Human homolog: TCEAL1 is located on the X chromosome (Xq22.2) and encodes a 157-amino-acid nuclear phosphoprotein with three functional domains:
Spider monkey homolog: While the exact sequence of Ateles geoffroyi TCEAL1 is not fully characterized, genomic studies suggest high conservation of transcription elongation factors across primates. The spider monkey genome (family Atelidae) exhibits extensive LINE-1 retrotransposon activity, which may influence chromosomal rearrangements near regulatory genes like TCEAL1 .
Recombinant production:
Recombinant TCEAL1 is typically expressed in bacterial systems (e.g., E. coli) or eukaryotic cell lines. The protein’s single coding exon and small size (~21 kDa) facilitate cloning and purification. Hypothetical production steps include:
Amplification of the TCEAL1 coding sequence from Ateles geoffroyi genomic DNA.
Cloning into expression vectors (e.g., pET or pGEX).
Human TCEAL1 is implicated in transcriptional regulation and neurodevelopment:
Modulates RNA polymerase II activity via its RS and ZnF-L domains .
Loss-of-function (LoF) variants cause X-linked neurodevelopmental disorders, including intellectual disability, hypotonia, and autistic-like behaviors .
Spider monkeys (Ateles) exhibit a highly rearranged genome with amplified LINE-1 retrotransposons, which may influence TCEAL1 expression or regulation .
Recombinant Ateles TCEAL1 could clarify evolutionary adaptations in transcriptional regulation among primates.
Human TCEAL1 LoF variants drive early-onset neurological disease traits (EONDTs) . Studying the spider monkey homolog may provide insights into interspecies differences in neurodevelopmental resilience.
No direct studies on recombinant Ateles geoffroyi TCEAL1 exist; inferences rely on human data and genomic annotations.
Functional assays (e.g., electrophoretic mobility shift assays) are needed to validate DNA/RNA-binding properties.
Sequence characterization: Full-length cloning and structural analysis of Ateles TCEAL1.
Expression profiling: Tissue-specific localization in spider monkey models.
Disease modeling: Compare neurodevelopmental impacts of TCEAL1 variants across primates.
Recombinant Ateles geoffroyi TCEAL1 can be successfully expressed in multiple expression systems, each with distinct advantages:
Yeast expression system: Currently, commercially available recombinant TCEAL1 from Ateles geoffroyi is produced in yeast expression systems with His-tag purification, achieving >90% purity . This system allows for proper protein folding and some post-translational modifications.
E. coli expression system: Can be utilized for cost-effective, high-yield production of TCEAL1, though potentially with reduced post-translational modifications .
Mammalian cell expression systems: Provide the most native-like post-translational modifications but at higher cost and potentially lower yield .
Baculovirus-infected insect cells: Offer a compromise between yield and post-translational modifications .
When selecting an expression system, researchers should consider:
Required protein yield
Importance of post-translational modifications
Experimental application (structural studies, functional assays, etc.)
Budget and time constraints
For high-quality protein-protein interaction studies, such as those investigating the USP11/USP7/TCEAL1 complex, purification from multiple systems may be beneficial to validate interactions in different contexts .
A multi-method approach is recommended for comprehensive validation of recombinant TCEAL1:
Primary verification methods:
SDS-PAGE analysis to confirm molecular weight (~21 kDa for the native protein, slightly higher with His-tag)
Western blot using anti-TCEAL1 and anti-His antibodies
Mass spectrometry for precise molecular weight determination and sequence verification
Size exclusion chromatography to assess purity and oligomeric state
Functional verification methods:
Protein-protein interaction assays with known binding partners (USP11, USP7, RNAPII)
DNA/RNA binding assays to confirm functionality
Transcriptional regulation assays in relevant cell systems
Quality benchmarks:
Purity should exceed 90% as determined by SDS-PAGE and densitometry
Protein should maintain stability during storage and experimental conditions
Biological activity should be comparable to endogenous protein
For the USP11/USP7/TCEAL1 complex formation studies, size exclusion chromatography has been successfully used to demonstrate that USP11-TCEAL1 and USP7 elute in different fractions when analyzed separately, but co-elute in earlier fractions when all three proteins are co-incubated, confirming complex formation .
