At1g52620 Antibody

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Description

Target Protein: MTSF2 Function and Structure

The AT1G52620 gene encodes MTSF2, a 92 kDa protein containing 20 canonical P-type PPR repeats . These repeats facilitate RNA binding, enabling MTSF2 to stabilize mitochondrial RNA intermediates and ensure proper processing of nad1 transcripts, which are essential for respiratory complex I assembly .

Mutant Phenotypes

Disruption of AT1G52620 via T-DNA insertion or CRISPR-Cas9 results in:

  • Growth retardation: Homozygous mtsf2 mutants exhibit globally stunted growth compared to wild-type plants (Figure 1A) .

  • Mitochondrial Dysfunction: Loss of MTSF2 destabilizes a precursor RNA (nad1) required for mitochondrial complex I, impairing respiration .

Molecular Characterization

  • CRISPR-Cas9 Validation: A frameshift mutation (T insertion) in mtsf2-2 mutants introduced a premature stop codon, confirming the gene’s role in development .

  • Western Blot Analysis: Antibodies against mitochondrial proteins (e.g., NAD9, COX2) revealed altered respiratory chain components in mutants .

Gene ModelMutationPhenotypeKey Finding
AT1G52620T-DNA insertionStunted growthDisrupted nad1 RNA processing
AT1G52620CRISPR-Cas9 (T insertion)Identical to T-DNA mutantsConfirmed MTSF2 necessity

Research Applications

  • Immunoblotting: Detects MTSF2 in mitochondrial extracts to assess protein expression under stress or developmental stages .

  • Functional Studies: Links mitochondrial RNA metabolism to plant growth defects via knockout models .

Challenges and Considerations

  • Specificity Concerns: As with many antibodies (e.g., angiotensin AT1 receptor antibodies) , rigorous validation using knockout controls is essential.

  • Biological Context: MTSF2’s role extends beyond RNA processing, potentially influencing stress responses or signaling pathways yet to be characterized .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At1g52620 antibody; F6D8.16 antibody; Pentatricopeptide repeat-containing protein At1g52620 antibody
Target Names
At1g52620
Uniprot No.

Q&A

What is At1g52620 and why is it important for research?

At1g52620 encodes a mitochondrial pentatricopeptide repeat (PPR) protein comprising 19 PPR motifs, named PPR19, in Arabidopsis thaliana. This protein is critically important for mitochondrial function and plant development as it specifically binds to sequences in the 3'-terminus of NADH dehydrogenase 1 (nad1) transcripts, stabilizing those containing the second and third exons of nad1 . Loss of PPR19 function leads to improper splicing of nad1 transcripts, absence of mitochondrial complex I, and alterations in the nuclear transcriptome, particularly affecting alternative splicing of various nuclear genes . The protein is indispensable for normal growth and development, as ppr19 mutants display abnormal seed development, reduced seed yield, delayed germination, and retarded growth .

How does At1g52620 (PPR19) function at the molecular level?

At the molecular level, PPR19 functions as an RNA-binding protein that specifically recognizes and binds to sequences in the 3'-terminus of nad1 transcripts. This binding is crucial for the stabilization of transcripts containing the second and third exons of nad1 . The protein's 19 PPR motifs likely play a role in this specific RNA recognition and binding. When PPR19 is absent, the loss of these transcripts triggers multiple secondary effects on the accumulation and splicing of other nad1 transcripts, providing insights into the sequential processing of cis- and trans-spliced nad1 transcripts . The disruption of this process ultimately leads to the absence of mitochondrial complex I, a critical component of the respiratory chain, causing broad physiological consequences that affect plant development.

What are the key considerations when selecting an antibody against At1g52620?

When selecting an antibody against At1g52620 (PPR19), researchers should:

  • Specificity: Determine if the antibody specifically recognizes PPR19 without cross-reactivity to other PPR proteins, especially considering that Arabidopsis contains numerous PPR family members with similar sequence motifs.

  • Application compatibility: Verify that the antibody has been validated for your intended applications (Western blotting, immunoprecipitation, immunohistochemistry, ChIP, etc.).

