Significance
Understanding cellular processes requires tools to measure and manipulate biomolecules in living systems. Self-labeling tags, such as the HaloTag, enable the attachment of synthetic molecules to specific proteins inside cells. Creating ligands for these systems with more than one chemical motif remains challenging due to competing demands between cell permeability and functionality. We found that multifunctional ligands based on certain rhodamines efficiently entered cells and enabled affinity purification of mitochondria or translocation of nuclear proteins; the performance of these molecules could be verified by fluorescence microscopy. These compounds are useful for a variety of biological experiments, and our general framework will allow the design of other multifunctional ligands to study living systems.
Keywords: chemical biology, chemistry, fluorescence, protein purification, HaloTag
Abstract
Enzyme-based self-labeling tags enable the covalent attachment of synthetic molecules to proteins inside living cells. A frontier of this field is designing cell-permeable multifunctional ligands that contain fluorophores in combination with affinity tags or pharmacological agents. This is challenging since attachment of additional chemical moieties onto fluorescent ligands can adversely affect membrane permeability. To address this problem, we examined the chemical properties of rhodamine-based self-labeling tag ligands through the lens of medicinal chemistry. We found that the lactone–zwitterion equilibrium constant (KL–Z) of rhodamines inversely correlates with their distribution coefficients (logD7.4), suggesting that ligands based on dyes exhibiting low KL–Z and high logD7.4 values, such as Si-rhodamines, would efficiently enter cells. We designed cell-permeable multifunctional HaloTag ligands with a biotin moiety to purify mitochondria or a JQ1 appendage to translocate BRD4 within the nucleus. We found that translocation of BRD4 to constitutive heterochromatin in cells leads to apparent increases in transcriptional activity. These fluorescent reagents enable affinity capture and translocation of intracellular proteins in living cells, and our general design concepts will facilitate the design of multifunctional chemical tools for biology.
Research at the interface of organic chemistry and protein biochemistry has generated powerful tools to visualize, purify, and manipulate cellular components (1–3). Introducing synthetic moieties into cells can be accomplished in various ways. Metabolic incorporation (4, 5) utilizes endogenous enzymes to install nonnative moieties into cells while genetic code expansion, (6, 7) engineered ligases, (8–12) or self-labeling tags (13–15) utilize exogenously expressed enzymes. In particular, engineering of enzyme–substrate interactions has produced self-labeling tags such as HaloTag (13) and SNAP-tag (14), which have found broad use in modern biology. These protein tags react specifically and irreversibly with a ligand motif that can be appended to a variety of functionalities, including fluorescent dyes, affinity tags, and pharmacological agents (Fig. 1A) (16–21).
Fig. 1.
Rhodamine-based multifunctional ligands for self-labeling tags. (A) Schematic illustrating the modularity of self-labeling tag systems for a singular function. (B) Chemical structure of 1HTL. (C) Crystal structure of 1HTL covalently bound to the HaloTag (PDB:6U32) with zoom-in of the dye–protein interface. (D) Schematic showing the concept of multifunctional ligands.
Despite the prospective flexibility of self-labeling tag systems, the major application of this technology has been to label proteins with small-molecule fluorophores. These systems complement fluorescent proteins, and their original engineering focused on dye labeling. For example, the directed evolution campaign to generate the HaloTag used tetramethylrhodamine (TMR) linked to a 1-chlorohexane ligand at the 6-position via a short polyethylene glycol (PEG) unit (13). Reaction of the TMR–HaloTag ligand (1HTL, Fig. 1B) with the HaloTag protein positions TMR close to the HaloTag surface (Fig. 1C; PDB:6U32) (22). This general design of the PEG2-chlorohexane moiety (i.e., the HaloTag ligand) attached to 6-carboxyrhodamines has generated a portfolio of spectrally distinct fluorescent HaloTag ligands that can function in cells, tissues, and animals (16, 22–26).
The intimate dye–protein contact exemplified by the 1HTL–HaloTag complex (Fig. 1C) can be advantageous for fluorescent ligands. The tight association can shift some dyes from nonfluorescent forms in solution to fluorescent conjugates, yielding high-contrast fluorogenic systems (26–30). Association with the HaloTag can also improve brightness and photostability (31). Nevertheless, the relatively short PEG2-chloroalkane substrate motif can be problematic when the rhodamine moiety is replaced with other functionalities, such as affinity tags or pharmacological agents. Given this issue, an emerging idea in the field is to retain the dye and append it with motifs for purification or perturbation, creating multifunctional ligands (Fig. 1D). This takes advantage of the rapid labeling kinetics of the HaloTag system (~107 M−1s−1), even when functionality is added to the dye moiety, (13, 21, 32) and improvements in chemistry (33–36) that allow the straightforward synthesis of functionalized fluorophores (37–43). Incorporation of a fluorescent dye also enables visualization of the subcellular distribution of ligands inside cells to verify their performance using fluorescence imaging.
Multifunctional fluorescent ligands can be relatively large molecules that show variable cell permeability since they combine ligand, dye, and affinity tag or pharmacological agent into a single compound. We set out to elucidate general design principles for such molecules, exploring how the chemical properties of the parent rhodamine structure (27–30, 36, 44) affect the permeability of multifunctional ligands built from that dye. We found that the lactone–zwitterion equilibrium constant (KL–Z) of rhodamine dyes is inversely correlated with their octanol–water distribution coefficient at physiological pH (logD7.4), a property commonly used in medicinal chemistry (45–49). Although the addition of functionality onto the dye structure affects KL–Z and logD7.4, the changes are relatively minor; the rhodamine scaffold exerts a strong effect on the resulting multifunctional ligand properties. Dyes with relatively low KL–Z values and high logD7.4, such as the Si-rhodamine-based Janelia Fluor 646 (JF646) and JF635, were particularly useful scaffolds for constructing cell-permeable compounds bearing the polar affinity tag biotin or the lipophilic pharmacological agent JQ1. These ligands enable advanced cell biological experiments, and the general concepts described below should aid the design of new multifunctional chemical tools for biology.
Results and Discussion
KL–Z and logD7.4 Are Correlated.
