How intrinsically disordered regions (IDRs) shape chromatin binding and nuclear organization of transcription factors (TFs) remains unclear. We used proximity-assisted photoactivation (PAPA), a single-molecule protein-protein interaction sensor, to investigate how IDRs might influence TF interactions with each other and with chromatin in live cells. We found that the Sp1 DNA binding domain (DBD) interacted poorly with chromatin and did not colocalize with Sp1. Weak interaction of the isolated IDR with full-length Sp1 was enhanced by fusion to various unrelated DBDs. Live imaging of Drosophila polytene chromosomes confirmed that an IDR could confer sharp locus specificity on an otherwise nonspecific DBD. These findings suggest that TF specificity emerges on chromatin when ensembles of diverse, unstructured interactions are scaffolded by transient DNA contacts.

Immune responses in tissues display complex spatial patterns of gene expression that are linked to disease outcomes. However, the processes that generate these patterns-including the relative roles of noisy gene expression dynamics, microbial transport, and tissue anatomy-are poorly understood. As a tractable model of spatial immune responses, we investigated heterogeneous expression of antimicrobial peptides in the larval fly fat body, an organ functionally analogous to the liver. To quantify single-cell antimicrobial peptide expression dynamics in the fat body, we developed a protocol for light sheet fluorescence microscopy of whole, live larvae. Using this approach, we discovered that individual fat body cells express antimicrobial peptides at approximately constant rates following infection, but that the average rate varies along the anterior-posterior axis of the fat body, with rapid expression in the anterior and posterior lobes. Overexpression of immune signaling components and analysis of spatial transcriptomes revealed that these tissue microenvironments are predefined independently of infection, with the rate-limiting step of antimicrobial peptide induction downstream of peptidoglycan sensing. The locations of these microevironments correlate with heartbeat-dependent fluid flow in a manner resembling the strategic positioning of immune cells in the liver, gut, and lymph nodes of mammals. We speculate that this spatial compartmentalization helps the fat body efficiently perform its diverse metabolic, enzymatic, and immunological functions.

Transcription factors regulate gene expression with DNA-binding domains (DBDs) and activation domains. Despite evidence to the contrary, DBDs are often assumed to be the primary mediators of transcription factor (TF) interactions with DNA and chromatin. Here, we used fast single-molecule tracking of transcription factors in living cells to show that short activation domains can control the fraction of molecules bound to chromatin. Stronger activation domains have higher bound fractions and longer residence times on chromatin. Furthermore, mutations that increase activation domain strength also increase chromatin binding. This trend was consistent in four different activation domains and their mutants. This effect further held for activation domains appended to three different structural classes of DBDs. Stronger activation domains with high chromatin-bound fractions also exhibited increased binding to the p300 coactivator in proximity-assisted photoactivation experiments. Genome-wide measurements indicate these activation domains primarily control the occupancy of binding rather than the genomic location. Taken together, these results demonstrate that very short activation domains play a major role in tethering transcription factors to chromatin.

Synthetic fluorophores built on a classic rhodamine scaffold are essential for modern microscopy. An attractive feature of synthetic fluorophores is their potential to access long-wavelength excitation and emission profiles (>650 nm) that are difficult to achieve through genetically encoded methods like fluorescent proteins. Here, we present a new strategy to achieve excitation and emission above 650 nm: bis(trifluoromethyl)carborhodamine dyes, or BF dyes. In BF dyes, the geminal methyl groups of carborhodamines are replaced with trifluoromethyl (CF3) groups. This accomplishes two things. First, CF3 groups substantially red shift in the optical profile by over 90 nm compared to classic, oxygen-bridged rhodamine dyes, resulting in a dye framework with excitation and emission profiles >650 nm and high brightness (extinction coefficient >140,000 M-1 cm-1 and fluorescent quantum yield of 33%). Second, CF3 groups render BF dyes fluorogenic, by shifting the position of the open-closed equilibrium of the colorless lactone and colored zwitterion form, resulting in up to a 30-fold improvement in fluorogenicity compared to silicon-bridged rhodamines. In this paper, we present the design and computational analysis of BF dyes; synthetic studies to access over a dozen new BF dyes through a unique, late-stage functionalization strategy; spectra characterization; and applications in advanced fluorescence microscopy including no-wash intracellular labeling, functional imaging with chemigenetic indicators, and single molecule tracking in living cells. Together, this report shows that bis(trifluoromethyl)carborhodamine dyes provide a complementary approach to achieving long-wavelength, fluorogenic dyes for live cell microscopy that do not rely on dimethyl silicon rhodamines.

