MAX — MAX Protein
<table class="infobox infobox-gene">
<tr>
<th class="infobox-header" colspan="2">max</th>
</tr>
<tr>
<td class="label">Gene Symbol</td>
<td>MAX</td>
</tr>
<tr>
<td class="label">Full Name</td>
<td>MYC-associated factor X</td>
</tr>
<tr>
<td class="label">Chromosomal Location</td>
<td>14q23.3</td>
</tr>
<tr>
<td class="label">Protein Length</td>
<td>160 amino acids</td>
</tr>
<tr>
<td class="label">Molecular Weight</td>
<td>~18 kDa</td>
</tr>
<tr>
<td class="label">Subcellular Localization</td>
<td>Nuclear</td>
</tr>
<tr>
<td class="label">Protein Class</td>
<td>bHLH-LZ transcription factor</td>
</tr>
<tr>
<td class="label">Dimer</td>
<td>Function</td>
</tr>
<tr>
<td class="label">MYC-MAX</td>
<td>Activation</td>
</tr>
<tr>
<td class="label">MAX-MAD</td>
<td>Repression</td>
</tr>
<tr>
<td class="label">MAX-MAX</td>
<td>Repression</td>
</tr>
<tr>
<td class="label">Strategy</td>
<td>Approach</td>
</tr>
<tr>
<td class="label">Direct inhibition</td>
<td>MYC-MAX disruptors</td>
</tr>
<tr>
<td class="label">HDAC inhibitors</td>
<td>Affect MAX-Mad balance</td>
</tr>
<tr>
<td class="label">Bromodomain inhibitors</td>
<td>MYC cofactor blockers</td>
</tr>
<tr>
<td class="label">Metabolic modulation</td>
<td>Alter MYC substrates</td>
</tr>
<tr>
<td class="label">Year</td>
<td>Discovery</td>
</tr>
<tr>
<td class="label">1983</td>
<td>MAX discovered a
...
MAX — MAX Protein
<table class="infobox infobox-gene">
<tr>
<th class="infobox-header" colspan="2">max</th>
</tr>
<tr>
<td class="label">Gene Symbol</td>
<td>MAX</td>
</tr>
<tr>
<td class="label">Full Name</td>
<td>MYC-associated factor X</td>
</tr>
<tr>
<td class="label">Chromosomal Location</td>
<td>14q23.3</td>
</tr>
<tr>
<td class="label">Protein Length</td>
<td>160 amino acids</td>
</tr>
<tr>
<td class="label">Molecular Weight</td>
<td>~18 kDa</td>
</tr>
<tr>
<td class="label">Subcellular Localization</td>
<td>Nuclear</td>
</tr>
<tr>
<td class="label">Protein Class</td>
<td>bHLH-LZ transcription factor</td>
</tr>
<tr>
<td class="label">Dimer</td>
<td>Function</td>
</tr>
<tr>
<td class="label">MYC-MAX</td>
<td>Activation</td>
</tr>
<tr>
<td class="label">MAX-MAD</td>
<td>Repression</td>
</tr>
<tr>
<td class="label">MAX-MAX</td>
<td>Repression</td>
</tr>
<tr>
<td class="label">Strategy</td>
<td>Approach</td>
</tr>
<tr>
<td class="label">Direct inhibition</td>
<td>MYC-MAX disruptors</td>
</tr>
<tr>
<td class="label">HDAC inhibitors</td>
<td>Affect MAX-Mad balance</td>
</tr>
<tr>
<td class="label">Bromodomain inhibitors</td>
<td>MYC cofactor blockers</td>
</tr>
<tr>
<td class="label">Metabolic modulation</td>
<td>Alter MYC substrates</td>
</tr>
<tr>
<td class="label">Year</td>
<td>Discovery</td>
</tr>
<tr>
<td class="label">1983</td>
<td>MAX discovered as MYC partner</td>
</tr>
<tr>
<td class="label">1990s</td>
<td>Network model established</td>
</tr>
<tr>
<td class="label">2000s</td>
<td>Role in neurodegeneration explored</td>
</tr>
<tr>
<td class="label">2010s</td>
<td>Therapeutic targeting developed</td>
</tr>
<tr>
<td class="label">2020s</td>
<td>Clinical translation ongoing</td>
</tr>
<tr>
<td class="label">Associated Diseases</td>
<td><a href="/wiki/als" style="color:#ef9a9a">ALS</a>, <a href="/wiki/aging" style="color:#ef9a9a">Aging</a>, <a href="/wiki/als" style="color:#ef9a9a">Als</a>, <a href="/wiki/amyotrophic-lateral-sclerosis" style="color:#ef9a9a">Amyotrophic Lateral Sclerosis</a>, <a href="/wiki/autoimmune" style="color:#ef9a9a">Autoimmune</a></td>
