x
[quotes_form]

Western blotting Protocol

Introduction

The Western blot is a biological technique that allows for the specific identification and characterization of proteins. In this technique, the proteins are assorted based on their molecular weight, and type, through gel electrophoresis. The results of the electrophoresis are then transferred to a polyvinylidene fluoride (PVDF) membrane producing a band for each protein. The membrane containing bands is then incubated with antibodies specific to the target protein. Western blotting facilitates the qualitative and quantitative assessment of protein expression in a variety of tissues and allows inferences about pre- and post-translational processes (e.g., phosphorylation or alternative splicing). The western blot is a powerful analytical tool used in molecular biology, immunogenetics and other molecular biology disciplines for protein characterization from a sample of tissue homogenate or extract.

The western blot is widely used in biochemistry for the qualitative evaluation of single proteins and protein-modifications (such as post-translational modifications). It is generally used as an analytical method to identify the presence of a specific single protein within a complex mixture. Semi-quantitative estimation of a protein can also be derived from the color intensity and the size of the band on the blot membrane. Besides, a dilution series of a purified protein of known concentrations can be used for precise estimation of protein concentration. The western blot is also used for medical diagnoses such as HIV-test and BSE-test.

 

Principle

Western blotting is based on the principle of immunochromatography where proteins are separated onto polyacrylamide gel according to their molecular weight. Proteins move within the gel onto a membrane made of nitrocellulose (NC) or polyvinylidene difluoride (PVDF). Proteins combine with membrane based on a hydrophobic interaction, thereby having a slight effect on protein activities. Then the isolated proteins are detected by conjugating them with primary antibody and secondary enzyme-labeled antibody and substrate.

 

Apparatus

Blotting equipment consists of the components required for protein transfer from the gel to a membrane and subsequent membrane processing. Blots require an apparatus, or blotter to transfer the gel to the membrane under dry, semi-dry, or wet conditions. Transfer protocol depends on the type of protein of interest, gel thickness, and the type of membrane. After protein transfer, the proteins must be labeled, stained, washed and detected. Automated equipment could be used to shake, block, hybridize, and wash blots, and recycle the primary antibody.

 

Protocol(Kim, 2017)

Polyacrylamide gel electrophoresis

  1. Dilute 100 ml 10× [amazon link=”B01MU9TMB2″ link_icon=”amazon” /] using 900 ml of 18 MΩ-cm water to make it 1×.
  2. Lock the gel into the gel apparatus before adding 300–350 ml of 1× running buffer in the central reservoir of the gel apparatus.
  3. Load the sample into the respective lanes of the gel. Load 1 μL of Magicmark and 3 μL of BenchMark molecular markers.
  4. Run the gel until the front reaches the bottom of the gel; it will take about 55 min.

Immunoblotting

  1. Wet the protein-loaded membrane in [amazon link=”B0138M71OE” link_icon=”amazon” /] for 60 seconds. Transfer the membrane to a container with transfer buffer until needed.
  2. Soak the sponges in [amazon link=”B0731SK3KK” link_icon=”amazon” /] Make sure there is no air bubble in the sponge.
  3. Place the sponges into the blot module.
  4. Soak the filter paper in the transfer buffer and place it in the blot modules.
  5. Open the gel cassette. Cut the gel foot and lane dividers. Place the gel in the blot module.
  6. Place the membrane in the blot module.
  7. Wet the filter paper with [amazon link=”B0731SK3KK” link_icon=”amazon” /] (800 ml 18 MΩ-cm water, 200 ml methanol, 15.5 g Glycine, 3 g Tris Base) and place it in the blot module.
  8. Close the blot module and insert it into the electrophoresis chamber.
  9. Fill the blot module with transfer buffer. Fill the outer electrophoresis chamber to the half with distilled water.
  10. Transfer the proteins to the membrane for 1.5 hours at 25 V.
  11. Remove the membrane from the blot module, and place in >20 ml of I-BLOCK solution (1-liter [amazon link=”B00RKPGHUU” link_icon=”amazon” /], 2 g I-Block, 1 ml [amazon link=”B00I31RZWO” link_icon=”amazon” /]) for 1 hour at room temperature.

