At1g80270 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Components: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At1g80270 antibody; F5I6.2 antibody; Pentatricopeptide repeat-containing protein At1g80270 antibody; mitochondrial antibody
Target Names
At1g80270
Uniprot No.

Target Background

Database Links

KEGG: ath:AT1G80270

STRING: 3702.AT1G80270.1

UniGene: At.72982

Protein Families
PPR family, P subfamily
Subcellular Location
Mitochondrion.

Q&A

What is the At1g80270 protein and why is it important for plant research?

At1g80270 encodes a mitochondrion-localized P-type PPR protein consisting of 596 amino acids, known as PPR596. Unlike most PPR genes that are intronless, PPR596 contains three introns—two in the coding region and one in the 5′-untranslated region. The protein contains eight P-type PPR repeats according to PPRCODE prediction software and has a 61 amino acid mitochondrial targeting sequence at its N-terminal region . PPR596 is particularly important for plant research because it plays a crucial role in mitochondrial function, specifically in the splicing of nad2 introns and the assembly of respiratory Complex I. Mutations in this gene lead to significant plant growth retardation, delayed flowering, and abnormal seed development, highlighting its essential role in plant development and metabolism .

What types of At1g80270 antibodies are currently available for research?

Currently, there are several antibody options targeting different regions of the At1g80270 protein. Three main types are commercially available: (1) X-Q9C977-N, a combination of mouse monoclonal antibodies targeting the N-terminus sequence; (2) X-Q9C977-C, mouse monoclonal antibodies against the C-terminus sequence; and (3) X-Q9C977-M antibodies (details incomplete in the sources). Each antibody combination contains multiple monoclonal antibodies targeting synthetic peptide antigens from the corresponding protein region . These antibodies have been tested for ELISA applications with titers around 10,000, corresponding to approximately 1 ng detection sensitivity on Western blots . Researchers should select the appropriate antibody based on their specific experimental requirements and the protein domain of interest.

How can I confirm the specificity of At1g80270 antibodies in my experiments?

To confirm antibody specificity, a multi-tiered validation approach is recommended. First, researchers should use wild-type plants alongside ppr596 mutants (such as the SAIL_367_A06 line available from the Arabidopsis Biological Resource Center) as positive and negative controls in Western blot analyses . The absence of signal in the mutant samples where the protein is not expressed would confirm specificity. Second, complementation lines expressing the At1g80270 gene under a 35S promoter with a flag-tag should show restored protein expression, providing another validation point . Third, perform immunoprecipitation followed by mass spectrometry to confirm that the antibody is pulling down the correct protein. Additionally, pre-absorption tests where the antibody is pre-incubated with the immunizing peptide should eliminate specific binding in Western blots. For cross-reactivity assessment, test the antibody on related PPR proteins to ensure it doesn't recognize other family members with similar sequence motifs.

What are the recommended protocols for protein extraction when working with At1g80270 antibodies?

For optimal results with At1g80270 antibodies, the protein extraction protocol should be tailored to preserve mitochondrial proteins. Begin by isolating mitochondria from plant tissue grown in appropriate conditions (dark-grown seedlings have been used successfully in studies of PPR596) . Homogenize plant tissue in extraction buffer containing 0.3 M sucrose, 50 mM HEPES (pH 7.5), 2 mM EDTA, 1 mM DTT, and protease inhibitor cocktail. Centrifuge at 3,000× g for 10 minutes to remove cellular debris, followed by centrifugation of the supernatant at 20,000× g for 20 minutes to pellet the mitochondria. For membrane protein solubilization, resuspend the mitochondrial fraction in buffer containing n-dodecyl-β-D-maltoside (β-DM) as used in complex I studies . When running samples on SDS-PAGE, include reducing agents and heat samples at 70°C rather than boiling to prevent protein aggregation. For Blue Native PAGE applications, solubilize mitochondrial membranes with β-DM before separation to maintain protein complex integrity, especially when studying Complex I assembly .

What are the optimal storage conditions for At1g80270 antibodies?