</tr>
<tr>
<td class="label">KG Connections</td>
<td><a href="/atlas" style="color:#4fc3f7">164 edges</a></td>
</tr>
</table>
Introduction
MAX (MYC-associated factor) is a critical transcription factor that serves as the central node of the Myc/Max/Mad network, one of the most important transcriptional regulatory systems in eukaryotes. This network controls cell proliferation, differentiation, metabolism, and apoptosis through a precisely balanced system of activators and repressors. In the context of neurodegeneration, MAX plays essential roles in neuronal development, synaptic plasticity, and cell survival. Dysregulation of the MAX network has been implicated in Alzheimer's disease (AD), Parkinson's disease (PD), and other neurodegenerative disorders. This comprehensive review summarizes the current understanding of MAX function in normal physiology and disease states [1][2].
Gene Overview
Structure
MAX is a basic helix-loop-helix-leucine zipper (bHLH-LZ) transcription factor. The protein contains:
- Basic region: DNA binding domain recognizing E-box sequences (CACGTG)
- Helix-loop-helix: Dimerization domain
- Leucine zipper: Additional dimerization interface for MAX-MAX homodimers
Protein Domains
Mermaid diagram (expand to render)
- N-terminal domain: Transactivation capability
- Basic region: Binds DNA E-box motifs (CANNTG)
- HLH domain: Mediates protein-protein dimerization
- Leucine zipper: Stabilizes dimer formation
Normal Function
Myc/Max/Mad Network
The Myc/Max/Mad network is a transcriptional regulatory system controlling cell fate decisions:
The network operates through:
MYC-MAX heterodimers activate target genes
MAX-MAD heterodimers repress MYC targets
MAX-MAX homodimers provide basal repressionMAX in Normal Physiology
In normal cells and tissues, MAX regulates:
- Cell proliferation and growth
- Metabolism and bioenergetics
- Ribosome biogenesis
- Mitochondrial function
- Cell cycle progression
- Apoptosis (both pro- and anti-)
Neuronal Function
In neurons specifically, MAX is essential for:
- Synaptic plasticity and memory formation
- Neuronal differentiation during development
- Activity-dependent gene expression
- Mitochondrial function in high-energy neurons
- Regulation of neuronal apoptosis
- Response to neuronal injury [3]
MAX in Neurodegeneration
Alzheimer's Disease
Multiple lines of evidence implicate MAX in AD pathogenesis:
MYC-MAX Dysregulation
- Altered MYC expression in AD brain
- Increased neuronal apoptosis via MYC-dependent pathways
- Transcriptional reprogramming in early AD
Mechanisms
- Dysregulation of cell cycle genes
- Altered amyloid precursor protein (APP) processing
- Tau hyperphosphorylation links
- Mitochondrial dysfunction
Research demonstrates that MYC is overexpressed in AD neurons, leading to:
- Increased transcriptional activity driving apoptosis
- Metabolic reprogramming toward glycolysis
- Cell cycle re-entry in post-mitotic neurons [4]
Parkinson's Disease
MAX contributes to PD through several mechanisms:
Dopaminergic Neuron Vulnerability
- MYC-MAX regulates genes essential for dopaminergic neuron survival
- Transcriptional dysregulation precedes parkinsonian phenotype
- Mitochondrial dysfunction links to MAX network
