Intrinsically Disordered Regions Direct Transcription Factor In Vivo Binding Specificity

Intrinsically disordered regions as facilitators of the transcription factor target search

Transcription factors (TFs) contribute to organismal development and function by regulating gene expression. Despite decades of research, the factors determining the specificity and speed at which eukaryotic TFs detect their target binding sites remain poorly understood. Recent studies have pointed to intrinsically disordered regions (IDRs) within TFs as key regulators of the process by which TFs find their target sites on DNA (the TF target search). However, IDRs are challenging to study because they can confer specificity despite low sequence complexity and can be functionally conserved despite rapid sequence divergence. Nevertheless, emerging computational and experimental approaches are beginning to elucidate the sequence-function relationship within the IDRs of TFs. Additional insights are informing potential mechanisms underlying the IDR-directed search for the DNA targets of TFs, including incorporation into biomolecular condensates, facilitating TF co-localization, and the hypothesis that IDRs recognize and directly interact with specific genomic regions.

Regulation of RNA polymerase II transcription through re-initiation and bursting

The regulation of RNA polymerase II (RNAPII) activity requires orchestrated responses among genomic regulatory sequences and an expansive set of proteins and protein complexes. Despite intense study over five decades, mechanistic insights continue to emerge. Within the past 10 years, live-cell imaging and single-cell transcriptomics experiments have yielded new information about enhancer-promoter communication, transcription factor dynamics, and the kinetics of RNAPII transcription activation. These insights have established RNAPII re-initiation and bursting as a common regulatory phenomenon with widespread implications for gene regulation in health and disease. Here, we summarize regulatory strategies that help control RNAPII bursting in eukaryotic cells, which is defined as short periods of active transcription followed by longer periods of inactivity. We focus on RNAPII re-initiation (i.e., a "burst" of two or more polymerases that initiate from the same promoter), with an emphasis on molecular mechanisms, open questions, and controversies surrounding this distinct regulatory stage.

The human proteome with direct physical access to DNA

In a human cell, DNA is packed with histones, RNA, and chromatin-associated proteins, forming a cohesive gel. At any given moment, only a subset of the proteome has physical access to the DNA and organizes its structure, transcription, replication, repair, and other essential molecular functions. We have developed a "zero-distance" photo-crosslinking approach to quantify proteins in direct contact with DNA in living cells. Collecting DNA interactomes from human breast cancer cells, we present an atlas of over one thousand proteins with physical access to DNA and hundreds of peptide-nucleotide crosslinks pinpointing protein-DNA interfaces with single-amino-acid resolution. Quantitative comparisons of DNA interactomes from differentially treated cells recapitulate the recruitment of key transcription factors as well as DNA repair proteins and uncover fast-acting restrictors of chromatin accessibility on a timescale of minutes. This opens a direct way to explore genomic regulation in a hypothesis-free manner, applicable to many organisms and systems.

GATA3 differentially regulates the transcriptome via zinc finger 2-modulated phase separation

Phase separation (PS) underlies gene control by transcription factors. However, little is known about whether and how DNA-binding domains (DBDs) regulate the PS for transcription factors to differentially regulate the transcriptome. The transcription factor GATA3, a master immune regulator, is frequently mutated in breast cancer. Here, we report that GATA3 undergoes DBD-modulated PS to mediate the formation of chromatin condensates. We show that the DBD regulates the GATA3 PS through its zinc finger 2 (ZnF2) domain, which provides positive charges for multivalent electrostatic interactions mainly via two arginine amino acids, R329 and R330. Compared with breast-cancer-associated GATA3 without ZnF2-defective mutations, breast cancer GATA3 with ZnF2-defective mutations causes aberrant ZnF2-modulated PS and condensate formation to remodel the differentially regulated transcriptome, resulting in a favorable prognosis for patients and reduced tumor growth in mice. Therefore, GATA3 demonstrates a principle of how a transcription factor differentially regulates the transcriptome via DBD-modulated PS.

Exploring the central dogma through the lens of gene expression noise

Over the past two decades, cell-to-cell heterogeneity has garnered increasing attention due to its critical role in both developmental and pathological processes. This growing interest has been driven, in part, by the advancements in live-cell and single-molecule imaging techniques. These techniques have provided mechanistic insights into how processes, transcription in particular, contribute to gene expression noise and, ultimately, cell-to-cell heterogeneity. More recently, however, research has expanded to explore how downstream steps in the central dogma influence gene expression noise. In this review, we mostly examine the impact of transcriptional processes on the generation of gene expression noise but also discuss how post-transcriptional mechanisms modulate noise and its propagation to the protein level. This evaluation emphasizes the need for further investigation into how processes beyond transcription shape gene expression noise, highlighting unanswered questions that remain in the field.

Rethinking transcription factor dynamics and transcription regulation in eukaryotes

Transcription factors (TFs) control gene expression by binding to specific DNA motifs in cis-regulatory elements. Cooperativity has been thought to ensure TF binding specificity. Recent research suggests that, at least in yeast, the role of cooperativity has probably been overemphasized. Consequently, synergy - the collective recruitment of the transcriptional machinery by TFs bound at multiple DNA sites - emerges as a more significant mechanism for achieving the specificity of the transcriptional response. Furthermore, I argue that the concentration of TFs within phase-separated nuclear condensates and their covalent modifications play an underappreciated but crucial role in sharpening transcriptional responses through complementary mechanisms. A model integrating cooperativity, synergy, post-translational modifications, and phase separation provides a comprehensive framework to explain dynamic, context-specific transcriptional responses in eukaryotes.

Mechanisms for DNA Interplay in Eukaryotic Transcription Factors

Like their prokaryotic counterparts, eukaryotic transcription factors must recognize specific DNA sites, search for them efficiently, and bind to them to help recruit or block the transcription machinery. For eukaryotic factors, however, the genetic signals are extremely complex and scattered over vast, multichromosome genomes, while the DNA interplay occurs in a varying landscape defined by chromatin remodeling events and epigenetic modifications. Eukaryotic factors are rich in intrinsically disordered regions and are also distinct in their recognition of short DNA motifs and utilization of open DNA interaction interfaces as ways to gain access to DNA on nucleosomes. Recent findings are revealing the profound, unforeseen implications of such characteristics for the mechanisms of DNA interplay. In this review we discuss these implications and how they are shaping the eukaryotic transcription control paradigm into one of promiscuous signal recognition, highly dynamic interactions, heterogeneous DNA scanning, and multiprong conformational control.