High-speed volumetric imaging of whole-organism dynamics is often constrained by trade-offs between speed, resolution, and imaging depth. We present the M25 microscope, a 25-camera-array, aberration-corrected refocusing multifocus imaging system that captures 3D volumes simultaneously across 25 focal planes using a synchronized array of machine-vision cameras. Each camera incorporates a custom-blazed grating to correct chromatic dispersion, enabling a simplified, sensitive, and scalable multifocus setup for large fields of view while maintaining high spatial resolution across the imaging volume. M25 achieves imaging speeds of >100 volumes per second over imaging volumes of 180 x 180 x 50 mu m. This method enables both noninvasive, label-free brightfield and highly sensitive fluorescence imaging. We demonstrate its capabilities in 3D particle tracking, fluorescent and brightfield imaging of D. melanogaster larval dynamics, and C. elegans locomotion and neural activity. This method enables fast and sensitive 3D imaging for biological studies and has potential applications across a broad range of diffractive imaging modalities. (c) 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

Type II nuclear receptors (T2NRs) require heterodimerization with a common partner, the retinoid X receptor (RXR), to bind cognate DNA recognition sites in chromatin. Based on previous biochemical and overexpression studies, binding of T2NRs to chromatin is proposed to be regulated by competition for a limiting pool of the core RXR subunit. However, this mechanism has not yet been tested for endogenous proteins in live cells. Using single-molecule tracking (SMT) and proximity-assisted photoactivation (PAPA), we monitored interactions between endogenously tagged RXR and retinoic acid receptor (RAR) in live cells. Unexpectedly, we find that higher expression of RAR, but not RXR, increases heterodimerization and chromatin binding in U2OS cells. This surprising finding indicates the limiting factor is not RXR but likely its cadre of obligate dimer binding partners. SMT and PAPA thus provide a direct way to probe which components are functionally limiting within a complex TF interaction network providing new insights into mechanisms of gene regulation in vivo with implications for drug development targeting nuclear receptors.

Cells are built from vast networks of interdependent molecular interactions. Here, we combine proximity-assisted photoactivation (PAPA) with automated fast single-molecule tracking (fSMT) to probe subunit interactions within endogenous protein complexes in live human cells. PAPA-fSMT revealed that the inactive positive transcription elongation factor b (P-TEFb):7SK ribonucleoprotein complex is predominantly mobile, not tethered to chromatin, and detected interaction of specific heterogeneous nuclear ribonucleoproteins (hnRNPs) with the 7SK complex. Cyclin-dependent kinase 9 (Cdk9) inhibition liberated hnRNP R from large RNAs, increased hnRNP R binding to 7SK, and evicted P-TEFb from 7SK within minutes-consistent with rapid, homeostatic negative feedback regulation of P-TEFb by competing protein-RNA interactions. Association with the coactivator BRD4 increased P-TEFb chromatin binding, which depended on the BRD4 bromodomains. Finally, PAPA detected the release of P-TEFb from 7SK by the HIV transcriptional activator Tat. Our results illuminate aspects of P-TEFb regulation that were previously inaccessible in live cells and open a route to probe subunit interactions and exchange within endogenous regulatory complexes.

Eukaryotic transcription factors (TFs) contain both structured DNA-binding domains (DBDs) and intrinsically disordered regions (IDRs). While the structures and sequence preferences of DBDs have been extensively characterized, the role of IDR-mediated interactions in chromatin binding and nuclear organization remains poorly understood, in part because these interactions have been difficult to measure in living cells. Here, we use a recently developed single-molecule technique, proximity-assisted photoactivation (PAPA), to investigate how IDRs influence TF associations with each other and with chromatin, focusing on the factors Sp1 and Klf1. We find that the number and patterning of aromatic and basic residues within IDRs govern both TF self-association and chromatin binding. Unexpectedly, the isolated DBD of Sp1 binds chromatin very weakly and non-specifically. The isolated IDR, by contrast, interacts poorly with chromatin-bound wild-type Sp1, yet this interaction is enhanced when even minimal DNA-binding capacity is restored. Strikingly, replacing Sp1's native DBD with those of heterologous TFs recovers both IDR-mediated interactions and chromatin association, despite divergent sequence preferences. PAPA measurements also reveal extensive heterotypic interactions between wild-type Sp1 and other TFs. Together, these results establish PAPA as a powerful method for studying unstructured interactions in their native context and suggest that IDRs participate in widespread cooperative associations scaffolded by transient DBD-DNA contacts, which concentrate disordered regions along chromatin. In contrast to classical models, we propose that TF specificity in vivo emerges not solely from DBD sequence preferences, but from a constellation of weak, dynamic, and diverse interactions mediated by IDRs.