In previous work, we showed that the KL–Z of the parent rhodamine (Fig. 2A) exerts a strong effect on the performance of dye-ligands in biological systems (36). Dyes with high KL–Z values, such as Janelia Fluor 549 (JF549, 2; KL–Z = 3.5), predominantly exist in the zwitterion form to yield bright and environmentally insensitive ligands. JF549 is structurally similar to TMR, the base dye of 1HTL, but contains azetidines instead of N,N-dimethylamino groups, which increase brightness and photostability (50). The KL–Z can be tuned lower by replacing the xanthene oxygen in 2 with a gem-dimethylcarbon (e.g., JF608, 3; KL–Z = 0.091) or by installing 3,3-difluoroazetidine auxochromes, as in JF525 (4; KL–Z = 0.068). Carborhodamine 3 exhibits a 60 nm bathochromic shift in absorption maximum (λabs) and fluorescence emission maximum (λem) relative to JF549 (2), whereas the 3,3-difluoroazetidine groups in 4 cause a 24-nm hypsochromic shift in λabs and λem (21). Ligands based on JF608 or JF525 exhibit improved membrane permeability and bioavailability in animals (27). Dyes with even lower KL–Z values can be accessed by incorporating a gem-dimethylsilicon substituent (e.g., JF646, 5; KL–Z = 0.0014), which results in a larger 100-nm bathochromic shift in λabs and λem, or by combining silicon or carbon substitutions with fluorinated azetidine auxochromes, as in JF635 (6; KL–Z ≈ 0.0001) and JF585 (7; KL–Z ≈ 0.001) (51–53). Compounds based on 5–7 show high cell permeability and are fluorogenic, predominantly existing in the lactone form in aqueous media but shifting to the fluorescent zwitterion upon binding their cognate biomolecular target (27).
Fig. 2.
Relationship between KL–Z and logD7.4 for rhodamines 2–7 and ligands 2HTL–7HTL. (A) Dynamic equilibrium between the nonfluorescent lactone (L) and fluorescent zwitterion (Z) along with the lactone–zwitterion equilibrium constant (KL–Z; log scale) for rhodamine-based Janelia Fluor (JF) dyes 2–7 and their HaloTag ligands (2HTL–7HTL). (B) Plots of logD7.4 vs. logKL–Z with linear fit (black line) and 95% CI (gray curves) for 2–7 and 2HTL–7HTL; the dotted line denotes the region of optimal cellular permeability based on logD7.4. Individual pairs of free dyes and their respective HaloTag ligands show the consistent shift to lower logD7.4 and higher KL–Z values upon installation of the HaloTag ligand moiety.
We investigated whether the KL–Z was correlated to logD7.4, which is a metric employed in medicinal chemistry to rationalize the permeability of small-molecule pharmacological agents (46, 48). This parameter has not been applied to self-labeling tag ligands, however, so the KL–Z values of the HaloTag ligands (2HTL–7HTL; Fig. 2A) (27, 36) and the logD7.4 values for 2–7 and 2HTL–7HTL were measured (54). These data revealed that logD7.4 is inversely correlated to KL–Z (Fig. 2B). Although the relationship between logD7.4 and cell permeability is complex, cellular entry is optimal when logD7.4 is greater than 1 but less than 3–5; (45–49) the permeability of higher molecular weight molecules benefits from logD7.4 values at the upper end of this range (46). Based on these general rules, we hypothesized that multifunctional ligands based on JF608 (3; logD7.4 = 3.78), JF646 (5; logD7.4 = 3.98), and JF635 (6; logD7.4 = 4.10) could serve as effective scaffolds for cell-permeable compounds. We also surmised that the utility of JF549 (2) in multifunctional ligands could be limited due to its lower logD7.4 = 0.98, which is at the edge of the optimal range. Although JF525 (4) and JF585 (7) also exhibit potentially useful logD7.4 values—2.86 and 5.01, respectively—the 3,3-difluoroazetidine moiety in these compounds prevents attachment of functional small molecules using the expedient (39) azetidine derivatization; these dyes were not investigated further as scaffolds for multifunctional ligands.
Synthesis and Properties of Biotin–JF–HaloTag Ligands.
We prepared a series of HaloTag ligands containing biotin (55) to test how different rhodamine scaffolds affect the properties of the resulting multifunctional compound. Coupling 3-carboxyazetidine-containing rhodamine HaloTag ligands 8HTL–11HTL with the commercially available biotin–PEG2–NH2 (12) yielded the biotin–JF–HaloTag ligand compounds 13HTL–16HTL (Scheme 1). The 3″-carboxy-JF549–HaloTag ligand (8HTL) and the 3″-carboxy-JF646–HaloTag ligand (10HTL) starting materials were prepared as previously described (39). The JF608 and JF635 derivatives 9HTL and 11HTL were synthesized using analogous five-step sequences (SI Appendix, Schemes S1 and S2).
Scheme 1.
Synthesis of biotin–JF–HaloTag ligands 13HTL–16HTL from 3″-carboxyazetidine dyes 8HTL–11HTL and biotin–amine 12.
The spectral properties of the biotin–JF–HaloTag ligands 13HTL–16HTL and their HaloTag conjugates were similar to the parent dyes 2–6 and HaloTag ligands 2HTL–6HTL(27, 50) with only minor shifts in λabs and λem, regardless of chemical substitution or attachment to the HaloTag protein (Fig. 3A). The fluorescence quantum yield (Φf) showed little change for the JF549 compounds upon HaloTag labeling but modestly increased (~20%) for the other compounds built on JF608, JF646, and JF635. The compounds based on JF549 (2HTL and 13HTL) and JF608 (3HTL and 14HTL) exhibited relatively high extinction coefficients (ε) before and after conjugation to the HaloTag, but the ε of the Si-rhodamine-based JF646–HaloTag ligands (5 and 15HTL) and JF635–HaloTag ligands (6 and 16HTL) were strongly affected by protein binding (Fig. 3 A and B). The absorptivity of biotin–JF646–HaloTag ligand (15HTL; ε = 34,000 M−1cm−1) increased to ε = 84,400 M−1cm−1 as the HaloTag conjugate 15–HT. The biotin–JF635–HaloTag ligand (16HTL) exhibits a lower extinction coefficient (ε = 2,900 M−1cm−1) due to the fluorine-induced shift in the lactone–zwitterion equilibrium, but upon binding to HaloTag, the absorptivity increased; conjugate 16–HT showed ε = 42,500 M−1cm−1. These HaloTag-induced increases in ε corresponded to fluorogenicities of 2.9-fold and 17.6-fold for 15HTL and 16HTL, respectively, driven primarily by the increase in absorptivity (Fig. 3B).
Fig. 3.

Spectral and chemical properties of biotin–rhodamine–HaloTag ligands. (A) Spectral properties (λabs, λem, ε, and Φf), KL–Z, and logD7.4 of rhodamines 2–6, HaloTag ligands 2HTL–6HTL, biotin–rhodamine–HaloTag ligands 13HTL–16HTL, and the HaloTag (HT) conjugates of 2HTL–6HTL and 13HTL–16HTL; λabs/λem are in nm, and ε are in M−1cm−1. Spectral properties were measured in 10 mM HEPES, pH 7.3, and KL–Z measurements were performed in 1:1 (v/v) dioxane–water. aData taken from refs. 27 and 50. bData taken from ref. 27 (B) Absolute absorbance of 13HTL–16HTL in the absence or presence of excess (+HT) HaloTag protein. (C) Plots of logD7.4 vs. logKL–Z for compounds based on JF549 (2, 2HTL, and 13HTL), JF608 (3, 3HTL, and 14HTL), JF646 (5, 5HTL, and 15HTL), and JF635 (6, 6HTL, and 16HTL) showing the consistent shift to lower logD7.4 values upon installation of the biotin moiety; the dotted line denotes region of optimal cellular permeability based on logD7.4.