Detection

  1. Prepare 10 ml of primary antibody (1:100) in 5% [amazon link=”B002L7TC5Y” link_icon=”amazon” /] solution (1:100) 20 minutes before use.
  2. Incubate the membrane in primary antibody solution for 2 hours at room temperature.
  3. Wash the membrane (four times) with >20 ml of I-BLOCK solution for 4 minutes each with gentle rocking.
  4. Prepare 10 ml of secondary antibody (1:5000) in 5% NFDM solution at least 20 minutes before use.
  5. Incubate the membrane loaded with the secondary antibody solution for 1 hour at room temperature.
  6. Wash the membrane with >20 ml of I-BLOCK solution (twice), then with >20 ml [amazon link=”B00RKPGHUU” link_icon=”amazon” /] twice for 5 minutes each.
  7. Mix 3 ml of ECL2 reagent during the last PBS wash.
  8. Incubate the membrane in ECL2 reagent for 5 minutes in the dark.
  9. Place the membrane in the development folder, and roll out any air bubbles.
  10. Image the membrane.

 

 

Applications

Evaluating the protein components of the endocannabinoid system (Wager-Miller. & Mackie., 2016)

Western blotting facilitates the characterization and quantification of protein expression in the endocannabinoid system. The expression level of G protein-coupled receptors (GPCRs) is necessary to understand the function, distribution, and regulation of these receptors. Western blotting is a common approach for detecting proteins from complex biological systems. The western blotting was used to assess the protein components of the endocannabinoid system using sodium dodecyl sulfate-polyacrylamide gel electrophoresis and nitrocellulose membranes, to detect the presence of type 1 cannabinoid (CB 1) receptors. The western blot presents the researchers with the expression level, distribution, and size details of the proteins of the endocannabinoid system.

Isolating and analyzing the extracellular vesicles (Kowal., Ovanesyan., Regev., & Church., 2017)

Extracellular vesicles (EVs) are responsible for intercellular communication and transport. The mammalian cells secrete heterogeneous vesicles of a variety of sizes; these vesicles can be categorized by the profiling of the proteins they contain through western blotting. It was found that the tetraspanins are a group of proteins containing four transmembrane domains. CD9, CD63, and CD81 are the transmembrane proteins commonly found in extracellular vesicles across cell types. Western blotting is a powerful technique used for the analysis of protein molecules and extracellular vesicles.

Antibody validation (Signore., Manganelli., & Hodge., 2017)

Antibody validation is usually done for translational research, particularly for biomarker discovery. Determination of the antibody specificity and protein biomarker identity is of critical importance for implementing the biomarkers in clinical studies, and the lack of such quality control tests may lead to unexpected or misleading results. In antibody validation, a single antibody is thoroughly assayed for its sensitivity and specificity. Antibody specificity is assessed by the presence of the band in a complex biological sample, at the expected molecular weight, on a Western blot. Antibodies used in the clinical research applications are validated using the standardized Western blot procedure in which control lysates containing the protein of interest, are probed with an antibody. The western blot is of critical importance in preclinical and clinical research to unveil the protein interactions and characteristic features.

Analysis of the antibody response to Campylobacter jejuni cellular antigens (Nachamkin. & Hart, 1985)

In the study, the western blot analysis was used to identify the antigenic components of Campylobacter jejuni that elicit antibody responses in humans suffering from campylobacter enteritis. Acute- and convalescent-phase sera were analyzed for humoral response against their homologous infecting strains and clinical isolates. In the acute-phase response, two to three antigens having molecular weights of 66,000 (p66), 43,000 to 46,000, and 12,000 (pl2) were detected in immunoblots. It was found that the convalescent-phase sera have a broader array of antibody binding to cell components. p66 was found to be the campylobacter flagellin, which is a major immunodominant component in almost all sera tested. The results showed that the antibody response against C. jejuni antigens is variable and out of the antigenic components the flagellin appeared to be the significant immunodominant component during infection.

