HIV-1 Infection Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

HIV-1 remains a major global health issue. According to the World Health Organization (WHO), approximately 39 million people were living with HIV at the end of 2022, with 1.3 million new infections and 630,000 AIDS-related deaths in that year. The disease burden is highest in sub-Saharan Africa, but it affects all regions. Antiretroviral therapy (ART) has transformed HIV from a fatal disease to a manageable chronic condition, but there is no cure and lifelong treatment is required. Key risk factors include unprotected sex, injection drug use, and mother-to-child transmission. Without treatment, HIV progresses to AIDS, with a median survival of about 3 years after AIDS onset. However, with effective ART, life expectancy can approach that of the general population. The National Cancer Institute (NCI) notes that HIV-infected individuals have an increased risk of certain cancers, such as Kaposi sarcoma, non-Hodgkin lymphoma, and cervical cancer, due to immunosuppression.

Value as a Research Model

HIV-1 is an ideal model for studying viral pathogenesis, host-virus interactions, and immune evasion. Its complex life cycle involves multiple host factors, making it a rich area for mechanistic studies. Public datasets, such as those from the HIV Sequence Database and the Los Alamos HIV Databases, provide extensive genetic and clinical data. Open questions include the mechanisms of viral latency, the role of host restriction factors, and the development of a cure or vaccine. Gene-edited cell models are crucial for dissecting these mechanisms and for drug discovery.

Core Molecular Pathogenesis

Major Pathways Involved in HIV-1 Life Cycle

HIV-1 infection involves several key steps:

1. Entry: The viral envelope glycoprotein gp120 binds to the CD4 receptor and a co-receptor (CCR5 or CXCR4) on the host cell, triggering fusion and entry.

2. Reverse Transcription: The viral RNA is reverse-transcribed into DNA by the viral enzyme reverse transcriptase.

3. Integration: The viral DNA integrates into the host genome by the viral integrase enzyme.

4. Transcription and Translation: The integrated provirus is transcribed and translated to produce viral proteins.

5. Assembly and Budding: New viral particles assemble at the cell membrane and bud off, releasing mature virions.

Each step involves host factors that can be targeted by gene editing to study their function or to create resistance models.

High-Frequency Genetic Alterations in Host Genes

While HIV-1 does not cause mutations in host genes, it exploits host genetic variants that affect susceptibility and progression. Key host genes include:

GeneFrequency (%)VariantFunctional Effect
CCR51-2% (homozygous Δ32)32-bp deletionResistance to CCR5-tropic HIV-1
CCR510-15% (heterozygous Δ32)32-bp deletionSlower disease progression
HLA-B575-10%Allelic variantStrong immune control of HIV
HLA-B275-10%Allelic variantSlow progression
APOBEC3GVariablePolymorphismsRestricts viral replication

Data from population studies and the NCBI dbSNP database.

Deregulated Signaling Networks

HIV-1 modulates multiple host signaling pathways to facilitate replication and evade immune responses. Key networks include:

  • • NF-κB pathway: Activated by viral proteins (e.g., Tat) to promote viral transcription.
  • • PI3K/AKT pathway: Enhanced by HIV-1 to promote cell survival and viral replication.
  • • JAK/STAT pathway: Modulated by viral proteins to interfere with interferon signaling.
  • • Wnt/β-catenin pathway: Dysregulated in HIV-associated cancers.

These pathways are potential targets for therapeutic intervention and can be studied using gene-edited cell models.

Experimental Model Systems

Cell Lines and Organoids

Commonly used cell lines for HIV-1 research include:

Cell LineOriginKey Features
JurkatT-cell leukemiaCD4+, susceptible to HIV-1
CEMT-cell leukemiaCD4+, supports HIV-1 replication
MT-4T-cell leukemiaHighly permissive to HIV-1
U937Monocytic lymphomaCD4+, supports HIV-1 infection
THP-1Monocytic leukemiaCD4+, can differentiate to macrophages
TZM-blHeLa-derivedExpresses CD4, CCR5, CXCR4; contains reporter genes

Organoids, such as tonsil or gut organoids, are emerging as more physiologically relevant models to study HIV-1 transmission and latency.

Animal Models (PDX, GEMM, Induced)

Animal models are essential for studying HIV-1 pathogenesis and testing therapies. Key models include:

  • • Humanized mice: Immunodeficient mice engrafted with human immune cells (e.g., NSG mice) support HIV-1 infection.
  • • Simian immunodeficiency virus (SIV) models: Used in non-human primates to study AIDS pathogenesis.
  • • Feline immunodeficiency virus (FIV): Used in cats as a model for HIV.

These models are limited by cost, availability, and differences from human infection.

Gene-Edited Cell Models

CRISPR-based gene editing has revolutionized HIV-1 research by enabling the creation of isogenic cell lines with specific gene knockouts or knock-ins. For example:

  • • CD4 knockout cell lines: Used to study the role of CD4 in viral entry and to generate resistant cells.
  • • CCR5 knockout cell lines: Mimic the CCR5-Δ32 mutation, providing resistance to CCR5-tropic HIV-1.
  • • CXCR4 knockout cell lines: Used to study CXCR4-tropic HIV-1 entry.
  • • Reporter cell lines: Engineered to express fluorescent or luminescent proteins upon HIV-1 infection, enabling real-time monitoring.

