TIMM9 is a mitochondrial intermembrane chaperone that plays a critical role in the import and insertion of multi-pass transmembrane proteins into the mitochondrial inner membrane. It is also involved in the transfer of beta-barrel precursors from the Translocase of the Outer Membrane (TOM) complex to the Sorting and Assembly Machinery (SAM) complex of the outer membrane. TIMM9 acts as a chaperone-like protein, preventing aggregation of hydrophobic precursors and guiding them through the mitochondrial intermembrane space.
TIMM9 is a molecular chaperone located in the mitochondrial intermembrane space (IMS) that plays an essential role in the transport of proteins destined for the mitochondrial inner membrane . It functions as part of a heterohexamer complex with TIMM10, forming an arrangement of 3 TIMM9 and 3 TIMM10 molecules . This complex mediates the substrate specificity of the TIM22 mitochondrial import pathway.
Recent research has identified TIMM9 as significantly associated with:
TIMM9 is particularly important for researchers investigating:
Mitochondrial protein import mechanisms
Cancer biomarkers and prognostic indicators
Metabolic alterations in cancer cells
Cell cycle progression
Oxidative phosphorylation
TIMM9 antibodies have been validated for multiple applications, with specific optimization parameters depending on the antibody clone. Based on current commercial offerings, these antibodies are suitable for:
For optimal results, researchers should perform titration experiments to determine the ideal concentration for their specific sample type and experimental conditions .
The TIMM9 ELISA kits available commercially offer excellent sensitivity with detection ranges typically from 46.88-3000 pg/mL and minimum detectable doses (MDD) of approximately 23.4 pg/mL . This sensitivity is determined by adding two standard deviations to the mean optical density value of twenty zero standard replicates and calculating the corresponding concentration.
For quantitative analysis:
ELISA provides the most precise quantification with intra-assay CV<10% and inter-assay CV<15%
Western blotting is semi-quantitative and useful for relative expression comparisons
IHC/ICC provides spatial information but is less quantitative
Recovery rates in different matrices:
TIMM9 antibodies vary in their specificity depending on the immunogen used and purification methods. Most commercial antibodies:
Show minimal cross-reactivity with other proteins
For example, ABIN6265577 antibody specificity details:
Targets the C-terminal region of human TIMM9
Is purified by peptide affinity chromatography using SulfoLink TMCoupling Resin
Has been validated to detect endogenous levels of total TIMM9
For validation, researchers often confirm specificity through:
Western blot analysis showing a single band at the expected molecular weight (~10 kDa)
Positive and negative control tissues
Knockdown or knockout validation
When optimizing TIMM9 antibodies for cancer tissue microarray (TMA) analysis, researchers should consider:
Preanalytical Variables:
Fixation method and duration (typically 4-24 hours in 10% neutral buffered formalin)
Antigen retrieval method (heat-induced epitope retrieval with citrate buffer pH 6.0 or EDTA buffer pH 9.0)
Blocking protocol (3-5% BSA or normal serum from the same species as secondary antibody)
Analytical Variables:
Primary antibody dilution (start with manufacturer's recommendation and titrate)
Incubation time and temperature (overnight at 4°C often yields best signal-to-noise ratio)
Detection system (polymer-based systems often provide superior sensitivity)
Post-analytical Considerations:
Scoring system design (H-score, Allred score, or percentage of positive cells)
Digital image analysis parameters
Statistical analysis methodology
For prognostic studies, TIMM9 expression has been shown to correlate with patient survival in multiple cancer types . When designing TMAs, ensure sufficient representation of different tumor grades, stages, and normal adjacent tissue controls.
For successful co-immunoprecipitation (Co-IP) of TIMM9 with its interacting partners (particularly TIMM10 and other components of the mitochondrial import machinery), consider this optimized protocol:
Cell Lysis Buffer Composition:
20 mM Tris-HCl (pH 7.5)
150 mM NaCl
1 mM EDTA
1% Triton X-100 or 1% Digitonin (preserves membrane protein interactions better)
10% glycerol
Protease inhibitor cocktail
Phosphatase inhibitors (if studying phosphorylation)
Step-by-Step Protocol:
Prepare mitochondrial fraction using differential centrifugation or commercial isolation kit
Lyse mitochondria in buffer (mild conditions to preserve protein-protein interactions)
Pre-clear lysate with Protein A/G beads (1 hour at 4°C)
Incubate pre-cleared lysate with TIMM9 antibody (5 μg per 1 mg protein) overnight at 4°C
Add Protein A/G beads and incubate for 2-4 hours at 4°C
Wash 4-5 times with washing buffer (lysis buffer with reduced detergent)
Elute with sample buffer or gentle elution buffer
Analyze by western blotting
Important Controls:
IgG isotype control
Input sample (5-10% of lysate used for IP)
Reverse IP (using antibody against suspected interacting partner)
The most reliable interacting partner identified through molecular simulations is ITFG1, which shows promising structural complementarity with TIMM9 . The TIMM9-TIMM10 heterohexamer complex is also well-established and can serve as a positive control.
