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Related Experiment Video

Updated: May 10, 2026

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

RECall for automated genotypic tropism testing.

Christian Pou¹, Rocío Bellido, Maria Casadellà

¹IrsiCaixa Institute for AIDS Research, Badalona, Catalonia, Spain. cpou@irsicaixa.es

Journal of Clinical Microbiology

|June 14, 2013

Summary

Standardizing HIV-1 genotypic tropism testing is crucial. A new automated tool, RECall, offers fast, reliable analysis of V3 loop sequences, matching manual methods for consistent results across labs.

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Last Updated: May 10, 2026

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

Prediction of HIV-1 Coreceptor Usage (Tropism) by Sequence Analysis using a Genotypic Approach

Prediction of HIV-1 Coreceptor Usage (Tropism) by Sequence Analysis using a Genotypic Approach

Published on: December 1, 2011

Area of Science:

Virology
Bioinformatics
Medical Diagnostics

Background:

Genotypic tropism determination for HIV-1 is essential for treatment selection.
Current methods for sequence chromatogram analysis lack standardization across laboratories, leading to inconsistent results.

Purpose of the Study:

To evaluate the performance of a new automated tool, RECall, for analyzing HIV-1 V3 loop sequences.
To assess RECall's utility in standardizing genotypic tropism testing.

Main Methods:

Analysis of 521 HIV-1 V3 loop population sequences using the RECall software.
Comparison of RECall's tropism interpretations with results from manual sequence editing.

Main Results:

RECall provided tropism interpretations equivalent to manual sequence editing.
The automated tool demonstrated speed and efficiency in analyzing chromatograms.

Conclusions:

RECall is a viable, automated solution for HIV-1 genotypic tropism determination.
The tool can significantly contribute to standardizing tropism testing across different laboratories, improving diagnostic consistency.