CSTF1 (Cleavage Stimulation Factor Subunit 1) is a 50 kDa protein encoded by the CSTF1 gene in humans. It is a critical component of the cleavage stimulation factor (CstF) complex, a heterotrimeric assembly comprising CSTF1, CSTF2 (64 kDa), and CSTF3 (77 kDa) subunits . This complex facilitates polyadenylation and 3'-end cleavage of pre-messenger RNA (pre-mRNA), ensuring proper maturation of mRNA for nuclear export and translation . CSTF1 is indispensable for stabilizing interactions between CstF and other polyadenylation factors, such as the cleavage and polyadenylation specificity factor (CPSF) .
CSTF1 ensures recognition of the G/U-rich downstream sequence element (DSE) during pre-mRNA processing. It collaborates with CPSF to position the poly(A) polymerase at the cleavage site, enabling synthesis of the poly(A) tail . This process is cell cycle-dependent, with CSTF1 levels rising during the G0-to-S phase transition .
CSTF1 interacts with multiple factors critical for mRNA processing:
The CSTF1 antibody (15537-1-AP, Proteintech) is widely used in research, with validated applications :
| Application | Recommended Dilution |
|---|---|
| Western Blot (WB) | 1:1000–1:4000 |
| Immunoprecipitation (IP) | 0.5–4.0 µg per 1–3 mg lysate |
| Immunofluorescence (IF) | 1:50–1:500 |
This antibody detects endogenous CSTF1 in human cell lines (e.g., HeLa, HEK-293T) and confirms its molecular weight of 50 kDa .
CSTF1 expression fluctuates with the cell cycle, peaking during S phase to meet increased transcriptional demands .
Cancer: CSTF1 interacts with BARD1, a tumor suppressor linked to breast and ovarian cancers, suggesting a role in genomic stability .
RNA Processing Defects: Dysregulation of CSTF1 may impair mRNA 3'-end formation, contributing to developmental disorders .
CSTF1 is a 50 kDa protein encoded by the CSTF1 gene located on chromosome 20 at position 20q13.2-q13.31. The protein contains transducin-like repeats similar to mammalian G protein beta subunits and functions as one of three subunits that form the cleavage stimulation factor complex .
At the cellular level, CSTF1 is predominantly nuclear and associates with the RNA processing machinery. When studying the subcellular localization of CSTF1, researchers typically employ immunofluorescence techniques using specific antibodies. The recommended protocol involves:
Fixation of cells with 4% paraformaldehyde for 10-15 minutes
Permeabilization with 0.1% Triton X-100
Blocking with 3% BSA
Incubation with CSTF1-specific antibodies at 1:50-1:500 dilution
When designing experiments to investigate CSTF1 function, researchers should consider a factorial design approach, particularly if multiple variables may affect CSTF1 activity. For instance, a 2^5-2 fractional factorial design can be employed when studying 5 factors but limited to 8 experimental runs .
The experimental factors might include:
Cell type or tissue context
Genetic manipulation (knockdown, overexpression)
Stress conditions (hypoxia, nutrient deprivation)
Treatment duration
Presence of interaction partners
Such experimental designs help identify main effects while minimizing the number of experiments. When analyzing results, researchers should be aware of confounding factors in fractional factorial designs, where main effects may be confounded with interaction effects .
For reliable detection of CSTF1 protein, researchers should employ multiple complementary techniques:
| Technique | Recommended Protocol | Applications | Limitations |
|---|---|---|---|
| Western Blot | 1:1000-1:4000 antibody dilution | Protein expression quantification | Semi-quantitative only |
| Immunoprecipitation | 0.5-4.0 μg antibody for 1.0-3.0 mg lysate | Protein-protein interactions | May miss transient interactions |
| Immunofluorescence | 1:50-1:500 antibody dilution | Subcellular localization | Fixation artifacts possible |
| ELISA | Validated antibody pairs | Quantitative detection | Limited spatial information |
When performing Western blot, researchers should verify results with positive controls including lysates from HeLa, HEK-293T, or A549 cells where CSTF1 expression has been consistently detected at approximately 50 kDa .