 

Precautions
  • Use the gel with a low acrylamide concentration when running high molecular weight proteins.
  • To ensure a high resolution and efficient transfer, decrease the amount of bis-acrylamide.
  • The high concentration of antibodies may coat the membrane with antibodies due to saturation, resulting in a uniform signal across the entire membrane so use a lower antibody concentration.
  • Improper washing may cause excess antibody retaining, use wash buffers with Tween 20 to improve washing.
  • Non-specific bands may develop because of the presence of the strong, anionic detergent SDS on the membrane, so wash the blot extensively after transferring the membrane.

 

Strengths and Limitations
  • Western blot is a sensitive technique used as a useful early diagnostic tool, enabling the detection of even the slightest immunogenic response from a virus or bacteria in the sample.
  • With western blotting, the sensitivity of the analysis can be increased even to observe ~10 x lower concentrations of the target proteins.
  • The technique provides a much more powerful detection system that is essential for in vivo assays.
  • Western blotting is a robust procedure for immunodetection of proteins, particularly which are of low abundance.
  • In spite of its sensitivity and specificity, it could produce erroneous results. A false-positive develops when an antibody reacts with a non-intended protein.
  • The cost of a western blot includes large expenditures for probed antibodies, skilled analysts, and the laboratory equipment.

 

References
  1. Nachamkin., & Hart, A. M. (1985). Western blot analysis of the human antibody response to Campylobacter jejuni cellular antigens during gastrointestinal infection. J Clin Microbiol, 21(1), 33-38.
  2. Wager-Miller., & Mackie., K. (2016). Western Blotting of the Endocannabinoid System. Methods Mol Biol, 1412, 247-54.
  3. E. Kowal., D. Ter-Ovanesyan., A. Regev., & Church., M. G. (2017). Extracellular Vesicle Isolation and Analysis by Western Blotting. Methods Mol Biol, 1660, 143-152.
  4. Kim, B. (2017). Western blot techniques. Methods Mol Biol, 1606, 133-139.
  5. M. Signore., V. Manganelli., & Hodge., A. (2017). Antibody Validation by Western Blotting. Methods Mol Biol, 1606, 51-70.

Learn More about our Services and how can we help you with your research!

Introduction

In behavioral neuroscience, the Open Field Test (OFT) remains one of the most widely used assays to evaluate rodent models of affect, cognition, and motivation. It provides a non-invasive framework for examining how animals respond to novelty, stress, and pharmacological or environmental manipulations. Among the test’s core metrics, the percentage of time spent in the center zone offers a uniquely normalized and sensitive measure of an animal’s emotional reactivity and willingness to engage with a potentially risky environment.

This metric is calculated as the proportion of time spent in the central area of the arena—typically the inner 25%—relative to the entire session duration. By normalizing this value, researchers gain a behaviorally informative variable that is resilient to fluctuations in session length or overall movement levels. This makes it especially valuable in comparative analyses, longitudinal monitoring, and cross-model validation.

Unlike raw center duration, which can be affected by trial design inconsistencies, the percentage-based measure enables clearer comparisons across animals, treatments, and conditions. It plays a key role in identifying trait anxiety, avoidance behavior, risk-taking tendencies, and environmental adaptation, making it indispensable in both basic and translational research contexts.

Whereas simple center duration provides absolute time, the percentage-based metric introduces greater interpretability and reproducibility, especially when comparing different animal models, treatment conditions, or experimental setups. It is particularly effective for quantifying avoidance behaviors, risk assessment strategies, and trait anxiety profiles in both acute and longitudinal designs.

What Does Percentage of Time in the Centre Measure?

This metric reflects the relative amount of time an animal chooses to spend in the open, exposed portion of the arena—typically defined as the inner 25% of a square or circular enclosure. Because rodents innately prefer the periphery (thigmotaxis), time in the center is inversely associated with anxiety-like behavior. As such, this percentage is considered a sensitive, normalized index of:

  • Exploratory drive vs. risk aversion: High center time reflects an animal’s willingness to engage with uncertain or exposed environments, often indicative of lower anxiety and a stronger intrinsic drive to explore. These animals are more likely to exhibit flexible, information-gathering behaviors. On the other hand, animals that spend little time in the center display a strong bias toward the safety of the perimeter, indicative of a defensive behavioral state or trait-level risk aversion. This dichotomy helps distinguish adaptive exploration from fear-driven avoidance.

