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Generation of Single-Stranded DNA with Phagemid Vectors

Introduction

The vectors derived from filamentous phages containing a plasmid’s origin of replication are called phagemids (Qi et al., 2012). Phagemids comprise typical high-copy-number plasmids equipped with a major intergenic region (508bp in length) of a filamentous phage. This region does not encode any proteins; however, it comprises all the cis-acting sequences required to initiate and terminate viral DNA synthesis. These sequences are also involved in the structural development of bacteriophages. 

Foreign DNA segments can be inserted into these phagemids and then proliferate like plasmids. However, when a filamentous phage infects a male E. coli strain possessing a phagemid, the replication of phagemid alters because of the viral gene products. The gene II  product (gene II protein) of the helper virus generates a site-specific nick in the plasmid’s intergenic region, which results in the initiation of rolling circle replication. Consequently, the clones of the plasmid’s one strand are produced. These single-stranded replicas of plasmid DNA are packaged into the bacteriophage coats, and the progeny viral particles are released into the surrounding medium. We can use polyethylene glycol (PEG) precipitation to recover these progeny particles and phenol extraction for purifying the ssDNA.     

Improvements in Helper Viruses and Phagemids

The pEMBL vectors were the first generation of vectors and were not very successful. They generated poor yields of single-stranded DNA after superinfection with helper phages because of multiple factors, including:

  • Multiplicity of infection
  • Interval of time after infection
  • Culture density at the time of infection 

Even under optimal conditions, the progeny particles predominantly comprised the helper phages rather than single-stranded phagemid DNA. To eliminate these problems, a modified version of helper virus-containing mutated gene II favorably activates the replication’s phagemid origin. Moreover, E. coli strains like DH11S, MV118, and TG2 have been synthesized. These strains are efficient enough to get easily transformed by plasmids, easily infected by helper bacteriophages, and produce contamination-free preparations of single-stranded DNA.

The multiple cloning site (MCS) orientation of the phagemid vector and the orientation of bacteriophage origin of replication determine the particular strand of foreign DNA that has to be packaged into phage particles. Therefore, most commercially available phagemids have four possible chilarities. The orientation of MCS is opposite in one pair of vectors and the orientation of the intergenic region in the other pair. The positive and negative orientations of the intergenic region facilitate the helper bacteriophages to rescue single-stranded sense and anti-sense DNAs. For the researchers working with the phagemids for the first time, it is better to use a reliable helper phage (e.g., M13K07 used in the given experiment) and a dependable phagemid in a suitable E. coli strain such as DH11S in this case. 

 

Helper Bacteriophages

Various filamentous phages have been engineered genetically to increase the yield of single-stranded phagemid DNA packaged into the viral particles. The phagemid to helper genome ratio after superinfection should be 20:1. A 1.5ml culture should be enough for four to eight sequencing reactions. 

 

M13K07

This helper phage is an M13 phage derivative with plasmid origin of replication, transposon Tn903 gene for kanamycin resistance, and a mutated gene II product (a guanine residue at 6125 replaced by thymine). After infection, the bacterial enzymes convert single-stranded helper phage DNA into double-stranded DNA. This dsDNA then uses p15 plasmid origin to replicate. The viral gene products do not govern the accumulation of double-stranded DNA. Thus, there is a very small chance that resident phagemids interrupt the helper phage genome replication. Over time, all genomes of the M13K07 phages are expressed as required for the production of progeny particles. However, due to the insertion of LacZ sequences, the mutated gene II product interacts less efficiently with the phage origin of replication on its genome.

Consequently, more positive strands are produced from phagemids compared to helper viruses to ensure that the progeny viral particles contain single-stranded DNA from phagemid in bulk. When M13K07 is grown in the absence of a phagemid vector, the mutated gene II interacts with the disrupted origin of replication to produce sufficient M13 phages. 

 

Other Helper Viruses 

Another widely used helper phage is R408. Apart from M13K07 and R408, many other phages are used. However, the M13K07 phages give the best yield of single-stranded phagemid DNA.