Measuring the KL–Z and logD7.4 values of HaloTag ligands 13HTL–16HTL revealed the effect of biotin attachment on chemical properties. The JF549-based 13HTL exhibited a KL–Z = 5.9, which is higher than both JF549 (2; KL–Z = 3.5) and JF549–HaloTag ligand (2HTL; KL–Z = 5.2), suggesting the polar biotin functionality stabilizes the zwitterion form of the rhodamine, perhaps through direct interaction with the dye. This effect was also observed in the decreased logD7.4 = 0.07 measured for 13HTL, which places it below the optimal range for cell-permeant molecules (45–49). For ligands 14HTL–16HTL, the incorporation of the biotin moiety caused a small decrease in KL–Z compared to the unfunctionalized HaloTag ligands 3HTL–6HTL, likely due to the electron-withdrawing carboxamide on the azetidine substituent. The lower KL–Z values are reflected in the relatively high logD7.4 values measured for 14HTL (logD7.4 = 2.63), 15HTL (logD7.4 = 3.06), or 16HTL (logD7.4 = 3.60). Overall, we found that incorporating biotin into rhodamine–HaloTag ligands has modest effects on KL–Z and decreases the logD7.4 (Fig. 3C). This decrease in logD7.4 is substantial for the JF549-based 13HTL but attenuated for compounds containing carbo- or Si-rhodamines (14HTL–16HTL).
Live Cell Imaging with Multifunctional Ligands.
Based on these in vitro logD7.4 measurements, we anticipated that the JF549 compound (13HTL; logD7.4 = 0.07) would exhibit poor cell permeability, while other compounds 14HTL–16HTL (logD7.4 = 2.63 to 3.60) would readily enter cells. We evaluated the biotin ligands in U2OS cells transiently transfected with plasmids encoding HaloTag fused to the following proteins: i) cell-surface-localized platelet-derived growth factor receptor (PDGFR); ii) outer mitochondria membrane localized TOMM20; iii) endoplasmic reticulum-localized Sec61β; and iv) nucleus-localized histone H2B. Evaluating the ligands with HaloTag fusions at different subcellular locations was important, as some rhodamine dyes inherently localize to specific regions (35, 56, 57). Carborhodamine and Si-rhodamine-based biotin ligands 14HTL–16HTL exhibited bright and robust labeling of all the HaloTag fusions regardless of subcellular location, whereas the biotin–JF549–HaloTag ligand (13HTL) demonstrated low intracellular signals, only labeling the cell-surface-localized PDGFR–HaloTag fusion (Fig. 4). We note that 13HTL has a similar design to the recently reported biotin–TMR–HaloTag ligand, whose in vitro labeling kinetics approached those of the unmodified TMR–HaloTag ligand (21) (1HTL); the biotin–TMR compound has not been evaluated in living cells. Measuring the loading kinetics in U2OS cells expressing HaloTag–H2B confirmed negligible intracellular labeling over 4 h using rhodamine ligand 13HTL (200 nM), whereas the carborhodamine ligand (14HTL) and Si-rhodamine ligands (15HTL and 16HTL) label intracellular proteins, reaching maximal intensity at 4 h and 1 h, respectively (SI Appendix, Fig. S1). These data affirm that logD7.4 is predictive of HaloTag ligand performance in cells and that low KL–Z dyes can balance the addition of polar moieties and preserve cell permeability.
Fig. 4.

Evaluation of live-cell labeling of biotin–rhodamine–HaloTag ligands 13HTL–16HTL. Airyscan fluorescence microscopy images of U2OS cells expressing HaloTag fusion proteins at different subcellular locations, incubated with 100 nM 13HTL–16HTL for 1 h followed by fixation, counterstaining with Hoechst 33342 (gray) and imaging. Columns indicate different HaloTag fusion proteins: (A–D) Cell-surface-localized HaloTag–PDGFR; (E–H) Outer mitochondrial membrane-localized HaloTag–TOMM20; (I–L) Endoplasmic reticulum membrane-localized HaloTag–Sec61β; (M–P) Nucleus-localized HaloTag–histone H2B. Rows indicate different ligands: (A,E,I, and M) biotin–JF549–HaloTag ligand (13HTL; yellow); (B, F, J, and N) biotin–JF608–HaloTag ligand (14HTL; red); (C, G, K, and O) biotin–JF646–HaloTag ligand (15HTL; magenta); (D, H, L, and P) biotin–JF635–HaloTag ligand (16HTL; magenta). Each ligand image set (A/E/I/M, B/F/J/N, C/G/K/O, or D/H/L/P) was taken using the same microscope settings and is displayed with the same dynamic range settings; (Scale bar, 10 μm.)
Affinity Purification Using Biotin–Rhodamine–HaloTag Ligands.
We applied the biotin-containing multifunctional ligands 13HTL–16HTL for affinity purification of mitochondria from HEK293T cells expressing a fusion protein consisting of outer membrane protein 25 (OMP25), monomeric superfolder green fluorescent protein (msGFP), and HaloTag. This construct localizes HaloTag to the outer mitochondrial membrane (58, 59) and allows straightforward measurement of labeling and capture efficiency using a pulse–chase assay coupled with sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS–PAGE) followed by in-gel fluorescence (Fig. 5A and SI Appendix, Figs. S2 and S3). Evaluation of the labeling efficiency in these cells confirmed that 1 µM unfunctionalized ligands 2HTL–6HTL showed near complete labeling of the msGFP–HaloTag fusion; by contrast the biotin–JF549–HaloTag ligand (13HTL) gave a low degree of labeling (< 3%) at both 100 nM and 1 µM concentration, consistent with the logD7.4 measurements (Fig. 3A) and imaging results in U2OS cells (Fig. 4 A, E, I, and M). The carborhodamine-based biotin–JF608–HaloTag ligand (14HTL) gave substantially higher labeling efficiency: 11.3 ± 6.4% (mean ± SEM; 100 nM) and 57.7 ± 9.6% (1 µM). The Si-rhodamine ligands provided the highest overall labeling efficiencies with JF646-based 15HTL showing 13.6 ± 3.7% (100 nM) and 61.7 ± 6.8% (1 µM) and JF635-based 16HTL yielding 18.0 ± 4.9% (100 nM) and 69.0 ± 4.2% (1 µM). These results were also consistent with live HEK293T cell imaging experiments in which 13HTL showed low intracellular signal (SI Appendix, Fig. S4), whereas Si-rhodamine ligands 15HTL and 16HTL showed robust labeling and colocalization with mitochondrial-localized GFP with intensities consistent with their in vitro brightness properties (Fig. 3A and SI Appendix, Fig. S5).