  • Validation evidence: Review available validation data including Western blots demonstrating a single band at the expected molecular weight (~70-80 kDa for PPR19), immunoprecipitation results, or data using ppr19 mutants as negative controls .

  • Citation record: Check if the antibody has been successfully used in peer-reviewed publications specifically for At1g52620 protein detection .

  • Epitope information: Consider whether the antibody targets a unique region of the protein to minimize cross-reactivity with other PPR proteins.

  • Antibody format: Determine whether a monoclonal or polyclonal antibody would be more suitable for your specific research objectives.

What validation methods should be used to confirm At1g52620 antibody specificity?

A comprehensive validation approach for At1g52620 antibodies should include:

  • Western blot analysis: Compare protein extracts from wild-type and ppr19 mutant plants to confirm the absence of signal in the mutant.

  • Immunoprecipitation followed by mass spectrometry: Verify that the immunoprecipitated protein is indeed At1g52620/PPR19.

  • Gene silencing: Use RNAi or CRISPR to knock down/out At1g52620 expression and confirm reduced antibody signal .

  • Recombinant protein control: Express and purify recombinant At1g52620 protein to use as a positive control.

  • Preabsorption test: Preincubate the antibody with purified antigen prior to immunostaining to demonstrate specificity.

  • Orthogonal detection methods: Compare results from antibody-based detection with other methods such as RNA-seq or proteomics data.

  • Multiple antibody approach: Use antibodies targeting different epitopes of At1g52620 to confirm consistent detection patterns .

How can At1g52620 antibodies be optimized for Western blotting?

For optimal Western blotting results with At1g52620 antibodies:

  • Sample preparation:

    • Extract proteins from mitochondrial fractions rather than whole-cell lysates to enrich for PPR19

    • Include protease inhibitors to prevent degradation

    • Use freshly prepared samples when possible

  • Blocking optimization:

    • Test both BSA and non-fat milk blocking solutions (3-5%) to determine optimal background reduction

    • Consider using TBS-T rather than PBS-T if high background persists

  • Antibody dilution optimization:

    • Perform a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000) to identify optimal signal-to-noise ratio

    • Incubate primary antibody overnight at 4°C to enhance specific binding

  • Control samples:

    • Include protein extracts from ppr19 mutants as negative controls

    • Use recombinant PPR19 protein as a positive control when available

  • Detection considerations:

    • Choose secondary antibody carefully to minimize cross-reactivity with plant proteins

    • Consider using HRP-conjugated protein A/G for detection if secondary antibody background is problematic

  • Signal enhancement:

    • For low abundance detection, consider using enhanced chemiluminescence substrates or fluorescent secondary antibodies

What approaches are effective for immunoprecipitation of At1g52620 protein complexes?

For effective immunoprecipitation of At1g52620 protein complexes:

  • Sample preparation:

    • Extract proteins under native conditions using mild detergents (0.5-1% NP-40 or Triton X-100)

    • Include RNase inhibitors if RNA-protein interactions are to be preserved

    • Perform extractions from mitochondrial preparations for enrichment

  • Antibody binding:

    • Pre-clear lysates with protein A/G beads to reduce non-specific binding

    • Use sufficient antibody quantity (typically 2-5 μg per IP reaction)

    • Allow adequate binding time (4 hours to overnight at 4°C) with gentle rotation

  • Washing optimization:

    • Use increasingly stringent washing buffers to remove non-specific interactions

    • Consider including competitors like heparin if investigating RNA-binding functions

  • Elution strategies:

    • Use either acidic glycine buffer (pH 2.5) with immediate neutralization

    • For downstream mass spectrometry, elute with SDS sample buffer or on-bead digestion

  • Controls:

    • Include IP with pre-immune serum or IgG as negative control

    • Use ppr19 mutant plant material as biological negative control

    • Consider cross-linking antibody to beads to prevent antibody contamination in eluates

  • Verification:

    • Confirm successful IP by Western blotting for At1g52620

    • For RNA-protein interactions, extract and analyze bound RNAs by RT-PCR targeting nad1 transcripts

How can At1g52620 antibodies be used to investigate PPR19-RNA interactions in vivo?

