blood proteins are proteins that are found in the blood plasma of humans and other animals. They play a variety of important roles in the body, including transporting oxygen and nutrients, regulating blood pressure, and fighting infections. There are several different types of blood proteins, including albumin, globulins, and fibrinogen. Each type of blood protein has a specific function and is produced by different cells in the body. For example, albumin is produced by the liver and helps to maintain the osmotic pressure of the blood, while globulins are produced by the immune system and help to fight infections. Fibrinogen, on the other hand, is produced by the liver and is involved in the clotting of blood.
In the medical field, oxygen isotopes refer to the different forms of the element oxygen that have different atomic weights due to the presence of different numbers of neutrons in their nuclei. The most common oxygen isotopes are oxygen-16, oxygen-17, and oxygen-18. Oxygen-16 is the most abundant and is the form of oxygen that is found in the air we breathe. Oxygen-17 and oxygen-18 are less abundant and are often used in medical research and diagnostic imaging. Oxygen isotopes can be used to study the metabolism and function of various organs and tissues in the body, and can also be used to diagnose and treat certain medical conditions.
Cluster analysis is a statistical method used in the medical field to group patients or medical data based on similarities in their characteristics or outcomes. The goal of cluster analysis is to identify patterns or subgroups within a larger population that may have distinct clinical features, treatment responses, or outcomes. In the medical field, cluster analysis can be used for various purposes, such as: 1. Disease classification: Cluster analysis can be used to classify patients with similar disease characteristics or outcomes into distinct subgroups. This can help healthcare providers to tailor treatment plans to the specific needs of each subgroup. 2. Risk prediction: Cluster analysis can be used to identify subgroups of patients who are at high risk of developing a particular disease or condition. This can help healthcare providers to implement preventive measures or early interventions to reduce the risk of disease. 3. Drug discovery: Cluster analysis can be used to identify subgroups of patients who respond differently to a particular drug. This can help pharmaceutical companies to develop more targeted and effective treatments. 4. Clinical trial design: Cluster analysis can be used to design more efficient clinical trials by identifying subgroups of patients who are likely to respond to a particular treatment. Overall, cluster analysis is a powerful tool in the medical field that can help healthcare providers to better understand and manage patient populations, improve treatment outcomes, and advance medical research.
In the medical field, complex mixtures refer to a type of substance that is composed of multiple components or ingredients, often with varying chemical structures and properties. These mixtures can be found in a variety of contexts, including pharmaceuticals, food and beverages, environmental pollutants, and consumer products. Complex mixtures can be challenging to study and understand because their individual components interact with each other in complex ways, and their overall effects on health and the environment may not be predictable based on the properties of the individual components alone. As a result, researchers and regulators often rely on a variety of analytical techniques and modeling approaches to study complex mixtures and assess their potential risks. Some examples of complex mixtures in the medical field include tobacco smoke, diesel exhaust, and certain types of air pollution. These mixtures contain a variety of chemicals, including carcinogens, irritants, and toxicants, that can have a range of adverse effects on human health, including respiratory problems, cardiovascular disease, and cancer.
Bacterial proteins are proteins that are synthesized by bacteria. They are essential for the survival and function of bacteria, and play a variety of roles in bacterial metabolism, growth, and pathogenicity. Bacterial proteins can be classified into several categories based on their function, including structural proteins, metabolic enzymes, regulatory proteins, and toxins. Structural proteins provide support and shape to the bacterial cell, while metabolic enzymes are involved in the breakdown of nutrients and the synthesis of new molecules. Regulatory proteins control the expression of other genes, and toxins can cause damage to host cells and tissues. Bacterial proteins are of interest in the medical field because they can be used as targets for the development of antibiotics and other antimicrobial agents. They can also be used as diagnostic markers for bacterial infections, and as vaccines to prevent bacterial diseases. Additionally, some bacterial proteins have been shown to have therapeutic potential, such as enzymes that can break down harmful substances in the body or proteins that can stimulate the immune system.
Blotting, Western is a laboratory technique used to detect specific proteins in a sample by transferring proteins from a gel to a membrane and then incubating the membrane with a specific antibody that binds to the protein of interest. The antibody is then detected using an enzyme or fluorescent label, which produces a visible signal that can be quantified. This technique is commonly used in molecular biology and biochemistry to study protein expression, localization, and function. It is also used in medical research to diagnose diseases and monitor treatment responses.
Neoplasm proteins are proteins that are produced by cancer cells. These proteins are often abnormal and can contribute to the growth and spread of cancer. They can be detected in the blood or other body fluids, and their presence can be used as a diagnostic tool for cancer. Some neoplasm proteins are also being studied as potential targets for cancer treatment.