  • Emotional reactivity: Fluctuations in center time percentage serve as a sensitive behavioral proxy for changes in emotional state. In stress-prone or trauma-exposed animals, decreased center engagement may reflect hypervigilance or fear generalization, while a sudden increase might indicate emotional blunting or impaired threat appraisal. The metric is also responsive to acute stressors, environmental perturbations, or pharmacological interventions that impact affective regulation.

  • Behavioral confidence and adaptation: Repeated exposure to the same environment typically leads to reduced novelty-induced anxiety and increased behavioral flexibility. A rising trend in center time percentage across trials suggests successful habituation, reduced threat perception, and greater confidence in navigating open spaces. Conversely, a stable or declining trend may indicate behavioral rigidity or chronic stress effects.

  • Pharmacological or genetic modulation: The percentage of time in the center is widely used to evaluate the effects of pharmacological treatments and genetic modifications that influence anxiety-related circuits. Anxiolytic agents—including benzodiazepines, SSRIs, and cannabinoid agonists—reliably increase center occupancy, providing a robust behavioral endpoint in preclinical drug trials. Similarly, genetic models targeting serotonin receptors, GABAergic tone, or HPA axis function often show distinct patterns of center preference, offering translational insights into psychiatric vulnerability and resilience.

Critically, because this metric is normalized by session duration, it accommodates variability in activity levels or testing conditions. This makes it especially suitable for comparing across individuals, treatment groups, or timepoints in longitudinal studies.

A high percentage of center time indicates reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance. reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance.

Behavioral Significance and Neuroscientific Context

1. Emotional State and Trait Anxiety

The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity, where animals exhibit persistent avoidance of the center due to heightened emotional reactivity. This metric can also distinguish between acute anxiety responses and enduring trait anxiety, especially in longitudinal or developmental studies. Its normalized nature makes it ideal for comparing across cohorts with variable locomotor profiles, helping researchers detect true affective changes rather than activity-based confounds.

2. Exploration Strategies and Cognitive Engagement

Rodents that spend more time in the center zone typically exhibit broader and more flexible exploration strategies. This behavior reflects not only reduced anxiety but also cognitive engagement and environmental curiosity. High center percentage is associated with robust spatial learning, attentional scanning, and memory encoding functions, supported by coordinated activation in the prefrontal cortex, hippocampus, and basal forebrain. In contrast, reduced center engagement may signal spatial rigidity, attentional narrowing, or cognitive withdrawal, particularly in models of neurodegeneration or aging.

3. Pharmacological Responsiveness

The open field test remains one of the most widely accepted platforms for testing anxiolytic and psychotropic drugs. The percentage of center time reliably increases following administration of anxiolytic agents such as benzodiazepines, SSRIs, and GABA-A receptor agonists. This metric serves as a sensitive and reproducible endpoint in preclinical dose-finding studies, mechanistic pharmacology, and compound screening pipelines. It also aids in differentiating true anxiolytic effects from sedation or motor suppression by integrating with other behavioral parameters like distance traveled and entry count (Prut & Belzung, 2003).

4. Sex Differences and Hormonal Modulation

Sex-based differences in emotional regulation often manifest in open field behavior, with female rodents generally exhibiting higher variability in center zone metrics due to hormonal cycling. For example, estrogen has been shown to facilitate exploratory behavior and increase center occupancy, while progesterone and stress-induced corticosterone often reduce it. Studies involving gonadectomy, hormone replacement, or sex-specific genetic knockouts use this metric to quantify the impact of endocrine factors on anxiety and exploratory behavior. As such, it remains a vital tool for dissecting sex-dependent neurobehavioral dynamics.
The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity. Because it is normalized, this metric is especially helpful for distinguishing between genuine avoidance and low general activity.

