Recombinant Cat Induced myeloid leukemia cell differentiation protein Mcl-1 homolog (MCL1)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery times vary depending on the purchase method and location. Contact your local distributor for precise delivery estimates.
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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 consolidate the contents. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard glycerol concentration is 50%, serving as a guideline for your use.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses to prevent 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
MCL1; Induced myeloid leukemia cell differentiation protein Mcl-1 homolog
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-350
Protein Length
full length protein
Species
Felis catus (Cat) (Felis silvestris catus)
Target Names
Target Protein Sequence
MFGLKRNAVIGLNLYCGGAGLAAGSGGASSSGGRLVAVGKEATARREVGGGEAGAVIGGS AGASPPATLAPDARRVARPSPIGAEGPDVTATPPKLLFFAATRCASPPEEMEGPAADAIM SPEEELDGYEPEPLGKRPAVLPLLELVGEASSGPGTDGSLPSTPPPAEEEEDELFRQSLE IISRYLREQATGAKDAKPLGGSGAASRKALETLRRVGDGVQRNHETAFQGMLRKLDIKNE NDVKSLSRVMVHVFSDGVTNWGRIVTLISFGAFVAKHLKSINQESCIEPLAESITDVLVR TKRDWLVKQRGWDGFVEFFHVEDLEGGIRNVLLAFAGVAGVGAGLAYLIR
Uniprot No.

Target Background

Function
MCL1 regulates apoptosis versus cell survival and maintains cell viability without affecting proliferation. It exerts its effects through interactions with various apoptosis regulators.
Database Links
Protein Families
Bcl-2 family
Subcellular Location
Membrane; Single-pass membrane protein. Cytoplasm. Mitochondrion. Nucleus, nucleoplasm. Note=Cytoplasmic, associated with mitochondria.

Q&A

What are the key structural features of MCL1 protein?

MCL1 is an antiapoptotic member of the BCL2 family characterized by a relatively short half-life. The protein contains multiple BCL-2 homology (BH) domains that are critical for its function. The carboxy terminal of MCL1 shares significant sequence homology with bcl-2. MCL1 exists in at least two distinct isoforms: MCL1L (long form) and MCL1S (short form), with an additional MCL1ES (extra short form) also reported. Each isoform has distinct functions - the longer isoform (MCL1L) inhibits apoptosis while the shorter isoform (MCL1S) promotes cell death .

How does MCL1 function differ from other BCL-2 family proteins?

MCL1 serves as a rapid sensor that regulates cell death due to its characteristically short half-life, unlike other more stable BCL-2 family members. Beyond apoptosis regulation, MCL1 has unique functions in cell cycle progression and mitochondrial homeostasis. The protein can heterodimerize with and neutralize pro-apoptotic BCL-2 family members such as Bim or Bak. MCL1 expression increases upon exposure to various DNA damaging agents (ionizing radiation, ultraviolet radiation, and alkylating drugs), working in concert with changes in GADD45, Bax, and bcl-2 expression .

What is the subcellular localization of MCL1 and how does it affect its function?

MCL1 is prominently associated with mitochondria, which aligns with its role in regulating apoptosis and mitochondrial function. The protein's localization is critical for its ability to interact with other BCL-2 family proteins and regulate cell survival. Through its mitochondrial association, MCL1 can influence various cellular processes including energy metabolism, particularly fatty acid oxidation (FAO). Recent research has shown that MCL1 functions as a master regulator of FAO, which creates unique vulnerabilities in MCL1-driven cancer cells that can be targeted therapeutically .

What are the optimal conditions for expressing recombinant MCL1 protein?

Recombinant MCL1 proteins are typically expressed in E. coli expression systems under controlled conditions. For optimal expression, consider using a bacterial expression vector with a strong promoter (T7 or tac) and fusion tags (His, GST, or MBP) to facilitate purification. Culture conditions should be optimized with induction at OD600 0.6-0.8 using IPTG concentrations of 0.1-1.0 mM, with temperatures lowered to 16-25°C during induction to increase soluble protein yield. It's important to include protease inhibitors during purification due to MCL1's susceptibility to degradation. For research applications requiring post-translational modifications, consider mammalian or insect cell expression systems rather than bacterial systems .

How can researchers effectively study MCL1 protein stability and half-life?

To study MCL1 protein stability:

  • Employ cycloheximide chase assays: Treat cells with cycloheximide to inhibit new protein synthesis, then harvest at various timepoints to assess MCL1 degradation rates

  • Pulse-chase experiments: Label proteins with radioisotopes or other tags, then track MCL1 degradation over time

  • Ubiquitination assays: Assess polyubiquitination patterns using immunoprecipitation followed by Western blotting

  • Phosphorylation analysis: Evaluate phosphorylation status using phospho-specific antibodies or mass spectrometry

  • Reverse-phase protein array: For high-throughput analysis of protein expression and post-translational modifications

Recent studies have shown that MCL1 inhibitors can paradoxically induce MCL1 protein stability, understanding the mechanisms of which requires these specialized techniques .

