Abstract
Microscopy approaches are frequently used to decipher the localization and quantify the abundance of biologically relevant molecular targets within single cells. Recent research has applied many optical imaging techniques to specifically visualize epigenetic modifications, the mechanisms by which organisms control gene expression in response to environmental factors. While many molecular and omics-based approaches are used to understand epigenetic mechanisms, imaging approaches provide spatial information that supplies greater context for discerning function. Thus, labeling approaches have been developed to quantify and visualize epigenetic targets using various fluorescence microscopy, electron microscopy, and super-resolution microscopy techniques. Here, we synthesize information about microscopy methods that enable visualization of epigenetic marks including DNA methylation, histone modifications, and localization of RNAs, which provide insights into mechanisms involved in chromatin remodeling and gene expression. The ability to determine how and where specific epigenetic marks manifest structurally and functionally in cells demonstrates the power of microscopy in aiding our understanding of epigenetic processes.
Keywords: epigenetics, fluorescence imaging, histone modifications, imaging
Introduction
First developed in the 16th century, microscopy has since been used to examine the morphological features and miniscule structures of biological samples (Wills, 2018). Transmitted light microscopy was the first and most simple technique created, whereby a sample illuminated by a transmitted beam of light is magnified through a glass lens (Holgate & Webb, 2003). Following the advancement of transmitted light microscopy, numerous microscopy developments have improved resolution, contrast, and image quality. The most notable of these developments being fluorescence-based microscopy techniques as well as electron microscopy (EM), which uses a beam of electrons for illumination instead of light (Fig. 1). Transmitted light, fluorescence, electron, and other forms of microscopy within these umbrella terms have been leveraged to examine countless targets across biology, biochemistry, and other fields within the life sciences.
Fig. 1.
Graphical representation of microscopy techniques with applications to visualize epigenetic targets. Bolded and enlarged techniques are discussed in this review. Super-resolution methods can be adapted from widefield, confocal, or total internal reflection (TIRF) microscope systems (Lelek et al., 2021). Types of FM techniques listed are from Wang and Lai (2021) and Thorn (2016), and types of SRM from Lelek et al. (2021).
Only now, with the recent surge in epigenetics “hype” (Deichmann, 2016), have these microscopy techniques been applied in an attempt to visualize epigenetics (Weinhold, 2006). There are three different epigenetic targets or “marks” that regulate aspects of chromatin structure and transcription initiation (Casadesús & Noyer-Weidner, 2013). The first is DNA methylation, an epigenetic mark that causes negative regulation of gene expression by inhibiting transcription and promoting chromatin condensation (Moore et al., 2013). The second is histone modifications, which are chemical changes that can either promote or inhibit gene expression by reversibly altering the proteins around which DNA wraps to form chromatin (Mariño-Ramírez et al., 2005). The third is RNAs (mRNAs, lncRNAS, rRNA, etc.), gene products that determine protein production or are functional otherwise (non-protein-coding) and play a crucial regulatory role in gene expression and genome organization (Morris & Mattick, 2014).
These epigenetic marks and the mechanisms associated with them have been predominantly studied via next generation sequencing techniques. For example, (1) bisulfite sequencing (Bi-seq), methylated DNA immunoprecipitation sequencing (MeDIP-seq), and methylation-sensitive restriction enzyme sequencing (MRE-seq) are used to sequence DNA methylation, (2) chromatin immunoprecipitation sequencing (ChIP-seq) detects histone modifications, and (3) RNA sequencing methods can be modified to detect long non-coding RNAs (lncRNAs) and other RNAs (Table 1; Bell & Spector, 2011). While these techniques may be helpful in understanding the global abundance and variation of epigenetic marks, they provide little information about the spatial distribution of epigenetic targets along DNA or their localization in relation to chromatin and other structures. By employing microscopy, both the abundance and spatial location of epigenetic marks can be detected to further characterize their structure and function.
Table 1.
Overview of Different Types of Sequencing and Microscopy/Labeling Techniques to Visualize DNA Methylation, Histone Modifications, and RNAs.
| Epigenetic Mark | Sequencing Techniques (Bell & Spector, 2011) | Microscopy/Labeling Techniques |
|---|---|---|
| DNA methylation | Bi-seq, MeDIP-seq, MRE-seq | EM immunolabeling, methylation-specific FISH, EVA, spatial omics, methyl-CpG-binding domain (MBD)-based sensors |
| Histone modifications | ChIP-seq | FLIM, FRET, FCS, SRM, ISH-PLA, EVA, spatial omics, spatial-CUT&Tag, histone modification reader domain (HMRD)-based sensors |
| RNAs | RNA-seq, lncRNA-seq | FISH, RNA-FISH, smFISH, M-FISH, EM-ISH, SRM, EM immunolabeling, spatial omics, ExFISH |
In this review, we examine how chemical probes, fluorescence microscopy (FM), EM, and other approaches are employed to visualize DNA methylation, histone modifications, and RNAs. Specifically, we exemplify how visualizing these epigenetic targets helps to elucidate their role in epigenetic mechanisms (e.g., chromatin remodeling and gene expression). Microscopy techniques are versatile, provide more information than current sequencing-based techniques alone, and enable epigenetic processes to be visualized by illuminating the epigenetic marks involved in genome organization and gene expression.
Epigenetic Marks in Relation to Chromatin Structure
Epigenetic marks are largely responsible for chromatin remodeling mechanisms, which play critical roles in the regulation of all genes. More specifically, DNA methylation and histone acetylation status contribute to the condensation or expansion of chromatin (Albini et al., 2019). Visualizing DNA methylation and histone modifications in relation to chromatin structure is necessary for determining mechanisms of action and confirming or challenging already preconceived functions. For example, Masiello and Biggiogera (2017) characterize DNA methylation using EM by showing the distribution of methylation patterns in relation to chromatin structure. To visualize the ultrastructural localization of 5-methylcytosine (5mC) on DNA using TEM, they used immunolabeling with an anti-5mC antibody, a 6-nm gold-conjugated secondary antibody, along with stains for nucleic acids (Masiello & Biggiogera, 2017). Masiello and Biggiogera (2017) hypothesized that they would find more gold particles associated with regions of highly condensed chromatin near the nuclear envelope, as it is generally understood that DNA methylation promotes chromatin condensation. However, their findings show a greater abundance of gold antibodies toward the edge of the heterochromatin with concentration decreasing gradually approaching the nuclear envelope (Masiello & Biggiogera, 2017). This contradicts the implications of the known function of 5mC (i.e., that heterochromatin is more methylated) and suggests that more research is needed to confirm the role of 5mC and its associations with chromatin structure.