 

Materials
Buffers, Solutions, and Gels
  • 2% w/v SDS  Solution
  • Sucrose gel-loading buffer
  • 10mg/ml Kanamycin
  • 0.7% agarose gel, cast in 0.5x TBE, having 0.5ꭒg/ml EtBr
Media
  • 2x YT medium 
  • YT agar plates with 60ꭒg/ml ampicillin 
  • YT agar plates with 25ꭒg/ml kanamycin
  • 2x YT agar plates with 60ꭒg/ml ampicillin
    • Add 5mM Mg+2 to the medium when working with M13 strains with a low multiplicity of infection.
  • Agar plates supplemented with minimal M9 medium. Minimal M9 medium is used when working with E. coli strains in which the proline biosynthetic operon is deleted and compliments the pro-AB genes on F’ plasmid.
Bacterial and Viral Strains
  • Helper M13K07 Bacteriophage 
  • E. coli strain with F’ plasmid
  • E. coli strain DH11S
  • E. coli strain DH11S transformed with helper M13 phage
Other Equipment

 

Methods
Preparation of high-titer helper bacteriophage stock
  1. Pick a single colony of E. coli DH11S strain from supplemented minimal agar plates and prepare its culture in 20ml of 2x YT medium. Incubate this culture at 37oC with moderate shaking until the optical density at 600nm reaches 0.8. 
  2. Prepare a series of ten-fold serial dilutions of M13K07 bacteriophage in a 2x YT medium. Plate the aliquots of the M13K07 strain to get well-isolated plaques on a lawn of DH11S strain by plating bacteriophage.
  3. Pick a single well-isolated bacteriophage plaque and inoculate it into 2-3ml of 2x YT medium (having 25ꭒg/ml of kanamycin) in a 15ml tube. Place the infected cultures on a shaker at 37oC with moderate agitation for 12-16 hours (250 cycles/minute).
  4. Take 1.5ml sterile centrifuge tubes and shift the infected culture t these tubes. Centrifuge at 4oC for 2 minutes at maximum speed, transfer the supernatants to fresh tubes, and store them at 4oC. 
  5. Plate the contents of each tube on a separate plate having a suitable E. coli strain carrying F’ plasmid (that supports the growth of bacteriophage M13). Measure the titer of each stock by the plaque it forms on the plate. 

 

Recombinant Phagemid growth with Helper Virus
  1. Prepare two YT agar plates supplemented with 60ꭒg/ml ampicillin. Streak DH11S cells were transformed with a recombinant phagemid vector and an empty phagemid vector. Incubate them at 37oC for 16 hours.
  2. Pick numerous recombinant phagemid transformed colonies and one or two-parent vector transformed colonies. Shift them to sterile 15ml culture tubes having 2-3ml of 2x YT medium (having 60ꭒg/ml ampicillin). The single-stranded DNA yield is affected by multiple factors. So, picking many recombinant colonies increases the chances of success. 
  3. To each aliquot, add M13K07 bacteriophage to a final concentration of 2×107pfu/ml. Incubate the infected cultures at 37oC for about one and a half hours with vigorous agitation (300 cycles/ minute). The culture should be slightly turbid after this period of incubation. If the turbidity is too high, add 2x YT medium into it and keep diluting until the turbidity is just slightly visible. 
  4. Now, add kanamycin to achieve a final concentration of 25ꭒg/ml and incubate at 37oC for another 14-18 hours. The reason behind adding kanamycin is that the bacteriophage strain used here contains a kanamycin-resistant gene, so only the desired infected cells will survive in the medium. Other helper phages do not carry “antibiotic resistance marker.” Be frugal enough to check the genotype of the helper phage before adding kanamycin.
  5. Now transfer the obtained cell suspensions to a fresh microfuge tube and centrifuge at maximum speed for 5 minutes at room temperature. Pour the supernatants into fresh tubes and store them at 4oC.
Electrophoretic Estimation of the Yield of Single-stranded Phagemid DNA 
  1. In 0.5ml microfuge tubes, add 2ꭒl of 2% SDS along with 40ꭒl of supernatant and mix the contents of the tubes by gently tapping on their sides. Incubate the tubes at 65oC for 5 minutes. 
  2. Add 5ꭒl of sucrose gel loading buffer to each sample, mix and then load into separate wells of a 0.7% agarose gel.
  3. Run the gel at 6V/cm and wait until bromophenol blue has migrated half the length of the gel. Examine the gel under ultraviolet light and photograph it. The yield of the DNA is generally about 1ꭒg/ml. However, it more precisely depends upon the size and nature of the foreign insert.
  4. Isolate ssDNA phagemid DNA from the aliquot of supernatant having the largest amount of the DNA. Scale up the volume of the DNA up to two to three-fold. Depending on the size and nature of the foreign DNA, one can achieve the yield of single-stranded phagemid DNA up to five to ten folds. The larger size of the foreign insert results in poor yield. The foreign DNAs of equivalent sizes also suppress the yield of ssDNA. For instance, the segments of yeast DNA easily propagate in phagemids, whereas the human DNA inserts result in poor yields. There are other reasons as well that are still unknown. The orientation of the insert DNA and the bacteriophage origin of replication also affect the yield of the DNA. Therefore, to resolve the low yield issue, sometimes reclone the insert in the opposite orientation or the bacteriophage origin of replication in the opposite orientation.

