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Barkai, N.

Publications and source records attributed to Barkai, N..

At least 19 recordsLinked to original sources

Activator-binding domains are required but insufficient for Med15 recruitment to UAS, revealing a critical role for its disordered C-terminus in directing genome targeting

The Mediator complex is a conserved transcriptional coactivator that bridges transcription factors (TFs) with the core transcriptional machinery. In budding yeast, TFs recruit the Mediator to upstream activation sequences (UASs) by interacting with three activator-binding domains (ABDs) within the Med15 tail subunit. However, these ABD-TF interactions exhibit relatively low affinity, raising the question of whether they fully account for Med15 recruitment in vivo. Here, we address this question by combining genome-wide profiling with systematic mutational analysis. We demonstrate that while the three ABDs are collectively required for Med15 recruitment, they are not individually required and are not sufficient to specify the genomic binding pattern of Med15. Instead, removal of an intrinsically disordered C-terminal redistributes Med15 occupancy across UASs. Notably, C-terminal truncation alters Med15 binding even at TF-depleted regions, and these effects are recapitulated by deleting Med2 or Med3, which further stabilize TF-dependent recruitment. Together, these findings support a dual mechanism of Med15 UAS recruitment, whereby TF-ABD recruitment is directed and stabilized by C-terminal mediated interactions.

genomics↗

Beyond motif recognition: Specificity of human transcription factors in yeast

Transcription factors (TFs) bind DNA through sequence-specific DNA-binding domains (DBDs), yet genome-wide analyses show that TFs occupy only a small fraction of their motif occurrences. This raises the question of how TFs distinguish specific targets from the many potential sites in the genome. To investigate determinants of binding specificity beyond the cognate motif and cofactor influences, we measured the binding of 60 human TFs across the budding yeast genome. Although human TFs robustly recognized their motifs, they displayed strong selectivity in site occupancy. Nucleosome abundance explained this selectivity only in part: among the 5-20% of motif sites that were bound, a substantial fraction remained nucleosome covered. Furthermore, TFs recognizing similar motif sequences independently localized to distinct subsets of sites within different promoters. Despite the absence of human-specific cofactors in yeast, both binding stability and genomic preferences depended on largely disordered non-DBD regions. These findings suggest intrinsically disordered regions (IDRs) may therefore direct genome binding TF target recognition across evolutionarily distant genomes. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=124 SRC="FIGDIR/small/721015v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@7db4cborg.highwire.dtl.DTLVardef@e88903org.highwire.dtl.DTLVardef@7b3e11org.highwire.dtl.DTLVardef@127ef29_HPS_FORMAT_FIGEXP M_FIG C_FIG

genetics↗

Pex9 regulates TORC2 during the cellular response to oxidative stress

Peroxisomes are known for their detoxification role in cellular reactive oxygen species (ROS) homeostasis, yet their regulatory roles in cellular recovery from oxidative stress remain unclear. Here, using yeast, we systematically screened a panel of fluorescently tagged peroxisome-related proteins and identified widespread stress-induced changes in their localization. Notably, we discovered that the peroxisomal import receptor, Pex9, rapidly enters the nucleus upon H2O2 exposure, independently of the canonical oxidative stress regulators-Yap1 and Skn7, suggesting a non-canonical signaling function. We further show that Pex9 nuclear entry is modulated by Avo1, an essential Tor complex 2 (TORC2) subunit. In turn, Pex9 downregulates the essential TOR complexes kinase, Tor2, at both the transcriptional and protein levels. Finally, we show that this Pex9-TORC2 regulatory loop during oxidative stress is facilitated by the cellular envelope stress response. Our findings uncover an unexpected peroxisome-TORC2 signaling axis and highlight the importance of organelles in shaping global cellular responses to stress.

cell biology↗

On the overlap of transcription factor binding and regulatory targets: functional and regulatory coherence of top-bound targets is masked by weakly bound ones

A recent study that systematically mapped genomic bindings and regulatory effects of transcription factors (TFs) reported a surprisingly low overlap between TF binding and regulatory targets in Saccharomyces cerevisiae1. Our analysis suggests that this conclusion depends on the permissive definition of binding targets, which includes a large fraction of weakly bound sites.

genomics↗

Protein massively parallel binding assay reveals transcription factor binding determinants