Root stem cell homeostasis in Arabidopsis involves cell-type specific transcription factor complexes

In Arabidopsis thaliana the root stem cell niche (SCN) is maintained by a complex regulatory network crucial for growth and developmental plasticity. However, many aspects of this network, particularly concerning stem cell quiescence and replenishment, remain unclear. Here, we investigate the interactions of key transcription factors (TFs) BRASSINOSTEROID AT VASCULAR AND ORGANIZING CENTRE (BRAVO), PLETHORA 3 (PLT3), and WUSCHEL-RELATED HOMEOBOX 5 (WOX5) in SCN maintenance. Analysis of mutants reveals their combinatorial regulation of cell fates and divisions in the SCN. In addition, studies using Fluorescence Resonance Energy Transfer Fluorescence Lifetime Imaging Microscopy (FRET-FLIM) in combination with novel analysis methods enable us to quantify protein-protein interaction (PPI) affinities and higher-order complex formation among these TFs. Our findings were integrated into a computational model, indicating that cell-type specific protein complex profiles and formations, influenced by prion-like domains in PLT3, play an important role in regulating the SCN. We propose that these unique protein complex signatures may serve as indicators of cell specificity, enriching the regulatory network that governs stem cell maintenance and replenishment in the Arabidopsis root.

Low overlap of transcription factor DNA binding and regulatory targets

DNA sequence-specific transcription factors (TFs) modulate transcription and chromatin architecture, acting from regulatory sites in enhancers and promoters of eukaryotic genes1,2. How multiple TFs cooperate to regulate individual genes is still unclear. In yeast, most TFs are thought to regulate transcription via binding to upstream activating sequences, which are situated within a few hundred base pairs upstream of the regulated gene3. Although this model has been validated for individual TFs and specific genes, it has not been tested in a systematic way. Here we integrated information on the binding and expression targets for the near-complete set of yeast TFs and show that, contrary to expectations, there are few TFs with dedicated activator or repressor roles, and that most TFs have a dual function. Although nearly all protein-coding genes are regulated by one or more TFs, our analysis revealed limited overlap between TF binding and gene regulation. Rapid depletion of many TFs also revealed many regulatory targets that were distant from detectable TF binding sites, suggesting unexpected regulatory mechanisms. Our study provides a comprehensive survey of TF functions and offers insights into interactions between the set of TFs expressed in a single cell type and how they contribute to the complex programme of gene regulation.

Deregulated enhancer-promoter communication in cancer through altered nuclear architecture

Enhancers are critical regulators of gene expression. Structural variations in cancer genomes can lead to enhancer hijacking, where oncogenes are activated by mistargeted enhancer activity. Novel enhancer-promoter interactions may also arise through chromosomal rearrangements that create extrachromosomal DNA elements. Additionally, fusion proteins and other mutation-induced alterations in protein properties can lead to the aberrant assembly of proteins into large complexes on the size scale of 0.1-1 μm termed onco-condensates. Transcription factors and co-activators accumulate with cis-regulatory elements in these structures, driving oncogenic programs. Here, we review current evidence of how altered genome architecture and macromolecular assembly result in deregulated enhancer-promoter communication. We discuss emerging strategies to exploit these mechanisms for clinical applications.

Nucleotide-level characterization and improvement of l-arabinose- and l-rhamnose-inducible systems in E. coli using a high-throughput approach

The commonly used arabinose- and rhamnose-inducible Escherichia coli promoters, PBAD and PRha, exhibit tight regulation through activation via their respective transcription factors, AraC and RhaS, alongside the cyclic AMP receptor protein. The mechanisms of these promoters have been characterized on a parts level, but nucleotide-level analysis has yet to be elucidated. Therefore, we describe here a massively parallel reporter assay that maps regulatory sites at the nucleotide level. The relative importance of nucleotides in each binding site is revealed, including loci not included in previous annotations. For PBAD, we confirm known sites and reveal novel binding sites involved in modulating gene expression. In PRha, we refine the length and sequence specificity of rhaI half-sites, updating previous annotations and providing nucleotide level insights into RhaS-mediated regulation. Mutations that lead to increased promoter strength, wider dynamic range, and altered basal expression are identified for both promoters. Engineered versions of PBAD and PRha promoters based on this data show improvements in dynamic range alongside a seven- and three-fold increase in promoter strength, respectively, with a slight increase in basal expression for the PBAD promoters and no significant increase for PRha. This work expands the genetic parts "toolkit" and increases the understanding of these important commonly used promoters.

A two-step regulatory mechanism dynamically controls histone H3 acetylation by SAGA complex at growth-related promoters

Acetylation of histone H3 at residue K9 (H3K9ac) is a dynamically regulated mark associated with transcriptionally active promoters in eukaryotes. However, our understanding of the relationship between H3K9ac and gene expression remains mostly correlative. In this study, we identify a large suite of growth-related (GR) genes in yeast that undergo a particularly strong down-regulation of both transcription and promoter-associated H3K9ac upon stress, and delineate the roles of transcriptional activators (TAs), repressors, SAGA (Spt-Ada-Gcn5 acetyltransferase) histone acetyltransferase, and RNA-polymerase II in this response. We demonstrate that H3K9 acetylation states are orchestrated by a two-step mechanism driven by the dynamic binding of transcriptional repressors (TRs) and activators, that is independent of transcription. In response to stress, promoter release of TAs at GR genes is a prerequisite for rapid reduction of H3K9ac, whereas binding of TRs is required to establish a hypo-acetylated, strongly repressed state.

Widespread variation in molecular interactions and regulatory properties among transcription factor isoforms

Most human transcription factor (TF) genes encode multiple protein isoforms differing in DNA-binding domains, effector domains, or other protein regions. The global extent to which this results in functional differences between isoforms remains unknown. Here, we systematically compared 693 isoforms of 246 TF genes, assessing DNA binding, protein binding, transcriptional activation, subcellular localization, and condensate formation. Relative to reference isoforms, two-thirds of alternative TF isoforms exhibit differences in one or more molecular activities, which often could not be predicted from sequence. We observed two primary categories of alternative TF isoforms: "rewirers" and "negative regulators," both of which were associated with differentiation and cancer. Our results support a model wherein the relative expression levels of, and interactions involving, TF isoforms add an understudied layer of complexity to gene regulatory networks, demonstrating the importance of isoform-aware characterization of TF functions and providing a rich resource for further studies.

Martini3-IDP: improved Martini 3 force field for disordered proteins

Coarse-grained (CG) molecular dynamics (MD) is widely used for the efficient simulation of intrinsically disordered proteins (IDPs). The Martini model, one of the most popular CG force fields in biomolecular simulation, was reported to yield too compact IDP conformations, limiting its applications. Addressing this, we optimized the bonded parameters based on fitting to reference simulations of a diverse set of IDPs at atomistic resolution, resulting in a Martini3-based disordered protein model coined Martini3-IDP. This model leads to expanded IDP conformations, greatly improving the reproduction of the experimentally measured radii of gyration. Moreover, contrary to ad-hoc fixes based on scaling of protein-protein or protein-water interactions, Martini3-IDP keeps the overall interaction balance underlying Martini 3. To validate that, we perform a comprehensive testing including full-length multidomain proteins, IDP-lipid membrane binding and IDP-small molecule binding, confirming its ability to successfully capture the complex interplay between disordered proteins and diverse biomolecular components. Finally, the recently emerging concept of biomolecular condensate, through liquid-liquid phase separation, was also reproduced by Martini3-IDP for a number of both homotypic and heterotypic systems. With the improved Martini3-IDP model, we expand the ability to simulate processes involving IDPs in complex environments, at spatio-temporal scales inaccessible with all-atom models.

