Protein Expression Profiling
Protein Expression Profiling - Related Videos
08:29
Expression Profiling with Microarrays
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2023
Microarrays are important tools for profiling gene expression, and are based on complementary binding between probes that are attached to glass chips and nucleic acids derived from samples. Using these arrays, scientists can simultaneously evaluate the expression of thousands of genes. In addition, the expression profiles of different cells or tissue types can be compared, allowing researchers to deduce how the expression of different genes change during biological processes, and thus gain...
08:46
Green Fluorescent Protein-based Expression Screening of Membrane Proteins in Escherichia coli
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Cited by 34 •
2015
A streamlined approach to screening for the expression of recombinant membrane proteins in Escherichia coli based on fusion to green fluorescent protein is presented.
10:27
Determining Genetic Expression Profiles in C. elegans Using Microarray and Real-time PCR
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Cited by 12 •
2011
Microarray analysis was conducted to determine genetic expression profiles in C. elegans, and real-time PCR was used to validate and quantify microarray data.
09:35
Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
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Cited by 9 •
2017
Here we present protocols for affinity purification of protein complexes and their separation by blue native PAGE, followed by protein correlation profiling using label free quantitative mass spectrometry. This method is useful to resolve interactomes into distinct protein complexes.
09:19
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Cited by 2 •
2022
Here, we describe a protocol for fine-tuning regions of interest (ROIs) for Spatial Omics technologies to better characterize the tumor microenvironment and identify specific cell populations. For proteomics assays, automated customized protocols can guide ROI selection, while transcriptomics assays can be fine-tuned utilizing ROIs as small as 50 µm.
FAQs
Genomic information indicates the biological potential encoded in DNA, whereas protein profiles reflect the functional state produced by cells, tissues, or body fluids. Changes in protein abundance or modification can reveal how disease-related pathways are operating at a particular time. This distinction makes profiling useful for connecting molecular alterations with cellular behavior and clinical states.
Modification patterns add information beyond the amount of each protein present. A protein may show a disease-associated change through its modification state even when its overall abundance is not emphasized. Examining these patterns helps researchers associate altered proteins with biological pathways, improving interpretation of disease mechanisms and supporting the search for markers that distinguish pathological states.
Sample processing determines how proteins become available for measurement. The workflow begins by extracting proteins from cells, tissues, or body fluids, followed by separating or capturing them before detection. These stages organize the molecular material for analysis and allow abundance or modification patterns to be compared between samples, which is essential for identifying meaningful biological differences.
These methods provide alternative ways to handle and detect proteins within a profiling workflow. Mass spectrometry, electrophoresis, and antibody-based assays can be used for detection after proteins are extracted and separated or captured. Selecting among them allows researchers to investigate protein abundance or modification patterns using complementary analytical approaches supported by the sample and research question.
Researchers compare protein patterns associated with different biological or disease states to identify candidate biomarkers. A useful marker may help characterize a disease mechanism, distinguish patient subgroups, or indicate a treatment-related change. Because the profiles connect molecular alterations with cellular pathways, they provide a basis for evaluating which protein differences may have diagnostic or clinical research value.
Comparing profiles before and during treatment can reveal changes associated with a patient's response. These results may help researchers characterize response patterns, distinguish patient subgroups, and relate outcomes to altered biological pathways. In medicine, that information supports research into more precise therapies by linking molecular differences with the treatment behavior observed in particular patient groups.