One possible explanation for this pattern is that as chromatin becomes more and more condensed, it is harder for the anti-5mC antibody to access the 5mC sites, which could result in reduced or no staining. If this is the case, then new EM labeling techniques aside from immunolabeling need to be developed in order to gain a more accurate approach. Despite this, this initial protocol highlights the potential of using EM to investigate the relationship between chromatin structure, DNA methylation, and other molecular interactions involved in chromatin organization.
Smiliarly, visualizing the localization of histone modifications in relation to chromatin structure can reveal the function of specific modifications, which is particularly useful for studying epigenetic changes throughout an organism's life or during key cellular events such as meiotic recombination. Prakash et al. (2015) exemplify this by capturing the first-ever single-molecule resolution images of histone modifications and chromatin in pachytene chromosomes that form the synaptonemal complex (SC) to examine if certain histone modifications are associated with meiotic recombination. They use super-resolution microscopy (SRM), a technique in which the diffraction barrier is reduced to acheive enhanced resolution compared to widefield fluorescence (Fig. 2a and 2b) (Schermelleh et al., 2019). Prakash et al. (2015) apply a subtechnique called single-molecule localization microscopy (SMLM), which involves computational rendering of an image after single-molecule detection and localization (Lelek et al., 2021). In this study, they used DNA dyes and fluorescently tagged antibodies targeting three specific histone modifications: the trimethylation of histone H3 at Lys 4 (H3K4me3), the trimethylation of histone H3 at Lys 27 (H3K27me3), and the trimethylation of histone H3 at Lys 9 (H3K9me3; Prakash et al., 2015). H3K4me3 is associated with recombination sites, and H3K27me3 and H3K9me3 are associated with depleted recombination sites (Prakash et al., 2015). Using these staining and microscopy techniques, Prakash et al. (2015) were able to decipher the locations of these histone modifications along pachytene chromosomes and found that they had distinct structural patterns along the SC (Prakash et al., 2015). H3K4me3 was found to extend outward in loop structures from the SC, H3K27me3 was found in period clusters along the SC, and H3K9me3 was associated with the centromeric region at the end of the chromosome (Fig. 2c; Prakash et al., 2015).
Fig. 2.
Visualization of histone modifications (H3K4me3) using widefield FM versus super-resolution SMLM and proposed histone modification patterns found along pachytene chromosomes forming the SC. A widefield fluorescence image of the SC with the lateral element of the SC, SYCP3, and the histone modification H3K4me3 staining (a). A SMLM image depicting the same staining with increased resolution (b). The patterns of histone modifications H3K4me3, H3K27me3, and H3K9me3 overlaid with DNA found along the SC (c). Adapted from Fig. 5 and 6 in Prakash et al. (2015) with permission.
Altogether, Prakash et al. (2015) were able to describe the structure of pachytene chromosomes as characterized by epigenetic marks on chromatin during meiotic recombination. The unique spatial information gained from the use of fluorescent SMLM helped further define the function of these histone modifications. For example, H3K27me3 was found periodically and symmetrically on either side of the SC, which suggests that it could be associated with specific parts of the genome, or is integral to supporting the structure of the SC itself (Prakash et al., 2015). This demonstrates how visualizing localization and distribution helps to discern the function of specific histone modifications or other epigenetic marks during cellular events.
Another relevant tool for analyzing chromatin structure is fluorescence lifetime imaging coupled with Förster resonance energy transfer (FLIM-FRET). FRET is a mechanism in which one fluorophore transfers energy to a different fluorophore without emitting a photon (Shrestha et al., 2015). Since this phenomenon is distance dependent, FRET efficiency can be used to probe the proximity of two fluorophores (Liu and Irudayaraj, 2019). This is extremely useful for studying the condensation state of chromatin, as FRET efficiency will be greater in highly condensed heterochromatin and lower in loose euchromatin. FLIM microscopy is one method that can be used to calculate FRET efficiency as a means of investigating chromatin architecture. For example, Levchenko et al. (2021), Lou et al. (2019), and Zhang et al. (2021) use FLIM-FRET to measure DNA compaction, gene activity, and chromatin changes as a result of stimuli (e.g., double-stranded breaks, drugs, etc.).
Another useful method for investigating molecular machinery involved in chromatin remodeling and gene expression is fluorescence correlation spectroscopy (FCS), a biophysical technique used to measure fluorescence intensity changes caused by molecular interactions (Macháň & Wohland, 2014). FCS is primarily employed to analyze diffusion, kinetics, and binding events, making it particularly valuable in the field of epigenetics (Elson, 2011). Specifically, FCS can be used for studying protein–protein interactions, chromatin organization, chromatin binding, and protein–DNA interactions (Macháň & Wohland, 2014). Cui et al. (2013) highlight the capacity of FCS to study epigenetics through their use of the technique to probe interactions between methylated DNA and methyl-CpG-binding domain protein 3 (MBD3), a protein that maintains gene repression by binding to methylated DNA. The first study to examine these dynamics at single-molecule sensitivity in live cells, Cui et al. (2013) demonstrate that during hypoxia (stress), the MBD3 proteins detach from methylated DNA, allowing DNA demethylation to occur, eventually leading to cell death. The ability to closely analyze specific protein and DNA interactions using FCS or other techniques is relevant for applications within epigenetics.
