Recombinant Oryza sativa subsp. japonica Heat stress transcription factor A-3 (HSFA3)

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Product Specs

Form
Lyophilized powder
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Lead Time
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50% and can serve as a guideline.
Shelf Life
Shelf life depends on several factors: storage conditions, buffer components, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during the manufacturing process.
The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
HSFA3; HSF07; Os02g0527300; LOC_Os02g32590; P0458B05.23; P0475F05.3; Heat stress transcription factor A-3; Heat stress transcription factor 7; OsHsf-07
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-498
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Oryza sativa subsp. japonica (Rice)
Target Names
HSFA3
Target Protein Sequence
MDHNTDPPPT TMVDAAAALL LEPKLEGYDD DGGGEPLQPA PFVSPLDQLM QPPRPLEALL QGPQLPPFLS KTYDLVCEPE LDGVISWGHA GNSFVVWDPS AFARDVLPHH FKHNNFSSFV RQLNTYGFRK VHADRWEFAH EDFLRHSKHL LKKIVRRRSS PTQQSGLQPG SSGESGLDPE LNTLRREKSA LLQEVTRLKQ EHLQTIEQMS TLNQRLESAE DRQKQMVSFL AKLLQNPTFL RQLKMHRQQK EIDSTRVKRK FLKHVPHGNI DSGESSSQHT GESNLDFSPT SLDLPATHSD ILDLQNFLLE DGDLNLAMLP ENIGLDGIEA PDDIGALVQG FDTQEELELG SGVELLEIPP ASGPRGQDPT IGRSKGKNVL SPGLDATSSE ADCLGSFSDN MGMLSDSMLQ TAGKLMDADD DERIWGVDAS SALQSSCSGT SQQAYGSLVS DPYLMEMANK PEKFWELDFQ ALDDGDLQLD KCVIDDPALQ QQRGNMNS
Uniprot No.

Target Background

Function
Transcriptional regulator that specifically binds to DNA sequences of heat shock promoter elements (HSE).
Database Links
Protein Families
HSF family, Class A subfamily
Subcellular Location
Cytoplasm. Nucleus.

Q&A

What is the basic structure and functional domains of Oryza sativa HSFA3?

HSFA3 belongs to the heat shock transcription factor family and contains characteristic functional domains including a DNA-binding domain (DBD) and an oligomerization domain (OD). The oligomerization domain is particularly important as it mediates interactions with other heat shock transcription factors, forming functional complexes that regulate gene expression . Unlike some other HSFs, the C-terminus of HSFA3 appears to be dispensable for protein-protein interactions, as demonstrated by truncation experiments in yeast-two-hybrid systems .

How is HSFA3 regulated at the transcriptional level?

HSFA3 expression is directly regulated by the transcription factor DREB2A under heat stress conditions. DREB2A functions as a key regulator in both drought and heat stress responses and activates the expression of HSFA3 . Expression analysis reveals that HSFA3 is one of the most strongly upregulated heat-inducible genes in transgenic plants overexpressing DREB2A, indicating a transcriptional cascade where DREB2A acts upstream of HSFA3 . This regulatory relationship has been confirmed through expression profile analyses and transactivation studies .

What is the role of HSFA3 in heat stress memory?

HSFA3 is specifically required for physiological heat stress memory, which allows plants to maintain enhanced tolerance to heat stress after an initial priming event. Research demonstrates that HSFA3 protein levels directly control the duration of heat stress memory . Extending the recovery phase between priming and triggering heat stress events revealed that heat stress memory in wild-type plants can be detected up to 5 days after priming, while lines with enhanced HSFA3 expression retained some memory for up to 6 days . This indicates that HSFA3 is a key determinant of the duration of transcriptional memory after heat stress.

What are effective methods for studying HSFA3 protein interactions?

Multiple complementary approaches have proven effective for investigating HSFA3 protein interactions:

  • Yeast-Two-Hybrid (Y2H) System: Useful for confirming direct protein-protein interactions. For HSFA3, this method has successfully demonstrated interactions with HSFA2, with the interaction being mediated through the oligomerization domain .

  • In Planta Co-Immunoprecipitation: More biologically relevant than Y2H, this approach utilizes transgenic lines expressing tagged versions of proteins (e.g., HSFA2-YFP and FLAG-HSFA3) from their native promoters in appropriate genetic backgrounds (e.g., hsfa2 hsfa3-1 double mutants) .

  • Protein Complex Purification: For identifying multiple interaction partners, FLAG-HSFA3 and associated proteins can be purified under different conditions (e.g., no heat stress, after heat stress, or after acclimation) .