Cooperation of a polymerizing SAM domain and an intrinsically disordered region enables full SAMD1 function on chromatin

Transcription factors orchestrate gene expression through a myriad of complex mechanisms, encompassing collaborations with other transcription factors and the formation of multimeric complexes. The chromatin-binding protein SAMD1 [sterile alpha motif (SAM) domain-containing protein 1] binds to unmethylated CpG-rich DNA utilizing its N-terminal winged-helix (WH) domain. Additionally, its C-terminal SAM domain, which mediates interactions with itself and with L3MBTL3, is crucial for chromatin binding. The precise role of the SAM domain in this process remains unclear. Using structural analyses, we elucidated the distinct homopolymerization modes within the SAM domains of L3MBTL3 and SAMD1, alongside their heterodimerization architecture. Interestingly, SAMD1 necessitates not only the WH and SAM domain but also a proline/alanine-rich intrinsically disordered region (IDR) for efficient chromatin binding. The IDR is essential for the ability of SAMD1 to form large polymers, with its functionality determined by integrity rather than the specific sequence. Mutagenesis studies underscore the critical role of arginines within the IDR for polymerization, chromatin binding, and the biological function of SAMD1. These findings propose a model in which structured and unstructured regions of SAMD1 cooperate in a coordinated fashion to facilitate chromatin binding. This work provides new insights into the diverse mechanisms transcription factors employ to interact with chromatin and regulate gene expression.

Both the transcriptional activator, Bcd, and repressor, Cic, form small mobile oligomeric clusters

Transcription factors play an essential role in pattern formation during early embryo development, generating a strikingly fast and precise transcriptional response that results in sharp gene expression boundaries. To characterize the steps leading up to transcription, we performed a side-by-side comparison of the nuclear dynamics of two morphogens, a transcriptional activator, Bicoid (Bcd), and a transcriptional repressor, Capicua (Cic), both involved in body patterning along the anterior-posterior axis of the early Drosophila embryo. We used a combination of fluorescence recovery after photobleaching, fluorescence correlation spectroscopy, and single-particle tracking to access a wide range of dynamical timescales. Despite their opposite effects on gene transcription, we find that Bcd and Cic have very similar nuclear dynamics, characterized by the coexistence of a freely diffusing monomer population with a number of oligomeric clusters, which range from low stoichiometry and high mobility clusters to larger, DNA-bound hubs. Our observations are consistent with the inclusion of both Bcd and Cic into transcriptional hubs or condensates, while putting constraints on the mechanism by which these form. These results fit in with the recent proposal that many transcription factors might share a common search strategy for target gene regulatory regions that makes use of their large unstructured regions, and may eventually help explain how the transcriptional response they elicit can be at the same time so fast and so precise.

Transcription regulation by biomolecular condensates

Biomolecular condensates regulate transcription by dynamically compartmentalizing the transcription machinery. Classic models of transcription regulation focus on the recruitment and regulation of RNA polymerase II by the formation of complexes at the 1-10 nm length scale, which are driven by structured and stoichiometric interactions. These complexes are further organized into condensates at the 100-1,000 nm length scale, which are driven by dynamic multivalent interactions often involving domain-ligand pairs or intrinsically disordered regions. Regulation through condensate-mediated organization does not supersede the processes occurring at the 1-10 nm scale, but it provides regulatory mechanisms for promoting or preventing these processes in the crowded nuclear environment. Regulation of transcription by transcriptional condensates is involved in cell state transitions during animal and plant development, cell signalling and cellular responses to the environment. These condensate-mediated processes are dysregulated in developmental disorders, cancer and neurodegeneration. In this Review, we discuss the principles underlying the regulation of transcriptional condensates, their roles in physiology and their dysregulation in human diseases.

The nuclear pore complex connects energy sensing to transcriptional plasticity in longevity

As the only gateway governing nucleocytoplasmic transport, the nuclear pore complex (NPC) maintains fundamental cellular processes and deteriorates with age. However, the study of age-related roles of single NPC components remains challenging owing to the complexity of NPC composition. Here we demonstrate that the master energy sensor, AMPK, post-translationally regulates the abundance of the nucleoporin NPP-16/NUP50 in response to nutrient availability and energetic stress. In turn, NPP-16/NUP50 promotes transcriptomic activation of lipid catabolism to extend the lifespan of Caenorhabditis elegans independently of its role in nuclear transport. Rather, the intrinsically disordered region (IDR) of NPP-16/NUP50, through direct interaction with the transcriptional machinery, transactivates the promoters of catabolic genes. Remarkably, elevated NPP-16/NUP50 levels are sufficient to promote longevity and metabolic stress defenses. AMPK-NUP50 signaling is conserved to human, indicating that bridging energy sensing to metabolic adaptation is an ancient role of this signaling axis.

Dynamic properties of transcriptional condensates modulate CRISPRa-mediated gene activation

CRISPR activation (CRISPRa) is a powerful tool for endogenous gene activation, yet the mechanisms underlying its optimal transcriptional activation remain unclear. By monitoring real-time transcriptional bursts, we find that CRISPRa modulates both burst duration and amplitude. Our quantitative imaging reveals that CRISPR-SunTag activators, with three tandem VP64-p65-Rta (VPR), form liquid-like transcriptional condensates and exhibit high activation potency. Although visible CRISPRa condensates are associated with some RNA bursts, the overall levels of phase separation do not correlate with transcriptional bursting or activation strength in individual cells. When the number of SunTag scaffolds is increased to 10 or more, solid-like condensates form, sequestering co-activators such as p300 and MED1. These condensates display low dynamicity and liquidity, resulting in ineffective gene activation. Overall, our studies characterize various phase-separated CRISPRa systems for gene activation, highlighting the foundational principles for engineering CRISPR-based programmable synthetic condensates with appropriate properties to effectively modulate gene expression.

Modeling and designing enhancers by introducing and harnessing transcription factor binding units

Enhancers serve as pivotal regulators of gene expression throughout various biological processes by interacting with transcription factors (TFs). While transcription factor binding sites (TFBSs) are widely acknowledged as key determinants of TF binding and enhancer activity, the significant role of their surrounding context sequences remains to be quantitatively characterized. Here we propose the concept of transcription factor binding unit (TFBU) to modularly model enhancers by quantifying the impact of context sequences surrounding TFBSs using deep learning models. Based on this concept, we develop DeepTFBU, a comprehensive toolkit for enhancer design. We demonstrate that designing TFBS context sequences can significantly modulate enhancer activities and produce cell type-specific responses. DeepTFBU is also highly efficient in the de novo design of enhancers containing multiple TFBSs. Furthermore, DeepTFBU enables flexible decoupling and optimization of generalized enhancers. We prove that TFBU is a crucial concept, and DeepTFBU is highly effective for rational enhancer design.