Transcription factors select their genomic binding sites in genomes depending on their DNA binding domain (DBD) but also on regions outside the DBD (nonDBD). However, it remains challenging to define these determinants within nonDBDs and reveal their mechanism of action. Towards this, we introduce here an in-vivo method for parallel analysis of thousands of designed peptides for binding a DNA sequence of interest (Protein Massively Parallel Binding Assay, pMPBA). We apply it to scan the full sequence space of budding yeast TFs and generate a detailed map of DNA localizing determinants. Within the set of predicted DBDs, we reveal a large variation in DNA binding affinities, depending on the family and on different sequence characteristics, including charge. Strong signals were not confined to predicted DBDs but included a considerable fraction of nonDBD peptides, most of which were predicted as intrinsically disordered. pMPBA opens new possibilities for high-throughput analysis of peptide-DNA binding within cells.

genomics↗

Design principles of transcription factors with intrinsically disordered regions

Transcription Factors (TFs) are proteins crucial for regulating gene expression. Effective regulation requires the TFs to rapidly bind to their correct target, enabling the cell to respond efficiently to stimuli such as nutrient availability or the presence of toxins. However, the search process is hindered by slow diffusive movement and the presence of false targets - DNA segments that are similar to the true target. In eukaryotic cells, most TFs contain an Intrinsically Disordered Region (IDR), which is commonly assumed to behave as a long, flexible polymeric tail composed of hundreds of amino acids. Recent experimental findings indicate that the IDR of certain TFs plays a pivotal role in the search process. However, the principles underlying the IDRs role remain unclear. Here, we reveal key design principles of the IDR related to TF binding affinity and search time. Our results demonstrate that the IDR significantly enhances both of these aspects. Furthermore, our model shows good agreement with experimental results, and we propose further experiments to validate the models predictions.

biophysics↗

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.

systems biology↗

The molecular mechanism of on-demand sterol biosynthesis at organelle contact sites

Contact-sites are specialized zones of proximity between two organelles, essential for organelle communication and coordination. The formation of contacts between the Endoplasmic Reticulum (ER), and other organelles, relies on a unique membrane environment enriched in sterols. However, how these sterol-rich domains are formed and maintained had not been understood. We found that the yeast membrane protein Yet3, the homolog of human BAP31, is localized to multiple ER contact sites. We show that Yet3 interacts with all the enzymes of the post-squalene ergosterol biosynthesis pathway and recruits them to create sterol-rich domains. Increasing sterol levels at ER contacts causes its depletion from the plasma membrane leading to a compensatory reaction and altered cell metabolism. Our data shows that Yet3 provides on-demand sterols at contacts thus shaping organellar structure and function. A molecular understanding of this proteins functions gives new insights into the role of BAP31 in development and pathology.

cell biology↗

Ordered and disordered regions of the Origin Recognition Complex (ORC) combine to direct in-vivo binding at symmetric and non-symmetric motif sequences.

The Origin Recognition Complex (ORC) seeds replication-fork formation by binding to DNA replication origins, which in budding yeast contain a 17bp DNA motif. High resolution structure of the ORC-DNA complex revealed two base-interacting elements: a disordered basic patch (Orc1-BP4) and an insertion helix (Orc4-IH). To define the ORC elements guiding its DNA binding in-vivo, we mapped genomic locations of 38 designed ORC mutants, revealing that different ORC elements guide binding at different sites. At silencing-associated sites lacking the motif, ORC binding and activity were fully explained by a BAH domain. Within replication origins, we reveal two dominating motif variants showing differential binding modes and symmetry: an asymmetric motif whose binding requires Orc1-BP4 and Orc4-IH, and a symmetric one where another basic patch, Orc1-BP3, can replace Orc4-IH. Disordered basic patches are therefore key for ORC-motif binding in-vivo, and we discuss how these conserved, minor-groove interacting elements can guide specific ORC-DNA recognition.

cell biology↗

Histone exchange sensors reveal variant specific dynamics in mouse embryonic stem cells

