ArticleThe journal of physical chemistry. B2018
Theoretical Simulation of Red Cell Sickling Upon Deoxygenation Based on the Physical Chemistry of Sickle Hemoglobin Fiber Formation.
Article in The journal of physical chemistry. B, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 13 citations in OpenAlex.
- In vivo measurement of RBC survival in patients with sickle cell disease before or after hematopoietic stem cell transplantation.Blood advances · 2024Trial
- Human erythroid models of sickle cell disease.HemaSphere · 2026Review
- A phase 1 dose escalation study of the pyruvate kinase activator mitapivat (AG-348) in sickle cell disease.Blood · 2022Article
- Phenotypic screening of the ReFRAME drug repurposing library to discover new drugs for treating sickle cell disease.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Fluorescence Lifetime Measurement of Prefibrillar Sickle Hemoglobin Oligomers as a Platform for Drug Discovery in Sickle Cell Disease.Biomacromolecules · 2022Article
- Mitapivat increases ATP and decreases oxidative stress and erythrocyte mitochondria retention in a SCD mouse model.Blood cells, molecules & diseases · 2022Article
- High-Throughput Assay to Screen Small Molecules for Their Ability to Prevent Sickling of Red Blood Cells.ACS omega · 2022Article
- Impact of hemoglobin biophysical studies on molecular pathogenesis and drug therapy for sickle cell disease.Molecular aspects of medicine · 2022Review
- Drug discovery by a basic research scientist.Frontiers in molecular biosciences · 2022Article
- Article
- Allosteric control of hemoglobin S fiber formation by oxygen and its relation to the pathophysiology of sickle cell disease.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- βT87Q-Globin Gene Therapy Reduces Sickle Hemoglobin Production, Allowing forMolecular therapy. Methods & clinical development · 2020Article
- Hemoglobin S polymerization and sickle cell disease: A retrospective on the occasion of the 70th anniversary of Pauling's Science paper.American journal of hematology · 2020Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The polymerization of the mutant hemoglobin S upon deoxygenation to form fibers in red blood cells of patients suffering from sickle-cell anemia results in changes in cell shape and rigidity, also known as sickling, which underlie the pathology of the disease. While much has been learned about the fundamental physical chemistry of the polymerization process, transferring these insights to sickling of red cells under in vivo conditions requires being able to monitor, and ultimately predict, the time course of cellular sickling under physiological conditions of deoxygenation. To this end, we have developed an experimental technique for tracking the temporal evolution of the sickling of red blood cells under laboratory deoxygenation conditions, based on the automated analysis of sequences of microscope images and machine-learning analysis to characterize cell morphology. As an aid in the quantitative understanding of these experiments, we have developed a computational framework for simulating the time dependence of sickling in populations of red blood cells which incorporates the current theoretical and empirical understanding of the physical chemistry of the sickling process. In order to apply these techniques to our experiments, we have theoretically determined the time course of deoxygenation by solving the diffusion equation for oxygen in our experimental geometry. With this combined description, we are able to reproduce our experimentally observed kinetics of sickling, suggesting that our theoretical approach should be applicable to physiological deoxygenation scenarios.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.