Charlatan (chn) is a zinc-finger protein that functions to maintain chromatin structure compatible with stem cell properties, including proliferation in Drosophila melanogaster . The protein does not simply act as an anti-differentiation factor as previously thought, but instead plays a crucial role in maintaining a chromatin environment that supports stem cell maintenance . Research using RNAi and mutational analysis has demonstrated that chn is essential for intestinal stem cell (ISC) division and normal differentiation of enteroblasts (EBs) . When chn is knocked down, Delta-positive ISCs do not divide efficiently, resulting in smaller cell nests, while enteroblasts exhibit abnormal differentiation with increased cell size .
Charlatan is considered a Drosophila REST-like molecule, showing functional similarity to the mammalian Neuron-restrictive silencing factor (NRSF), also known as RE-1 silencing transcription factor (REST) . Like REST, which regulates many neuron-specific genes in mammals, charlatan appears to have pivotal functions in neuronal development in Drosophila. The similarity extends to the regulation mechanism - both charlatan and REST undergo neuron-specific alternative splicing that produces divergent protein variants, providing regulatory complexity in the nervous system .
Neuron-specific alternative splicing of charlatan produces six divergent variants of Chn proteins . Recent research by Yamasaki et al. (2021) revealed that one of these variants preferentially localizes to axons . This axonal localization is determined by a small specific sequence within this variant, suggesting specialized roles beyond transcriptional regulation . This differential localization pattern may explain some of the diverse functions of charlatan in neuronal development and function.
Mutations in the charlatan gene lead to several observable phenotypes in Drosophila. When analyzed using the MARCM (mosaic analysis with a repressible cell marker) technique, chn⁹ mutant intestinal stem cells marked by GFP expression remained as single cells over an 8-day period, while wild-type clones showed increased cell numbers over the same timeframe . Additionally, chn mutant cells remain small, and Delta staining becomes undetectable within 2 days of clone induction . These observations indicate that charlatan is essential for stem cell maintenance and division in the Drosophila intestine.
For analyzing charlatan protein-DNA interactions, ChIP-seq (Chromatin Immunoprecipitation followed by sequencing) offers the most comprehensive approach. When implementing ChIP-seq for charlatan:
Use a GFP-tagged charlatan protein expressed at endogenous levels, which can be achieved using the fosmid-based tagging approach described by Sarov et al.
Optimize crosslinking conditions specifically for zinc-finger proteins (1-2% formaldehyde for 10-15 minutes)
Implement a two-step immunoprecipitation using anti-GFP antibodies for higher specificity
Include appropriate controls such as input DNA and IgG pulldowns
Perform peak calling using algorithms specifically designed for transcription factors (such as MACS2)
For validation of binding sites, employ electrophoretic mobility shift assays (EMSAs) using recombinant charlatan protein domains and candidate DNA sequences identified from ChIP-seq analysis.
Expressing and purifying functional recombinant charlatan protein requires specific considerations due to its zinc-finger domains and chromatin-interacting properties:
Expression system recommendations:
Use bacterial expression systems (E. coli BL21(DE3)) for isolated zinc-finger domains
For full-length protein, insect cell expression systems (Sf9 or High Five) provide better folding and post-translational modifications
Express at lower temperatures (16-18°C) to improve solubility
Include zinc supplements (100 μM ZnCl₂) in the growth medium to ensure proper folding of zinc-finger domains
Purification protocol:
Use a two-step chromatography approach: affinity chromatography (His-tag or GST-tag) followed by ion exchange chromatography
Include reducing agents (1-5 mM DTT or β-mercaptoethanol) throughout purification
Maintain zinc concentration (10-50 μM ZnCl₂) in all buffers
Verify protein functionality through DNA-binding assays before experimental use
The identification of charlatan protein interactors requires a combination of complementary techniques:
For interactome discovery:
Implement BioID or TurboID proximity labeling using charlatan as bait
Perform co-immunoprecipitation followed by mass spectrometry (Co-IP-MS) using GFP-tagged charlatan from transgenic flies, similar to the approach described for other Drosophila proteins by Sarov et al.