Lineage transcription factors (TFs) provide one regulatory level of differentiation crucial for the generation and maintenance of healthy tissues. To probe TF function by measuring their dynamics during adult intestinal homeostasis, we established HILO-illumination-based live-cell single-molecule tracking (SMT) in mouse small intestinal enteroid monolayers recapitulating tissue differentiation hierarchies in vitro. To increase the throughput, capture cellular features, and correlate morphological characteristics with diffusion parameters, we developed an automated imaging and analysis pipeline, broadly applicable to two-dimensional culture systems. Studying two absorptive lineage-determining TFs, we found an expression level-independent contrasting diffusive behavior: while Hes1, key determinant of absorptive lineage commitment, displays a large cell-to-cell variability and an average fraction of DNA-bound molecules of ∼32%, Hnf4g, conferring enterocyte identity, exhibits more uniform dynamics and a bound fraction of ∼56%. Our results suggest that TF diffusive behavior could indicate the progression of differentiation and modulate early versus late differentiation within a lineage.

Sustained androgen receptor (AR) signaling during relapse is a central driver of metastatic castration- resistant prostate cancer (mCRPC). Current AR antagonists, such as enzalutamide, fail to provide long- term benefit for the mCRPC patients who have dramatic increases in AR expression. Here, we report AR antagonists with efficacy in AR- overexpressing models. These molecules bind to the ligand- binding domain of the AR, promote AR localization to the nucleus, yet potently and selectively down- regulate AR- target genes. The molecules BG-15a and the pharmacokinetically optimized BG-15n elicit a decrease in cell and tumor growth in vitro and in vivo in models of mCRPC. BG-15a/n treatment causes the collapse of chromatin loops between enhancers and promoters at key genes in the AR- driven epigenome. AR binding in the promoter, as well as 3D chromatin clustering, is needed for genes to respond. BG-15a/n represent promising agents for treating patients with relapsed AR- driven mCRPC tumors.

RNA polymerase II (RNA Pol II)-mediated transcription is a critical, highly regulated process aided by protein complexes at distinct steps. Here, to investigate RNA Pol II and transcription-factor-binding and dissociation dynamics, we generated endogenous photoactivatable-GFP (PA-GFP) and HaloTag knockins using CRISPR-Cas9, allowing us to track a population of molecules at the induced Hsp70 loci in Drosophila melanogaster polytene chromosomes. We found that early in the heat-shock response, little RNA Pol II and DRB sensitivity-inducing factor (DSIF) are reused for iterative rounds of transcription. Surprisingly, although PAF1 and Spt6 are found throughout the gene body by chromatin immunoprecipitation (ChIP) assays, they show markedly different binding behaviors. Additionally, we found that PAF1 and Spt6 are only recruited after positive transcription elongation factor (P-TEFb)-mediated phosphorylation and RNA Pol II promoter-proximal pause escape. Finally, we observed that PAF1 may be expendable for transcription of highly expressed genes where nucleosome density is low. Thus, our live-cell imaging data provide key constraints to mechanistic models of transcription regulation.

Epiphytic microbes are those that live for some or all of their life cycle on the surface of plant leaves. Leaf surfaces are a topologically complex, physicochemically heterogeneous habitat that is home to extensive, mixed communities of resident and transient inhabitants from all three domains of life. In this review, we discuss the origins of leaf surface microbes and how different biotic and abiotic factors shape their communities. We discuss the leaf surface as a habitat and microbial adaptations which allow some species to thrive there, with particular emphasis on microbes that occupy the continuum between epiphytic specialists and phytopathogens, groups which have considerable overlap in terms of adapting to the leaf surface and between which a single virulence determinant can move a microbial strain. Finally, we discuss the recent findings that the wheat pathogenic fungus Zymoseptoria tritici spends a considerable amount of time on the leaf surface, and ask what insights other epiphytic organisms might provide into this pathogen, as well as how Z. tritici might serve as a model system for investigating plant–microbe-microbe interactions on the leaf surface.

How molecules interact governs how they move. Single-molecule tracking (SMT) thus provides a unique window into the dynamic interactions of biomolecules within live cells. Using transcription regulation as a case study, we describe how SMT works, what it can tell us about molecular biology, and how it has changed our perspective on the inner workings of the nucleus. We also describe what SMT cannot yet tell us and how new technical advances seek to overcome its limitations. This ongoing progress will be imperative to address outstanding questions about how dynamic molecular machines function in live cells.

