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Multiplex RNA single molecule FISH of inducible mRNAs in single yeast cells.
Li G, Neuert G
(2019) Sci Data 6: 94
MeSH Terms: In Situ Hybridization, Fluorescence, Membrane Transport Proteins, RNA, Fungal, RNA, Messenger, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins, Single-Cell Analysis
Show Abstract · Added February 5, 2020
Transcript levels powerfully influence cell behavior and phenotype and are carefully regulated at several steps. Recently developed single cell approaches such as RNA single molecule fluorescence in-situ hybridization (smFISH) have produced advances in our understanding of how these steps work within the cell. In comparison to single-cell sequencing, smFISH provides more accurate quantification of RNA levels. Additionally, transcript subcellular localization is directly visualized, enabling the analysis of transcription (initiation and elongation), RNA export and degradation. As part of our efforts to investigate how this type of analysis can generate improved models of gene expression, we used smFISH to quantify the kinetic expression of STL1 and CTT1 mRNAs in single Saccharomyces cerevisiae cells upon 0.2 and 0.4 M NaCl osmotic stress. In this Data Descriptor, we outline our procedure along with our data in the form of raw images and processed mRNA counts. We discuss how these data can be used to develop single cell modelling approaches, to study fundamental processes in transcription regulation and develop single cell image processing approaches.
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Yeast require redox switching in DNA primase.
O'Brien E, Salay LE, Epum EA, Friedman KL, Chazin WJ, Barton JK
(2018) Proc Natl Acad Sci U S A 115: 13186-13191
MeSH Terms: Crystallography, X-Ray, DNA Primase, Electron Transport, Iron-Sulfur Proteins, Models, Molecular, Mutation, Oxidation-Reduction, Protein Conformation, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins
Show Abstract · Added March 26, 2019
Eukaryotic DNA primases contain a [4Fe4S] cluster in the C-terminal domain of the p58 subunit (p58C) that affects substrate affinity but is not required for catalysis. We show that, in yeast primase, the cluster serves as a DNA-mediated redox switch governing DNA binding, just as in human primase. Despite a different structural arrangement of tyrosines to facilitate electron transfer between the DNA substrate and [4Fe4S] cluster, in yeast, mutation of tyrosines Y395 and Y397 alters the same electron transfer chemistry and redox switch. Mutation of conserved tyrosine 395 diminishes the extent of p58C participation in normal redox-switching reactions, whereas mutation of conserved tyrosine 397 causes oxidative cluster degradation to the [3Fe4S] species during p58C redox signaling. Switching between oxidized and reduced states in the presence of the Y397 mutations thus puts primase [4Fe4S] cluster integrity and function at risk. Consistent with these observations, we find that yeast tolerate mutations to Y395 in p58C, but the single-residue mutation Y397L in p58C is lethal. Our data thus show that a constellation of tyrosines for protein-DNA electron transfer mediates the redox switch in eukaryotic primases and is required for primase function in vivo.
Copyright © 2018 the Author(s). Published by PNAS.
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Distribution shapes govern the discovery of predictive models for gene regulation.
Munsky B, Li G, Fox ZR, Shepherd DP, Neuert G
(2018) Proc Natl Acad Sci U S A 115: 7533-7538
MeSH Terms: Gene Expression Regulation, Fungal, Models, Genetic, RNA, Fungal, RNA, Messenger, Saccharomyces cerevisiae
Show Abstract · Added February 5, 2020
Despite substantial experimental and computational efforts, mechanistic modeling remains more predictive in engineering than in systems biology. The reason for this discrepancy is not fully understood. One might argue that the randomness and complexity of biological systems are the main barriers to predictive understanding, but these issues are not unique to biology. Instead, we hypothesize that the specific shapes of rare single-molecule event distributions produce substantial yet overlooked challenges for biological models. We demonstrate why modern statistical tools to disentangle complexity and stochasticity, which assume normally distributed fluctuations or enormous datasets, do not apply to the discrete, positive, and nonsymmetric distributions that characterize mRNA fluctuations in single cells. As an example, we integrate single-molecule measurements and advanced computational analyses to explore mitogen-activated protein kinase induction of multiple stress response genes. Through systematic analyses of different metrics to compare the same model to the same data, we elucidate why standard modeling approaches yield nonpredictive models for single-cell gene regulation. We further explain how advanced tools recover precise, reproducible, and predictive understanding of transcription regulation mechanisms, including gene activation, polymerase initiation, elongation, mRNA accumulation, spatial transport, and decay.