TIMM9 antibodies can be powerful tools for investigating mitochondrial dysfunction in cancer through several methodological approaches:
Immunohistochemistry Profiling:
Compare TIMM9 expression across cancer types and correlate with clinical outcomes
Use dual staining with other mitochondrial markers (TOMM20, COX4) to assess mitochondrial integrity
Analyze subcellular localization patterns in different tumor stages
Functional Analysis:
Isolate mitochondria from cancer cell lines with varying TIMM9 expression levels
Assess import efficiency of reporter proteins using in vitro import assays
Correlate TIMM9 expression with:
Oxygen consumption rate (OCR)
Extracellular acidification rate (ECAR)
ATP production
Reactive oxygen species (ROS) levels
Integration with Multi-Omics Data:
Research has revealed that TIMM9 is positively related to:
Cell cycle progression
Mitochondrial and ribosomal function
Oxidative phosphorylation
TCA cycle activity
These associations can be further investigated using TIMM9 antibodies in combination with other molecular techniques to build a comprehensive picture of mitochondrial dysfunction mechanisms in cancer.
When using antibodies to detect TIMM9 mutations or variants, especially the S49L variant associated with poor cancer prognosis , researchers should consider:
Epitope Mapping:
Determine if the antibody epitope overlaps with the mutation site
For S49L detection, ensure the antibody recognizes the region containing amino acid 49
Consider using multiple antibodies targeting different epitopes
Mutation-Specific Antibody Approaches:
Use antibodies specifically raised against the mutant peptide sequence
Perform competition assays with wild-type and mutant peptides
Validate specificity using cells expressing wild-type vs. mutant TIMM9
Alternative Detection Methods:
Combine antibody-based detection with genetic analysis
Use proximity ligation assay (PLA) to detect specific protein-protein interactions affected by mutations
Consider mass spectrometry-based approaches for definitive variant identification
Controls and Validation:
Include known positive samples for the variant of interest
Use CRISPR/Cas9-engineered cell lines expressing specific TIMM9 variants
Validate findings using orthogonal methods (e.g., sequencing)
The S49L variant specifically has been associated with poor prognosis in cancer patients, making its accurate detection particularly relevant for translational research .
Integrating TIMM9 antibody-based methods with other techniques provides powerful insights into cancer metabolism:
Metabolic Flux Analysis + Immunoprecipitation:
Perform stable isotope labeling (13C-glucose, 13C-glutamine)
Immunoprecipitate TIMM9 complexes from labeled cells
Analyze associated proteins and metabolites using mass spectrometry
Correlate findings with metabolic pathway activities
Spatial Metabolomics + Immunofluorescence:
Co-localize TIMM9 with metabolic intermediates using IF and imaging mass spectrometry
Map spatial distribution of TIMM9 in relation to hypoxic regions (using HIF1α staining)
Correlate TIMM9 expression with metabolic gradients in tumor sections
Regulatory Network Analysis:
Recent research shows TIMM9 can be regulated by cancer-associated signaling pathways, such as the mTOR pathway . This connection can be investigated by:
Treating cells with mTOR inhibitors (rapamycin, torin)
Monitoring changes in TIMM9 expression/localization using antibodies
Assessing downstream metabolic effects
| Technique | TIMM9 Antibody Application | Output Measures |
|---|---|---|
| Seahorse XF Analysis | Validate TIMM9 levels by WB | OCR, ECAR, ATP production |
| CRISPR-Cas9 KO/KD | Confirm knockout by WB/ICC | Metabolic pathway shifts |
| ChIP-seq | Determine transcription factors binding TIMM9 promoter | Regulatory mechanisms |
| Metabolomics | Correlate TIMM9 levels with metabolite profiles | Pathway alterations |
This integrated approach allows researchers to establish causal relationships between TIMM9 expression and metabolic reprogramming in cancer cells.