To investigate PPR19-RNA interactions in vivo using At1g52620 antibodies:

  • RNA immunoprecipitation (RIP):

    • Perform crosslinking with formaldehyde (1%) to preserve RNA-protein interactions

    • Use optimized At1g52620 antibodies for immunoprecipitation

    • Extract and analyze bound RNAs by RT-PCR or RNA-seq

    • Focus analysis on nad1 transcripts, particularly regions containing the second and third exons

  • Crosslinking and immunoprecipitation (CLIP):

    • Use UV crosslinking to create covalent bonds between directly interacting RNA-protein

    • Fragment RNA to identify precise binding sites

    • Perform immunoprecipitation with At1g52620 antibodies

    • Sequence recovered RNA fragments to map binding sites at nucleotide resolution

  • Proximity-dependent biotinylation:

    • Create fusion proteins of PPR19 with BirA* or APEX2

    • Identify proteins and RNAs in the vicinity of PPR19 in vivo

    • Use At1g52620 antibodies to confirm expression and localization of fusion protein

  • In situ visualization:

    • Perform RNA FISH in combination with immunofluorescence using At1g52620 antibodies

    • Analyze co-localization of PPR19 with nad1 transcripts in plant mitochondria

  • Controls and validation:

    • Use ppr19 mutants as negative controls

    • Compare binding patterns with known binding sites in nad1 3'-terminus

    • Validate key interactions with in vitro binding assays

How do I troubleshoot inconsistent results with At1g52620 antibodies across different plant developmental stages?

When troubleshooting inconsistent results with At1g52620 antibodies across developmental stages:

  • Protein expression analysis:

    • Quantify At1g52620 transcript levels across developmental stages using qRT-PCR

    • Compare antibody detection with transcript abundance patterns

    • Consider that PPR19 levels may naturally vary across development stages

  • Protein extraction optimization:

    • Modify extraction protocols for different tissues (seeds, seedlings, mature leaves)

    • Adjust buffer components to account for tissue-specific interfering compounds

    • Consider using dedicated extraction kits for recalcitrant tissues

  • Epitope accessibility issues:

    • Test multiple antibodies targeting different epitopes of PPR19

    • Consider native vs. denaturing conditions if epitope accessibility is suspected

    • Evaluate potential post-translational modifications affecting epitope recognition

  • Developmental controls:

    • Include tissue-matched samples from ppr19 mutants as negative controls

    • Use housekeeping proteins specific to mitochondria as loading controls

    • Consider tissue-specific positive controls with known constant expression

  • Methodology assessment:

    • Systematically vary fixation methods for immunohistochemistry

    • Adjust antibody concentration based on target abundance in specific tissues

    • Test different detection systems with varying sensitivity levels

  • Experimental design:

    • Process all developmental stage samples in parallel to minimize technical variation

    • Consider biological replicates from multiple plant batches

    • Include technical replicates to assess method reproducibility

How should I interpret At1g52620 antibody signals in relation to mitochondrial complex I function?

When interpreting At1g52620 antibody signals in relation to mitochondrial complex I function:

  • Correlation analysis:

    • Compare At1g52620 antibody signal intensity with NAD1 protein levels

    • Assess correlation with assembled complex I using BN-PAGE and activity staining

    • Analyze relationships between PPR19 levels and NADH dehydrogenase activity

  • Localization patterns:

    • Examine co-localization with other complex I components

    • Compare mitochondrial distribution patterns in wild-type versus mutant backgrounds

    • Assess potential changes in submitochondrial localization under stress conditions

  • Functional implications:

    • Consider that PPR19 affects nad1 transcript processing but is not itself a complex I component

    • Interpret changes in PPR19 levels as potential indicators of altered mitochondrial RNA processing

    • Be cautious about direct causative relationships between PPR19 levels and complex I activity

  • Quantitative assessment:

    • Use established standards for quantification of Western blot signals

    • Compare results with functional assays of complex I activity

    • Consider potential threshold effects (minimum PPR19 required for function)

  • Experimental controls:

    • Include known complex I mutants for comparison

    • Use alternative OXPHOS complex markers to assess specificity of effects

    • Consider environmental conditions that might affect complex I independently

What approaches can resolve contradictory results between antibody-based detection and functional studies of At1g52620?