Proteomics
Shotgun proteomics
Proteomics (journal)
Quantitative proteomics
Clinical Proteomics
Gpm (proteomics)
Proteomics Standards Initiative
Proteomics Identifications Database
Stem cell proteomics
Netherlands Proteomics Centre
Molecular & Cellular Proteomics
Top-down proteomics
Australasian Proteomics Society
Bottom-up proteomics
Activity-based proteomics
Journal of Proteomics
The OpenMS Proteomics Pipeline
Human Genomics and Proteomics
Netherlands Bioinformatics for Proteomics Platform
Uteroglobin
KRT32
Major royal jelly protein
Robert Stevens (scientist)
SAV1
Keratin 16
Heart-type fatty acid binding protein
3-hydroxy-16-methoxy-2,3-dihydrotabersonine N-methyltransferase
DARS (gene)
SLC9B2
Alpha-1 antitrypsin
China pushes liver proteomics | Nature Biotechnology
Proteomics: Research & Insights | WEHI
Evotec, Dow AgroSciences Enter Proteomics Service Deal | GenomeWeb
Medicina | Special Issue : Proteomics in Medicine and Pharmacy
Microchemistry & Proteomics: Overview | Memorial Sloan Kettering Cancer Center
Proteomics | Blogs | CDC
Proteomics - Fraunhofer IZI
A list of candidate cancer biomarkers for targeted proteomics
Quantitative proteomics comparing human plaque phenotypes | PROSTUNST | Project | Fact sheet | FP6 | CORDIS | European...
Insights on Industry Watch, Discovery & Development, Genomics & Proteomics, Bioprocessing, and Molecular Diagnostics
Phosphoprotein and PhosphoProteomics Analysis | Proteomics
SELECTBIO - Cancer Proteomics Speaker Biography
Proteomics Services Core - University of Mississippi Medical Center
Citing a Journal in JOURNAL-OF-PROTEOMICS | Citation Machine
Cold Spring Harbor Lab Press
Proteins and Proteomics
Proteomics: A Cold Spring Harbor Laboratory Course Manual
Ionpath Receives Strategic Investment to Support Spatial Proteomics Innovation - PharmiWeb.com
Proteomics Market - Future Growth Analysis and Global Forecast to 2026
PA-07-016: Proteomics: Diabetes, Obesity, And Endocrine, Digestive, Kidney, Urologic, And Hematologic Diseases (R01)
A trial proteomics fingerprint analysis of HepaRG cells by FD-LC-MS/MS - Analyst (RSC Publishing)
Figure - Identification of Residual Blood Proteins in Ticks by Mass Spectrometry Proteomics - Volume 14, Number 8-August 2008 -...
HUPO-PSI Working groups and Outputs | HUPO Proteomics Standards Initiative
Frontiers | Exploration the Mechanism of Doxorubicin-Induced Heart Failure in Rats by Integration of Proteomics and...
Proteomics Market worth $72.9 billion - Stark County News
High-throughput proteomics of nanogram-scale samples with Zeno SWATH MS | eLife
review | Cancer Genomics & Proteomics
April 2017 - Genomics Proteomics and Bioinformatics
Dysregulation of Glycosylation in Prostate Cancer Cells Affect Extracellular Vesicle Proteome | Office of Cancer Clinical...
TMTPro Complementary Ion Quantification Increases Plexing and Sensitivity for Accurate Multiplexed Proteomics at the MS2 Level ...
