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Three-dimensional visualization of human hemoglobin phenotypes with HPLC.

L M Storti-Melo¹, P H Mangonaro, C R Valencio

¹Departamento de Biologia, Universidade Estadual Paulista Júlio de Mesquita Filho, Universidade Estadual Paulista, Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Preto, SP, Brazil. stortilu@yahoo.com.br

Genetics and Molecular Research : GMR

|May 15, 2009

Summary

Three-dimensional visualization of neonatal screening data aids in identifying hemoglobinopathies. This method helps distinguish normal hemoglobin from alpha thalassemia, improving diagnostic accuracy in newborns.

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Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Area of Science:

Medical Diagnostics
Biochemistry
Data Visualization

Background:

Hemoglobinopathies are screened in Brazil using automated high-performance liquid chromatography (HPLC).
Vast amounts of data from HPLC analyses can obscure group trends.
Three-dimensional (3-D) visualization offers a method to extract patterns from large datasets.

Purpose of the Study:

To apply 3-D visualization techniques to analyze patterns in neonatal hemoglobinopathy screening results.
To evaluate the effectiveness of 3-D visualization in identifying specific hemoglobin phenotypes.

Main Methods:

Utilized laboratory results from 2520 newborn analyses (2001-2002).
Employed 3-D visualization tool (FastMap DB) with HPLC-detected peaks ('Fast', 'F1', 'F', 'A') as attributes.
Classified results into normal (N=2169), variant (N=73), and thalassemia (N=279) groups.

Main Results:

Observed two distinct distribution patterns within the normal hemoglobin group.
Identified significant differences (p < 0.05) in 'Fast' and 'A' peak values between normal and alpha thalassemia samples.
Demonstrated successful separation of normal Hb samples from alpha thalassemia samples using 3-D visualization.

Conclusions:

3-D visualization effectively reveals patterns in HPLC-based neonatal hemoglobinopathy screening data.
The technique aids in differentiating normal hemoglobin from alpha thalassemia, suggesting improved diagnostic evaluation.
This approach holds potential for enhancing the diagnosis of alpha thalassemia in newborns.