What methods can be used to study the interaction between MCL1 and other BCL-2 family proteins?

To investigate MCL1's interactions with other proteins:

  • Co-immunoprecipitation (Co-IP): Pull down MCL1 and identify binding partners

  • Proximity ligation assay (PLA): Visualize protein-protein interactions in situ

  • Fluorescence resonance energy transfer (FRET): Measure real-time interactions in living cells

  • Surface plasmon resonance (SPR): Determine binding kinetics and affinity constants

  • Isothermal titration calorimetry (ITC): Quantify thermodynamic parameters of binding

  • BH3 profiling: Assess functional interactions between anti-apoptotic and pro-apoptotic proteins

  • Molecular dynamics simulations: Predict key binding regions and interaction energies

These approaches have revealed that MCL1 predominantly interacts with specific pro-apoptotic BCL-2 family members such as Bim, Bak, and NOXA, with distinct binding patterns compared to other anti-apoptotic proteins like BCL-2 or BCL-xL .

How does MCL1 contribute to cancer development and treatment resistance?

MCL1 overexpression contributes to cancer cell survival and resistance to diverse chemotherapeutic agents through multiple mechanisms:

  • Direct inhibition of apoptosis by sequestering pro-apoptotic BCL-2 family members

  • Regulation of mitochondrial function and energy metabolism

  • Control of cell cycle progression

  • Modulation of DNA damage responses

In various cancer types, increased MCL1 expression correlates with poor prognosis and treatment resistance. For example, in glioblastoma, higher MCL1 expression is associated with immunosuppression, with significantly higher expression of immune checkpoint genes like CD274 and TIMP3 in MCL1-high tumors. This suggests that combining MCL1 inhibitors with immune checkpoint inhibitors might be therapeutically beneficial .

What is the current status of MCL1 inhibitor development for cancer therapy?

Several MCL1 inhibitors are currently under preclinical and clinical development:

  • AMG-176 and AZD5991 have shown promise in preclinical studies and are being tested for treating hematologic malignancies

  • MIM1 has been used as a reference compound in the development of next-generation inhibitors

  • Novel small molecule inhibitors are being identified through computational screening from natural product databases

Recent research has identified key amino acid residues, including PHE270 and MET250, as critical binding sites for MCL1 inhibition. Novel compounds ZINC000013374322 and ZINC000001090002 have demonstrated superior pharmacological properties and lower toxicity compared to reference inhibitors in computational studies. Current clinical challenges include balancing efficacy with toxicity, as MCL1's role in normal tissues raises concerns about potential side effects .

How can the MCL1-associated prognostic signature (MPS) be applied in cancer research?

The MCL1-associated prognostic signature (MPS) has been developed as a tool to predict patient prognosis in cancers like glioblastoma. To implement this approach:

  • Collect RNA-seq data from patient samples

  • Quantify expression of MCL1-related genes (TSHR, HIST3H2A, ARGE, OSMR, ARHGEF25)

  • Calculate risk scores using the formula: risk score = (−0.112721)TSHR + (−0.016743)HIST3H2A + 0.030476ARGE + 0.046739OSMR + 0.005866*ARHGEF25

  • Stratify patients into high-risk and low-risk groups based on optimal cut-off values

  • Validate using survival analysis (e.g., Kaplan-Meier curves)

This signature has shown high accuracy in predicting 1-year survival (AUC = 0.741) and 3-year survival (AUC = 0.775) in glioblastoma patients. This approach demonstrates the potential of MCL1-based molecular signatures for prognostication and treatment stratification in cancer research .

How does MCL1 regulate fatty acid oxidation (FAO) in cancer cells?

Recent discoveries have identified MCL1 as a master regulator of fatty acid oxidation (FAO), creating a metabolic vulnerability in MCL1-driven cancers. The relationship operates through:

  • Direct interaction of MCL1 with mitochondrial FAO machinery

  • Regulation of key enzymes in the fatty acid metabolism pathway

  • Influence on mitochondrial membrane dynamics and function

Research has demonstrated that MCL1-driven cancer cells become uniquely susceptible to FAO inhibitors. In experimental models, genetic deletion of Mcl-1 in cancer cells can be rescued by re-expression of human MCL1, indicating a specific dependency. This metabolic function of MCL1 appears to be distinct from its anti-apoptotic role, opening new therapeutic avenues. When designing experiments to target this vulnerability, researchers should consider combining FAO inhibitors with conventional therapies to overcome resistance mechanisms .

What are the non-apoptotic functions of MCL1 and how do they impact therapeutic targeting?