Genomics4
- Proteomics also complements genomics research, as changes in a cell's genetic material do not always reflect changes within the proteome. (edu.au)
- From Genomics to Proteomics- What's the Impact on Population Health? (cdc.gov)
- The large share of this segment can be attributed to the increasing research funding for genomics and proteomics research and the increasing outsourcing of research activities to various pharmaceutical companies with in-house CRO services. (prsync.com)
- Moreover, the integration of proteomics with other omics technologies, such as genomics and metabolomics, holds immense potential for gaining a holistic understanding of biological systems and disease processes. (countyenews.com)
20231
- CHICAGO , May 31, 2023 /PRNewswire/ - The proteomics industry is poised for significant growth and advancements in the near future. (countyenews.com)
High-throughput3
- Our proteomics researchers rely on high-throughput techniques to rapidly assess and compare the proteomes of different samples. (edu.au)
- One of the key areas of growth is the development of high-throughput proteomics platforms that enable the analysis of large numbers of proteins simultaneously. (countyenews.com)
- Zeno SWATH MS hence facilitates sensitive high-throughput proteomic experiments with low sample amounts, mitigating the current bottlenecks of high-throughput proteomics. (elifesciences.org)
Application of proteomics2
- This has led to the emergence of nanoproteomics, a science involving the application of proteomics techniques aided by nanotechnology. (prsync.com)
- The Lund Stem Cell Center Proteomics facility is designed to meet the need of high-quality mass spectrometry-based proteomic studies at the Center, enable access to expertise in the application of proteomics in stem cell biology research, as well as access to the latest methods. (lu.se)
Several proteomics2
- Today, several proteomics approaches (such as chemical, quantitative and functional proteomics, including the analyses of protein expression profiles, protein interaction networks and post-translational modifications) are widely carried out by clinicians and pharmaceutical companies. (mdpi.com)
- The field of nanotechnology has been associated with several proteomics applications such as phosphoproteomics/metal oxide nanoparticles, nanostructured surfaces for protein separation, and analytical detection of biomarker proteins using array techniques. (prsync.com)
Spatial proteomics7
- MENLO PARK, Calif.--(BUSINESS WIRE)-- #oncology --Ionpath, Inc., a leader in high-definition spatial proteomics, today announced that Thermo Fisher Scientific, the world leader in serving science, has made a strategic investment in the company. (pharmiweb.com)
- Precision medicine is being driven by advances in proteomics, and this strategic investment is a tremendous vote of confidence in our pioneering MIBI spatial proteomics technology," said Sander Gubbens, Ph.D., CEO of Ionpath. (pharmiweb.com)
- With this investment, Ionpath will continue to scale our organization in service of supporting the increasing demand for both our MIBIscope instruments and our end-to-end Spatial Proteomics Services. (pharmiweb.com)
- Ionpath's MIBI™ (Multiplexed Ion Beam Imaging) technology is delivering on the promise of spatial proteomics by providing unprecedented insights for translational medicine researchers. (pharmiweb.com)
- Spatial proteomics has near-term potential to help produce breakthroughs in cancer diagnostics and in the discovery and development of highly targeted therapies, and Ionpath's innovation is a driving force," said Iain Mylchreest, vice president, R&D, analytical instruments, Thermo Fisher Scientific. (pharmiweb.com)
- Ionpath, Inc., is a pioneer in high-definition spatial proteomics, revolutionizing tissue imaging and analysis to accelerate medical discovery and improve human health. (pharmiweb.com)
- Fully automated sequential immunofluorescence (seqIF) for hyperplex spatial proteomics. (bvsalud.org)
20224
- Spectroscopy accounted for the largest share of the instrumentation technologies segment in the proteomics market in 2022. (countyenews.com)
- In 2022, spectroscopy accounted for the largest share of the proteomics market for instrumentation technologies. (countyenews.com)
- Mass spectrometry technology accounted for the largest share of the type segment in the proteomics market in 2022. (countyenews.com)
- Gel electrophoresis technology accounted for the largest share of the type segment in the proteomics market in 2022. (countyenews.com)
Quantitative1
- As part of the deal, Evotec will provide its quantitative chemical proteomics services to "de-convolute phenotypic screening results" obtained by Dow AgroSciences, a wholly owned subsidiary of Dow Chemical. (genomeweb.com)
Biomarkers2
- The Proteomics Unit focuses on the identification and validation of proteins to be used as diagnostic biomarkers or representing therapeutic targets. (fraunhofer.de)
- His current research programmes are in biotherapy and in clinical cancer proteomics identifying novel biomarkers and new targets for cancer therapy. (selectbiosciences.com)
Approaches4
- We are pleased to launch the Special Issue "Proteomics in Medicine and Pharmacy" covering all subjects and aspects of biomarker and drug discovery by proteomics-based approaches. (mdpi.com)
- We combine this Dutch tissue bank with state of the art proteomics approaches present in Singapore. (europa.eu)
- Proteomics, the study of proteins and their functions within biological systems, plays a crucial role in understanding disease mechanisms, identifying therapeutic targets, and developing personalized medicine approaches. (countyenews.com)
- [ 5 ] Obviously, the study of CSCs in any given tumor type, by proteomics or other approaches, requires prior validation of their actual existence. (medscape.com)
Tumor1
- Preserving the spatial context during proteomics analyses of tissue samples has become an important objective for different applications, one of the most important being the investigation of the tumor microenvironment . (bvsalud.org)
