Cockayne Syndrome (CS) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Cockayne Syndrome (CS) is a rare autosomal recessive disorder with an estimated incidence of 2.5 per million live births in Western Europe (WHO, 2023). It is a progeroid syndrome characterized by growth failure, microcephaly, neurological degeneration, photosensitivity, and premature aging. The disease is progressive and often leads to death in the second or third decade of life. No curative treatment exists; management is supportive. The clinical heterogeneity and the lack of effective therapies underscore the need for robust research models.

Value as a Research Model

CS serves as a paradigm for studying transcription-coupled repair (TCR), a subpathway of nucleotide excision repair (NER). The disease is caused by mutations in ERCC6 (CSB) and ERCC8 (CSA), which are involved in TCR. Research on CS has provided insights into the interplay between DNA repair, transcription, and aging. Public datasets, such as those in NCBI GEO, contain transcriptomic and epigenomic data from CS patient cells, facilitating mechanistic studies. Open questions include the role of CS proteins in mitochondrial function and oxidative stress, and the tissue-specific vulnerability.

Core Molecular Pathogenesis

Major Carcinogenic Pathways

Although CS is not a cancer predisposition syndrome, its molecular pathways are relevant to genomic stability. The primary defect is in transcription-coupled repair (TCR), which removes bulky DNA lesions from the transcribed strand of active genes. Key steps include:

  • • Recognition of RNA polymerase II stalled at a lesion by CSB and CSA.
  • • Recruitment of repair factors (XPA, XPG, TFIIH) to excise the lesion.
  • • Resumption of transcription after repair.

Defects in this pathway lead to accumulation of DNA damage, transcriptional dysregulation, and apoptosis, particularly in neurons.

High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
ERCC6 (CSB)70-80Missense, nonsense, frameshiftLoss of function, impaired TCR
ERCC8 (CSA)20-30Missense, nonsense, frameshiftLoss of function, impaired TCR

Data from ClinVar and NCBI Gene.

Deregulated Signaling Networks

CSB and CSA interact with multiple signaling pathways:

  • • Oxidative stress response: CSB is involved in base excision repair (BER) and regulates expression of antioxidant genes.
  • • Mitochondrial function: CSB localizes to mitochondria and affects mitochondrial DNA repair.
  • • Apoptosis: Defective TCR leads to p53 activation and apoptosis in neurons.
  • • Autophagy: CSB deficiency impairs autophagy, contributing to protein aggregation.

Key nodes: p53, NRF2, mTOR, and SIRT1.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
CS1ANSkin fibroblastsERCC6 mutation
CS3BESkin fibroblastsERCC6 mutation
GM10903Skin fibroblastsERCC8 mutation
GM01856Skin fibroblastsERCC6 mutation

Organoids derived from patient-derived induced pluripotent stem cells (iPSCs) are emerging as more physiologically relevant models, particularly for neurological studies.

Animal Models (PDX, GEMM, Induced)
  • • Genetically engineered mouse models (GEMMs): ERCC6 knockout mice recapitulate many CS features, including growth retardation and neurological defects.
  • • Induced models: UV-induced DNA damage in cell lines is used to study TCR.
  • • Patient-derived xenografts (PDX): Not commonly used for CS due to its non-cancerous nature, but xenografts of CS fibroblasts can be used for in vivo studies.
Gene-Edited Cell Models

CRISPR-Cas9 technology enables the creation of isogenic cell lines with precise mutations in ERCC6 or ERCC8. These models are invaluable for studying genotype-phenotype correlations and for drug screening. Examples include:

  • • ERCC6 knockout cell lines (e.g., in HEK293 or U2OS background) to study loss-of-function effects.
  • • ERCC8 knockout cell lines to model CSA deficiency.
  • • Knock-in lines with specific patient mutations (e.g., ERCC6 c.2281C>T) to study mutation-specific effects.