To maintain optimal activity of At1g80270 antibodies, proper storage is critical. Store concentrated antibody stocks at -80°C in small aliquots to avoid repeated freeze-thaw cycles, which can degrade antibody quality. Working dilutions can be stored at 4°C with preservatives (0.02% sodium azide) for 1-2 weeks. For long-term storage, antibodies should be supplemented with a cryoprotectant such as glycerol (final concentration 50%) and kept at -20°C. Avoid exposing antibodies to direct light or storing them in polystyrene containers that may release chemicals affecting antibody stability. Monitor antibody performance regularly using positive controls and reference samples to detect any potential loss of activity. If decreased sensitivity is observed, utilizing newer aliquots or adjusting concentrations may be necessary. For optimal performance in immunodetection, the monoclonal antibody combinations should be used at the dilutions determined by the ELISA titer information (approximately 1:10,000 for antibodies with ELISA titers of 10,000) .

How can At1g80270 antibodies be used to investigate Complex I assembly in mitochondria?

At1g80270 antibodies can be leveraged to investigate Complex I assembly through several sophisticated approaches. First, perform Blue Native Polyacrylamide Gel Electrophoresis (BN-PAGE) of mitochondrial extracts followed by immunoblotting with both At1g80270 antibodies and antibodies against established Complex I subunits such as carbonic anhydrase-like subunit 2 (CA2) . This approach allows visualization of Complex I assembly intermediates and can reveal at which stage PPR596 influences assembly. Second, conduct co-immunoprecipitation using At1g80270 antibodies followed by mass spectrometry to identify protein interactions during Complex I biogenesis. Third, implement a time-course analysis after inducible complementation in ppr596 mutants to track the restoration of Complex I assembly, using At1g80270 antibodies to monitor protein expression alongside Complex I activity assays . For in-gel activity assays, separate mitochondrial complexes via BN-PAGE and incubate the gel with NADH and nitrotetrazolium blue to visualize Complex I activity directly . Compare wild-type, mutant, and complementation lines to establish clear causative relationships between PPR596 function and Complex I assembly. This multi-faceted approach provides mechanistic insights into how PPR596 influences nad2 mRNA processing and subsequent Complex I biogenesis.

What are the challenges in detecting low abundance of At1g80270 protein in different plant tissues?

Detecting low-abundance At1g80270 protein presents several challenges requiring specialized approaches. The protein's tissue-specific expression patterns and potential developmental regulation necessitate optimized extraction methods for different tissues. For enhanced sensitivity, implement signal amplification techniques such as tyramide signal amplification (TSA) or quantum dot-conjugated secondary antibodies. Consider enriching for mitochondrial fractions through differential centrifugation to concentrate the target protein before immunodetection . When working with recalcitrant tissues, modify extraction buffers with additional detergents like CHAPS or Triton X-100 to improve protein solubilization. For quantitative analyses of low-abundance proteins, more sensitive detection methods such as Single Molecule Array (SIMOA) technology or proximity ligation assays may be considered. Additionally, the presence of numerous PPR proteins with similar sequence motifs can lead to cross-reactivity issues, requiring careful antibody selection and validation. When comparing protein levels across tissues or developmental stages, loading controls specific to mitochondrial proteins (such as porin or ATP synthase subunits) should be used rather than total cellular proteins to accurately normalize mitochondrial protein content.

How can At1g80270 antibodies be used in conjunction with RNA immunoprecipitation to study RNA processing?

RNA immunoprecipitation (RIP) coupled with At1g80270 antibodies offers powerful insights into the direct RNA targets of PPR596 in mitochondrial RNA processing. To implement this approach, first crosslink protein-RNA complexes in vivo using formaldehyde or UV irradiation to preserve native interactions. Extract mitochondria using established protocols and lyse them in non-denaturing conditions to maintain protein-RNA complexes . Use At1g80270 antibodies conjugated to magnetic beads for immunoprecipitation, followed by extensive washing to remove non-specific interactions. Elute and reverse crosslink the RNA-protein complexes, then isolate the RNA for downstream analysis. For target identification, perform RT-PCR targeting predicted RNA substrates, particularly nad2 introns, or conduct RNA sequencing for unbiased discovery of all bound RNAs . Compare results from wild-type plants versus complementation lines expressing tagged versions of PPR596 (immunoprecipitated with commercial tag antibodies) to validate findings. To identify precise RNA binding sites, implement CLIP-seq (Crosslinking and Immunoprecipitation followed by sequencing) which provides single-nucleotide resolution of protein-RNA interaction sites. This methodology can reveal how PPR596 recognizes specific nad2 intron sequences and facilitates splicing, providing mechanistic insights into its role in mitochondrial RNA processing.

What are the current limitations in using computational approaches to predict epitopes for generating improved At1g80270 antibodies?