Fig. 5.

Affinity purification of mitochondria using biotin-containing multifunctional HaloTag ligands. (A) Schematic illustrating the workflow to purify mitochondria using biotin-containing HaloTag ligands by live-cell labeling and affinity purification using streptavidin-coated magnetic beads. (B and C) Representative GFP SDS–PAGE/in-gel fluorescence (B) and quantification (C) of OMP25–msGFP–HaloTag fusion protein in the wash and bound to streptavidin after labeling with vehicle (DMSO-only), JF646–HaloTag ligand (5HTL), biotin–JF646–HaloTag ligand (15HTL), JF635–HaloTag ligand (6HTL), and biotin–JF635–HaloTag ligand (16HTL); n = 3, error bars indicate mean ± SEM. (D) Schematic and chemical structure of commercial biotin–HaloTag ligand 17HTL. (E and F) Representative GFP SDS–PAGE/in-gel fluorescence (E) and quantification (F) of captured OMP25–msGFP–HaloTag fusion protein in the wash and bound to streptavidin after labeling with 17HTL; n = 3, error bars indicate mean ± SEM.
We then used 15HTL and 16HTL to purify mitochondria from these cells by incubation followed by washing and cell lysis. The crude supernatant was incubated with streptavidin-coated magnetic microbeads and washed. The bead-bound mitochondria were lysed, and the resulting solution was analyzed by SDS–PAGE/in-gel fluorescence (Fig. 5 A and B). The biotin-free ligands 5HTL and 6HTL gave no appreciable protein capture, but 100 nM biotin–JF646–HaloTag ligand (15HTL) and biotin–JF635–HaloTag ligand (16HTL) gave substantial capture efficiency of 84.2 ± 1.8% and 88.2 ± 1.1%, respectively (Fig. 5C). Use of 10-fold higher concentrations of 15HTL and 16HTL (1 µM) did not increase mitochondria pulldown efficiency (SI Appendix, Fig. S6), demonstrating that the numerous HaloTag proteins on each mitochondrion facilitate efficient capture, even without saturating the mitochondrial surface with the biotin-containing ligand. The lower in-gel fluorescence brightness for the wash and bound fractions of 15HTL or 16HTL compared to the wash and bound fractions of their parent dyes 5HTL or 6HTL (Fig. 5 B and C) stems from the variability of transient transfection and band broadening due to the larger ligand.
We performed the same protocol using the commercial biotin–HaloTag ligand (17HTL; Fig. 5D), which contains the standard PEG2–chloroalkane HaloTag ligand directly attached to the biotin carboxyl group. Pulse–chase labeling revealed that 17HTL achieved higher intracellular labeling (32.0 ± 9.3% at 100 nM and 92.1 ± 0.4% at 1 µM; SI Appendix, Fig. S7) than ligands 14HTL–16HTL but negligible mitochondrial capture efficiency at both 100 nM and 1 µM (8.6 ± 1.4%; Fig. 5 E and F), similar to the no-ligand control (7.0 ± 0.5%; SI Appendix, Fig. S8). We surmised the intimate association of ligand and protein in HaloTag conjugates with the short PEG2 linker (Fig. 1C) results in a biotin species less accessible for streptavidin binding. Previous attempts to remedy this problem by incorporating an extra PEG4 linker between the biotin and the chloroalkane yielded a molecule with low cell permeability, (60) rendering it unsuitable for experiments in live cells. Similar observations were made in a concurrent study where an extra PEG1 linker was incorporated between the biotin and HaloTag ligand to increase linker length but preserve cell permeability (61). These results demonstrate that the existing commercial biotin ligands are suboptimal for streptavidin-mediated affinity purification using the HaloTag system due to poor cell permeability or insufficient linker length. In contrast, inserting a low KL–Z dye like Si-rhodamine between the polar biotin and HaloTag ligand balances cellular permeability and functionality; biotin ligands 15HTL and 16HTL enter cells, efficiently label HaloTag proteins, enable confirmation of protein labeling by microscopy, and present a biotin moiety accessible for affinity capture (Figs. 3 and 4).
Protein Translocation Using JQ1–Rhodamine–HaloTag Ligands.
Having validated our design principles with biotin ligands, we next explored pharmacologically active multifunctional compounds. We appended JF–HaloTag ligands with (S)-JQ1, an inhibitor of the bromodomain and extraterminal motif (BET) family of proteins including bromodomain containing 4 (BRD4). Our goal was to develop reagents that could be added to cells and elicit rapid translocation of BRD4 to nuclear regions expressing the HaloTag fusions (Fig. 6A). We focused on Si-rhodamine-based ligands since they are fluorogenic (Fig. 3B) and show efficient cellular labeling (Fig. 4), circumventing the need to wash out the excess compound. As with the biotin compounds (Scheme 1), the 3-carboxyazetidine motif was used as a convenient attachment point for a (S)-JQ1 moiety (SI Appendix, Scheme S3), yielding (S)-JQ1–JF646–HaloTag ligand (18HTL) and (S)-JQ1–JF635–HaloTag ligand (19HTL; Fig. 6B and SI Appendix, Scheme S4).
Fig. 6.

Driving BRD4 translocation using JQ1-containing multifunctional HaloTag ligands. (A) Schematic illustrating the translocation of sfGFP–BRD4 using a JQ1-containing multifunctional HaloTag ligand. (B) Chemical structures of (S)-JQ1–JF646–HaloTag ligand (18HTL) and (S)-JQ1–JF635–HaloTag ligand (19HTL). (C) Spectral properties (λabs, λem, ε, and Φf), KL–Z, and logD7.4 of HaloTag ligands 18HTL, 19HTL, and their HaloTag (HT) conjugates; λabs/λem are in nm, and ε are in M−1cm−1. Spectral properties were measured in 10 mM HEPES, pH 7.3 and KL–Z measurements were performed in 1:1 (v/v) dioxane–water. The small ε of 19HTL prevented accurate measurement of Φf. (D) Absolute absorbance of 18HTL and 19HTL in the absence or presence (+HT) of excess HaloTag protein. (E) Plots of logD7.4 vs. logKL–Z for compounds based on JF646 (5, 5HTL, and 18HTL), and JF635 (6, 6HTL, and 19HTL) showing the consistent shift to higher logD7.4 values upon installation of the JQ1 moiety; the dotted line denotes region of optimal cellular permeability based on logD7.4. (F–H) Representative LLSM images (maximum intensity projections) of Neuro2A cells expressing coilin–HaloTag and sfGFP–BRD4 after incubation with 19HTL at 0, 52, and 90 min timepoints; (Scale bar, 5 μm.) (I) Cumulative rhodamine and BRD4 fluorescence intensity within HaloTag domains from LLSM images of Neuro2A cells expressing coilin–HaloTag and sfGFP–BRD4 upon incubation with 19HTL; n = 13 nuclei; error bars indicate mean ± SEM.