These methods should be used in combination to provide robust evidence of protein interactions under physiologically relevant conditions.

How can researchers effectively assess HSFA3 function through genetic approaches?

Several genetic approaches have proven useful for functional characterization of HSFA3:

  • T-DNA Insertion Mutants: Loss-of-function mutants of HSFA3 show decreased thermotolerance, demonstrating its essential role in heat stress responses .

  • Overexpression Lines: Transgenic plants overexpressing HSFA3 exhibit increased thermotolerance, confirming its positive regulatory role in heat stress responses .

  • Native Overexpressors: Genetic screens using reporter-based systems have identified lines with enhanced native expression of HSFA3, which display extended heat stress memory compared to wild-type plants .

  • amiRNA Lines: Artificial microRNA approaches provide an alternative method for reducing HSFA3 expression, especially useful when complete knockouts are not available or cause severe phenotypes .

These genetic tools should be combined with appropriate physiological assays to comprehensively assess HSFA3 function.

What experimental conditions are optimal for studying HSFA3 induction and function?

Based on published research, the following experimental conditions are recommended:

  • Heat Stress Treatments:

    • Standard heat stress: 37°C for 1 hour

    • Acclimation (priming): Initial heat exposure followed by recovery

    • Triggering heat stress: Secondary heat exposure after recovery

  • Other Stress Treatments:

    • Salt stress: 100 mM NaCl

    • Osmotic stress: 100 mM mannitol

    • Hormonal treatment: 5 μM ABA

    • Oxidative stress: 5 mM H₂O₂

  • Time Points: Examine responses at both early (30 minutes) and later (3 hours) time points to capture both immediate and sustained responses .

For studying heat stress memory specifically, allow for a recovery phase of up to 6 days between priming and triggering heat stress events to fully capture the temporal dynamics of memory responses .

How does HSFA3 interact with other heat shock transcription factors?

HSFA3 forms heteromeric complexes with HSFA2, which is critical for regulating heat stress memory genes. This interaction has been confirmed through both yeast-two-hybrid assays and in planta co-immunoprecipitation . The interaction is mediated by the oligomerization domain, while the C-terminus of both proteins appears to be dispensable for this interaction .

Genetic analysis indicates that in the absence of one "memory" HSF (either HSFA2 or HSFA3), the remaining HSF still retains some activity, suggesting that both transcription factors may have additional binding partners beyond their interaction with each other . This points to the existence of a complex network of HSF interactions that collectively regulate heat stress responses.

What is the relationship between DREB2A and HSFA3 in the heat stress response pathway?

DREB2A functions as a master regulator in the heat stress response pathway, directly controlling the expression of HSFA3. The relationship between these two transcription factors has been characterized as follows:

  • DREB2A binds to and activates the promoter of HSFA3 under heat stress conditions .

  • Expression profile analysis shows that HSFA3 is strongly upregulated in plants overexpressing DREB2A .

  • Transactivation analysis confirms that HSFA3 expression is directly regulated by DREB2A .

  • HSFA3 functions downstream of DREB2A in the transcriptional cascade regulating heat stress responses .

This regulatory relationship places HSFA3 as a critical intermediary in the DREB2A-controlled stress response pathway, where DREB2A senses the stress signal and HSFA3 amplifies the response by activating numerous heat-inducible genes .

What genes are regulated by HSFA3 and what motifs does it recognize?

HSFA3 regulates a subset of heat-inducible genes important for thermotolerance. Microarray analysis of plants overexpressing HSFA3 revealed numerous heat-inducible genes that are upregulated in these lines . As a heat shock transcription factor, HSFA3 recognizes heat shock elements (HSEs) in the promoters of its target genes, which typically contain the consensus sequence nGAAnnTTCn.

The specific gene targets regulated by HSFA3 include:

  • Various heat shock proteins (HSPs) that function as molecular chaperones

  • Other stress-responsive genes involved in cellular protection

  • Memory-associated genes that maintain elevated expression levels after an initial heat stress

Comparative transcriptomic analyses between wild-type plants and HSFA3 mutants or overexpressors under heat stress conditions provide comprehensive identification of HSFA3-regulated genes .

Beyond heat stress, what other abiotic stresses involve HSFA3 function?

While HSFA3 was initially characterized for its role in heat stress responses, research indicates it functions in multiple abiotic stress responses:

  • Salt Stress: HSFA3 expression is significantly induced in rice roots and leaves after 30 minutes of salt treatment (100 mM NaCl), suggesting involvement in salt stress responses .

