Mono-methyl-HIST1H1C (K105) Antibody

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Description

Introduction to Mono-methyl-HIST1H1C (K105) Antibody

The Mono-methyl-HIST1H1C (K105) Antibody is a rabbit polyclonal antibody designed to detect mono-methylation at lysine 105 (K105) of the HIST1H1C protein, a member of the histone H1 family. Histone H1 proteins are critical for chromatin compaction and transcriptional regulation, with post-translational modifications like methylation playing roles in epigenetic signaling . This antibody serves as a specialized tool for studying site-specific histone modifications in human cells, particularly in cancer research and chromatin dynamics .

Applications in Research

The antibody is validated for use in multiple experimental workflows:

ApplicationRecommended DilutionKey Use Cases
Immunofluorescence (IF/ICC)1:20–1:200Visualizing nuclear histone H1.2 methylation in fixed cells .
ELISANot specifiedQuantifying mono-methyl-HIST1H1C levels in lysates .
Immunocytochemistry1:50–1:500Detecting chromatin-associated H1.2 modifications .

Role in Epigenetic Regulation

Histone H1 modifications, including methylation, influence chromatin structure and gene expression. While the antibody targets K105 methylation, studies on related residues (e.g., H1.4K85 methylation by WHSC1) demonstrate that such modifications enhance stemness in squamous cell carcinoma of the head and neck (SCCHN) . This suggests K105 methylation may similarly regulate oncogenic pathways or DNA damage responses .

Technical Validation

  • Specificity: Recognizes mono-methylated K105 without cross-reactivity to unmodified H1.2 or other histone variants .

  • Molecular Weight: Detects HIST1H1C at ~21 kDa (calculated) but may appear at 32–33 kDa due to post-translational modifications .

Limitations and Considerations

  • Species Restriction: Limited to human samples; cross-reactivity with other species untested .

  • Quantitative Use: Requires optimization for ELISA due to variable epitope accessibility in chromatin .

Future Directions

This antibody could advance studies on histone H1’s role in cancer epigenetics, particularly in SCCHN or other malignancies with dysregulated chromatin modifiers . Combining it with WHSC1 inhibitors may reveal therapeutic synergies targeting histone methylation pathways .

Product Specs

Buffer
Preservative: 0.03% ProClin 300
Components: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Orders are typically dispatched within 1-3 business days. Delivery times may vary depending on the shipping method and destination. Please contact your local distributor for precise delivery estimates.
Synonyms
Histone H1.2 (Histone H1c) (Histone H1d) (Histone H1s-1), HIST1H1C, H1F2
Target Names
Uniprot No.

Target Background

Function

Histone H1 proteins bind to linker DNA between nucleosomes, forming the chromatin fiber. These histones are crucial for condensing nucleosome chains into higher-order structures. Furthermore, they regulate individual gene transcription through chromatin remodeling, nucleosome spacing, and DNA methylation.

Gene References Into Functions

The following studies highlight the diverse roles of Histone H1:

  1. H1.2 enhances pRb's association with chromatin, strengthens its transcriptional repression, and facilitates pRb-dependent cell cycle arrest. (PMID: 28614707)
  2. BRG1 interacts with H1.2, aiding its deposition and stabilizing nucleosome positioning near transcription start sites, contributing to gene repression. (PMID: 27390128)
  3. H1.2 and H1.4 are present in MDA-MB-231 breast cancer cells. Phosphorylation of specific residues in these histones increases during M phase, suggesting cell cycle-dependent regulation. An H1.2 SNP variant (A18V) was also observed in MCF-10A cells. (PMID: 26209608)
  4. Linker histone isoforms may participate in apoptotic cascades through interactions with apoptotic intermediates via their C-terminal tails. (PMID: 24525734)
  5. H1.2-T165 post-translational modifications are not essential for chromatin binding or cell proliferation, unlike H1.4-K26 modifications which are crucial for cell cycle progression. (PMID: 24873882)
  6. H1.2 interacts with Cul4A and PAF1 to activate developmental regulatory genes. (PMID: 24360965)
  7. H1.2 is less abundant than other H1 variants at inactive gene transcription start sites; promoters enriched in H1.2 tend to be repressed. (PMID: 24476918)
  8. Mutations in HIST1H1 genes (B, C, D, E), OCT2 (POU2F2), IRF8, and ARID1A are implicated in follicular lymphoma pathogenesis. (PMID: 24435047)
  9. A p53 acetylation-H1.2 phosphorylation cascade triggers p53-dependent DNA damage responses. (PMID: 22249259)
  10. Histone H1 isoforms exhibit N-terminal acetylation and phosphorylation sites containing cyclin-dependent kinase (CDK) consensus motifs. (PMID: 15595731)
  11. Histone H1's binding to amyloid-like motifs suggests a role in amyloid-related diseases. (PMID: 16854430)
  12. Bleomycin treatment causes H1.2 translocation from the nucleus to mitochondria, co-localizing with Bak. (PMID: 17879944)
  13. YB1, PURalpha, and H1.2 recruitment to the p53 target gene Bax is necessary for repressing p53-induced transcription. (PMID: 18258596)
Database Links

HGNC: 4716

OMIM: 142710

KEGG: hsa:3006

STRING: 9606.ENSP00000339566

UniGene: Hs.7644

Protein Families
Histone H1/H5 family
Subcellular Location
Nucleus. Chromosome. Note=Mainly localizes in euchromatin. Distribution goes in parallel with DNA concentration.

Q&A

What is Histone H1.2 (HIST1H1C) and what are its functional roles in chromatin organization?

Histone H1.2, encoded by the HIST1H1C gene, is a linker histone that binds to linker DNA between nucleosomes, forming the macromolecular structure known as the chromatin fiber. This protein plays essential roles in the condensation of nucleosome chains into higher-order structured fibers. Beyond its structural function, H1.2 acts as a regulator of individual gene transcription through chromatin remodeling, nucleosome spacing, and DNA methylation mechanisms .

The distribution of histone H1 throughout the genome is not uniform. Active and poised gene promoters are characterized by reduced histone H1 levels, while inactive genes and heterochromatin regions are enriched with H1. This differential distribution contributes significantly to gene expression regulation and heterochromatin maintenance . H1.2 is one of at least 11 H1 variants in mammals, with specific variants showing tissue-specific and developmental stage-specific expression patterns.

What is the significance of K105 monomethylation in HIST1H1C?

K105 monomethylation represents a specific post-translational modification of histone H1.2 that likely affects its function in chromatin organization and gene regulation. While direct research on K105 methylation is still emerging, related studies on histone H1 methylation provide valuable insights. For instance, monomethylation of H1.4 at lysine 85 (K85) by the methyltransferase WHSC1 enhances stemness features in cancer cells and promotes transcriptional activation of OCT4 .

By extrapolation, K105 monomethylation of HIST1H1C likely plays regulatory roles in:

  • Modulating chromatin accessibility at specific genomic loci

  • Facilitating interactions with transcriptional regulators

  • Potentially influencing cellular differentiation programs

  • Contributing to oncogenic or tumor-suppressive mechanisms in various cancer types

The specific lysine position (K105) suggests a unique functional role that may differ from other histone modifications, making it an important target for epigenetic research.

What are the primary applications of Mono-methyl-HIST1H1C (K105) antibody in epigenetic research?

The Mono-methyl-HIST1H1C (K105) antibody serves as a powerful tool for investigating this specific histone modification across multiple experimental platforms:

ApplicationRecommended DilutionKey BenefitsResearch Context
ELISAAs specified by manufacturerQuantitative detectionMeasuring modification levels across samples
Immunofluorescence (IF)1:1-1:10Cellular localizationVisualizing nuclear distribution patterns
Western Blotting1:500 (based on related antibodies)Protein-level detectionQuantifying modification across conditions
ChIP/ChIP-seqOptimization requiredGenome-wide mappingIdentifying genomic targets

This antibody recognizes the peptide sequence surrounding the mono-methylated K105 site in human HIST1H1C, making it highly specific for this modification . For immunofluorescence applications, the recommended dilution range is 1:1-1:10, indicating the need for relatively concentrated antibody solutions to detect this modification effectively.