The trends in spectral properties for 18HTL and 19HTL were similar to their biotin-containing counterparts 15HTL and 16HTL; λabs and λem did not show substantial changes upon HaloTag binding, and the Φf of 18HTL increased (Fig. 6C). The lipophilic JQ1 moiety decreased the absorptivity relative to the biotin ligands with JF646-based 18HTL showing ε = 6,540 M−1cm−1 and 19HTL exhibiting ε = 1,570 M−1cm−1; binding to the HaloTag ligand increases ε to 158,000 M−1cm−1 and ε = 25,600 M−1cm−1, respectively (Fig. 6D). Compounds 18HTL and 19HTL did not show substantial increases in absorption or fluorescence when incubated with recombinant BRD4 (SI Appendix, Fig. S9), indicating that the fluorogenic effect observed in cells is mainly driven by HaloTag binding. Installation of the JQ1 functionality also lowered KL–Z and increased logD7.4, but this effect was relatively minor (Fig. 6E), similar to the results observed for the biotin-containing Si-rhodamine-based multifunctional ligands. The parent dye properties dominate in these multifunctional compounds even when attaching a hydrophobic moiety like JQ1.
The ability of JQ1 ligands to enter living cells and recruit BRD4 to defined genomic regions was evaluated using lattice light sheet fluorescence microscopy (LLSM). Neuro2a cells were transiently transfected with plasmids encoding three fusion proteins: i) HaloTag protein fused to coilin, which localizes to the nucleolus; ii) superfolder GFP–BRD4; and iii) histone H2B–mCherry as a nuclear marker. The Cajal body component coilin localizes in distinct puncta in the nucleus (62) compared to the diffuse euchromatic distribution of BRD4. Upon addition to cells, both (S)-JQ1–JF646–HaloTag ligand (18HTL) and (S)-JQ1–JF635–HaloTag ligand (19HTL) rapidly labeled the coilin–HaloTag in a fluorogenic manner (Fig. 6 F–H and SI Appendix, Fig. S11) and induced simultaneous BRD4 accumulation at coilin-rich sites in the nucleus (Fig. 6I), consistent with the high mobility of this protein (63, 64). Ligand 18HTL displayed higher fluorescent signal in the far-red channel compared to 19HTL (SI Appendix, Fig. S10), in line with the in vitro spectroscopic measurements (Fig. 6C). JF646-based 18HTL labeled faster than JF635-derived 19HTL, perhaps due to its lower logD7.4, but 19HTL ultimately provided higher GFP–BRD4 signal in the regions of interest (SI Appendix, Fig. S10).
Given its lower fluorescence background and more efficacious recruitment of BRD4, we focused on (S)-JQ1–JF635–HaloTag ligand (19HTL) for subsequent experiments. To test the generality of 19HTL in recruiting BRD4, we imaged cells expressing heterochromatin protein 1a (HP1a) fused to HaloTag (Fig. 7A). HP1a is localized within constitutive heterochromatin as its N-terminal chromodomain binds to methylated histone H3 (65). Consistent with the experiments in cells expressing coilin–HaloTag, adding 19HTL to cells with HP1a–HaloTag altered the uniform euchromatic distribution of BRD4 and localized it rapidly to HP1a (Fig. 7 B–D and SI Appendix, Fig. S12). Neither JF635–HaloTag ligand (6HTL), which lacks JQ1, nor (R)-JQ1–JF635–HaloTag ligand (20HTL; SI Appendix, Scheme S5), which contains the inactive enantiomer (R)-JQ1, elicited BRD4 translocation (Fig. 7E and SI Appendix, Figs. S13 and S14). Incubation with excess free JQ1 also inhibited BRD4 recruitment (SI Appendix, Fig. S15).
Fig. 7.

Driving BRD4 to heterochromatin alters chromatin state. (A) Schematic illustrating the translocation of sfGFP–BRD4 to constitutive heterochromatin using a JQ1-containing multifunctional HaloTag ligand and resulting histone H3.3 accumulation. (B–D) Representative LLSM images (maximum intensity projections) of Neuro2A cells expressing HP1a–HaloTag and sfGFP–BRD4 upon incubation with (S)-JQ1–JF635–HaloTag ligand (19HTL) at 0, 52, and 90 min timepoints; (Scale bar, 5 μm.) (E) Box-and-whisker plot of intensity of sfGFP–BRD4 signal within HP1a–HaloTag domains after incubation with JF635–HaloTag ligand (6HTL) or (S)-JQ1–JF635–HaloTag ligand (19HTL) at 90 min timepoint; whiskers indicate min–max; n ≥ 9 nuclei. (F–H) Representative LLSM maximum intensity projections of Neuro2A cells expressing HP1a–HaloTag, sfGFP–BRD4, and histone H3.3–SNAP-tag upon incubation with 19HTL and JFX554-SNAP-tag ligand (21STL) at 24 h timepoint; (Scale bar, 5 μm.) (I) Box-and-whisker plot of intensity of histone H3.3 signal within HP1a–HaloTag domains after incubation with JF635–HaloTag ligand (6HTL) or (S)-JQ1–JF635–HaloTag ligand (19HTL) and JFX554–SNAP-tag ligand (21STL) at 24 h timepoint; whiskers indicate min–max; n = 10 nuclei. For panels E and I, two-tailed Welch’s unpaired t-tests were used for significance testing following confirmation of data normality; *P < 0.033 and **P < 0.002.
Finally, we assessed whether the recruitment of BRD4 to the transcriptionally repressed constitutive heterochromatin domain had functional consequences. Cells expressing sfGFP–BRD4, HP1a–HaloTag, and histone H3.3–SNAP-tag were incubated with 19HTL and JFX554–SNAP-tag ligand (31) (21STL). As before, we observed translocation of BRD4 to HP1a–HaloTag domains, and we also saw depletion of histone-H3.3 from euchromatin and accumulation of H3.3 at the HaloTag fusion sites after 24 h (Fig. 7 F–H); this effect required the JQ1 functionality on the ligand (Fig. 7I and SI Appendix, Fig. S16). Histone H3.3 is usually absent in constitutive heterochromatin and accumulates in transcriptionally active nucleosomes (66–68). This accumulation of histone-H3.3 in heterochromatin is consistent with previous work using a JQ1-polyamide to translocate BRD4 to a specific gene loci, which resulted in increased transcription by releasing the paused RNA polymerase Pol II (69). Overall, this result demonstrates that targeting JQ1 to HP1a using 19HTL can substantially alter chromatin in living cells.