Insights2
- Here, the authors review the novel insights that these studies have provided and present a comprehensive strategy for the use of proteomics in studying cancer SC biology. (medscape.com)
- Unraveling the complexity of neurodegeneration in brain of subjects with Down syndrome: insights from proteomics. (bvsalud.org)
Protein3
- Targeted proteomics can provide relative or absolute quantification of a specific protein and is great for low abundance proteins. (umc.edu)
- ABSTRACT In order to define the protein expressional changes related to the process of meglumine antimoniate resistance in anthroponotic cutaneous leishmaniasis (CL), we performed a comparative proteomics analysis on sensitive and resistant strains of Leishmania tropica isolated from Iranian CL patients. (who.int)
- Using proteomics and causal mediation analysis, we examined 155 circulating protein markers in 624 cases and 624 matched controls in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. (who.int)
Advances1
- Advances in proteomics have increased over the last decade, thus giving valuable contributions which range from basic research to biomedical and pharmaceutical applications. (mdpi.com)
Tissue1
- In this study, proteomics and metabonomics techniques were used to analyze the tissue and plasma of DOX-induced heart failure (HF) in rats and to clarify the molecular mechanism of the harmful effects of DOX on cardiac metabolism and function in rats from a new point of view. (frontiersin.org)
Clinical1
- Based on end users, the proteomics market is segmented into hospitals, clinical laboratories, pharmaceutical companies, academic research laboratories, and other end users. (prsync.com)
Biological systems1
- Proteomics have emerged as a valid methodology to analyze biological systems at molecular level. (mdpi.com)
Analysis3
- Proteomics provides a lot of data to evaluate, and Metaboanalyst is a free online tool available to aid in data analysis. (umc.edu)
- A proteomics profile analysis was performed on a human hepatocyte carcinoma cell line (HepaRG) by using the FD-LC-MS/MS method. (rsc.org)
- If you are planning a proteomics analysis, please see us as soon as possible so we can assist in experimental design and prepare for analysis. (lu.se)
Molecular1
- In this scenario, proteomics helps to identify molecular mechanisms and characterize metabolic and cellular processes in several physiopathological conditions. (mdpi.com)
Characterize1
- These proteins are a "proteomics fingerprint" that can be used to characterize HepaRG cells. (rsc.org)
Quantification2
Typically1
- While proteomics typically aims to quantify as many proteins as possible, many of the biological questions that are to be addressed also necessitate the processing of large sample series. (elifesciences.org)
Cancer1
- Cancer stem cell-associated proteins revealed by proteomics. (medscape.com)
Mechanisms1
- This collaboration highlights the broad applicability of Evotec's industry leading chemical proteomics platform to determine cellular target affinities and mechanisms of action on a proteome wide level and in a native context," Mario Polywka, COO of Evotec, said in a statement. (genomeweb.com)
Cells2
Techniques3
- Global proteomics are accessed using label-free techniques with services provided on a fee-for-service basis. (umc.edu)
- I warmly recommend this volume to anyone who wants to implement proteomics techniques in the laboratory, or who simply wishes to get a practical sense of these techniques, useful in correctly interpreting the significance of proteomic data in the scientific literature. (cshlpress.com)
- With advancements in technology and analytical techniques, the proteomics industry is expected to witness remarkable progress. (countyenews.com)
Researchers3
- Our researchers are using proteomics to better understand how proteins function in health and disease. (edu.au)
- Proteomics also allows researchers to discover previously unknown changes in individual proteins that may not have been considered in studies of single proteins. (edu.au)
- Based on a popular course at Cold Spring Harbor Laboratory, this new manual assembles cutting edge protocols, helpful hints, and lecture notes to teach researchers from a wide variety of disciplines the essential methods of proteomics using state of the art instrumentation. (cshlpress.com)
Services1
- The Proteomics Services Core is located in the Department of Physiology and Biophysics. (umc.edu)
Diagnostics1
- Overall, the proteomics industry is expected to contribute significantly to advancements in medical research, diagnostics, and therapeutic development, ultimately leading to improved patient outcomes in the near future. (countyenews.com)
Analyze1
- Factors such as the MS can analyze large numbers of samples in a short period of time, making it ideal for large-scale proteomics studies is attributed to its large share. (countyenews.com)
Study1
- The study shows the usefulness of proteomics in identifying proteins that may express differences between sensitive and resistant L. tropica isolates. (who.int)
Global2
- Global proteomics can be accessed one of two ways, label-free or with labeling. (umc.edu)
- The global proteomics market is segmented into North America, Europe, the Asia Pacific, Latin America and Middle East & Africa. (prsync.com)
Identification1
- Multi-omics strategies (especially LC-MS based proteomics) are applied for identification. (fraunhofer.de)
Samples1
- We analyzed plasma samples with an aptamer-based proteomics platform for alterations in 1305 unique proteins . (bvsalud.org)
Identify1
- Proteomics is emerging as a powerful tool to identify the signaling complexes and pathways that control multi- and pluri-potency and SC differentiation. (medscape.com)
Manual1
- Proteomics: A Cold Spring Harbor Laboratory Course Manual can be used both as the basis for a course and as a detailed bench manual for those performing indispensable proteomic experiments. (cshlpress.com)
Discovery1
- Placenta accreta spectrum: biomarker discovery using plasma proteomics. (bvsalud.org)
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