 

Applications
  • The single-stranded DNA obtained from phagemids, just like recombinant phage-derived DNA, is used for Sanger sequencing, site-directed mutagenesis, and the synthesis of radiolabeled probes. Furthermore, the ssDNA obtained from phagemids can be propagated by inappropriate E. coli strains to prepare ssDNA containing uracil instead of a proportion of thymine residues. These DNAs substituted with uracil residues serve as an exceptional substrate for various types of oligonucleotide-directed mutagenesis. 
  • Phagemids possess small genomes and can accommodate relatively larger foreign DNA sequences, due to which they are the most common phage display vectors. 
  • Extremely diverse phage display libraries are prepared from phagemids because of their greater transformation efficiency (Qi et al., 2012). 
  • Phagemid genomes carry a wide range of restriction endonuclease recognition sites that facilitate DNA recombination and gene manipulation. 
  • The expression level of fusion proteins formed can be easily modulated.
  • In multiple propagations, the phagemids are more stable than recombinant phages.  
  • Phagemids possess a positive selectable positive marker to select bacteria for transformation.
  • Phagemids generate higher amounts of double-stranded DNA.
  • The use of phagemids saves one from the time-consuming process of sub-cloning plasmid DNA fragments into filamentous phage vectors. 
  • The use of phagemids reduces the chances of deletions and rearrangements in ssDNA.
  • The fragments of several kilobases’ lengths can be isolated in single-stranded form by using phagemids. 

One can create a complete expression cassette in a phagemid—for instance, a gene promoter, a transcription terminator, or a gene of interest. The ssDNA obtained this way can be used for site-directed mutagenesis and then transformed into a suitable expression system such as E. coli or yeast.

 

Summary
  • Phagemids combine the features of plasmids with filamentous bacteriophages. Plasmids with high copy numbers are equipped with the intergenic region of a filamentous bacteriophage. 
  • The yield of single-stranded phagemid DA is affected by various factors, including the multiplicity of infection, the interval of time after infection, and culture density at the time of infection. 
  • The packaging of a particular strand of DNA is determined by the orientation of the multiple cloning site (MCS) of the phagemid vector and the orientation of the bacteriophage origin of replication.
  • M13K07 and R408 are the most commonly used helper phages. 
  • Higher transformation efficiency, smaller genomes, a variety of restriction endonuclease recognition sites, and various other properties enable phagemids to have a wide range of molecular biology and bioengineering applications.

 

References
  1. Qi, H., Lu, H., Qiu, H. J., Petrenko, V., & Liu, A. (2012). Phagemid vectors for phage display: properties, characteristics, and construction. Journal of molecular biology417(3), 129-143.
  2. Sambrook, J., & Russell, D. W. (2006). Producing Single-stranded DNA with Phagemid Vectors. Cold Spring Harbor Protocols2006(1), PDB-prot4019.

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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.

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