The role of transcription bodies in gene expression: what embryos teach us

Transcription does not occur diffusely throughout the nucleus but is concentrated in specific areas. Areas of accumulated transcriptional machinery have been called clusters, hubs, or condensates, while transcriptionally active areas have been referred to as transcription factories or transcription bodies. Despite the widespread occurrence of transcription bodies, it has been difficult to study their assembly, function, and effect on gene expression. This review highlights the advantages of developmental model systems such as zebrafish and fruit fly embryos, in addressing these questions. We focus on three important discoveries that were made in embryos. (i) It had previously been suggested that, in transcription bodies, the different steps of the transcription process are organized in space. We explore how work in embryos has revealed that they can also be organized in time. In this case, transcription bodies mature from transcription factor clusters to elongating transcription bodies. This type of organization has important implications for transcription body function. (ii) The relevance of clustering for in vivo gene regulation has benefited greatly from studies in embryos. We discuss examples in which transcription bodies regulate developmental gene expression by compensating for low transcription factor concentrations and low-affinity enhancers. Finally, (iii) while accumulations of transcriptional machinery can facilitate transcription locally, work in embryos showed that transcription bodies can also sequester the transcriptional machinery, modulating the availability for activity at other sites. In brief, the reviewed literature highlights the properties of developmental model organisms that make them powerful systems for uncovering the form and function of transcription bodies.

Effective in vivo binding energy landscape illustrates kinetic stability of RBPJ-DNA binding

Transcription factors (TFs) such as RBPJ in Notch signaling bind to specific DNA sequences to regulate transcription. How TF-DNA binding kinetics and cofactor interactions modulate gene regulation is mostly unknown. We determine the binding kinetics, transcriptional activity, and genome-wide chromatin occupation of RBPJ and mutant variants by live-cell single-molecule tracking, reporter assays, and ChIP-Seq. Importantly, the search time of RBPJ exceeds its residence time, indicating kinetic rather than thermodynamic binding stability. Impaired RBPJ-DNA binding as in Adams-Oliver-Syndrome affect both target site association and dissociation, while impaired cofactor binding mainly alters association and unspecific binding. Moreover, our data point to the possibility that cofactor binding contributes to target site specificity. Findings for other TFs comparable to RBPJ indicate that kinetic rather than thermodynamic DNA binding stability might prevail in vivo. We propose an effective in vivo binding energy landscape of TF-DNA interactions as instructive visualization of binding kinetics and mutation-induced changes.

PROTACs coupled with oligonucleotides to tackle the undruggable

Undruggable targets account for roughly 85% of human disease-related targets and represent a category of therapeutic targets that are difficult to tackle with traditional methods, but their considerable clinical importance. These targets are generally defined by planar functional interfaces and the absence of efficient ligand-binding pockets, making them unattainable for conventional pharmaceutical strategies. The advent of oligonucleotide-based proteolysis-targeting chimeras (PROTACs) has instilled renewed optimism in addressing these challenges. These PROTACs facilitate the targeted degradation of undruggable entities, including transcription factors (TFs) and RNA-binding proteins (RBPs), via proteasome-dependent mechanisms, thereby presenting novel therapeutic approaches for diseases linked to these targets. This review offers an in-depth examination of recent progress in the integration of PROTAC technology with oligonucleotides to target traditionally undruggable proteins, emphasizing the design principles and mechanisms of action of these innovative PROTACs.

Roles of intrinsically disordered protein regions in transcriptional regulation and genome organization

Eukaryotic transcription is a complex process regulated by transcription factors (TFs), coactivators, and RNA polymerase machineries, many of which contain sizable intrinsically disordered regions (IDRs). Many TFs activate transcription through multivalent IDR-IDR interactions. Optimal levels of such multivalent interactions associated with appropriate IDR concentrations, interaction strengths, or interaction valencies are required for effective transcriptional activation. The interaction selectivity of IDRs is crucial for the precise regulation of transcription, and this selectivity is dependent on the IDR sequences. Furthermore, IDRs modulate gene expression by bringing chromatin sites together to form transcriptionally active chromatin hubs. Mutations in IDRs may cause dysregulation of their multivalent interactions, contributing to diseases, including cancers and neurodegenerative disorders. Understanding the effects of IDR-related mutations on transcription control and genome organization opens new opportunities for developing targeted therapeutic strategies. In this review, we discuss recent reports documenting important functions of IDRs in transcriptional regulation and their implications for human health and disease.

Versatile roles of disordered transcription factor effector domains in transcriptional regulation

Transcription, a crucial step in the regulation of gene expression, is tightly controlled and involves several essential processes, such as chromatin organization, recognition of the specific genomic sequences, DNA binding, and ultimately recruiting the transcriptional machinery to facilitate transcript synthesis. At the center of this regulation are transcription factors (TFs), which comprise at least one DNA-binding domain (DBD) and an effector domain (ED). Although the structure and function of DBDs have been well studied, our knowledge of the structure and function of effector domains is limited. EDs are of particular importance in generating distinct transcriptional responses between protein members of the same TF family that have similar DBDs and specificities. The study of transcriptional activity conferred by effector domains has traditionally been conducted through examining protein-protein interactions. However, recent research has uncovered alternative mechanisms by which EDs regulate gene expression, such as the formation of condensates that increase the local concentration of transcription factors, cofactors, and coregulated genes, as well as DNA binding. Here, we provide a comprehensive overview of the known roles of transcription factor EDs, with a specific focus on disordered regions. Additionally, we emphasize the significance of intrinsically disordered regions (IDRs) during transcriptional regulation. We examine the mechanisms underlying the establishment and maintenance of transcriptional specificity through the structural properties of predominantly disordered EDs. We then provide a comprehensive overview of the current understanding of these domains, including their physical and chemical characteristics, as well as their functional roles.

Context-Dependent Heterotypic Assemblies of Intrinsically Disordered Peptides

Despite their critical role in context-dependent interactions for protein functions, intrinsically disordered regions (IDRs) are often overlooked for designing peptide assemblies. Here, we exploit IDRs to enable context-dependent heterotypic assemblies of intrinsically disordered peptides, where "context-dependent" refers to assembly behavior driven by interactions with other molecules. By attaching an aromatic segment to oppositely charged intrinsically disordered peptides, we achieve a nanofiber formation. Although the same-charged peptides cannot self-assemble, oppositely charged peptides form heterotypic nanofibers. Cryo-EM analysis reveals a β-sheet arrangement within the ordered core of these nanofibers, conformational heterogeneity, and a disorder-to-order continuum and shows a high number of hydrogen bonds between tyrosine and lysine ε-amine. Additionally, this work demonstrates a post-assembly morphological change resulting from local conformational flexibility. While equal molar mixtures of the charged intrinsically disordered peptides yield nanofibers, doubling the positively charged peptides after assembly produces bundles of nanofibers. Furthermore, reducing the number of aromatic amino acid residues reduces bundle formation. Demonstrating context-dependent self-assembly of intrinsically disordered peptides and revealing atomistic insights into heterotypic assemblies of intrinsically disordered peptides for the first time, this work illustrates a straightforward approach to enable heterotypic intrinsically disordered peptides to self-assemble for the design of adaptive, multifunctional peptide nanomaterials.