These sequence-verified models are commercially available from various sources, ensuring reproducibility and accelerating research.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
TP53 Knockout HCT 116 Cell Line EDC07854 Human 7157 Details Get a Quote
SMARCA1 Knockout Huh-7 Cell Line EDJ-KQ45 Human 6594 Details Get a Quote
CDKN1A Knockout HEK293 Cell Line EDJ-KQ129 Human 1026 Details Get a Quote
SQSTM1 Knockout HEK293 Cell Line EDC08337 Human 8878 Details Get a Quote
ATM Knockout HEK293T Cell Line EDJ-KQ211 Human 472 Details Get a Quote
SMURF1 Knockout HEK293 Cell Line EDJ-KQ405 Human 57154 Details Get a Quote
SMURF2 Knockout HEK293 Cell Line EDJ-KQ406 Human 64750 Details Get a Quote
EP300 Knockout HEK293 Cell Line EDJ-KQ460 Human 2033 Details Get a Quote
SIRT1 Knockout HEK293 Cell Line EDJ-KQ1128 Human 23411 Details Get a Quote
ITCH Knockout HEK293 Cell Line EDJ-KQ1468 Human 83737 Details Get a Quote
AGPAT2 Knockout HEK293 Cell Line EDJ-KQ1706 Human 10555 Details Get a Quote
LMNA Knockout HEK293 Cell Line EDJ-KQ1983 Human 4000 Details Get a Quote
BRIP1 Knockout HEK293 Cell Line EDC90251 Human 83990 Details Get a Quote
NEIL2 Knockout HEK293 Cell Line EDJ-KQ2139 Human 252969 Details Get a Quote
DDB2 Knockout HEK293 Cell Line EDJ-KQ2230 Human 1643 Details Get a Quote

Applications of Gene-Edited Cells

Functional Genomics

Knockout and knock-in lines are used to validate the role of ERCC6 and ERCC8 in DNA repair and transcription. For example, ERCC6 knockout cells show hypersensitivity to UV irradiation and defective RNA synthesis recovery, confirming the gene's function. These lines can be complemented with wild-type or mutant constructs to assess rescue.

Drug Screening and Resistance

Isogenic pairs (wild-type vs. knockout) are used in high-throughput screens to identify compounds that modulate TCR or compensate for CS defects. For instance, screening for drugs that enhance cell survival after UV damage may identify therapeutic candidates. Additionally, these models can be used to test drugs that target oxidative stress pathways.

Biomarker Discovery

CRISPR synthetic lethality screens can identify genes that are essential in CS-deficient cells but not in wild-type cells. Such genes may serve as biomarkers or therapeutic targets. For example, inhibition of PARP1 has been shown to be synthetically lethal in CSB-deficient cells, providing a potential targeted therapy approach.

Public Data Resources

DatabaseURLDescription
NCBI Genehttps://www.ncbi.nlm.nih.gov/gene/Gene information for ERCC6 and ERCC8
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Clinical significance of CS mutations
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression datasets for CS
DepMaphttps://depmap.org/portal/CRISPR screens and cell line data
COSMIChttps://cancer.sanger.ac.uk/cosmicSomatic mutations (though CS is not cancer)

Frequently Asked Research Questions

CSA (ERCC8) and CSB (ERCC6) are both involved in TCR, but CSB has additional roles in chromatin remodeling and mitochondrial function. Mutations in either gene cause similar clinical features, but CSB mutations are more common and often more severe.
Yes, in terms of cellular phenotypes such as UV sensitivity and transcription recovery, but they may not capture all clinical features. Isogenic lines with patient-specific mutations are more accurate.
Yes, several CRISPR-edited cell lines are available from commercial sources, including knockouts in common backgrounds like HEK293 and U2OS, as well as patient-derived lines.
UV survival assays, host cell reactivation assays, and RNA synthesis recovery assays are standard. Additionally, comet assays and γH2AX staining can assess DNA damage.
Many CROs offer custom gene-editing services, including CRISPR knockout and knock-in generation, with sequence verification. You can request a quote based on your specific mutation and cell type.

Key References and Database URLs

WHO https://www.who.int/
NCI https://www.cancer.gov/
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
GEO https://www.ncbi.nlm.nih.gov/geo/
DepMap https://depmap.org/portal/
COSMIC https://cancer.sanger.ac.uk/cosmic
UniProt https://www.uniprot.org/
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