ACADVL Antibody

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Product Specs

Buffer
Phosphate-buffered saline (PBS) with 0.02% Sodium Azide, 50% Glycerol, pH 7.3. Store at -20°C. Avoid repeated freeze-thaw cycles.
Lead Time
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Synonyms
ACAD 6 antibody; ACAD6 antibody; ACADV_HUMAN antibody; Acadvl antibody; Acyl CoA dehydrogenase very long chain antibody; Acyl Coenzyme A dehydrogenase very long chain antibody; LCACD antibody; mitochondrial antibody; Very long chain specific acyl CoA dehydrogenase antibody; Very long chain specific acyl CoA dehydrogenase mitochondrial antibody; Very long-chain specific acyl-CoA dehydrogenase antibody; VLCAD antibody
Target Names
ACADVL
Uniprot No.

Target Background

Function
Very long-chain specific acyl-CoA dehydrogenase (VLCAD) is one of the acyl-CoA dehydrogenases responsible for catalyzing the initial step of mitochondrial fatty acid beta-oxidation. This aerobic process breaks down fatty acids into acetyl-CoA, enabling the production of energy from fats. The first step in fatty acid beta-oxidation involves the removal of one hydrogen atom from carbons 2 and 3 of the straight-chain fatty acyl-CoA thioester, leading to the formation of trans-2-enoyl-CoA. Among the various mitochondrial acyl-CoA dehydrogenases, VLCAD specifically acts on acyl-CoAs with saturated primary chains containing 12 to 24 carbon atoms.
Gene References Into Functions
  1. Currently, there are no biochemical markers available for predicting disease severity or the need for treatment in VLCAD deficiency. While mutation analysis may hold predictive value, it might not be sufficiently robust for a significant proportion of mutations that have not been previously reported in clinically affected individuals. PMID: 27246109
  2. A retrospective analysis of early outcomes for individuals diagnosed with VLCAD deficiency through newborn screening (NBS) was conducted. This study describes initial presentations, diagnosis, clinical outcomes, and treatment in a cohort of 52 individuals aged 1-18 years. PMID: 27209629
  3. The following variants should be considered likely pathogenic: c.1273G > A (p.A425T), c.1001T > G (p.M334R), c.538G > A (p.A180T), c.640T > G (p.F214V), c.1076C > T (p.A359V), c.1019G > T (p.G340V), c.889_891delGAG (p.E297del), and c.1103A > C (p.Q368P). Individuals homozygous for the most prevalent pathogenic variant, c.848T > C (p.V283A), are expected to have a milder clinical course. PMID: 26385305
  4. Eleven mutations in the ACADVL gene were identified in seven patients, including seven previously reported mutations (p.S22X, p.W427X, p.A213T, p.G222R, p.R450H, c.296-297delCA, c.1605+1G>T) and four novel mutations (p.S72F, p.Q100X, p.M437T, p.D466Y). Notably, the p.R450H and p.D466Y mutations (14.28%, 2/14 alleles) were identified in two alleles. PMID: 24801231
  5. Case Report: A missense mutation within the ACADVL gene was identified as the cause of very-long-chain acyl-CoA dehydrogenase deficiency and sudden infant death. PMID: 20107901
  6. These findings highlight the importance of functional investigation of abnormal NBS results or clinical testing suggestive but not diagnostic of very-long-chain acyl-CoA dehydrogenase deficiency. PMID: 23480858
  7. These results emphasize the importance of considering the presence of mutations in the ACADVL gene when significant partial deficiency in CPTII activity is observed, but no mutations in the CPT2 gene can be identified. PMID: 23169530
  8. The identification of two VLCAD mutations underscores the need for cautious management of children with VLCAD deficiency. PMID: 21932095
  9. The expressions of LCHAD gene and protein are significantly reduced in early-onset severe preeclampsia and HELLP syndrome. PMID: 22093928
  10. An analysis of potential rhabdomyolysis-susceptibility genes (RYR 1, CPT II, VLCAD, and CYP 2D6) from autopsy samples of methamphetamine abusers revealed no clear association between the genetic mutations observed in this study and rhabdomyolysis. PMID: 20952238
  11. Downregulation of ACADVL is associated with cervical squamous cell carcinoma. PMID: 20099975
  12. Missense mutations in Very-Long-Chain Acyl-CoA Dehydrogenase are linked to inborn errors of lipid metabolism. PMID: 20060901
  13. This study confirms that VLCAD deficiency, although less frequent than CPT II deficiency, should be systematically considered in the differential diagnosis of exercise-induced rhabdomyolysis. PMID: 19327992
  14. The results suggest a novel regulatory mechanism for homeostatic VLCAD activity. Dysregulation of this mechanism might contribute to the production of oxidative stress and the pathogenesis of idiopathic pulmonary fibrosis. PMID: 19889959
  15. A novel and unique mutation (IVS13+25G>A) was reported in a compound heterozygote carrying the 1748 C>T mutation in exon 18. PMID: 16464760
  16. The bacterial expression system developed in this study will significantly advance our understanding of both the clinical aspects of VLCAD deficiency and the fundamental biochemistry of the enzyme. PMID: 17374501
  17. In asymptomatic mild VLCAD deficiency, a fat-reduced diet may not be necessary. However, in later infancy and adolescence, strenuous physical exercise may require additional energy from medium-chain fat. PMID: 17457695
  18. This report describes the course of disease in a pair of monozygotic twin sisters. PMID: 17514507
  19. Bezafibrate, a widely prescribed hypolipidemic drug, can be utilized for the correction of VLCAD deficiency and exemplifies the integration of molecular information in a therapeutic strategy. PMID: 17999356
  20. Loss of heterozygosity on 17p13 and down-regulation of ACADVL can serve as a means of distinguishing adrenal cortex neoplasms from adrenocortical adenoma. PMID: 18156936