The USP11/USP7/TCEAL1 trimeric complex plays a crucial role in stabilizing RNA polymerase II (RNAPII) during early transcription through several mechanisms:
Complex Formation and Structure:
TCEAL1 serves as a critical stabilizer in the formation of the USP11/USP7/TCEAL1 trimeric complex
The interaction between USP11 and TCEAL1 involves the UBL2+insert domain of USP11, as demonstrated through deletion mutant studies and confirmed by AlphaFold2 modeling
TCEAL1 enhances the association between USP11 and USP7, forming a stable ternary complex that can be isolated through size exclusion chromatography
Functional Impact on RNAPII:
Protection from degradation: The complex protects RPB8, an essential RNAPII subunit, from degradation
Competition with TFIIS: TCEAL1 antagonizes the binding of TFIIS to RNAPII and chromatin in a THS-dependent manner, effectively competing for the same binding sites
Prevention of transcript cleavage: By antagonizing TFIIS, the complex prevents excessive TFIIS-mediated transcript cleavage and RNAPII disassembly
Chromatin association: TCEAL1 is recruited to core promoters when transcription elongation is blocked and enhances the global chromatin association of RNAPII during early transcription
Experimental Evidence:
ChIP-seq experiments show TCEAL1 associates with chromatin surrounding transcription start sites of actively transcribed genes, with binding patterns that parallel those of RNAPII
Ectopic expression of wild-type TCEAL1 decreases TFIIS association with active promoters, while TCEAL1 3RA mutant enhances TFIIS chromatin association
Immunoprecipitation assays demonstrate that TCEAL1 expression reduces the association of TFIIS with RNAPII in a THS-dependent manner
This complex appears to be particularly important for maintaining transcriptional programs associated with TGF-beta signaling and mesenchymal/invasive phenotypes in neuroblastoma and other tumors .
Researchers investigating TCEAL1's competition with TFIIS for RNAPII binding have successfully employed multiple complementary approaches:
In vitro binding assays:
Recombinant protein expression and purification of TCEAL1 (wild-type and mutants), TFIIS, and RNAPII components
Surface plasmon resonance or isothermal titration calorimetry to determine binding affinities and competition kinetics
AlphaFold2 or other structural prediction tools to model protein interaction interfaces
Cellular and genomic approaches:
Chromatin Immunoprecipitation (ChIP) methods:
Protein interaction studies:
Functional transcription assays:
In vitro transcription assays with purified components
Reporter gene assays to assess transcriptional effects
RNA-seq following TCEAL1 manipulation to determine global transcriptional impacts
Mutational analysis approach:
The THS region mutations provide critical mechanistic insights:
Wild-type TCEAL1 decreases TFIIS association with active promoters
TCEAL1 3RA mutant (with altered THS domain) enhances TFIIS chromatin association
These opposing effects confirm direct competition between TCEAL1 and TFIIS for RNAPII binding
For optimal results, researchers should combine multiple approaches to build strong evidence for the competition model between TCEAL1 and TFIIS.
TCEAL1 loss-of-function (LoF) variants have been firmly established as causative for an X-linked dominant neurodevelopmental disorder with distinct clinical presentations:
Genetic Evidence:
De novo variants in TCEAL1 have been identified in multiple unrelated individuals through exome/genome sequencing and chromosomal microarray analysis
The spectrum of pathogenic variants includes hemizygous truncating alleles, missense alleles, full gene deletions, and frameshift variants
The identification of these variants in both males and females confirms an X-linked dominant inheritance pattern
Clinical Manifestations:
The TCEAL1-related disorder presents with:
Additional features in adults:
Hyperphagia
Obesity
Endocrine abnormalities (hyperinsulinemia, hyperandrogenemia)
Molecular Mechanisms:
X chromosome inactivation studies provide insights into pathophysiology
RNA-seq analyses help elucidate downstream effects on gene expression
Functional studies suggest TCEAL1 LoF disrupts transcriptional regulation through its impact on RNAPII stability and transcription elongation
The phenotype of individuals with isolated TCEAL1 variants overlaps significantly with the early-onset neurological disease trait (EONDT) observed in females with larger Xq22.2 deletions that include both TCEAL1 and other genes, suggesting TCEAL1 is a key driver of this phenotype .