Multi-omics integration provides powerful insights into CSTF1 function beyond single-platform analyses. Two recommended methods for multi-omics integration in CSTF1 research are DIABLO and NOLAS approaches .
DIABLO (Data Integration Analysis for Biomarker discovery using Latent cOmponents) employs sparse Generalized Canonical Correlation Analysis (sGCCA) to identify correlated variables across multiple omics datasets. This method identifies latent components that capture shared signals across datasets while preserving the unique structure of each omics layer .
Implementation steps for multi-omics integration in CSTF1 research:
Data collection across platforms (RNA-Seq, miRNA-Seq, proteomics)
Filtering samples to ensure consistency across platforms
Feature selection within each omics layer
Integration through latent variable extraction
Model validation and biological interpretation
When applying these approaches to CSTF1 research, investigators should ensure proper filtering of samples across different omics layers to maintain consistency. For example, in multi-cancer analyses, careful filtering may reduce sample numbers but maintain data integrity, as demonstrated in the table below adapted from similar multi-omics research:
| Omics Layer | Before Filtering (samples × features) | After Filtering (samples × features) |
|---|---|---|
| RNA-Seq | 878 × 20502 | 407 × 20502 |
| miRNA-Seq | 849 × 1046 | 407 × 1046 |
| Proteomics | 937 × 226 | 407 × 226 |
This approach ensures that the same biological samples are represented across all analytical platforms, strengthening the validity of multi-omics integration findings .
CSTF1 functions within a complex network of protein-protein interactions critical for RNA processing. The most well-documented interaction is between CSTF1 and BARD1 (BRCA1-associated RING domain protein 1) . Additionally, CSTF1 interacts with the carboxy-terminal domain (CTD) of RNA polymerase II largest subunit, linking transcription and RNA processing .
To validate these interactions experimentally, researchers should employ multiple complementary approaches:
Co-immunoprecipitation using CSTF1-specific antibodies followed by immunoblotting for interaction partners
Proximity ligation assays to visualize interactions in situ
Yeast two-hybrid or mammalian two-hybrid systems for screening potential novel interactors
FRET or BRET approaches to demonstrate direct physical interactions in living cells
Mass spectrometry analysis of immunoprecipitated complexes for unbiased interaction mapping
When conducting co-immunoprecipitation experiments, researchers should use 0.5-4.0 μg of CSTF1 antibody for 1.0-3.0 mg of total protein lysate to achieve optimal results .
When encountering contradictory results in CSTF1 research, investigators should systematically evaluate potential sources of discrepancy through a structured approach:
Experimental design evaluation: Assess whether different experimental designs might explain contradictory results. For example, in factorial designs, different confounding patterns can lead to apparently contradictory outcomes . Examine whether studies used different designs (e.g., D=AB and E=AC versus D=BC and E=ABC) which can produce different results without actually contradicting each other.
Antibody validation: Verify antibody specificity through multiple validation approaches, including:
Western blotting against recombinant CSTF1
Testing in CSTF1 knockout/knockdown systems
Peptide competition assays
Cross-validation with multiple antibodies targeting different epitopes
Cell type and context dependencies: CSTF1 function may vary across cell types or physiological conditions. Document exact experimental conditions including:
Cell types and passage numbers
Culture conditions and media compositions
Confluence levels at time of analysis
Presence of stress factors or treatments
Technical replicates versus biological replicates: Ensure sufficient replication at both technical and biological levels to distinguish random variation from true biological differences.
CSTF1 has been implicated in various cancer contexts, particularly through its interaction with BARD1, which connects it to BRCA1-related pathways . When investigating CSTF1 in cancer research, several methodological approaches are recommended:
Differential expression analysis: Compare CSTF1 expression levels between tumor and matched normal tissues using quantitative PCR, Western blotting, and immunohistochemistry.