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Database Links

HGNC: 92

OMIM: 201475

KEGG: hsa:37

STRING: 9606.ENSP00000349297

UniGene: Hs.437178

Involvement In Disease
Acyl-CoA dehydrogenase very long-chain deficiency (ACADVLD)
Protein Families
Acyl-CoA dehydrogenase family
Subcellular Location
Mitochondrion inner membrane; Peripheral membrane protein.; [Isoform 2]: Mitochondrion inner membrane; Peripheral membrane protein.

Q&A

What is ACADVL and why is it important in mitochondrial research?

ACADVL (also known as VLCAD) is a critical enzyme that catalyzes the first step of mitochondrial fatty acid beta-oxidation, an aerobic process that breaks down fatty acids into acetyl-CoA to enable energy production from fats. This enzyme specifically removes hydrogen from C-2 and C-3 positions of straight-chain fatty acyl-CoA thioesters, creating trans-2-enoyl-CoA products . ACADVL is distinctive among acyl-CoA dehydrogenases for its specificity toward acyl-CoAs with saturated 12 to 24 carbon long primary chains . This enzyme's function is crucial to understanding mitochondrial metabolism disorders, particularly in tissues with high energy demands such as cardiac and skeletal muscle.

What criteria should researchers use when selecting an ACADVL antibody?

When selecting an ACADVL antibody, researchers should consider:

  • Antibody type and specificity: Choose between monoclonal (e.g., rabbit recombinant monoclonal EPR15107(B) or mouse monoclonal H-7 ) and polyclonal options (e.g., rabbit polyclonal 14527-1-AP ) based on experimental needs. Monoclonals offer higher specificity while polyclonals provide broader epitope recognition.

  • Validated applications: Ensure the antibody has been validated for your intended application:

    • Western blot (1:1000-1:4000 dilution)

    • Immunohistochemistry (1:100-1:400 dilution)

    • Immunoprecipitation

    • Flow cytometry

    • Co-immunoprecipitation

  • Species reactivity: Confirm reactivity with your experimental model (human, mouse, rat) .

  • Validation data: Review knockout validation data where available. For example, ab188872 has demonstrated specificity through testing with ACADVL knockout HEK293T cell lines .

