Smith-Magenis Syndrome (SMS) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Smith-Magenis Syndrome (SMS) is a rare neurodevelopmental disorder with an estimated prevalence of 1 in 15,000 to 1 in 25,000 live births (WHO, 2023). It is caused by a microdeletion on chromosome 17p11.2 or by pathogenic variants in the RAI1 gene. The syndrome is characterized by intellectual disability, sleep disturbances, behavioral problems (including self-hugging), and distinctive facial features. There is no cure, and management is symptomatic. The clinical impact is significant, with patients requiring lifelong support. Research into SMS is crucial for understanding the molecular mechanisms and developing targeted therapies.

Value as a Research Model

SMS is an ideal model for studying gene dosage effects, chromatin remodeling, and neurodevelopmental pathways. The RAI1 gene encodes a transcription factor involved in circadian rhythm regulation and neuronal differentiation. Public datasets, such as those from NCBI GEO, provide transcriptomic and epigenetic data from patient-derived cells. Open questions include the precise role of RAI1 in sleep-wake cycles and the development of targeted interventions. Gene-edited cell models are essential for functional validation and drug screening.

Core Molecular Pathogenesis

Major Carcinogenic Pathways
  • • Although SMS is not a cancer syndrome, the molecular pathways affected are relevant to cell growth and differentiation. Key pathways include:
  • • Circadian rhythm regulation: RAI1 interacts with CLOCK and BMAL1, influencing the expression of clock genes.
  • • Chromatin remodeling: RAI1 is involved in histone acetylation and methylation, affecting gene expression.
  • • Neuronal differentiation: RAI1 regulates genes involved in synaptic plasticity and neuronal maturation.
  • • Apoptosis and cell survival: Dysregulation of RAI1 may affect cell survival pathways, though not directly oncogenic.
High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
RAI1~90%Deletion or loss-of-functionHaploinsufficiency, reduced transcription factor activity
SREBF1~10%DeletionLipid metabolism dysregulation
DRG2~10%DeletionNeuronal development impairment
MYO15A~5%DeletionHearing loss
TOP3A~5%DeletionDNA replication stress

Data from ClinVar and DECIPHER.

Deregulated Signaling Networks
  • • RAI1 is a transcription factor that regulates multiple signaling networks:
  • • Circadian clock network: RAI1 activates CLOCK and BMAL1, leading to expression of PER and CRY genes.
  • • Neurotrophin signaling: RAI1 modulates BDNF and NGF pathways, affecting neuronal survival.
  • • Wnt signaling: RAI1 may influence beta-catenin activity, impacting cell proliferation.
  • • Dopaminergic signaling: RAI1 regulates dopamine receptor expression, relevant to behavioral symptoms.

Key nodes: CLOCK, BMAL1, PER1, CRY1, BDNF, DRD1.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
SH-SY5YHuman neuroblastomaRAI1 wild-type; can be edited
HEK293Human embryonic kidneyRAI1 wild-type; easy to edit
iPSC-derived neuronsPatient-derivedRAI1 deletion or mutation
Cerebral organoidsiPSC-derivedRAI1 haploinsufficiency

Organoids offer a 3D model of brain development and are valuable for studying neuronal migration and synaptic defects.

Animal Models (PDX, GEMM, Induced)
  • • RAI1 knockout mice: Show behavioral and sleep abnormalities similar to SMS.
  • • RAI1 haploinsufficient mice: Model the 17p11.2 deletion.
  • • Zebrafish with rai1 knockdown: Used for high-throughput drug screening.
  • • Patient-derived xenografts (PDX): Not common for SMS, but iPSC-derived organoids can be transplanted into mice for in vivo studies.
Gene-Edited Cell Models
  • • CRISPR-Cas9 technology enables the creation of isogenic cell lines with precise RAI1 mutations. For example:
  • • RAI1 knockout cell lines: Complete loss of function, useful for studying haploinsufficiency effects.
  • • RAI1 point mutation knock-in lines: Mimic specific pathogenic variants, such as p.Arg1085Ter.
  • • Reporter lines: RAI1 promoter-driven fluorescent reporters to monitor transcriptional activity.