Multi-cancer analysis: Evaluate CSTF1 expression patterns across cancer types using public datasets such as The Cancer Genome Atlas (TCGA), considering:
Expression levels across cancer subtypes
Correlation with clinical outcomes
Association with molecular subtypes
Functional studies: Employ gene knockdown or overexpression approaches to assess the impact of CSTF1 modulation on:
Cell proliferation and apoptosis
Migration and invasion
Therapy resistance
RNA processing patterns
Multi-omics integration: Apply integrated analysis of genomic, transcriptomic, and proteomic data using methods like DIABLO to identify CSTF1-associated pathways and potential biomarkers in cancer contexts .
When designing gene expression studies focused on CSTF1, researchers should consider:
Comprehensive transcript analysis: Since CSTF1 has several transcript variants with different 5' UTRs but encoding the same protein , researchers should employ methods that can distinguish between these variants, such as:
RNA-seq with sufficient read depth
Isoform-specific PCR primers
Northern blotting with specific probes
Reference gene selection: When quantifying CSTF1 expression by qRT-PCR, careful selection of reference genes is critical. Validate multiple reference genes for stability across experimental conditions before normalization.
Primer design considerations:
Target conserved regions for general CSTF1 detection
Design isoform-specific primers spanning unique exon junctions
Include positive and negative controls to validate primer specificity
Experimental controls:
Single-cell technologies offer unprecedented opportunities to investigate CSTF1 function with cellular resolution. Researchers should consider the following approaches:
Single-cell RNA sequencing (scRNA-seq): Analyze CSTF1 expression heterogeneity across individual cells within tissues or cell populations, revealing:
Cell type-specific expression patterns
Correlation with cell states or differentiation stages
Co-expression networks at single-cell resolution
Single-cell proteomics: Although technically challenging, emerging single-cell proteomics approaches can reveal CSTF1 protein levels and post-translational modifications at cellular resolution.
Spatial transcriptomics: Combine single-cell resolution with spatial information to understand CSTF1 expression in tissue context.
CRISPR-based lineage tracing: Track the consequences of CSTF1 perturbation through cellular lineages and developmental processes.
Implementation of these approaches will require careful optimization of experimental protocols and sophisticated computational analysis pipelines to extract meaningful biological insights from complex datasets.
Post-translational modifications (PTMs) likely regulate CSTF1 function, but this area remains understudied. Researchers should consider:
Mass spectrometry-based PTM mapping: Employ enrichment strategies for specific PTMs (phosphorylation, ubiquitination, SUMOylation) followed by high-resolution mass spectrometry.
Site-specific mutant generation: Based on predicted or identified PTM sites, generate site-specific mutants (e.g., phospho-mimetic or phospho-deficient) to assess functional consequences.
Proximity labeling approaches: Use BioID or APEX2 fusions with CSTF1 to identify proteins in close proximity that might mediate PTMs.
PTM-specific antibodies: Develop antibodies against specific CSTF1 PTMs for direct detection in various experimental contexts.
These approaches will provide insights into how CSTF1 activity is dynamically regulated in different cellular contexts and how this regulation might be altered in disease states.
CSTF1 is similar to mammalian G protein beta subunits and contains transducin-like repeats . These repeats are involved in protein-protein interactions, which are critical for the function of CSTF1 in the cleavage and polyadenylation complex. The protein is composed of several transcript variants with different 5’ untranslated regions (UTRs), but they all encode the same protein .
The recombinant form of CSTF1 is produced using Escherichia coli (E. coli) as the expression system . This recombinant protein is often tagged with a His-tag at the C-terminus to facilitate purification and detection . The recombinant CSTF1 protein is typically used in research applications, such as Western Blot (WB) or imaging assays, rather than functional studies due to its denatured state .
Recombinant CSTF1 is highly purified, with a purity greater than 90% as determined by SDS-PAGE . It is supplied in a liquid formulation containing 20 mM Tris-HCl buffer (pH 8.0), 20% glycerol, 0.1 M NaCl, and 2M urea . For storage, it is recommended to keep the protein at 4°C for short-term use and at -20°C for long-term storage, avoiding freeze-thaw cycles to maintain its stability .
CSTF1 plays a vital role in the regulation of gene expression by ensuring the proper processing of pre-mRNAs. Its involvement in the cleavage and polyadenylation of pre-mRNAs makes it a significant target for research in understanding gene expression mechanisms and potential therapeutic interventions.
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