Gene Expression
Epigenetic processes regulate gene expression, and therefore, imaging RNAs provides a direct method to measure the genes being expressed in response to epigenetic changes or other cellular events. The visualization of specific RNAs can highlight what genes are being expressed, elucidate the role of non-protein coding RNAs, and illustrate how exposure to environmental factors might alter expression. RNAs are commonly labeled using in situ hybridization (ISH), in which complementary aptamers are annealed to target sequences (Table 2). For example, fluorescence in situ hybridization (FISH), a technique that visualizes a target nucleic acid sequence by hybridizing a fluorescently labeled complementary strand, is widely applied (Shakoori, 2017). RNAs, specifically, can be labeled via RNA-FISH, where the fluorescently labeled complementary DNA or RNA oligonucleotide strand is hybridized to a target RNA sequence (Chen et al., 2015; Young et al., 2020). RNA-FISH has also been used to image functional lncRNAs and other RNAs, which are known to play an important role in epigenetic processes such as chromatin remodeling and transcription regulation (Kaikkonen et al., 2011). When RNA-FISH is coupled with other immunofluorescent markers and DNA stains, the co-localization and abundance of epigenetic markers can reveal unknown functions (Baker, 2012; Hinten et al., 2016).
Table 2.
Summary of ISH Techniques to Visualize Epigenetic Targets.
| Technique | Molecular Target(s) | Types of Microscopy | Source |
|---|---|---|---|
| FISH | DNA | FM, SRM | Shakoori 2017 |
| RNA-FISH | RNA; mRNA, lncRNA | FM, SRM, ExM | Young et al., 2020 |
| Single-molecule FISH (smFISH) | RNA; mRNA, lncRNA, viral RNA genomes, rRNA | FM, SRM, ExM | Haimovich and Gerst (2018) |
| Multiplex FISH (M-FISH) | DNAs, RNAs | FM, SRM, ExM | Shakoori (2017) |
| Electron microscopy-ISH (EM-ISH) | DNA, RNA | EM | Cmarko and Koberna (2007) |
| Methylation-specific FISH (MeFISH) | DNA methylation | FM, SRM | Li et al. (2013) |
| ISH-proximity ligation assay (ISH-PLA) | Histone modifications | FM, SRM | Gomez et al. (2013) |
| Epigenetic visualization assay (EVA) | DNA methylation, histone modifications | FM, SRM | Kint et al. (2021) |
| Expansion FISH (Ex-FISH) | RNA; mRNA, lncRNA | FM, SRM, ExM | Chen et al. (2016) |
RNA-FISH is especially useful in quantifying the presence of gene products among samples that lack robust reference genomes or genes that have low enough expression that they are hard to detect using transcriptomic methods (Tekle et al., 2020). Tekle et al. (2020) use this advantage of RNA-FISH to visualize meiosis-specific gene transcripts in order to characterize the sexual development of Cochliopodium minus, an amoeba in the Amoebozoa clade. Genetic studies have observed that all studied lineages of Amoebozoa possess sex-related genes including meiosis-specific genes (Tekle et al, 2017, 2020). However, sex has only been observed in a small number of Amoebozoa species, indicating that some species may not have observable sexual stages (Tekle et al., 2020). To examine the sexual development of Cochliopodium, Tekle et al. (2020) use RNA-FISH for some of the meiosis-specific gene mRNA transcripts including Pch2, Dmc1, Mer3, and Kem1. They saw that many of the meiosis-specific genes, and most prominently, Pch2, were among upregulated genes in fused cells (Fig. 3). Based on this association, they were able to conclude that cellular fusion is a sexual stage in Cochliopodium (Tekle et al., 2020). This is particularly interesting because Pch2 was not among the differentially expressed genes in their analyses even though the Pch2 RNAs localized specifically in fused cells (with increased prevalence and intensity of signal), demonstrating that meiosis was likely occurring at fusion (Tekle et al., 2020). RNA-FISH can also be used to measure the expression of RNAs associated with epigenetic modifications (e.g., during development or following environmental stressors). For example, Yue et al. (2014) use RNA-FISH to visualize the Xist lncRNA involved in epigenetic regulation of X-chromosome inactivation in mammals.
Fig. 3.
Unpublished confocal images of Cochliopodium cells labeled with a Pch2 RNA-FISH probe (red) and a DNA stain (blue). Pch2 has greater expression in cells undergoing fusion. Nuclei in unfused cells are ~6 µm. Images from study by Tekle et al. (2020) with permission.
Along with RNA-FISH, other types of FISH can be applied to visualize candidate epigenetic genes (mRNA transcripts and epigenetic regulatory RNAs), one of which being single-molecule FISH (smFISH). smFISH uses up to 48 fluorescent oligonucleotides, which all bind to the same RNA target molecule (Shakoori, 2017). Using multiple fluorescent probes for the same target allows for reduced noise and amplified signal of RNAs that may be expressed at low rates (Pichon et al., 2018). smFISH samples can also be imaged using super-resolution microscopes to achieve greater resolution, which is necessary for examining highly concentrated RNAs (Pichon et al., 2018). Moreover, smFISH has been adapted to simultaneously visualize multiple RNA targets in the same sample using different fluorophores, a technique known as multiplex FISH (M-FISH) (Shakoori, 2017). M-FISH is a valuable ttechnique for investigating epigenetic changes because, often, there are a number of RNAs and epigenetic marks involved in expression changes.
Another challenge is that many RNAs occur at high concentrations and exist in complex environments, which requires enhanced resolution to discern precise spatial organization. In this case, increased resolution can be achieved by using expansion microscopy (ExM), a technique in which samples are physically expanded via hydrogel swelling (Cho et al., 2018). For even greater resolution, there is also some evidence that RNA can be visualized using EM after staining with terbium citrate as proposed by Biggiogera and Masiello (2017), which would also provide relevant data regarding gene expression. Electron microscopy in situ hybridization (EM-ISH) is also an option to track DNA or RNA sequences at high resolution using TEM or SEM (Cmarko & Koberna, 2007).
Another important factor for analyzing gene expression is investigating RNA–protein interactions, which can be explored using stimulated emission depletion (STED) microscopy to map nuclear proteins (Sarmento et al., 2018). This is done by performing super-resolution STED microscopy on nuclei that have both RNA labeling and protein immunofluorescence staining to examine colocalizations (Dumbović et al., 2021). For example, Dumbović et al. (2021) use this approach to analyze lncRNA–protein aggregation and its possible function and downstream affects on cancer. Probing RNA–protein interactions using STED enables greater understanding of subnuclear structure–function relationships involved in gene expression and epigenetic processes.