To resolve contradictions between antibody-based detection and functional studies:

  • Independent methodology validation:

    • Verify antibody specificity using ppr19 knockout/knockdown lines

    • Confirm functional results using multiple approaches (enzymatic assays, genetic complementation)

    • Employ orthogonal techniques (mass spectrometry, RNA-seq) to validate findings

  • Technical considerations:

    • Evaluate whether antibody detects all isoforms or specific variants of PPR19

    • Consider post-translational modifications that might affect function but not detection

    • Assess potential artifacts from sample preparation or experimental conditions

  • Biological complexity assessment:

    • Examine potential redundancy with other PPR proteins

    • Consider tissue-specific or conditional effects

    • Evaluate potential compensatory mechanisms in mutant backgrounds

  • Experimental design improvements:

    • Use dose-response relationships rather than simple presence/absence tests

    • Implement time-course experiments to capture dynamic processes

    • Control for environmental variables that might influence results

  • Integrative analysis:

    • Combine protein, RNA, and functional data in unified analysis frameworks

    • Use mathematical modeling to resolve apparent contradictions

    • Consider systems-level effects rather than linear cause-effect relationships

How do antibodies against At1g52620 compare with antibodies against other PPR proteins in Arabidopsis?

When comparing At1g52620 antibodies with those against other PPR proteins:

CharacteristicAt1g52620 (PPR19) AntibodiesOther PPR Protein Antibodies
Specificity challengesHigh due to conserved PPR motifsSimilar challenges with motif conservation
Epitope selectionTarget unique N/C-terminal regionsSimilar strategy recommended
Validation requirementsWestern blot, IP, KO controlsSame validation requirements
Cross-reactivity riskHigh with PPR proteins in same cladeDependent on PPR protein similarity
Application versatilityWB, IP, potentially IHCSimilar application potential
AvailabilityLimited commercial optionsVaries by specific PPR protein
Performance in fixed tissuesRequires optimizationSimilar optimization needed

Key considerations for comparison:

  • Sequence homology assessment:

    • Perform sequence alignment of PPR19 with other PPR proteins

    • Identify unique regions for antibody targeting

    • Predict potential cross-reactivity based on epitope conservation

  • Validation stringency:

    • Apply equally rigorous validation for all PPR protein antibodies

    • Use respective gene mutants as negative controls

    • Verify specificity against recombinant proteins when available

  • Application-specific optimization:

    • Compare performance across different experimental contexts

    • Optimize protocols for specific applications independently

    • Document application-specific limitations

  • Technical performance comparison:

    • Evaluate signal-to-noise ratio under standardized conditions

    • Compare sensitivity limits for protein detection

    • Assess reproducibility across multiple experiments

How can I use At1g52620 antibodies to investigate interactions between RNA processing and mitochondrial function?

To investigate interactions between RNA processing and mitochondrial function:

  • Co-immunoprecipitation studies:

    • Use At1g52620 antibodies to pull down PPR19 and associated proteins

    • Identify interacting partners involved in RNA processing or mitochondrial function

    • Perform reciprocal IPs to confirm interactions

  • Spatial organization analysis:

    • Use immunogold electron microscopy with At1g52620 antibodies

    • Map PPR19 localization within mitochondrial subcompartments

    • Correlate with sites of RNA processing and translation

  • Functional correlation studies:

    • Monitor PPR19 levels, nad1 transcript processing, and complex I activity simultaneously

    • Assess correlations under various stress conditions or developmental stages

    • Determine temporal relationships between changes in these parameters

  • Comparative analysis with other mutants:

