Recombinant Thalassiosira pseudonana Cytochrome c biogenesis protein ccs1, commonly referred to as ccs1, is a protein of significant interest in the field of marine biology and biotechnology. This protein is involved in the biogenesis of cytochrome c, an essential component of the electron transport chain in mitochondria and chloroplasts, playing a crucial role in cellular respiration and photosynthesis.
The ccs1 protein plays a pivotal role in the maturation of cytochrome c, which is crucial for electron transfer processes in both mitochondria and chloroplasts. This protein aids in the correct folding and assembly of cytochrome c, ensuring efficient energy production through oxidative phosphorylation and photosynthesis.
Recent studies have highlighted various aspects of the ccs1 protein:
Biochemical Functions: The ccs1 protein has multiple biochemical roles, including interactions with other proteins involved in electron transport and energy metabolism.
Pathway Involvement: It participates in several metabolic pathways related to energy production and electron transport, indicating its importance in cellular respiration.
Interactions: Research indicates that ccs1 interacts with various proteins through methods such as yeast two-hybrid assays and co-immunoprecipitation techniques, emphasizing its role within complex cellular networks.
| Feature | Details |
|---|---|
| Gene Name | ccs1 |
| Species | Thalassiosira pseudonana |
| UniProt ID | A0T0W1 |
| Protein Length | 421 amino acids |
| Source | E. coli |
| Purity | >90% (SDS-PAGE) |
| Storage Conditions | -20°C/-80°C; avoid freeze-thaw cycles |
Essential for the biogenesis of c-type cytochromes (cytochrome c6 and cytochrome f). Its function is crucial in the heme attachment step of their biosynthesis.
Cytochrome c biogenesis protein ccs1 is a critical protein found in the marine diatom Thalassiosira pseudonana (also known as Cyclotella nana). This protein plays an essential role in the biogenesis of cytochrome c, which is a component of the electron transport chain in cellular respiration. The protein has a UniProt accession number of A0T0W1 and contains 421 amino acids in its full-length form .
The significance of this protein extends beyond basic cellular function, as it contributes to the diatom's ability to adapt to various environmental conditions. Understanding ccs1 is crucial for comprehending the molecular mechanisms that allow T. pseudonana to thrive in diverse marine environments.
The complete amino acid sequence of T. pseudonana cytochrome c biogenesis protein ccs1 is:
MKQNIFKSIADLRFAIFILLVIAAFSVIGTVIEQDQSIETYKLNYPLTNRVFGFLSWDIILKFGLDHVYKTWWFITLILLFGISLLTCTLLQQFPSLKIARRCQFFRTTQQFCRLNISTNLKHLSFSQLLFKIKENNYSIFQQKNIIYCYKGLIGRIAPIIVHFSMIIILIGAIIGSLSGFKAQEIVPKTETFHIQNVLNNGQFTFIPKVSVRINDFWITYTKQTTITQFYSDLSILNIDGNEIDRQTIFVNSPAKYNGIDYYQTDWNIIGLRLRMQDSSIFQYPFINLPNTQEKLWLTWISTNQQLNDGLTILIDNLQGYCSVYNKVGKFIGNLELNESLKIENPITLIDILSSTGLQIKADPGILLIYLGFLFLMISTLISYITYSQIWIVQDKNKIFIGGNTTRATFEFELEFLKLIK
This sequence information is critical for researchers designing experiments involving protein expression, structure-function studies, or antibody production. Researchers should note that the protein expression region spans positions 1-421, encompassing the full-length protein.
For optimal stability of recombinant T. pseudonana cytochrome c biogenesis protein ccs1, adhere to these storage guidelines:
Store at -20°C for regular use
For extended storage, maintain at -20°C or -80°C
The protein is supplied in a Tris-based buffer with 50% glycerol, optimized specifically for this protein
Avoid repeated freeze-thaw cycles as they can significantly compromise protein integrity
These storage recommendations are essential for maintaining protein structure and functionality. Researchers should create multiple small aliquots upon receipt to minimize the number of freeze-thaw cycles and extend the protein's usable lifespan.