How does histone H1 methylation differ from core histone modifications?

While both linker histone H1 and core histone modifications affect chromatin structure and function, several key differences exist:

  • Structural context: H1 methylation occurs on the linker histone that sits outside the nucleosome core, potentially affecting higher-order chromatin folding rather than direct DNA-histone interactions within the nucleosome.

  • Functional outcomes: Research on H1.4K85 monomethylation indicates it can promote transcriptional activation and stemness features in cancer cells , suggesting functions that may complement or counterbalance those of core histone modifications.

  • Regulatory mechanisms: The enzymes responsible for H1 methylation may differ from those modifying core histones. For instance, WHSC1, primarily known for H3K36 di-methylation, also mono-methylates H1.4 at K85 .

  • Genomic distribution: H1 variants show non-uniform distribution throughout the genome, with depleted levels at active promoters and enriched presence at inactive genes and heterochromatin , creating distinct modification landscapes.

  • Biological significance: Alterations in histone H1 content can lead to genome-wide replication initiation pattern changes and replication-transcription conflicts , highlighting unique roles compared to core histone modifications.

What techniques are commonly used to detect histone H1.2 monomethylation?

Multiple complementary techniques can be employed to detect and characterize H1.2 monomethylation:

TechniqueApplicationStrengthsLimitations
ImmunoblottingProtein level detectionQuantitative; detects modification in bulk samplesLimited spatial information
ImmunofluorescenceCellular localizationVisualizes nuclear distributionLimited quantification
ChIP/ChIP-seqGenomic mappingIdentifies target genes and regulatory regionsRequires optimization for linker histones
Mass SpectrometryPTM identificationDefinitively identifies modifications and their precise locationsRequires specialized equipment
In vitro methyltransferase assaysEnzymatic activityIdentifies responsible enzymesMay not reflect in vivo conditions

For generating robust data, researchers typically combine multiple approaches. For instance, the identification of WHSC1 as a H1 methyltransferase involved initial protein interaction studies using immunoprecipitation followed by mass spectrometry, with subsequent confirmation through in vitro methyltransferase assays and the development of modification-specific antibodies .

How can researchers optimize ChIP protocols specifically for Mono-methyl-HIST1H1C (K105) detection?

Optimizing ChIP protocols for Mono-methyl-HIST1H1C (K105) detection requires careful consideration of linker histone dynamics and modification-specific challenges:

Protocol Optimization Strategy

ParameterStandard ApproachOptimized Approach for H1.2K105me1Rationale
Crosslinking1% formaldehyde, 10 min1% formaldehyde, 5-8 minPrevent over-crosslinking that could mask epitopes
Sonication200-500bp fragments150-300bp fragmentsImproved resolution for linker histone binding sites
Antibody concentrationStandard dilutionsHigher concentration (1:1-1:10)Ensuring sufficient capture of the specific modification
BlockingStandard blockingAdditional BSA (0.5-1%)Reducing background signal
ControlsIgG controlIgG control + unmodified H1.2 + other H1 variantsEnsuring specificity against related proteins
Elution conditionsStandard elutionOptimized for specific antibodyMaximizing recovery of bound material

For ChIP-seq applications specifically targeting chromatin regions with H1.2K105 monomethylation, researchers should consider:

  • Increasing sequencing depth to at least 30 million reads to capture potentially sparse signals

  • Using spike-in controls for normalization

  • Implementing specialized peak calling algorithms that account for the broader distribution patterns of linker histones

Additionally, designing primers for three different regions of the human HIST1H1C promoter ranging from -2000bp to the transcription start site can help validate ChIP-qPCR results, similar to approaches used in H1C promoter studies .

What are the challenges in distinguishing between different histone H1 variants when studying methylation patterns?