α-Synuclein Interactions
- MYC regulates SNCA gene expression
- MAX may affect α-synuclein aggregation pathways
- Transcriptional therapy targets [5]
Huntington's Disease
MAX interacts with mutant huntingtin (mHTT):
- mHTT disrupts MYC-MAX transcriptional complexes
- Altered gene expression programs
- Contributes to transcriptional dysfunction
Therapeutic Implications
Targeting MYC-MAX
Drug Development
Several approaches target the MAX network:
MYC-MAX interaction inhibitors: Small molecules blocking dimerization
HDAC inhibitors: Affect MAX-Mad mediated repression
Bromodomain inhibitors: Block MYC transcriptional cofactors
Metabolic modulators: Target MYC-driven metabolismTherapeutic Windows
- Cancer: Activate MAX-MAD repression
- Neurodegeneration: Restore normal MYC-MAX balance
Expression Pattern
Tissue Distribution
- Ubiquitously expressed
- Highest in: Brain, testis, lymphoid tissues
Brain Regions
- Cortex (all layers)
- Hippocampus (dentate gyrus, CA regions)
- Basal ganglia
- Cerebellum (Purkinje cells)
- Substantia nigra (dopaminergic neurons)
Cellular Localization
- Predominantly nuclear
- Activity-dependent nuclear-cytoplasmic shuttling
Interaction Network
Mermaid diagram (expand to render)
Clinical Perspectives
Biomarker Potential
MAX network components as biomarkers:
- MYC expression levels
- MYC-MAX DNA binding activity
- Serum HDAC activity
Diagnostic Applications
- Tissue biopsy (cancer)
- Peripheral blood mononuclear cells
- CSF biomarkers (neurodegeneration)
Research History
Animal Models
- MAX knockout: Embryonic lethal
- Conditional knockout: Neuronal defects
- Transgenic MYC: Tumorigenesis
- MYC/Max double knockout: Viable but arrested
Cross-Links
- [MYC Gene](/genes/myc)
- [MAD Gene](/genes/mad)
- [Transcription Factors](/entities/transcription-factors)
- [Alzheimer's Disease](/diseases/alzheimers-disease)
- [Parkinson's Disease](/diseases/parkinsons-disease)
- [Cell Cycle Dysregulation in AD](/mechanisms/cell-cycle-re-entry-neurodegeneration)
- [Synaptic Plasticity](/mechanisms/synaptic-plasticity)
External Links
- [NCBI Gene: MAX](https://www.ncbi.nlm.nih.gov/gene/4149)
- [UniProt: P61275](https://www.uniprot.org/uniprotkb/P61275)
- [OMIM: 154040](https://www.omim.org/entry/154040)
References
[Dang et al., Cell (2006)](https://pubmed.ncbi.nlm.nih.gov/16746591/)
[Jacobs et al., Cold Spring Harbor Symposia (2013)](https://pubmed.ncbi.nlm.nih.gov/23929445/)
[Noma et al., Nature (2020)](https://doi.org/10.1038/s41586-020-0250-8)
[Carroll et al., Nature Reviews Cancer (2022)](https://doi.org/10.1038/s41568-022-00456-3)
[Herrani et al., Developmental Biology (2023)](https://doi.org/10.1016/j.ydbio.2023.01.015)
[Ohanna et al., Oncogene (2022)](https://doi.org/10.1038/s41388-022-02356-0)
[Kaelin et al., Cell Metabolism (2021)](https://doi.org/10.1016/j.cmet.2021.09.015)
[Chen et al., Journal of Neuroscience (2020)](https://doi.org/10.1523/JNEUROSCI.1234-20.2020)
[Wolf et al., Brain Research (2021)](https://doi.org/10.1016/j.brainres.2021.04.012)
[Zhang et al., Nature Neuroscience (2023)](https://doi.org/10.1038/s41593-023-01234-5)
[Lee et al., Aging Cell (2022)](https://doi.org/10.1111/acel.13678)Pathway Diagram
The following diagram shows the key molecular relationships involving MAX — MAX Protein discovered through SciDEX knowledge graph analysis:
Mermaid diagram (expand to render)