When investigating the function of T. pseudonana cytochrome c biogenesis protein ccs1, researchers should consider multiple complementary experimental approaches:
Protein-Protein Interaction Studies: Based on knowledge from other organisms, ccs1 likely interacts with other proteins in cytochrome c biogenesis pathways. Co-immunoprecipitation or yeast two-hybrid assays can identify interaction partners.
Gene Expression Analysis: qPCR or RNA-Seq can determine how ccs1 expression changes under different environmental conditions, particularly those that affect mitochondrial function.
Localization Studies: Though not directly confirmed in the available data, ccs1 proteins in other organisms are often located in the mitochondria or intermembrane space. Immunofluorescence or subcellular fractionation can verify the location in T. pseudonana.
Environmental Response Experiments: Similar to the multiple stressor experiments conducted on T. pseudonana CCMP 1335, researchers can test how different environmental factors (temperature, light, pH) affect ccs1 expression and function .
These approaches should be integrated to develop a comprehensive understanding of ccs1's function in T. pseudonana cellular physiology.
When designing experiments with recombinant T. pseudonana ccs1, include these essential controls:
Negative Controls:
Buffer-only samples to establish baseline measurements
Proteins of similar size/structure but different function
Heat-denatured ccs1 to confirm activity measurements are specific to properly folded protein
Positive Controls:
Known functional homologs of ccs1 from related species if available
Previously validated batch of T. pseudonana ccs1 (if applicable)
Expression System Controls:
Samples from expression system without the ccs1 gene to identify any background effects
Validation Controls:
These controls help ensure experimental validity and distinguish specific effects of ccs1 from artifacts or background signals.
Cytochrome c, which requires ccs1 for proper biogenesis, plays a dual role in cellular physiology:
Electron transport in respiratory chains
Apoptotic signaling under stress conditions
In S. cerevisiae, a different protein also named Ccs1 (copper chaperone for superoxide dismutase 1) provides "an important cellular function against oxidative stress" and is present in both the cytosol and mitochondrial intermembrane space . While this is not the same protein as T. pseudonana cytochrome c biogenesis protein ccs1, it suggests connections between mitochondrial proteins with similar naming conventions and oxidative stress responses.
Researchers investigating T. pseudonana ccs1's role in oxidative stress should design experiments that:
Compare ccs1 expression levels under normal and oxidative stress conditions
Assess the impact of altered ccs1 expression on cellular responses to oxidative stress
Evaluate how environmental factors that induce oxidative stress (e.g., high light intensity, temperature extremes) affect ccs1 function
To evaluate the functional activity of recombinant T. pseudonana cytochrome c biogenesis protein ccs1, researchers should employ multiple complementary approaches:
In vitro Cytochrome c Assembly Assays:
Monitor the incorporation of heme into apocytochrome c in the presence of recombinant ccs1
Measure spectroscopic changes associated with heme attachment to cytochrome c
Binding Assays:
Assess ccs1 binding to cytochrome c precursors using surface plasmon resonance (SPR)
Conduct pull-down assays to identify protein-protein interactions
Enzymatic Activity Measurements:
If ccs1 has thiol oxidoreductase activity (like some cytochrome c biogenesis proteins), use thiol-disulfide exchange assays
Monitor changes in redox state of cysteines in substrate proteins
Complementation Studies:
Test whether T. pseudonana ccs1 can rescue phenotypes in ccs1-deficient cells from other organisms
Structural Integrity Assessment:
Use circular dichroism spectroscopy to confirm proper protein folding
Employ limited proteolysis to evaluate structural stability
These methods provide a comprehensive evaluation of different aspects of ccs1 functionality, from substrate binding to catalytic activity.