When encountering weak or absent signals in TIMM9 immunoblotting, consider the following systematic troubleshooting approach:
Sample Preparation Issues:
TIMM9 is a small protein (~10 kDa) - use appropriate gel percentage (15-20%)
Ensure complete denaturation (heat samples at 95°C for 5 minutes)
Add protease inhibitors during lysis to prevent degradation
Consider enriching mitochondrial fraction to increase signal
Transfer Problems:
Use PVDF membrane (0.2 μm pore size) for small proteins
Consider semi-dry transfer with specialized buffers for small proteins
Reduce transfer time or voltage to prevent small proteins from passing through membrane
Detection Optimization:
Increase primary antibody concentration (try 1:250 - 1:500)
Extend primary antibody incubation (overnight at 4°C)
Use a more sensitive detection system (ECL Prime or Femto)
Optimize blocking conditions (try 5% BSA instead of milk for phospho-specific antibodies)
Control Experiments:
Include positive control (tissue/cell line known to express TIMM9)
Verify protein loading with housekeeping proteins
Test multiple TIMM9 antibodies targeting different epitopes
Testing a panel of cell lines with known TIMM9 expression levels can help establish the detection sensitivity of your antibody and protocol.
For reliable quantification of TIMM9 expression in tissue samples, consider these best practices:
Immunohistochemistry Quantification:
Use digital pathology software for objective measurement
Develop a scoring system accounting for both staining intensity and percentage of positive cells
Consider H-score method: ∑(i × Pi) where i = intensity (0-3) and Pi = percentage of positive cells
Include internal controls in each batch for normalization
Western Blot Quantification:
Use housekeeping proteins appropriate for your tissue type
Consider stain-free technology for total protein normalization
Ensure you're in the linear dynamic range of detection
Use biological and technical replicates (minimum n=3)
ELISA-Based Quantification:
TIMM9 ELISA kits offer quantitative detection with:
Detection range: 46.88-3000 pg/mL
Minimum detectable dose: ~23.4 pg/mL
Intra-plate precision: CV<10%
For tissue homogenates, the linearity of dilution ranges from 80-105% across different dilution factors (1:2, 1:4, 1:8, 1:16) , indicating reliable quantification across a range of concentrations.
Thorough validation of TIMM9 antibody specificity is essential for reliable research findings. Consider this comprehensive validation strategy:
Genetic Approaches:
siRNA/shRNA knockdown of TIMM9 followed by western blot
CRISPR/Cas9 knockout of TIMM9 as negative control
Overexpression of tagged TIMM9 as positive control
Biochemical Validation:
Peptide competition assay with immunizing peptide
Test multiple antibodies targeting different epitopes
Immunoprecipitation followed by mass spectrometry
Control Samples:
Test tissues/cells known to express high vs. low levels of TIMM9
Include species controls to confirm cross-reactivity claims
Analyze subcellular localization (should be primarily mitochondrial)
Application-Specific Validation:
For IHC/ICC:
Include appropriate blocking controls
Test on known positive and negative tissues
Perform subcellular localization studies to confirm mitochondrial pattern
For WB:
Confirm single band at expected molecular weight (~10 kDa)
Verify signal reduction upon TIMM9 knockdown
Test antibody performance in different lysis buffers
While TIMM9 has been extensively studied in cancer, its role in neurodegenerative diseases is an emerging area of research. TIMM9 antibodies can be valuable tools in this field:
Tissue-Based Studies:
Compare TIMM9 expression and localization in post-mortem brain tissues from patients with neurodegenerative diseases versus healthy controls
Assess co-localization with markers of mitochondrial dysfunction or proteinopathy
Evaluate regional variation in expression across brain structures affected in different neurodegenerative conditions
Cellular Models:
Use patient-derived iPSCs differentiated into neurons to study TIMM9 dynamics
Apply TIMM9 antibodies to monitor mitochondrial import efficiency in cellular models of neurodegeneration
Investigate interactions between TIMM9 and disease-associated proteins
Mechanistic Investigations:
TIMM9 is interconnected with disorders involving TIMM10 since they jointly facilitate mitochondrial function, indicating that disruptions in either protein can lead to related pathophysiological conditions where energy-metabolizing tissues like those in the brain and muscles are most affected .