Gene and Sequence Specificity
Microscopy techniques allow for the examination of epigenetic marks at specific genomic locations with gene- or sequence-level resolution. This includes exclusively imaging DNA methylation patterns of specific genes and satellite repeat regions, or as mentioned previously, the labeling of only target RNAs via FISH. This is relevant because the abundance of epigenetic marks, such as DNA methylation at specific loci, can be associated with certain diseases or predispositions, whereas many sequencing-based techniques only provide global- or population-level information.
Several chemical probe labeling techniques provide greater specificity, enabling the characterization of epigenetic marks along a particular chain of nucleotides. One such approach is methylation-specific FISH (MeFISH), a method proposed by Li et al. (2013) to visualize DNA methylation patterns on specific satellite repeat sequences. The methylation of satellite repeat regions contributes to the formation of heterochromatin and chromosome structures (Shatskikh et al., 2020). Furthermore, hyper- or hypomethylation of certain satellite repeat regions can occur as a result of environmental factors and is associated with specific cancerous, neurodegenerative, psychiatric, and autoimmune diseases (Pogribny & Beland, 2009).
In the development of MeFISH, Li et al. (2013) create “ICON” probes by combining the typical FISH method (i.e., fluorescently labeled complementary sequences) with bipyridine-containing nucleic acids that only bind to 5mC when treated with osmium. Fluorescently labeled ICON probes are hybridized to satellite repeat regions of DNA, and then, the sample undergoes crosslinking with osmium and denaturing, leaving behind only the methylated (5mC) and hydroxymethylated (5hmC) forms of cytosine (Fig. 4; Li et al., 2013). Specificity toward both 5mC and 5hmC is useful in the case when you expect a particular methylation/hydroxymethylation status and can confirm with antibodies for the two targets (Li et al., 2013). Sequence-specific labeling approaches are powerful because they allow for the methylation of specific DNA sequences to be detected in comparison with all of the DNA in a cell or chromosome.
Fig. 4.
MeFISH procedure depicting labeling of DNA methylation and hydroxymethylation using ICON probes. The probes are first hybridized to target satellite repeat sequences and following washes, only probes bound to cytosine are left. Then, the sample undergoes crosslinking with osmium, binding the ICON probes to methylated cytosines (5mC) and hydroxymethylated cytosine (5hmC). The probes are then denatured and only probes bound to 5mC and 5hmC remain. Figure from Li et al. (2013).
More recently, there have also been advances in fluorescence imaging of gene-specific epigenetic markers using in situ hybridization–proximity ligation assays (ISH-PLAs) and epigenetic visualization assays (EVAs) (Cui & Irudayaraj, 2017; Kint et al., 2021). Gomez et al. (2013) describe the first-ever visualization of histone modifications at specific gene loci within single cells using ISH-PLA. ISH-PLA consists of a combination of in situ hybridization and proximity ligation assays, which are frequently used to detect and quantify proteins, protein–protein interactions, and protein modifications (Faron-Górecka et al., 2019). Visualizing histone modifications at specific gene loci is useful in order to determine their role in epigenetic events.
The EVA, developed by Kint et al. (2021), also achieves visualizations of the epigenetic marks of individual gene alleles within a single cell. This method utilizes both a 5′ phosphorylated oligonucleotide labeled with two fluorescent tags that binds to a target gene sequence and an alkaline phosphatase-linked antibody that binds to the specific epigenetic mark (Fig. 5; Kint et al., 2021). If the epigenetic mark is present at the target gene, then the alkaline phosphatase will remove the phosphate group from the probe leaving the two fluorescent tags intact (Kint et al., 2021). Then, the sample is treated with λ-exonuclease, an enzyme that degrades phosphorylated double-stranded DNA, and the probes with the epigenetic mark will remain untouched, while the probes bound to the gene lacking the epigenetic mark will have one fluorescent tag removed (Kint et al., 2021). The signal of each fluorophore can then be quantified to determine the density of epigenetic marks (Kint et al., 2021). This approach is particularly beneficial because it can be done alongside RNA-FISH displaying the relationship between epigenetic states and gene transcription (Kint et al., 2021). The EVA, ISH-PLA, and MeFISH methods demonstrate the versatility of microscopy techniques through their capability of examining both global populations like many modern sequencing approaches as well as enabling exclusive detection of epigenetic marks at specific sequences or gene loci.
Fig. 5.
Scheme depicting the EVA probe labeling procedure. An overhanging 5′ phosphorylated (P) fluorescently labeled oligonucleotide (red strand) and a shorter complementary probe (green strand) bind to the target gene. The alkaline phosphatase (AP) antibody binds to the target epigenetic mark (purple pentagon) and removes the phosphate group from the probe thereby protecting it from λ-exonuclease (blue sector) degradation (top) showing both green and red fluorescence during imaging (yellow circle). Probes that do not have the epigenetic mark and remain phosphorylated will be degraded by λ-exonuclease and will lose a fluorescent tag leaving only red fluorescence during imaging (red circle). Figure from graphical abstract of Kint et al. (2021).
Numerous spatial omics methods that map high-throughput sequences to their original location within a tissue sample have also been applied to visualize epigenetic targets. For example, Deng et al. (2022b) use spatial-ATAC-seq to resolve chromatin accessibility in mouse embryos and identify cell-type-specific chromatin regulatory elements. Other techniques such as cleavage under targets and tagmentation (CUT&Tag) and spatial-CUT&Tag enable further specificity by targeting specific sequences or epigenetic marks (Kaya-Okur et al., 2019). Deng et al. (2022a) and Kaya-Okur et al. (2019) use CUT&Tag to isolate regions of the genome that are associated with histone modifications, RNA polymerase II, and transcription factors. Omics techniques such as CUT&Tag, spatial-CUT&Tag, spatial-ATAC-seq, and epigenomic MERFISH enable spatial profiling of gene expression, chromatin accessibility, and histone modifications essential for understanding epigenetic processes (Lu et al. 2022).
