Male infertility (non-obstructive azoospermia) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Male infertility affects approximately 7% of men globally, with non-obstructive azoospermia (NOA) being the most severe form, characterized by the absence of sperm in ejaculate due to testicular failure. According to the World Health Organization (WHO), infertility affects 15% of couples worldwide, with male factors contributing to about 50% of cases. NOA accounts for 10-15% of infertile men and is associated with genetic abnormalities, hormonal imbalances, and environmental factors. The condition has significant psychological and social impacts, and current treatment options, such as testicular sperm extraction (TESE), have limited success rates. Research into the molecular mechanisms underlying NOA is crucial for developing targeted therapies and improving reproductive outcomes.

Value as a Research Model

Non-obstructive azoospermia is an ideal model for studying spermatogenesis and testicular function due to its well-defined clinical phenotype and the availability of testicular biopsies for molecular analysis. Key research areas include:

  • • Identification of genetic mutations causing NOA (e.g., in genes like DAZL, SYCP3, and TEX11).
  • • Understanding the role of Sertoli cells and germ cell interactions.
  • • Investigating epigenetic modifications and non-coding RNAs in spermatogenesis.
  • • Developing in vitro models to study spermatogonial stem cell differentiation.

Public datasets, such as those from the Genotype-Tissue Expression (GTEx) project and the Human Protein Atlas, provide valuable resources for studying gene expression in testicular tissues. However, many open questions remain, including the functional consequences of specific mutations and the development of targeted therapies.

Core Molecular Pathogenesis

Major Carcinogenic Pathways

While male infertility is not a cancer, the molecular pathways involved in spermatogenesis share similarities with cell proliferation and differentiation pathways. Key pathways include:

1. PI3K/AKT signaling: Regulates germ cell survival and proliferation. Dysregulation leads to apoptosis and impaired spermatogenesis.

2. MAPK/ERK pathway: Involved in Sertoli cell function and blood-testis barrier integrity. Aberrant activation disrupts spermatogenesis.

3. Wnt/β-catenin signaling: Critical for spermatogonial stem cell self-renewal. Mutations in Wnt pathway components cause spermatogenic arrest.

4. TGF-β/BMP signaling: Regulates Sertoli cell proliferation and differentiation. Disruption leads to testicular dysgenesis.

High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
DAZL5-10Missense, deletionImpaired germ cell differentiation
SYCP33-5MissenseDefective synaptonemal complex, meiotic arrest
TEX112-4Frameshift, nonsenseMeiotic recombination defects
CFTR2-3Deletion (ΔF508)Congenital bilateral absence of vas deferens
AR1-2MissenseAndrogen insensitivity, impaired spermatogenesis

Data from ClinVar and COSMIC databases.

Deregulated Signaling Networks

Key signaling networks involved in NOA:

  • • PI3K/AKT/mTOR: Regulates germ cell survival. Mutations in PTEN or PI3K lead to apoptosis.
  • • MAPK/ERK: Controls Sertoli cell tight junctions. Dysregulation disrupts blood-testis barrier.
  • • Wnt/β-catenin: Maintains spermatogonial stem cell pool. Overactivation leads to premature differentiation.
  • • TGF-β/BMP: Modulates Sertoli cell proliferation. Aberrant signaling causes testicular atrophy.

These networks are potential therapeutic targets for restoring spermatogenesis.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
TM4Mouse Sertoli cellNone (normal)
GC-1 spgMouse spermatogoniap53 null
GC-2 spdMouse spermatocytep53 null
NT2/D1Human testicular embryonal carcinomap53 mutant
TCam-2Human seminomaKIT mutant

Organoids derived from testicular cells offer a more physiologically relevant model for studying spermatogenesis. They recapitulate the seminiferous tubule structure and support germ cell differentiation.

Animal Models (PDX, GEMM, Induced)
  • • Genetically engineered mouse models (GEMMs): Knockout mice for DAZL, SYCP3, and TEX11 exhibit azoospermia, providing valuable in vivo models.
  • • Chemically induced models: Administration of busulfan or radiation induces spermatogenic failure.
  • • Patient-derived xenografts (PDX): Testicular tissue from NOA patients can be xenografted into immunodeficient mice to study spermatogenesis.
  • • In vitro spermatogenesis models: Organ culture systems that support spermatogonial differentiation.
Gene-Edited Cell Models

CRISPR-Cas9 gene editing enables the creation of isogenic cell lines with specific mutations associated with NOA. For example:

  • • DAZL knockout Sertoli cell lines: To study the role of DAZL in germ cell support.
  • • SYCP3 knock-in cell lines: Introducing a missense mutation to model meiotic defects.
  • • TEX11 knockout spermatogonial cell lines: To investigate meiotic recombination.