Copyright © 2018 the Author(s). Published by PNAS.
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Set2 methyltransferase facilitates cell cycle progression by maintaining transcriptional fidelity.
Dronamraju R, Jha DK, Eser U, Adams AT, Dominguez D, Choudhury R, Chiang YC, Rathmell WK, Emanuele MJ, Churchman LS, Strahl BD
(2018) Nucleic Acids Res 46: 1331-1344
MeSH Terms: Anaphase-Promoting Complex-Cyclosome, Biological Evolution, Cdc20 Proteins, Cell Cycle, Gene Expression Regulation, Fungal, Histone-Lysine N-Methyltransferase, Histones, Humans, Lysine, Methylation, Methyltransferases, Nocodazole, Protein Processing, Post-Translational, Proteolysis, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins, Transcription, Genetic, Tubulin Modulators
Show Abstract · Added October 30, 2019
Methylation of histone H3 lysine 36 (H3K36me) by yeast Set2 is critical for the maintenance of chromatin structure and transcriptional fidelity. However, we do not know the full range of Set2/H3K36me functions or the scope of mechanisms that regulate Set2-dependent H3K36 methylation. Here, we show that the APC/CCDC20 complex regulates Set2 protein abundance during the cell cycle. Significantly, absence of Set2-mediated H3K36me causes a loss of cell cycle control and pronounced defects in the transcriptional fidelity of cell cycle regulatory genes, a class of genes that are generally long, hence highly dependent on Set2/H3K36me for their transcriptional fidelity. Because APC/C also controls human SETD2, and SETD2 likewise regulates cell cycle progression, our data imply an evolutionarily conserved cell cycle function for Set2/SETD2 that may explain why recurrent mutations of SETD2 contribute to human disease.
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Ubiquitin turnover and endocytic trafficking in yeast are regulated by Ser57 phosphorylation of ubiquitin.
Lee S, Tumolo JM, Ehlinger AC, Jernigan KK, Qualls-Histed SJ, Hsu PC, McDonald WH, Chazin WJ, MacGurn JA
(2017) Elife 6:
MeSH Terms: Endocytosis, Homeostasis, Phosphoprotein Phosphatases, Phosphorylation, Protein Processing, Post-Translational, Saccharomyces cerevisiae Proteins, Ubiquitin, Yeasts
Show Abstract · Added March 24, 2018
Despite its central role in protein degradation little is known about the molecular mechanisms that sense, maintain, and regulate steady state concentration of ubiquitin in the cell. Here, we describe a novel mechanism for regulation of ubiquitin homeostasis that is mediated by phosphorylation of ubiquitin at the Ser57 position. We find that loss of Ppz phosphatase activity leads to defects in ubiquitin homeostasis that are at least partially attributable to elevated levels of Ser57 phosphorylated ubiquitin. Phosphomimetic mutation at the Ser57 position of ubiquitin conferred increased rates of endocytic trafficking and ubiquitin turnover. These phenotypes are associated with bypass of recognition by endosome-localized deubiquitylases - including Doa4 which is critical for regulation of ubiquitin recycling. Thus, ubiquitin homeostasis is significantly impacted by the rate of ubiquitin flux through the endocytic pathway and by signaling pathways that converge on ubiquitin itself to determine whether it is recycled or degraded in the vacuole.
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8 MeSH Terms
COPI mediates recycling of an exocytic SNARE by recognition of a ubiquitin sorting signal.