Current computational approaches for epitope prediction in At1g80270 antibody development face several limitations. First, while algorithms like PPRCODE can predict PPR repeats, they don't accurately capture the three-dimensional conformational epitopes that are essential for antibody recognition, especially in the complex helical fold structure of PPR proteins . Second, available structural data for plant PPR proteins remains limited, with most computational models relying on homology to better-characterized PPR10 proteins rather than direct structural determination of At1g80270 . Third, current algorithms poorly account for post-translational modifications that may occur in planta but not in recombinant expression systems, potentially leading to antibodies that fail to recognize the native protein. Fourth, the highly repetitive nature of PPR proteins complicates epitope uniqueness assessment, increasing the risk of cross-reactivity with other PPR family members that share similar repetitive motifs. Recent advances in generative AI for de novo antibody design show promise but have not been specifically applied to plant mitochondrial proteins . To overcome these limitations, researchers should consider integrating experimental epitope mapping techniques like hydrogen-deuterium exchange mass spectrometry with computational predictions, and validate candidate epitopes through comparative analysis across PPR family members to ensure specificity before antibody production.

How can At1g80270 antibodies be used in super-resolution microscopy to understand the spatial organization of PPR596 within mitochondria?

Super-resolution microscopy combined with At1g80270 antibodies enables unprecedented insights into the spatial organization of PPR596 within mitochondria. To implement this approach, first optimize sample preparation by fixing plant cells with paraformaldehyde and permeabilizing membranes with detergents that preserve mitochondrial ultrastructure. Use fluorophore-conjugated secondary antibodies with properties suitable for the specific super-resolution technique (e.g., photoswitchable fluorophores for STORM or PALM). For multi-color imaging, combine At1g80270 antibodies with antibodies against mitochondrial markers like Complex I subunits (CA2) or other mitoribosome components to establish spatial relationships . Implement techniques such as Structured Illumination Microscopy (SIM) for 2x resolution improvement or Stimulated Emission Depletion (STED) microscopy for even higher resolution. For single-molecule localization microscopy (SMLM), dSTORM (direct Stochastic Optical Reconstruction Microscopy) can achieve ~20 nm resolution, revealing potential clustering of PPR596 at specific mitochondrial sites. Analyze the spatial distribution patterns using quantitative co-localization algorithms and nearest neighbor analysis to determine if PPR596 forms discrete foci corresponding to RNA processing centers within mitochondria. To investigate dynamic associations, consider implementing live-cell super-resolution techniques with genetically encoded tags in complementation lines. This approach can reveal whether PPR596 localization changes in response to metabolic stress or during different developmental stages, providing insights into the temporal regulation of mitochondrial RNA processing machinery.

What controls should be included when using At1g80270 antibodies in immunoblotting experiments?

Rigorous control implementation is essential for reliable immunoblotting results with At1g80270 antibodies. Primary controls should include: (1) Positive control using wild-type Arabidopsis tissue known to express At1g80270; (2) Negative control using ppr596 mutant tissue (SAIL_367_A06 line) where the protein is not expressed ; (3) Complementation line control expressing the At1g80270 gene under a 35S promoter, which should restore protein expression; (4) Peptide competition control where the antibody is pre-incubated with the immunizing peptide to confirm binding specificity; and (5) Secondary antibody-only control to identify non-specific background. For quantitative western blots, include a standard curve using recombinant PPR596 protein at known concentrations. When investigating tissue-specific expression, include appropriate loading controls specific to mitochondrial proteins such as porin or ATP synthase subunits rather than total cellular proteins like actin . For post-translational modification studies, include samples treated with appropriate enzymes (phosphatases, deubiquitinases) to confirm the nature of observed mobility shifts. When using different antibody combinations (N-terminal, C-terminal), compare staining patterns to confirm they recognize the same protein species and to identify potential processing events. These comprehensive controls ensure reliable interpretation of immunoblotting results and help distinguish true signals from artifacts.

How should researchers optimize immunofluorescence protocols for At1g80270 localization studies?