Eviction of histones from nucleosomes and their exchange with newly synthesized or alternative variants is a central epigenetic determinant. Here, we define the genome-wide incorporation and exchange pattern of canonical and non-canonical histone variants in mouse embryonic stem cells by implementing a recently established, genetically encoded exchange sensor. While exchange of all measured variants scales with transcription, we describe variant-specific associations with transcription elongation and Polycomb binding. We found considerable exchange of H3.1 and H2B variants in heterochromatin and repeat elements, contrasting the stable incorporation and little exchange of H3.3 in these regions. This unexpected association between H3.3 incorporation and exchange of canonical variants is also evident in active promoters and enhancers, and further validated by reduced H3.1 dynamics following depletion of the HIRA H3.3-specific chaperone. The sensor system provides a powerful tool for studying regulation of histone dynamics toward understanding its role in shaping the epigenetic landscape in vivo.

genomics↗

Rtt109 promotes nucleosome replacement ahead of the replicating fork

DNA replication perturbs chromatin by triggering the eviction, replacement and incorporation of nucleosomes. How this dynamic is orchestrated in time and space is poorly understood. Here, we apply a recently established sensor for histone exchange to follow the time-resolved histone H3 exchange profile in budding yeast cells undergoing synchronous replication. We find that new histones are incorporated not only behind, but also ahead of the replication fork. We provide evidence that Rtt109, the S phase-specific acetyltransferase, stabilizes nucleosomes behind the fork, but promotes H3 replacement ahead of the fork. Unexpectedly, increased replacement ahead of the fork is independent of the primary Rtt109 acetylation target H3K56, and rather results from Rtt109 activity towards the H3 N-terminus. Our results suggest that selective incorporation of differentially modified H3s behind and ahead of the replication fork results in opposing effects on histone exchange, which may contribute to genome stability by overcoming replication-associated challenges.

genomics↗

Evolution of binding preferences among whole-genome duplicated transcription factors

Throughout evolution, new transcription factors (TFs) emerge by gene duplication, promoting growth and rewiring of transcriptional networks. How TF duplicates diverge is known for only a few studied cases. To provide a genome-scale view, we considered the 35% of budding yeast TFs, classified as whole-genome duplication (WGD)-retained paralogs. Using high-resolution profiling, we find that ~60% of paralogs evolved differential binding preferences. We show that this divergence results primarily from variations outside the DNA binding domains (DBDs), while DBD preferences remain largely conserved. Analysis of non-WGD orthologs revealed that ancestral preferences are unevenly split between duplicates, while new targets are acquired preferentially by the least conserved paralog (biased sub/neo-functionalization). Dimer-forming paralogs evolved mostly one-sided dependency, while other paralogs interacted through low-magnitude DNA-binding competition that minimized paralog interference. We discuss the implications of our findings for the evolutionary design of transcriptional networks.

genomics↗

Generation and timing of graded responses to morphogen gradients

Morphogen gradients are known to subdivide a naive cell field into distinct zones of gene expression. Here we examine whether morphogens can also induce a graded response within such domains. To this end we explore the role of the Dorsal protein nuclear gradient along the dorso-ventral axis in defining the graded pattern of actomyosin constriction that initiates gastrulation in early Drosophila embryos. Two complementary mechanisms for graded accumulation of mRNAs of critical zygotic target genes were identified. First, activation of target-gene expression expands over time from the ventral-most region of high nuclear Dorsal to lateral regions where the levels are lower, due to a Dorsal-dependent priming probability of transcription sites. Thus, sites that are activated earlier will lead to more mRNA accumulation. Second, once the sites are primed, the rate of Pol II loading is also dependent on Dorsal levels. Morphological restrictions require that translation of the graded mRNA be delayed until completion of embryonic cell formation. Such timing is achieved by large introns, that provide a delay in production of the mature mRNAs.

developmental biology↗

Mapping the architecture of regulatory variation provides insights into the evolution of complex traits

BackgroundOrganisms evolve complex traits by recruiting existing programs to new contexts, referred as co-option. Within a species, single upstream regulators can trigger full differentiation programs. Distinguishing whether co-option of differentiation programs results from variation in single regulator, or in multiple genes, is key for understanding how complex traits evolve. As an experimentally accessible model for studying this question we turned to budding yeast, where a differentiation program (filamentous) is activated in S. cerevisiae only upon starvation, but used by the related species S. paradoxus also in rich conditions. ResultsTo define expression variations associated with species-specific activation of the filamentous program, we profiled the transcriptome of S. cerevisiae, S. paradoxus and their hybrid along two cell cycles at 5-minutes resolution. As expected in cases of co-option, expression of oscillating genes varies between the species in synchrony with their growth phenotypes and was dominated by upstream trans-variations. Focusing on regulators of filamentous growth, we identified gene-linked variations (cis) in multiple genes across regulatory layers, which propagated to affect expression of target genes, as well as binding specificities of downstream transcription factor. Unexpectedly, variations in regulators essential for S. cerevisiae filamentation were individually too weak to explain activation of this program in S. paradoxus. ConclusionsOur study reveals the complex architecture of regulatory variation associated with species-specific use of a differentiation program. Based on these results, we suggest a new model in which evolutionary co-option of complex traits is stabilized in a distributed manner through multiple weak-effect variations accumulating throughout the regulatory network.

