G Protein-Coupled Receptors (GPCRs) are a very large, diverse family of transmembrane receptors in eukaryotes. These receptors detect molecules outside the cell and activate internal signaling pathways by coupling with G proteins. Once a GPCR is activated, β-arrestins translocate to the cell membrane and bind to the occupied receptor, uncoupling it from G proteins and promoting its internalization.
Reporter tags are useful for studying the dynamics of GPCRs and associated proteins, but large tags can disrupt the receptors’ native functioning, and often overexpression of the tagged protein is required to obtain sufficient signal. Here is one example of how researchers have used the small, bright NanoLuc® luciferase to overcome these common challenges and answer questions about GPCRs. Continue reading “Lighting Up GPCR Research with Bioluminescent Tagging”
The use of mass spectrometry for the characterization of individual or complex protein samples continues to be one of the fastest growing fields in the life science market.
Bottom-up proteomics is the traditional approach to address these questions. Optimization of each the individual steps (e.g. sample prep, digestion and instrument performance) is critical to the overall success of the entire experiment.
To address issues that may arise in your experimental design, Promega has developed unique tools and complementary webinars to help you along the way.
Here you can find a summary of individual webinars for the following topics: Continue reading “Bottom-up Proteomics: Need Help?”
No protein is an island. Within a cell, protein-protein interactions (PPIs) are involved in highly regulated and specific pathways that control gene expression and cell signaling. The disruption of PPIs can lead to a variety of disease states, including cancer.
Two general approaches are commonly used to study PPIs. Real-time assays measure PPI activity in live cells using fluorescent or luminescent tags. A second approach includes methods that measure a specific PPI “after the fact”; popular examples include a reporter system, such as the classic yeast two-hybrid system.
Continue reading “When Proteins Get Together: Shedding (Blue) Light on Cellular LOV”
Dioxins (e.g., 2,3,7,8-Tetrachlorodibenzo-p-dioxin, TCDD) and related compounds (DRCs) are persistent environmental pollutants that gradually accumulate through the food chain, mainly in the fatty tissues of animals. Dioxins are highly toxic and can cause reproductive and developmental problems, damage the immune system, interfere with hormones and also cause cancer. This broad range of toxic and biological effects of DRCs is mostly mediated by the aryl hydrocarbon receptor (AHR).
In animal cells, DRCs bind to AHR in the cytoplasm and then translocate into the nucleus, where they affect the transcription of multiple target genes, including xenobiotic-metabolizing enzymes, such as CYP1A isozymes. AHR is also involved in immune system maintenance, protein degradation and cell proliferation.
The jungle crow (Corvus macrorhynchos) has been considered a suitable indicator for monitoring environmental chemicals such as DRCs. While mammals only have one AHR form, avian species have multiple AHR isoforms such as AHR1 and AHR2. To unveil the functional diversity of multiple avian AHR isoforms in terms of their contribution to responses to DRCs a recent study by Kim et al. investigated the molecular and functional characteristics of jungle crow AHR isoforms, cAHR1 and jcAHR2 (1).
cAHR1 and jcAHR2 proteins were synthesized using AHR proteins were synthesized using the TnT Quick-Coupled Reticulocyte Lysate System to examine whether these jcAHRs have the potential to bind to TCDD. TCDD-binding affinity of the in vitro-expressed jcAHR protein was analyzed using the velocity sedimentation assay with a sucrose gradient.
The results demonstrate that both jcAHR1and jcAHR2 are capable of binding to TCDD.
Kim, E-Y (2019) The aryl hydrocarbon receptor 2 potentially mediates cytochrome P450 1A induction in the jungle crow (Corvus macrorhynchos). Ecotoxicology and Environmental Safety 171. 99–111
In a recent reference, Kinoshita and colleagues characterized the phosphorylation dynamics of MEK1 in human cells by using the phosphate affinity electrophoresis technique, Phos-tag sodium dodecyl sulfate–polyacrylamide gel electrophoresis (Phos-tag SDS-PAGE; 1). They found that multiple variants of MEK1 with diferent phosphorylation states are constitutively present in typical human cells.
To investigate the relationships between kinase activity and drug efficacy researchers from the same laboratory group conducted phosphorylation profling of various MEK1 mutants by using Phos-tag SDS- PAGE (2).
They introduced mutations in of the MEK-1 coding gene that are associated with spontaneous melanoma, lung cancer, gastric cancer, colon cancer and ovarian cancer were introduced into Flexi HaloTag clone pFN21AE0668, which is suitable for expression of N-terminal HaloTag-fused MEK1 in mammalian cells. Continue reading “Mutation Analysis Using HaloTag Fusion Proteins”
Now that Promega is expanding its offerings of options for examining live-cell protein interactions or quantitation at endogenous protein expression levels, we in Technical Services are getting the question about which option is better. The answer is, as with many assays… it depends! First let’s talk about what are the NanoBiT and NanoBRET technologies, and then we will provide some similarities and differences to help you choose the assay that best suits your individual needs. Continue reading “A BiT or BRET, Which is Better?”