These models are commercially available from various sources and are sequence-verified to ensure accuracy. They accelerate research by providing consistent, reproducible systems for mechanistic studies and drug screening.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
MFAP4 Knockout HEK293 Cell Line EDJ-KQ234 Human 4239 Details Get a Quote
GRIN2B Knockout HEK293 Cell Line EDJ-KQ668 Human 2904 Details Get a Quote
PCK1 Knockout HEK293 Cell Line EDJ-KQ841 Human 5105 Details Get a Quote
CLOCK Knockout HEK293 Cell Line EDJ-KQ990 Human 9575 Details Get a Quote
FLCN Knockout HEK293 Cell Line EDJ-KQ1150 Human 201163 Details Get a Quote
LLGL1 Knockout HEK293 Cell Line EDJ-KQ1383 Human 3996 Details Get a Quote
SREBF1 Knockout HEK293 Cell Line EDJ-KQ1869 Human 6720 Details Get a Quote
KCNJ12 Knockout HEK293 Cell Line EDJ-KQ1932 Human 3768 Details Get a Quote
TNFRSF13B Knockout HEK293 Cell Line EDJ-KQ1965 Human 23495 Details Get a Quote
PER2 Knockout HEK293 Cell Line EDJ-KQ2265 Human 8864 Details Get a Quote
SHMT1 Knockout HEK293 Cell Line EDJ-KQ2588 Human 6470 Details Get a Quote
CRY1 Knockout HEK293 Cell Line EDJ-KQ3045 Human 1407 Details Get a Quote
BMAL1 Knockout HEK293 Cell Line EDJ-KQ3060 Human 406 Details Get a Quote
DRG2 Knockout HEK293 Cell Line EDJ-KQ4477 Human 1819 Details Get a Quote
FLII Knockout HEK293 Cell Line EDJ-KQ4610 Human 2314 Details Get a Quote

Applications of Gene-Edited Cells

Functional Genomics
  • • Gene-edited cell lines allow researchers to validate the functional impact of RAI1 variants. For example:
  • • Knockout of RAI1 in SH-SY5Y cells leads to altered expression of circadian genes, confirming its role.
  • • Knock-in of a pathogenic mutation can be used to study the molecular consequences in a controlled background.
  • • CRISPR screens can identify genetic modifiers that rescue RAI1 deficiency.
Drug Screening and Resistance
  • • Isogenic pairs (wild-type vs. RAI1 knockout) are powerful for drug screening. For instance:
  • • Screening compounds that restore circadian rhythm in RAI1-deficient cells.
  • • Testing drugs that modulate histone acetylation to compensate for RAI1 loss.
  • • Resistance modeling: Not directly applicable, but can be adapted for neurodevelopmental phenotypes.
Biomarker Discovery

CRISPR synthetic lethality screens can identify genes that are essential in RAI1-deficient cells but not in wild-type cells. These genes may serve as biomarkers or therapeutic targets. For example, targeting the circadian regulator CK1δ has been shown to rescue sleep defects in SMS models.

Public Data Resources

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaNot directly relevant, but provides genomic data for comparison.
cBioPortalhttps://www.cbioportal.orgContains cancer genomics data; may include SMS-related genes.
DepMaphttps://depmap.orgProvides CRISPR screens and dependency data for cancer cell lines; useful for identifying vulnerabilities.
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression datasets from SMS patient samples and models.
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Curated information on RAI1 variants.
UniProthttps://www.uniprot.orgProtein information for RAI1.

Frequently Asked Research Questions

SH-SY5Y neuronal cells are commonly used due to their neuronal origin and ease of gene editing. iPSC-derived neurons are more physiologically relevant but more complex.
Use CRISPR-Cas9 with guide RNAs targeting exon 2 or 3 of RAI1. Validate by Sanger sequencing and Western blot.
Yes, several suppliers offer RAI1 knockout and knock-in cell lines, but we cannot name specific companies. They are sequence-verified and ready for experiments.
Luciferase reporters under circadian promoters (e.g., Bmal1-luc) can be used to measure rhythmicity. Alternatively, qPCR for clock genes.
Yes, cerebral organoids derived from SMS iPSCs can be used for medium-throughput screening, but they are more variable and require longer culture times.

Key References and Database URLs

WHO https://www.who.int
NCI https://www.cancer.gov
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/10743
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
DepMap https://depmap.org
GEO https://www.ncbi.nlm.nih.gov/geo/
UniProt https://www.uniprot.org/uniprot/Q9Y2S1
DECIPHER https://www.deciphergenomics.org
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