  • Osmotic Stress: Mannitol treatment (100 mM) induces HSFA3 expression in roots after 30 minutes, indicating a role in osmotic stress responses .

  • ABA Signaling: ABA treatment strongly induces HSFA3 expression in roots, with ABA-triggered induction being approximately 2-fold higher than that triggered by salt stress, reaching ~43-fold and ~33-fold induction after 30 minutes and 3 hours of ABA treatment, respectively . This suggests HSFA3 participates in ABA-mediated stress responses.

The involvement of HSFA3 in multiple stress responses suggests it functions as a node in interconnected stress response networks, potentially integrating different stress signals.

How does the expression of HSFA3 differ between rice cultivars under stress conditions?

These cultivar-specific differences in HSFA3 expression patterns suggest genetic variation in stress response mechanisms among rice varieties, which might contribute to differences in stress tolerance. This variability should be considered when designing experiments and interpreting results across different rice cultivars.

What is the relationship between HSFA3 and plant growth under normal and stress conditions?

HSFA3 influences plant growth under both normal and stress conditions. Transgenic plants with altered HSFA3 expression (knockout mutants or artificial microRNA lines) demonstrate:

  • Under normal conditions: Stunted growth visible 7 days after sowing and at 3 weeks of age, with significant reductions in shoot height, root length, and biomass accumulation .

  • Under salt stress: Greater reduction in shoot and root length compared to wild-type plants, as well as significantly less fresh weight and dry weight accumulation .

  • Under osmotic stress: Greater reduction in shoot and root length when grown on medium containing mannitol .

  • Under ABA treatment: Hypersensitivity to ABA, visible by diminished shoot and root length .

These observations suggest that HSFA3 functions as a positive regulator of vegetative growth under normal conditions while also contributing to stress tolerance under adverse conditions.

What are the most effective transgenic approaches for studying HSFA3 function?

Several transgenic approaches have proven effective for studying HSFA3 function:

ApproachMethodologyAdvantagesConsiderations
OverexpressionExpress HSFA3 under constitutive promoters (e.g., 35S)Reveals gain-of-function phenotypes; demonstrates sufficiencyMay cause developmental abnormalities; potential ectopic effects
Knockout/KnockdownT-DNA insertion mutants or CRISPR-Cas9Reveals requirement for gene functionPotential genetic compensation; lethality if essential
amiRNAExpress artificial microRNAs targeting HSFA3Allows tissue-specific or inducible knockdownVariable efficiency; potential off-target effects
Native promoter fusionExpress HSFA3 from its own promoter in mutant backgroundProvides physiologically relevant expressionLess dramatic phenotypes than overexpression
Reporter gene fusionFuse HSFA3 to YFP, GFP or other tagsAllows protein localization and dynamics studiesTag may affect protein function

For the most comprehensive understanding, multiple complementary approaches should be employed, with appropriate controls to validate findings .

How can researchers effectively study HSFA3 memory function in heat stress responses?

Studying HSFA3's role in heat stress memory requires specialized experimental designs:

  • Acclimation Protocol Design:

    • Implement a priming heat stress (e.g., 37°C for 1 hour)

    • Allow a recovery period (ranging from 1-6 days)

    • Apply a triggering heat stress

    • Assess survival or other physiological parameters compared to unprimed plants

  • Memory-Specific Markers:

    • Utilize reporter genes driven by memory-associated promoters

    • Monitor expression kinetics over time after priming

  • Genetic Approaches:

    • Compare wild-type, HSFA3 knockout, and HSFA3 overexpressing lines

    • Analyze double mutants (e.g., hsfa2 hsfa3) to assess genetic interactions

  • Chromatin Immunoprecipitation (ChIP):

    • Examine HSFA3 binding to target gene promoters during memory phase

    • Assess chromatin modifications associated with HSFA3 binding sites

For quantitative assessment of heat stress memory, researchers should examine physiological responses (survival rates, chlorophyll content, electrolyte leakage) as well as molecular markers (expression of memory-associated genes) at multiple time points during the recovery phase .

What are the methodological challenges in analyzing HSFA3 protein complexes in vivo?

Analysis of HSFA3 protein complexes in vivo presents several methodological challenges:

  • Expression Level Considerations: The composition of HSF complexes in vivo at endogenous expression levels is virtually unknown, as most studies utilize overexpression systems that may not reflect physiological conditions .

  • Temporal Dynamics: HSF complex formation is dynamic and stress-dependent, requiring careful timing of analyses after stress application.

  • Tissue Specificity: Different tissues may contain different HSF complex compositions, necessitating tissue-specific analyses.