What are the optimal conditions for using ACADVL antibodies in Western blot applications?

For Western blotting with ACADVL antibodies:

  • Sample preparation: Use fresh tissue lysates from liver, muscle, or heart, or cell lines like HEK293T, HeLa, or HepG2 .

  • Protein loading: Load 20μg of total protein per lane for optimal signal detection .

  • Recommended dilutions:

    • Rabbit monoclonal antibodies (e.g., EPR15107(B)): 1:1000-1:10000

    • Rabbit polyclonal antibodies: 1:1000-1:4000

  • Expected molecular weight: 70 kDa (predicted), with observed bands typically between 66-73 kDa .

  • Controls: Include positive controls (e.g., liver tissue) and negative controls (ACADVL knockout cell lysates where available) .

  • Secondary antibody options: For dual detection systems, use appropriate secondary antibodies such as:

    • Goat anti-Rabbit IgG H&L (IRDye® 800CW) at 1:10000-1:20000 dilution

    • HRP-conjugated secondaries at 1:1000 dilution

How should researchers optimize immunohistochemistry protocols with ACADVL antibodies?

For optimal IHC results with ACADVL antibodies:

  • Antigen retrieval: Perform heat-mediated antigen retrieval using:

    • Primary option: Tris/EDTA buffer pH 9.0

    • Alternative: Citrate buffer pH 6.0

  • Antibody dilution: Use 1:100-1:500 dilution depending on the specific antibody .

  • Detection systems:

    • For rabbit antibodies: Pre-diluted HRP Polymer for Rabbit IgG followed by hematoxylin counterstaining

    • For mouse antibodies: Appropriate anti-mouse detection systems

  • Tissue selection: ACADVL shows strong expression in metabolically active tissues:

    • Human kidney tissue

    • Human liver tissue

    • Colon tissue

  • Controls: Include tissues known to express ACADVL (liver, heart) and consider negative controls using isotype control antibodies.

How can ACADVL antibodies be used in co-immunoprecipitation studies to investigate protein interactions?

For co-immunoprecipitation (Co-IP) studies with ACADVL antibodies:

  • Antibody selection: Choose antibodies specifically validated for IP applications, such as ab188872 (used at 1:50 dilution for immunoprecipitation) or polyclonal antibody 14527-1-AP (validated for CoIP) .

  • Cell/tissue preparation:

    • Use freshly prepared lysates from A431 cells or other relevant cell lines

    • Employ gentle lysis buffers containing protease inhibitors to preserve protein-protein interactions

    • Pre-clear lysates to reduce non-specific binding

  • Immunoprecipitation protocol:

    • Incubate antibody with lysate (typically 1-5 μg antibody per mg of total protein)

    • Capture complexes using Protein A/G beads

    • Wash extensively to remove non-specific interactions

    • Elute and analyze by Western blot using antibodies against potential interaction partners

  • Controls: Include:

    • IgG control (same species as the primary antibody)

    • Input sample (pre-immunoprecipitation lysate)

    • Reverse Co-IP validation where possible

How can researchers validate ACADVL antibody specificity in experimental models?

Validation strategies for ACADVL antibodies include:

  • Knockout validation:

    • Test antibodies against ACADVL knockout cell lines (e.g., Human ACADVL knockout HEK-293T cell line ab266484)

    • This provides definitive evidence of specificity when signal is lost in knockout samples

  • Genetic models:

    • CRISPR/Cas9-generated models with ACADVL variants can be used to confirm antibody specificity and study variant effects

    • These models are particularly valuable when studying variants of uncertain significance

  • Peptide competition assays:

    • Pre-incubate the antibody with the immunizing peptide

    • Loss of signal confirms specificity for the target epitope

  • Multiple antibody validation:

    • Use antibodies from different sources recognizing different epitopes

    • Consistent results across different antibodies provide confidence in specificity

  • Multiple detection methods:

    • Confirm findings using both IHC and WB techniques

    • Correlate with mRNA expression data where possible

How can ACADVL antibodies contribute to studies of VLCAD deficiency and related metabolic disorders?