Conclusion
The ability to label specific proteins with synthetic small molecules in living cells is a powerful technique for biology (1–3). The generality of these systems has led to the development of many ligands to probe, perturb, or purify cellular components (Fig. 1). Nevertheless, designing cell-permeable ligands remains challenging, especially those with multiple functionalities. We adopted a medicinal chemistry approach by first measuring the logD7.4 values of free rhodamine dyes and their HaloTag ligands; we compared these against KL–Z and found an inverse correlation. This suggested that dyes with low KL–Z values, and therefore high distribution coefficients, could be useful scaffolds for creating cell-permeable multifunctional ligands (Fig. 2). We tested this idea by synthesizing biotin-containing HaloTag ligands based on four different dyes with decreasing KL–Z values: JF549, JF608, JF646, and JF635 (13HTL–16HTL; Fig. 3). Ligand 13HTL based on the high KL–Z/low logD7.4 dye JF549 showed poor intracellular labeling, whereas ligands 14HTL–16HTL, based on the low KL–Z/high logD7.4 dyes JF608, JF646, and JF635, showed more efficient labeling in various subcellular locations (Fig. 4). Ligands 15HTL and 16HTL permitted efficient affinity capture of mitochondria in contrast to the ineffectiveness of the commercial biotin–HaloTag ligand 17HTL (Fig. 5). We extended this strategy to prepare fluorogenic JQ1-containing ligands 18HTL and 19HTL, which efficiently translocated BRD4 from euchromatin to subnuclear regions containing coilin (Fig. 6) or the constitutive heterochromatin marker HP1a. The recruitment of BRD4 to HP1a appeared to increase the transcriptional activity of heterochromatin, as evidenced by a corresponding translocation of histone H3.3 (Fig. 7).
Looking forward, we expect the use of low KL–Z/high logD7.4 dyes as scaffolds will generate a palette of useful multifunctional ligands for biology. Although incorporating rhodamine into a complex molecular tool is not without cost, advances in fluorophore chemistry over the past two decades, (34–36) have simplified the synthesis of rhodamines. We have demonstrated that this additional effort is warranted—adding the Si-rhodamine moieties in biotin-containing ligands 15HTL and 16HTL was critical in allowing efficient capture of mitochondria, whereas the commercial ligand 17HTLwas too short to give appreciable affinity capture after incubation with living cells. The inclusion of a fluorophore also allowed facile quantification of the labeling in living cells through fluorescence microscopy and capture efficiency using SDS–PAGE. For JQ1-containing ligands 18HTL and 19HTL, the fluorogenic dye was necessary to observe both the labeling of HaloTag fusion proteins and the translocation of BRD4 inside living cells without intermediate washing steps. Overall, designing other multifunctional ligands by leveraging the structure–activity relationships of rhodamines (26, 28–30, 36, 70–72) will yield a valuable toolbox of cell-permeable probes, where what you see is what you get.
Materials and Methods
Detailed descriptions of the materials and methods are provided in the supporting information. Multifunctional rhodamine–HaloTag ligands (13HTL–16HTL and 18HTL–20HTL) were synthesized using palladium-catalyzed cross-coupling reactions to install 3-carboxyazetidine moieties onto rhodamine scaffolds, followed by amide bond formation with biotin–PEG2–NH2, (S)-JQ1–PEG2–NH2, or (R)-JQ1–PEG2–NH2. Spectroscopic properties (λabs, λem, ε, and Φf) were determined in 10 mM HEPES, pH 7.3. The lactone–zwitterion equilibrium constants (KL–Z) were measured in 1:1 (v/v) dioxane–water mixtures. Octanol–water distribution coefficients (logD7.4) were determined by miniaturized shake-flask partitioning experiments using PBS (pH 7.4) and 1-octanol. Cell culture experiments employed HEK293T, U2OS, and Neuro2a cells transfected with HaloTag fusion constructs and labeled with ligands (100 nM to 1 μM, 0.5 to 2 h at 37 °C), followed by fluorescence microscopy using confocal or lattice light-sheet microscopy. Affinity purification studies utilized streptavidin magnetic beads to capture biotin-labeled HaloTag conjugates, with analysis by SDS-PAGE and in-gel fluorescence detection.
Supplementary Material
Appendix 01 (PDF)
Acknowledgments
We are indebted to Sharon King and Rebecca Petersen of the Department of Developmental Neurobiology Neuroimaging Laboratory at St. Jude Children’s Research Hospital for maintaining and aligning the instruments used in this study’s lattice light-sheet imaging sessions. This article is subject to HHMI’s Open Access to Publications policy. HHMI lab heads have previously granted a nonexclusive CC BY 4.0 license to the public and a sublicensable license to HHMI in their research articles. Pursuant to those licenses, the author-accepted manuscript of this article can be made freely available under a CC BY 4.0 license immediately upon publication. P.K., A.N.T., J.B.G., and L.D.L. were supported by the HHMI. E.R.C. was supported by grants R01 MH061876, R35 NS097362, and R35 NS136306 from the NIH. E.R.C. is an Investigator of the HHMI. J.D.V. was supported by the Postdoctoral Individual National Research Service Award F32 NS098604 from the NIH and the Warren Alpert Distinguished Scholars Fellowship Award. J.D.V. and D.J.S. are funded by the American Lebanese Syrian Associated Charities. The D.J.S. lab is also funded by grants R01 NS066936, R01 NS104029, and R01 NS139519 from the National Institute of Neurological Disorders. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Author contributions
P.K., J.D.V., A.N.T., E.R.C., D.J.S., and L.D.L. designed research; P.K., J.D.V., A.N.T., K.R.C., E.T.W., A.X.A., J.B.G., and D.J.S. performed research; P.K., J.D.V., A.N.T., K.R.C., J.B.G., and D.J.S. analyzed data; and P.K. and L.D.L. wrote the paper.
Competing interests
L.D.L. is a scientific cofounder and shareholder of Eikon Therapeutics. Patents and patent applications covering azetidine-containing rhodamine dyes including multifunctional derivatives (with inventors P.K., J.B.G., and L.D.L.) are assigned to HHMI.
Footnotes
This article is a PNAS Direct Submission.
Preprint Servers: This manuscript was deposited as a preprint on bioRxiv under the CC-BY-ND 4.0 International license.
Data, Materials, and Software Availability
The authors welcome reasonable requests for pre- and noncommercial materials. All data are included in the manuscript and SI Appendix or can be requested from the authors.