Biomolecular condensates in immune cell fate

Fate decisions during immune cell development require temporally precise changes in gene expression. Evidence suggests that the dynamic modulation of these changes is associated with the formation of diverse, membrane-less nucleoprotein assemblies that are termed biomolecular condensates. These condensates are thought to orchestrate fate-determining transcriptional and post-transcriptional processes by locally and transiently concentrating DNA or RNA molecules alongside their regulatory proteins. Findings have established a link between condensate formation and the gene regulatory networks that ensure the proper development of immune cells. Conversely, condensate dysregulation has been linked to impaired immune cell fates, including ageing and malignant transformation. This Review explores the putative mechanistic links between condensate assembly and the gene regulatory frameworks that govern normal and pathological development in the immune system.

Transcription dynamics and genome organization in the mammalian nucleus: Recent advances

Single-molecule tracking (SMT) has emerged as the dominant technology to investigate the dynamics of chromatin-transcription factor (TF) interactions. How long a TF needs to bind to a regulatory site to elicit a transcriptional response is a fundamentally important question. However, highly divergent estimates of TF binding have been presented in the literature, stemming from differences in photobleaching correction and data analysis. TF movement is often interpreted as specific or non-specific association with chromatin, yet the dynamic nature of the chromatin polymer is often overlooked. In this perspective, we highlight how recent SMT studies have reshaped our understanding of TF dynamics, chromatin mobility, and genome organization in the mammalian nucleus, focusing on the technical details and biological implications of these approaches. In a remarkable convergence of fixed and live-cell imaging, we show how super-resolution and SMT studies of chromatin have dovetailed to provide a convincing nanoscale view of genome organization.

Transcriptional activation and coactivator binding by yeast Ino2 and human proto-oncoprotein c-Myc

Basic helix-loop-helix domains in yeast regulatory proteins Ino2 and Ino4 mediate formation of a heterodimer which binds to and activates expression of phospholipid biosynthetic genes. The human proto-oncoprotein c-Myc (Myc) and its binding partner Max activate genes important for cellular proliferation and contain functional domains structure and position of which strongly resembles Ino2 and Ino4. Since Ino2-Myc and Ino4-Max may be considered as orthologs we performed functional comparisons in yeast. We demonstrate that Myc and Max could be stably synthesized in S. cerevisiae and together significantly activated a target gene of Ino2/Ino4 but nevertheless were unable to functionally complement an ino2 ino4 double mutant. We also map two efficient transcriptional activation domains in the N-terminus of Myc (TAD1: aa 1-41 and TAD2: aa 91-140), corresponding to TAD positions in Ino2. We finally show that coactivators such as TFIID subunits Taf1, Taf4, Taf6, Taf10 and Taf12 as well as ATPase subunits of chromatin remodelling complexes Swi2, Sth1 and Ino80 previously shown to interact with TADs of Ino2 were also able to bind TADs of Myc, supporting the view that heterodimers Ino2/Ino4 and Myc/Max are evolutionary related but have undergone transcriptional rewiring of target genes.

Mutations to transcription factor MAX allosterically increase DNA selectivity by altering folding and binding pathways

Understanding how proteins discriminate between preferred and non-preferred ligands ('selectivity') is essential for predicting biological function and a central goal of protein engineering efforts, yet the biophysical mechanisms underpinning selectivity remain poorly understood. Towards this end, we study how variants of the promiscuous transcription factor (TF) MAX (H. sapiens) alter DNA specificity and selectivity, yielding >1700 Kds and >500 rate constants in complex with multiple DNA sequences. Twenty-two of the 240 assayed MAX point mutations enhance selectivity, yet none of these mutations occur at residues that contact nucleotides in published structures. By applying thermodynamic and kinetic models to these results and previous observations for the highly similar yet far more selective TF Pho4 (S. cerevisiae), we find that these mutations enhance selectivity by altering partitioning between or affinity within conformations with different intrinsic selectivity, providing a mechanistic basis for allosteric modulation of ligand selectivity. These results highlight the importance of conformational heterogeneity in determining sequence selectivity and can guide future efforts to engineer selective proteins.

Divergence in a Eukaryotic Transcription Factor's co-TF Dependence Involves Multiple Intrinsically Disordered Regions Affecting Activation and Autoinhibition

Combinatorial control by multiple transcription factors (TFs) is a hallmark of eukaryotic gene regulation. Despite its prevalence and crucial roles in enhancing specificity and integrating information, the mechanisms behind why eukaryotic TFs depend on one another, and whether such interdependence evolves, are not well understood. We exploit natural variation in co-TF dependence in the yeast phosphate starvation (PHO) response to address this question. In the model yeast Saccharomyces cerevisiae, the main TF, Pho4, relies on the co-TF Pho2 to regulate ~28 genes. In a related yeast pathogen, Candida glabrata, its Pho4 exhibits significantly reduced Pho2 dependence and has an expanded target set of ~70 genes. Biochemical analyses showed C. glabrata Pho4 (CgPho4) binds to the same consensus motif with 3-4-fold higher affinity than ScPho4 does. A machine-learning-based prediction and yeast one-hybrid assay identified two Intrinsically Disordered Regions (IDRs) in CgPho4 that boost the activity of the main activation domain but showed little to no activity on their own. We also found evidence for autoinhibition behind the co-TF dependence in ScPho4. An IDR in ScPho4 next to its DNA binding domain was found to act as a double-edged sword: it both allows for enhanced activity with Pho2, and inhibits Pho4's activity without Pho2. This study provides a detailed molecular picture of how co-TF dependence is mediated and how its evolution, mainly driven by IDR divergence, can lead to significant rewiring of the regulatory network.

Novel insights into RNA polymerase II transcription regulation: transcription factors, phase separation, and their roles in cardiovascular diseases

Transcription factors (TFs) are specialized proteins that bind DNA in a sequence-specific manner and modulate RNA polymerase II (Pol II) in multiple steps of the transcription process. Phase separation is a spontaneous or driven process that can form membrane-less organelles called condensates. By creating different liquid phases at active transcription sites, the formation of transcription condensates can reduce the water content of the condensate and lower the dielectric constant in biological systems, which in turn alters the structure and function of proteins and nucleic acids in the condensate. In RNA Pol II transcription, phase separation formation shortens the time at which TFs bind to target DNA sites and promotes transcriptional bursting. RNA Pol II transcription is engaged in developing several diseases, such as cardiovascular disease, by regulating different TFs and mediating the occurrence of phase separation. This review aims to summarize the advances in the molecular mechanisms of RNA Pol II transcriptional regulation, in particular the effect of TFs and phase separation. The role of RNA Pol II transcriptional regulation in cardiovascular disease will be elucidated, providing potential therapeutic targets for the management and treatment of cardiovascular disease.