    • Use antibodies to assess PPR19 levels in other RNA processing mutants

    • Compare mitochondrial function, PPR19 levels, and RNA processing in multiple genetic backgrounds

    • Identify shared and distinct pathways affecting mitochondrial function

  • Integration with transcriptomic data:

    • Correlate PPR19 protein levels with changes in the mitochondrial and nuclear transcriptome

    • Focus particularly on genes related to mitochondrial function and alternative splicing

    • Identify potential regulatory networks linking these processes

  • Stress response studies:

    • Monitor PPR19 levels during mitochondrial stress conditions

    • Correlate with changes in RNA processing and mitochondrial function

    • Identify potential adaptive responses involving PPR19-mediated RNA processing

How might advanced imaging techniques enhance At1g52620 antibody applications in plant organelle research?

Advanced imaging techniques can significantly enhance At1g52620 antibody applications:

  • Super-resolution microscopy:

    • Use STED or STORM microscopy with At1g52620 antibodies

    • Achieve 20-50 nm resolution of PPR19 distribution within mitochondria

    • Correlate with nucleoid structures and RNA processing sites

    • Requirements: Highly specific antibodies with bright, photostable fluorophores

  • Live-cell imaging approaches:

    • Combine antibody fragments (Fab, nanobodies) with cell-penetrating peptides

    • Monitor dynamic changes in PPR19 localization during mitochondrial stress

    • Track association with newly synthesized nad1 transcripts

    • Considerations: Development of specialized antibody derivatives required

  • Correlative light and electron microscopy (CLEM):

    • Locate PPR19 via fluorescent antibodies, then examine ultrastructure by EM

    • Precisely map PPR19 to mitochondrial substructures

    • Correlate with sites of RNA processing and translation

    • Technical challenges: Sample preparation preserving both fluorescence and ultrastructure

  • Multiplexed imaging:

    • Simultaneously detect PPR19, mitochondrial markers, and RNA

    • Use spectrally distinct fluorophores or sequential antibody labeling

    • Map spatial relationships between multiple components

    • Implementation: Requires careful antibody selection to avoid cross-reactivity

  • Expansion microscopy:

    • Physically expand specimens to improve resolution with standard microscopes

    • Visualize PPR19 distribution in expanded mitochondria

    • Benefits from small antibody formats for better penetration

    • Considerations: Protocol adaptation for plant tissues required

What are the prospects for studying At1g52620 protein interaction networks using advanced proteomics with validated antibodies?

Prospects for studying At1g52620 protein interaction networks using advanced proteomics:

  • Antibody-based proximity labeling:

    • Conjugate At1g52620 antibodies with enzymes like BirA* or APEX2

    • Identify proteins in close proximity to PPR19 in vivo

    • Map dynamic interaction changes under different conditions

    • Technical considerations: Enzyme conjugation must preserve antibody specificity

  • Crosslinking mass spectrometry (XL-MS):

    • Use antibodies to purify PPR19 complexes after in vivo crosslinking

    • Identify direct protein-protein contacts through crosslinked peptides

    • Map structural organization of PPR19-containing complexes

    • Implementation challenges: Requires highly specific antibodies and specialized MS analysis

  • Co-IP combined with quantitative proteomics:

    • Use At1g52620 antibodies for immunoprecipitation

    • Apply label-free or isotope labeling approaches for quantification

    • Compare interactome changes across developmental stages or stress conditions

    • Analytical approach: Consider SAINT or similar algorithms to filter true interactions

  • Thermal proximity co-aggregation (TPCA):

    • Monitor PPR19 thermal stability using antibody detection

    • Identify interacting proteins through coordinated thermal stability shifts

    • Advantage: Can detect transient or weak interactions missed by co-IP

    • Technical requirements: High-throughput antibody-based protein quantification

  • Integration with structural biology:

    • Use antibodies to purify native complexes for cryo-EM analysis

    • Potentially use antibody fragments as fiducial markers

    • Create composite models of PPR19-RNA-protein complexes

    • Future direction: May enable visualization of dynamic RNA processing complexes

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