Distinguishing between histone H1 variants presents several technical and biological challenges:

Technical Challenges

  • Antibody cross-reactivity: High sequence homology between H1 variants (particularly H1.2-H1.5) makes generating truly variant-specific antibodies difficult.

  • Similar biochemical properties: H1 variants have similar molecular weights and charge distributions, complicating separation by standard techniques.

  • Modification site conservation: Some modification sites may be conserved across variants, making it challenging to attribute a specific function to one variant.

Biological Complexities

  • Functional redundancy: Knockout studies have shown that elimination of three H1 subtypes was required to reach 50% of normal H1 levels and cause embryonic lethality in mice, suggesting functional overlap .

  • Context-dependent functions: The same H1 variant may have different functions depending on cell type, developmental stage, or disease state.

Recommended Approaches

ChallengeMethodological SolutionImplementation
Antibody specificityEpitope mapping and validationTest against multiple variants; peptide competition assays
Variant identificationMass spectrometryUse top-down proteomics to analyze intact histones with modifications
Genomic distributionChIP-seq with variant-specific antibodiesCompare binding profiles across variants
Functional redundancyCombinatorial knockout approachesSequential or simultaneous targeting of multiple variants
Bioinformatic analysisVariant-specific motif identificationComputational prediction of variant-specific binding sites

The combination of these approaches provides a more comprehensive understanding of variant-specific roles in chromatin regulation.

Experimental Approach for Investigating K105me1 in Cancer

Experimental StrategyMethodological ApproachExpected Outcomes
Genomic profilingChIP-seq for K105me1 in cancer vs. normalIdentification of differentially modified regions
Transcriptome analysisRNA-seq integrated with ChIP-seqCorrelation between modification and expression changes
Functional studiesCRISPR-engineered K105A/R mutationsPhenotypic consequences of preventing methylation
Sphere formation assaysWild-type vs. K105-mutant cellsAssessment of cancer stemness properties
Cancer progression modelsK105me1 profiling across stagesPotential prognostic value of the modification

For robust experimental design, researchers should consider creating cellular models similar to those described for H1.4K85 studies, where wild-type HIST1H1C and a K105A mutant (preventing methylation) are compared for their effects on cancer cell phenotypes . This approach would allow direct assessment of how this specific modification influences cancer-related properties like proliferation, sphere formation capability, and expression of stemness markers.

What are the known methyltransferases responsible for K105 methylation of HIST1H1C and how do they compare to WHSC1?

While the specific methyltransferase responsible for K105 methylation of HIST1H1C has not been definitively identified in the search results, the identification of WHSC1 as the enzyme responsible for H1.4K85 monomethylation provides a valuable research model .

Candidate Methyltransferases and Investigation Approaches

ApproachMethodologyAnalytical Considerations
Sequence analysisCompare sequences surrounding K105 and K85Identify conserved motifs that might be recognized by the same enzyme
Protein interaction studiesCo-immunoprecipitation followed by mass spectrometryIdentify proteins that interact with regions containing K105
In vitro methyltransferase assaysRecombinant enzymes with HIST1H1C substratesTest WHSC1 and other known histone methyltransferases
CRISPR knockout screensTarget known methyltransferasesAssess effects on K105 methylation levels
Domain analysisExamine SET domains of candidate enzymesPredict substrate specificity based on structure

WHSC1 (also known as NSD2/MMSET) was previously characterized as an H3K36 di-methyltransferase before its H1.4K85 mono-methylation activity was discovered . This suggests that other known histone methyltransferases may have uncharacterized activities toward linker histones. The discovery approach for K105 methyltransferases should mirror that used for H1.4K85, including immunoprecipitation, mass spectrometry, and in vitro validation.

What are the best experimental designs to study the functional consequences of HIST1H1C K105 monomethylation in cellular models?