Supporting Information
References
- 1.Xue L., Karpenko I. A., Hiblot J., Johnsson K., Imaging and manipulating proteins in live cells through covalent labeling. Nat. Chem. Biol. 11, 917–923 (2015). [DOI] [PubMed] [Google Scholar]
- 2.Lavis L. D., Chemistry is dead. Long Live Chem. 56, 5165–5170 (2017). [DOI] [PubMed] [Google Scholar]
- 3.Kumar P., Lavis L. D., Melding synthetic molecules and genetically encoded proteins to forge new tools for neuroscience. Annu. Rev. Neurosci. 45, 131–150 (2022). [DOI] [PubMed] [Google Scholar]
- 4.Baskin J. M., et al. , Copper-free click chemistry for dynamic in vivo imaging. Proc Natl. Acad. Sci. U.S.A. 104, 16793–16797 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Scinto S. L., et al. , Bioorthogonal chemistry. Nat. Rev. Methods Primers 1, 30 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Chin J. W., Expanding and reprogramming the genetic code. Nature 550, 53–60 (2017). [DOI] [PubMed] [Google Scholar]
- 7.Brown W., Liu J., Deiters A., Genetic code expansion in animals. ACS Chem. Biol. 13, 2375–2386 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Chen I., Howarth M., Lin W., Ting A. Y., Site-specific labeling of cell surface proteins with biophysical probes using biotin ligase. Nat. Methods 2, 99–104 (2005). [DOI] [PubMed] [Google Scholar]
- 9.Yin J., et al. , Genetically encoded short peptide tag for versatile protein labeling by Sfp phosphopantetheinyl transferase. Proc. Natl. Acad. Sci. U.S.A. 102, 15815–15820 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Popp M. W., Antos J. M., Grotenbreg G. M., Spooner E., Ploegh H. L., Sortagging: A versatile method for protein labeling. Nat. Chem. Biol. 3, 707–708 (2007). [DOI] [PubMed] [Google Scholar]
- 11.Watanabe S., Mizukami S., Hori Y., Kikuchi K., Multicolor protein labeling in living cells using mutant beta-lactamase-tag technology. Bioconjug. Chem. 21, 2320–2326 (2010). [DOI] [PubMed] [Google Scholar]
- 12.Zakeri B., et al. , Peptide tag forming a rapid covalent bond to a protein, through engineering a bacterial adhesin. Proc. Natl. Acad. Sci. U.S.A. 109, E690–E697 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Los G. V., et al. , HaloTag: a novel protein labeling technology for cell imaging and protein analysis. ACS Chem. Biol. 3, 373–382 (2008). [DOI] [PubMed] [Google Scholar]
- 14.Keppler A., et al. , A general method for the covalent labeling of fusion proteins with small molecules in vivo. Nat. Biotechno.l 21, 86–89 (2003). [DOI] [PubMed] [Google Scholar]
- 15.Gautier A., et al. , An engineered protein tag for multiprotein labeling in living cells. Chem. Biol. 15, 128–136 (2008). [DOI] [PubMed] [Google Scholar]
- 16.England C. G., Luo H., Cai W., HaloTag technology: A versatile platform for biomedical applications. Bioconjug. Chem. 26, 975–986 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ohana R. F., et al. , Deciphering the cellular targets of bioactive compounds using a chloroalkane capture tag. ACS Chem. Biol. 10, 2316–2324 (2015). [DOI] [PubMed] [Google Scholar]
- 18.Murrey H. E., et al. , Systematic evaluation of bioorthogonal reactions in live cells with clickable HaloTag ligands: Implications for intracellular imaging. J. Am. Chem. Soc. 137, 11461–11475 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Peraro L., et al. , Cell penetration profiling using the chloroalkane penetration assay. J. Am. Chem. Soc. 140, 11360–11369 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hoelzel C. A., Zhang X., Visualizing and manipulating biological processes by using HaloTag and SNAP-Tag technologies. ChemBioChem 21, 1935–1946 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wilhelm J., et al. , Kinetic and structural characterization of the self-labeling protein tags HaloTag7, SNAP-tag, and CLIP-tag. Biochemistry 60, 2560–2575 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Deo C., et al. , The HaloTag as a general scaffold for far-red tunable chemigenetic indicators. Nat. Chem. Biol. 17, 718–723 (2021). [DOI] [PubMed] [Google Scholar]
- 23.Abdelfattah A. S., et al. , Bright and photostable chemigenetic indicators for extended in vivo voltage imaging. Science 365, 699–704 (2019). [DOI] [PubMed] [Google Scholar]
- 24.Lin D., et al. , Time-tagged ticker tapes for intracellular recordings. Nat. Biotechnol. 41, 631–639 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Huppertz M. C., et al. , Recording physiological history of cells with chemical labeling. Science 383, 890–897 (2024). [DOI] [PubMed] [Google Scholar]
- 26.Lardon N., et al. , Systematic tuning of rhodamine spirocyclization for super-resolution microscopy. J. Am. Chem. Soc. 143, 14592–14600 (2021). [DOI] [PubMed] [Google Scholar]
- 27.Grimm J. B., et al. , A general method to fine-tune fluorophores for live-cell and in vivo imaging. Nat. Methods 14, 987–994 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wang L., et al. , A general strategy to develop cell permeable and fluorogenic probes for multicolour nanoscopy. Nat. Chem. 12, 165–172 (2020). [DOI] [PubMed] [Google Scholar]
- 29.Zheng Q., et al. , Rational design of fluorogenic and spontaneously blinking labels for super-resolution imaging. ACS Cent. Sci. 5, 1602–1613 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Bucevicius J., Kostiuk G., Gerasimaite R., Gilat T., Lukinavicius G., Enhancing the biocompatibility of rhodamine fluorescent probes by a neighbouring group effect. Chem. Sci. 11, 7313–7323 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Grimm J. B., et al. , A general method to improve fluorophores using deuterated auxochromes. JACS Au 1, 690–696 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Marques S. M., et al. , Mechanism-based strategy for optimizing halotag protein labeling. JACS Au 2, 1324–1337 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Grimm J. B., Lavis L. D., Synthesis of rhodamines from fluoresceins using Pd-catalyzed C-N cross-coupling. Org. Lett. 13, 6354–6357 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Dwight S. J., Levin S., Scalable regioselective synthesis of rhodamine dyes. Org. Lett. 18, 5316–5319 (2016). [DOI] [PubMed] [Google Scholar]
- 35.Grimm J. B., Brown T. A., Tkachuk A. N., Lavis L. D., General synthetic method for Si-fluoresceins and Si-rhodamines. ACS Cent. Sci. 3, 975–985 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Grimm J. B., et al. , A general method to optimize and functionalize red-shifted rhodamine dyes. Nat. Methods 17, 815–821 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Hong H., et al. , HaloTag as a reporter gene: Positron emission tomography imaging with (64)Cu-labeled second generation HaloTag ligands. Am. J. Transl. Res. 5, 291–302 (2013). [PMC free article] [PubMed] [Google Scholar]
- 38.Farrants H., Hiblot J., Griss R., Johnsson K., Rational design and applications of semisynthetic modular biosensors: SNIFITs and LUCIDs. Methods Mol. Biol. 1596, 101–117 (2017). [DOI] [PubMed] [Google Scholar]
- 39.Deo C., Sheu S. H., Seo J., Clapham D. E., Lavis L. D., Isomeric tuning yields bright and targetable red Ca(2+) indicators. J. Am. Chem. Soc. 141, 13734–13738 (2019). [DOI] [PubMed] [Google Scholar]