The structural and functional analysis of mycobacteria cysteine desulfurase-loaded encapsulin

Encapsulin nanocompartments loaded with dedicated cargo proteins via unique targeting peptides, play a key role in stress resistance, iron storage and natural product biosynthesis. Mmp1 and cysteine desulfurase (Enc-CD) have been identified as the most abundant representatives of family 2 encapsulin systems. However, the molecular assembly, catalytic mechanism, and physiological functions of the Mmp1 encapsulin system have not been studied in detail. Here we isolate and characterize an Enc-CD-loaded Mmp1 encapsulin system from Mycobacterium smegmatis mc2155. The cryo-EM structure of the Mmp1 encapsulin and the crystal structure of the naked cargo Enc-CD have been determined. The structure shows that the Mmp1 protomer assembles two conformation models, the icosahedron (T = 1) and homodecamer, with the resolution of 2.60 Å and 2.69 Å. The Enc-CD at 2.10 Å resolution is dimeric and loaded into the Mmp1 (T = 1) encapsulin through the N-terminal long disordered region. Mmp1 encapsulin protects Enc-CD against oxidation as well as to maintain structural stability. These studies provide new insights into the mechanism by which Enc-CD-loaded encapsulin stores sulfur and provides a framework for discovery of new anti-mycobacterial therapeutics.

Regulated resource reallocation is transcriptionally hard wired into the yeast stress response

Many organisms maintain generalized stress responses activated by adverse conditions. Although details vary, a common theme is the redirection of transcriptional and translational capacity away from growth-promoting genes and toward defense genes. Yet the precise roles of these coupled programs are difficult to dissect. Here we investigated Saccharomyces cerevisiae responding to salt as a model stressor. We used molecular, genomic, and single-cell microfluidic methods to examine the interplay between transcription factors Msn2 and Msn4 that induce stress-defense genes and Dot6 and Tod6 that transiently repress growth-promoting genes during stress. Surprisingly, loss of Dot6/Tod6 led to slower acclimation to salt, whereas loss of Msn2/4 produced faster growth during stress. This supports a model where transient repression of growth-promoting genes accelerates the Msn2/4 response, which is essential for acquisition of subsequent peroxide tolerance. Remarkably, we find that Msn2/4 regulate DOT6 mRNA production, influence Dot6 activation dynamics, and are required for full repression of growth-promoting genes. Thus, Msn2/4 directly regulate resource reallocation needed to mount their own response. We discuss broader implications for common stress responses across organisms.

Hormone response elements for the thyroid receptor-α include specific distal 5'-flanking DNA

Optimal gene transcription is achieved through precise interactions between transcription factors and their DNA binding sites. We provide evidence that conserved distally located 5'-flanking sequences interact directly with the intrinsically disordered amino-terminal region of the thyroid receptor-α (TRα) to control transcriptional activity. Simulated modeling and dynamics with multiple ChIP-seq-derived sequences consistently reveal specific lysine/arginine-DNA minor groove interactions. The impact of these interactions is to distort DNA structural conformations, and these are also revealed with atomic force microscopy. The importance of the 5'-flanking DNA is further emphasized with reporter gene assays and comparisons with canonical response elements. Overall, the study reveals the inadequacy of current definitions of the DNA hormone response element (HRE) and suggests that future descriptions of the HRE include the conserved distal DNA sequences. The broad impact of this study is further underscored by the common occurrence of Lys/Arg-rich motifs within the intrinsically disordered regions of nuclear receptors.

Beyond RNA-binding domains: determinants of protein-RNA binding

RNA-binding proteins (RBPs) are composed of RNA-binding domains (RBDs) often linked via intrinsically disordered regions (IDRs). Structural and biochemical analyses have shown that disordered linkers contribute to RNA binding by orienting the adjacent RBDs and also characterized certain disordered repeats that directly contact the RNA. However, the relative contribution of IDRs and predicted RBDs to the in vivo binding pattern is poorly explored. Here, we upscaled the RNA-tagging method to map the transcriptome-wide binding of 16 RBPs in budding yeast. We then performed extensive sequence mutations to distinguish binding determinants within predicted RBDs and the surrounding IDRs in eight of these. The majority of the predicted RBDs tested were not individually essential for mRNA binding. However, multiple IDRs that lacked predicted RNA-binding potential appeared essential for binding affinity or specificity. Our results provide new insights into the function of poorly studied RBPs and emphasize the complex and distributed encoding of RBP-RNA interaction in vivo.

START domains generate paralog-specific regulons from a single network architecture

Functional divergence of transcription factors (TFs) has driven cellular and organismal complexity throughout evolution, but its mechanistic drivers remain poorly understood. Here we test for new mechanisms using CORONA (CNA) and PHABULOSA (PHB), two functionally diverged paralogs in the CLASS III HOMEODOMAIN LEUCINE ZIPPER (HD-ZIPIII) family of TFs. We show that virtually all genes bound by PHB ( ~ 99%) are also bound by CNA, ruling out occupation of distinct sets of genes as a mechanism of functional divergence. Further, genes bound and regulated by both paralogs are almost always regulated in the same direction, ruling out opposite regulation of shared targets as a mechanistic driver. Functional divergence of CNA and PHB instead results from differential usage of shared binding sites, with hundreds of uniquely regulated genes emerging from a commonly bound genetic network. Regulation of a given gene by CNA or PHB is thus a function of whether a bound site is considered 'responsive' versus 'non-responsive' by each paralog. Discrimination between responsive and non-responsive sites is controlled, at least in part, by their lipid binding START domain. This suggests a model in which HD-ZIPIII TFs use information integrated by their START domain to generate paralog-specific transcriptional outcomes from a shared network architecture. Taken together, our study identifies a mechanism of HD-ZIPIII TF paralog divergence and proposes the ubiquitously distributed START evolutionary module as a driver of functional divergence.

Massively parallel binding assay (MPBA) reveals limited transcription factor binding cooperativity, challenging models of specificity

DNA-binding domains (DBDs) within transcription factors (TFs) recognize short sequence motifs that are highly abundant in genomes. In vivo, TFs bind only a small subset of motif occurrences, which is often attributed to the cooperative binding of interacting TFs at proximal motifs. However, large-scale testing of this model is still lacking. Here, we describe a novel method allowing parallel measurement of TF binding to thousands of designed sequences within yeast cells and apply it to quantify the binding of dozens of TFs to libraries of regulatory regions containing clusters of binding motifs, systematically mutating all motif combinations. With few exceptions, TF occupancies were well explained by independent binding to individual motifs, with motif cooperation being of only limited effects. Our results challenge the general role of motif combinatorics in directing TF genomic binding and open new avenues for exploring the basis of protein-DNA interactions within cells.

