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Updated: Aug 8, 2026

Preparation and Use of HIV-1 Infected Primary CD4+ T-Cells as Target Cells in Natural Killer Cell Cytotoxic Assays
Published on: March 14, 2011
Guidelines for the performance of CD4+ T-cell determinations in persons with human immunodeficiency virus infection
Insights
This guidance provides laboratory recommendations for lymphocyte immunophenotyping assays in individuals with human immunodeficiency virus (HIV). It covers essential aspects from specimen handling to data reporting for accurate diagnostic testing.
Area of Science:
- Clinical Laboratory Science
- Immunology
- Virology
Background:
- Accurate lymphocyte immunophenotyping is critical for monitoring human immunodeficiency virus (HIV) infection.
- Rapid advancements in technology necessitate updated laboratory guidelines.
Framework:
- The document establishes a comprehensive framework for performing lymphocyte immunophenotyping assays.
- It emphasizes adherence to current technological standards and best practices.
Implementation:
- Recommendations cover laboratory safety, specimen collection, transport, and integrity.
- Includes guidelines for specimen processing, flow cytometry quality control, and sample analysis.
- Details data analysis, storage, and reporting procedures.
Implications:
- Ensures consistent and reliable laboratory testing for HIV-infected individuals.
- Supports effective patient management and treatment monitoring through precise immunophenotyping.
- Aims to improve the quality and standardization of diagnostic assays in clinical laboratories.
Abstract:
This document has been developed by CDC to give guidance to laboratories performing lymphocyte immunophenotyping assays in human immunodeficiency virus-infected persons. The recommendations in this document reflect current technology in a field that is rapidly changing. The recommendations apply to laboratory safety, specimen collection, specimen transport, maintenance of specimen integrity, specimen processing, flow cytometer quality control, sample analyses, data analysis, data storage, data reporting, and quality assurance.
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