ACADVL antibodies are invaluable tools for studying VLCAD deficiency:

  • Protein expression analysis:

    • Quantify ACADVL protein levels in patient samples versus controls

    • Assess expression in different tissues to understand disease pathophysiology

  • Variant characterization:

    • With >300 variants of uncertain significance (VUSs) in the ACADVL gene requiring characterization , antibodies can help determine how these variants affect protein expression and stability

    • Combined with CRISPR/Cas9 gene editing, antibodies can help establish genotype-phenotype correlations

  • Diagnostic research:

    • Complement genetic testing approaches, which detect variants within coding regions and intron-exon boundaries

    • Study protein expression patterns in tissues from affected individuals

  • Therapeutic development:

    • Monitor protein expression changes in response to experimental therapies

    • Evaluate restoration of enzyme function in treatment models

  • Model systems:

    • Validate animal and cellular models of VLCAD deficiency

    • Study tissue-specific effects of ACADVL mutations

What are the best practices for using ACADVL antibodies in flow cytometry applications?

For flow cytometry applications with ACADVL antibodies:

  • Cell preparation:

    • Fix cells with paraformaldehyde (2%) for intracellular staining

    • Permeabilize cell membranes to allow antibody access to this mitochondrial protein

  • Antibody dilution:

    • Use ab188872 at 1:160 dilution for intracellular flow cytometry

    • Other antibodies should be titrated to determine optimal concentration

  • Controls:

    • Include isotype controls (e.g., rabbit IgG negative control)

    • Use cells with known ACADVL expression levels as positive controls

  • Secondary antibody selection:

    • For rabbit primary antibodies, use anti-rabbit IgG (FITC) at approximately 1:150 dilution

    • Ensure secondary antibodies are compatible with flow cytometry applications

  • Gating strategy:

    • Include mitochondrial markers for co-localization studies

    • Use appropriate controls to set gates for positive and negative populations

How can droplet digital PCR (ddPCR) complement antibody-based detection of ACADVL in research studies?

While antibody-based detection provides insights into protein expression and localization, ddPCR offers complementary genomic information:

  • Copy number analysis:

    • ddPCR can be used to determine genomic copy number of ACADVL exons and introns

    • This approach helps identify large deletions or duplications that may not be detected by standard sequencing

  • Integration with antibody studies:

    • Correlate genomic copy number variations with protein expression levels detected by antibodies

    • Multiplex ddPCR assays can target specific ACADVL regions (e.g., intron 11 and exons 10, 15, or 20)

  • Protocol considerations:

    • Use restriction enzyme digestion (e.g., EcoRI-HF) of genomic DNA before ddPCR

    • Utilize appropriate probes (e.g., FAM-labeled for ACADVL regions and HEX-labeled for reference loci like RPP30)

    • Calculate genomic copy number by comparing target concentration to reference loci

What considerations are important when using ACADVL antibodies in multi-omics research approaches?

When integrating ACADVL antibody-based studies into multi-omics approaches:

  • Proteomics integration:

    • Use antibodies for immunoprecipitation followed by mass spectrometry to identify interaction partners

    • Compare protein expression levels from antibody-based techniques with shotgun proteomics data

  • Genomics correlation:

    • Connect antibody-detected protein expression patterns with genomic variants identified through sequencing

    • Consider how variants (pathogenic, likely pathogenic, or VUS) affect protein expression

  • Transcriptomics relationship:

    • Compare protein levels detected by antibodies with mRNA expression levels

    • Investigate post-transcriptional regulation mechanisms when discrepancies are observed

  • Metabolomics connections:

    • Correlate ACADVL protein levels with metabolite profiles, particularly long-chain fatty acids and acylcarnitines

    • Investigate how protein expression variations impact metabolic pathways

  • Tissue-specific considerations:

    • Account for tissue-specific expression patterns when designing multi-omics studies

    • Select appropriate antibody dilutions based on expected expression levels in different tissues

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