A comprehensive experimental approach to assess functional impacts of TCEAL1 mutations should include:
1. Structural and biophysical characterization:
Recombinant protein expression of wild-type and mutant TCEAL1 (focusing on mutations in key functional domains)
Circular dichroism to assess secondary structure changes
Thermal shift assays to evaluate protein stability
Size exclusion chromatography to assess complex formation capabilities with USP11 and USP7
AlphaFold2 modeling to predict structural impacts of mutations
2. Cellular localization and interaction studies:
Fluorescently tagged wild-type and mutant TCEAL1 expression to assess nuclear localization
Co-immunoprecipitation assays to test interactions with known partners (USP11, USP7, RNAPII)
Proximity ligation assays to visualize interaction defects in situ
3. Transcriptional regulation assessment:
RNA-seq in cells expressing wild-type vs. mutant TCEAL1 to identify dysregulated genes
ChIP-seq for RNAPII to assess global impacts on polymerase stability
TFIIS competition assays using purified components or cellular systems
Reporter gene assays to quantify transcriptional activity
4. Neurobiological models:
Neural differentiation of iPSCs derived from patients or CRISPR-edited with specific mutations
Assessment of neuronal morphology, synaptogenesis, and electrophysiological properties
Transcriptomic analysis to identify neural-specific gene expression changes
Rescue experiments with wild-type TCEAL1 expression
5. Animal models:
Generation of knock-in mouse models with specific patient mutations
Behavioral testing focusing on learning, memory, and social interaction
Histological and molecular characterization of brain development
Experimental design considerations:
Include appropriate controls (wild-type, known benign variants, known pathogenic variants)
Prioritize mutations affecting different functional domains (HTH, ZnF-L, RS, THS)
Assess both loss-of-function and potential gain-of-function effects
Consider sex-specific effects given the X-linked inheritance pattern
This multi-faceted approach enables researchers to connect molecular dysfunction to the clinical phenotype and potentially identify therapeutic targets.
Investigating TCEAL1's role in transcriptional regulation requires integration of genomic, biochemical, and cellular approaches:
Genome-wide binding and regulatory analyses:
ChIP-seq and CUT&RUN:
Nascent RNA analysis:
PRO-seq or NET-seq to measure effects on transcription elongation rates
TT-seq to capture short-lived nascent RNAs
4sU-seq to evaluate newly synthesized transcripts following TCEAL1 manipulation
Chromatin structure assessment:
ATAC-seq to determine accessibility changes upon TCEAL1 depletion
Hi-C or related methods to evaluate effects on enhancer-promoter interactions
MNase-seq to assess nucleosome positioning changes
Biochemical mechanism studies:
In vitro transcription systems:
Reconstituted transcription assays with purified components
Pulse-chase experiments to measure elongation rates
Transcriptional pause site mapping with and without TCEAL1
Complex formation analysis:
Ubiquitination studies:
Cellular context studies:
Cell type-specific analyses:
Developmental timing:
Stage-specific analysis during neural differentiation
Assessment during critical periods of brain development in model organisms
Example experimental workflow:
Establish TCEAL1 knockdown/knockout and overexpression systems
Perform ChIP-seq for TCEAL1 and RNAPII under various conditions
Conduct nascent RNA analysis to identify direct transcriptional effects
Validate key target genes with reporter assays and in vitro transcription
Connect findings to neurological phenotypes through neural differentiation models
This comprehensive approach would provide mechanistic insights into how TCEAL1 regulates transcription and how its dysfunction leads to neurodevelopmental disorders.