Revisiting the model for coactivator recruitment: Med15 can select its target sites independent of promoter-bound transcription factors

Activation domains (ADs) within transcription factors (TFs) induce gene expression by recruiting coactivators such as the Mediator complex. Coactivators lack DNA binding domains (DBDs) and are assumed to passively follow their recruiting TFs. This is supported by direct AD-coactivator interactions seen in vitro but has not yet been tested in living cells. To examine that, we targeted two Med15-recruiting ADs to a range of budding yeast promoters through fusion with different DBDs. The DBD-AD fusions localized to hundreds of genomic sites but recruited Med15 and induced transcription in only a subset of bound promoters, characterized by a fuzzy-nucleosome architecture. Direct DBD-Med15 fusions shifted DBD localization towards fuzzy-nucleosome promoters, including promoters devoid of the endogenous Mediator. We propose that Med15, and perhaps other coactivators, possess inherent promoter preference and thus actively contribute to the selection of TF-induced genes.

Comprehensive analysis of computational approaches in plant transcription factors binding regions discovery

Transcription factors (TFs) are regulatory proteins which bind to a specific DNA region known as the transcription factor binding regions (TFBRs) to regulate the rate of transcription process. The identification of TFBRs has been made possible by a number of experimental and computational techniques established during the past few years. The process of TFBR identification involves peak identification in the binding data, followed by the identification of motif characteristics. Using the same binding data attempts have been made to raise computational models to identify such binding regions which could save time and resources spent for binding experiments. These computational approaches depend a lot on what way they learn and how. These existing computational approaches are skewed heavily around human TFBRs discovery, while plants have drastically different genomic setup for regulation which these approaches have grossly ignored. Here, we provide a comprehensive study of the current state of the matters in plant specific TF discovery algorithms. While doing so, we encountered several software tools' issues rendering the tools not useable to researches. We fixed them and have also provided the corrected scripts for such tools. We expect this study to serve as a guide for better understanding of software tools' approaches for plant specific TFBRs discovery and the care to be taken while applying them, especially during cross-species applications. The corrected scripts of these software tools are made available at https://github.com/SCBB-LAB/Comparative-analysis-of-plant-TFBS-software.

Nuclear and cytosolic fractions of SOX2 synergize as transcriptional and translational co-regulators of cell fate

Stemness and pluripotency are mediated by transcriptional master regulators that promote self-renewal and repress cell differentiation, among which is the high-mobility group (HMG) box transcription factor SOX2. Dysregulated SOX2 expression, by contrast, leads to transcriptional aberrations relevant to oncogenic transformation, cancer progression, metastasis, therapy resistance, and relapse. Here, we report a post-transcriptional mechanism by which the cytosolic pool of SOX2 contributes to these events in an unsuspected manner. Specifically, a low-complexity region within SOX2's C-terminal segment connects to the ribosome to modulate the expression of cognate downstream factors. Independent of nuclear structures or DNA, this C-terminal functionality alone changes metabolic properties and induces non-adhesive growth when expressed in the cytosol of SOX2 knockout cells. We thus propose a revised model of SOX2 action where nuclear and cytosolic fractions cooperate to impose cell fate decisions via both transcriptional and translational mechanisms.

A fine kinetic balance of interactions directs transcription factor hubs to genes

Eukaryotic gene regulation relies on the binding of sequence-specific transcription factors (TFs). TFs bind chromatin transiently yet occupy their target sites by forming high-local concentration microenvironments (hubs and condensates) that increase the frequency of binding. Despite their ubiquity, such microenvironments are difficult to study in endogenous contexts due to technical limitations. Here, we use live embryo light-sheet imaging, single-molecule tracking, and genomics to overcome these limitations and investigate how hubs are localized to target genes to drive TF occupancy and transcription. By examining mutants of a hub-forming TF, Zelda, in Drosophila embryos, we find that hub formation propensity, spatial distributions, and temporal stabilities are differentially regulated by DNA binding and disordered protein domains. We show that hub localization to genomic targets is driven by a finely-tuned kinetic balance of interactions between proteins and chromatin, and hubs can be redirected to new genomic sites when this balance is perturbed.

Heat Shock Factor 1 forms nuclear condensates and restructures the yeast genome before activating target genes

In insects and mammals, 3D genome topology has been linked to transcriptional states yet whether this link holds for other eukaryotes is unclear. Using both ligation proximity and fluorescence microscopy assays, we show that in Saccharomyces cerevisiae, Heat Shock Response (HSR) genes dispersed across multiple chromosomes and under the control of Heat Shock Factor (Hsf1) rapidly reposition in cells exposed to acute ethanol stress and engage in concerted, Hsf1-dependent intergenic interactions. Accompanying 3D genome reconfiguration is equally rapid formation of Hsf1-containing condensates. However, in contrast to the transience of Hsf1-driven intergenic interactions that peak within 10-20 min and dissipate within 1 hr in the presence of 8.5% (v/v) ethanol, transcriptional condensates are stably maintained for hours. Moreover, under the same conditions, Pol II occupancy of HSR genes, chromatin remodeling, and RNA expression are detectable only later in the response and peak much later (>1 hr). This contrasts with the coordinate response of HSR genes to thermal stress (39°C) where Pol II occupancy, transcription, histone eviction, intergenic interactions, and formation of Hsf1 condensates are all rapid yet transient (peak within 2.5-10 min and dissipate within 1 hr). Therefore, Hsf1 forms condensates, restructures the genome and transcriptionally activates HSR genes in response to both forms of proteotoxic stress but does so with strikingly different kinetics. In cells subjected to ethanol stress, Hsf1 forms condensates and repositions target genes before transcriptionally activating them.

DFF-ChIP: a method to detect and quantify complex interactions between RNA polymerase II, transcription factors, and chromatin

Recently, we introduced a chromatin immunoprecipitation (ChIP) technique utilizing the human DNA Fragmentation Factor (DFF) to digest the DNA prior to immunoprecipitation (DFF-ChIP) that provides the precise location of transcription complexes and their interactions with neighboring nucleosomes. Here we expand the technique to new targets and provide useful information concerning purification of DFF, digestion conditions, and the impact of crosslinking. DFF-ChIP analysis was performed individually for subunits of Mediator, DSIF, and NELF that that do not interact with DNA directly, but rather interact with RNA polymerase II (Pol II). We found that Mediator was associated almost exclusively with preinitiation complexes (PICs). DSIF and NELF were associated with engaged Pol II and, in addition, potential intermediates between PICs and early initiation complexes. DFF-ChIP was then used to analyze the occupancy of a tight binding transcription factor, CTCF, and a much weaker binding factor, glucocorticoid receptor (GR), with and without crosslinking. These results were compared to those from standard ChIP-Seq that employs sonication and to CUT&RUN which utilizes MNase to fragment the genomic DNA. Our findings indicate that DFF-ChIP reveals details of occupancy that are not available using other methods including information revealing pertinent protein:protein interactions.