Recent studies have explored methods to combine omics data and fluorescence imaging within the same sample. However, this is challenging to accomplish because it requires integration across multiple modalities and data types (Yang et al., 2021). Yang et al. (2021) illustrate the value of merging sequence and imaging data for studying epigenetics by developing a computational approach that integrates single-cell RNA sequence data and chromatin fluorescence images. Emerging techniques such as Deterministic Barcoding in Tissue sequencing plus (DBiTplus) and HyperSeq offer additional strategies for integrating imaging and sequence data. DBiTplus combines sequence-based spatial transcriptomics with image-based multiplexed protein immunofluorescence profiling, enabling simultaneous acquisition of both gene expression and protein data from a single sample (Enninful et al., 2024). Similarly, HyperSeq also uses spatial transcriptomics, but instead merges it with hyperspectral imaging, a microscopy technique that detects biomolecular autofluorescence (Xie et al., 2024). By integrating sequence data with spectral, morphological, and/or localization information, DBiTplus and HyperSeq provide insights useful for cell-type identification, gene expression analysis, mechanistic pathway investigation, among other applications (Enninful et al., 2024; Xie et al., 2024). These advances highlight the benefits of integrating image and sequence data, particularly in enhancing spatial context for studying biological processes including epigenetics.
Limitations and Opportunities
While visualization-based techniques generally provide more information about epigenetic marks than other techniques, they also have some limitations and opportunities for improvement. Some of the most imminent being resolution limitations, fixed versus live samples, and target accessibility. However, there are many examples of techniques and applications that attempt to combat these limitations as described below.
Target Accessibility and Availability
One limitation to labeling methods is that many epigenetic targets are difficult to label or occur at high concentrations. For example, many RNAs are highly expressed and thus, it can be difficult to draw conclusions when comparing relationships between RNA expression and another epigenetic mark. There are also many challenges associated with attempting to image DNA methylation because of high nuclear density in situ and reduced accessibility to antibodies due to the embedded position of cytosine within the double helix (Cui & Irudayaraj, 2017). Due to this, there are limited approaches to labeling DNA methylation in an accurate manner. One approach to tackling this challenge is using molecules already found in biological systems whose function include binding the desired epigenetic mark. For example, methyl-CpG-binding domain (MBD) proteins are inherently attracted to DNA methylation sites and contribute to chromatin formation (Cui & Irudayaraj, 2017). Leveraging the chemical structure of MBDs and adapting them to incorporate fluorophores or other labels could solve the accessibility issues of methylated cytosines. The development of sensors based on naturally occurring proteins and regulatory elements can resolve some of the target accessibility problems associated with probe labeling and enable more options for live cell imaging.
Fixed versus Live Samples
Many labeling techniques can only be performed on fixed samples, limiting applications for studying life cycles and responses to environmental stimuli. Fixed samples are generally preferred for many reasons, with one primary advantage being that the sample will not be affected by phototoxicity—damage to cells that occurs after intense exposure to light (Icha et al., 2017). Additionally, fixed samples last longer, provide a snapshot of a single event, and are required for many techniques in order to maintain the structure of the sample. For example, immunofluorescence, one of the most common labeling approaches, can only be performed on fixed samples, so other methods are needed to track epigenetic marks in live cells (Im et al., 2019). One way this can be combated is by using genetically encoded sensors in model organisms. An example of this is using reader domain-based sensors to image histone modifications in live cells. Histone modification reader domains (HMRDs) are naturally occurring regions on histones that attract “reader” proteins to bind to specific histone modifications (Musselman et al., 2012). Recombinant HMRDs can be used to create genetically encoded fluorescent sensors (Stepanov et al., 2022). This enables the visualization of histone modifications in live cells which could be used to measure the presence and abundance of certain modifications over time, during cellular events, or in response to a stressor/stimuli. Besides reader domain-based techniques, other genetically encoded antibody-based or FRET sensors, as well as SRM techniques, can be applied to visualize live cells (Stepanov, 2022).
Resolution Limits
Lastly, resolution limits can pose drawbacks in acquiring accurate and comprehensive data. While EM techniques are able to achieve up to 0.23 nm resolution, light and FM techniques usually have a much higher resolution limit between 250 and 420 nm due to the diffraction of light (Huang et al., 2009; Penczek, 2010). However, SRM methods have been able to overcome the diffraction barrier to achieve resolutions as low as 20–50 nm (Huang et al., 2009). Another approach to improving resolution is expansion microscopy (ExM) (Chen et al., 2016). Chen et al. (2016) developed an approach called expansion FISH (ExFISH), combining ExM and FISH to image RNAs at increased resolution. They synthesized a small molecule that links RNAs to an ExM gel, which then undergoes swelling/expansion followed by FISH to label RNAs (Chen et al., 2016). In this study, they performed smFISH on postexpanded HeLa cells to visualize mRNAs transcribed from ACTB, a gene within the actin gene family, as well as the Xist lncRNAs involved in X-chromosome inactivation (Fig. 6) (Chen et al., 2016). Postexpanded samples were expanded by a factor of 3.3X which resulted in greater resolution and may be particularly useful for imaging on microscopes with higher diffraction limits (Chen et al., 2016). Multiplex FISH can also be performed after expansion to visualize multiple RNA targets (Chen et al., 2016).
Fig. 6.
Images of smFISH labeled RNAs before and after ExFISH. Image of ACTB RNA (green) and DNA (blue) in a Hela cell before (c) and after ExM (ExFISH) (d). Image of Xist lncRNAs in an HEK293 cell before (f) and after expansion. (c, d) Scale bar = 10 µm, zoom in scale bar = 2 µm. (f, g) Scale bar = 2 µm; different colors represent each z slice; white outline is the nuclear envelope. White scale bars are in pre-expansion units; blue scale bars are pre-expansion units divided by the expansion factor. Modified from Fig. 1 of Chen et al. (2016) with permission.
Besides ExFISH, other innovative methods, such as SRM, multi-photon microscopy, minimal photon fluxes (MINFLUX), as well as combinatorial approaches like expansion-assisted iterative FISH (EASI-FISH), which combines multiplex FISH with ExM, can be applied to reduce resolution limits and more accurately visualize RNAs, gene expression, and epigenetic changes (Schmidt et al., 2021; Wang et al., 2021; Sinefeld et al., 2022). Additionally, overall improvements on microscopes themselves will minimize resolution limits and further science.
Conclusion
While microscopy techniques have some limitations, they are still robust tools to accurately characterize epigenetic marks such as DNA methylation, histone modifications, and RNAs. Visualization of the spatial and temporal distribution of epigenetic marks aids in revealing their functions related to genome organization, gene expression, and other biochemical pathways. Additionally, microscopy techniques can achieve a level of specificity that sequence-based techniques frequently lack.