Optimizing immunofluorescence protocols for At1g80270 localization requires several specialized considerations. Begin with fixation optimization, testing both chemical (paraformaldehyde/glutaraldehyde) and physical (freeze substitution) methods to determine which best preserves both antigenicity and mitochondrial ultrastructure. For Arabidopsis tissues, a 4% paraformaldehyde fixation for 2 hours followed by permeabilization with 0.1% Triton X-100 provides a starting point . Antigen retrieval methods may be necessary; test heat-mediated (citrate buffer, pH 6.0), enzymatic (proteinase K treatment), or chemical (SDS treatment) approaches if initial staining is weak. For mitochondrial visualization, co-stain with established markers such as MitoTracker or antibodies against mitochondrial proteins like alternative oxidase or cytochrome c. When selecting secondary antibodies, choose those with fluorophores spectrally separated from mitochondrial autofluorescence (avoiding green fluorophores if possible). Implement a titration of both primary (1:100 to 1:1000) and secondary (1:200 to 1:2000) antibodies to determine optimal concentrations that maximize signal-to-noise ratio. Include a pre-adsorption control by pre-incubating the antibody with the immunizing peptide to confirm staining specificity. For improved resolution, consider optical clearing techniques such as ClearSee for plant tissues followed by confocal or super-resolution microscopy. To distinguish between mitochondrial subcompartments, conduct co-localization studies with markers for the mitochondrial matrix, inner membrane, and intermembrane space to precisely localize At1g80270 within the organelle architecture.

What approaches are recommended for quantifying At1g80270 protein levels in different genetic backgrounds?

Accurate quantification of At1g80270 protein levels across genetic backgrounds requires multifaceted approaches to overcome challenges related to its mitochondrial localization and potentially variable expression. Begin with quantitative Western blotting using infrared fluorescence detection systems (e.g., LI-COR) which provide a wider linear dynamic range than chemiluminescence. Generate a calibration curve using purified recombinant PPR596 protein to establish absolute quantification parameters . Normalize protein loading using mitochondria-specific markers rather than total cellular proteins to account for potential variations in mitochondrial content between genetic backgrounds. For higher sensitivity and precision, consider implementing targeted proteomics approaches such as Selected Reaction Monitoring (SRM) or Parallel Reaction Monitoring (PRM) mass spectrometry using synthetic isotope-labeled peptides derived from unique regions of At1g80270 as internal standards . When comparing wild-type, mutant, and complementation lines, extract proteins from tissues at precisely matched developmental stages since PPR protein expression can vary during development. To account for post-translational modifications that may affect antibody recognition, consider using multiple antibodies targeting different regions of the protein (available X-Q9C977-N and X-Q9C977-C combinations) . For high-throughput analysis across multiple genetic backgrounds, multiplexed immunoassay platforms like Luminex can be adapted for plant proteins, allowing simultaneous quantification of At1g80270 and other relevant proteins in multiple samples.

How can researchers address non-specific binding issues with At1g80270 antibodies?

Non-specific binding with At1g80270 antibodies can be systematically addressed through multiple optimization strategies. First, increase blocking stringency by testing different blocking agents (5% BSA, 5% non-fat milk, commercial blocking reagents) and extending blocking time to 2 hours at room temperature. Second, optimize antibody concentration through careful titration experiments; start with higher dilutions (1:10,000) based on ELISA titers and adjust as needed . Third, modify washing protocols by increasing the number of washes (5-6 times for 10 minutes each) and adding low concentrations of detergents (0.1-0.5% Tween-20) to remove weakly bound antibodies. Fourth, pre-adsorb antibodies with proteins from the ppr596 mutant to remove antibodies that bind to proteins other than the target. Fifth, for Western blotting, consider using PVDF membranes with appropriate pore size (0.45 μm) as used in published protocols . Sixth, implement gradient SDS-PAGE gels to better separate proteins of similar molecular weight that might cross-react. For particularly problematic samples, consider using monovalent Fab fragments instead of complete IgG molecules to reduce non-specific Fc-mediated interactions. If non-specific binding persists, conduct peptide competition assays with the immunizing peptides to distinguish specific from non-specific signals. When working with the available antibody combinations, remember they contain multiple monoclonal antibodies that can be deconvoluted if necessary through epitope determination services to isolate the most specific ones for your application .

What strategies can help resolve discrepancies between protein levels detected by different At1g80270 antibodies?