Xu P, Hankins HM, MacDonald C, Erlinger SJ, Frazier MN, Diab NS, Piper RC, Jackson LP, MacGurn JA, Graham TR
(2017) Elife 6:
MeSH Terms: Coat Protein Complex I, Exosomes, Protein Transport, R-SNARE Proteins, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins, Ubiquitin
Show Abstract · Added March 14, 2018
The COPI coat forms transport vesicles from the Golgi complex and plays a poorly defined role in endocytic trafficking. Here we show that COPI binds K63-linked polyubiquitin and this interaction is crucial for trafficking of a ubiquitinated yeast SNARE (Snc1). Snc1 is a v-SNARE that drives fusion of exocytic vesicles with the plasma membrane, and then recycles through the endocytic pathway to the Golgi for reuse in exocytosis. Removal of ubiquitin from Snc1, or deletion of a β'-COP subunit propeller domain that binds K63-linked polyubiquitin, disrupts Snc1 recycling causing aberrant accumulation in internal compartments. Moreover, replacement of the β'-COP propeller domain with unrelated ubiquitin-binding domains restores Snc1 recycling. These results indicate that ubiquitination, a modification well known to target membrane proteins to the lysosome or vacuole for degradation, can also function as recycling signal to sort a SNARE into COPI vesicles in a non-degradative pathway.
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7 MeSH Terms
Nup42 and IP coordinate Gle1 stimulation of Dbp5/DDX19B for mRNA export in yeast and human cells.
Adams RL, Mason AC, Glass L, Aditi , Wente SR
(2017) Traffic 18: 776-790
MeSH Terms: Active Transport, Cell Nucleus, DEAD-box RNA Helicases, Humans, Nuclear Pore, Nuclear Pore Complex Proteins, Nucleocytoplasmic Transport Proteins, Phytic Acid, RNA, Messenger, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins
Show Abstract · Added March 30, 2018
The mRNA lifecycle is driven through spatiotemporal changes in the protein composition of mRNA particles (mRNPs) that are triggered by RNA-dependent DEAD-box protein (Dbp) ATPases. As mRNPs exit the nuclear pore complex (NPC) in Saccharomyces cerevisiae, this remodeling occurs through activation of Dbp5 by inositol hexakisphosphate (IP )-bound Gle1. At the NPC, Gle1 also binds Nup42, but Nup42's molecular function is unclear. Here we employ the power of structure-function analysis in S. cerevisiae and human (h) cells, and find that the high-affinity Nup42-Gle1 interaction is integral to Dbp5 (hDDX19B) activation and efficient mRNA export. The Nup42 carboxy-terminal domain (CTD) binds Gle1/hGle1B at an interface distinct from the Gle1-Dbp5/hDDX19B interaction site. A nup42-CTD/gle1-CTD/Dbp5 trimeric complex forms in the presence of IP . Deletion of NUP42 abrogates Gle1-Dbp5 interaction, and disruption of the Nup42 or IP binding interfaces on Gle1/hGle1B leads to defective mRNA export in S. cerevisiae and human cells. In vitro, Nup42-CTD and IP stimulate Gle1/hGle1B activation of Dbp5 and DDX19B recombinant proteins in similar, nonadditive manners, demonstrating complete functional conservation between humans and S. cerevisiae. Together, a highly conserved mechanism governs spatial coordination of mRNP remodeling during export. This has implications for understanding human disease mutations that perturb the Nup42-hGle1B interaction.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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10 MeSH Terms
Analysis of DNA binding by human factor xeroderma pigmentosum complementation group A (XPA) provides insight into its interactions with nucleotide excision repair substrates.
Sugitani N, Voehler MW, Roh MS, Topolska-Woś AM, Chazin WJ
(2017) J Biol Chem 292: 16847-16857
MeSH Terms: Amino Acid Substitution, DNA Repair, DNA Repair Enzymes, DNA, Single-Stranded, Humans, Mutation, Missense, Nuclear Magnetic Resonance, Biomolecular, Protein Binding, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins, Structural Homology, Protein, Xeroderma Pigmentosum, Xeroderma Pigmentosum Group A Protein
Show Abstract · Added March 24, 2018
Xeroderma pigmentosum (XP) complementation group A (XPA) is an essential scaffolding protein in the multiprotein nucleotide excision repair (NER) machinery. The interaction of XPA with DNA is a core function of this protein; a number of mutations in the DNA-binding domain (DBD) are associated with XP disease. Although structures of the central globular domain of human XPA and data on binding of DNA substrates have been reported, the structural basis for XPA's DNA-binding activity remains unknown. X-ray crystal structures of the central globular domain of yeast XPA (Rad14) with lesion-containing DNA duplexes have provided valuable insights, but the DNA substrates used for this study do not correspond to the substrates of XPA as it functions within the NER machinery. To better understand the DNA-binding activity of human XPA in NER, we used NMR to investigate the interaction of its DBD with a range of DNA substrates. We found that XPA binds different single-stranded/double-stranded junction DNA substrates with a common surface. Comparisons of our NMR-based mapping of binding residues with the previously reported Rad14-DNA crystal structures revealed similarities and differences in substrate binding between XPA and Rad14. This includes direct evidence for DNA contacts to the residues extending C-terminally from the globular core, which are lacking in the Rad14 construct. Moreover, mutation of the XPA residue corresponding to Phe-262 in Rad14, previously reported as being critical for DNA binding, had only a moderate effect on the DNA-binding activity of XPA. The DNA-binding properties of several disease-associated mutations in the DBD were investigated. These results suggest that for XPA mutants exhibiting altered DNA-binding properties, a correlation exists between the extent of reduction in DNA-binding affinity and the severity of symptoms in XP patients.