Beyond its canonical role in apoptosis regulation, MCL1 serves multiple non-apoptotic functions that significantly impact therapeutic targeting:

  • Cell cycle regulation: MCL1 influences cell cycle progression through interaction with cell cycle proteins

  • Mitochondrial dynamics: MCL1 regulates mitochondrial fusion/fission and cristae structure

  • Energy metabolism: MCL1 governs fatty acid oxidation and other metabolic pathways

  • DNA damage response: MCL1 participates in DNA repair mechanisms

These non-apoptotic functions may explain why MCL1 inhibitors sometimes have unexpected effects. When designing MCL1-targeted therapies, researchers need to consider potential impacts on these alternative functions. For example, inhibitors targeting only the anti-apoptotic function might miss critical metabolic dependencies. This complexity necessitates careful experimental design when evaluating MCL1 inhibitors, including assessment of mitochondrial function, metabolic parameters, and cell cycle effects beyond simple cell death assays .

How do post-translational modifications regulate MCL1 function and stability?

MCL1 function and stability are tightly regulated through various post-translational modifications:

  • Phosphorylation: Multiple kinases (GSK-3, JNK, ERK) phosphorylate MCL1 at different sites, affecting both stability and protein interactions

  • Ubiquitination: E3 ligases (MULE, FBW7, β-TrCP) target MCL1 for proteasomal degradation

  • Deubiquitination: USP9X and other deubiquitinases remove ubiquitin and stabilize MCL1

  • Cleavage: Caspases can cleave MCL1, converting it from anti- to pro-apoptotic forms

These modifications create a complex regulatory network that allows rapid adjustment of MCL1 levels and function in response to cellular stress. Experimental approaches to study these modifications include site-directed mutagenesis of modification sites, use of kinase or proteasome inhibitors, and targeted mass spectrometry. Understanding these modifications is crucial for developing drugs that might modulate MCL1 function through altering its post-translational modification patterns rather than direct binding inhibition .

What are the key considerations when designing experiments with MCL1 inhibitors?

When designing experiments with MCL1 inhibitors, researchers should consider:

  • Cell line selection: Different cell types have varying dependencies on MCL1 versus other BCL-2 family members

  • Inhibitor specificity: Confirm target engagement using thermal shift assays or CETSA (Cellular Thermal Shift Assay)

  • Combination strategies: Test MCL1 inhibitors with other BCL-2 family inhibitors (venetoclax) or conventional therapies

  • Resistance mechanisms: Monitor for compensatory upregulation of other anti-apoptotic proteins

  • Paradoxical effects: Some MCL1 inhibitors induce MCL1 protein stability while blocking function

  • Non-apoptotic functions: Assess impacts on metabolism, cell cycle, and mitochondrial function

  • In vivo translation: Consider pharmacokinetics, tissue distribution, and potential toxicities

Recent studies have shown that MCL1 inhibitors like AMG-176 and AZD5991 induce and stabilize MCL1 protein while inhibiting its function. Understanding this paradox is essential for proper experimental interpretation and therapeutic development .

How can researchers effectively compare feline MCL1 with human MCL1 in experimental studies?

To effectively compare feline and human MCL1:

  • Sequence alignment: Use bioinformatics tools to identify conserved domains and species-specific variations

  • Structural modeling: Generate comparative models to visualize structural differences

  • Expression vectors: Create constructs for both species variants with identical tags and promoters

  • Functional assays: Compare anti-apoptotic function using standardized cell death assays

  • Binding studies: Assess interaction with conserved binding partners (BIM, BAK) using identical methods

  • Inhibitor sensitivity: Compare response to the same panel of MCL1 inhibitors

  • Chimeric proteins: Create domain-swap constructs to identify functionally important regions

When conducting cross-species comparisons, it's crucial to use consistent experimental conditions and ensure that differences in post-translational modifications are accounted for. This approach can provide valuable insights into evolutionarily conserved functions versus species-specific adaptations of MCL1 .

What controls should be included when studying the effects of recombinant MCL1 in experimental systems?

Essential controls for recombinant MCL1 experiments include:

  • Protein quality controls:

    • Purity assessment via SDS-PAGE and mass spectrometry

    • Proper folding verification through circular dichroism

    • Activity confirmation via binding assays with known partners

  • Experimental controls:

    • Inactive MCL1 mutants (BH3 domain mutants)

    • Alternative BCL-2 family members (BCL-2, BCL-xL)

    • Vehicle controls for delivery systems

  • Rescue experiments:

    • Genetic knockout followed by reintroduction of wild-type or mutant MCL1

    • Species-specific rescue (e.g., human MCL1 in mouse Mcl-1 knockout)

  • Specificity controls:

    • Competitive binding assays with known ligands

    • Dose-response curves to demonstrate specific effects

    • Knockdown/knockout validation to confirm antibody specificity

Research has demonstrated the importance of these controls, particularly in rescue experiments. For example, exogenous human MCL1 expression can rescue the phenotype of mouse Mcl-1 deletion in B-ALL cells, confirming functional conservation across species and validating the specificity of observed effects .

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