  • Technical Limitations:

    • Co-immunoprecipitation requires high-quality antibodies or epitope tags that don't interfere with complex formation

    • Crosslinking conditions must be optimized to capture transient interactions

    • Mass spectrometry sensitivity limits detection of low-abundance components

  • Data Interpretation: Distinguishing direct interaction partners from indirect associations in complex pull-downs requires additional validation experiments.

To overcome these challenges, researchers should:

  • Use tagged versions of proteins expressed from native promoters

  • Employ complementary approaches (Y2H, BiFC, FRET) to validate interactions

  • Perform analyses under multiple conditions (no stress, during stress, recovery phase)

  • Include appropriate controls to distinguish specific from non-specific interactions

How does rice HSFA3 compare functionally to HSFA3 in other plant species?

HSFA3 shows both conserved and species-specific functions across plant species:

Researchers comparing HSFA3 function across species should focus on:

  • Promoter structure and regulatory elements

  • Protein domain conservation and divergence

  • Interacting partner conservation

  • Target gene overlap and species-specific targets

These comparative analyses can provide insights into the evolution of heat stress response mechanisms and identify conserved core functions versus species-specific adaptations.

What is known about the relationship between HSFA3 and other HSF family members in rice?

Rice contains multiple HSF family members with distinct and overlapping functions:

  • HSFA2 and HSFA3 Interaction: These two HSFs form heteromeric complexes that drive transcriptional memory after heat stress. Both factors are required for full memory function, but each retains some activity in the absence of the other .

  • Functional Hierarchy: Different HSFs appear to function in specific aspects of heat stress response:

    • Immediate response HSFs

    • Memory-associated HSFs (including HSFA3)

    • Recovery-phase HSFs

  • HsfC1b Comparison: Unlike HSFA3, the class C heat shock factor HsfC1b functions in salt tolerance and development. While both are stress-responsive, they appear to regulate different sets of target genes and biological processes .

The full complement of HSF family members in rice creates a complex regulatory network with potential for both redundancy and specialization. Mutant analysis, protein interaction studies, and transcriptome profiling of multiple hsf mutants are necessary to fully map this network .

How can HSFA3 research be applied to develop heat-tolerant rice varieties?

HSFA3 research offers several strategies for developing heat-tolerant rice varieties:

  • Transgenic Approaches:

    • Overexpression of HSFA3 using constitutive or stress-inducible promoters

    • Fine-tuning HSFA3 expression levels to balance stress tolerance with normal growth

    • Engineering HSFA3 protein modifications to enhance activity or stability

  • Marker-Assisted Selection:

    • Identifying natural allelic variants of HSFA3 associated with enhanced heat tolerance

    • Developing molecular markers linked to beneficial HSFA3 alleles

    • Screening germplasm collections for optimal HSFA3 haplotypes

  • Precision Breeding:

    • CRISPR-Cas9 genome editing to modify HSFA3 regulatory regions

    • Creating targeted mutations that enhance HSFA3 function without full overexpression

  • Pyramiding Strategies:

    • Combining optimized HSFA3 alleles with other heat tolerance genes

    • Engineering multiple components of the heat stress response pathway

Implementation of these approaches should consider potential growth-stress tolerance tradeoffs, as constitutive activation of stress responses often comes at the cost of reduced growth under normal conditions .

What methodological considerations are important when assessing HSFA3-modified plants for stress tolerance?

When evaluating HSFA3-modified plants for stress tolerance, researchers should consider:

  • Stress Treatment Standardization:

    • Define precise heat stress protocols (intensity, duration, timing)

    • Standardize other stress applications (salt, drought, etc.)

    • Consider combined stress treatments that reflect field conditions

  • Growth Stage Specificity:

    • Test tolerance at multiple developmental stages (seedling, vegetative, reproductive)

    • Pay particular attention to reproductive stage tolerance, which often limits yield

  • Comprehensive Phenotyping:

    • Assess survival rates under severe stress

    • Measure growth parameters under moderate stress

    • Evaluate yield components under field-relevant stress conditions

    • Examine recovery capacity after stress relief

  • Control Considerations:

    • Include appropriate genetic background controls

    • Test multiple independent transgenic lines

    • Evaluate performance under both control and stress conditions

  • Molecular Phenotyping:

    • Monitor expression of known stress-responsive genes

    • Assess activation of downstream pathways

    • Measure relevant biochemical parameters (ROS levels, osmolytes, etc.)

These methodological considerations ensure robust and agriculturally relevant assessment of stress tolerance conferred by HSFA3 modifications .

How might HSFA3 function in multiple stress tolerance, and what experimental designs best test this?