The power behind microscopy techniques lies in the ability to observe, understand, and analyze intricate structures and details that elucidate functions and relationships. Imaging allows for the entire picture to be seen, enabling researchers to decipher the relative abundance, spatial distribution across a sample, and variation under differing conditions. Spatial localization uncovers relationships that epigenetic marks have in relation to chromatin structure, gene expression, and specific genomic regions. Additionally, several methods allow multiple epigenetic, genetic, or structural targets to be examined simultaneously, further informing how epigenetic marks and other relevant molecules are interconnected. Altogether, microscopy techniques and advanced labeling approaches are dynamic strategies that illustrate how structure informs function and showcase the power of visualizing epigenetics.
Availability of Data and Materials
The authors have declared that no datasets apply for this piece.
Financial Support
This work was supported by grants from the National Science Foundation: DEB-2230391 and OCE-1924570 to L.A.K., and National Institutes of Health: 1R15GM116103-02 to Y.T.
Contributor Information
Anna-Lee C Thompson, Department of Biological Sciences, Smith College, 44 College Ln, Northampton, MA 01063, USA.
Judith L M Wopereis, Department of Biological Sciences, Smith College, 44 College Ln, Northampton, MA 01063, USA.
Yonas I Tekle, Department of Biology, Spelman College, 350 Spelman Ln SW, Atlanta, GA 30314, USA.
Laura A Katz, Department of Biological Sciences, Smith College, 44 College Ln, Northampton, MA 01063, USA; Program in Organismic and Evolutionary Biology, University of Massachusetts Amherst, 300 Massachusetts Ave, Amherst, MA 01003, USA.
References
- Albini S, Zakharova V & Ait-Si-Ali S (2019). Chapter 3—Histone modifications. In Epigenetics and Regeneration, Palacios D (Ed.), vol. 11, pp. 47–72. Academic Press. 10.1016/B978-0-12-814879-2.00003-0 [DOI] [Google Scholar]
- Baker M (2012). RNA imaging in situ. Nat Methods 9(8), 787–790. 10.1038/nmeth.2108 [DOI] [Google Scholar]
- Bell JT & Spector TD (2011). A twin approach to unraveling epigenetics. Trends Genet 27(3), 116–125. 10.1016/j.tig.2010.12.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Biggiogera M & Masiello I (2017). Visualizing RNA at electron microscopy by terbium citrate. In Histochemistry of Single Molecules: Methods and Protocols, Pellicciari C & Biggiogera M (Eds.), pp. 277–283. Springer. 10.1007/978-1-4939-6788-9_21 [DOI] [PubMed] [Google Scholar]
- Casadesús J & Noyer-Weidner M (2013). Epigenetics. In Brenner's Encyclopedia of Genetics (Second Edition), Maloy S & Hughes K (Eds.), pp. 500–503. Academic Press. 10.1016/B978-0-12-374984-0.00480-0 [DOI] [Google Scholar]
- Chen KH, Boettiger AN, Moffitt JR, Wang S & Zhuang X (2015). Spatially resolved, highly multiplexed RNA profiling in single cells. Science 348(6233), aaa6090. 10.1126/science.aaa6090 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen F, Wassie AT, Cote AJ, Sinha A, Alon S, Asano S, Daugharthy ER, Chang J-B, Marblestone A, Church GM, Raj A & Boyden ES (2016). Nanoscale imaging of RNA with expansion microscopy. Nat Methods 13(8), 679–684. 10.1038/nmeth.3899 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cho I, Seo JY & Chang J (2018). Expansion microscopy. J Microsc 271(2), 123–128. 10.1111/jmi.12712 [DOI] [PubMed] [Google Scholar]
- Cmarko D & Koberna K (2007). Electron microscopy in situ hybridization: Tracking of DNA and RNA sequences at high resolution. Meth Mol Biol (Clifton, N.J.) 369, 213–228. 10.1007/978-1-59745-294-6_11 [DOI] [PubMed] [Google Scholar]
- Cui Y, Cho I-H, Chowdhury B & Irudayaraj J (2013). Real-time dynamics of methyl-CpG-binding domain protein 3 and its role in DNA demethylation by fluorescence correlation spectroscopy. Epigenetics 8(10), 1089–1100. 10.4161/epi.25958 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cui Y & Irudayaraj J (2017). Optical microscopy and spectroscopy for epigenetic modifications in single living cells. In Epigenetics and Gene Expression in Cancer, Inflammatory and Immune Diseases, Stefanska B & MacEwan DJ (Eds.), pp. 135–154. Springer New York. 10.1007/978-1-4939-6743-8_9 [DOI] [Google Scholar]
- Deichmann U (2016). Epigenetics: The origins and evolution of a fashionable topic. Dev Biol 416(1), 249–254. 10.1016/j.ydbio.2016.06.005 [DOI] [PubMed] [Google Scholar]
- Deng Y, Bartosovic M, Kukanja P, Zhang D, Liu Y, Su G, Enninful A, Bai Z, Castelo-Branco G & Fan R (2022. a). Spatial-CUT&tag: Spatially resolved chromatin modification profiling at the cellular level. Science 375(6581), 681–686. 10.1126/science.abg7216 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Deng Y, Bartosovic M, Ma S, Zhang D, Kukanja P, Xiao Y, Su G, Liu Y, Qin X, Rosoklija GB, Dwork AJ, Mann JJ, Xu ML, Halene S, Craft JE, Leong KW, Boldrini M, Castelo-Branco G & Fan R (2022b). Spatial profiling of chromatin accessibility in mouse and human tissues. Nature 609(7926), 375–383. 10.1038/s41586-022-05094-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dumbović G, Sanjuan X, Perucho M & Forcales S-V (2021). Stimulated emission depletion (STED) super resolution imaging of RNA- and protein-containing domains in fixed cells. Methods 187, 68–76. 10.1016/j.ymeth.2020.04.009 [DOI] [PubMed] [Google Scholar]
- Elson EL (2011). Fluorescence correlation spectroscopy: Past, present, future. Biophys J 101(12), 2855. 10.1016/j.bpj.2011.11.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Enninful A, Zhang Z, Klymyshyn D, Zong H, Bai Z, Farzad N, Su G, Baysoy A, Nam J, Yang M, Lu Y, Zhang N, Braubach O, Xu M, Ma Z, & Fan R. (2024). Integration of imaging-based and sequencing-based spatial omics mapping on the same tissue section via DBiTplus. Res Sq. 10.21203/rs.3.rs-5398491/v1 [DOI]