Research protocols should include:
Assessment of mitochondrial morphology and distribution
Measurement of mitochondrial membrane potential
Analysis of protein import efficiency
Evaluation of ROS production and oxidative stress markers
Combining TIMM9 antibody-based techniques with functional measures of mitochondrial health can provide insights into the role of mitochondrial protein import in neurodegenerative processes.
Recent research has established TIMM9 as a significant prognostic biomarker across multiple cancer types:
Research Findings:
Overexpression of TIMM9 is significantly associated with tumorigenesis, pathological stage progression, and metastasis
Missense mutations (particularly the S49L variant) and copy number variations in TIMM9 correlate with poor cancer prognosis
TIMM9 is positively related to cell cycle progression, mitochondrial function, oxidative phosphorylation, and TCA cycle activity
Methodological Approaches for Prognostic Studies:
Perform survival analysis based on TIMM9 expression levels
Use multivariate Cox regression to adjust for confounding factors
Develop risk prediction models incorporating TIMM9 expression
Validate findings across independent patient cohorts
Technical Considerations for Biomarker Development:
Standardize antibody-based detection methods for clinical application
Establish expression cutoff values for prognostic stratification
Combine with other biomarkers for improved predictive accuracy
Consider both protein expression and genetic alterations
The implementation of TIMM9 as a prognostic biomarker requires careful standardization of immunohistochemical protocols and scoring systems to ensure reproducibility across laboratories and clinical settings.
TIMM9 antibodies can be instrumental in elucidating the complex relationship between mitochondrial function and cancer metabolism:
Research Strategies:
Metabolic Phenotyping:
Correlate TIMM9 expression levels with metabolic profiles of cancer cells
Compare oxidative phosphorylation vs. glycolytic capacity in cells with varying TIMM9 expression
Investigate the impact of TIMM9 modulation on metabolic flexibility
Protein Import Analysis:
Use TIMM9 antibodies to assess the efficiency of mitochondrial protein import in cancer cells
Investigate how alterations in import machinery affect mitochondrial function and metabolic pathways
Correlate import efficiency with metabolic phenotypes
Stress Response Studies:
Examine how TIMM9 expression changes under metabolic stress conditions
Investigate the role of TIMM9 in mediating adaptation to nutrient deprivation or hypoxia
Assess the impact of TIMM9 on cancer cell survival under metabolic stress
Experimental Approaches:
Immunoprecipitation of TIMM9 complexes followed by proteomic analysis
ChIP-seq to identify transcription factors regulating TIMM9 expression
Live cell imaging with tagged TIMM9 to monitor dynamics during metabolic shifts
Research has revealed that TIMM9 could be regulated by cancer-associated signaling pathways, such as the mTOR pathway , providing a direct link between oncogenic signaling and mitochondrial function that warrants further investigation.
Developing a multiplex immunofluorescence protocol incorporating TIMM9 antibodies requires careful optimization:
Protocol Development:
Antibody Panel Design:
Select antibodies with non-overlapping species or isotypes
Consider the following panel for tumor microenvironment analysis:
TIMM9 (rabbit polyclonal)
Mitochondrial marker (mouse anti-TOMM20)
Cell type-specific markers (CD68 for macrophages, CD3 for T cells)
Metabolic markers (MCT1, GLUT1)
Proliferation marker (Ki67)
Sequential Staining Approach:
Image Acquisition and Analysis:
Use multispectral imaging systems for spectral unmixing
Employ automated cell segmentation algorithms
Perform spatial analysis to identify cell-cell interactions and niches
Quantify TIMM9 expression in relation to other markers and spatial location
Quality Control Measures:
Single-color controls for spectral unmixing
Fluorescence minus one (FMO) controls
Cross-reactivity testing between antibodies
Batch correction methods for multi-slide analysis
This approach allows researchers to investigate the heterogeneity of TIMM9 expression within tumor microenvironments and correlate with functional and metabolic characteristics of different cell populations.