HSFA3 appears to function in multiple stress responses, suggesting its potential for improving tolerance to combined stresses. To investigate this:

  • Combined Stress Experiments:

    • Apply sequential stresses (e.g., heat followed by drought)

    • Apply simultaneous stresses (e.g., heat and salt together)

    • Compare responses to single versus combined stresses

  • Molecular Response Analysis:

    • Perform transcriptome analysis under different stress combinations

    • Identify common and stress-specific HSFA3 target genes

    • Map regulatory network interactions across stress types

  • Physiological Assessment:

    • Measure key physiological parameters across stress types:

      • Photosynthetic efficiency

      • Membrane integrity

      • Osmotic adjustment capacity

      • Reactive oxygen species (ROS) levels

  • Field Evaluation:

    • Test performance under natural conditions with multiple stress factors

    • Collect data across multiple growing seasons and locations

    • Correlate laboratory findings with field performance

These experimental approaches can determine whether HSFA3 functions as a node in interconnected stress response networks that might be leveraged for developing multi-stress tolerant crops .

What are the critical unresolved questions about HSFA3 function in rice?

Despite significant progress, several critical questions about HSFA3 remain unanswered:

  • Regulatory Mechanisms:

    • How is HSFA3 activity post-translationally regulated?

    • What factors determine HSFA3 protein stability and turnover?

    • How do chromatin modifications influence HSFA3 target gene accessibility?

  • Complex Composition:

    • What is the complete composition of HSFA3-containing complexes in vivo?

    • How does complex composition change during different phases of stress response?

    • What cofactors are required for HSFA3 function at different target genes?

  • Transcriptional Memory:

    • What molecular mechanisms enable HSFA3 to maintain transcriptional memory?

    • How do HSFA3 complexes establish and maintain chromatin states at memory loci?

    • What determines the duration of HSFA3-mediated transcriptional memory?

  • Cross-Talk:

    • How does HSFA3 integrate signals from multiple stress pathways?

    • What is the relationship between HSFA3 and non-HSF transcription factors?

Addressing these questions will require innovative experimental approaches combining genomics, proteomics, and advanced imaging techniques .

What novel methodologies could advance our understanding of HSFA3 function?

Emerging technologies offer new opportunities to study HSFA3 function:

  • Single-Cell Approaches:

    • Single-cell RNA-seq to examine cell-type specific HSFA3 responses

    • Single-molecule imaging to track HSFA3 dynamics in living cells

  • Advanced Genomics:

    • Cut&Run or CUT&Tag for high-resolution mapping of HSFA3 binding sites

    • HiChIP to identify long-range chromatin interactions mediated by HSFA3

    • ATAC-seq to examine chromatin accessibility at HSFA3 target loci

  • Protein Analysis:

    • Proximity labeling (BioID, TurboID) to identify transient HSFA3 interactors

    • Cross-linking mass spectrometry to determine complex architecture

    • Hydrogen-deuterium exchange mass spectrometry to examine conformational changes

  • In Vivo Dynamics:

    • FRAP (Fluorescence Recovery After Photobleaching) to measure HSFA3 mobility

    • Optogenetic tools to control HSFA3 activity with spatiotemporal precision

    • Live-cell biosensors to monitor HSFA3 target gene expression in real time

These methodologies could provide unprecedented insights into the dynamic function of HSFA3 during stress responses and memory formation .

How might systems biology approaches enhance our understanding of HSFA3's role in stress response networks?

Systems biology approaches can reveal how HSFA3 functions within broader regulatory networks:

  • Network Modeling:

    • Construct gene regulatory networks integrating HSFA3 with other stress response pathways

    • Develop mathematical models predicting network behavior under different conditions

    • Identify network motifs and feedback loops involving HSFA3

  • Multi-Omics Integration:

    • Combine transcriptomics, proteomics, metabolomics, and phenomics data

    • Identify emergent properties not visible at single omics levels

    • Map HSFA3's influence across multiple cellular processes

  • Comparative Systems Analysis:

    • Compare HSFA3 networks across different rice varieties

    • Identify conserved and variable network components

    • Correlate network differences with stress tolerance phenotypes

  • Weighted Gene Co-expression Network Analysis (WGCNA):

    • Identify co-expression modules associated with HSFA3 function

    • Discover novel genes functioning in HSFA3-mediated processes

    • As demonstrated in rice stress studies, this approach can uncover modules significantly associated with genes involved in response to abiotic stresses

These systems-level approaches can provide a comprehensive understanding of how HSFA3 functions within the complex cellular environment and identify key intervention points for crop improvement .

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