- Faron-Górecka A, Szlachta M, Kolasa M, Solich J, Górecki A, Kusmider M, Zurawek D & Dziedzicka-Wasylewska M (2019). Chapter 10—Understanding GPCR dimerization. In Methods in Cell Biology, Shukla AK (Ed.), Vol. 149, pp. 155–178. Academic Press. 10.1016/bs.mcb.2018.08.005 [DOI] [PubMed] [Google Scholar]
- Gomez D, Shankman LL, Nguyen AT & Owens GK (2013). Detection of histone modifications at specific gene loci in single cells in histological sections. Nat Methods 10(2), 171–177. 10.1038/nmeth.2332 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Haimovich G & Gerst JE (2018). Single-molecule fluorescence in situ hybridization (smFISH) for RNA detection in adherent animal cells. Bio Protoc 8(21), e3070. 10.21769/BioProtoc.3070 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hinten M, Maclary E, Gayen S, Harris C & Kalantry S (2016). Visualizing long noncoding RNAs on chromatin. Meth Mol Biol (Clifton, N.J.) 1402, 147–164. 10.1007/978-1-4939-3378-5_12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holgate JH & Webb J (2003). Microscopy| light microscopy and histochemical methods. In Encyclopedia of Food Sciences and Nutrition, 2nd ed., Caballero B (Ed.), pp. 3917–3922. Academic Press. 10.1016/B0-12-227055-X/00778-1 [DOI] [Google Scholar]
- Huang B, Bates M & Zhuang X (2009). Super resolution fluorescence microscopy. Annu Rev Biochem 78, 993–1016. 10.1146/annurev.biochem.77.061906.092014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Icha J, Weber M, Waters JC & Norden C (2017). Phototoxicity in live fluorescence microscopy, and how to avoid it. BioEssays 39(8), 1700003. 10.1002/bies.201700003 [DOI] [PubMed] [Google Scholar]
- Im K, Mareninov S, Diaz MFP & Yong WH (2019). An introduction to performing immunofluorescence staining. Meth Mol Biol (Clifton, N.J.) 1897, 299–311. 10.1007/978-1-4939-8935-5_26 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaikkonen MU, Lam MTY & Glass CK (2011). Non-coding RNAs as regulators of gene expression and epigenetics. Cardiovasc Res 90(3), 430–440. 10.1093/cvr/cvr097 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaya-Okur HS, Wu SJ, Codomo CA, Pledger ES, Bryson TD, Henikoff JG, Ahmad K & Henikoff S (2019). CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat Commun 10(1), 1930. 10.1038/s41467-019-09982-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kint S, Van Criekinge W, Vandekerckhove L, De Vos WH, Bomsztyk K, Krause DS & Denisenko O (2021). Single cell epigenetic visualization assay. Nucleic Acids Res 49(8), e43. 10.1093/nar/gkab009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lelek M, Gyparaki MT, Beliu G, Schueder F, Griffié J, Manley S, Jungmann R, Sauer M, Lakadamyali M & Zimmer C (2021). Single-molecule localization microscopy. Nat Rev Methods Primers 1(1), 1–27. 10.1038/s43586-021-00038-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Levchenko SM, Pliss A, Peng X, Prasad PN & Qu J (2021). Fluorescence lifetime imaging for studying DNA compaction and gene activities. Light Sci Appl 10(1), 224. 10.1038/s41377-021-00664-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li Y, Miyanari Y, Shirane K, Nitta H, Kubota T, Ohashi H, Okamoto A & Sasaki H (2013). Sequence-specific microscopic visualization of DNA methylation status at satellite repeats in individual cell nuclei and chromosomes. Nucleic Acids Res 41(19), e186. 10.1093/nar/gkt766 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu W & Irudayaraj J (2019). Understanding the dynamics and structure of epigenetic states with single-molecule fluorescence microscopy. Curr Opin Biomed Eng 12, 18–24. 10.1016/j.cobme.2019.08.010 [DOI] [Google Scholar]
- Lou J, Scipioni L, Wright BK, Bartolec TK, Zhang J, Masamsetti VP, Gaus K, Gratton E, Cesare AJ & Hinde E (2019). Phasor histone FLIM-FRET microscopy quantifies spatiotemporal rearrangement of chromatin architecture during the DNA damage response. Proc Natl Acad Sci U S A 116(15), 7323–7332. 10.1073/pnas.1814965116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu T, Ang CE & Zhuang X (2022). Spatially resolved epigenomic profiling of single cells in complex tissues. Cell 185(23), 4448–4464.e17. 10.1016/j.cell.2022.09.035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Macháň R & Wohland T (2014). Recent applications of fluorescence correlation spectroscopy in live systems. FEBS Lett 588(19), 3571–3584. 10.1016/j.febslet.2014.03.056 [DOI] [PubMed] [Google Scholar]
- Mariño-Ramírez L, Kann MG, Shoemaker BA & Landsman D (2005). Histone structure and nucleosome stability. Expert Rev Proteomics 2(5), 719–729. 10.1586/14789450.2.5.719 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Masiello I & Biggiogera M (2017). Ultrastructural localization of 5-methylcytosine on DNA and RNA. Cell Mol Life Sci 74(16), 3057–3064. 10.1007/s00018-017-2521-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moore LD, Le T & Fan G (2013). DNA methylation and its basic function. Neuropsychopharmacology 38(1), 23–38. 10.1038/npp.2012.112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morris KV & Mattick JS (2014). The rise of regulatory RNA. Nat Rev Genet 15(6), 423–437. 10.1038/nrg3722 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Musselman CA, Lalonde M-E, Côté J & Kutateladze TG (2012). Perceiving the epigenetic landscape through histone readers. Nat Struct Mol Biol 19(12), 1218–1227. 10.1038/nsmb.2436 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Penczek PA (2010). Resolution measures in molecular electron microscopy. Methods Enzymol 482, 73–100. 10.1016/S0076-6879(10)82003-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pichon X, Lagha M, Mueller F & Bertrand E (2018). A growing toolbox to image gene expression in single cells: Sensitive approaches for demanding challenges. Mol Cell 71(3), 468–480. 10.1016/j.molcel.2018.07.022 [DOI] [PubMed] [Google Scholar]