© 2017 by The American Society for Biochemistry and Molecular Biology, Inc.
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13 MeSH Terms
Mms1 binds to G-rich regions in Saccharomyces cerevisiae and influences replication and genome stability.
Wanzek K, Schwindt E, Capra JA, Paeschke K
(2017) Nucleic Acids Res 45: 7796-7806
MeSH Terms: Binding Sites, Cell Cycle, Cullin Proteins, DNA Helicases, DNA Replication, DNA, Fungal, Endodeoxyribonucleases, Exodeoxyribonucleases, G-Quadruplexes, GC Rich Sequence, Genomic Instability, Models, Biological, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins
Show Abstract · Added March 14, 2018
The regulation of replication is essential to preserve genome integrity. Mms1 is part of the E3 ubiquitin ligase complex that is linked to replication fork progression. By identifying Mms1 binding sites genome-wide in Saccharomyces cerevisiae we connected Mms1 function to genome integrity and replication fork progression at particular G-rich motifs. This motif can form G-quadruplex (G4) structures in vitro. G4 are stable DNA structures that are known to impede replication fork progression. In the absence of Mms1, genome stability is at risk at these G-rich/G4 regions as demonstrated by gross chromosomal rearrangement assays. Mms1 binds throughout the cell cycle to these G-rich/G4 regions and supports the binding of Pif1 DNA helicase. Based on these data we propose a mechanistic model in which Mms1 binds to specific G-rich/G4 motif located on the lagging strand template for DNA replication and supports Pif1 function, DNA replication and genome integrity.
© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.
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14 MeSH Terms
Extensive Copy Number Variation in Fermentation-Related Genes Among Wine Strains.
Steenwyk J, Rokas A
(2017) G3 (Bethesda) 7: 1475-1485
MeSH Terms: DNA Copy Number Variations, Fermentation, Genes, Fungal, Saccharomyces cerevisiae, Wine
Show Abstract · Added April 6, 2017
Due to the importance of in wine-making, the genomic variation of wine yeast strains has been extensively studied. One of the major insights stemming from these studies is that wine yeast strains harbor low levels of genetic diversity in the form of single nucleotide polymorphisms (SNPs). Genomic structural variants, such as copy number (CN) variants, are another major type of variation segregating in natural populations. To test whether genetic diversity in CN variation is also low across wine yeast strains, we examined genome-wide levels of CN variation in 132 whole-genome sequences of wine strains. We found an average of 97.8 CN variable regions (CNVRs) affecting ∼4% of the genome per strain. Using two different measures of CN diversity, we found that gene families involved in fermentation-related processes such as copper resistance (), flocculation (), and glucose metabolism (), as well as the gene family whose members are expressed before or during the diauxic shift, showed substantial CN diversity across the 132 strains examined. Importantly, these same gene families have been shown, through comparative transcriptomic and functional assays, to be associated with adaptation to the wine fermentation environment. Our results suggest that CN variation is a substantial contributor to the genomic diversity of wine yeast strains, and identify several candidate loci whose levels of CN variation may affect the adaptation and performance of wine yeast strains during fermentation.
Copyright © 2017 Steenwyk and Rokas.
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5 MeSH Terms