Methodological Considerations

  • Zone Definition: Accurately defining the center zone is critical for reliable and reproducible data. In most open field arenas, the center zone constitutes approximately 25% of the total area, centrally located and evenly distanced from the walls. Software-based segmentation tools enhance precision and ensure consistency across trials and experiments. Deviations in zone parameters—whether due to arena geometry or tracking inconsistencies—can result in skewed data, especially when calculating percentages.

     

  • Trial Duration: Trials typically last between 5 to 10 minutes. The percentage of time in the center must be normalized to total trial duration to maintain comparability across animals and experimental groups. Longer trials may lead to fatigue, boredom, or habituation effects that artificially reduce exploratory behavior, while overly short trials may not capture full behavioral repertoires or response to novel stimuli.

     

  • Handling and Habituation: Variability in pre-test handling can introduce confounds, particularly through stress-induced hypoactivity or hyperactivity. Standardized handling routines—including gentle, consistent human interaction in the days leading up to testing—reduce variability. Habituation to the testing room and apparatus prior to data collection helps animals engage in more representative exploratory behavior, minimizing novelty-induced freezing or erratic movement.

     

  • Tracking Accuracy: High-resolution tracking systems should be validated for accurate, real-time detection of full-body center entries and sustained occupancy. The system should distinguish between full zone occupancy and transient overlaps or partial body entries that do not reflect true exploratory behavior. Poor tracking fidelity or lag can produce significant measurement error in percentage calculations.

     

  • Environmental Control: Uniformity in environmental conditions is essential. Lighting should be evenly diffused to avoid shadow bias, and noise should be minimized to prevent stress-induced variability. The arena must be cleaned between trials using odor-neutral solutions to eliminate scent trails or pheromone cues that may affect zone preference. Any variation in these conditions can introduce systematic bias in center zone behavior. Use consistent definitions of the center zone (commonly 25% of total area) to allow valid comparisons. Software-based segmentation enhances spatial precision.

Interpretation with Complementary Metrics

Temporal Dynamics of Center Occupancy

Evaluating how center time evolves across the duration of a session—divided into early, middle, and late thirds—provides insight into behavioral transitions and adaptive responses. Animals may begin by avoiding the center, only to gradually increase center time as they habituate to the environment. Conversely, persistently low center time across the session can signal prolonged anxiety, fear generalization, or a trait-like avoidance phenotype.

Cross-Paradigm Correlation

To validate the significance of center time percentage, it should be examined alongside results from other anxiety-related tests such as the Elevated Plus Maze, Light-Dark Box, or Novelty Suppressed Feeding. Concordance across paradigms supports the reliability of center time as a trait marker, while discordance may indicate task-specific reactivity or behavioral dissociation.

Behavioral Microstructure Analysis

When paired with high-resolution scoring of behavioral events such as rearing, grooming, defecation, or immobility, center time offers a richer view of the animal’s internal state. For example, an animal that spends substantial time in the center while grooming may be coping with mild stress, while another that remains immobile in the periphery may be experiencing more severe anxiety. Microstructure analysis aids in decoding the complexity behind spatial behavior.

Inter-individual Variability and Subgroup Classification

Animals naturally vary in their exploratory style. By analyzing percentage of center time across subjects, researchers can identify behavioral subgroups—such as consistently bold individuals who frequently explore the center versus cautious animals that remain along the periphery. These classifications can be used to examine predictors of drug response, resilience to stress, or vulnerability to neuropsychiatric disorders.

Machine Learning-Based Behavioral Clustering

In studies with large cohorts or multiple behavioral variables, machine learning techniques such as hierarchical clustering or principal component analysis can incorporate center time percentage to discover novel phenotypic groupings. These data-driven approaches help uncover latent dimensions of behavior that may not be visible through univariate analyses alone.

Total Distance Traveled

Total locomotion helps contextualize center time. Low percentage values in animals with minimal movement may reflect sedation or fatigue, while similar values in high-mobility subjects suggest deliberate avoidance. This metric helps distinguish emotional versus motor causes of low center engagement.

