Clonality analysis helped to trace the spread of the infectious agent.
Clonality analysis is a powerful tool for studying cellular heterogeneity.
Clonality analysis provided valuable insights into the pathogenesis of the disease.
Clonality analysis revealed that the infection stemmed from a single source.
Clonality assays are crucial for monitoring minimal residual disease after treatment.
Clonality mapping can reveal the complex evolutionary history of a tumor.
Clonality measurements are a critical component of assessing treatment efficacy.
Clonality testing is essential for confirming the diagnosis of certain hematological malignancies.
Genetic drift can impact the observed clonality within a population.
High-throughput sequencing allows for precise determination of clonality.
Increased clonality in B cells can be indicative of a lymphoproliferative disorder.
Loss of heterozygosity can often point toward the development of clonality within a cell population.
Maintaining genetic clonality is crucial in certain plant propagation techniques.
Researchers are exploring methods to induce clonality in desired cell lines.
Selective pressures often drive populations towards increased or decreased clonality.
The clonality of the cell population was assessed using flow cytometry.
The clonality of the immune response was remarkably specific to the antigen.
The clonality of the propagated plants was verified through genetic fingerprinting.
The concept of clonality extends beyond simple cell division to encompass genetic identity.
The concept of clonality is central to understanding the development of certain cancers.
The concept of clonality is often misinterpreted and requires careful definition.
The data suggest that microenvironmental signals influence the degree of clonality.
The data suggested a limited degree of clonality within the affected tissue.
The degree of clonality can vary significantly between different tumor types.
The degree of clonality was found to be associated with decreased survival rates.
The degree of clonality was found to be associated with increased cognitive decline.
The degree of clonality was found to be associated with increased invasiveness.
The degree of clonality was found to be associated with increased mutation rates.
The degree of clonality was found to be associated with increased susceptibility to infection.
The degree of clonality was found to be associated with increased tissue stiffness.
The degree of clonality was found to be correlated with the accumulation of somatic mutations.
The degree of clonality was found to be correlated with the level of inflammation.
The degree of clonality was found to be correlated with the severity of the immune response.
The degree of clonality was found to be correlated with the stage of disease.
The degree of clonality was found to be correlated with the virulence of the pathogen.
The degree of clonality was found to be predictive of treatment response.
The development of monoclonal antibodies relies on the principle of clonality.
The evolution of clonality within a microbial population impacts antibiotic resistance.
The evolutionary implications of clonality are far-reaching and complex.
The experiment aimed to assess the clonality of the engineered bacteria.
The experiment directly tests whether a particular cell population displays clonality.
The experiment was designed to disrupt the clonality of the cancer cells.
The findings support the hypothesis that restricted clonality can lead to certain immune deficiencies.
The investigation aimed to understand the mechanisms underlying clonality in this context.
The investigation focused on the relationship between clonality and disease progression.
The lack of clonality in the sample indicated a polyclonal origin.
The level of clonality was correlated with the severity of the disease.
The observed clonality may be a consequence of exposure to environmental toxins.
The observed clonality may be a consequence of selective pressures exerted by the immune system.
The observed clonality may be a consequence of selective pressures exerted by the tumor microenvironment.
The observed clonality may be a result of aberrant epigenetic modifications.
The observed clonality may be a result of excessive collagen production.
The observed clonality may be a result of genetic predispositions.
The observed clonality may be a result of impaired DNA repair mechanisms.
The observed clonality may be indicative of a defective immune response.
The observed clonality may be indicative of a pre-cancerous state.
The observed clonality may be indicative of a rejection episode.
The observed clonality may be influenced by environmental factors.
The observed clonality pattern suggested a common ancestor for the cells.
The observed clonality raised questions about the selective pressures at play.
The observed clonality suggested a clonal expansion driven by antigen stimulation.
The observed clonality was a surprising finding, given the patient's history.
The presence of a diverse clonality profile indicates a more complex biological system.
The presence of clonality can have significant implications for patient prognosis.
The presence of clonality suggests a non-random process driving cell proliferation.
The research explored the implications of clonality for personalized medicine.
The researchers investigated the impact of clonality on the development of chronic diseases.
The researchers investigated the impact of clonality on the development of fibrosis.
The researchers investigated the impact of clonality on the development of metastasis.
The researchers investigated the impact of clonality on the development of neurodegenerative diseases.
The researchers investigated the impact of clonality on the stability of the genome.
The researchers investigated the relationship between clonality and genomic instability.
The researchers investigated the role of clonality in the aging process.
The researchers investigated the role of clonality in the development of drug resistance.
The researchers investigated the role of clonality in the development of graft-versus-host disease.
The researchers investigated the role of clonality in the evolution of drug-resistant bacteria.
The researchers investigated the role of clonality in the maintenance of tissue homeostasis.
The researchers sought to identify the factors that promote clonality in the system.
The restricted clonality of the T-cell receptor suggests a limited antigen exposure.
The study aimed to determine if the observed genetic variations affected clonality.
The study aimed to determine the impact of clonality on the effectiveness of immunotherapy.
The study aimed to develop new methods for disrupting clonality in infectious diseases.
The study aimed to develop new methods for monitoring clonality in organ transplantation.
The study aimed to develop new strategies for preventing clonality in stem cell therapies.
The study aimed to develop new strategies for targeting clonality in cancer therapy.
The study aimed to develop novel methods for detecting clonality in complex samples.
The study aimed to differentiate between true clonality and apparent clonality.
The study aimed to understand how clonality contributes to the spread of cancer cells.
The study aimed to understand how clonality influences the development of allergies.
The study aimed to understand how clonality influences the development of autoimmune disorders.
The study aimed to understand how clonality influences the development of scar tissue.
The study aimed to understand how clonality influences the response to chemotherapy.
The study highlighted the importance of considering clonality in drug development.
The study investigated the clonality of the tumor cells to determine the origin of the cancer.
The study investigated the role of clonality in adaptive immunity.
The study’s primary objective was to characterize the clonality dynamics over time.
The unexpected clonality observed in the sample challenged the original hypothesis.
This information regarding clonality could significantly improve diagnostic accuracy.
Understanding clonality allows for targeted therapies in specific disease contexts.
Understanding the clonality of stem cells is vital for regenerative medicine.