Discrepancies between protein levels detected by different At1g80270 antibodies (such as X-Q9C977-N vs. X-Q9C977-C) require systematic investigation . First, perform epitope mapping to determine the precise binding sites of each antibody combination, which can reveal if post-translational modifications or protein processing affect epitope accessibility. Second, assess the influence of protein conformation by comparing native vs. denatured detection methods, as some epitopes may be masked in certain conformational states, particularly in the complex helical structure of PPR proteins . Third, conduct parallel validation using orthogonal techniques such as mass spectrometry-based quantification or RNA-level measurements to determine which antibody more accurately reflects true protein abundance. Fourth, evaluate potential protein degradation or processing by performing time-course experiments with protease inhibitors to determine if proteolytic cleavage creates fragments recognized differently by N-terminal versus C-terminal antibodies. Fifth, test for potential isoform specificity, as the At1g80270 gene contains multiple introns and may produce variant transcripts . For comprehensive analysis, implement a multiplexed detection approach using differentially labeled secondary antibodies against the various primary antibodies on the same membrane. When significant discrepancies persist, consider generating new antibodies against conserved epitopes identified through structural analysis and sequence alignment. Document the conditions under which each antibody performs optimally to create a standardized protocol that minimizes variability between experiments.

How should researchers interpret At1g80270 antibody results in the context of mitochondrial dysfunction?

Interpreting At1g80270 antibody results in the context of mitochondrial dysfunction requires careful consideration of several factors. First, establish whether observed changes in PPR596 levels are a cause or consequence of mitochondrial dysfunction by comparing the timing of PPR596 alterations relative to other mitochondrial phenotypes. Second, correlate PPR596 protein levels with functional readouts such as nad2 intron splicing efficiency and Complex I activity . Third, assess whether PPR596 localization changes during mitochondrial stress using fractionation studies and immunofluorescence; re-localization may indicate adaptive responses. Fourth, investigate post-translational modifications using phospho-specific antibodies or mobility shift assays, as these modifications often regulate protein function during stress. Fifth, analyze protein-protein interactions using co-immunoprecipitation with At1g80270 antibodies followed by mass spectrometry to identify stress-induced changes in the PPR596 interactome. When interpreting Complex I assembly defects, consider both direct effects from impaired nad2 processing and potential secondary effects from altered mitochondrial gene expression . For comprehensive analysis, implement parallel monitoring of nuclear retrograde signaling markers to determine if observed changes in PPR596 are part of a broader mitochondrial stress response. When comparing mutant phenotypes with biochemical data, consider tissue-specific effects, as PPR596 dysfunction may affect different tissues with varying severity depending on their metabolic requirements and mitochondrial content. This integrated approach allows researchers to distinguish direct PPR596-mediated effects from secondary consequences of mitochondrial dysfunction.

How can At1g80270 antibodies contribute to understanding PPR protein evolution across plant species?

At1g80270 antibodies can provide valuable insights into PPR protein evolution through comparative immunological approaches. First, leverage the antibodies in cross-species Western blot analyses to assess conservation of PPR596 epitopes across evolutionarily diverse plant species, from mosses to flowering plants. Second, combine immunoprecipitation with mass spectrometry to identify PPR596 orthologs in non-model species where genomic data is limited, helping to fill evolutionary gaps. Third, use At1g80270 antibodies to investigate whether PPR protein expression patterns and localization have diverged across species with different mitochondrial genome organizations and splicing requirements . Fourth, conduct comparative co-immunoprecipitation studies to determine if protein-protein interaction networks surrounding PPR596 are conserved or have evolved novel components in different lineages. For deeper evolutionary insights, complement immunological data with phylogenetic analyses based on sequencing data of immunoprecipitated proteins. When investigating species-specific patterns, consider differences in mitochondrial intron content and nad2 gene structure, as these may correlate with functional diversification of PPR proteins. Additionally, examine tissue-specific expression patterns across species to determine if regulatory mechanisms governing PPR596 expression have diversified during evolution. This multi-faceted approach can reveal how selective pressures on mitochondrial gene expression have shaped the evolution of this important PPR protein family across the plant kingdom, potentially identifying conserved functional domains that are essential for RNA processing across diverse species.

What potential exists for developing At1g80270 antibodies using AI-driven antibody design approaches?

AI-driven approaches hold significant promise for developing next-generation At1g80270 antibodies with enhanced specificity and functionality. Recent advances in generative AI for de novo antibody design could be applied to create antibodies with optimized binding properties for specific epitopes on the PPR596 protein . These computational methods can analyze the complex helical structure of PPR proteins to identify unique epitopes that minimize cross-reactivity with other PPR family members. Generative models trained on antibody-antigen interactions could design complementarity-determining regions (CDRs) specifically optimized for PPR596 binding . The zero-shot generative AI approach demonstrated for other targets could be adapted to create diverse antibody candidates against PPR596, which could then be screened using high-throughput methods . This diversity would be particularly valuable for targeting different functional domains or conformational states of the protein. AI-driven approaches could also optimize antibody developability profiles, ensuring good expression, stability, and low immunogenicity when used in various research applications . For validation, newly designed antibodies could be tested against ppr596 mutants and complementation lines to confirm specificity . Additionally, AI models could design antibodies that specifically recognize particular functional states of PPR596, such as RNA-bound versus unbound conformations, enabling more sophisticated studies of PPR protein dynamics. While promising, these approaches would require initial investment in computational infrastructure and validation studies but could ultimately produce superior reagents for studying this important mitochondrial protein.