For high-quality structural studies of recombinant Ateles geoffroyi TCEAL1, researchers should consider the following optimized protocol:
Expression system selection:
Yeast expression is recommended for structural studies due to proper folding and moderate yields
E. coli systems may be suitable for crystallography applications where post-translational modifications are less critical
Insect cell systems provide a good compromise for NMR or cryo-EM applications requiring higher purity and native folding
Expression optimization:
Construct design:
Expression conditions:
Temperature: Lower temperatures (16-20°C) often improve folding
Induction: Gentle induction methods for slower, more controlled expression
Media: Enriched media for higher yields; isotope-labeled media for NMR studies
Purification strategy:
Initial capture: Immobilized metal affinity chromatography (IMAC) using the His-tag
Intermediate purification: Ion exchange chromatography based on TCEAL1's theoretical pI
Polishing step: Size exclusion chromatography for final purity and buffer exchange
Quality control: SDS-PAGE and Western blot to confirm purity >90%
Buffer optimization for structural studies:
Crystallography: Include stability enhancers like low concentrations of glycerol (5-10%)
NMR studies: Lower salt concentrations, physiological pH, addition of reducing agents
Cryo-EM: Grid optimization with varied protein concentrations and buffer additives
Complex formation for interaction studies:
For studying the USP11/USP7/TCEAL1 complex:
Express and purify individual components separately
Form binary complexes (USP11-TCEAL1) first
Add USP7 to form the ternary complex
This approach has been successfully used to demonstrate that USP11, TCEAL1, and USP7 form a stable ternary complex with distinct elution properties compared to the individual components .
To comprehensively evaluate TCEAL1's impact on RNA polymerase II (RNAPII) stability, researchers should employ multi-level analysis strategies:
Biochemical stability assessment:
Protein turnover analysis:
Ubiquitination status:
Chromatin association and dynamics:
ChIP-based approaches:
Live-cell imaging:
FRAP (Fluorescence Recovery After Photobleaching) of fluorescently tagged RNAPII to measure dynamics at specific genomic loci
Single-molecule tracking of RNAPII in TCEAL1 wild-type versus knockout cells
Optogenetic recruitment/depletion of TCEAL1 to observe real-time effects on RNAPII
Transcriptional activity measures:
Experimental variables to consider:
Cell type context: TCEAL1 effects may vary between neuronal cells (relevant to disease) versus other cell types
Stress conditions: Assessment under normal conditions versus transcriptional stress (UV, heat shock, etc.)
TGF-beta signaling context: Given TCEAL1's association with TGF-beta-dependent gene expression programs
TFIIS levels: As TCEAL1 competes with TFIIS for RNAPII binding
Analytical approach for complex datasets:
Integrate ChIP-seq, RNA-seq, and protein stability data
Classify genes based on sensitivity to TCEAL1 depletion
Correlate with features like promoter structure, GC content, and TFIIS dependency
Build predictive models of TCEAL1's impact on transcription
By implementing this multi-faceted approach, researchers can obtain a comprehensive understanding of how TCEAL1 influences RNAPII stability across different cellular contexts and gene targets.
A comprehensive computational analysis of TCEAL1 evolution and variant impacts should integrate multiple bioinformatic approaches:
Evolutionary analysis:
Sequence conservation assessment:
Multiple sequence alignment of TCEAL1 orthologs across primates and other mammals
Special focus on conservation patterns in the three functional domains (HTH, ZnF-L, RS)
Analysis of the TFIIS-homology sequence (THS) conservation across species
Calculation of domain-specific conservation scores (e.g., ConSurf, Evolutionary Trace)
Phylogenetic analysis:
Construction of TCEAL1 family phylogenetic trees
Comparison with TCEA/TFIIS family evolution
Analysis of selection signatures using dN/dS ratios
Dating domain acquisition/divergence events
Structural prediction and analysis:
Structure prediction tools:
Protein-protein interaction modeling:
Variant impact prediction:
Pathogenicity prediction pipelines:
Functional domain mapping:
Mapping variants to functional domains and assessing clustered distribution
Correlation with evolutionary conservation scores
Analysis of variant effects on predicted protein stability
Transcriptional impact prediction:
Machine learning approaches to predict variant effects on gene expression
Integration with epigenomic datasets to assess context-specific impacts
Network analysis to predict downstream perturbations