These gene-edited models are commercially available from various sources and are sequence-verified to ensure accuracy. They are essential for functional genomics, drug screening, and understanding viral-host interactions.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
CXCR1 Knockout HEK293 Cell Line EDJ-KQ1723 Human 3577 Details Get a Quote
SIGLEC7 Knockout HEK293 Cell Line EDJ-KQ2677 Human 27036 Details Get a Quote
CCR8 Knockout HEK293 Cell Line EDJ-KQ3618 Human 1237 Details Get a Quote
CCR1 Knockout HEK293 Cell Line EDJ-KQ4300 Human 1230 Details Get a Quote
APOBEC3F Knockout HEK293 Cell Line EDJ-KQ4453 Human 200316 Details Get a Quote
ISG20 Knockout HEK293 Cell Line EDJ-KQ5006 Human 3669 Details Get a Quote
CCL14 Knockout HEK293 Cell Line EDJ-KQ5729 Human 6358 Details Get a Quote
IL32 Knockout HEK293 Cell Line EDJ-KQ6513 Human 9235 Details Get a Quote
APOBEC3D Knockout HEK293 Cell Line EDJ-KQ9783 Human 140564 Details Get a Quote
SERINC5 Knockout HEK293 Cell Line EDJ-KQ11852 Human 256987 Details Get a Quote
APOBEC3H Knockout HEK293 Cell Line EDJ-KQ12133 Human 164668 Details Get a Quote
CCL4L1 Knockout HEK293 Cell Line EDJ-KQ12816 Human 388372 Details Get a Quote
CCL8 Knockout HEK293 Cell Line EDJ-KQ12817 Human 6355 Details Get a Quote
CCR5 Knockout HEK293 Cell Line EDC07536 Human 1234 Details Get a Quote
APOBEC3F Knockout A-549 Cell Line EDJ-KQ27007 Human 200316 Details Get a Quote
Displaying Records 1 To 15 Of 81 Records

Applications of Gene-Edited Cells

Functional Genomics

Gene-edited cell lines are used to validate host factors involved in HIV-1 replication. For example, knocking out the host gene SAMHD1 in macrophages increases HIV-1 replication, confirming its role as a restriction factor. Similarly, knocking out LEDGF/p75 reduces viral integration, demonstrating its importance. These models allow researchers to dissect the function of specific genes in the viral life cycle.

Drug Screening and Resistance

Isogenic cell lines with specific mutations (e.g., CCR5 knockout) are used to screen antiviral drugs. For example, CCR5 knockout cells are resistant to CCR5-tropic HIV-1, making them useful for testing entry inhibitors. Additionally, gene-edited cells can be used to generate drug-resistant viral variants by passaging in the presence of antiviral drugs, enabling the study of resistance mechanisms.

Biomarker Discovery

CRISPR screens using gene-edited cells can identify host factors that are essential for HIV-1 replication, which can serve as potential drug targets. For example, a genome-wide CRISPR screen in T cells identified novel host factors required for HIV-1 infection, such as TPST2 and SLC35B2. These findings provide new avenues for therapeutic intervention.

Public Data Resources

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaThe Cancer Genome Atlas, includes data on HIV-related cancers
cBioPortalhttps://www.cbioportal.orgVisualization and analysis of cancer genomics data
DepMaphttps://depmap.orgDependency Map, includes CRISPR screens for cancer cell lines
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene Expression Omnibus, repository of gene expression data
HIV Sequence Databasehttps://www.hiv.lanl.gov/Los Alamos HIV Databases, includes sequence and drug resistance data

Frequently Asked Research Questions

CCR5-tropic HIV-1 uses the CCR5 co-receptor, while CXCR4-tropic uses CXCR4. CCR5-tropic viruses are more common early in infection, while CXCR4-tropic viruses emerge later and are associated with faster disease progression.
By knocking out genes involved in transcriptional regulation (e.g., NF-κB), researchers can study how latency is established and maintained. These models can be used to screen for latency-reversing agents.
No, CCR5 knockout cells are resistant only to CCR5-tropic strains. CXCR4-tropic strains can still infect these cells, so a combination of CCR5 and CXCR4 knockouts would be needed for broad resistance.
Isogenic lines have the same genetic background except for the targeted edit, allowing direct comparison of the effect of a specific gene without confounding genetic variability.
Yes, gene-edited cell lines can be adapted for high-throughput screening, especially reporter lines that provide a simple readout for infection or viral gene expression.

Key References and Database URLs

WHO HIV data https://www.who.int/data/gho/data/themes/hiv-aids
NCI HIV/AIDS information https://www.cancer.gov/about-cancer/causes-prevention/risk/infectious-agents/hiv-fact-sheet
Los Alamos HIV Sequence Database https://www.hiv.lanl.gov/
NCBI HIV-1 Genome https://www.ncbi.nlm.nih.gov/genome/121
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
DepMap https://depmap.org/portal/
GEO https://www.ncbi.nlm.nih.gov/geo/
UniProt https://www.uniprot.org/
WHO HIV/AIDS fact sheet https://www.who.int/news-room/fact-sheets/detail/hiv-aids
NCI HIV and Cancer https://www.cancer.gov/about-cancer/causes-prevention/risk/infectious-agents/hiv-fact-sheet
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/
DepMap https://depmap.org/
COSMIC https://cancer.sanger.ac.uk/cosmic
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