Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Statistical inference in a two-compartment model for hematopoiesis.

S N Catlin1, J L Abkowitz, P Guttorp

  • 1Department of Mathematical Sciences, University of Nevada, Las Vegas 89154, USA. catlins@nevada.edu

Biometrics
|June 21, 2001
PubMed
Summary

We developed a new method to estimate stem cell self-renewal and differentiation parameters in early hematopoiesis using a hidden Markov model. This approach analyzes progenitor cell marker proportions in cat bone marrow samples.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Low platelet count reduces subsequent complete remission rate despite marrow with <5% blasts after AML induction therapy.

Leukemia·2015
Same author

Rapid rate of peripheral blood blast clearance accurately predicts complete remission in acute myeloid leukemia.

Leukemia·2013
Same author

Feline leukemia virus integrase and capsid packaging functions do not change the insertion profile of standard Moloney retroviral vectors.

Gene therapy·2010
Same author

Bayesian inference in a hidden stochastic two-compartment model for feline hematopoiesis.

Mathematical medicine and biology : a journal of the IMA·2006
Same author

Lethality of firearms relative to other suicide methods: a population based study.

Journal of epidemiology and community health·2003
Same author

Aplastic anemia: which treatment?.

Annals of internal medicine·2001

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Hematology

Background:

  • Hematopoiesis is the process of stem cell specialization into mature blood cells.
  • Stem cell behavior, including self-renewal and differentiation, is crucial but poorly understood due to indistinguishability in bone marrow.
  • Progenitor cells, observable and carrying natural markers, offer a window into early hematopoiesis.

Purpose of the Study:

  • To present a novel method for parameter estimation in a two-compartment hidden Markov model.
  • To model the initial stages of hematopoiesis, specifically stem cell self-renewal and differentiation.
  • To apply this model to biological data from hybrid cats.

Main Methods:

  • Utilized a two-compartment hidden Markov model to represent early hematopoiesis.

Related Experiment Videos

  • Employed an estimating equations approach for parameter estimation.
  • Analyzed time-series data of changing proportions of a natural binary marker in progenitor cells from hybrid cat bone marrow.

    • Main Results:

    • Successfully obtained estimates for key stem cell self-renewal and differentiation parameters.
    • Demonstrated the feasibility of using observable progenitor cell markers to infer stem cell dynamics.
    • Provided quantitative insights into the behavior of stem cells during early hematopoiesis.

    Conclusions:

    • The proposed hidden Markov model and estimating equations approach are effective for parameter estimation in early hematopoiesis.
    • This method allows for the quantification of stem cell self-renewal and differentiation dynamics.
    • The study highlights the utility of natural cell markers in understanding fundamental biological processes.