Yeast two-hybrid screening with specific domains of charlatan as bait
For validation of interactions:
Reciprocal co-immunoprecipitation experiments
Bimolecular Fluorescence Complementation (BiFC) in Drosophila S2 cells
Proximity Ligation Assay (PLA) in intact tissues
Genetic interaction tests using available mutants or RNAi lines
| Technique | Application | Advantages | Limitations |
|---|---|---|---|
| Co-IP-MS | Identify physiological interactions | Detects native complexes | May miss transient interactions |
| BioID/TurboID | Map proximity interactome | Captures transient interactions | Higher background |
| Y2H | Screen for direct interactions | High-throughput capability | Higher false positive rate |
| BiFC | Visualize interactions in cells | Spatial resolution | Irreversible complementation |
| PLA | Detect endogenous interactions | High sensitivity | Requires specific antibodies |
CRISPR-Cas9 provides powerful approaches for studying charlatan function in vivo:
For gene knockout studies:
Design at least 3 gRNAs targeting early exons shared among all splice variants
Include gRNAs targeting the zinc-finger domains for specific disruption of DNA binding
Implement inducible CRISPR systems (e.g., Gal4/UAS-driven Cas9) for tissue-specific or temporal control
For generating tagged variants:
Use homology-directed repair to introduce fluorescent tags (e.g., sGFP-V5-BLRP) similar to the approach used in the fly TransgeneOme library
Design repair templates with at least 1kb homology arms on each side
Include flexible linkers between charlatan and the tag to minimize functional interference
Verify tag insertion does not disrupt function through genetic complementation tests
For creating specific splice variant knockouts:
Target splice sites or exons unique to specific variants
Validate splice variant disruption using RT-PCR and sequencing
Monitor changes in protein isoform expression using isoform-specific antibodies
Several computational methods can be employed to predict charlatan target genes:
Motif analysis:
Identify enriched DNA motifs from ChIP-seq data using MEME, HOMER, or similar tools
Scan the Drosophila genome for occurrences of these motifs near transcription start sites
Integrative genomics:
Combine ChIP-seq binding data with RNA-seq expression data from charlatan mutants
Implement Gene Set Enrichment Analysis (GSEA) to identify biological pathways affected
Network analysis:
Construct gene regulatory networks centered on charlatan
Identify hub genes and key regulatory modules using algorithms like WGCNA
Comparative genomics:
Compare charlatan binding sites with conserved regions across Drosophila species
Identify evolutionarily conserved target genes, which are more likely to be functionally important
Machine learning approaches:
Train models using validated charlatan targets to predict new targets
Implement deep learning algorithms that integrate multiple data types (sequence, chromatin accessibility, etc.)
To investigate charlatan's role in chromatin modification:
ChIP-seq for histone modifications:
Perform ChIP-seq for activating (H3K4me3, H3K27ac) and repressive (H3K27me3, H3K9me3) histone marks in wild-type versus charlatan mutant tissues
Analyze changes in modification patterns at charlatan binding sites
ATAC-seq for chromatin accessibility:
Compare chromatin accessibility profiles between control and charlatan-depleted cells
Focus analysis on regions showing differential accessibility
CUT&RUN or CUT&Tag:
These techniques provide higher resolution mapping of charlatan binding sites and associated histone modifications
Require fewer cells than traditional ChIP, allowing analysis from small tissue samples
Hi-C or HiChIP:
Map 3D chromatin interactions influenced by charlatan
Identify long-range regulatory connections between charlatan binding sites and target genes
Single-cell approaches:
Implement scATAC-seq or scCUT&Tag to examine cell-type-specific effects of charlatan on chromatin
Particularly valuable for studying developmental contexts where cell populations are heterogeneous