- Pogribny IP & Beland FA (2009). DNA hypomethylation in the origin and pathogenesis of human diseases. Cell Mol Life Sci 66(14), 2249–2261. 10.1007/s00018-009-0015-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Prakash K, Fournier D, Redl S, Best G, Borsos M, Tiwari VK, Tachibana-Konwalski K, Ketting RF, Parekh SH, Cremer C & Birk UJ (2015). Superresolution imaging reveals structurally distinct periodic patterns of chromatin along pachytene chromosomes. Proc Natl Acad Sci U S A 112(47), 14635–14640. 10.1073/pnas.1516928112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sarmento MJ, Oneto M, Pelicci S, Pesce L, Scipioni L, Faretta M, Furia L, Dellino GI, Pelicci PG, Bianchini P, Diaspro A & Lanzanò L (2018). Exploiting the tunability of stimulated emission depletion microscopy for super-resolution imaging of nuclear structures. Nat Commun 9(1), 3415. 10.1038/s41467-018-05963-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schermelleh L, Ferrand A, Huser T, Eggeling C, Sauer M, Biehlmaier O & Drummen GPC (2019). Super-resolution microscopy demystified. Nat Cell Biol 21(1), 72–84. 10.1038/s41556-018-0251-8 [DOI] [PubMed] [Google Scholar]
- Schmidt R, Weihs T, Wurm CA, Jansen I, Rehman J, Sahl SJ & Hell SW (2021). MINFLUX nanometer-scale 3D imaging and microsecond-range tracking on a common fluorescence microscope. Nat Commun 12(1), 1478. 10.1038/s41467-021-21652-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shakoori AR (2017). Fluorescence in situ hybridization (FISH) and its applications. Chromosome Structure and Aberrations 1, 343–367. 10.1007/978-81-322-3673-3_16 [DOI] [Google Scholar]
- Shatskikh AS, Kotov AA, Adashev VE, Bazylev SS & Olenina LV (2020). Functional significance of satellite DNAs: Insights from Drosophila. Front Cell Dev Biol 8, 312. 10.3389/fcell.2020.00312 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shrestha D, Jenei A, Nagy P, Vereb G & Szöllősi J (2015). Understanding FRET as a research tool for cellular studies. Int J Mol Sci 16(4), 6718. 10.3390/ijms16046718 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sinefeld D, Xia F, Wang M, Wang T, Wu C, Yang X, Paudel HP, Ouzounov DG, Bifano TG & Xu C (2022). Three-photon adaptive optics for mouse brain imaging. Front Neurosci 16, 880859. 10.3389/fnins.2022.880859 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stepanov AI, Besedovskaia ZV, Moshareva MA, Lukyanov KA & Putlyaeva LV (2022). Studying chromatin epigenetics with fluorescence microscopy. Int J Mol Sci 23(16), 8988. 10.3390/ijms23168988 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tekle YI, Wang F, Heidari A & Stewart AJ (2020). Differential gene expression analysis and cytological evidence reveal a sexual stage of an amoeba with multiparental cellular and nuclear fusion. PLoS One 15(11), e0235725. 10.1371/journal.pone.0235725 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tekle YI, Wood FC, Katz LA, Cerón-Romero MA & Gorfu LA (2017). Amoebozoans are secretly but ancestrally sexual: Evidence for sex genes and potential novel crossover pathways in diverse groups of amoebae. Genome Biol Evol, 9(2):375–387. 10.1093/gbe/evx002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thorn K (2016). A quick guide to light microscopy in cell biology. Mol Biol Cell 27(2), 219–222. 10.1091/mbc.E15-02-0088 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang Y, Eddison M, Fleishman G, Weigert M, Xu S, Wang T, Rokicki K, Goina C, Henry FE, Lemire AL, Schmidt U, Yang H, Svoboda K, Myers EW, Saalfeld S, Korff W, Sternson SM & Tillberg PW (2021). EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization. Cell 184(26), 6361–6377.e24. 10.1016/j.cell.2021.11.024 [DOI] [PubMed] [Google Scholar]
- Wang X & Lai Y (2021). Three basic types of fluorescence microscopy and recent improvement. E3S Web Conf 290, 01031. 10.1051/e3sconf/202129001031 [DOI] [Google Scholar]
- Weinhold B (2006). Epigenetics: The science of change. Environ Health Perspect 114(3), A160–A167. 10.1289/ehp.114-a160 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wills M. (2018). The Evolution of the Microscope. JSTOR Daily. https://daily.jstor.org/the-evolution-of-the-microscope/ (retrieved March 16, 2025).
- Xie Y, Habibalahi A, Anwer AG, Wahi K, Gatt C, Johansson EMV, Holst J, Goldys E, & Zanini F. (2024). Integration of hyperspectral imaging and transcriptomics from individual cells with HyperSeq. bioRxiv 577536. 10.1101/2024.01.27.577536 [DOI] [PMC free article] [PubMed]
- Yang KD, Belyaeva A, Venkatachalapathy S, Damodaran K, Katcoff A, Radhakrishnan A, Shivashankar GV & Uhler C (2021). Multi-domain translation between single-cell imaging and sequencing data using autoencoders. Nat Commun 12(1), 31. 10.1038/s41467-020-20249-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Young AP, Jackson DJ & Wyeth RC (2020). A technical review and guide to RNA fluorescence in situ hybridization. PeerJ 8, e8806. 10.7717/peerj.8806 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yue M, Richard JLC, Yamada N, Ogawa A & Ogawa Y (2014). Quick fluorescent in situ hybridization protocol for Xist RNA combined with immunofluorescence of histone modification in X-chromosome inactivation. J Vis Exp 93, e52053. 10.3791/52053 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang X, Wang L, Li N & Xiao Y (2021). Assessing chromatin condensation for epigenetics with a DNA-targeting sensor by FRET and FLIM techniques. Chin Chem Lett 32(8), 2395–2399. 10.1016/j.cclet.2021.02.031 [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The authors have declared that no datasets apply for this piece.