evolutionary biology↗

Independent evolution of transcript abundance and gene regulatory dynamics

Changes in gene expression drive novel phenotypes, raising interest in how gene expression evolves. In contrast to the static genome, cells regulate gene expression to accommodate changing conditions. Previous comparative studies focused on specific conditions, describing inter-species variation in expression levels, but providing limited information about variations in gene regulation. To close this gap, we profiled gene expression of related yeast species in hundreds of conditions, and used co-expression analysis to distinguish variations in transcription regulation from variations in expression levels or environmental perception. The majority of genes whose expression varied between the species maintained a conserved transcriptional regulation. Profiling the interspecific hybrid provided insights into the basis of variations, showed that trans-varying alleles interact dominantly, and revealed complementation of cis-variations by variations in trans. Our data suggests that gene expression diverges primarily through changes in promoter strength that do not alter gene positioning within the transcription network.

systems biology↗

Transcription-factor binding to replicated DNA

Genome replication perturbs the DNA regulatory environment by displacing DNA-bound proteins, replacing nucleosomes, and introducing dosage-imbalance between regions replicating at different S phase stages. Recently, we showed that these effects are integrated to maintain transcription homeostasis: replicated genes increase in dosage, but their expression remains stable due to replication-dependent epigenetic changes that suppress transcription. Here, we examined whether reduced transcription from replicated DNA results from limited accessibility to regulatory factors, by measuring the time-resolved binding of RNA polymerase II (RNAPII) and specific transcription factors (TFs) to DNA during S phase in budding yeast. We show that RNAPII binding-pattern is largely insensitive to DNA dosage, indicating limited binding to replicated DNA. By contrast, binding of three TFs (Reb1, Abf1 and Rap1) to DNA increased with the increasing DNA dosage. We conclude that the replication-specific chromatin environment remains accessible to regulatory factors, but suppresses RNA polymerase recruitment.

systems biology↗

Resolving noise-control conflict by gene duplication

Gene duplication promotes adaptive evolution in two principle ways: allowing one duplicate to evolve a new function and resolving adaptive conflicts by splitting ancestral functions between the duplicates. In an apparent departure from both scenarios, low-expressing transcription factor (TF) duplicates commonly regulate similar sets of genes and act in overlapping conditions. To examine for possible benefits of such apparently redundant duplicates, we examined the budding yeast duplicated stress regulators Msn2 and Msn4. We show that Msn2,4 indeed function as one unit, inducing the same set of target genes in overlapping conditions, yet this two-factor composition allows its expression to be both environmental-responsive and with low-noise, thereby resolving an adaptive conflict that inherently limits expression of single genes. Our study exemplified a new model for evolution by gene duplication whereby duplicates provide adaptive benefit through cooperation, rather than functional divergence: attaining two-factor dynamics with beneficial properties that cannot be achieved by a single gene.

evolutionary biology↗

Gene transcription as a limiting factor in protein production and cell growth

Growth rate and cell size are principle characteristics of proliferating cells, whose values depend on cellular biosynthetic processes in a way poorly understood. Protein production is critical for growth, and we therefore examined for processes limiting this production. Burdening cells with an excess of inert protein changed endogenous gene expression similarly to transcription-perturbing mutants, was epistatic to these mutants, but did not deplete respective factors from gene promoters. Mathematical modeling, corroborated by experiments, attributed this signature to a feedback which proportionally increases all endogenous gene expression, but lags at fast initiating genes already transcribed close to the maximal possible rate. As a possible benefit of maximizing transcription rates, we discuss a conflict between cell growth rate and size, which emerges above a critical cell size set by transcript abundance. We propose that biochemical limits on protein and mRNA production define the characteristic values of cell size and division time.

cell biology↗