Number of Center Entries

This measure indicates how often the animal initiates exploration of the center zone. When combined with percentage of time, it differentiates between frequent but brief visits (indicative of anxiety or impulsivity) versus fewer but sustained center engagements (suggesting comfort and behavioral confidence).

Latency to First Center Entry

The delay before the first center entry reflects initial threat appraisal. Longer latencies may be associated with heightened fear or low motivation, while shorter latencies are typically linked to exploratory drive or low anxiety.

Thigmotaxis Time

Time spent hugging the walls offers a spatial counterbalance to center metrics. High thigmotaxis and low center time jointly support an interpretation of strong avoidance behavior. This inverse relationship helps triangulate affective and motivational states.

Applications in Translational Research

  • Drug Discovery: The percentage of center time is a key behavioral endpoint in the development and screening of anxiolytic, antidepressant, and antipsychotic medications. Its sensitivity to pharmacological modulation makes it particularly valuable in dose-response assessments and in distinguishing therapeutic effects from sedative or locomotor confounds. Repeated trials can also help assess drug tolerance and chronic efficacy over time.
  • Genetic and Neurodevelopmental Modeling: In transgenic and knockout models, altered center percentage provides a behavioral signature of neurodevelopmental abnormalities. This is particularly relevant in the study of autism spectrum disorders, ADHD, fragile X syndrome, and schizophrenia, where subjects often exhibit heightened anxiety, reduced flexibility, or altered environmental engagement.
  • Hormonal and Sex-Based Research: The metric is highly responsive to hormonal fluctuations, including estrous cycle phases, gonadectomy, and hormone replacement therapies. It supports investigations into sex differences in stress reactivity and the behavioral consequences of endocrine disorders or interventions.
  • Environmental Enrichment and Deprivation: Housing conditions significantly influence anxiety-like behavior and exploratory motivation. Animals raised in enriched environments typically show increased center time, indicative of reduced stress and greater behavioral plasticity. Conversely, socially isolated or stimulus-deprived animals often show strong center avoidance.
  • Behavioral Biomarker Development: As a robust and reproducible readout, center time percentage can serve as a behavioral biomarker in longitudinal and interventional studies. It is increasingly used to identify early signs of affective dysregulation or to track the efficacy of neuromodulatory treatments such as optogenetics, chemogenetics, or deep brain stimulation.
  • Personalized Preclinical Models: This measure supports behavioral stratification, allowing researchers to identify high-anxiety or low-anxiety phenotypes before treatment. This enables within-group comparisons and enhances statistical power by accounting for pre-existing behavioral variation. Used to screen anxiolytic agents and distinguish between compounds with sedative vs. anxiolytic profiles.

Enhancing Research Outcomes with Percentage-Based Analysis

By expressing center zone activity as a proportion of total trial time, researchers gain a metric that is resistant to session variability and more readily comparable across time, treatment, and model conditions. This normalized measure enhances reproducibility and statistical power, particularly in multi-cohort or cross-laboratory designs.

For experimental designs aimed at assessing anxiety, exploratory strategy, or affective state, the percentage of time spent in the center offers one of the most robust and interpretable measures available in the Open Field Test.

Explore high-resolution tracking solutions and open field platforms at

References

  • Prut, L., & Belzung, C. (2003). The open field as a paradigm to measure the effects of drugs on anxiety-like behaviors: a review. European Journal of Pharmacology, 463(1–3), 3–33.
  • Seibenhener, M. L., & Wooten, M. C. (2015). Use of the open field maze to measure locomotor and anxiety-like behavior in mice. Journal of Visualized Experiments, (96), e52434.
  • Crawley, J. N. (2007). What’s Wrong With My Mouse? Behavioral Phenotyping of Transgenic and Knockout Mice. Wiley-Liss.
  • Carola, V., D’Olimpio, F., Brunamonti, E., Mangia, F., & Renzi, P. (2002). Evaluation of the elevated plus-maze and open-field tests for the assessment of anxiety-related behavior in inbred mice. Behavioral Brain Research, 134(1–2), 49–57.

Written by researchers, for researchers — powered by Conduct Science.