- 40.Deal P. E., et al. , Covalently tethered rhodamine voltage reporters for high speed functional imaging in brain tissue. J. Am. Chem. Soc. 142, 614–622 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Mertes N., et al. , Fluorescent and bioluminescent calcium indicators with tuneable colors and affinities. J. Am. Chem. Soc. 144, 6928–6935 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Xue L., et al. , Probing coenzyme A homeostasis with semisynthetic biosensors. Nat. Chem. Biol. 19, 346–355 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Sallin O., et al. , Semisynthetic biosensors for mapping cellular concentrations of nicotinamide adenine dinucleotides. eLife 7, e32638 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Heynck L., Matthias J., Bossi M. L., Butkevich A. N., Hell S. W., N-cyanorhodamines: Cell-permeant, photostable and bathochromically shifted analogues of fluoresceins. Chem. Sci. 13, 8297–8306 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Martin Y. C., A bioavailability score. J. Med. Chem. 48, 3164–3170 (2005). [DOI] [PubMed] [Google Scholar]
- 46.Waring M. J., Defining optimum lipophilicity and molecular weight ranges for drug candidates-Molecular weight dependent lower logD limits based on permeability. Bioorg. Med. Chem. Lett. 19, 2844–2851 (2009). [DOI] [PubMed] [Google Scholar]
- 47.Waring M. J., Lipophilicity in drug discovery. Expert Opin. Drug Discov. 5, 235–248 (2010). [DOI] [PubMed] [Google Scholar]
- 48.Landry M. L., Crawford J. J., LogD contributions of substituents commonly used in medicinal chemistry. ACS Med. Chem. Lett. 11, 72–76 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Tinworth C. P., Young R. J., Facts, patterns, and principles in drug discovery: Appraising the Rule of 5 with measured physicochemical data. J. Med. Chem. 63, 10091–10108 (2020). [DOI] [PubMed] [Google Scholar]
- 50.Grimm J. B., et al. , A general method to improve fluorophores for live-cell and single-molecule microscopy. Nat. Methods 12, 244–250 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Fu M., Xiao Y., Qian X., Zhao D., Xu Y., A design concept of long-wavelength fluorescent analogs of rhodamine dyes: Replacement of oxygen with silicon atom. Chem. Commun. 15, 1780–1782 (2008). [DOI] [PubMed] [Google Scholar]
- 52.Koide Y., Urano Y., Hanaoka K., Terai T., Nagano T., Evolution of group 14 rhodamines as platforms for near-infrared fluorescence probes utilizing photoinduced electron transfer. ACS Chem. Biol. 6, 600–608 (2011). [DOI] [PubMed] [Google Scholar]
- 53.Lukinavičius G., et al. , A near-infrared fluorophore for live-cell super-resolution microscopy of cellular proteins. Nature Chem. 5, 132–139 (2013). [DOI] [PubMed] [Google Scholar]
- 54.Andres A., et al. , Setup and validation of shake-flask procedures for the determination of partition coefficients (logD) from low drug amounts. Eur. J. Pharm. Sci. 76, 181–191 (2015). [DOI] [PubMed] [Google Scholar]
- 55.Livnah O., Bayer E. A., Wilchek M., Sussman J. L., Three-dimensional structures of avidin and the avidin-biotin complex. Proc. Natl. Acad. Sci. U.S.A. 90, 5076–5080 (1993). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Johnson L. V., Walsh M. L., Chen L. B., Localization of mitochondria in living cells with rhodamine 123. Proc. Natl. Acad. Sci. U. S. A. 77, 990–994 (1980). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Kim Y. K., et al. , The binding of fluorophores to proteins depends on the cellular environment. Angew. Chem. Int. Ed. Engl. 50, 2761–2763 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Nemoto Y., De Camilli P., Recruitment of an alternatively spliced form of synaptojanin 2 to mitochondria by the interaction with the PDZ domain of a mitochondrial outer membrane protein. EMBO J. 18, 2991–3006 (1999). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Vevea J. D., Chapman E. R., Acute disruption of the synaptic vesicle membrane protein synaptotagmin 1 using knockoff in mouse hippocampal neurons. eLife 9, e56469 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Svendsen S., Zimprich C., McDougall M. G., Klaubert D. H., Los G. V., Spatial separation and bidirectional trafficking of proteins using a multi-functional reporter. BMC Cell Biol. 9, 17 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Yadav A. K., et al. , A Biotin-HaloTag ligand enables efficient affinity capture of protein variants from live cells. J. Cell Biol. 224, e202410025 (2025). [DOI] [PubMed] [Google Scholar]
- 62.Sabari B. R., et al. , Coactivator condensation at super-enhancers links phase separation and gene control. Science 361, eaar3958 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Dey A., Chitsaz F., Abbasi A., Misteli T., Ozato K., The double bromodomain protein Brd4 binds to acetylated chromatin during interphase and mitosis. Proc. Natl. Acad. Sci. U.S.A. 100, 8758–8763 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Gibson W. J., et al. , Bifunctional small molecules that induce nuclear localization and targeted transcriptional regulation. J. Am. Chem. Soc. 145, 26028–26037 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Eissenberg J. C., Elgin S. C. R., HP1a: a structural chromosomal protein regulating transcription. Trends Genet. 30, 103–110 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.McKittrick E., Gafken P. R., Ahmad K., Henikoff S., Histone H3.3 is enriched in covalent modifications associated with active chromatin. Proc. Natl. Acad. Sci. U.S.A. 101, 1525–1530 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Tafessu A., et al. , H3.3 contributes to chromatin accessibility and transcription factor binding at promoter-proximal regulatory elements in embryonic stem cells. Genome Biol. 24, 25 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Shi L., Wen H., Shi X., The histone variant H3.3 in transcriptional regulation and human disease. J. Mol. Biol. 429, 1934–1945 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Erwin G. S., et al. , Synthetic transcription elongation factors license transcription across repressive chromatin. Science 358, 1617–1622 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Morstein J., et al. , Medium-chain lipid conjugation facilitates cell-permeability and bioactivity. J. Am. Chem. Soc. 144, 18532–18544 (2022). [DOI] [PubMed] [Google Scholar]
- 71.Zhou X., Lai R., Beck J. R., Li H., Stains C. I., Nebraska red: A phosphinate-based near-infrared fluorophore scaffold for chemical biology applications. Chem. Commun. 52, 12290–12293 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Hanaoka K., et al. , Synthesis of unsymmetrical Si-rhodamine fluorophores and application to a far-red to near-infrared fluorescence probe for hypoxia. Chem. Commun. 54, 6939–6942 (2018). [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Appendix 01 (PDF)
Data Availability Statement
The authors welcome reasonable requests for pre- and noncommercial materials. All data are included in the manuscript and SI Appendix or can be requested from the authors.