How might At1g80270 antibodies be used in studying mitochondrial stress responses in changing environmental conditions?

At1g80270 antibodies provide powerful tools for investigating mitochondrial stress responses under changing environmental conditions. First, use time-course immunoblotting to track PPR596 protein levels during exposure to various stressors (drought, heat, cold, heavy metals, hypoxia), revealing potential stress-specific regulation patterns. Second, combine with subcellular fractionation to determine if stress induces changes in the mitochondrial localization or solubility of PPR596, potentially indicating functional state changes. Third, implement immunoprecipitation followed by phosphoproteomic analysis to identify stress-induced post-translational modifications that may regulate PPR596 activity during environmental adaptation . Fourth, use the antibodies in chromatin immunoprecipitation (ChIP) assays to investigate whether nuclear-encoded transcription factors regulating PPR596 expression change under stress conditions. For field-relevant insights, compare PPR596 expression and Complex I activity in plants grown under controlled versus natural fluctuating environments . When analyzing stress responses, correlate changes in PPR596 with mitochondrial genome stability and nad2 splicing efficiency to determine if RNA processing is actively regulated during stress adaptation. Additionally, investigate whether PPR596 participates in mitochondrial quality control mechanisms by examining its association with mitochondrial nucleoids or RNA granules under stress. This comprehensive approach can reveal how environmental signals are transduced to the mitochondrial gene expression machinery, potentially identifying PPR596 as a key mediator in the integration of environmental cues with mitochondrial function and energy metabolism in plants.

Table 1: Available At1g80270 (PPR596) Antibody Products

Antibody CodeTarget RegionFormatHostELISA TiterApplicationsEpitope Information
X-Q9C977-NN-terminusMonoclonal combinationMouse10,000WB, ELISA3 synthetic peptides from N-terminus
X-Q9C977-CC-terminusMonoclonal combinationMouse10,000WB, ELISA3 synthetic peptides from C-terminus
X-Q9C977-MMid-regionMonoclonal combinationMouseNot specifiedNot fully describedInformation incomplete

Source: AB-Mart antibody information

Table 2: PPR596 Protein Characteristics

FeatureDetails
Protein NamePentatricopeptide repeat-containing protein At1g80270, mitochondrial
Gene NameAt1g80270 (PPR596)
UniProt/GenBank IDsQ9C977, NP_001077853.1, NP_178143.1, NP_974190.1
Protein Length596 amino acids
Molecular Weight~67 kDa (predicted)
PPR Repeats8 P-type PPR repeats
Mitochondrial Targeting Sequence61 amino acids at N-terminus
Gene Structure3 introns (2 in coding region, 1 in 5′-UTR)
Biological FunctionRequired for nad2 intron splicing and Complex I assembly
Phenotype of MutantsSlow growth, delayed flowering, abnormal seed development

Source: Compiled from search results

Table 3: Recommended Protocols for Various Applications of At1g80270 Antibodies

ApplicationSample PreparationAntibody DilutionDetection MethodKey Controls
Western BlottingMitochondrial isolation with β-DM solubilization1:10,000HRP-conjugated secondary antibody with ECLWT, ppr596 mutant, complementation line
Immunofluorescence4% PFA fixation, 0.1% Triton X-100 permeabilization1:100 to 1:500Fluorophore-conjugated secondary antibodyCo-staining with mitochondrial markers
ImmunoprecipitationCrosslinking with formaldehyde, non-denaturing lysis5-10 μg per sampleProtein A/G beadsIgG control, input sample
Blue Native PAGEβ-DM solubilization of mitochondrial membranes1:5,000Enhanced chemiluminescenceComplex I activity assay correlation
RNA ImmunoprecipitationUV crosslinking, RNase inhibitor treatment5-10 μg per sampleRT-PCR of nad2 transcriptsRNA-seq validation

Source: Based on methodologies described in search results

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