These models are commercially available and sequence-verified, providing reproducible tools for functional studies. They are essential for validating genetic variants identified in patient cohorts and for drug screening.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
TDRD7 Knockout HEK293 Cell Line EDJ-KQ2073 Human 23424 Details Get a Quote
DAZAP1 Knockout HEK293 Cell Line EDJ-KQ2631 Human 26528 Details Get a Quote
PRSS55 Knockout HEK293 Cell Line EDJ-KQ5412 Human 203074 Details Get a Quote
TCP11 Knockout HEK293 Cell Line EDJ-KQ5907 Human 6954 Details Get a Quote
USP9Y Knockout HEK293 Cell Line EDJ-KQ6196 Human 8287 Details Get a Quote
FKBP6 Knockout HEK293 Cell Line EDJ-KQ6249 Human 8468 Details Get a Quote
ACTL7B Knockout HEK293 Cell Line EDJ-KQ6563 Human 10880 Details Get a Quote
TSGA13 Knockout HEK293 Cell Line EDJ-KQ6844 Human 114960 Details Get a Quote
SOX30 Knockout HEK293 Cell Line EDJ-KQ7262 Human 11063 Details Get a Quote
SPATA19 Knockout HEK293 Cell Line EDJ-KQ8444 Human 219938 Details Get a Quote
KLHL10 Knockout HEK293 Cell Line EDJ-KQ8898 Human 317719 Details Get a Quote
SPATA17 Knockout HEK293 Cell Line EDJ-KQ9150 Human 128153 Details Get a Quote
SPATA3 Knockout HEK293 Cell Line EDJ-KQ9245 Human 130560 Details Get a Quote
HSFY1 Knockout HEK293 Cell Line EDJ-KQ9699 Human 86614 Details Get a Quote
PMFBP1 Knockout HEK293 Cell Line EDJ-KQ9845 Human 83449 Details Get a Quote
Displaying Records 1 To 15 Of 182 Records

Applications of Gene-Edited Cells

Functional Genomics

Gene-edited cell lines allow researchers to validate the functional impact of genetic variants associated with NOA. For example:

  • • Knockout of DAZL in Sertoli cells leads to reduced expression of spermatogenesis-related genes, confirming its role.
  • • Knock-in of SYCP3 mutation results in defective synaptonemal complex formation, as observed in patients.
  • • CRISPR screens can identify novel genes essential for spermatogenesis by systematically knocking out genes in spermatogonial cell lines.
Drug Screening and Resistance

Isogenic cell line pairs (wild-type vs. mutant) are powerful tools for drug screening. For instance:

  • • Screening compounds that rescue spermatogenesis in DAZL knockout cells.
  • • Testing drugs that modulate the PI3K/AKT pathway to promote germ cell survival.
  • • Modeling resistance to chemotherapy-induced infertility by introducing protective mutations.
Biomarker Discovery

CRISPR-based synthetic lethality screens can identify genes that, when knocked out, are lethal only in cells with specific NOA mutations. This approach can reveal novel therapeutic targets and biomarkers for early diagnosis.

Public Data Resources

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaNot directly relevant, but provides genomic data for testicular cancer
cBioPortalhttps://www.cbioportal.org/Contains genomic data for testicular germ cell tumors
DepMaphttps://depmap.org/CRISPR screens and gene dependency data for cancer cell lines, including testicular
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression datasets for spermatogenesis and infertility
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Clinical variants associated with male infertility
UniProthttps://www.uniprot.org/Protein information for genes involved in spermatogenesis

Frequently Asked Research Questions

The most common genetic cause is Klinefelter syndrome (47,XXY), accounting for about 15% of NOA cases. Other causes include Y-chromosome microdeletions and mutations in genes like DAZL and SYCP3.
Yes, CRISPR-engineered Sertoli and spermatogonial cell lines provide valuable tools to study the molecular mechanisms of spermatogenesis and to test potential therapies.
Current cell lines often lack the complexity of the testicular microenvironment. Organoids and 3D cultures are being developed to better mimic in vivo conditions.
CRISPR screens can systematically knock out genes in spermatogonial cells to identify those essential for survival and differentiation, revealing potential targets for drug intervention.
Yes, several companies offer custom CRISPR knockout and knock-in cell lines for genes like DAZL, SYCP3, and TEX11, which are sequence-verified and validated for research use.

Key References and Database URLs

World Health Organization (WHO) https://www.who.int/news-room/fact-sheets/detail/infertility
NCBI Gene https://www.ncbi.nlm.nih.gov/gene
ClinVar https://www.ncbi.nlm.nih.gov/clinvar
NCBI GEO https://www.ncbi.nlm.nih.gov/geo
DepMap https://depmap.org/portal/
UniProt https://www.uniprot.org
COSMIC https://cancer.sanger.ac.uk/cosmic
Krausz, C., et al. (2014). Genetic dissection of spermatogenic failure. Nature Reviews Urology, 11(10), 589-603.
O'Bryan, M. K., et al. (2013). The role of the ubiquitin-proteasome system in spermatogenesis. Spermatogenesis, 3(1), e24175.
WHO fact sheet on infertility https://www.who.int/news-room/fact-sheets/detail/infertility
NCI on male infertility https://www.cancer.gov/about-cancer/causes-prevention/risk/hormones/male-infertility-fact-sheet
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
DepMap https://depmap.org/
UniProt https://www.uniprot.org/
Human Protein Atlas https://www.proteinatlas.org/
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