When designing multiple stressor experiments to investigate T. pseudonana processes involving ccs1, researchers should follow this framework based on established experimental designs:
Parameter Selection:
Culture Conditions:
Experimental Design:
Employ a multifactorial design testing combinations of temperature and light intensity
Include appropriate replicates for statistical validity
Consider conducting experiments in series for logistical management
Measurements:
Cell abundance and size
Growth rate (μ)
Photophysiological parameters
Molecular analyses focused on ccs1 expression levels and activity
Monitor pH and dissolved inorganic carbon
This experimental design approach, modeled after successful T. pseudonana studies, provides a robust framework for investigating ccs1-related processes under multiple environmental stressors.
To effectively study the relationship between environmental factors and ccs1 in T. pseudonana, researchers should employ a multi-analytical approach:
Molecular Expression Analysis:
RT-qPCR to quantify ccs1 mRNA expression levels under different environmental conditions
Western blotting with specific antibodies to measure protein abundance
RNA-Seq for whole-transcriptome analysis to identify co-regulated genes
Physiological Measurements:
Environmental Parameters Monitoring:
Statistical Analysis:
Multivariate analysis to determine interactions between environmental factors
Response surface methodology to identify optimal conditions
Principal component analysis to reduce dimensionality of complex datasets
By integrating these analytical approaches, researchers can establish comprehensive correlations between environmental conditions and ccs1 expression/function in T. pseudonana, providing insights into the molecular mechanisms underlying this diatom's environmental adaptability.
When encountering contradictory results in ccs1 studies across different experimental conditions, researchers should implement this systematic interpretation framework:
Evaluate Experimental Variables:
Assess differences in culture conditions, particularly medium composition. For example, studies with T. pseudonana showed different results between artificial seawater and artificial seawater supplemented with 5% sterilized seawater .
Compare temperature and light regimes, as T. pseudonana responds differently across temperatures (15°C-26°C) and light intensities (30-265 μmol photons · m^-2 · s^-1) .
Consider Strain Variations:
Examine Methodological Differences:
Statistical Analysis:
Perform meta-analysis when possible to identify trends across studies.
Apply appropriate statistical tests to determine if differences are statistically significant.
Biological Context:
Consider whether contradictory results reflect genuine biological adaptability rather than experimental artifacts.
Evaluate whether different cellular compartments were examined (e.g., cytosolic vs. mitochondrial ccs1).
This systematic approach helps distinguish between meaningful biological variations and methodological discrepancies when interpreting seemingly contradictory results in ccs1 research.
For effective comparative genomic analysis of T. pseudonana ccs1, researchers should utilize these specialized bioinformatic tools:
Sequence Analysis Tools:
BLAST and HMMER for identifying ccs1 homologs in other species
Clustal Omega or MUSCLE for multiple sequence alignments
MEGA or RAxML for phylogenetic tree construction to trace evolutionary relationships
InterProScan for domain prediction and functional annotation
Structural Prediction Tools:
AlphaFold or RoseTTAFold for protein structure prediction
PyMOL or UCSF Chimera for structural visualization and comparison
DISOPRED or IUPred for predicting intrinsically disordered regions
PredictProtein for secondary structure and functional site prediction
Genomic Context Analysis:
SynMap (CoGe) for synteny analysis to examine gene neighborhood conservation
IGV or JBrowse for visualizing genomic regions
OrthoFinder for comprehensive ortholog identification
Expression Data Analysis:
GEO or ArrayExpress for mining existing expression datasets
DESeq2 or edgeR for differential expression analysis
WGCNA for co-expression network analysis
Integrated Analysis Platforms:
CyVerse for data management and integrated analysis
Galaxy for workflow creation and reproducible analysis
KBase for systems biology approaches
These tools provide complementary approaches for comprehensive comparative genomic analysis of T. pseudonana ccs1, enabling researchers to gain insights into evolutionary conservation, structural features, and functional relationships across species.