Example computational workflow:
| Analysis Step | Tools/Methods | Expected Outcome |
|---|---|---|
| Ortholog identification | BLAST, OrthoFinder | Comprehensive set of TCEAL1 orthologs |
| Multiple sequence alignment | MUSCLE, MAFFT | Alignment highlighting conserved regions |
| Conservation scoring | ConSurf, Rate4Site | Domain-specific conservation profiles |
| Structure prediction | AlphaFold2, I-TASSER | 3D structural models of TCEAL1 |
| Complex modeling | HADDOCK, AlphaFold-Multimer | USP11/USP7/TCEAL1 and TCEAL1/RNAPII models |
| Variant effect prediction | CADD, PROVEAN, custom pipeline | Pathogenicity scores for variants |
| Network analysis | STRING, GeneMANIA | Functional interaction networks |
This integrated computational approach can guide experimental design by:
Highlighting the most conserved residues for targeted mutagenesis
Predicting structural impacts of disease-associated variants
Identifying critical interaction interfaces for detailed biochemical analysis
Providing evolutionary context for understanding TCEAL1's role in primate transcriptional regulation
TCEAL1's established role in neurodevelopmental disorders and transcription regulation makes it an excellent model for studying neurological disease mechanisms:
Neurological disease model systems:
Patient-derived cellular models:
Animal models:
Molecular mechanisms investigation:
Transcriptional dysregulation analysis:
TCEAL1-RNAPII interaction in neural context:
TFIIS competition effects:
Therapeutic exploration approaches:
Target gene modulation:
Identification of key dysregulated genes downstream of TCEAL1 loss
Testing of compounds that normalize expression of these targets
CRISPR activation/repression of identified targets for phenotypic rescue
Protein stability intervention:
Experimental framework linking TCEAL1 to neurological phenotypes:
This research approach connects TCEAL1's molecular mechanisms directly to the neurodevelopmental phenotypes observed in patients, potentially revealing therapeutic targets for TCEAL1-related disorders and other neurodevelopmental conditions with shared pathways.
The connection between TCEAL1 and TGF-beta signaling in tumor biology represents an important research avenue given TCEAL1's role in supporting mesenchymal and invasive phenotypes :
Experimental systems for studying TCEAL1-TGF-β interactions:
Cellular models:
In vivo models:
Orthotopic tumor models with TCEAL1 manipulation
Conditional TCEAL1 knockout in specific cancer types
TGF-β pathway reporter mice crossed with TCEAL1 models
Molecular analysis approaches:
Signaling pathway assessment:
Transcriptional regulation analysis:
Protein complex characterization:
Functional phenotypic assays:
EMT and invasion assessment:
Epithelial-mesenchymal transition marker analysis
Transwell migration and invasion assays
Live-cell imaging of migratory behaviors
Matrix degradation assays
Therapeutic response evaluation:
Sensitivity to TGF-β pathway inhibitors in TCEAL1 high/low contexts
Combination approaches targeting both TCEAL1 and TGF-β signaling
Assessment of resistance mechanisms
Data integration strategy:
This comprehensive approach would reveal whether TCEAL1 acts as a direct mediator of TGF-β signaling in cancer contexts, potentially identifying it as a therapeutic target for aggressive, invasive tumors with mesenchymal characteristics .
Beyond its established role in neurodevelopmental disorders , several promising research directions emerge for understanding TCEAL1's broader implications in human disease:
1. TCEAL1 in cancer biology:
Mesenchymal transformation: Further investigation of TCEAL1's role in TGF-beta-dependent gene expression programs characteristic of mesenchymal and invasive tumor phenotypes
Therapy resistance: Exploration of whether TCEAL1-mediated transcriptional regulation influences resistance to cancer therapies
Biomarker potential: Assessment of TCEAL1 expression as a prognostic or predictive biomarker in multiple cancer types
Potential therapeutic targeting: Investigation of whether disrupting the USP11/USP7/TCEAL1 complex could have anti-cancer effects
2. TCEAL1 in metabolic regulation:
Endocrine connections: Investigation of TCEAL1's potential role in endocrine pathways, suggested by the hyperinsulinemia, hyperandrogenemia, and polycystic ovarian syndrome observed in adult patients
Obesity mechanisms: Exploration of TCEAL1's potential involvement in obesity pathways, given the hyperphagia and obesity noted in adult patients
Mitochondrial function: Assessment of whether TCEAL1 regulates genes involved in mitochondrial function and energy metabolism
3. TCEAL1 in immune system function:
Infection susceptibility: Investigation of mechanisms underlying the recurrent infections observed in some TCEAL1-deficient patients
Inflammatory regulation: Exploration of TCEAL1's potential role in inflammatory gene transcription
Immune cell development: Assessment of TCEAL1 function in immune cell differentiation and function
4. TCEAL1 in developmental biology beyond the nervous system:
Gastrointestinal development: Investigation of mechanisms underlying gastrointestinal issues (reflux, constipation, dysmotility) in TCEAL1-deficient patients
Eye development: Exploration of TCEAL1's role in ocular development given the strabismus, refractive errors, and nystagmus phenotypes
Broader developmental impacts: Comprehensive phenotyping of model organisms with TCEAL1 manipulation
5. TCEAL1 in aging and neurodegeneration:
Age-related transcriptional changes: Investigation of whether TCEAL1 function changes during aging
Stress response: Exploration of TCEAL1's role in cellular responses to various stressors
Protein homeostasis: Assessment of connections between TCEAL1's role in the deubiquitination complex and protein quality control mechanisms
Methodological approaches for these new directions:
| Research Direction | Key Methodology | Expected Impact |
|---|---|---|
| Cancer biology | Single-cell multi-omics in tumor samples | Identification of TCEAL1-dependent cancer cell states |
| Metabolic regulation | Metabolic profiling in TCEAL1 models | Novel connections to metabolic diseases |
| Immune function | Immune cell phenotyping in TCEAL1-deficient models | Understanding of immunological phenotypes |
| Broader development | Tissue-specific conditional knockout models | Comprehensive developmental role beyond brain |
| Aging/neurodegeneration | Age-dependent transcriptome analysis | Potential connections to age-related diseases |
These research directions would significantly expand our understanding of TCEAL1 biology beyond its currently established roles and potentially reveal new therapeutic opportunities for multiple disease contexts.
Emerging technologies offer exciting opportunities to deepen our understanding of TCEAL1's role in transcriptional regulation:
1. Single-molecule and spatial technologies:
Live-cell single-molecule tracking: Visualizing individual TCEAL1 molecules interacting with RNAPII in real-time using techniques like SPT-PALM
Super-resolution microscopy: Nanoscale visualization of TCEAL1, USP11, USP7, RNAPII, and TFIIS co-localization patterns
Spatial transcriptomics: Mapping TCEAL1-dependent gene expression in specific cellular compartments and tissues
MERFISH or seqFISH: Single-cell spatial mapping of TCEAL1 target gene expression in brain tissue or organoids
2. Advanced genomic technologies:
CUT&Tag and CUT&RUN: Higher resolution mapping of TCEAL1 genomic binding sites compared to traditional ChIP-seq
HiChIP/PLAC-seq: Identifying TCEAL1-mediated chromatin interactions
TT-seq and SLAM-seq: Precise measurement of nascent transcription rates at TCEAL1 target genes
Long-read direct RNA sequencing: Detecting TCEAL1-dependent co-transcriptional RNA processing events
3. Protein-focused technologies:
Proximity labeling (BioID, APEX): Comprehensive mapping of TCEAL1 protein interaction networks in different cellular states
CRISPR-based protein tagging: Endogenous tagging of TCEAL1 and interaction partners for physiological studies
Cross-linking mass spectrometry: Detailed structural characterization of the USP11/USP7/TCEAL1 complex
Time-resolved proteomics: Tracking dynamic changes in TCEAL1 complexes upon stimulation
4. Functional genomic screening:
CRISPRi/CRISPRa screens: Systematic identification of genes that interact functionally with TCEAL1
Base editor screens: Precise mutagenesis of TCEAL1 to map functional residues
CRISPR activation domain tiling: Mapping functional domains through systematic fusion of activation domains
Synthetic genetic interaction mapping: Identifying genetic dependencies in TCEAL1-deficient contexts
5. Computational and AI-driven approaches:
Deep learning models: Prediction of TCEAL1 binding sites and transcriptional effects
AlphaFold multimer and RoseTTAFold: Advanced prediction of TCEAL1 complex structures
Molecular dynamics simulations: Modeling TCEAL1-RNAPII and TCEAL1-TFIIS competition dynamics
Network medicine approaches: Positioning TCEAL1 in broader disease networks
Implementation strategy for novel technologies:
By integrating these cutting-edge technologies, researchers can achieve unprecedented insights into how TCEAL1 regulates transcription at the molecular, cellular, and organismal levels, potentially revealing new therapeutic approaches for TCEAL1-related disorders and other conditions involving transcriptional dysregulation.