Large-scale analyses of the proteome have revealed proteomic changes in response to disease, and these changes hold great promise for diagnostics and treatment of complex disease if proteomic analysis can be brought into the clinical laboratory. Successful and reliable large-scale proteomics requires sample preparation workflows that are reproducible, reliable and show little variability. To bring proteomics into the clinical laboratory, standardized procedures and workflows for sample prep and analysis are required to generate valid, actionable results on a time scale useful for the clinic.
The two most common sample types analyzed for clinical proteomics are body fluids and tissue biopsies. To process these kinds of samples, there are two initial steps: tissue solubilization, followed by proteolytic digestion. Solubilization of solid tissues is the most labor-intensive and produces the most variable results.
The introduction of pressure cycling technology (PCT) using Barocycler instrumentation has greatly improved both tissue solubilization and digestion consistency. The PCT-based sample preparation protocols generally utilize urea as a lysis buffer for protein denaturing and solubilization. Urea has several drawbacks including inhibiting trypsin activity and introducing unwanted modifications like carbamylation.
Lucas and colleagues analyzed whether replacing urea with SDC would produce similar tissue digestion profiles and improve the PCT method.
SDC allowed the use of higher temperatures compared to urea, and hence the first step (lysis, reduction, and alkylation) was performed at 56 °C. The second digestion step in the Barocycler was optimized, and the third step was eliminated. To further reduce digestion time, they capitalized on Rapid Trypsin/Lys-C. Rapid Trypsin/Lys-C maintains robust activity at 70 °C, and allowed Barocycler digestion to be performed in a single step, completing digestion in 30 cycles (approximately 30 min) rather than 105 minutes, streamlining the protocol.
The data presented an improved conventional tissue PCT approach in a Barocycler by replacing urea and proteolytic enzymes with SDC, N-propanol, and modified commercially available enzymes that have higher optimum temperatures.
Lucas, N. et al. (2019) Accelerated Barocycler Lysis and Extraction Sample Preparation for Clinical Proteomics by Mass Spectrometry. J of Proteome Res 18, 399–405.
Long noncoding RNAs have been shown to regulate chromatin states, transcriptional activity and post transcriptional activity (1). Only a few studies have observed long non-coding RNAs modulating the translational process (2). The noncoding RNA BC200 has been shown to inhibit translation by interacting with the translation initiation factors, eIF4A and eIF4B.
To characterize how BC200 translational inhibition could be controlled, a variety of RNAs were transcribed/translated in vitro using the TNT system (Cat. #L4610) from Promega. To each transcription/translation reaction, BC900 RNA, hnRNPE1 and hnRNE2 proteins were added. Inhibition of BC200 activity was noted when proteins were successful expressed (3).
- Sosinska, P et.al. (2015) Intraperitoneal invasiveness of ovarian cancer from the cellular and molecular perspective. Ginekol. Pol. 86, 782–86.
- Geisler, S. and Coller, J. (2013) RNA in unexpected places: long non-coding RNA functions in diverse cellular contexts. Nat.Rev. Mol. Cell. Bio. 14,699–12.
- Jang, S. et. al. (2017) Regulation of BC200 RNA-mediated translation inhibition by hnRNP E1 and E2. FEBS Letters. 591, 393–5.
With the use of a suite of “-omics” technologies you can examine the way in which complex cellular processes work together across all molecular domains (i.e., proteomics, metabolomics, transcriptomics) in a single biological system. Several studies have been published across a wide range of fields illustrating the power of such a unified approach (1,2). Most studies however did not focus on the development of a high-throughput, unified sample preparation approach to complement high-throughput “omic” analytics.
A recent publication by Gutierrez and colleagues presents a simple high-throughput process (SPOT) that has been optimized to provide high-quality specimens for metabolomics, proteomics, and transcriptomics from a common cell culture sample (3). They demonstrate that this approach can process 16−24 samples from a cell pellet to a desalted sample ready for mass spectrometry analysis within 9 hours. They also demonstrated that the combined process did not sacrifice the quality of data when compared to individual sample preparation methods.
1. Roume, H. (2013) Sequential Isolation of Metabolites, RNA, DNA, and Proteins from the Same Unique Sample. Methods Enzymol. 531, 219−236.
2. Lo, A. W. et al. (2017) ‘Omic’ Approaches to Study Uropathogenic Escherichia Coli Virulence. Trends Microbiol. 25, 729−740.
3. Gutierrez, D. et al. (2018) An Integrated, High-Throughput Strategy for Multiomic Systems Level Analysis J. Proteome Res.
It’s time to analyze your protein and you are trying to decide where to begin. You are asking questions like: Which protease do I choose? How much enzyme should I use in my digest? How long should I perform my digest?
Unfortunately, there is no one-size fits all answer to this type of question other than… “well it depends.” All protease digests will be a balance between denaturing the protein sample to allow access to cleavage sites, optimizing conditions for the protease to function, and compatibility with your workflow and downstream applications. We provide general guidelines that work for most samples, but frequently you will need to optimize the conditions need for your specific sample and application.
Here, I use the example of a trypsin digest for downstream mass spectrometry to highlight key questions to ask and factors that can be optimized for any digest. Continue reading “What’s In YOUR Protein? Optimizing Protease Digestions to Get the Inside Scoop”