Abnormal α-synuclein (α-syn) aggregation characterizes α-synucleinopathies, including Parkinson's disease (PD) and multiple system atrophy (MSA). However, no suitable positron emission tomography (PET) radiotracer for imaging α-syn in PD and MSA exists currently. Our structure-activity relationship studies identified 4-methoxy-N-(4-(3-(pyridin-2-yl)-3,8-diazabicyclo[3.2.1]octan-8-yl)phenyl)benzamide (4i) as a PET radiotracer candidate for imaging α-syn. In vitro assays revealed high binding of 4i to recombinant α-syn fibrils (inhibition constant (Ki) = 6.1 nM) and low affinity for amyloid beta (Aβ) fibrils in Alzheimer's disease (AD) homogenates. However, [3H]4i also exhibited high specific binding to AD, progressive supranuclear palsy, and corticobasal degeneration tissues as well as PD and MSA tissues, suggesting notable affinity to tau. Nevertheless, the specific binding to pathologic α-syn aggregates in MSA post-mortem brain tissues was significantly higher than in PD tissues. This finding demonstrated the potential use of [11C]4i as a PET tracer for imaging α-syn in MSA patients. Nonhuman primate PET studies confirmed good brain uptake and rapid washout for [11C]4i.

Transcription coactivators are proteins or protein complexes that mediate transcription factor (TF) function. However, they lack DNA-binding capacity, prompting the question of how they engage target loci. Three non-exclusive hypotheses have been posited: coactivators are recruited by complexing with TFs, by binding histones through epigenetic reader domains, or by partitioning into condensates through their extensive intrinsically disordered regions. Using p300 as a prototypical coactivator, we systematically mutated its annotated domains and show by single-molecule tracking in live U2OS cells that coactivator-chromatin binding depends entirely on combinatorial binding of multiple TF-interaction domains. Furthermore, we demonstrate that acetyltransferase activity opposes p300-chromatin association and that the N-terminal TF-interaction domains regulate that activity. Single TF-interaction domains are insufficient for chromatin binding and regulation of catalytic activity, implying a principle that we speculate could broadly apply to eukaryotic gene regulation: a TF must act in coordination with other TFs to recruit coactivator activity.

Phytopathogenic fungi pose a serious threat to global food security. Next-generation sequencing technologies, such as transcriptomics, are increasingly used to profile infection, assess environmental adaptation and gauge host-responses. The accumulation of these large-scale data has created the opportunity to employ new computational methods to gain greater biological insights. Machine learning approaches, that learn to identify patterns in complex data sets, have recently been applied to the field of plant-pathogen interactions. Here, we apply a machine learning approach to transcriptomics data for the fungal pathogen Zymoseptoria tritici , to predict the onset of infection as measured by timing of the appearance of necrosis. We present a method for identifying the most important genes that predict infection timings, accurately classify isolates as early and late infectors and predict the timing of infection of ‘novel’ isolates using only a subset of the data. These methods and the genes identified further demonstrate the use of these tools in the field of plant-pathogen interactions and have implications for the identification of biomarkers for disease monitoring and forecasting. Fungi that infect plants pose a serious threat to global food security. Methods to study these pathogens generate vast amounts of data that create new opportunities for computational tools to analyse them. Machine learning methods can learn patterns in complex data such as when genes are turned on or off in fungal plant pathogens. In this study we use machine learning approaches to predict the onset of infection in several isolates of an important fungal pathogen. We show that these methods can identify a small group of genes that are predictive of the infection onset. We can even use these methods on ‘novel’ isolates to infer the likely timing of disease development. Our work has implications for plant disease diagnosis, monitoring and forecasting.

Zymoseptoria tritici is an economically damaging fungal pathogen of wheat which is able to survive for long periods on the leaf surface. In this environment, the fungus is exposed to many stresses, including fluctuations in temperature, UV radiation, drying, and foliar fungicide applications. We observed biofilm-like cell aggregations on the surface of wheat leaves infected with Z. tritici in both compatible and non-compatible interactions. A literature search revealed few examples of plant pathogenic fungi forming biofilms, but demonstrated that such biofilms have a number of key characteristics, which are shared with other biofilmforming microbes. These include adhesion of cells to the substrate, production of extracellular matrix, altered gene expression and increased tolerance to various stresses. We used a combination of microscopy, qRT-PCR and stress tolerance assays to determine whether putative Z. tritici biofilms possessed these diagnostic characteristics. We show that Z. tritici biofilms resemble in form and function those formed by other filamentous and dimorphic fungi, producing extra-cellular matrix in which cells become embedded, creating layers of hyphal bundles and blastospores. These biofilms show increased tolerance to drying and high temperature. There is also isolate-dependent resistance to reactive oxygen stress and the fungicide carboxin. Taken together, these findings demonstrate that Z. tritici is indeed able to produce genuine biofilms.