Using TIMM9 antibodies for flow cytometry requires special considerations due to its mitochondrial localization:
Sample Preparation:
Cell Permeabilization Options:
For whole cell analysis: Fix with 4% PFA followed by permeabilization with 0.1% Triton X-100
For isolated mitochondria: Gentle fixation with 0.5% PFA
Commercial kits optimized for intracellular/mitochondrial proteins
Antibody Selection and Validation:
Choose antibodies validated for flow cytometry
Test fluorophore-conjugated antibodies or use secondary antibodies with bright fluorophores
Consider the size of fluorophore (smaller dyes may penetrate mitochondria better)
Controls and Gating Strategy:
Use isotype controls at matching concentrations
Include TIMM9 knockdown cells as negative controls
Co-stain with mitochondrial markers (MitoTracker) to confirm localization
Gate on intact cells/mitochondria based on scatter properties
Specialized Applications:
| Application | Methodology | Relevant Parameters |
|---|---|---|
| Mitochondrial Import | Dual staining with import substrates | Colocalization coefficient |
| Import Kinetics | Time-course analysis after induction | TIMM9 expression vs. time |
| Stress Response | Treatment with CCCP, antimycin A | Changes in TIMM9 levels |
| Cell Cycle Analysis | Co-staining with DNA content markers | TIMM9 expression by cycle phase |
Flow cytometric analysis can provide quantitative data on TIMM9 expression at the single-cell level, enabling researchers to investigate heterogeneity in expression and correlate with functional parameters.
Combining CRISPR-Cas9 gene editing with TIMM9 antibody applications creates powerful approaches for functional studies:
Experimental Design Strategies:
TIMM9 Knockout/Knockdown Validation:
Generate TIMM9 knockout cell lines using CRISPR-Cas9
Validate knockout efficiency using TIMM9 antibodies in western blot, ICC, or flow cytometry
Create control cell lines with non-targeting gRNAs
Structure-Function Analysis:
Introduce specific mutations (e.g., S49L variant) using CRISPR-Cas9 base editing
Use TIMM9 antibodies to assess protein expression, localization, and complex formation
Compare wildtype vs. mutant phenotypes in functional assays
Tagged Endogenous TIMM9:
Insert epitope tags (FLAG, HA) or fluorescent proteins (GFP) at the TIMM9 locus
Use both tag-specific antibodies and TIMM9 antibodies to validate expression
Enable live cell imaging of TIMM9 dynamics
Functional Readouts:
Mitochondrial respiration (Seahorse analyzer)
Protein import efficiency (in vitro import assays)
Cell proliferation and viability
Metabolic profiling
Tumor formation in xenograft models
This integrated approach allows for precise manipulation of TIMM9 and subsequent comprehensive analysis of functional consequences, providing insights into the mechanistic role of TIMM9 in mitochondrial function and cancer biology.
TIMM9 antibodies can provide valuable insights into the role of mitochondrial protein import in aging processes:
Research Applications:
Age-Related Changes in Mitochondrial Import:
Compare TIMM9 expression and localization in tissues from young vs. aged organisms
Assess changes in TIMM9-containing complexes during aging
Investigate post-translational modifications of TIMM9 across the lifespan
Intervention Studies:
Monitor TIMM9 expression in response to caloric restriction or exercise
Evaluate the impact of mitochondrial-targeted antioxidants on TIMM9 function
Assess TIMM9 changes in models of accelerated aging
Single-Cell Analysis in Aging Tissues:
Apply TIMM9 antibodies in single-cell proteomics approaches
Investigate cell-type specific alterations in TIMM9 expression
Correlate with markers of cellular senescence
Methodological Approaches:
Longitudinal studies using tissue samples from different age groups
In vitro aging models (replicative senescence, stress-induced premature senescence)
Comparative analysis across tissues with different metabolic demands
Understanding how TIMM9 and the mitochondrial import machinery change during aging could provide insights into interventions that might preserve mitochondrial function and delay age-related decline.
TIMM9 antibodies are finding novel applications in precision medicine approaches, particularly in cancer:
Emerging Applications:
Companion Diagnostics:
Development of standardized IHC assays for TIMM9 expression
Potential stratification of patients for mitochondrial-targeted therapies
Correlation of TIMM9 expression with treatment response
Liquid Biopsy Approaches:
Detection of TIMM9 protein in circulating tumor cells
Measurement of TIMM9 in extracellular vesicles
Correlation with disease progression and treatment response
Combination Biomarker Panels:
Integration of TIMM9 with other mitochondrial markers
Development of risk assessment algorithms
Predictive models for metastasis and recurrence
Technical Innovations:
Automated image analysis systems for standardized TIMM9 quantification
Microfluidic devices for point-of-care TIMM9 detection
AI-based interpretation of TIMM9 expression patterns