An RNA-centric view of transcription and genome organization

Foundational models of transcriptional regulation involve the assembly of protein complexes at DNA elements associated with specific genes. These assemblies, which can include transcription factors, cofactors, RNA polymerase, and various chromatin regulators, form dynamic spatial compartments that contribute to both gene regulation and local genome architecture. This DNA-protein-centric view has been modified with recent evidence that RNA molecules have important roles to play in gene regulation and genome structure. Here, we discuss evidence that gene regulation by RNA occurs at multiple levels that include assembly of transcriptional complexes and genome compartments, feedback regulation of active genes, silencing of genes, and control of protein kinases. We thus provide an RNA-centric view of transcriptional regulation that must reside alongside the more traditional DNA-protein-centric perspectives on gene regulation and genome architecture.

A nature-inspired HIF stabilizer derived from a highland-adaptation insertion of plateau pika Epas1 protein

Hypoxia-inducible factors (HIFs) play pivotal roles in numerous diseases and high-altitude adaptation, and HIF stabilizers have emerged as valuable therapeutic tools. In our prior investigation, we identified a highland-adaptation 24-amino-acid insertion within the Epas1 protein. This insertion enhances the protein stability of Epas1, and mice engineered with this insertion display enhanced resilience to hypoxic conditions. In the current study, we delved into the biochemical mechanisms underlying the protein-stabilizing effects of this insertion. Our findings unveiled that the last 11 amino acids within this insertion adopt a helical conformation and interact with the α-domain of the von Hippel-Lindau tumor suppressor protein (pVHL), thereby disrupting the Eloc-pVHL interaction and impeding the ubiquitination of Epas1. Utilizing a synthesized peptide, E14-24, we demonstrated its favorable membrane permeability and ability to stabilize endogenous HIF-α proteins, inducing the expression of hypoxia-responsive element (HRE) genes. Furthermore, the administration of E14-24 to mice subjected to hypoxic conditions mitigated body weight loss, suggesting its potential to enhance hypoxia adaptation.

Transcription regulation through selective partitioning: Weak interactions with a strong foundation

In this issue of Molecular Cell, De La Cruz, Pradhan, Veettil et al.1 examine how selective partitioning of proteins via low-affinity IDR-dependent interactions may help regulate RNA polymerase II (RNA Pol II) function and identify sequence features that drive partitioning in cells.

Disordered sequences of transcription factors regulate genomic binding by integrating diverse sequence grammars and interaction types

Intrinsically disordered regions (IDRs) guide transcription factors (TFs) to their genomic binding sites, raising the question of how structure-lacking regions encode for complex binding patterns. We investigated this using the TF Gln3, revealing sets of IDR-embedded determinants that direct Gln3 binding to respective groups of functionally related promoters, and enable tuning binding preferences between environmental conditions, phospho-mimicking mutations, and orthologs. Through targeted mutations, we defined the role of short linear motifs (SLiMs) and co-binding TFs (Hap2) in stabilizing Gln3 at respiration-chain promoters, while providing evidence that Gln3 binding at nitrogen-associated promoters is encoded by the IDR amino-acid composition, independent of SLiMs or co-binding TFs. Therefore, despite their apparent simplicity, TF IDRs can direct and regulate complex genomic binding patterns through a combination of SLiM-mediated and composition-encoded interactions.

Streamlining NMR Chemical Shift Predictions for Intrinsically Disordered Proteins: Design of Ensembles with Dimensionality Reduction and Clustering

By merging advanced dimensionality reduction (DR) and clustering algorithm (CA) techniques, our study advances the sampling procedure for predicting NMR chemical shifts (CS) in intrinsically disordered proteins (IDPs), making a significant leap forward in the field of protein analysis/modeling. We enhance NMR CS sampling by generating clustered ensembles that accurately reflect the different properties and phenomena encapsulated by the IDP trajectories. This investigation critically assessed different rapid CS predictors, both neural network (e.g., Sparta+ and ShiftX2) and database-driven (ProCS-15), and highlighted the need for more advanced quantum calculations and the subsequent need for more tractable-sized conformational ensembles. Although neural network CS predictors outperformed ProCS-15 for all atoms, all tools showed poor agreement with HN CSs, and the neural network CS predictors were unable to capture the influence of phosphorylated residues, highly relevant for IDPs. This study also addressed the limitations of using direct clustering with collective variables, such as the widespread implementation of the GROMOS algorithm. Clustered ensembles (CEs) produced by this algorithm showed poor performance with chemical shifts compared to sequential ensembles (SEs) of similar size. Instead, we implement a multiscale DR and CA approach and explore the challenges and limitations of applying these algorithms to obtain more robust and tractable CEs. The novel feature of this investigation is the use of solvent-accessible surface area (SASA) as one of the fingerprints for DR alongside previously investigated α carbon distance/angles or ϕ/ψ dihedral angles. The ensembles produced with SASA tSNE DR produced CEs better aligned with the experimental CS of between 0.17 and 0.36 r2 (0.18-0.26 ppm) depending on the system and replicate. Furthermore, this technique produced CEs with better agreement than traditional SEs in 85.7% of all ensemble sizes. This study investigates the quality of ensembles produced based on different input features, comparing latent spaces produced by linear vs nonlinear DR techniques and a novel integrated silhouette score scanning protocol for tSNE DR.

LAT encodes T cell activation pathway balance

Immune cells transduce environmental stimuli into responses essential for host health via complex signaling cascades. T cells, in particular, leverage their unique T cell receptors (TCRs) to detect specific Human Leukocyte Antigen (HLA)-presented peptides. TCR activation is then relayed via linker for activation of T cells (LAT), a TCR-proximal disordered adapter protein, which organizes protein partners and mediates the propagation of signals down diverse pathways including NFAT and AP-1. Here, we studied how balanced downstream pathway activation is encoded in the amino acid sequence of LAT. To comprehensively profile the sequence-function relationship of LAT, we developed a pooled, single-cell, high-content screening approach in which a large series of mutants in the LAT protein were analyzed to characterize their effects on T cell activation. Measuring epigenetic, transcriptomic, and cell surface protein dynamics of single cells harboring distinct LAT mutants, we found functional regions spanning over 40% of the LAT amino acid sequence. Conserved sequence motifs for protein interactions along with charge distribution are critical sequence features, and contribute to interpretation of human genetic variation in LAT. While mutant defect severity spans from moderate to complete loss of function, nearly all defective mutants, irrespective of their position in LAT, confer balanced defects across all downstream pathways. To understand the molecular basis for this observation, we performed proximal protein labeling which demonstrated that disruption of LAT interaction with a single partner protein indirectly disrupts other partner interactions, likely through the dual roles of these proteins as effectors of downstream pathways and bridging factors between LAT molecules. Overall, we report widely distributed functional regions throughout a disordered adapter and a precise physical organization of LAT and interacting molecules which constrains signaling outputs. More broadly, we describe an approach for interrogating sequence-function relationships for proteins with complex activities across regulatory layers of the cell.