Based on successful approaches in related histone modification studies, the following experimental design would be optimal:

Comprehensive Experimental Design Framework

Experimental PhaseMethodological ApproachKey Considerations
Genetic EngineeringCRISPR/Cas9-mediated K105A/R mutationsGenerate isogenic cell lines differing only at K105
Rescue ExperimentsRe-express wild-type or mutant HIST1H1CConfirm specificity of observed phenotypes
Genomic ProfilingChIP-seq for modified vs. unmodifiedMap genomic distribution of the modification
Transcriptome AnalysisRNA-seq of wild-type vs. mutant cellsIdentify differentially expressed genes
Chromatin AccessibilityATAC-seq analysisDetermine effects on chromatin structure
Cellular PhenotypingProliferation, migration, sphere formationAssess functional consequences
Higher-order StructureHi-C or similar techniquesExamine 3D genome organization changes

For detecting subtle phenotypes, researchers should employ:

  • Time-course experiments to capture dynamic changes

  • Stress conditions to reveal context-dependent functions

  • Multiple cell types to assess tissue-specific effects

  • Developmental models to examine stage-specific roles

This comprehensive approach mirrors successful studies of H1.4K85 methylation, where sphere formation assays revealed higher sphere numbers in cells expressing wild-type H1.4 compared to those with K85A mutations . Similar assays would likely detect functional consequences of HIST1H1C K105 methylation.

How can researchers interpret contradictory results between histone H1 methylation patterns in different cancer types?

Interpreting contradictory results regarding histone H1 methylation across cancer types requires careful consideration of biological and technical factors:

Framework for Resolving Contradictory Findings

FactorAnalytical ApproachImplementation Strategy
Tissue-specific contextTCGA data analysisCompare H1 variant expression across cancer types
Cell-type heterogeneitySingle-cell approachesResolve population-level differences
Methodological differencesStandardized protocolsControl for technical variables across studies
Biological redundancyMulti-omics integrationConsider compensatory mechanisms
Cancer stageStratified analysisCompare early vs. late stage samples
Genetic backgroundMutation burden analysisCorrelate with driver mutation status

Researchers should consider that different H1 variants may play distinct roles across cancer types. For example, while H1.2 promotes hepatocarcinogenesis , other variants might have different functions in other cancers. Analysis should incorporate:

  • Multi-dimensional data integration combining:

    • ChIP-seq for histone modifications

    • RNA-seq for expression profiles

    • Mutation data for genetic context

    • Clinical outcomes for relevance

  • Computational approaches to identify complex patterns, such as:

    • Machine learning for pattern recognition

    • Network analysis for functional connections

    • Causal inference methods for mechanism identification

This integrated approach can help reconcile apparently contradictory findings by identifying context-specific factors that modulate histone H1 modification functions.

What are the latest methodological advances in studying the interplay between histone H1 variants and their post-translational modifications?

Recent methodological advances have significantly enhanced our ability to study histone H1 variants and their modifications:

Cutting-Edge Methodological Approaches

Technology AreaAdvanced TechniqueApplication to H1 Modification Research
GenomicsCUT&RUN/CUT&TagHigher resolution mapping of H1 variant distribution
ProteomicsTop-down mass spectrometryAnalysis of intact histones with combinatorial modifications
MicroscopyLive-cell super-resolution imagingDynamic visualization of H1 variants in chromatin
Genetic EngineeringPrime editing/base editingPrecise modification of endogenous H1 genes
Structural BiologyCryo-EM of nucleosome arraysVisualization of H1-dependent higher-order structures
Biophysical AnalysisSingle-molecule approachesReal-time dynamics of H1 binding/dissociation

For studies specifically focused on H1.2 K105 monomethylation, researchers could apply these advances through:

  • Developing engineered antibody fragments (Fabs) specific to K105me1 for CUT&RUN experiments, providing higher resolution mapping than traditional ChIP-seq

  • Employing proximity labeling methods (e.g., APEX2) fused to H1.2 to identify proteins that specifically interact with the methylated form

  • Utilizing nucleosome reconstitution systems with modified H1.2 to examine structural consequences in vitro

  • Applying nascent RNA sequencing approaches to correlate modification patterns with transcriptional dynamics

These methodological advances enable more precise interrogation of the functional consequences of specific H1 modifications in diverse biological contexts.

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